[
  {
    "dataset": "bbeh",
    "family": "867eee43723fca16eea9db243620f3d1b2f5e8d043af209432962790d3f755cc",
    "id": "bbeh:boardgame_qa:001",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger has 62 dollars. The basenji has 23 dollars. The basenji is named Luna. The basenji is a programmer. The chinchilla reveals a secret to the cougar. The dolphin destroys the wall constructed by the songbird. The duck surrenders to the reindeer. The flamingo builds a power plant near the green fields of the monkey, and unites with the bulldog. The husky captures the king of the walrus. The ostrich is named Meadow. The otter has a 19 x 14 inches notebook. The otter is watching a movie from 2023. The owl is named Lucy. The poodle is one year old. The seahorse is named Lola. The vampire has 2 friends that are loyal and three friends that are not, and leaves the houses occupied by the dalmatian. The vampire has a cell phone. The mannikin does not want to see the ostrich. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, smiles at the stork, then the gadwall is not going to negotiate a deal with the mouse. Rule2: The worm suspects the truthfulness of the woodpecker whenever at least one animal acquires a photo of the chinchilla. Rule3: For the dugong, if you have two pieces of evidence 1) the akita does not disarm the dugong and 2) the ant enjoys the company of the dugong, then you can add \"dugong tears down the castle that belongs to the elk\" to your conclusions. Rule4: This is a basic rule: if the gadwall does not suspect the truthfulness of the akita, then the conclusion that the akita will not disarm the dugong follows immediately and effectively. Rule5: Regarding the basenji, if it has more money than the badger, then we can conclude that it does not unite with the camel. Rule6: If at least one animal trades one of its pieces with the frog, then the gadwall does not acquire a photo of the swallow. Rule7: The living creature that does not suspect the truthfulness of the fangtooth will never pay money to the bulldog. Rule8: One of the rules of the game is that if the dolphin destroys the wall built by the songbird, then the songbird will, without hesitation, smile at the stork. Rule9: This is a basic rule: if the vampire creates one castle for the bee, then the conclusion that \"the bee trades one of the pieces in its possession with the dinosaur\" follows immediately and effectively. Rule10: Are you certain that one of the animals is not going to negotiate a deal with the mouse and also does not acquire a photo of the swallow? Then you can also be certain that the same animal is never going to suspect the truthfulness of the akita. Rule11: If something builds a power plant close to the green fields of the seahorse, then it does not call the dugong. Rule12: If you are positive that you saw one of the animals unites with the bulldog, you can be certain that it will also trade one of its pieces with the frog. Rule13: This is a basic rule: if the duck disarms the ant, then the conclusion that \"the ant enjoys the company of the liger\" follows immediately and effectively. Rule14: This is a basic rule: if the worm suspects the truthfulness of the woodpecker, then the conclusion that \"the woodpecker will not take over the emperor of the pelikan\" follows immediately and effectively. Rule15: Regarding the basenji, if it works in marketing, then we can conclude that it unites with the camel. Rule16: If there is evidence that one animal, no matter which one, takes over the emperor of the pelikan, then the peafowl borrows a weapon from the dugong undoubtedly. Rule17: If you are positive that you saw one of the animals leaves the houses that are occupied by the dalmatian, you can be certain that it will also create a castle for the bee. Rule18: If the basenji has a notebook that fits in a 19.1 x 23.2 inches box, then the basenji does not unite with the camel. Rule19: Here is an important piece of information about the ostrich: if it has a high salary then it suspects the truthfulness of the fangtooth for sure. Rule20: Here is an important piece of information about the otter: if it is watching a movie that was released after covid started then it does not destroy the wall built by the gadwall for sure. Rule21: The cougar unquestionably acquires a photo of the chinchilla, in the case where the chinchilla reveals a secret to the cougar. Rule22: The living creature that builds a power plant close to the green fields of the monkey will never trade one of the pieces in its possession with the frog. Rule23: This is a basic rule: if the chihuahua stops the victory of the gadwall, then the conclusion that \"the gadwall suspects the truthfulness of the akita\" follows immediately and effectively. Rule24: If at least one animal hugs the leopard, then the bulldog does not enjoy the companionship of the crab. Rule25: From observing that one animal enjoys the company of the crab, one can conclude that it also builds a power plant near the green fields of the seahorse, undoubtedly. Rule26: The butterfly does not take over the emperor of the ant whenever at least one animal unites with the camel. Rule27: Regarding the otter, if it has a notebook that fits in a 15.8 x 23.7 inches box, then we can conclude that it destroys the wall built by the gadwall. Rule28: If the vampire has something to carry apples and oranges, then the vampire does not create one castle for the bee. Rule29: The bulldog unquestionably enjoys the companionship of the crab, in the case where the ostrich does not pay money to the bulldog. Rule30: The chihuahua stops the victory of the gadwall whenever at least one animal shouts at the dachshund. Rule31: The woodpecker takes over the emperor of the pelikan whenever at least one animal trades one of the pieces in its possession with the dinosaur. Rule32: Regarding the ostrich, if it has a name whose first letter is the same as the first letter of the seahorse's name, then we can conclude that it suspects the truthfulness of the fangtooth. Rule33: The living creature that enjoys the companionship of the liger will also enjoy the company of the dugong, without a doubt. Rule34: The dugong unquestionably swears to the dragonfly, in the case where the bulldog does not call the dugong. Rule35: The ostrich will not suspect the truthfulness of the fangtooth, in the case where the mannikin does not want to see the ostrich. Rule36: If something does not swim in the pool next to the house of the elk, then it disarms the ant. Rule37: From observing that an animal tears down the castle that belongs to the elk, one can conclude the following: that animal does not swear to the dragonfly. Rule38: The basenji will unite with the camel if it (the basenji) has a name whose first letter is the same as the first letter of the owl's name. Rule39: If something surrenders to the reindeer, then it does not swim inside the pool located besides the house of the elk. Rule40: Regarding the poodle, if it is less than 21 months old, then we can conclude that it shouts at the dachshund. Rule10 is preferred over Rule23. Rule12 is preferred over Rule22. Rule17 is preferred over Rule28. Rule18 is preferred over Rule15. Rule18 is preferred over Rule38. Rule19 is preferred over Rule35. Rule20 is preferred over Rule27. Rule24 is preferred over Rule29. Rule31 is preferred over Rule14. Rule32 is preferred over Rule35. Rule37 is preferred over Rule34. Rule5 is preferred over Rule15. Rule5 is preferred over Rule38. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the dugong swear to the dragonfly? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "1098baf2afbacb352c9b9f5fb5339e07d2886d1028223617a57bd07b1481899e",
    "id": "bbeh:boardgame_qa:007",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has 91 dollars, and is currently in Antalya. The crow has 18 dollars. The dalmatian has 80 dollars. The finch is named Tessa. The german shepherd is a sales manager. The leopard has 75 dollars. The leopard is named Tarzan. The liger manages to convince the dove. The owl creates one castle for the ostrich. The peafowl negotiates a deal with the woodpecker. The songbird shouts at the wolf. The german shepherd does not refuse to help the worm. And the rules of the game are as follows. Rule1: The akita hugs the starling whenever at least one animal creates one castle for the ostrich. Rule2: There exists an animal which manages to persuade the dove? Then, the leopard definitely does not tear down the castle of the crab. Rule3: The wolf unquestionably invests in the company owned by the mouse, in the case where the songbird shouts at the wolf. Rule4: One of the rules of the game is that if the cobra smiles at the badger, then the badger will, without hesitation, swim in the pool next to the house of the husky. Rule5: Here is an important piece of information about the akita: if it is in Germany at the moment then it does not hug the starling for sure. Rule6: If something surrenders to the seal, then it does not swim in the pool next to the house of the coyote. Rule7: Be careful when something refuses to help the dinosaur and also pays some $$$ to the shark because in this case it will surely surrender to the seal (this may or may not be problematic). Rule8: From observing that one animal invests in the company owned by the fangtooth, one can conclude that it also refuses to help the dinosaur, undoubtedly. Rule9: The living creature that stops the victory of the chinchilla will never invest in the company whose owner is the mouse. Rule10: The living creature that does not suspect the truthfulness of the beaver will never smile at the husky. Rule11: If you are positive that you saw one of the animals hugs the starling, you can be certain that it will also leave the houses occupied by the reindeer. Rule12: If the leopard tears down the castle of the crab, then the crab reveals a secret to the dachshund. Rule13: In order to conclude that the husky invests in the company owned by the fangtooth, two pieces of evidence are required: firstly the worm should hide the cards that she has from the husky and secondly the wolf should smile at the husky. Rule14: If the badger does not swim in the pool next to the house of the husky, then the husky does not refuse to help the bee. Rule15: The woodpecker unquestionably unites with the zebra, in the case where the peafowl negotiates a deal with the woodpecker. Rule16: Regarding the german shepherd, if it works in marketing, then we can conclude that it disarms the worm. Rule17: Regarding the akita, if it has more money than the flamingo and the crow combined, then we can conclude that it does not hug the starling. Rule18: The reindeer unquestionably smiles at the vampire, in the case where the akita leaves the houses that are occupied by the reindeer. Rule19: If there is evidence that one animal, no matter which one, smiles at the vampire, then the badger is not going to swim in the pool next to the house of the husky. Rule20: If you are positive that one of the animals does not refuse to help the bee, you can be certain that it will swim inside the pool located besides the house of the coyote without a doubt. Rule21: If at least one animal reveals something that is supposed to be a secret to the dachshund, then the seal surrenders to the bee. Rule22: This is a basic rule: if the bear trades one of the pieces in its possession with the seal, then the conclusion that \"the seal will not surrender to the bee\" follows immediately and effectively. Rule23: Regarding the leopard, if it has more money than the dalmatian, then we can conclude that it tears down the castle of the crab. Rule24: One of the rules of the game is that if the german shepherd disarms the worm, then the worm will, without hesitation, hide her cards from the husky. Rule25: The husky pays money to the shark whenever at least one animal surrenders to the bee. Rule26: The leopard will tear down the castle of the crab if it (the leopard) has a name whose first letter is the same as the first letter of the finch's name. Rule27: If you are positive that you saw one of the animals invests in the company owned by the mouse, you can be certain that it will also smile at the husky. Rule10 is preferred over Rule27. Rule17 is preferred over Rule1. Rule22 is preferred over Rule21. Rule23 is preferred over Rule2. Rule26 is preferred over Rule2. Rule4 is preferred over Rule19. Rule5 is preferred over Rule1. Rule6 is preferred over Rule20. Rule9 is preferred over Rule3. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the husky swim in the pool next to the house of the coyote? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "41928b05ed518b94202a9f057e75263eaed3783a9671faa5e1c6795826c22e99",
    "id": "bbeh:boardgame_qa:018",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver negotiates a deal with the butterfly. The chihuahua has a basketball with a diameter of 21 inches. The coyote enjoys the company of the chinchilla, and was born 7 weeks ago. The lizard dances with the bulldog. The mannikin shouts at the gadwall. The otter has 1 friend that is energetic and three friends that are not. The otter has a guitar. The pelikan stops the victory of the badger. And the rules of the game are as follows. Rule1: Regarding the otter, if it has a musical instrument, then we can conclude that it borrows one of the weapons of the swallow. Rule2: One of the rules of the game is that if the pelikan stops the victory of the badger, then the badger will, without hesitation, swear to the seahorse. Rule3: The starling unquestionably creates one castle for the beaver, in the case where the coyote does not shout at the starling. Rule4: If at least one animal swears to the seahorse, then the bee negotiates a deal with the wolf. Rule5: The coyote will not shout at the starling if it (the coyote) is less than 3 and a half years old. Rule6: The living creature that enjoys the company of the chinchilla will also shout at the starling, without a doubt. Rule7: If you are positive that you saw one of the animals wants to see the flamingo, you can be certain that it will not reveal a secret to the german shepherd. Rule8: For the gorilla, if you have two pieces of evidence 1) the gadwall does not swear to the gorilla and 2) the chihuahua hugs the gorilla, then you can add \"gorilla builds a power plant near the green fields of the beaver\" to your conclusions. Rule9: If you are positive that you saw one of the animals invests in the company whose owner is the ostrich, you can be certain that it will not build a power plant close to the green fields of the beaver. Rule10: The living creature that does not enjoy the companionship of the peafowl will never leave the houses that are occupied by the frog. Rule11: If at least one animal dances with the bulldog, then the chihuahua hugs the gorilla. Rule12: The german shepherd will not trade one of its pieces with the fangtooth, in the case where the beaver does not reveal something that is supposed to be a secret to the german shepherd. Rule13: The beaver does not swear to the pigeon, in the case where the starling creates one castle for the beaver. Rule14: Here is an important piece of information about the beaver: if it is watching a movie that was released before Zinedine Zidane was born then it enjoys the companionship of the peafowl for sure. Rule15: If something negotiates a deal with the butterfly, then it does not enjoy the companionship of the peafowl. Rule16: If something negotiates a deal with the wolf, then it enjoys the companionship of the reindeer, too. Rule17: The gadwall does not swear to the gorilla, in the case where the mannikin shouts at the gadwall. Rule18: There exists an animal which borrows a weapon from the swallow? Then the reindeer definitely falls on a square that belongs to the crow. Rule19: If the otter has fewer than three friends, then the otter borrows one of the weapons of the swallow. Rule20: If there is evidence that one animal, no matter which one, falls on a square of the crow, then the beaver is not going to build a power plant near the green fields of the rhino. Rule21: Are you certain that one of the animals is not going to build a power plant near the green fields of the rhino and also does not swear to the pigeon? Then you can also be certain that the same animal wants to see the flamingo. Rule14 is preferred over Rule15. Rule5 is preferred over Rule6. Rule9 is preferred over Rule8. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the german shepherd trade one of its pieces with the fangtooth? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "b96a1569b6fded16089a89f8aff09d0827b517a4c8d4e9b8d3ececf5643f3376",
    "id": "bbeh:boardgame_qa:024",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has 61 dollars, and is four months old. The akita has a bench, and is a high school teacher. The beetle has a violin, and is named Tarzan. The cobra has a low-income job, and was born four years ago. The cougar has 17 dollars. The coyote has 40 dollars. The crab has 59 dollars. The dragonfly is named Teddy. The duck has 90 dollars. The dugong has a basketball with a diameter of 19 inches. The dugong is a software developer. The llama has 66 dollars. The llama has a football with a radius of 20 inches. The mouse has a card that is indigo in color, and invented a time machine. The pelikan suspects the truthfulness of the songbird. The starling has 47 dollars. The woodpecker hugs the cobra. The zebra has 84 dollars. The zebra is currently in Berlin. And the rules of the game are as follows. Rule1: The elk unquestionably enjoys the companionship of the worm, in the case where the seal shouts at the elk. Rule2: If at least one animal wants to see the zebra, then the mannikin brings an oil tank for the worm. Rule3: If the zebra acquires a photograph of the camel, then the camel destroys the wall constructed by the mannikin. Rule4: Regarding the mouse, if it has a card whose color starts with the letter \"i\", then we can conclude that it disarms the chihuahua. Rule5: The liger reveals a secret to the mule whenever at least one animal wants to see the dove. Rule6: The akita will not unite with the crow if it (the akita) has a leafy green vegetable. Rule7: If the gorilla reveals a secret to the worm and the elk enjoys the companionship of the worm, then the worm will not reveal a secret to the monkey. Rule8: Here is an important piece of information about the akita: if it works in education then it unites with the crow for sure. Rule9: The cobra unquestionably reveals a secret to the seal, in the case where the woodpecker hugs the cobra. Rule10: If the cobra reveals a secret to the seal, then the seal shouts at the elk. Rule11: The elk acquires a photograph of the vampire whenever at least one animal surrenders to the mannikin. Rule12: One of the rules of the game is that if the liger reveals something that is supposed to be a secret to the mule, then the mule will, without hesitation, hide the cards that she has from the owl. Rule13: This is a basic rule: if the owl creates a castle for the akita, then the conclusion that \"the akita will not build a power plant close to the green fields of the mule\" follows immediately and effectively. Rule14: The monkey disarms the owl whenever at least one animal hides her cards from the owl. Rule15: Regarding the dugong, if it has a basketball that fits in a 24.2 x 23.6 x 27.7 inches box, then we can conclude that it wants to see the dove. Rule16: Are you certain that one of the animals does not pay some $$$ to the liger but it does disarm the owl? Then you can also be certain that this animal surrenders to the lizard. Rule17: Here is an important piece of information about the mouse: if it is in South America at the moment then it does not disarm the chihuahua for sure. Rule18: Here is an important piece of information about the mouse: if it purchased a time machine then it does not disarm the chihuahua for sure. Rule19: One of the rules of the game is that if the mannikin does not bring an oil tank for the worm, then the worm will, without hesitation, reveal a secret to the monkey. Rule20: The beetle will surrender to the mannikin if it (the beetle) has a name whose first letter is the same as the first letter of the dragonfly's name. Rule21: The mannikin does not bring an oil tank for the worm, in the case where the camel destroys the wall constructed by the mannikin. Rule22: The akita will unite with the crow if it (the akita) has more money than the cougar and the duck combined. Rule23: The chihuahua unquestionably leaves the houses occupied by the gorilla, in the case where the shark suspects the truthfulness of the chihuahua. Rule24: Here is an important piece of information about the zebra: if it is in South America at the moment then it acquires a photograph of the camel for sure. Rule25: This is a basic rule: if the mouse disarms the chihuahua, then the conclusion that \"the chihuahua will not leave the houses occupied by the gorilla\" follows immediately and effectively. Rule26: One of the rules of the game is that if the monkey does not surrender to the lizard, then the lizard will, without hesitation, surrender to the dinosaur. Rule27: Regarding the dugong, if it works in healthcare, then we can conclude that it wants to see the dove. Rule28: If the zebra has more money than the crab, then the zebra acquires a photo of the camel. Rule29: The beetle will surrender to the mannikin if it (the beetle) has a device to connect to the internet. Rule30: The llama does not enjoy the company of the camel whenever at least one animal suspects the truthfulness of the songbird. Rule31: If you are positive that you saw one of the animals neglects the peafowl, you can be certain that it will not acquire a photograph of the vampire. Rule32: This is a basic rule: if the chihuahua does not leave the houses that are occupied by the gorilla, then the conclusion that the gorilla reveals a secret to the worm follows immediately and effectively. Rule33: This is a basic rule: if the worm does not reveal something that is supposed to be a secret to the monkey, then the conclusion that the monkey will not surrender to the lizard follows immediately and effectively. Rule34: From observing that one animal unites with the crow, one can conclude that it also builds a power plant close to the green fields of the mule, undoubtedly. Rule13 is preferred over Rule34. Rule16 is preferred over Rule33. Rule17 is preferred over Rule4. Rule18 is preferred over Rule4. Rule2 is preferred over Rule21. Rule22 is preferred over Rule6. Rule23 is preferred over Rule25. Rule31 is preferred over Rule11. Rule7 is preferred over Rule19. Rule8 is preferred over Rule6. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the lizard surrender to the dinosaur? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "feaba37d2c5085d9ec81391e2df7548250f353d65dac5e16b85ddf41be5c35fb",
    "id": "bbeh:boardgame_qa:031",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The dinosaur negotiates a deal with the chinchilla. The gorilla has a football with a radius of 16 inches. The leopard shouts at the goat. The owl has a violin. The owl is watching a movie from 2011, is a nurse, and is currently in Peru. The peafowl has a 11 x 10 inches notebook. The poodle is a teacher assistant, and is currently in Istanbul. And the rules of the game are as follows. Rule1: There exists an animal which neglects the pelikan? Then the cobra definitely destroys the wall built by the akita. Rule2: The living creature that hugs the bulldog will also unite with the vampire, without a doubt. Rule3: If the owl has something to sit on, then the owl does not trade one of its pieces with the dragon. Rule4: If at least one animal builds a power plant close to the green fields of the lizard, then the llama creates one castle for the stork. Rule5: The akita neglects the pelikan whenever at least one animal swears to the walrus. Rule6: If the gorilla builds a power plant close to the green fields of the snake, then the snake reveals a secret to the dove. Rule7: Here is an important piece of information about the peafowl: if it has a notebook that fits in a 13.7 x 14.9 inches box then it hugs the bulldog for sure. Rule8: If there is evidence that one animal, no matter which one, unites with the vampire, then the snake is not going to neglect the bee. Rule9: The living creature that creates a castle for the frog will never acquire a photograph of the chinchilla. Rule10: If the leopard calls the fish, then the fish trades one of its pieces with the monkey. Rule11: From observing that an animal neglects the coyote, one can conclude the following: that animal does not disarm the snake. Rule12: If there is evidence that one animal, no matter which one, disarms the songbird, then the crow disarms the snake undoubtedly. Rule13: If the owl acquires a photograph of the chinchilla, then the chinchilla disarms the songbird. Rule14: If the akita does not invest in the company owned by the snake but the crow disarms the snake, then the snake builds a power plant close to the green fields of the lizard unavoidably. Rule15: One of the rules of the game is that if the shark creates one castle for the snake, then the snake will, without hesitation, bring an oil tank for the swan. Rule16: The living creature that suspects the truthfulness of the bee will never unite with the vampire. Rule17: If you are positive that one of the animals does not neglect the bee, you can be certain that it will shout at the gadwall without a doubt. Rule18: Here is an important piece of information about the poodle: if it is in Africa at the moment then it swears to the walrus for sure. Rule19: If the owl is watching a movie that was released before covid started, then the owl does not trade one of its pieces with the dragon. Rule20: The living creature that reveals something that is supposed to be a secret to the dove will never reveal a secret to the camel. Rule21: Are you certain that one of the animals does not bring an oil tank for the swan but it does shout at the gadwall? Then you can also be certain that the same animal does not build a power plant close to the green fields of the lizard. Rule22: If the gorilla has a football that fits in a 34.8 x 37.5 x 40.7 inches box, then the gorilla builds a power plant close to the green fields of the snake. Rule23: This is a basic rule: if the cobra destroys the wall constructed by the akita, then the conclusion that \"the akita will not invest in the company owned by the snake\" follows immediately and effectively. Rule24: Here is an important piece of information about the owl: if it works in education then it creates one castle for the frog for sure. Rule25: The living creature that does not trade one of the pieces in its possession with the dragon will acquire a photograph of the chinchilla with no doubts. Rule26: If you are positive that you saw one of the animals shouts at the goat, you can be certain that it will also call the fish. Rule27: If something hugs the flamingo, then it neglects the bee, too. Rule28: Here is an important piece of information about the poodle: if it works in education then it swears to the walrus for sure. Rule29: The living creature that does not reveal something that is supposed to be a secret to the camel will never bring an oil tank for the swan. Rule30: If the owl is in South America at the moment, then the owl creates one castle for the frog. Rule11 is preferred over Rule12. Rule14 is preferred over Rule21. Rule15 is preferred over Rule29. Rule16 is preferred over Rule2. Rule25 is preferred over Rule9. Rule27 is preferred over Rule8. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the llama create one castle for the stork? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "a5cef841d6a6b37ad6e5b475f4a87dd5820641a7e759c216c64ace86fce39a4b",
    "id": "bbeh:boardgame_qa:034",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The crab dances with the bee, and is watching a movie from 1924. The dachshund smiles at the peafowl. The elk swims in the pool next to the house of the mule. The seahorse unites with the lizard. The starling has a 13 x 10 inches notebook, and is a marketing manager. The swan enjoys the company of the elk. The zebra does not suspect the truthfulness of the reindeer. And the rules of the game are as follows. Rule1: The starling will not refuse to help the gorilla, in the case where the zebra does not hide her cards from the starling. Rule2: If something swims inside the pool located besides the house of the mule, then it swims inside the pool located besides the house of the fangtooth, too. Rule3: The fangtooth unquestionably calls the swan, in the case where the elk swims in the pool next to the house of the fangtooth. Rule4: If at least one animal negotiates a deal with the stork, then the fangtooth unites with the badger. Rule5: If there is evidence that one animal, no matter which one, swears to the dragonfly, then the butterfly is not going to leave the houses occupied by the pelikan. Rule6: The living creature that does not hug the mermaid will surrender to the butterfly with no doubts. Rule7: The butterfly unquestionably leaves the houses that are occupied by the pelikan, in the case where the fangtooth enjoys the companionship of the butterfly. Rule8: If you see that something creates one castle for the dalmatian and hides the cards that she has from the flamingo, what can you certainly conclude? You can conclude that it does not leave the houses that are occupied by the basenji. Rule9: The starling will not hug the mermaid if it (the starling) works in marketing. Rule10: One of the rules of the game is that if the songbird acquires a photo of the starling, then the starling will never surrender to the butterfly. Rule11: If something dances with the bee, then it manages to convince the crow, too. Rule12: The living creature that does not refuse to help the gorilla will create one castle for the dalmatian with no doubts. Rule13: If there is evidence that one animal, no matter which one, manages to convince the crow, then the fangtooth is not going to call the swan. Rule14: If something surrenders to the butterfly, then it hides the cards that she has from the flamingo, too. Rule15: If something does not leave the houses that are occupied by the basenji, then it tears down the castle of the wolf. Rule16: If you are positive that you saw one of the animals stops the victory of the coyote, you can be certain that it will not enjoy the company of the butterfly. Rule17: If there is evidence that one animal, no matter which one, smiles at the peafowl, then the gorilla trades one of the pieces in its possession with the starling undoubtedly. Rule18: The living creature that does not leave the houses occupied by the pelikan will capture the king of the peafowl with no doubts. Rule19: If the gorilla trades one of its pieces with the starling and the dugong captures the king (i.e. the most important piece) of the starling, then the starling refuses to help the gorilla. Rule20: One of the rules of the game is that if the starling tears down the castle of the wolf, then the wolf will, without hesitation, pay some $$$ to the snake. Rule21: If the zebra has a basketball that fits in a 26.1 x 27.7 x 24.6 inches box, then the zebra hides the cards that she has from the starling. Rule22: If at least one animal unites with the badger, then the german shepherd swears to the dragonfly. Rule23: This is a basic rule: if the swan enjoys the company of the elk, then the conclusion that \"the elk will not swim in the pool next to the house of the fangtooth\" follows immediately and effectively. Rule24: The living creature that calls the swan will also enjoy the companionship of the butterfly, without a doubt. Rule25: If the starling has a notebook that fits in a 9.6 x 12.6 inches box, then the starling does not hug the mermaid. Rule26: If something does not suspect the truthfulness of the reindeer, then it does not hide her cards from the starling. Rule27: One of the rules of the game is that if the seahorse unites with the lizard, then the lizard will, without hesitation, negotiate a deal with the stork. Rule10 is preferred over Rule6. Rule16 is preferred over Rule24. Rule19 is preferred over Rule1. Rule2 is preferred over Rule23. Rule21 is preferred over Rule26. Rule3 is preferred over Rule13. Rule5 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the wolf pay money to the snake? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "cb3459d3554a410504ea9fbeeeed62cc5cd4379ef3ca260e495333c833e0a64a",
    "id": "bbeh:boardgame_qa:037",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has seventeen friends. The pigeon is a programmer. The reindeer negotiates a deal with the chihuahua. The worm destroys the wall constructed by the snake. The worm tears down the castle that belongs to the crab. And the rules of the game are as follows. Rule1: The pigeon will swear to the lizard if it (the pigeon) is watching a movie that was released after Richard Nixon resigned. Rule2: The seal does not fall on a square that belongs to the goat whenever at least one animal stops the victory of the peafowl. Rule3: The seal unites with the akita whenever at least one animal manages to persuade the ostrich. Rule4: If you see that something does not tear down the castle of the dolphin but it swears to the dachshund, what can you certainly conclude? You can conclude that it also swears to the wolf. Rule5: The pigeon will swear to the lizard if it (the pigeon) works in agriculture. Rule6: If you are positive that you saw one of the animals tears down the castle that belongs to the crab, you can be certain that it will also swear to the dachshund. Rule7: The living creature that leaves the houses that are occupied by the walrus will never trade one of its pieces with the lizard. Rule8: For the dolphin, if you have two pieces of evidence 1) the llama invests in the company owned by the dolphin and 2) the swallow surrenders to the dolphin, then you can add \"dolphin manages to convince the ostrich\" to your conclusions. Rule9: If the worm created a time machine, then the worm tears down the castle of the dolphin. Rule10: If the akita has more than seven friends, then the akita trades one of its pieces with the lizard. Rule11: If at least one animal swears to the wolf, then the llama invests in the company whose owner is the dolphin. Rule12: The living creature that suspects the truthfulness of the duck will never surrender to the dolphin. Rule13: If the pigeon does not swear to the lizard, then the lizard unites with the swallow. Rule14: There exists an animal which negotiates a deal with the chihuahua? Then, the pigeon definitely does not swear to the lizard. Rule15: One of the rules of the game is that if the lizard unites with the swallow, then the swallow will, without hesitation, surrender to the dolphin. Rule16: If you are positive that you saw one of the animals destroys the wall constructed by the snake, you can be certain that it will not tear down the castle of the dolphin. Rule17: From observing that one animal unites with the akita, one can conclude that it also falls on a square of the goat, undoubtedly. Rule1 is preferred over Rule14. Rule12 is preferred over Rule15. Rule2 is preferred over Rule17. Rule5 is preferred over Rule14. Rule7 is preferred over Rule10. Rule9 is preferred over Rule16. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the seal fall on a square of the goat? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "7ecc887ed128882a3c5b231df8d582619d301e9df9e7708140e56d6628692c6b",
    "id": "bbeh:boardgame_qa:042",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The crow is named Buddy. The dolphin has 45 dollars. The frog has 93 dollars. The german shepherd has a 15 x 17 inches notebook. The german shepherd was born 4 years ago. The lizard destroys the wall constructed by the songbird. The pigeon has 78 dollars, and does not tear down the castle that belongs to the chihuahua. The poodle has 65 dollars. The snake has a banana-strawberry smoothie. The snake is watching a movie from 1967. The songbird is named Beauty. The stork has 62 dollars. And the rules of the game are as follows. Rule1: If the swallow does not trade one of the pieces in its possession with the shark, then the shark takes over the emperor of the gadwall. Rule2: The frog will not unite with the pigeon if it (the frog) has more money than the poodle. Rule3: There exists an animal which brings an oil tank for the crow? Then the flamingo definitely borrows one of the weapons of the gadwall. Rule4: One of the rules of the game is that if the goose does not shout at the cougar, then the cougar will never shout at the mule. Rule5: Regarding the frog, if it has a basketball that fits in a 31.4 x 30.5 x 29.8 inches box, then we can conclude that it unites with the pigeon. Rule6: Regarding the german shepherd, if it has a notebook that fits in a 13.6 x 11.2 inches box, then we can conclude that it trades one of the pieces in its possession with the cougar. Rule7: This is a basic rule: if the pigeon hides the cards that she has from the dinosaur, then the conclusion that \"the dinosaur will not refuse to help the elk\" follows immediately and effectively. Rule8: The gadwall unquestionably enjoys the company of the beaver, in the case where the elk hugs the gadwall. Rule9: If you see that something invests in the company whose owner is the dove and enjoys the company of the beaver, what can you certainly conclude? You can conclude that it also neglects the mannikin. Rule10: One of the rules of the game is that if the shark takes over the emperor of the gadwall, then the gadwall will never neglect the mannikin. Rule11: From observing that one animal shouts at the mule, one can conclude that it also wants to see the dragon, undoubtedly. Rule12: If the pelikan does not invest in the company owned by the swallow, then the swallow does not trade one of its pieces with the shark. Rule13: The pigeon will disarm the dachshund if it (the pigeon) has a high-quality paper. Rule14: The swallow trades one of its pieces with the shark whenever at least one animal smiles at the bulldog. Rule15: The living creature that does not tear down the castle that belongs to the chihuahua will never disarm the dachshund. Rule16: If the german shepherd is more than two years old, then the german shepherd trades one of its pieces with the cougar. Rule17: From observing that an animal does not negotiate a deal with the crab, one can conclude that it takes over the emperor of the seal. Rule18: The akita unquestionably surrenders to the pelikan, in the case where the snake does not acquire a photo of the akita. Rule19: From observing that an animal smiles at the llama, one can conclude the following: that animal does not take over the emperor of the gadwall. Rule20: Regarding the pigeon, if it has more money than the stork and the dolphin combined, then we can conclude that it disarms the dachshund. Rule21: This is a basic rule: if the dinosaur does not refuse to help the elk, then the conclusion that the elk hugs the gadwall follows immediately and effectively. Rule22: If the snake has something to drink, then the snake does not acquire a photograph of the akita. Rule23: There exists an animal which takes over the emperor of the seal? Then the crab definitely brings an oil tank for the crow. Rule24: The songbird does not negotiate a deal with the crab, in the case where the lizard destroys the wall built by the songbird. Rule25: One of the rules of the game is that if the german shepherd trades one of its pieces with the cougar, then the cougar will, without hesitation, shout at the mule. Rule26: If there is evidence that one animal, no matter which one, negotiates a deal with the cobra, then the akita is not going to surrender to the pelikan. Rule27: In order to conclude that the gadwall invests in the company whose owner is the dove, two pieces of evidence are required: firstly the flamingo should borrow one of the weapons of the gadwall and secondly the monkey should smile at the gadwall. Rule28: One of the rules of the game is that if the frog does not unite with the pigeon, then the pigeon will, without hesitation, hide the cards that she has from the dinosaur. Rule29: This is a basic rule: if the akita surrenders to the pelikan, then the conclusion that \"the pelikan will not invest in the company whose owner is the swallow\" follows immediately and effectively. Rule30: The monkey smiles at the gadwall whenever at least one animal wants to see the dragon. Rule13 is preferred over Rule15. Rule14 is preferred over Rule12. Rule19 is preferred over Rule1. Rule20 is preferred over Rule15. Rule26 is preferred over Rule18. Rule4 is preferred over Rule25. Rule5 is preferred over Rule2. Rule9 is preferred over Rule10. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the gadwall neglect the mannikin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "832d4387c528388de2c059513664b9e026423623508e9149411b8ce0cf9ce1fd",
    "id": "bbeh:boardgame_qa:046",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The fish is named Teddy. The goat has a cutter, and parked her bike in front of the store. The goat is named Mojo. And the rules of the game are as follows. Rule1: Here is an important piece of information about the goat: if it has a device to connect to the internet then it refuses to help the beaver for sure. Rule2: The living creature that does not stop the victory of the lizard will never unite with the starling. Rule3: If you are positive that you saw one of the animals refuses to help the monkey, you can be certain that it will also invest in the company whose owner is the woodpecker. Rule4: If something refuses to help the beaver, then it enjoys the company of the peafowl, too. Rule5: If at least one animal swears to the dalmatian, then the bee does not refuse to help the monkey. Rule6: Regarding the goat, if it has a name whose first letter is the same as the first letter of the fish's name, then we can conclude that it does not refuse to help the beaver. Rule7: If there is evidence that one animal, no matter which one, builds a power plant near the green fields of the german shepherd, then the bee is not going to invest in the company owned by the woodpecker. Rule8: There exists an animal which invests in the company whose owner is the woodpecker? Then the poodle definitely unites with the starling. Rule9: If there is evidence that one animal, no matter which one, enjoys the company of the peafowl, then the beaver swims inside the pool located besides the house of the bee undoubtedly. Rule10: If the goat took a bike from the store, then the goat refuses to help the beaver. Rule11: Here is an important piece of information about the goat: if it has a card whose color starts with the letter \"r\" then it does not refuse to help the beaver for sure. Rule12: If the beaver swims in the pool next to the house of the bee, then the bee refuses to help the monkey. Rule11 is preferred over Rule1. Rule11 is preferred over Rule10. Rule2 is preferred over Rule8. Rule5 is preferred over Rule12. Rule6 is preferred over Rule1. Rule6 is preferred over Rule10. Rule7 is preferred over Rule3. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the poodle unite with the starling? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "0913787e513ecac42836fac7612b9681d234b8138e80604bad0f097037161ea3",
    "id": "bbeh:boardgame_qa:050",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji has 100 dollars. The beetle destroys the wall constructed by the songbird. The crab takes over the emperor of the liger. The liger has 67 dollars. The mannikin stops the victory of the mule. The mule has a card that is blue in color. And the rules of the game are as follows. Rule1: Are you certain that one of the animals hides the cards that she has from the chinchilla and also at the same time unites with the bulldog? Then you can also be certain that the same animal does not want to see the rhino. Rule2: One of the rules of the game is that if the leopard borrows one of the weapons of the goose, then the goose will, without hesitation, suspect the truthfulness of the dalmatian. Rule3: If something does not want to see the rhino, then it acquires a photograph of the goose. Rule4: The liger will not unite with the bulldog if it (the liger) has more money than the basenji. Rule5: If the owl invests in the company owned by the liger, then the liger is not going to acquire a photo of the goose. Rule6: The liger unquestionably unites with the bulldog, in the case where the crab takes over the emperor of the liger. Rule7: In order to conclude that the goose will never suspect the truthfulness of the dalmatian, two pieces of evidence are required: firstly the liger should acquire a photo of the goose and secondly the husky should not fall on a square of the goose. Rule8: From observing that an animal does not suspect the truthfulness of the dalmatian, one can conclude that it destroys the wall built by the woodpecker. Rule9: The husky unquestionably falls on a square that belongs to the goose, in the case where the camel creates one castle for the husky. Rule10: This is a basic rule: if the mule reveals something that is supposed to be a secret to the goat, then the conclusion that \"the goat stops the victory of the pigeon\" follows immediately and effectively. Rule11: If at least one animal destroys the wall built by the songbird, then the liger hides her cards from the chinchilla. Rule12: If at least one animal stops the victory of the pigeon, then the husky does not fall on a square of the goose. Rule13: One of the rules of the game is that if the goose destroys the wall constructed by the woodpecker, then the woodpecker will, without hesitation, disarm the llama. Rule14: This is a basic rule: if the mannikin stops the victory of the mule, then the conclusion that \"the mule disarms the goat\" follows immediately and effectively. Rule2 is preferred over Rule7. Rule5 is preferred over Rule3. Rule6 is preferred over Rule4. Rule9 is preferred over Rule12. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the woodpecker disarm the llama? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "08a14868fe0ebf980c8713447a162635075510eee97560b606ede730fd4426a3",
    "id": "bbeh:boardgame_qa:055",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The butterfly destroys the wall constructed by the finch. The butterfly is a teacher assistant. The dalmatian invests in the company whose owner is the bulldog but does not create one castle for the llama. The dragonfly is named Luna. The dragonfly is a farm worker. The goose has a basketball with a diameter of 19 inches. The otter is named Milo. The seahorse is named Charlie. The worm is named Cinnamon. The german shepherd does not swim in the pool next to the house of the bear. The mule does not acquire a photograph of the cougar, and does not capture the king of the wolf. And the rules of the game are as follows. Rule1: If something smiles at the monkey, then it destroys the wall constructed by the dragonfly, too. Rule2: The butterfly will call the songbird if it (the butterfly) works in education. Rule3: If at least one animal borrows a weapon from the dragon, then the ant enjoys the companionship of the stork. Rule4: The stork does not shout at the starling whenever at least one animal surrenders to the pelikan. Rule5: If there is evidence that one animal, no matter which one, suspects the truthfulness of the swan, then the basenji swims in the pool next to the house of the snake undoubtedly. Rule6: The seahorse will swear to the dove if it (the seahorse) has a name whose first letter is the same as the first letter of the worm's name. Rule7: If the dragonfly invests in the company whose owner is the dugong, then the dugong suspects the truthfulness of the gadwall. Rule8: If something does not swim inside the pool located besides the house of the bear, then it surrenders to the pelikan. Rule9: From observing that an animal destroys the wall constructed by the finch, one can conclude the following: that animal does not call the songbird. Rule10: The stork calls the seahorse whenever at least one animal brings an oil tank for the beetle. Rule11: If something does not capture the king (i.e. the most important piece) of the lizard, then it pays money to the duck. Rule12: Here is an important piece of information about the goose: if it has a basketball that fits in a 28.2 x 27.6 x 20.5 inches box then it stops the victory of the snake for sure. Rule13: If you are positive that one of the animals does not acquire a photo of the cougar, you can be certain that it will destroy the wall constructed by the snake without a doubt. Rule14: The living creature that borrows one of the weapons of the bulldog will never capture the king of the lizard. Rule15: Are you certain that one of the animals swears to the german shepherd and also at the same time swims in the pool next to the house of the snake? Then you can also be certain that the same animal neglects the walrus. Rule16: The flamingo smiles at the monkey whenever at least one animal suspects the truthfulness of the gadwall. Rule17: For the stork, if the belief is that the ant enjoys the companionship of the stork and the duck does not create a castle for the stork, then you can add \"the stork suspects the truthfulness of the swan\" to your conclusions. Rule18: The dragonfly will invest in the company owned by the dugong if it (the dragonfly) works in agriculture. Rule19: Regarding the dragonfly, if it has a name whose first letter is the same as the first letter of the otter's name, then we can conclude that it invests in the company owned by the dugong. Rule20: This is a basic rule: if the goose stops the victory of the snake, then the conclusion that \"the snake borrows a weapon from the dragon\" follows immediately and effectively. Rule21: The living creature that surrenders to the swallow will also create a castle for the stork, without a doubt. Rule22: This is a basic rule: if the dalmatian pays money to the duck, then the conclusion that \"the duck will not create one castle for the stork\" follows immediately and effectively. Rule23: The butterfly brings an oil tank for the beetle whenever at least one animal swears to the dove. Rule24: If at least one animal destroys the wall constructed by the dragonfly, then the basenji swears to the german shepherd. Rule2 is preferred over Rule9. Rule22 is preferred over Rule21. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the basenji neglect the walrus? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "b5b225e7cfe835f689eef3351f37848fea7346ba178cbefe865e01ea586daea3",
    "id": "bbeh:boardgame_qa:056",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear brings an oil tank for the woodpecker, and has a hot chocolate. The dove brings an oil tank for the chihuahua. The dragon has 47 dollars. The elk is two years old. The fish has 50 dollars. The fish has a beer. The flamingo unites with the shark. The goat hugs the flamingo. The poodle has 79 dollars. The poodle is a dentist. The reindeer swims in the pool next to the house of the bison. The rhino has 8 dollars. The seal has 89 dollars. The zebra is 41 days old. The zebra is currently in Brazil. The monkey does not suspect the truthfulness of the lizard. And the rules of the game are as follows. Rule1: If the fish has something to drink, then the fish creates a castle for the snake. Rule2: The fish enjoys the company of the dachshund whenever at least one animal swears to the liger. Rule3: If something unites with the shark, then it does not enjoy the companionship of the finch. Rule4: If the crab negotiates a deal with the elk, then the elk is not going to create a castle for the starling. Rule5: The fish will create one castle for the snake if it (the fish) has more money than the seal. Rule6: If there is evidence that one animal, no matter which one, enjoys the companionship of the husky, then the badger pays some $$$ to the fish undoubtedly. Rule7: The camel unquestionably enjoys the companionship of the husky, in the case where the zebra captures the king of the camel. Rule8: There exists an animal which captures the king of the wolf? Then, the poodle definitely does not unite with the dachshund. Rule9: The living creature that brings an oil tank for the woodpecker will also destroy the wall constructed by the cobra, without a doubt. Rule10: This is a basic rule: if the bison builds a power plant near the green fields of the leopard, then the conclusion that \"the leopard swears to the liger\" follows immediately and effectively. Rule11: One of the rules of the game is that if the monkey does not suspect the truthfulness of the lizard, then the lizard will, without hesitation, want to see the butterfly. Rule12: If something destroys the wall built by the cobra, then it does not pay money to the llama. Rule13: Regarding the poodle, if it works in education, then we can conclude that it unites with the dachshund. Rule14: Here is an important piece of information about the poodle: if it has more money than the dragon and the rhino combined then it unites with the dachshund for sure. Rule15: Regarding the bear, if it has fewer than 9 friends, then we can conclude that it does not destroy the wall built by the cobra. Rule16: If you are positive that one of the animals does not pay money to the llama, you can be certain that it will shout at the german shepherd without a doubt. Rule17: If there is evidence that one animal, no matter which one, brings an oil tank for the chihuahua, then the bison builds a power plant close to the green fields of the leopard undoubtedly. Rule18: If something does not unite with the duck but hides her cards from the worm, then it will not enjoy the company of the dachshund. Rule19: If the german shepherd manages to convince the chinchilla, then the chinchilla acquires a photograph of the stork. Rule20: The badger does not pay some $$$ to the fish, in the case where the fangtooth surrenders to the badger. Rule21: The fish does not unite with the duck whenever at least one animal unites with the dachshund. Rule22: If the elk is less than 5 and a half years old, then the elk creates one castle for the starling. Rule23: The zebra will capture the king of the camel if it (the zebra) is in South America at the moment. Rule24: The flamingo unquestionably enjoys the companionship of the finch, in the case where the goat hugs the flamingo. Rule25: Regarding the bear, if it has a device to connect to the internet, then we can conclude that it does not destroy the wall constructed by the cobra. Rule26: If you are positive that one of the animals does not acquire a photo of the beaver, you can be certain that it will not capture the king of the bulldog. Rule27: The living creature that creates one castle for the snake will also hide her cards from the worm, without a doubt. Rule28: This is a basic rule: if the fish tears down the castle of the german shepherd, then the conclusion that \"the german shepherd will not manage to persuade the chinchilla\" follows immediately and effectively. Rule29: If the bear shouts at the german shepherd, then the german shepherd is not going to tear down the castle of the fish. Rule30: From observing that an animal does not negotiate a deal with the fish, one can conclude that it manages to persuade the chinchilla. Rule31: The vampire captures the king (i.e. the most important piece) of the bulldog whenever at least one animal wants to see the butterfly. Rule32: The zebra will capture the king (i.e. the most important piece) of the camel if it (the zebra) is more than three years old. Rule33: If there is evidence that one animal, no matter which one, captures the king of the bulldog, then the dove takes over the emperor of the fish undoubtedly. Rule34: The living creature that does not enjoy the companionship of the dachshund will tear down the castle of the german shepherd with no doubts. Rule35: If at least one animal enjoys the companionship of the finch, then the bear pays some $$$ to the llama. Rule12 is preferred over Rule35. Rule15 is preferred over Rule9. Rule18 is preferred over Rule2. Rule20 is preferred over Rule6. Rule24 is preferred over Rule3. Rule25 is preferred over Rule9. Rule30 is preferred over Rule28. Rule31 is preferred over Rule26. Rule4 is preferred over Rule22. Rule8 is preferred over Rule13. Rule8 is preferred over Rule14. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the chinchilla acquire a photograph of the stork? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "82fb0aa09cc02cee07b6c533d1bf1a8dfb46aad10c1bfed7a5de203a1c4fe5b2",
    "id": "bbeh:boardgame_qa:057",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver smiles at the rhino. The camel has 13 dollars. The dove has 51 dollars, and has a basketball with a diameter of 30 inches. The dove is three and a half years old. The dragon has 47 dollars. The fish has 82 dollars, and parked her bike in front of the store. The frog has one friend that is bald and two friends that are not. The liger has 29 dollars. The mouse unites with the bee. The owl has 7 dollars. And the rules of the game are as follows. Rule1: There exists an animal which unites with the bee? Then, the frog definitely does not manage to convince the shark. Rule2: Regarding the dove, if it is less than two years old, then we can conclude that it does not enjoy the companionship of the dragonfly. Rule3: The living creature that does not refuse to help the ostrich will hide the cards that she has from the worm with no doubts. Rule4: If the dove has more money than the camel and the liger combined, then the dove does not enjoy the company of the dragonfly. Rule5: From observing that an animal does not build a power plant near the green fields of the starling, one can conclude that it manages to persuade the bear. Rule6: The woodpecker does not destroy the wall built by the seal, in the case where the crab neglects the woodpecker. Rule7: If you are positive that one of the animals does not manage to convince the bear, you can be certain that it will trade one of the pieces in its possession with the butterfly without a doubt. Rule8: The goose dances with the dachshund whenever at least one animal wants to see the mule. Rule9: If the reindeer does not disarm the snake, then the snake captures the king (i.e. the most important piece) of the crab. Rule10: The duck does not manage to convince the bear whenever at least one animal dances with the dachshund. Rule11: The reindeer does not disarm the snake whenever at least one animal smiles at the rhino. Rule12: The fish will want to see the mule if it (the fish) has more money than the dragon and the owl combined. Rule13: For the gorilla, if the belief is that the woodpecker hugs the gorilla and the duck does not reveal something that is supposed to be a secret to the gorilla, then you can add \"the gorilla falls on a square of the stork\" to your conclusions. Rule14: The woodpecker does not hug the gorilla, in the case where the snake swims inside the pool located besides the house of the woodpecker. Rule15: Here is an important piece of information about the frog: if it has fewer than eight friends then it manages to persuade the shark for sure. Rule16: One of the rules of the game is that if the snake does not capture the king (i.e. the most important piece) of the crab, then the crab will, without hesitation, neglect the woodpecker. Rule17: If something captures the king of the vampire, then it does not trade one of the pieces in its possession with the husky. Rule18: The living creature that enjoys the companionship of the dragonfly will also capture the king of the vampire, without a doubt. Rule19: If the dove does not trade one of the pieces in its possession with the husky, then the husky does not refuse to help the ostrich. Rule20: If you are positive that you saw one of the animals trades one of the pieces in its possession with the butterfly, you can be certain that it will not reveal a secret to the gorilla. Rule21: If you see that something hides her cards from the walrus but does not destroy the wall constructed by the seal, what can you certainly conclude? You can conclude that it hugs the gorilla. Rule22: The woodpecker unquestionably hides her cards from the walrus, in the case where the gadwall dances with the woodpecker. Rule23: One of the rules of the game is that if the shark stops the victory of the gadwall, then the gadwall will, without hesitation, dance with the woodpecker. Rule24: The fish will want to see the mule if it (the fish) took a bike from the store. Rule25: The shark unquestionably stops the victory of the gadwall, in the case where the frog does not manage to convince the shark. Rule26: Here is an important piece of information about the dove: if it has a notebook that fits in a 16.9 x 12.9 inches box then it enjoys the company of the dragonfly for sure. Rule1 is preferred over Rule15. Rule10 is preferred over Rule5. Rule21 is preferred over Rule14. Rule26 is preferred over Rule2. Rule26 is preferred over Rule4. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the gorilla fall on a square of the stork? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "913f255ffa74d3c8ffb42d81fb61732d855e3c579766597cf982f5b538ab0591",
    "id": "bbeh:boardgame_qa:065",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has 3 friends that are easy going and 7 friends that are not, has a football with a radius of 21 inches, and is a high school teacher. The ant is currently in Colombia. The bear invests in the company whose owner is the walrus. The cobra has 7 friends that are kind and 2 friends that are not. The monkey has a 10 x 17 inches notebook. The worm stops the victory of the dachshund. The akita does not surrender to the dinosaur. And the rules of the game are as follows. Rule1: The ant will invest in the company owned by the german shepherd if it (the ant) is in Africa at the moment. Rule2: If the dugong does not want to see the husky, then the husky unites with the walrus. Rule3: If something hides her cards from the gadwall, then it does not create one castle for the dragonfly. Rule4: If the ant invests in the company whose owner is the german shepherd, then the german shepherd refuses to help the bulldog. Rule5: If the ant has a football that fits in a 40.7 x 28.4 x 26.5 inches box, then the ant invests in the company owned by the german shepherd. Rule6: The stork unquestionably hides the cards that she has from the gadwall, in the case where the monkey does not suspect the truthfulness of the stork. Rule7: Regarding the monkey, if it has a notebook that fits in a 19.4 x 15.6 inches box, then we can conclude that it does not suspect the truthfulness of the stork. Rule8: The husky will not swear to the dragonfly, in the case where the bulldog does not hide her cards from the husky. Rule9: The dragonfly does not surrender to the leopard, in the case where the stork creates a castle for the dragonfly. Rule10: If the basenji falls on a square that belongs to the dragonfly and the husky does not swear to the dragonfly, then the dragonfly will never shout at the woodpecker. Rule11: The bulldog unquestionably hides her cards from the husky, in the case where the german shepherd refuses to help the bulldog. Rule12: There exists an animal which acquires a photo of the mannikin? Then, the dugong definitely does not want to see the husky. Rule13: The cobra negotiates a deal with the mannikin whenever at least one animal invests in the company owned by the walrus. Rule14: One of the rules of the game is that if the dragonfly shouts at the woodpecker, then the woodpecker will, without hesitation, hide her cards from the starling. Rule15: From observing that one animal hides her cards from the cougar, one can conclude that it also wants to see the husky, undoubtedly. Rule16: One of the rules of the game is that if the dinosaur destroys the wall built by the dolphin, then the dolphin will, without hesitation, borrow one of the weapons of the llama. Rule17: The dinosaur unquestionably destroys the wall constructed by the dolphin, in the case where the akita does not reveal something that is supposed to be a secret to the dinosaur. Rule18: From observing that an animal does not surrender to the leopard, one can conclude that it shouts at the woodpecker. Rule19: Are you certain that one of the animals unites with the walrus and also at the same time unites with the crab? Then you can also be certain that the same animal swears to the dragonfly. Rule10 is preferred over Rule18. Rule15 is preferred over Rule12. Rule19 is preferred over Rule8. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the woodpecker hide the cards that she has from the starling? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "0286efec960515f819b5b4655126b705635a2763ee3468b4935b78c5976baff5",
    "id": "bbeh:boardgame_qa:067",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger has two friends that are lazy and 3 friends that are not. The badger invented a time machine. The german shepherd has 3 dollars. The worm has 100 dollars, stops the victory of the mermaid, and trades one of its pieces with the seahorse. The ant does not fall on a square of the woodpecker. And the rules of the game are as follows. Rule1: This is a basic rule: if the swan hugs the dolphin, then the conclusion that \"the dolphin manages to convince the poodle\" follows immediately and effectively. Rule2: The living creature that hides the cards that she has from the mouse will also hug the ant, without a doubt. Rule3: One of the rules of the game is that if the dragon smiles at the ant, then the ant will never acquire a photo of the worm. Rule4: There exists an animal which hugs the ant? Then the akita definitely unites with the crow. Rule5: Are you certain that one of the animals trades one of the pieces in its possession with the seahorse and also at the same time stops the victory of the mermaid? Then you can also be certain that the same animal does not fall on a square that belongs to the dugong. Rule6: Here is an important piece of information about the worm: if it has more money than the swallow and the german shepherd combined then it falls on a square of the dugong for sure. Rule7: There exists an animal which stops the victory of the songbird? Then the badger definitely disarms the swan. Rule8: The living creature that does not fall on a square that belongs to the woodpecker will acquire a photograph of the worm with no doubts. Rule9: The worm unquestionably captures the king (i.e. the most important piece) of the bison, in the case where the ant acquires a photograph of the worm. Rule10: If at least one animal captures the king of the bison, then the poodle destroys the wall built by the ant. Rule11: Here is an important piece of information about the badger: if it purchased a time machine then it does not disarm the swan for sure. Rule12: From observing that an animal does not destroy the wall built by the ant, one can conclude that it hides her cards from the mouse. Rule13: If the seal does not trade one of the pieces in its possession with the dolphin, then the dolphin does not manage to convince the poodle. Rule14: One of the rules of the game is that if the badger does not disarm the swan, then the swan will, without hesitation, hug the dolphin. Rule15: The badger will not disarm the swan if it (the badger) has fewer than 9 friends. Rule11 is preferred over Rule7. Rule13 is preferred over Rule1. Rule15 is preferred over Rule7. Rule3 is preferred over Rule8. Rule6 is preferred over Rule5. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the akita unite with the crow? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "ccb91186f067b5d9dcbd6a0c3ad6cb54a8597482d46ea6af0cb594f7736ae419",
    "id": "bbeh:boardgame_qa:068",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The cobra has 40 dollars. The dalmatian invests in the company whose owner is the goat. The duck is named Bella. The dugong falls on a square of the dragonfly. The goat dreamed of a luxury aircraft. The goat is named Tessa. The monkey assassinated the mayor, and has 85 dollars. The monkey is named Buddy, and is a marketing manager. The otter is named Tarzan. The seahorse has a piano. The seal leaves the houses occupied by the poodle. The vampire has some arugula, and is named Tessa. The vampire is 10 and a half months old. The walrus has 75 dollars. The wolf assassinated the mayor. The wolf has a card that is green in color. The zebra disarms the basenji. The flamingo does not destroy the wall constructed by the seahorse. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, hugs the wolf, then the ant is not going to bring an oil tank for the snake. Rule2: One of the rules of the game is that if the shark brings an oil tank for the frog, then the frog will never disarm the snake. Rule3: Regarding the wolf, if it killed the mayor, then we can conclude that it destroys the wall constructed by the crab. Rule4: From observing that an animal shouts at the dachshund, one can conclude the following: that animal does not disarm the coyote. Rule5: From observing that one animal swears to the fish, one can conclude that it also falls on a square of the zebra, undoubtedly. Rule6: Regarding the vampire, if it has a leafy green vegetable, then we can conclude that it dances with the rhino. Rule7: From observing that an animal pays some $$$ to the dragon, one can conclude the following: that animal does not surrender to the ant. Rule8: For the shark, if you have two pieces of evidence 1) the basenji does not fall on a square of the shark and 2) the seahorse smiles at the shark, then you can add \"shark brings an oil tank for the frog\" to your conclusions. Rule9: The monkey will tear down the castle of the cougar if it (the monkey) killed the mayor. Rule10: This is a basic rule: if the frog does not disarm the snake, then the conclusion that the snake swears to the fish follows immediately and effectively. Rule11: The basenji does not fall on a square of the shark, in the case where the zebra disarms the basenji. Rule12: Here is an important piece of information about the vampire: if it is more than 4 years old then it dances with the rhino for sure. Rule13: If at least one animal falls on a square of the dragonfly, then the wolf surrenders to the dolphin. Rule14: Here is an important piece of information about the wolf: if it has a card whose color appears in the flag of Japan then it destroys the wall constructed by the crab for sure. Rule15: The living creature that does not bring an oil tank for the beaver will surrender to the ant with no doubts. Rule16: If there is evidence that one animal, no matter which one, dances with the rhino, then the wolf pays money to the dragon undoubtedly. Rule17: The ant unquestionably brings an oil tank for the snake, in the case where the wolf surrenders to the ant. Rule18: From observing that an animal surrenders to the dolphin, one can conclude the following: that animal does not bring an oil tank for the beaver. Rule19: Regarding the monkey, if it has more money than the walrus and the cobra combined, then we can conclude that it tears down the castle that belongs to the cougar. Rule20: If the goat owns a luxury aircraft, then the goat does not shout at the dachshund. Rule21: The snake unquestionably disarms the chinchilla, in the case where the ant does not bring an oil tank for the snake. Rule22: Regarding the goat, if it has a name whose first letter is the same as the first letter of the woodpecker's name, then we can conclude that it does not shout at the dachshund. Rule23: If the goat does not disarm the coyote, then the coyote hugs the wolf. Rule24: The living creature that destroys the wall constructed by the crab will also bring an oil tank for the beaver, without a doubt. Rule25: The monkey will not tear down the castle that belongs to the cougar if it (the monkey) works in computer science and engineering. Rule26: One of the rules of the game is that if the dalmatian invests in the company whose owner is the goat, then the goat will, without hesitation, shout at the dachshund. Rule27: Are you certain that one of the animals disarms the chinchilla and also at the same time falls on a square of the zebra? Then you can also be certain that the same animal takes over the emperor of the owl. Rule28: If the flamingo does not destroy the wall constructed by the seahorse, then the seahorse smiles at the shark. Rule29: If there is evidence that one animal, no matter which one, leaves the houses occupied by the poodle, then the goat manages to convince the worm undoubtedly. Rule15 is preferred over Rule7. Rule17 is preferred over Rule1. Rule18 is preferred over Rule24. Rule19 is preferred over Rule25. Rule20 is preferred over Rule26. Rule22 is preferred over Rule26. Rule9 is preferred over Rule25. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the snake take over the emperor of the owl? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "3a4e0584e0fa2b60576ab2ab2abea94a170f472bb7df2671e1115e8f85efb0ca",
    "id": "bbeh:boardgame_qa:071",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The cobra has 26 dollars. The dalmatian acquires a photograph of the dove. The finch is named Cinnamon. The gadwall has 56 dollars, and has a card that is blue in color. The goose acquires a photograph of the liger. The liger is named Milo. The mouse is named Meadow. The swan destroys the wall constructed by the bison. The zebra has 9 friends, and is named Chickpea. And the rules of the game are as follows. Rule1: If at least one animal reveals something that is supposed to be a secret to the beaver, then the beetle smiles at the bear. Rule2: If you see that something refuses to help the mouse and borrows a weapon from the chinchilla, what can you certainly conclude? You can conclude that it does not hide her cards from the cougar. Rule3: If you are positive that you saw one of the animals enjoys the companionship of the elk, you can be certain that it will also borrow a weapon from the chinchilla. Rule4: One of the rules of the game is that if the dalmatian acquires a photo of the dove, then the dove will, without hesitation, suspect the truthfulness of the poodle. Rule5: If at least one animal destroys the wall constructed by the bison, then the rhino tears down the castle that belongs to the stork. Rule6: The bear enjoys the company of the elk whenever at least one animal suspects the truthfulness of the poodle. Rule7: Here is an important piece of information about the zebra: if it has a name whose first letter is the same as the first letter of the finch's name then it trades one of the pieces in its possession with the husky for sure. Rule8: If there is evidence that one animal, no matter which one, pays money to the crab, then the german shepherd is not going to neglect the bear. Rule9: From observing that one animal manages to persuade the mouse, one can conclude that it also hides her cards from the cougar, undoubtedly. Rule10: The chihuahua suspects the truthfulness of the ant whenever at least one animal hides the cards that she has from the cougar. Rule11: Regarding the gadwall, if it has more money than the cobra, then we can conclude that it reveals a secret to the beaver. Rule12: The zebra will trade one of its pieces with the husky if it (the zebra) has more than 16 friends. Rule13: If you are positive that you saw one of the animals trades one of the pieces in its possession with the husky, you can be certain that it will also call the mermaid. Rule14: This is a basic rule: if the goose acquires a photo of the liger, then the conclusion that \"the liger pays money to the crab\" follows immediately and effectively. Rule15: The zebra does not call the mermaid whenever at least one animal tears down the castle that belongs to the stork. Rule16: From observing that an animal swears to the llama, one can conclude the following: that animal does not swim in the pool next to the house of the otter. Rule17: If there is evidence that one animal, no matter which one, suspects the truthfulness of the ant, then the badger swears to the llama undoubtedly. Rule18: For the bear, if the belief is that the beetle smiles at the bear and the german shepherd does not neglect the bear, then you can add \"the bear manages to persuade the mouse\" to your conclusions. Rule19: If something swims inside the pool located besides the house of the monkey, then it does not swear to the llama. Rule13 is preferred over Rule15. Rule19 is preferred over Rule17. Rule2 is preferred over Rule9. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the badger swim in the pool next to the house of the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "2624cb336544f016bee380d2e5b2a09416a0795e7a1394f3b9c12d19f2ca147f",
    "id": "bbeh:boardgame_qa:082",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bison was born 22 weeks ago. The chihuahua has a cell phone, and has a piano. The chihuahua has one friend. The cougar is named Casper. The crow has a computer. The dalmatian is a teacher assistant. The elk has a harmonica. The elk is a public relations specialist. The leopard pays money to the dolphin. The llama leaves the houses occupied by the pelikan. The mannikin has 1 friend that is adventurous and four friends that are not. The mannikin has a card that is yellow in color. The mouse struggles to find food. The owl unites with the beaver. The poodle is named Charlie. The reindeer hugs the dove. The reindeer recently read a high-quality paper. The reindeer will turn fourteen months old in a few minutes. The stork surrenders to the cobra. The vampire brings an oil tank for the seahorse. And the rules of the game are as follows. Rule1: If something leaves the houses occupied by the dragonfly, then it trades one of the pieces in its possession with the husky, too. Rule2: If the bison is less than 24 and a half months old, then the bison leaves the houses occupied by the dragonfly. Rule3: If the goat unites with the bulldog, then the bulldog trades one of the pieces in its possession with the walrus. Rule4: Regarding the chihuahua, if it has something to drink, then we can conclude that it refuses to help the rhino. Rule5: If at least one animal borrows one of the weapons of the mule, then the wolf suspects the truthfulness of the liger. Rule6: If there is evidence that one animal, no matter which one, tears down the castle that belongs to the zebra, then the liger dances with the peafowl undoubtedly. Rule7: If you are positive that you saw one of the animals hugs the woodpecker, you can be certain that it will also create one castle for the monkey. Rule8: There exists an animal which refuses to help the gorilla? Then, the bee definitely does not hide the cards that she has from the crab. Rule9: This is a basic rule: if the woodpecker suspects the truthfulness of the stork, then the conclusion that \"the stork will not hug the woodpecker\" follows immediately and effectively. Rule10: One of the rules of the game is that if the llama leaves the houses occupied by the pelikan, then the pelikan will, without hesitation, leave the houses that are occupied by the dachshund. Rule11: The bear does not shout at the bee whenever at least one animal hides her cards from the swan. Rule12: The living creature that borrows a weapon from the duck will also enjoy the companionship of the liger, without a doubt. Rule13: The living creature that surrenders to the cobra will also hug the woodpecker, without a doubt. Rule14: The dachshund unquestionably wants to see the llama, in the case where the pelikan leaves the houses occupied by the dachshund. Rule15: This is a basic rule: if the reindeer trades one of its pieces with the songbird, then the conclusion that \"the songbird hugs the mannikin\" follows immediately and effectively. Rule16: The bee destroys the wall constructed by the dragon whenever at least one animal wants to see the ant. Rule17: The bee will not swim in the pool next to the house of the bulldog, in the case where the bear does not shout at the bee. Rule18: The fangtooth wants to see the ant whenever at least one animal brings an oil tank for the seahorse. Rule19: From observing that an animal creates one castle for the lizard, one can conclude the following: that animal does not disarm the seal. Rule20: The living creature that neglects the mermaid will never swear to the gadwall. Rule21: The living creature that destroys the wall constructed by the dragon will also invest in the company whose owner is the liger, without a doubt. Rule22: If something wants to see the llama, then it hides her cards from the swan, too. Rule23: The bee reveals a secret to the coyote whenever at least one animal dances with the frog. Rule24: If there is evidence that one animal, no matter which one, trades one of its pieces with the seal, then the liger invests in the company owned by the german shepherd undoubtedly. Rule25: If there is evidence that one animal, no matter which one, unites with the beaver, then the ostrich destroys the wall built by the worm undoubtedly. Rule26: The living creature that surrenders to the starling will also neglect the mermaid, without a doubt. Rule27: The dalmatian will destroy the wall constructed by the liger if it (the dalmatian) works in education. Rule28: If the dalmatian destroys the wall built by the liger, then the liger is not going to dance with the peafowl. Rule29: If you are positive that one of the animals does not manage to convince the basenji, you can be certain that it will not destroy the wall constructed by the dragon. Rule30: If the poodle has a card whose color appears in the flag of France, then the poodle does not invest in the company whose owner is the cougar. Rule31: The living creature that hugs the dove will also trade one of its pieces with the songbird, without a doubt. Rule32: If at least one animal stops the victory of the goose, then the crow enjoys the companionship of the dinosaur. Rule33: If something does not disarm the mannikin, then it does not call the swallow. Rule34: Regarding the mannikin, if it has more than four friends, then we can conclude that it surrenders to the finch. Rule35: Regarding the elk, if it has a leafy green vegetable, then we can conclude that it takes over the emperor of the camel. Rule36: If something reveals a secret to the coyote, then it hides her cards from the crab, too. Rule37: Here is an important piece of information about the mannikin: if it has a card with a primary color then it does not surrender to the finch for sure. Rule38: Regarding the poodle, if it has a name whose first letter is the same as the first letter of the cougar's name, then we can conclude that it invests in the company owned by the cougar. Rule39: From observing that an animal smiles at the beetle, one can conclude the following: that animal does not borrow a weapon from the duck. Rule40: Regarding the chihuahua, if it has a notebook that fits in a 20.1 x 16.4 inches box, then we can conclude that it refuses to help the rhino. Rule41: From observing that one animal takes over the emperor of the camel, one can conclude that it also borrows one of the weapons of the mule, undoubtedly. Rule42: If something does not invest in the company owned by the german shepherd but disarms the seal, then it surrenders to the starling. Rule43: If the bee invests in the company owned by the liger, then the liger disarms the seal. Rule44: If something creates one castle for the monkey, then it does not capture the king (i.e. the most important piece) of the shark. Rule45: If you are positive that you saw one of the animals hides her cards from the crab, you can be certain that it will also surrender to the chinchilla. Rule46: If at least one animal pays money to the dolphin, then the mouse borrows a weapon from the cougar. Rule47: If you are positive that you saw one of the animals destroys the wall constructed by the worm, you can be certain that it will also dance with the frog. Rule48: One of the rules of the game is that if the crow pays money to the goat, then the goat will, without hesitation, unite with the bulldog. Rule49: The living creature that trades one of the pieces in its possession with the husky will also hide her cards from the flamingo, without a doubt. Rule50: The seahorse borrows a weapon from the duck whenever at least one animal brings an oil tank for the fish. Rule51: From observing that an animal does not refuse to help the rhino, one can conclude that it disarms the dachshund. Rule52: This is a basic rule: if the wolf suspects the truthfulness of the liger, then the conclusion that \"the liger will not invest in the company whose owner is the german shepherd\" follows immediately and effectively. Rule53: If the chihuahua has a device to connect to the internet, then the chihuahua does not refuse to help the rhino. Rule54: This is a basic rule: if the badger does not capture the king (i.e. the most important piece) of the elk, then the conclusion that the elk will not take over the emperor of the camel follows immediately and effectively. Rule55: If something does not dance with the pigeon, then it does not create one castle for the monkey. Rule56: Here is an important piece of information about the mannikin: if it owns a luxury aircraft then it does not surrender to the finch for sure. Rule57: If there is evidence that one animal, no matter which one, hides the cards that she has from the flamingo, then the stork brings an oil tank for the fish undoubtedly. Rule58: Regarding the elk, if it works in marketing, then we can conclude that it takes over the emperor of the camel. Rule59: Here is an important piece of information about the chihuahua: if it has more than ten friends then it does not refuse to help the rhino for sure. Rule60: There exists an animal which trades one of the pieces in its possession with the walrus? Then the crow definitely negotiates a deal with the bee. Rule61: If there is evidence that one animal, no matter which one, invests in the company owned by the cougar, then the mouse stops the victory of the goose undoubtedly. Rule62: Regarding the crow, if it has a device to connect to the internet, then we can conclude that it pays some $$$ to the goat. Rule63: If something borrows a weapon from the cougar, then it does not stop the victory of the goose. Rule64: If something surrenders to the chinchilla, then it calls the liger, too. Rule65: If there is evidence that one animal, no matter which one, hugs the mannikin, then the liger is not going to disarm the mannikin. Rule66: The bee does not invest in the company whose owner is the liger whenever at least one animal reveals a secret to the otter. Rule19 is preferred over Rule43. Rule24 is preferred over Rule52. Rule29 is preferred over Rule16. Rule30 is preferred over Rule38. Rule37 is preferred over Rule34. Rule39 is preferred over Rule50. Rule4 is preferred over Rule53. Rule4 is preferred over Rule59. Rule40 is preferred over Rule53. Rule40 is preferred over Rule59. Rule54 is preferred over Rule35. Rule54 is preferred over Rule58. Rule55 is preferred over Rule7. Rule56 is preferred over Rule34. Rule6 is preferred over Rule28. Rule61 is preferred over Rule63. Rule66 is preferred over Rule21. Rule8 is preferred over Rule36. Rule9 is preferred over Rule13. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the liger swear to the gadwall? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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  {
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    "id": "bbeh:boardgame_qa:087",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog has a card that is blue in color, is watching a movie from 1769, and does not bring an oil tank for the songbird. The chihuahua hides the cards that she has from the mule. The cougar will turn 15 months old in a few minutes. The dachshund neglects the mermaid. The dragonfly has one friend that is mean and one friend that is not. The dragonfly is a sales manager. The gorilla has 14 friends, and has a cell phone. The gorilla is watching a movie from 2012, and supports Chris Ronaldo. The gorilla swears to the ant. The stork invented a time machine. The swan stole a bike from the store. The bee does not trade one of its pieces with the husky. The dinosaur does not borrow one of the weapons of the pigeon. The dolphin does not create one castle for the beetle. The woodpecker does not fall on a square of the pelikan. The zebra does not reveal a secret to the duck. And the rules of the game are as follows. Rule1: The goat does not enjoy the company of the worm, in the case where the bulldog disarms the goat. Rule2: The dragonfly will not call the swallow if it (the dragonfly) works in healthcare. Rule3: The living creature that swears to the ant will never acquire a photo of the bison. Rule4: If the dragonfly has fewer than three friends, then the dragonfly does not call the swallow. Rule5: If there is evidence that one animal, no matter which one, borrows one of the weapons of the owl, then the butterfly stops the victory of the dragonfly undoubtedly. Rule6: If you are positive that you saw one of the animals neglects the mermaid, you can be certain that it will also smile at the mouse. Rule7: There exists an animal which wants to see the monkey? Then the dove definitely brings an oil tank for the chinchilla. Rule8: One of the rules of the game is that if the woodpecker does not fall on a square of the pelikan, then the pelikan will, without hesitation, refuse to help the vampire. Rule9: The living creature that does not borrow a weapon from the pigeon will swear to the zebra with no doubts. Rule10: One of the rules of the game is that if the poodle refuses to help the dachshund, then the dachshund will never smile at the mouse. Rule11: The fish borrows one of the weapons of the lizard whenever at least one animal smiles at the shark. Rule12: The butterfly surrenders to the poodle whenever at least one animal hides her cards from the cobra. Rule13: Here is an important piece of information about the gorilla: if it has something to drink then it unites with the dragon for sure. Rule14: If something dances with the otter, then it does not suspect the truthfulness of the camel. Rule15: Here is an important piece of information about the stork: if it created a time machine then it does not suspect the truthfulness of the crow for sure. Rule16: Regarding the swan, if it took a bike from the store, then we can conclude that it calls the elk. Rule17: If the fish borrows one of the weapons of the lizard, then the lizard is not going to dance with the otter. Rule18: The butterfly unquestionably captures the king of the peafowl, in the case where the lizard does not hug the butterfly. Rule19: The living creature that brings an oil tank for the chinchilla will also build a power plant near the green fields of the crab, without a doubt. Rule20: One of the rules of the game is that if the mouse captures the king of the worm, then the worm will never create a castle for the lizard. Rule21: If the bulldog is watching a movie that was released after the French revolution began, then the bulldog disarms the goat. Rule22: If you are positive that one of the animals does not call the swallow, you can be certain that it will hide the cards that she has from the mannikin without a doubt. Rule23: Regarding the gorilla, if it is watching a movie that was released after Facebook was founded, then we can conclude that it acquires a photograph of the bison. Rule24: If you are positive that you saw one of the animals unites with the fangtooth, you can be certain that it will also enjoy the companionship of the starling. Rule25: Here is an important piece of information about the cougar: if it is less than two and a half years old then it smiles at the shark for sure. Rule26: The starling unquestionably hides the cards that she has from the flamingo, in the case where the elk enjoys the companionship of the starling. Rule27: For the starling, if the belief is that the gorilla trades one of the pieces in its possession with the starling and the dugong captures the king (i.e. the most important piece) of the starling, then you can add \"the starling refuses to help the gorilla\" to your conclusions. Rule28: The living creature that unites with the dragon will never trade one of the pieces in its possession with the starling. Rule29: If you are positive that you saw one of the animals brings an oil tank for the walrus, you can be certain that it will also hide the cards that she has from the cobra. Rule30: If you are positive that one of the animals does not create one castle for the beetle, you can be certain that it will want to see the monkey without a doubt. Rule31: One of the rules of the game is that if the swan calls the elk, then the elk will, without hesitation, unite with the fangtooth. Rule32: If at least one animal builds a power plant near the green fields of the llama, then the lizard swears to the butterfly. Rule33: This is a basic rule: if the dachshund smiles at the mouse, then the conclusion that \"the mouse captures the king (i.e. the most important piece) of the worm\" follows immediately and effectively. Rule34: Are you certain that one of the animals hides the cards that she has from the flamingo and also at the same time creates one castle for the dalmatian? Then you can also be certain that the same animal does not leave the houses that are occupied by the basenji. Rule35: If there is evidence that one animal, no matter which one, hides her cards from the mannikin, then the bear borrows one of the weapons of the owl undoubtedly. Rule36: If the bee does not trade one of its pieces with the husky, then the husky builds a power plant near the green fields of the llama. Rule37: Here is an important piece of information about the bulldog: if it has a card whose color is one of the rainbow colors then it disarms the goat for sure. Rule38: From observing that one animal acquires a photograph of the bison, one can conclude that it also trades one of its pieces with the starling, undoubtedly. Rule39: From observing that an animal does not create a castle for the liger, one can conclude that it brings an oil tank for the walrus. Rule40: This is a basic rule: if the starling tears down the castle that belongs to the wolf, then the conclusion that \"the wolf will not pay some $$$ to the snake\" follows immediately and effectively. Rule41: The stork smiles at the vampire whenever at least one animal refuses to help the vampire. Rule42: If you are positive that one of the animals does not reveal something that is supposed to be a secret to the duck, you can be certain that it will not suspect the truthfulness of the reindeer. Rule43: If you are positive that you saw one of the animals swears to the butterfly, you can be certain that it will also dance with the otter. Rule44: The gorilla will unite with the dragon if it (the gorilla) is a fan of Chris Ronaldo. Rule45: If something does not neglect the beaver, then it acquires a photograph of the seal. Rule46: This is a basic rule: if the zebra does not hide her cards from the starling, then the conclusion that the starling will not refuse to help the gorilla follows immediately and effectively. Rule47: If at least one animal takes over the emperor of the leopard, then the stork creates a castle for the liger. Rule48: The living creature that does not suspect the truthfulness of the crow will never create one castle for the liger. Rule49: If the fish does not negotiate a deal with the husky, then the husky does not build a power plant near the green fields of the llama. Rule50: One of the rules of the game is that if the german shepherd creates one castle for the rhino, then the rhino will never enjoy the companionship of the frog. Rule51: From observing that an animal does not leave the houses that are occupied by the basenji, one can conclude that it tears down the castle that belongs to the wolf. Rule52: If you are positive that you saw one of the animals smiles at the vampire, you can be certain that it will not acquire a photo of the seal. Rule53: If you are positive that one of the animals does not suspect the truthfulness of the reindeer, you can be certain that it will not hide the cards that she has from the starling. Rule54: If something does not suspect the truthfulness of the camel, then it does not hug the butterfly. Rule55: If you are positive that one of the animals does not refuse to help the gorilla, you can be certain that it will create a castle for the dalmatian without a doubt. Rule56: The living creature that negotiates a deal with the flamingo will never hide her cards from the flamingo. Rule57: There exists an animal which brings an oil tank for the seahorse? Then the goat definitely enjoys the company of the worm. Rule58: If at least one animal builds a power plant close to the green fields of the crab, then the rhino enjoys the companionship of the frog. Rule59: If the gadwall hugs the fish, then the fish is not going to borrow one of the weapons of the lizard. Rule10 is preferred over Rule6. Rule23 is preferred over Rule3. Rule27 is preferred over Rule46. Rule38 is preferred over Rule28. Rule43 is preferred over Rule17. Rule45 is preferred over Rule52. Rule47 is preferred over Rule48. Rule49 is preferred over Rule36. Rule50 is preferred over Rule58. Rule56 is preferred over Rule26. Rule57 is preferred over Rule1. Rule59 is preferred over Rule11. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the wolf pay money to the snake? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "b28ddab90c0e454b652e02d90e713018e871332a097ffc2a9570fa29722271ba",
    "id": "bbeh:boardgame_qa:088",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear trades one of its pieces with the liger. The camel disarms the chihuahua. The dolphin is watching a movie from 1978. The flamingo hides the cards that she has from the elk, is a farm worker, and is three years old. The goose calls the basenji. The goat does not call the shark. And the rules of the game are as follows. Rule1: The living creature that brings an oil tank for the chinchilla will also capture the king (i.e. the most important piece) of the bison, without a doubt. Rule2: The goat unquestionably reveals something that is supposed to be a secret to the wolf, in the case where the dachshund neglects the goat. Rule3: If the dolphin is watching a movie that was released before the Berlin wall fell, then the dolphin refuses to help the dugong. Rule4: If at least one animal negotiates a deal with the frog, then the crow does not fall on a square that belongs to the vampire. Rule5: The crab pays some $$$ to the stork whenever at least one animal brings an oil tank for the stork. Rule6: If the flamingo is less than ten months old, then the flamingo reveals a secret to the finch. Rule7: From observing that an animal does not call the shark, one can conclude the following: that animal will not disarm the dachshund. Rule8: If the flamingo does not reveal something that is supposed to be a secret to the finch, then the finch smiles at the pigeon. Rule9: Are you certain that one of the animals does not surrender to the bulldog but it does capture the king (i.e. the most important piece) of the bison? Then you can also be certain that this animal falls on a square that belongs to the vampire. Rule10: If something falls on a square that belongs to the vampire, then it unites with the seal, too. Rule11: From observing that an animal does not invest in the company owned by the woodpecker, one can conclude the following: that animal will not refuse to help the dugong. Rule12: There exists an animal which trades one of its pieces with the liger? Then, the crow definitely does not leave the houses occupied by the german shepherd. Rule13: There exists an animal which suspects the truthfulness of the mermaid? Then, the gadwall definitely does not swear to the gorilla. Rule14: The cobra does not trade one of its pieces with the otter whenever at least one animal reveals something that is supposed to be a secret to the dalmatian. Rule15: If something acquires a photograph of the peafowl, then it trades one of its pieces with the otter, too. Rule16: If something trades one of the pieces in its possession with the otter, then it suspects the truthfulness of the gadwall, too. Rule17: The living creature that hides the cards that she has from the elk will never reveal something that is supposed to be a secret to the finch. Rule18: The gorilla unquestionably calls the seal, in the case where the gadwall does not swear to the gorilla. Rule19: In order to conclude that the seal smiles at the finch, two pieces of evidence are required: firstly the crow should unite with the seal and secondly the gorilla should call the seal. Rule20: If at least one animal refuses to help the dugong, then the crow brings an oil tank for the chinchilla. Rule21: If something does not leave the houses that are occupied by the german shepherd, then it destroys the wall built by the fish. Rule22: If something disarms the chihuahua, then it calls the leopard, too. Rule23: One of the rules of the game is that if the wolf unites with the badger, then the badger will, without hesitation, bring an oil tank for the stork. Rule24: If there is evidence that one animal, no matter which one, swears to the snake, then the crow is not going to destroy the wall constructed by the fish. Rule25: The living creature that destroys the wall constructed by the fish will never surrender to the bulldog. Rule26: If at least one animal smiles at the finch, then the crab does not leave the houses that are occupied by the swallow. Rule27: The gorilla does not call the seal, in the case where the flamingo destroys the wall built by the gorilla. Rule28: One of the rules of the game is that if the goat does not disarm the dachshund, then the dachshund will, without hesitation, neglect the goat. Rule29: There exists an animal which calls the basenji? Then the cobra definitely acquires a photo of the peafowl. Rule30: This is a basic rule: if the songbird does not build a power plant near the green fields of the wolf, then the conclusion that the wolf will not unite with the badger follows immediately and effectively. Rule31: This is a basic rule: if the goat reveals a secret to the wolf, then the conclusion that \"the wolf unites with the badger\" follows immediately and effectively. Rule32: If there is evidence that one animal, no matter which one, smiles at the pigeon, then the seahorse suspects the truthfulness of the mermaid undoubtedly. Rule11 is preferred over Rule3. Rule14 is preferred over Rule15. Rule17 is preferred over Rule6. Rule24 is preferred over Rule21. Rule27 is preferred over Rule18. Rule30 is preferred over Rule31. Rule4 is preferred over Rule9. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the crab leave the houses occupied by the swallow? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "3fc2f659fe87eccaf18ab50c95c018ad806ddd3a37523907a078ca5e76b376c2",
    "id": "bbeh:boardgame_qa:094",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver has 20 friends, and has 58 dollars. The dragon has 45 dollars. The goose has 57 dollars. The poodle borrows one of the weapons of the starling. And the rules of the game are as follows. Rule1: If at least one animal enjoys the companionship of the badger, then the shark borrows a weapon from the dragon. Rule2: If you are positive that you saw one of the animals swears to the gadwall, you can be certain that it will not manage to persuade the peafowl. Rule3: If something wants to see the pigeon, then it borrows one of the weapons of the bulldog, too. Rule4: If at least one animal borrows one of the weapons of the dragon, then the songbird manages to convince the peafowl. Rule5: For the rhino, if you have two pieces of evidence 1) the beaver reveals a secret to the rhino and 2) the butterfly builds a power plant close to the green fields of the rhino, then you can add \"rhino enjoys the company of the badger\" to your conclusions. Rule6: If the pigeon wants to see the dugong, then the dugong wants to see the pigeon. Rule7: From observing that an animal does not enjoy the companionship of the badger, one can conclude the following: that animal will not borrow a weapon from the dragon. Rule8: If you are positive that one of the animals does not neglect the gorilla, you can be certain that it will not want to see the dugong. Rule9: The butterfly will not build a power plant near the green fields of the rhino, in the case where the lizard does not leave the houses occupied by the butterfly. Rule10: The rhino does not enjoy the company of the badger, in the case where the stork hugs the rhino. Rule11: If at least one animal manages to persuade the peafowl, then the pigeon wants to see the dugong. Rule12: Here is an important piece of information about the beaver: if it has more money than the dragon and the goose combined then it reveals a secret to the rhino for sure. Rule13: If at least one animal borrows one of the weapons of the starling, then the butterfly builds a power plant close to the green fields of the rhino. Rule14: If the beaver has more than 10 friends, then the beaver reveals something that is supposed to be a secret to the rhino. Rule10 is preferred over Rule5. Rule2 is preferred over Rule4. Rule7 is preferred over Rule1. Rule8 is preferred over Rule11. Rule9 is preferred over Rule13. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the dugong borrow one of the weapons of the bulldog? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
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  {
    "dataset": "bbeh",
    "family": "43159e1c1012c2287b3e623a1c5ac661f9749520039f0c8c9564fbf94d689ba4",
    "id": "bbeh:boardgame_qa:102",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The camel wants to see the monkey. The duck has 60 dollars. The fangtooth tears down the castle that belongs to the worm. The finch is currently in Cape Town. The finch parked her bike in front of the store. The frog dreamed of a luxury aircraft, and has 5 friends that are smart and two friends that are not. The frog has a football with a radius of 29 inches. The frog is watching a movie from 1981. The lizard dreamed of a luxury aircraft, and is named Meadow. The lizard has 26 dollars. The mannikin is named Mojo. The shark calls the dolphin. The starling is named Mojo. The vampire is named Max. And the rules of the game are as follows. Rule1: Here is an important piece of information about the mannikin: if it has a name whose first letter is the same as the first letter of the vampire's name then it does not call the chihuahua for sure. Rule2: This is a basic rule: if the shark creates a castle for the bee, then the conclusion that \"the bee tears down the castle that belongs to the bulldog\" follows immediately and effectively. Rule3: If the worm does not smile at the bison but the finch unites with the bison, then the bison builds a power plant close to the green fields of the ant unavoidably. Rule4: This is a basic rule: if the fangtooth tears down the castle that belongs to the worm, then the conclusion that \"the worm will not smile at the bison\" follows immediately and effectively. Rule5: If there is evidence that one animal, no matter which one, acquires a photo of the seahorse, then the lizard tears down the castle of the frog undoubtedly. Rule6: The lizard will pay money to the chinchilla if it (the lizard) has a name whose first letter is the same as the first letter of the starling's name. Rule7: If there is evidence that one animal, no matter which one, smiles at the pigeon, then the owl negotiates a deal with the mermaid undoubtedly. Rule8: Regarding the lizard, if it has more money than the duck, then we can conclude that it pays some $$$ to the chinchilla. Rule9: The living creature that calls the mule will also fall on a square of the beaver, without a doubt. Rule10: If the lizard owns a luxury aircraft, then the lizard does not pay money to the chinchilla. Rule11: The bee does not tear down the castle that belongs to the bulldog whenever at least one animal hides the cards that she has from the akita. Rule12: There exists an animal which tears down the castle of the bulldog? Then, the mermaid definitely does not dance with the dragon. Rule13: The living creature that smiles at the vampire will never call the lizard. Rule14: The living creature that refuses to help the beetle will also call the mule, without a doubt. Rule15: The living creature that shouts at the dragonfly will also hug the basenji, without a doubt. Rule16: One of the rules of the game is that if the leopard takes over the emperor of the lizard, then the lizard will, without hesitation, build a power plant close to the green fields of the elk. Rule17: If you are positive that you saw one of the animals calls the dolphin, you can be certain that it will also create a castle for the bee. Rule18: There exists an animal which disarms the songbird? Then, the bison definitely does not build a power plant close to the green fields of the ant. Rule19: There exists an animal which builds a power plant near the green fields of the ant? Then the leopard definitely takes over the emperor of the lizard. Rule20: Here is an important piece of information about the frog: if it has fewer than fourteen friends then it invests in the company owned by the fish for sure. Rule21: If you are positive that you saw one of the animals pays some $$$ to the chinchilla, you can be certain that it will not manage to persuade the ostrich. Rule22: This is a basic rule: if the owl negotiates a deal with the mermaid, then the conclusion that \"the mermaid dances with the dragon\" follows immediately and effectively. Rule23: There exists an animal which wants to see the monkey? Then the dugong definitely smiles at the pigeon. Rule24: If there is evidence that one animal, no matter which one, swears to the cobra, then the cougar is not going to dance with the gadwall. Rule25: The lizard manages to persuade the ostrich whenever at least one animal invests in the company owned by the badger. Rule26: The living creature that does not call the chihuahua will never dance with the cougar. Rule27: The living creature that builds a power plant close to the green fields of the elk will also refuse to help the beetle, without a doubt. Rule28: This is a basic rule: if the rhino swims in the pool next to the house of the gadwall, then the conclusion that \"the gadwall calls the lizard\" follows immediately and effectively. Rule29: Here is an important piece of information about the frog: if it has a football that fits in a 63.7 x 48.9 x 49.1 inches box then it invests in the company owned by the fish for sure. Rule30: One of the rules of the game is that if the frog invests in the company owned by the fish, then the fish will, without hesitation, acquire a photograph of the seahorse. Rule31: If you are positive that one of the animals does not manage to convince the ostrich, you can be certain that it will shout at the dragonfly without a doubt. Rule32: This is a basic rule: if the cougar dances with the gadwall, then the conclusion that \"the gadwall smiles at the vampire\" follows immediately and effectively. Rule33: Here is an important piece of information about the lizard: if it has a card whose color starts with the letter \"y\" then it does not pay some $$$ to the chinchilla for sure. Rule34: One of the rules of the game is that if the german shepherd hugs the lizard, then the lizard will never build a power plant close to the green fields of the elk. Rule35: If at least one animal dances with the dragon, then the lizard does not leave the houses that are occupied by the duck. Rule36: The cougar unquestionably dances with the gadwall, in the case where the mannikin does not dance with the cougar. Rule37: If the finch is in Africa at the moment, then the finch unites with the bison. Rule38: Here is an important piece of information about the finch: if it took a bike from the store then it unites with the bison for sure. Rule10 is preferred over Rule6. Rule10 is preferred over Rule8. Rule11 is preferred over Rule2. Rule18 is preferred over Rule3. Rule22 is preferred over Rule12. Rule24 is preferred over Rule36. Rule25 is preferred over Rule21. Rule28 is preferred over Rule13. Rule33 is preferred over Rule6. Rule33 is preferred over Rule8. Rule34 is preferred over Rule16. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the lizard fall on a square of the beaver? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "ad24be6b2597894286e496ed1b06edaa5ae66c08b5efb1544e788ef206b38099",
    "id": "bbeh:boardgame_qa:104",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant is watching a movie from 1984. The bulldog dances with the swan. The camel is named Peddi. The dachshund swims in the pool next to the house of the flamingo. The dove is currently in Lyon. The gadwall has a basketball with a diameter of 15 inches. The gadwall is watching a movie from 2008. The mannikin destroys the wall constructed by the gadwall. The pigeon is named Lucy. The reindeer is watching a movie from 1988, and is two years old. The wolf is named Lola. The songbird does not hide the cards that she has from the dove. The starling does not reveal a secret to the swan. And the rules of the game are as follows. Rule1: If something neglects the beetle, then it does not refuse to help the mouse. Rule2: The reindeer will not reveal something that is supposed to be a secret to the zebra if it (the reindeer) is watching a movie that was released before SpaceX was founded. Rule3: If there is evidence that one animal, no matter which one, calls the dinosaur, then the bee shouts at the pelikan undoubtedly. Rule4: The bison unquestionably unites with the beaver, in the case where the coyote enjoys the company of the bison. Rule5: Are you certain that one of the animals shouts at the vampire and also at the same time negotiates a deal with the mule? Then you can also be certain that the same animal swims inside the pool located besides the house of the badger. Rule6: One of the rules of the game is that if the gorilla hides the cards that she has from the goat, then the goat will, without hesitation, negotiate a deal with the bee. Rule7: If the akita does not swim inside the pool located besides the house of the pelikan, then the pelikan shouts at the vampire. Rule8: There exists an animal which trades one of the pieces in its possession with the butterfly? Then the leopard definitely reveals a secret to the dragon. Rule9: The reindeer will reveal a secret to the zebra if it (the reindeer) has a name whose first letter is the same as the first letter of the camel's name. Rule10: There exists an animal which wants to see the liger? Then the duck definitely trades one of the pieces in its possession with the butterfly. Rule11: This is a basic rule: if the songbird does not hide her cards from the dove, then the conclusion that the dove falls on a square of the songbird follows immediately and effectively. Rule12: One of the rules of the game is that if the starling does not reveal a secret to the swan, then the swan will, without hesitation, want to see the liger. Rule13: The gadwall will swear to the german shepherd if it (the gadwall) is watching a movie that was released before SpaceX was founded. Rule14: Here is an important piece of information about the dove: if it is in Italy at the moment then it does not fall on a square that belongs to the songbird for sure. Rule15: The leopard does not reveal a secret to the dragon, in the case where the ostrich borrows one of the weapons of the leopard. Rule16: For the pelikan, if you have two pieces of evidence 1) the crab surrenders to the pelikan and 2) the fangtooth creates one castle for the pelikan, then you can add \"pelikan will never swim inside the pool located besides the house of the badger\" to your conclusions. Rule17: From observing that one animal refuses to help the mouse, one can conclude that it also calls the dinosaur, undoubtedly. Rule18: If the frog does not build a power plant close to the green fields of the gorilla, then the gorilla does not hide her cards from the goat. Rule19: The gorilla hides the cards that she has from the goat whenever at least one animal smiles at the otter. Rule20: The pigeon will not surrender to the flamingo if it (the pigeon) has a name whose first letter is the same as the first letter of the wolf's name. Rule21: If at least one animal smiles at the fish, then the basenji does not create one castle for the seahorse. Rule22: One of the rules of the game is that if the stork acquires a photo of the duck, then the duck will never trade one of the pieces in its possession with the butterfly. Rule23: This is a basic rule: if the ant swears to the liger, then the conclusion that \"the liger will not shout at the akita\" follows immediately and effectively. Rule24: Regarding the reindeer, if it is more than 3 and a half years old, then we can conclude that it reveals a secret to the zebra. Rule25: There exists an animal which falls on a square of the songbird? Then the dolphin definitely captures the king of the coyote. Rule26: If the dove has a card with a primary color, then the dove does not fall on a square of the songbird. Rule27: The living creature that swims in the pool next to the house of the snake will also swear to the liger, without a doubt. Rule28: The crab does not surrender to the pelikan whenever at least one animal wants to see the worm. Rule29: One of the rules of the game is that if the dolphin captures the king (i.e. the most important piece) of the coyote, then the coyote will, without hesitation, enjoy the companionship of the bison. Rule30: If at least one animal neglects the crow, then the wolf smiles at the fish. Rule31: If something swims in the pool next to the house of the rhino, then it does not negotiate a deal with the mule. Rule32: If the pigeon does not surrender to the flamingo, then the flamingo neglects the crow. Rule33: One of the rules of the game is that if the bison unites with the beaver, then the beaver will never hug the pelikan. Rule34: One of the rules of the game is that if the fangtooth creates a castle for the dolphin, then the dolphin will never capture the king (i.e. the most important piece) of the coyote. Rule35: The crab unquestionably surrenders to the pelikan, in the case where the seahorse swears to the crab. Rule36: If the basenji does not create a castle for the seahorse, then the seahorse swears to the crab. Rule37: One of the rules of the game is that if the crab reveals something that is supposed to be a secret to the ant, then the ant will never swear to the liger. Rule38: One of the rules of the game is that if the reindeer does not reveal a secret to the zebra, then the zebra will, without hesitation, smile at the otter. Rule39: If at least one animal reveals something that is supposed to be a secret to the dragon, then the akita shouts at the ant. Rule40: The living creature that does not borrow one of the weapons of the dinosaur will refuse to help the mouse with no doubts. Rule41: The ant will swim in the pool next to the house of the snake if it (the ant) is watching a movie that was released before Lionel Messi was born. Rule42: This is a basic rule: if the dachshund swims inside the pool located besides the house of the flamingo, then the conclusion that \"the flamingo unites with the finch\" follows immediately and effectively. Rule43: If the bee shouts at the pelikan, then the pelikan negotiates a deal with the mule. Rule44: If something shouts at the ant, then it does not swim in the pool next to the house of the pelikan. Rule45: Here is an important piece of information about the gadwall: if it has a basketball that fits in a 22.9 x 21.8 x 24.1 inches box then it swears to the german shepherd for sure. Rule46: One of the rules of the game is that if the gadwall swears to the german shepherd, then the german shepherd will never borrow one of the weapons of the dinosaur. Rule47: This is a basic rule: if the liger does not shout at the akita, then the conclusion that the akita will not shout at the ant follows immediately and effectively. Rule48: If you are positive that you saw one of the animals dances with the fangtooth, you can be certain that it will not enjoy the company of the bison. Rule1 is preferred over Rule40. Rule14 is preferred over Rule11. Rule15 is preferred over Rule8. Rule16 is preferred over Rule5. Rule18 is preferred over Rule19. Rule22 is preferred over Rule10. Rule24 is preferred over Rule2. Rule26 is preferred over Rule11. Rule28 is preferred over Rule35. Rule31 is preferred over Rule43. Rule34 is preferred over Rule25. Rule37 is preferred over Rule27. Rule39 is preferred over Rule47. Rule48 is preferred over Rule29. Rule9 is preferred over Rule2. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the pelikan swim in the pool next to the house of the badger? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "de5fac5b8670ea0ec0721ebb5757fb188248f4a827b023a95e70a7cf1473b313",
    "id": "bbeh:boardgame_qa:106",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear suspects the truthfulness of the dragon. The cobra unites with the otter. The elk smiles at the akita. The frog falls on a square of the dove. The goose is currently in Frankfurt. The llama shouts at the pigeon. The pelikan wants to see the songbird. The walrus has a card that is red in color. And the rules of the game are as follows. Rule1: There exists an animal which captures the king (i.e. the most important piece) of the starling? Then, the poodle definitely does not disarm the ostrich. Rule2: From observing that one animal pays money to the basenji, one can conclude that it also falls on a square of the mule, undoubtedly. Rule3: This is a basic rule: if the elk smiles at the akita, then the conclusion that \"the akita falls on a square of the poodle\" follows immediately and effectively. Rule4: The goose will fall on a square that belongs to the goat if it (the goose) has something to drink. Rule5: The goose will not fall on a square that belongs to the goat if it (the goose) is in Germany at the moment. Rule6: The coyote unquestionably swears to the mouse, in the case where the goat refuses to help the coyote. Rule7: If something disarms the chihuahua, then it swears to the gorilla, too. Rule8: If at least one animal falls on a square that belongs to the dove, then the pelikan leaves the houses occupied by the mermaid. Rule9: The mouse pays some $$$ to the basenji whenever at least one animal pays some $$$ to the peafowl. Rule10: Are you certain that one of the animals falls on a square that belongs to the mule and also at the same time negotiates a deal with the german shepherd? Then you can also be certain that the same animal does not refuse to help the lizard. Rule11: If the walrus has a card whose color starts with the letter \"e\", then the walrus does not pay some $$$ to the peafowl. Rule12: The beaver does not swear to the gorilla whenever at least one animal refuses to help the gadwall. Rule13: The lizard unquestionably captures the king of the beaver, in the case where the mouse does not refuse to help the lizard. Rule14: If at least one animal shouts at the pigeon, then the bear does not hide the cards that she has from the poodle. Rule15: If the lizard captures the king of the beaver, then the beaver disarms the chihuahua. Rule16: If at least one animal disarms the ostrich, then the mouse negotiates a deal with the german shepherd. Rule17: If there is evidence that one animal, no matter which one, leaves the houses that are occupied by the mermaid, then the goat refuses to help the coyote undoubtedly. Rule18: This is a basic rule: if the cougar builds a power plant close to the green fields of the mouse, then the conclusion that \"the mouse will not negotiate a deal with the german shepherd\" follows immediately and effectively. Rule19: If the walrus owns a luxury aircraft, then the walrus does not pay some $$$ to the peafowl. Rule20: The living creature that suspects the truthfulness of the dragon will also hide her cards from the poodle, without a doubt. Rule21: For the poodle, if you have two pieces of evidence 1) the akita falls on a square that belongs to the poodle and 2) the bear hides her cards from the poodle, then you can add \"poodle disarms the ostrich\" to your conclusions. Rule22: If there is evidence that one animal, no matter which one, unites with the otter, then the walrus pays money to the peafowl undoubtedly. Rule1 is preferred over Rule21. Rule11 is preferred over Rule22. Rule12 is preferred over Rule7. Rule18 is preferred over Rule16. Rule19 is preferred over Rule22. Rule20 is preferred over Rule14. Rule4 is preferred over Rule5. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the beaver swear to the gorilla? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "60a4147df842401fc4f875767314f503f63ea20672c64e4c2a87aa89730cf18c",
    "id": "bbeh:boardgame_qa:108",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog is currently in Rome. The duck negotiates a deal with the monkey. The fish has a backpack, and has a card that is black in color. The fish has a cappuccino. The snake acquires a photograph of the akita. The snake has a card that is white in color. The zebra has 11 friends. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the duck negotiates a deal with the monkey, then the monkey will never build a power plant near the green fields of the finch. Rule2: From observing that one animal calls the otter, one can conclude that it also invests in the company whose owner is the beetle, undoubtedly. Rule3: From observing that an animal borrows a weapon from the woodpecker, one can conclude the following: that animal does not stop the victory of the starling. Rule4: If the monkey does not unite with the coyote, then the coyote borrows one of the weapons of the woodpecker. Rule5: One of the rules of the game is that if the snake takes over the emperor of the crab, then the crab will, without hesitation, pay some $$$ to the llama. Rule6: The wolf hides the cards that she has from the coyote whenever at least one animal takes over the emperor of the flamingo. Rule7: If you are positive that you saw one of the animals invests in the company owned by the leopard, you can be certain that it will also take over the emperor of the crab. Rule8: The living creature that calls the dalmatian will never hide her cards from the coyote. Rule9: One of the rules of the game is that if the wolf hides her cards from the coyote, then the coyote will never take over the emperor of the woodpecker. Rule10: The worm does not hide her cards from the coyote whenever at least one animal neglects the goat. Rule11: There exists an animal which neglects the chihuahua? Then, the zebra definitely does not neglect the goat. Rule12: If the fish has something to drink, then the fish invests in the company owned by the dragonfly. Rule13: From observing that one animal acquires a photo of the akita, one can conclude that it also shouts at the lizard, undoubtedly. Rule14: If you see that something does not invest in the company owned by the beetle and also does not take over the emperor of the woodpecker, what can you certainly conclude? You can conclude that it also stops the victory of the starling. Rule15: The walrus does not call the bee whenever at least one animal pays money to the llama. Rule16: From observing that an animal shouts at the lizard, one can conclude the following: that animal does not reveal something that is supposed to be a secret to the vampire. Rule17: If there is evidence that one animal, no matter which one, stops the victory of the starling, then the goat borrows a weapon from the liger undoubtedly. Rule18: There exists an animal which invests in the company owned by the dragonfly? Then the monkey definitely unites with the coyote. Rule19: In order to conclude that the bee invests in the company whose owner is the butterfly, two pieces of evidence are required: firstly the walrus does not call the bee and secondly the liger does not pay money to the bee. Rule20: From observing that an animal does not reveal something that is supposed to be a secret to the vampire, one can conclude that it invests in the company whose owner is the leopard. Rule21: If you are positive that you saw one of the animals refuses to help the dragonfly, you can be certain that it will also build a power plant near the green fields of the finch. Rule22: If the zebra has more than 9 friends, then the zebra neglects the goat. Rule23: The liger does not pay some $$$ to the bee, in the case where the goat borrows a weapon from the liger. Rule24: If something does not build a power plant close to the green fields of the finch, then it does not unite with the coyote. Rule25: One of the rules of the game is that if the stork calls the snake, then the snake will never invest in the company whose owner is the leopard. Rule26: If the worm does not hide the cards that she has from the coyote, then the coyote does not invest in the company owned by the beetle. Rule27: There exists an animal which invests in the company whose owner is the bison? Then, the bee definitely does not invest in the company whose owner is the butterfly. Rule28: If the bulldog is in Italy at the moment, then the bulldog takes over the emperor of the flamingo. Rule29: The living creature that captures the king of the coyote will never borrow one of the weapons of the liger. Rule30: Here is an important piece of information about the fish: if it has something to carry apples and oranges then it does not invest in the company whose owner is the dragonfly for sure. Rule11 is preferred over Rule22. Rule12 is preferred over Rule30. Rule14 is preferred over Rule3. Rule2 is preferred over Rule26. Rule21 is preferred over Rule1. Rule24 is preferred over Rule18. Rule25 is preferred over Rule20. Rule27 is preferred over Rule19. Rule29 is preferred over Rule17. Rule8 is preferred over Rule6. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the bee invest in the company whose owner is the butterfly? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "e9fd19f5f1521d474853db736835dd9f85092474f304d92ed117789858924a65",
    "id": "bbeh:boardgame_qa:110",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The butterfly swears to the dove. The dove has 9 friends. The dove is watching a movie from 1987, and is eighteen and a half months old. The goose builds a power plant near the green fields of the snake. The llama destroys the wall constructed by the otter. The mouse shouts at the frog. The peafowl invented a time machine. The peafowl unites with the mule. The worm swims in the pool next to the house of the dove. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals takes over the emperor of the dolphin, you can be certain that it will not borrow a weapon from the stork. Rule2: The llama surrenders to the lizard whenever at least one animal builds a power plant close to the green fields of the snake. Rule3: For the ant, if you have two pieces of evidence 1) the swallow manages to convince the ant and 2) the dolphin smiles at the ant, then you can add \"ant swears to the akita\" to your conclusions. Rule4: The living creature that invests in the company owned by the goat will never pay some $$$ to the fish. Rule5: This is a basic rule: if the poodle refuses to help the dolphin, then the conclusion that \"the dolphin pays some $$$ to the fish\" follows immediately and effectively. Rule6: This is a basic rule: if the dove destroys the wall constructed by the badger, then the conclusion that \"the badger stops the victory of the swallow\" follows immediately and effectively. Rule7: The peafowl will not call the otter if it (the peafowl) purchased a time machine. Rule8: There exists an animal which brings an oil tank for the german shepherd? Then, the swallow definitely does not manage to persuade the ant. Rule9: Regarding the peafowl, if it is in Africa at the moment, then we can conclude that it does not call the otter. Rule10: If the badger stops the victory of the swallow, then the swallow manages to persuade the ant. Rule11: If the ant swears to the akita, then the akita hides her cards from the bear. Rule12: This is a basic rule: if the lizard unites with the dolphin, then the conclusion that \"the dolphin invests in the company owned by the goat\" follows immediately and effectively. Rule13: The living creature that borrows one of the weapons of the stork will also destroy the wall built by the badger, without a doubt. Rule14: Regarding the dove, if it is more than four years old, then we can conclude that it tears down the castle that belongs to the monkey. Rule15: The lizard does not unite with the dolphin whenever at least one animal calls the otter. Rule16: If you are positive that you saw one of the animals unites with the mule, you can be certain that it will also call the otter. Rule17: The dove will tear down the castle that belongs to the monkey if it (the dove) has more than five friends. Rule18: If there is evidence that one animal, no matter which one, shouts at the frog, then the dove takes over the emperor of the dolphin undoubtedly. Rule19: From observing that an animal does not pay some $$$ to the fish, one can conclude that it smiles at the ant. Rule20: This is a basic rule: if the llama surrenders to the lizard, then the conclusion that \"the lizard unites with the dolphin\" follows immediately and effectively. Rule21: One of the rules of the game is that if the goat surrenders to the dolphin, then the dolphin will never invest in the company owned by the goat. Rule22: If something enjoys the company of the dalmatian, then it does not reveal a secret to the flamingo. Rule23: One of the rules of the game is that if the butterfly swears to the dove, then the dove will, without hesitation, reveal something that is supposed to be a secret to the flamingo. Rule24: Are you certain that one of the animals tears down the castle of the monkey and also at the same time reveals something that is supposed to be a secret to the flamingo? Then you can also be certain that the same animal borrows one of the weapons of the stork. Rule20 is preferred over Rule15. Rule21 is preferred over Rule12. Rule22 is preferred over Rule23. Rule24 is preferred over Rule1. Rule5 is preferred over Rule4. Rule7 is preferred over Rule16. Rule8 is preferred over Rule10. Rule9 is preferred over Rule16. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the akita hide the cards that she has from the bear? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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    "role": "final",
    "task": "boardgame_qa"
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  {
    "dataset": "bbeh",
    "family": "86c420f45d909f31a0fb4d04487c6a6d2be036f77f44bd26dfe5f62ec8894699",
    "id": "bbeh:boardgame_qa:113",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver has 26 dollars. The bee is named Milo. The dachshund has a 11 x 19 inches notebook, and is 5 and a half years old. The dachshund is watching a movie from 2007. The dalmatian has a cappuccino. The dalmatian is a grain elevator operator. The dugong is watching a movie from 2004. The german shepherd is named Meadow. The gorilla trades one of its pieces with the snake. The liger has 63 dollars. The llama has a card that is blue in color, and purchased a luxury aircraft. The owl is currently in Venice, and was born 5 and a half months ago. The pigeon is named Beauty. The pigeon reduced her work hours recently. The poodle is named Blossom. The seahorse hugs the bison. The starling reveals a secret to the dalmatian. The swallow has 73 dollars, has some spinach, and is 2 years old. The swallow has a football with a radius of 28 inches. The swan is currently in Paris. The vampire has a backpack, and has a flute. The stork does not refuse to help the beetle. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals smiles at the cougar, you can be certain that it will also fall on a square that belongs to the cougar. Rule2: If there is evidence that one animal, no matter which one, falls on a square that belongs to the bulldog, then the butterfly brings an oil tank for the german shepherd undoubtedly. Rule3: From observing that an animal does not call the bear, one can conclude the following: that animal will not hug the woodpecker. Rule4: Be careful when something invests in the company whose owner is the dove and also enjoys the companionship of the beaver because in this case it will surely neglect the mannikin (this may or may not be problematic). Rule5: If there is evidence that one animal, no matter which one, brings an oil tank for the crow, then the flamingo borrows one of the weapons of the gadwall undoubtedly. Rule6: Here is an important piece of information about the swallow: if it is less than five and a half years old then it does not manage to convince the goose for sure. Rule7: This is a basic rule: if the fish destroys the wall constructed by the fangtooth, then the conclusion that \"the fangtooth invests in the company owned by the german shepherd\" follows immediately and effectively. Rule8: From observing that one animal wants to see the ostrich, one can conclude that it also wants to see the leopard, undoubtedly. Rule9: From observing that an animal builds a power plant near the green fields of the dragonfly, one can conclude the following: that animal does not bring an oil tank for the german shepherd. Rule10: The owl will neglect the ant if it (the owl) is in Italy at the moment. Rule11: From observing that an animal does not negotiate a deal with the crab, one can conclude that it takes over the emperor of the seal. Rule12: If there is evidence that one animal, no matter which one, pays some $$$ to the peafowl, then the reindeer invests in the company whose owner is the rhino undoubtedly. Rule13: If there is evidence that one animal, no matter which one, falls on a square of the akita, then the goose unites with the chihuahua undoubtedly. Rule14: The monkey unquestionably smiles at the gadwall, in the case where the owl swims in the pool next to the house of the monkey. Rule15: If something does not enjoy the company of the frog, then it refuses to help the shark. Rule16: If there is evidence that one animal, no matter which one, unites with the mouse, then the owl refuses to help the dinosaur undoubtedly. Rule17: One of the rules of the game is that if the wolf reveals a secret to the fangtooth, then the fangtooth will, without hesitation, unite with the bulldog. Rule18: If at least one animal captures the king (i.e. the most important piece) of the basenji, then the wolf does not reveal something that is supposed to be a secret to the fangtooth. Rule19: From observing that an animal suspects the truthfulness of the pelikan, one can conclude the following: that animal does not destroy the wall constructed by the songbird. Rule20: If the fangtooth refuses to help the shark, then the shark takes over the emperor of the gadwall. Rule21: If the swallow has a football that fits in a 49.8 x 66.7 x 62.9 inches box, then the swallow does not manage to persuade the goose. Rule22: Regarding the swan, if it is in France at the moment, then we can conclude that it negotiates a deal with the ostrich. Rule23: The otter unquestionably takes over the emperor of the elk, in the case where the swallow captures the king of the otter. Rule24: The crab brings an oil tank for the crow whenever at least one animal takes over the emperor of the seal. Rule25: One of the rules of the game is that if the woodpecker trades one of the pieces in its possession with the wolf, then the wolf will, without hesitation, reveal a secret to the fangtooth. Rule26: If the german shepherd has a name whose first letter is the same as the first letter of the bee's name, then the german shepherd destroys the wall constructed by the goat. Rule27: Here is an important piece of information about the vampire: if it has something to carry apples and oranges then it unites with the mouse for sure. Rule28: Regarding the pigeon, if it works fewer hours than before, then we can conclude that it smiles at the husky. Rule29: The fangtooth does not invest in the company owned by the german shepherd, in the case where the dragon smiles at the fangtooth. Rule30: The living creature that negotiates a deal with the mermaid will never invest in the company owned by the rhino. Rule31: If the dalmatian has a musical instrument, then the dalmatian dances with the camel. Rule32: If there is evidence that one animal, no matter which one, unites with the bulldog, then the shark is not going to take over the emperor of the gadwall. Rule33: If something creates one castle for the chinchilla, then it swims in the pool next to the house of the monkey, too. Rule34: Here is an important piece of information about the dugong: if it is watching a movie that was released before Obama's presidency started then it smiles at the cougar for sure. Rule35: The living creature that does not manage to persuade the goose will capture the king of the otter with no doubts. Rule36: If at least one animal unites with the chihuahua, then the gadwall enjoys the company of the beaver. Rule37: If the rhino does not refuse to help the owl, then the owl does not create a castle for the chinchilla. Rule38: There exists an animal which dances with the camel? Then, the dugong definitely does not fall on a square that belongs to the cougar. Rule39: The songbird unquestionably negotiates a deal with the crab, in the case where the coyote smiles at the songbird. Rule40: If you are positive that you saw one of the animals takes over the emperor of the elk, you can be certain that it will also fall on a square that belongs to the akita. Rule41: One of the rules of the game is that if the stork does not refuse to help the beetle, then the beetle will, without hesitation, pay some $$$ to the peafowl. Rule42: If you are positive that you saw one of the animals neglects the ant, you can be certain that it will not refuse to help the dinosaur. Rule43: If the llama owns a luxury aircraft, then the llama does not call the bear. Rule44: One of the rules of the game is that if the zebra does not smile at the fangtooth, then the fangtooth will never want to see the ostrich. Rule45: The pigeon will not smile at the husky if it (the pigeon) has a name whose first letter is the same as the first letter of the poodle's name. Rule46: One of the rules of the game is that if the shark takes over the emperor of the gadwall, then the gadwall will never neglect the mannikin. Rule47: There exists an animal which negotiates a deal with the ostrich? Then the fangtooth definitely wants to see the ostrich. Rule48: If you are positive that you saw one of the animals invests in the company whose owner is the german shepherd, you can be certain that it will not enjoy the companionship of the frog. Rule49: If the mule does not suspect the truthfulness of the monkey, then the monkey does not smile at the gadwall. Rule50: Regarding the vampire, if it has a sharp object, then we can conclude that it unites with the mouse. Rule51: Here is an important piece of information about the swallow: if it has a leafy green vegetable then it manages to persuade the goose for sure. Rule52: The living creature that does not smile at the husky will smile at the rhino with no doubts. Rule53: If the dalmatian works in agriculture, then the dalmatian dances with the camel. Rule54: For the gadwall, if you have two pieces of evidence 1) the flamingo borrows a weapon from the gadwall and 2) the monkey smiles at the gadwall, then you can add \"gadwall invests in the company owned by the dove\" to your conclusions. Rule55: If something wants to see the leopard, then it does not take over the emperor of the dalmatian. Rule56: If the llama does not hug the woodpecker, then the woodpecker trades one of the pieces in its possession with the wolf. Rule57: If the lizard destroys the wall constructed by the songbird, then the songbird is not going to negotiate a deal with the crab. Rule58: There exists an animal which hugs the bison? Then the lizard definitely destroys the wall built by the songbird. Rule59: One of the rules of the game is that if the dugong does not fall on a square that belongs to the cougar, then the cougar will, without hesitation, neglect the fangtooth. Rule60: If there is evidence that one animal, no matter which one, trades one of the pieces in its possession with the snake, then the butterfly builds a power plant near the green fields of the dragonfly undoubtedly. Rule61: One of the rules of the game is that if the pigeon smiles at the rhino, then the rhino will, without hesitation, shout at the owl. Rule62: From observing that one animal refuses to help the dinosaur, one can conclude that it also creates one castle for the chinchilla, undoubtedly. Rule63: The dachshund will fall on a square of the bulldog if it (the dachshund) has a notebook that fits in a 24.3 x 14.6 inches box. Rule64: The german shepherd unquestionably borrows one of the weapons of the fangtooth, in the case where the butterfly brings an oil tank for the german shepherd. Rule65: If at least one animal destroys the wall built by the goat, then the fish destroys the wall built by the fangtooth. Rule16 is preferred over Rule42. Rule18 is preferred over Rule25. Rule19 is preferred over Rule58. Rule2 is preferred over Rule9. Rule20 is preferred over Rule32. Rule21 is preferred over Rule51. Rule29 is preferred over Rule7. Rule30 is preferred over Rule12. Rule37 is preferred over Rule62. Rule38 is preferred over Rule1. Rule39 is preferred over Rule57. Rule4 is preferred over Rule46. Rule44 is preferred over Rule47. Rule45 is preferred over Rule28. Rule49 is preferred over Rule14. Rule6 is preferred over Rule51. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the gadwall neglect the mannikin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "task": "boardgame_qa"
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  {
    "dataset": "bbeh",
    "family": "a24b40c4f00a580154728791a8e9f7ca96804b6e47b6d771090a7881c8a01de7",
    "id": "bbeh:boardgame_qa:114",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita brings an oil tank for the pelikan. The chihuahua calls the swallow. The chinchilla invented a time machine. The coyote builds a power plant near the green fields of the gorilla, and has eighteen friends. The coyote has 78 dollars. The dinosaur has 53 dollars. The dragon hides the cards that she has from the mule. The dragonfly wants to see the peafowl. The fish has 40 dollars. The liger has two friends that are bald and seven friends that are not. The ostrich has 61 dollars, has a football with a radius of 29 inches, and is a school principal. The ostrich is watching a movie from 1998. The peafowl is a marketing manager. The pigeon has 16 dollars. The seal has 5 dollars. The goose does not swear to the starling. And the rules of the game are as follows. Rule1: Regarding the liger, if it has more than 6 friends, then we can conclude that it enjoys the companionship of the zebra. Rule2: If the ostrich is watching a movie that was released after Facebook was founded, then the ostrich creates a castle for the mermaid. Rule3: If the peafowl does not trade one of the pieces in its possession with the fangtooth, then the fangtooth falls on a square that belongs to the stork. Rule4: One of the rules of the game is that if the vampire tears down the castle that belongs to the stork, then the stork will never take over the emperor of the seahorse. Rule5: If you are positive that one of the animals does not swear to the starling, you can be certain that it will unite with the bee without a doubt. Rule6: If at least one animal brings an oil tank for the pelikan, then the owl creates one castle for the frog. Rule7: If something does not take over the emperor of the camel, then it smiles at the crow. Rule8: If the beaver surrenders to the dugong, then the dugong hides her cards from the swallow. Rule9: There exists an animal which neglects the badger? Then the duck definitely manages to persuade the cobra. Rule10: If the bulldog hugs the crow, then the crow reveals a secret to the flamingo. Rule11: One of the rules of the game is that if the ant surrenders to the beaver, then the beaver will, without hesitation, surrender to the dugong. Rule12: Regarding the ostrich, if it has more money than the fish and the pigeon combined, then we can conclude that it does not create a castle for the mermaid. Rule13: If at least one animal stops the victory of the seahorse, then the dugong destroys the wall constructed by the monkey. Rule14: From observing that an animal builds a power plant close to the green fields of the seal, one can conclude the following: that animal does not surrender to the dugong. Rule15: One of the rules of the game is that if the pigeon does not dance with the butterfly, then the butterfly will never smile at the woodpecker. Rule16: One of the rules of the game is that if the chinchilla creates a castle for the bulldog, then the bulldog will, without hesitation, hug the crow. Rule17: The woodpecker does not neglect the ostrich, in the case where the butterfly smiles at the woodpecker. Rule18: If there is evidence that one animal, no matter which one, builds a power plant close to the green fields of the dragonfly, then the dugong is not going to call the basenji. Rule19: If you see that something destroys the wall constructed by the monkey and hides the cards that she has from the swallow, what can you certainly conclude? You can conclude that it also calls the basenji. Rule20: The living creature that does not invest in the company whose owner is the beetle will never invest in the company whose owner is the dinosaur. Rule21: If the chihuahua suspects the truthfulness of the cougar, then the cougar negotiates a deal with the mouse. Rule22: One of the rules of the game is that if the dragonfly wants to see the peafowl, then the peafowl will never trade one of the pieces in its possession with the fangtooth. Rule23: The living creature that calls the swallow will also suspect the truthfulness of the cougar, without a doubt. Rule24: This is a basic rule: if the lizard leaves the houses that are occupied by the ant, then the conclusion that \"the ant surrenders to the beaver\" follows immediately and effectively. Rule25: If the ostrich has a football that fits in a 59.9 x 62.8 x 63.5 inches box, then the ostrich creates one castle for the mermaid. Rule26: One of the rules of the game is that if the stork takes over the emperor of the seahorse, then the seahorse will, without hesitation, acquire a photograph of the ostrich. Rule27: One of the rules of the game is that if the otter dances with the lizard, then the lizard will, without hesitation, leave the houses occupied by the ant. Rule28: The coyote will surrender to the husky if it (the coyote) has fewer than ten friends. Rule29: If there is evidence that one animal, no matter which one, creates one castle for the mermaid, then the butterfly enjoys the company of the llama undoubtedly. Rule30: Here is an important piece of information about the chinchilla: if it created a time machine then it creates a castle for the bulldog for sure. Rule31: Regarding the ostrich, if it works in marketing, then we can conclude that it does not create a castle for the mermaid. Rule32: If at least one animal enjoys the company of the zebra, then the gadwall does not take over the emperor of the camel. Rule33: The living creature that builds a power plant close to the green fields of the gorilla will never surrender to the husky. Rule34: If something enjoys the companionship of the llama, then it smiles at the woodpecker, too. Rule35: The ostrich does not stop the victory of the seahorse, in the case where the flamingo tears down the castle that belongs to the ostrich. Rule36: The duck does not capture the king (i.e. the most important piece) of the worm whenever at least one animal unites with the bee. Rule37: The leopard neglects the badger whenever at least one animal creates one castle for the frog. Rule38: Regarding the coyote, if it has more money than the dinosaur and the seal combined, then we can conclude that it surrenders to the husky. Rule39: One of the rules of the game is that if the songbird does not unite with the fangtooth, then the fangtooth will never fall on a square of the stork. Rule40: One of the rules of the game is that if the mannikin borrows one of the weapons of the crow, then the crow will never reveal a secret to the flamingo. Rule41: If the woodpecker does not neglect the ostrich but the seahorse acquires a photo of the ostrich, then the ostrich stops the victory of the seahorse unavoidably. Rule42: The chihuahua does not invest in the company owned by the beetle whenever at least one animal negotiates a deal with the mouse. Rule43: If there is evidence that one animal, no matter which one, calls the elk, then the dinosaur hides the cards that she has from the dugong undoubtedly. Rule44: There exists an animal which smiles at the crow? Then the flamingo definitely tears down the castle that belongs to the ostrich. Rule45: One of the rules of the game is that if the fangtooth falls on a square of the stork, then the stork will, without hesitation, take over the emperor of the seahorse. Rule46: If the duck manages to persuade the cobra, then the cobra calls the elk. Rule47: The goat builds a power plant near the green fields of the gadwall whenever at least one animal hides the cards that she has from the mule. Rule48: There exists an animal which surrenders to the husky? Then the otter definitely dances with the lizard. Rule14 is preferred over Rule11. Rule15 is preferred over Rule34. Rule18 is preferred over Rule19. Rule2 is preferred over Rule12. Rule2 is preferred over Rule31. Rule25 is preferred over Rule12. Rule25 is preferred over Rule31. Rule28 is preferred over Rule33. Rule38 is preferred over Rule33. Rule39 is preferred over Rule3. Rule4 is preferred over Rule45. Rule40 is preferred over Rule10. Rule41 is preferred over Rule35. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the dugong call the basenji? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "0e6c8f383bb262ab4b270b12e3481126f049f908fb9cb845635725d5c1238b83",
    "id": "bbeh:boardgame_qa:122",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has a basketball with a diameter of 15 inches, and is currently in Kenya. The basenji dances with the chinchilla. The camel is 4 and a half years old. The coyote has 54 dollars, and is currently in Ottawa. The crow is a teacher assistant. The fish has 21 dollars. The flamingo is a software developer. The flamingo struggles to find food. The mule is named Max. The rhino has a card that is violet in color. The rhino is named Lily. The shark has a football with a radius of 15 inches, and is a public relations specialist. The woodpecker has 87 dollars. The ant does not destroy the wall constructed by the elk. The dinosaur does not surrender to the dugong. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, suspects the truthfulness of the owl, then the frog shouts at the dragonfly undoubtedly. Rule2: If you are positive that you saw one of the animals destroys the wall built by the dalmatian, you can be certain that it will not shout at the dragonfly. Rule3: The living creature that dances with the bison will also destroy the wall constructed by the poodle, without a doubt. Rule4: If you are positive that you saw one of the animals hides the cards that she has from the goat, you can be certain that it will not call the bison. Rule5: The living creature that dances with the chinchilla will also fall on a square of the vampire, without a doubt. Rule6: From observing that an animal dances with the dragonfly, one can conclude the following: that animal does not suspect the truthfulness of the crow. Rule7: One of the rules of the game is that if the stork does not unite with the rhino, then the rhino will, without hesitation, swim inside the pool located besides the house of the frog. Rule8: If something does not want to see the mannikin, then it leaves the houses occupied by the starling. Rule9: The goose does not create a castle for the worm, in the case where the bulldog stops the victory of the goose. Rule10: Regarding the flamingo, if it has difficulty to find food, then we can conclude that it smiles at the husky. Rule11: The living creature that does not surrender to the dugong will never negotiate a deal with the pigeon. Rule12: If at least one animal calls the bison, then the elk does not suspect the truthfulness of the worm. Rule13: The living creature that pays money to the mouse will also swear to the cougar, without a doubt. Rule14: If at least one animal captures the king (i.e. the most important piece) of the cobra, then the bulldog does not stop the victory of the goose. Rule15: Regarding the shark, if it has a football that fits in a 21.8 x 26.2 x 28.9 inches box, then we can conclude that it does not unite with the german shepherd. Rule16: One of the rules of the game is that if the liger suspects the truthfulness of the crow, then the crow will, without hesitation, shout at the poodle. Rule17: Be careful when something does not suspect the truthfulness of the beetle but swears to the cougar because in this case it will, surely, dance with the elk (this may or may not be problematic). Rule18: If the coyote is in Africa at the moment, then the coyote does not take over the emperor of the monkey. Rule19: If the coyote suspects the truthfulness of the lizard, then the lizard suspects the truthfulness of the owl. Rule20: If something falls on a square of the vampire, then it trades one of the pieces in its possession with the dragon, too. Rule21: This is a basic rule: if the rhino does not swear to the pigeon, then the conclusion that the pigeon wants to see the dinosaur follows immediately and effectively. Rule22: The rhino will not swear to the pigeon if it (the rhino) has a name whose first letter is the same as the first letter of the mule's name. Rule23: The living creature that reveals something that is supposed to be a secret to the gorilla will also stop the victory of the goose, without a doubt. Rule24: If the flamingo is in Africa at the moment, then the flamingo does not smile at the husky. Rule25: Here is an important piece of information about the ant: if it has a basketball that fits in a 17.4 x 16.6 x 21.6 inches box then it acquires a photo of the songbird for sure. Rule26: From observing that one animal suspects the truthfulness of the badger, one can conclude that it also creates one castle for the worm, undoubtedly. Rule27: If something enjoys the company of the snake, then it does not suspect the truthfulness of the owl. Rule28: If the worm does not destroy the wall constructed by the poodle, then the poodle reveals a secret to the dolphin. Rule29: If there is evidence that one animal, no matter which one, shouts at the dragonfly, then the liger suspects the truthfulness of the crow undoubtedly. Rule30: If you are positive that you saw one of the animals wants to see the dinosaur, you can be certain that it will also fall on a square of the stork. Rule31: This is a basic rule: if the pigeon falls on a square that belongs to the stork, then the conclusion that \"the stork will not unite with the rhino\" follows immediately and effectively. Rule32: One of the rules of the game is that if the dinosaur stops the victory of the pigeon, then the pigeon will never fall on a square of the stork. Rule33: One of the rules of the game is that if the otter dances with the elk, then the elk will, without hesitation, suspect the truthfulness of the worm. Rule34: If something does not take over the emperor of the monkey, then it suspects the truthfulness of the lizard. Rule35: The otter does not suspect the truthfulness of the beetle whenever at least one animal trades one of its pieces with the dragon. Rule36: If at least one animal surrenders to the bear, then the dragon smiles at the otter. Rule37: The crow will reveal something that is supposed to be a secret to the otter if it (the crow) works in education. Rule38: Regarding the coyote, if it has more money than the fish, then we can conclude that it does not take over the emperor of the monkey. Rule39: The crow will not reveal something that is supposed to be a secret to the otter if it (the crow) has more money than the woodpecker. Rule40: One of the rules of the game is that if the shark destroys the wall constructed by the bulldog, then the bulldog will, without hesitation, reveal a secret to the gorilla. Rule41: If the llama does not smile at the basenji, then the basenji does not fall on a square that belongs to the vampire. Rule42: The flamingo will smile at the husky if it (the flamingo) works in agriculture. Rule43: Regarding the rhino, if it has a card whose color is one of the rainbow colors, then we can conclude that it does not swear to the pigeon. Rule44: If the elk suspects the truthfulness of the worm and the goose does not create one castle for the worm, then the worm will never destroy the wall built by the poodle. Rule45: From observing that an animal calls the swan, one can conclude the following: that animal does not leave the houses that are occupied by the starling. Rule46: If at least one animal leaves the houses occupied by the starling, then the swan calls the bison. Rule47: Regarding the camel, if it is more than 2 years old, then we can conclude that it unites with the dove. Rule48: If something does not unite with the german shepherd, then it destroys the wall constructed by the bulldog. Rule49: Regarding the ant, if it is in France at the moment, then we can conclude that it acquires a photograph of the songbird. Rule50: There exists an animal which smiles at the husky? Then, the bee definitely does not want to see the mannikin. Rule51: Regarding the shark, if it works in marketing, then we can conclude that it does not unite with the german shepherd. Rule52: The otter unquestionably pays money to the mouse, in the case where the crow reveals something that is supposed to be a secret to the otter. Rule53: If at least one animal unites with the dove, then the songbird surrenders to the bear. Rule12 is preferred over Rule33. Rule14 is preferred over Rule23. Rule2 is preferred over Rule1. Rule24 is preferred over Rule10. Rule24 is preferred over Rule42. Rule26 is preferred over Rule9. Rule27 is preferred over Rule19. Rule3 is preferred over Rule44. Rule32 is preferred over Rule30. Rule39 is preferred over Rule37. Rule4 is preferred over Rule46. Rule41 is preferred over Rule5. Rule45 is preferred over Rule8. Rule6 is preferred over Rule29. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the poodle reveal a secret to the dolphin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
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  {
    "dataset": "bbeh",
    "family": "28ea69441a400bd4c1fcbdf5aa1593a4ad82d2ed9d3a8044f74f737d06be0031",
    "id": "bbeh:boardgame_qa:127",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has four friends that are easy going and 4 friends that are not, and reduced her work hours recently. The bee manages to convince the finch. The duck is watching a movie from 2002. The gadwall captures the king of the camel. The lizard was born 5 years ago. The woodpecker has a card that is red in color. The worm dances with the pelikan. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, suspects the truthfulness of the butterfly, then the bear creates a castle for the vampire undoubtedly. Rule2: The living creature that enjoys the company of the husky will also create one castle for the stork, without a doubt. Rule3: Regarding the akita, if it has fewer than 14 friends, then we can conclude that it disarms the goose. Rule4: If the vampire refuses to help the bulldog, then the bulldog wants to see the basenji. Rule5: If you are positive that you saw one of the animals unites with the dragonfly, you can be certain that it will not create one castle for the stork. Rule6: If the badger captures the king (i.e. the most important piece) of the vampire, then the vampire is not going to refuse to help the bulldog. Rule7: There exists an animal which swims in the pool next to the house of the beetle? Then the stork definitely calls the seahorse. Rule8: The duck does not call the elk, in the case where the songbird destroys the wall constructed by the duck. Rule9: The pelikan unquestionably neglects the reindeer, in the case where the worm dances with the pelikan. Rule10: This is a basic rule: if the german shepherd surrenders to the mule, then the conclusion that \"the mule will not destroy the wall constructed by the snake\" follows immediately and effectively. Rule11: If the bear creates a castle for the vampire, then the vampire refuses to help the bulldog. Rule12: Here is an important piece of information about the woodpecker: if it has a card whose color starts with the letter \"r\" then it dances with the zebra for sure. Rule13: Here is an important piece of information about the lizard: if it is more than 2 years old then it invests in the company owned by the seal for sure. Rule14: There exists an animal which borrows a weapon from the dragon? Then the ant definitely enjoys the companionship of the stork. Rule15: If you are positive that one of the animals does not swim in the pool next to the house of the coyote, you can be certain that it will swim in the pool next to the house of the beetle without a doubt. Rule16: The basenji swims in the pool next to the house of the snake whenever at least one animal suspects the truthfulness of the swan. Rule17: In order to conclude that the stork suspects the truthfulness of the swan, two pieces of evidence are required: firstly the ant should enjoy the company of the stork and secondly the duck should not create one castle for the stork. Rule18: This is a basic rule: if the pelikan does not neglect the reindeer, then the conclusion that the reindeer suspects the truthfulness of the butterfly follows immediately and effectively. Rule19: If you are positive that one of the animals does not build a power plant near the green fields of the bison, you can be certain that it will not suspect the truthfulness of the butterfly. Rule20: There exists an animal which captures the king (i.e. the most important piece) of the camel? Then the songbird definitely destroys the wall built by the duck. Rule21: If the goose stops the victory of the snake, then the snake borrows a weapon from the dragon. Rule22: There exists an animal which invests in the company owned by the seal? Then, the poodle definitely does not swim inside the pool located besides the house of the coyote. Rule23: If you see that something swims in the pool next to the house of the snake and swears to the german shepherd, what can you certainly conclude? You can conclude that it also neglects the walrus. Rule24: One of the rules of the game is that if the bulldog wants to see the basenji, then the basenji will, without hesitation, swear to the german shepherd. Rule25: This is a basic rule: if the akita disarms the goose, then the conclusion that \"the goose stops the victory of the snake\" follows immediately and effectively. Rule26: If there is evidence that one animal, no matter which one, manages to persuade the finch, then the duck is not going to shout at the dugong. Rule27: The living creature that does not call the elk will unite with the dragonfly with no doubts. Rule28: The mule destroys the wall constructed by the snake whenever at least one animal dances with the zebra. Rule29: If the shark borrows a weapon from the songbird, then the songbird is not going to destroy the wall constructed by the duck. Rule10 is preferred over Rule28. Rule19 is preferred over Rule18. Rule2 is preferred over Rule5. Rule20 is preferred over Rule29. Rule6 is preferred over Rule11. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the basenji neglect the walrus? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "ebf060154ff03aa75fa4f4331e7645d4e5a426a9cac8096cf1b0b404924f26e6",
    "id": "bbeh:boardgame_qa:134",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The beetle destroys the wall constructed by the cougar. The dinosaur is watching a movie from 1792. The dinosaur is currently in Rome. The gadwall refuses to help the dolphin. The mule is named Teddy. The poodle suspects the truthfulness of the cobra. The swan has seven friends. And the rules of the game are as follows. Rule1: The rhino unquestionably swims inside the pool located besides the house of the reindeer, in the case where the vampire takes over the emperor of the rhino. Rule2: If the walrus suspects the truthfulness of the swallow, then the swallow invests in the company owned by the vampire. Rule3: The vampire unquestionably takes over the emperor of the rhino, in the case where the swallow invests in the company whose owner is the vampire. Rule4: For the crab, if you have two pieces of evidence 1) that chihuahua does not invest in the company whose owner is the crab and 2) that elk falls on a square of the crab, then you can add crab will never build a power plant near the green fields of the goose to your conclusions. Rule5: Here is an important piece of information about the dinosaur: if it is watching a movie that was released after the French revolution began then it falls on a square that belongs to the beetle for sure. Rule6: Here is an important piece of information about the dinosaur: if it is in Africa at the moment then it falls on a square that belongs to the beetle for sure. Rule7: There exists an animal which swims inside the pool located besides the house of the reindeer? Then the crab definitely builds a power plant close to the green fields of the goose. Rule8: This is a basic rule: if the duck wants to see the rhino, then the conclusion that \"the rhino creates one castle for the peafowl\" follows immediately and effectively. Rule9: The living creature that dances with the dalmatian will never borrow one of the weapons of the german shepherd. Rule10: If at least one animal leaves the houses that are occupied by the badger, then the german shepherd does not hide her cards from the elk. Rule11: If the lizard captures the king (i.e. the most important piece) of the swan, then the swan is not going to dance with the dalmatian. Rule12: If something destroys the wall built by the otter, then it dances with the dalmatian, too. Rule13: There exists an animal which unites with the ant? Then the swan definitely borrows one of the weapons of the german shepherd. Rule14: If something refuses to help the dolphin, then it destroys the wall built by the woodpecker, too. Rule15: From observing that an animal shouts at the fangtooth, one can conclude the following: that animal does not want to see the rhino. Rule16: There exists an animal which borrows a weapon from the bee? Then the duck definitely calls the monkey. Rule17: If the swan has fewer than 8 friends, then the swan destroys the wall built by the otter. Rule18: Here is an important piece of information about the swallow: if it has a name whose first letter is the same as the first letter of the mule's name then it does not suspect the truthfulness of the pelikan for sure. Rule19: One of the rules of the game is that if the swan does not borrow one of the weapons of the german shepherd, then the german shepherd will, without hesitation, hide the cards that she has from the elk. Rule20: If something falls on a square that belongs to the liger, then it enjoys the companionship of the swallow, too. Rule21: The elk does not pay some $$$ to the dachshund, in the case where the german shepherd hides her cards from the elk. Rule22: If there is evidence that one animal, no matter which one, negotiates a deal with the cobra, then the swallow suspects the truthfulness of the pelikan undoubtedly. Rule23: This is a basic rule: if the elk does not enjoy the companionship of the rhino, then the conclusion that the rhino will not create a castle for the peafowl follows immediately and effectively. Rule24: From observing that one animal falls on a square that belongs to the fangtooth, one can conclude that it also borrows one of the weapons of the bee, undoubtedly. Rule25: If you are positive that you saw one of the animals suspects the truthfulness of the pelikan, you can be certain that it will also stop the victory of the flamingo. Rule26: Are you certain that one of the animals does not borrow one of the weapons of the starling but it does create a castle for the peafowl? Then you can also be certain that the same animal does not swim inside the pool located besides the house of the reindeer. Rule27: If there is evidence that one animal, no matter which one, stops the victory of the flamingo, then the walrus suspects the truthfulness of the swallow undoubtedly. Rule28: If something pays some $$$ to the dachshund, then it falls on a square that belongs to the crab, too. Rule29: From observing that one animal calls the monkey, one can conclude that it also wants to see the rhino, undoubtedly. Rule30: From observing that one animal destroys the wall built by the cougar, one can conclude that it also falls on a square of the fangtooth, undoubtedly. Rule31: The seahorse falls on a square that belongs to the liger whenever at least one animal destroys the wall constructed by the woodpecker. Rule32: This is a basic rule: if the dinosaur falls on a square that belongs to the beetle, then the conclusion that \"the beetle will not borrow a weapon from the bee\" follows immediately and effectively. Rule10 is preferred over Rule19. Rule11 is preferred over Rule12. Rule13 is preferred over Rule9. Rule15 is preferred over Rule29. Rule18 is preferred over Rule22. Rule23 is preferred over Rule8. Rule24 is preferred over Rule32. Rule26 is preferred over Rule1. Rule4 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the crab build a power plant near the green fields of the goose? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "55ee19a40cfd1c18b5eb87ab3180f8ac95e3eb66b0d9a1aa3dc43120476ca25f",
    "id": "bbeh:boardgame_qa:137",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear is currently in Brazil, and is twenty months old. The dinosaur has 34 dollars. The dragonfly has 51 dollars. The finch struggles to find food. The goat has 68 dollars, and is currently in Brazil. The goat struggles to find food. The mannikin has 32 dollars. And the rules of the game are as follows. Rule1: This is a basic rule: if the fangtooth neglects the mermaid, then the conclusion that \"the mermaid will not refuse to help the liger\" follows immediately and effectively. Rule2: Regarding the bear, if it is less than 4 years old, then we can conclude that it shouts at the bulldog. Rule3: Here is an important piece of information about the dinosaur: if it has more money than the mannikin then it unites with the seal for sure. Rule4: The living creature that borrows one of the weapons of the seal will never take over the emperor of the dragonfly. Rule5: From observing that an animal does not swear to the woodpecker, one can conclude that it enjoys the companionship of the dragon. Rule6: This is a basic rule: if the beaver swims in the pool next to the house of the mermaid, then the conclusion that \"the mermaid refuses to help the liger\" follows immediately and effectively. Rule7: If the bear is in Turkey at the moment, then the bear shouts at the bulldog. Rule8: If something does not take over the emperor of the dragonfly and additionally not smile at the shark, then it shouts at the german shepherd. Rule9: The living creature that does not refuse to help the liger will never refuse to help the basenji. Rule10: If there is evidence that one animal, no matter which one, unites with the monkey, then the fangtooth wants to see the mermaid undoubtedly. Rule11: The swan unquestionably captures the king (i.e. the most important piece) of the basenji, in the case where the bulldog brings an oil tank for the swan. Rule12: Here is an important piece of information about the goat: if it has more money than the dragonfly then it does not swear to the woodpecker for sure. Rule13: If something takes over the emperor of the wolf, then it smiles at the shark, too. Rule14: One of the rules of the game is that if the finch captures the king of the gorilla, then the gorilla will, without hesitation, unite with the monkey. Rule15: Regarding the goat, if it is in South America at the moment, then we can conclude that it does not swear to the woodpecker. Rule16: One of the rules of the game is that if the ant does not take over the emperor of the goat, then the goat will never enjoy the companionship of the dragon. Rule17: Regarding the finch, if it has difficulty to find food, then we can conclude that it captures the king (i.e. the most important piece) of the gorilla. Rule18: The basenji will not smile at the shark, in the case where the mermaid does not refuse to help the basenji. Rule19: For the basenji, if the belief is that the swan captures the king (i.e. the most important piece) of the basenji and the rhino reveals a secret to the basenji, then you can add that \"the basenji is not going to neglect the cobra\" to your conclusions. Rule20: If you are positive that you saw one of the animals neglects the cobra, you can be certain that it will also borrow one of the weapons of the seal. Rule21: There exists an animal which enjoys the companionship of the dragon? Then the frog definitely dances with the basenji. Rule22: The bulldog unquestionably brings an oil tank for the swan, in the case where the bear shouts at the bulldog. Rule23: This is a basic rule: if the frog dances with the basenji, then the conclusion that \"the basenji neglects the cobra\" follows immediately and effectively. Rule16 is preferred over Rule5. Rule18 is preferred over Rule13. Rule23 is preferred over Rule19. Rule6 is preferred over Rule1. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the basenji shout at the german shepherd? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "3a6a60d20ac6039b016145de0f18aca5ae830fc0f59a16f0ecaf976d8bfadfce",
    "id": "bbeh:boardgame_qa:142",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita builds a power plant near the green fields of the swallow. The basenji has 26 dollars. The basenji has a knapsack. The dinosaur hides the cards that she has from the dachshund. The dolphin builds a power plant near the green fields of the snake. The elk has 57 dollars. The leopard refuses to help the bear. The mannikin surrenders to the liger. The otter is named Meadow, is watching a movie from 1932, and is a nurse. The starling is named Milo. The wolf has three friends, is watching a movie from 1981, is a teacher assistant, and is holding her keys. The zebra unites with the mouse. The coyote does not smile at the reindeer. The poodle does not trade one of its pieces with the leopard. And the rules of the game are as follows. Rule1: From observing that one animal builds a power plant close to the green fields of the snake, one can conclude that it also swears to the gorilla, undoubtedly. Rule2: If something does not smile at the reindeer, then it creates a castle for the swan. Rule3: Regarding the wolf, if it works in education, then we can conclude that it does not bring an oil tank for the beetle. Rule4: The living creature that manages to convince the frog will also call the fish, without a doubt. Rule5: The dachshund does not unite with the wolf, in the case where the dinosaur hides her cards from the dachshund. Rule6: If something reveals a secret to the pigeon, then it tears down the castle that belongs to the peafowl, too. Rule7: If something does not swear to the coyote, then it does not build a power plant close to the green fields of the seahorse. Rule8: The gorilla tears down the castle of the chinchilla whenever at least one animal negotiates a deal with the mule. Rule9: Regarding the basenji, if it is in Italy at the moment, then we can conclude that it does not dance with the shark. Rule10: The songbird unquestionably creates a castle for the gadwall, in the case where the gorilla does not destroy the wall built by the songbird. Rule11: If you are positive that you saw one of the animals brings an oil tank for the beetle, you can be certain that it will not destroy the wall constructed by the coyote. Rule12: One of the rules of the game is that if the songbird creates a castle for the gadwall, then the gadwall will never swim inside the pool located besides the house of the vampire. Rule13: If there is evidence that one animal, no matter which one, swears to the finch, then the ostrich is not going to pay money to the fish. Rule14: Regarding the basenji, if it has something to carry apples and oranges, then we can conclude that it dances with the shark. Rule15: If something does not destroy the wall constructed by the coyote, then it builds a power plant near the green fields of the seahorse. Rule16: From observing that an animal tears down the castle of the peafowl, one can conclude the following: that animal does not destroy the wall built by the songbird. Rule17: One of the rules of the game is that if the poodle does not trade one of the pieces in its possession with the leopard, then the leopard will never refuse to help the crab. Rule18: The ostrich unquestionably swears to the goat, in the case where the fish dances with the ostrich. Rule19: Regarding the wolf, if it has more than five friends, then we can conclude that it brings an oil tank for the beetle. Rule20: In order to conclude that the vampire does not hide her cards from the husky, two pieces of evidence are required: firstly that the gadwall will not swim in the pool next to the house of the vampire and secondly the dachshund smiles at the vampire. Rule21: If the leopard takes over the emperor of the gorilla, then the gorilla reveals something that is supposed to be a secret to the pigeon. Rule22: If something does not refuse to help the crab, then it takes over the emperor of the gorilla. Rule23: One of the rules of the game is that if the coyote calls the fish, then the fish will never dance with the ostrich. Rule24: The basenji will dance with the shark if it (the basenji) has more money than the elk. Rule25: If at least one animal unites with the mouse, then the swallow tears down the castle of the mermaid. Rule26: This is a basic rule: if the dolphin swears to the gorilla, then the conclusion that \"the gorilla swears to the ant\" follows immediately and effectively. Rule27: There exists an animal which builds a power plant near the green fields of the seahorse? Then the fish definitely dances with the ostrich. Rule28: Here is an important piece of information about the wolf: if it does not have her keys then it does not bring an oil tank for the beetle for sure. Rule29: This is a basic rule: if the seahorse tears down the castle that belongs to the dachshund, then the conclusion that \"the dachshund unites with the wolf\" follows immediately and effectively. Rule30: If there is evidence that one animal, no matter which one, pays money to the fish, then the dachshund smiles at the vampire undoubtedly. Rule31: There exists an animal which swears to the songbird? Then, the gorilla definitely does not swear to the ant. Rule32: Be careful when something tears down the castle of the chinchilla and also wants to see the dugong because in this case it will surely not tear down the castle of the peafowl (this may or may not be problematic). Rule33: If something swears to the goat, then it pays money to the fish, too. Rule34: If the otter surrenders to the mermaid, then the mermaid negotiates a deal with the mule. Rule35: If the otter has a name whose first letter is the same as the first letter of the starling's name, then the otter surrenders to the mermaid. Rule36: One of the rules of the game is that if the dachshund does not unite with the wolf, then the wolf will, without hesitation, destroy the wall built by the coyote. Rule37: If at least one animal dances with the shark, then the finch hides the cards that she has from the coyote. Rule38: If the wolf is watching a movie that was released after Zinedine Zidane was born, then the wolf brings an oil tank for the beetle. Rule39: If something creates one castle for the swan, then it manages to convince the frog, too. Rule40: Here is an important piece of information about the otter: if it is watching a movie that was released after world war 2 started then it surrenders to the mermaid for sure. Rule11 is preferred over Rule36. Rule13 is preferred over Rule33. Rule19 is preferred over Rule28. Rule19 is preferred over Rule3. Rule27 is preferred over Rule23. Rule29 is preferred over Rule5. Rule31 is preferred over Rule26. Rule32 is preferred over Rule6. Rule38 is preferred over Rule28. Rule38 is preferred over Rule3. Rule7 is preferred over Rule15. Rule9 is preferred over Rule14. Rule9 is preferred over Rule24. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the vampire hide the cards that she has from the husky? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "4585a1862276203624abd13a8325d0b59d1e07695dd979fc0ad52dde6a90857b",
    "id": "bbeh:boardgame_qa:148",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant borrows one of the weapons of the songbird. The badger acquires a photograph of the flamingo. The dove has a basketball with a diameter of 23 inches, and is watching a movie from 2014. The dragonfly assassinated the mayor. The dragonfly is currently in Paris. The husky suspects the truthfulness of the flamingo. The mouse smiles at the fangtooth. The worm refuses to help the peafowl. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, shouts at the dragon, then the bison swims in the pool next to the house of the crow undoubtedly. Rule2: If the bulldog refuses to help the zebra, then the zebra is not going to hug the duck. Rule3: The living creature that surrenders to the dolphin will also suspect the truthfulness of the gadwall, without a doubt. Rule4: If the dove is watching a movie that was released before Facebook was founded, then the dove builds a power plant close to the green fields of the fish. Rule5: If the elk swims inside the pool located besides the house of the bulldog, then the bulldog is not going to refuse to help the zebra. Rule6: If something swears to the dinosaur, then it disarms the cobra, too. Rule7: If you are positive that you saw one of the animals falls on a square of the shark, you can be certain that it will also suspect the truthfulness of the german shepherd. Rule8: If the wolf disarms the akita, then the akita enjoys the company of the cobra. Rule9: There exists an animal which swims inside the pool located besides the house of the crow? Then the cobra definitely falls on a square of the shark. Rule10: If the mouse smiles at the fangtooth, then the fangtooth brings an oil tank for the dachshund. Rule11: If at least one animal smiles at the bulldog, then the german shepherd dances with the crow. Rule12: Here is an important piece of information about the dragonfly: if it voted for the mayor then it does not destroy the wall built by the beaver for sure. Rule13: Here is an important piece of information about the dove: if it has a basketball that fits in a 32.8 x 24.8 x 29.1 inches box then it builds a power plant near the green fields of the fish for sure. Rule14: This is a basic rule: if the cobra suspects the truthfulness of the german shepherd, then the conclusion that \"the german shepherd surrenders to the dolphin\" follows immediately and effectively. Rule15: If there is evidence that one animal, no matter which one, borrows one of the weapons of the songbird, then the seal hugs the pigeon undoubtedly. Rule16: Here is an important piece of information about the dragonfly: if it is in France at the moment then it does not destroy the wall built by the beaver for sure. Rule17: If something does not take over the emperor of the cougar, then it does not tear down the castle of the dragonfly. Rule18: One of the rules of the game is that if the duck brings an oil tank for the lizard, then the lizard will, without hesitation, tear down the castle that belongs to the dragonfly. Rule19: If the beaver suspects the truthfulness of the duck, then the duck brings an oil tank for the lizard. Rule20: If the dove builds a power plant close to the green fields of the fish, then the fish shouts at the dragon. Rule21: The flamingo unquestionably stops the victory of the chinchilla, in the case where the husky suspects the truthfulness of the flamingo. Rule22: From observing that one animal refuses to help the peafowl, one can conclude that it also manages to persuade the crab, undoubtedly. Rule23: If there is evidence that one animal, no matter which one, disarms the llama, then the german shepherd is not going to surrender to the dolphin. Rule24: This is a basic rule: if the crab does not smile at the seahorse, then the conclusion that the seahorse will not disarm the cobra follows immediately and effectively. Rule25: There exists an animal which stops the victory of the chinchilla? Then the wolf definitely disarms the akita. Rule26: This is a basic rule: if the dragonfly does not destroy the wall built by the beaver, then the conclusion that the beaver takes over the emperor of the finch follows immediately and effectively. Rule27: From observing that an animal does not manage to convince the goose, one can conclude the following: that animal will not build a power plant close to the green fields of the fish. Rule28: If something takes over the emperor of the finch, then it suspects the truthfulness of the duck, too. Rule29: The seahorse swears to the dinosaur whenever at least one animal manages to convince the crab. Rule30: If something suspects the truthfulness of the gadwall and dances with the crow, then it will not negotiate a deal with the otter. Rule31: This is a basic rule: if the fangtooth brings an oil tank for the dachshund, then the conclusion that \"the dachshund will not build a power plant close to the green fields of the bison\" follows immediately and effectively. Rule32: The akita will not enjoy the companionship of the cobra, in the case where the woodpecker does not pay some $$$ to the akita. Rule33: The swan smiles at the bulldog whenever at least one animal tears down the castle of the dragonfly. Rule34: The bulldog refuses to help the zebra whenever at least one animal hugs the pigeon. Rule17 is preferred over Rule18. Rule23 is preferred over Rule14. Rule24 is preferred over Rule6. Rule27 is preferred over Rule13. Rule27 is preferred over Rule4. Rule32 is preferred over Rule8. Rule5 is preferred over Rule34. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the german shepherd negotiate a deal with the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "a8b32a80d335be552e448ac65e6b064fc656d2393fb02f310836b4946b82d6e5",
    "id": "bbeh:boardgame_qa:157",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita is watching a movie from 2023. The bear has 74 dollars, and has a club chair. The bear is currently in Antalya. The camel has 73 dollars. The crab is watching a movie from 1982. The gadwall is a physiotherapist. The german shepherd pays money to the elk. The mermaid has 44 dollars. The mule is a grain elevator operator. The ostrich has 66 dollars. The owl has a card that is red in color, has a computer, has a football with a radius of 28 inches, and is watching a movie from 2007. The stork has 76 dollars. The stork has a card that is white in color. The wolf acquires a photograph of the beetle. The mule does not stop the victory of the fish. And the rules of the game are as follows. Rule1: If you are positive that one of the animals does not create a castle for the songbird, you can be certain that it will disarm the goat without a doubt. Rule2: There exists an animal which destroys the wall constructed by the walrus? Then the beaver definitely manages to persuade the chinchilla. Rule3: If the bear does not enjoy the company of the fangtooth, then the fangtooth calls the coyote. Rule4: If there is evidence that one animal, no matter which one, invests in the company owned by the seal, then the dolphin is not going to trade one of its pieces with the butterfly. Rule5: If you are positive that one of the animals does not acquire a photo of the vampire, you can be certain that it will not unite with the leopard. Rule6: The worm surrenders to the dragonfly whenever at least one animal swims inside the pool located besides the house of the bison. Rule7: If something destroys the wall built by the pelikan, then it builds a power plant close to the green fields of the chihuahua, too. Rule8: If the liger suspects the truthfulness of the flamingo, then the flamingo hides the cards that she has from the chinchilla. Rule9: The living creature that leaves the houses that are occupied by the bee will also manage to convince the dragon, without a doubt. Rule10: For the frog, if the belief is that the chinchilla tears down the castle of the frog and the dalmatian builds a power plant near the green fields of the frog, then you can add that \"the frog is not going to want to see the pigeon\" to your conclusions. Rule11: The living creature that does not suspect the truthfulness of the otter will destroy the wall constructed by the pelikan with no doubts. Rule12: One of the rules of the game is that if the peafowl does not surrender to the dolphin, then the dolphin will, without hesitation, trade one of its pieces with the butterfly. Rule13: There exists an animal which creates a castle for the flamingo? Then, the chinchilla definitely does not capture the king of the crow. Rule14: If there is evidence that one animal, no matter which one, pays money to the llama, then the mannikin hides her cards from the shark undoubtedly. Rule15: The mule will not pay some $$$ to the llama if it (the mule) is in Turkey at the moment. Rule16: If the stork does not unite with the leopard, then the leopard does not suspect the truthfulness of the otter. Rule17: If the beaver manages to convince the chinchilla, then the chinchilla hugs the zebra. Rule18: If the stork has a card whose color starts with the letter \"w\", then the stork does not acquire a photo of the vampire. Rule19: One of the rules of the game is that if the swallow brings an oil tank for the fangtooth, then the fangtooth will never call the coyote. Rule20: If there is evidence that one animal, no matter which one, swears to the poodle, then the chinchilla is not going to tear down the castle of the frog. Rule21: There exists an animal which hides her cards from the shark? Then the liger definitely suspects the truthfulness of the flamingo. Rule22: This is a basic rule: if the dragon does not create one castle for the dalmatian, then the conclusion that the dalmatian builds a power plant near the green fields of the frog follows immediately and effectively. Rule23: The butterfly unquestionably swims in the pool next to the house of the leopard, in the case where the dolphin trades one of its pieces with the butterfly. Rule24: If you see that something does not invest in the company whose owner is the swan but it hugs the zebra, what can you certainly conclude? You can conclude that it also tears down the castle that belongs to the frog. Rule25: This is a basic rule: if the crab brings an oil tank for the peafowl, then the conclusion that \"the peafowl will not surrender to the dolphin\" follows immediately and effectively. Rule26: There exists an animal which hugs the badger? Then, the cobra definitely does not refuse to help the dragon. Rule27: If there is evidence that one animal, no matter which one, builds a power plant near the green fields of the chihuahua, then the dragon is not going to create a castle for the dalmatian. Rule28: Regarding the bear, if it is in Turkey at the moment, then we can conclude that it does not enjoy the companionship of the fangtooth. Rule29: If the mule works in healthcare, then the mule does not pay money to the llama. Rule30: One of the rules of the game is that if the flamingo hides the cards that she has from the chinchilla, then the chinchilla will, without hesitation, capture the king of the crow. Rule31: If something builds a power plant near the green fields of the husky, then it destroys the wall constructed by the fangtooth, too. Rule32: If you are positive that you saw one of the animals acquires a photograph of the beetle, you can be certain that it will not create a castle for the bulldog. Rule33: The dove destroys the wall built by the walrus whenever at least one animal surrenders to the dragonfly. Rule34: If the owl is watching a movie that was released before Shaquille O'Neal retired, then the owl trades one of its pieces with the cougar. Rule35: If something does not stop the victory of the fish, then it pays money to the llama. Rule36: This is a basic rule: if the cobra does not refuse to help the dragon, then the conclusion that the dragon will not capture the king (i.e. the most important piece) of the woodpecker follows immediately and effectively. Rule37: The living creature that does not acquire a photo of the dachshund will never swim in the pool next to the house of the leopard. Rule38: The living creature that invests in the company owned by the starling will never unite with the leopard. Rule39: This is a basic rule: if the akita destroys the wall built by the fangtooth, then the conclusion that \"the fangtooth will not leave the houses occupied by the bee\" follows immediately and effectively. Rule40: Regarding the stork, if it has more money than the ostrich and the mermaid combined, then we can conclude that it does not acquire a photograph of the vampire. Rule41: Here is an important piece of information about the akita: if it is watching a movie that was released after covid started then it builds a power plant close to the green fields of the husky for sure. Rule42: If the crab is watching a movie that was released before the Berlin wall fell, then the crab brings an oil tank for the peafowl. Rule43: Here is an important piece of information about the owl: if it has a football that fits in a 54.6 x 62.8 x 51.6 inches box then it trades one of its pieces with the cougar for sure. Rule44: If the gadwall works in healthcare, then the gadwall does not disarm the goat. Rule45: If the owl trades one of the pieces in its possession with the cougar, then the cougar swims inside the pool located besides the house of the bison. Rule46: One of the rules of the game is that if the butterfly swims inside the pool located besides the house of the leopard, then the leopard will never build a power plant near the green fields of the chihuahua. Rule47: From observing that one animal calls the coyote, one can conclude that it also leaves the houses occupied by the bee, undoubtedly. Rule48: If the wolf does not create a castle for the bulldog, then the bulldog does not trade one of the pieces in its possession with the reindeer. Rule49: From observing that an animal does not trade one of its pieces with the reindeer, one can conclude that it hugs the badger. Rule50: If the coyote disarms the fangtooth, then the fangtooth is not going to manage to persuade the dragon. Rule51: If the gadwall does not disarm the goat, then the goat invests in the company whose owner is the starling. Rule52: The bear will enjoy the companionship of the fangtooth if it (the bear) has a device to connect to the internet. Rule53: From observing that an animal does not pay some $$$ to the bear, one can conclude the following: that animal will not build a power plant close to the green fields of the frog. Rule54: If you are positive that you saw one of the animals captures the king (i.e. the most important piece) of the crow, you can be certain that it will not invest in the company owned by the swan. Rule1 is preferred over Rule44. Rule13 is preferred over Rule30. Rule15 is preferred over Rule35. Rule19 is preferred over Rule3. Rule20 is preferred over Rule24. Rule28 is preferred over Rule52. Rule29 is preferred over Rule35. Rule37 is preferred over Rule23. Rule4 is preferred over Rule12. Rule47 is preferred over Rule39. Rule50 is preferred over Rule9. Rule53 is preferred over Rule22. Rule7 is preferred over Rule46. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the frog want to see the pigeon? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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  },
  {
    "dataset": "bbeh",
    "family": "09eded8250bd5c33df941c8000cf952bb8f0a41666bec14a0bc9a9385244c6cf",
    "id": "bbeh:boardgame_qa:164",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee manages to convince the walrus. The bison shouts at the finch but does not acquire a photograph of the finch. The crow destroys the wall constructed by the pelikan, and negotiates a deal with the seal. The crow has a basketball with a diameter of 28 inches. The dragon surrenders to the fish. The dragonfly is 16 months old. The elk has 40 dollars. The fish was born two years ago. The flamingo has a card that is black in color, and reduced her work hours recently. The goat has 50 dollars. The gorilla creates one castle for the seahorse. The otter pays money to the pigeon. The owl has a bench, and has a card that is violet in color. The songbird builds a power plant near the green fields of the bear. The starling borrows one of the weapons of the woodpecker, and has a card that is green in color. The swallow is watching a movie from 1978. The swan enjoys the company of the stork. The dove does not leave the houses occupied by the dragonfly. The rhino does not bring an oil tank for the pigeon. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, pays money to the crab, then the fangtooth invests in the company owned by the vampire undoubtedly. Rule2: If you are positive that you saw one of the animals creates one castle for the seahorse, you can be certain that it will also manage to persuade the vampire. Rule3: If the crow has a basketball that fits in a 30.8 x 30.9 x 19.5 inches box, then the crow does not enjoy the companionship of the seal. Rule4: One of the rules of the game is that if the crow negotiates a deal with the dragonfly, then the dragonfly will never leave the houses that are occupied by the dove. Rule5: If there is evidence that one animal, no matter which one, builds a power plant close to the green fields of the mermaid, then the dragonfly leaves the houses that are occupied by the dove undoubtedly. Rule6: Here is an important piece of information about the fish: if it is more than five and a half years old then it does not acquire a photo of the stork for sure. Rule7: This is a basic rule: if the rhino does not bring an oil tank for the pigeon, then the conclusion that the pigeon refuses to help the monkey follows immediately and effectively. Rule8: From observing that one animal enjoys the company of the seal, one can conclude that it also unites with the bison, undoubtedly. Rule9: This is a basic rule: if the dove does not leave the houses that are occupied by the dragonfly, then the conclusion that the dragonfly will not dance with the basenji follows immediately and effectively. Rule10: The living creature that shouts at the finch will never reveal a secret to the gadwall. Rule11: If at least one animal leaves the houses that are occupied by the dove, then the cougar does not swim in the pool next to the house of the basenji. Rule12: If you are positive that you saw one of the animals borrows one of the weapons of the ostrich, you can be certain that it will also tear down the castle that belongs to the mouse. Rule13: If you are positive that you saw one of the animals negotiates a deal with the seal, you can be certain that it will also enjoy the company of the seal. Rule14: If at least one animal calls the chihuahua, then the liger unites with the stork. Rule15: If the otter pays money to the pigeon, then the pigeon is not going to refuse to help the monkey. Rule16: One of the rules of the game is that if the goat does not borrow a weapon from the fish, then the fish will, without hesitation, borrow a weapon from the german shepherd. Rule17: If you are positive that one of the animals does not build a power plant near the green fields of the duck, you can be certain that it will tear down the castle of the poodle without a doubt. Rule18: This is a basic rule: if the coyote smiles at the chinchilla, then the conclusion that \"the chinchilla will not hug the frog\" follows immediately and effectively. Rule19: This is a basic rule: if the chinchilla does not hug the frog, then the conclusion that the frog takes over the emperor of the badger follows immediately and effectively. Rule20: If there is evidence that one animal, no matter which one, refuses to help the bulldog, then the ant refuses to help the mule undoubtedly. Rule21: The pigeon swears to the dolphin whenever at least one animal falls on a square that belongs to the rhino. Rule22: The basenji unquestionably dances with the dragonfly, in the case where the crow builds a power plant close to the green fields of the basenji. Rule23: Here is an important piece of information about the starling: if it has a card whose color is one of the rainbow colors then it stops the victory of the woodpecker for sure. Rule24: The worm trades one of its pieces with the mannikin whenever at least one animal unites with the zebra. Rule25: If at least one animal builds a power plant close to the green fields of the bear, then the flamingo manages to persuade the husky. Rule26: There exists an animal which captures the king of the dinosaur? Then, the akita definitely does not destroy the wall built by the flamingo. Rule27: If there is evidence that one animal, no matter which one, hides her cards from the worm, then the reindeer takes over the emperor of the llama undoubtedly. Rule28: The swallow will stop the victory of the beaver if it (the swallow) is watching a movie that was released after Zinedine Zidane was born. Rule29: Regarding the owl, if it has a card whose color starts with the letter \"v\", then we can conclude that it refuses to help the bulldog. Rule30: If you are positive that one of the animals does not swear to the dolphin, you can be certain that it will not build a power plant near the green fields of the duck. Rule31: This is a basic rule: if the badger refuses to help the coyote, then the conclusion that \"the coyote will not smile at the chinchilla\" follows immediately and effectively. Rule32: If something does not hug the seal, then it does not call the peafowl. Rule33: One of the rules of the game is that if the liger unites with the stork, then the stork will, without hesitation, hide the cards that she has from the worm. Rule34: Regarding the owl, if it has a device to connect to the internet, then we can conclude that it refuses to help the bulldog. Rule35: If there is evidence that one animal, no matter which one, tears down the castle of the poodle, then the seahorse refuses to help the akita undoubtedly. Rule36: If there is evidence that one animal, no matter which one, brings an oil tank for the gadwall, then the crow negotiates a deal with the dragonfly undoubtedly. Rule37: If you are positive that you saw one of the animals wants to see the shark, you can be certain that it will not capture the king (i.e. the most important piece) of the dinosaur. Rule38: If something takes over the emperor of the swan, then it does not unite with the stork. Rule39: If something destroys the wall constructed by the flamingo and reveals a secret to the butterfly, then it calls the peafowl. Rule40: From observing that one animal borrows a weapon from the german shepherd, one can conclude that it also calls the chihuahua, undoubtedly. Rule41: From observing that an animal does not swim inside the pool located besides the house of the basenji, one can conclude that it takes over the emperor of the akita. Rule42: If something does not shout at the leopard, then it does not invest in the company whose owner is the vampire. Rule43: The fish will not acquire a photograph of the stork if it (the fish) works fewer hours than before. Rule44: From observing that an animal negotiates a deal with the starling, one can conclude the following: that animal does not take over the emperor of the badger. Rule45: This is a basic rule: if the ant does not unite with the wolf, then the conclusion that the wolf borrows a weapon from the ostrich follows immediately and effectively. Rule46: There exists an animal which enjoys the company of the stork? Then, the goat definitely does not borrow a weapon from the fish. Rule47: The akita reveals something that is supposed to be a secret to the butterfly whenever at least one animal takes over the emperor of the llama. Rule48: If you are positive that you saw one of the animals dances with the dragonfly, you can be certain that it will also build a power plant close to the green fields of the mermaid. Rule49: If there is evidence that one animal, no matter which one, neglects the cobra, then the wolf is not going to tear down the castle of the mouse. Rule50: From observing that one animal manages to persuade the vampire, one can conclude that it also leaves the houses occupied by the dachshund, undoubtedly. Rule51: The ant enjoys the companionship of the wolf whenever at least one animal refuses to help the beetle. Rule52: If there is evidence that one animal, no matter which one, invests in the company whose owner is the vampire, then the dugong borrows a weapon from the akita undoubtedly. Rule53: If there is evidence that one animal, no matter which one, takes over the emperor of the badger, then the butterfly wants to see the shark undoubtedly. Rule54: If there is evidence that one animal, no matter which one, stops the victory of the beaver, then the camel swims inside the pool located besides the house of the swallow undoubtedly. Rule55: If the dragon surrenders to the fish, then the fish acquires a photograph of the stork. Rule56: If you are positive that one of the animals does not reveal a secret to the gadwall, you can be certain that it will bring an oil tank for the gadwall without a doubt. Rule57: In order to conclude that the akita tears down the castle that belongs to the dalmatian, two pieces of evidence are required: firstly the dugong should borrow one of the weapons of the akita and secondly the seahorse should refuse to help the akita. Rule58: Regarding the crow, if it has a high-quality paper, then we can conclude that it does not enjoy the companionship of the seal. Rule59: Here is an important piece of information about the dragonfly: if it is in France at the moment then it dances with the basenji for sure. Rule60: From observing that an animal stops the victory of the goose, one can conclude the following: that animal does not refuse to help the beetle. Rule61: If something manages to persuade the husky, then it swears to the gorilla, too. Rule62: From observing that one animal tears down the castle that belongs to the dalmatian, one can conclude that it also destroys the wall constructed by the flamingo, undoubtedly. Rule63: If there is evidence that one animal, no matter which one, swims inside the pool located besides the house of the swallow, then the cougar unites with the zebra undoubtedly. Rule64: If the goat has more money than the cougar and the elk combined, then the goat borrows a weapon from the fish. Rule65: The butterfly does not want to see the shark, in the case where the chinchilla refuses to help the butterfly. Rule66: If there is evidence that one animal, no matter which one, tears down the castle that belongs to the mouse, then the butterfly captures the king (i.e. the most important piece) of the dinosaur undoubtedly. Rule67: If something refuses to help the monkey, then it does not swear to the dolphin. Rule68: The coyote smiles at the chinchilla whenever at least one animal stops the victory of the woodpecker. Rule69: If you are positive that you saw one of the animals manages to convince the walrus, you can be certain that it will also refuse to help the beetle. Rule70: If you are positive that you saw one of the animals leaves the houses that are occupied by the dachshund, you can be certain that it will also pay money to the crab. Rule71: The living creature that takes over the emperor of the snake will never take over the emperor of the akita. Rule72: Here is an important piece of information about the dragonfly: if it is less than 13 months old then it dances with the basenji for sure. Rule73: If something enjoys the companionship of the wolf, then it does not unite with the wolf. Rule74: The seahorse will not refuse to help the akita, in the case where the lizard does not swear to the seahorse. Rule75: If something destroys the wall built by the pelikan, then it builds a power plant close to the green fields of the basenji, too. Rule21 is preferred over Rule67. Rule3 is preferred over Rule13. Rule31 is preferred over Rule68. Rule32 is preferred over Rule39. Rule38 is preferred over Rule14. Rule42 is preferred over Rule1. Rule43 is preferred over Rule55. Rule44 is preferred over Rule19. Rule49 is preferred over Rule12. Rule5 is preferred over Rule4. Rule58 is preferred over Rule13. Rule59 is preferred over Rule9. Rule6 is preferred over Rule55. Rule60 is preferred over Rule69. Rule62 is preferred over Rule26. Rule64 is preferred over Rule46. Rule65 is preferred over Rule53. Rule66 is preferred over Rule37. Rule7 is preferred over Rule15. Rule71 is preferred over Rule41. Rule72 is preferred over Rule9. Rule74 is preferred over Rule35. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the akita call the peafowl? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "d062c53b32d824710afc2075b3014a8bc53779787096e9ed3aa0900f5a002d47",
    "id": "bbeh:boardgame_qa:166",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita destroys the wall constructed by the chihuahua. The chihuahua is named Lola, and is watching a movie from 1992. The chihuahua is currently in Argentina, and does not neglect the woodpecker. The coyote is named Mojo. The mannikin shouts at the crab. The wolf has a football with a radius of 20 inches. And the rules of the game are as follows. Rule1: If you see that something stops the victory of the dugong but does not trade one of its pieces with the mouse, what can you certainly conclude? You can conclude that it reveals something that is supposed to be a secret to the peafowl. Rule2: If something brings an oil tank for the husky, then it swears to the goose, too. Rule3: The chinchilla unquestionably neglects the butterfly, in the case where the wolf shouts at the chinchilla. Rule4: The chihuahua unquestionably stops the victory of the dugong, in the case where the akita destroys the wall built by the chihuahua. Rule5: From observing that an animal captures the king (i.e. the most important piece) of the dragonfly, one can conclude the following: that animal does not neglect the butterfly. Rule6: If something negotiates a deal with the pigeon, then it does not bring an oil tank for the husky. Rule7: If something does not neglect the woodpecker, then it does not trade one of the pieces in its possession with the mouse. Rule8: If something pays money to the ostrich, then it trades one of its pieces with the mouse, too. Rule9: Regarding the chihuahua, if it is in South America at the moment, then we can conclude that it does not dance with the bee. Rule10: If you are positive that one of the animals does not surrender to the peafowl, you can be certain that it will not leave the houses that are occupied by the gorilla. Rule11: From observing that one animal swears to the goose, one can conclude that it also swims inside the pool located besides the house of the owl, undoubtedly. Rule12: The wolf will shout at the chinchilla if it (the wolf) has a football that fits in a 46.3 x 48.9 x 49.3 inches box. Rule13: If at least one animal neglects the butterfly, then the peafowl refuses to help the dragon. Rule14: If there is evidence that one animal, no matter which one, refuses to help the dragon, then the dachshund leaves the houses occupied by the gorilla undoubtedly. Rule15: If at least one animal refuses to help the flamingo, then the vampire acquires a photograph of the peafowl. Rule16: If at least one animal shouts at the crab, then the llama refuses to help the flamingo. Rule17: This is a basic rule: if the gorilla negotiates a deal with the walrus, then the conclusion that \"the walrus brings an oil tank for the husky\" follows immediately and effectively. Rule18: One of the rules of the game is that if the dachshund leaves the houses that are occupied by the gorilla, then the gorilla will, without hesitation, negotiate a deal with the walrus. Rule10 is preferred over Rule14. Rule5 is preferred over Rule3. Rule6 is preferred over Rule17. Rule8 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the walrus swim in the pool next to the house of the owl? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "5fb3d8aa01efe6e6919af3cc144f199ec9f6ae8b086be989e74747d8a0e80657",
    "id": "bbeh:boardgame_qa:168",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee has a card that is white in color. The chinchilla has three friends. The crab surrenders to the wolf. The crow has a knapsack. The crow is three years old. The fish has 96 dollars. The frog has 14 dollars. The llama is 11 months old, and is a dentist. The mermaid is watching a movie from 1984, and does not swim in the pool next to the house of the rhino. The monkey has 7 friends, and is a grain elevator operator. The ostrich smiles at the worm. The owl has 55 dollars. The swallow has 78 dollars. The swallow hugs the seal. The wolf has 74 dollars, and has a card that is indigo in color. The chinchilla does not swim in the pool next to the house of the dolphin. And the rules of the game are as follows. Rule1: If something refuses to help the bear, then it does not trade one of the pieces in its possession with the peafowl. Rule2: The swan unquestionably hugs the cobra, in the case where the crow tears down the castle of the swan. Rule3: The living creature that does not trade one of the pieces in its possession with the peafowl will trade one of the pieces in its possession with the stork with no doubts. Rule4: If you are positive that one of the animals does not swim in the pool next to the house of the dolphin, you can be certain that it will dance with the peafowl without a doubt. Rule5: If the poodle does not bring an oil tank for the snake, then the snake does not dance with the otter. Rule6: If at least one animal creates one castle for the beaver, then the woodpecker captures the king (i.e. the most important piece) of the beetle. Rule7: If something refuses to help the badger, then it shouts at the dragonfly, too. Rule8: The wolf unquestionably creates a castle for the beaver, in the case where the crab surrenders to the wolf. Rule9: If there is evidence that one animal, no matter which one, tears down the castle of the bison, then the bee refuses to help the badger undoubtedly. Rule10: If the flamingo smiles at the bee, then the bee shouts at the beetle. Rule11: Regarding the swallow, if it has more money than the owl and the frog combined, then we can conclude that it does not surrender to the woodpecker. Rule12: If something does not shout at the beetle but reveals something that is supposed to be a secret to the zebra, then it will not trade one of the pieces in its possession with the stork. Rule13: There exists an animal which wants to see the goat? Then the finch definitely captures the king of the pigeon. Rule14: If you are positive that you saw one of the animals dances with the otter, you can be certain that it will also stop the victory of the chinchilla. Rule15: The bee will not reveal a secret to the zebra, in the case where the coyote does not unite with the bee. Rule16: If the bee does not trade one of the pieces in its possession with the stork but the beetle trades one of the pieces in its possession with the stork, then the stork wants to see the goat unavoidably. Rule17: If there is evidence that one animal, no matter which one, stops the victory of the chinchilla, then the mannikin acquires a photograph of the beetle undoubtedly. Rule18: If the llama is more than 23 months old, then the llama shouts at the monkey. Rule19: If something reveals a secret to the goat, then it trades one of its pieces with the beetle, too. Rule20: The dove does not suspect the truthfulness of the lizard whenever at least one animal invests in the company owned by the shark. Rule21: If the monkey works in agriculture, then the monkey reveals a secret to the goat. Rule22: There exists an animal which manages to persuade the duck? Then the leopard definitely builds a power plant close to the green fields of the chihuahua. Rule23: If you are positive that one of the animals does not invest in the company whose owner is the mannikin, you can be certain that it will refuse to help the bear without a doubt. Rule24: Regarding the chinchilla, if it has more than 6 friends, then we can conclude that it does not dance with the peafowl. Rule25: If the dove does not suspect the truthfulness of the lizard, then the lizard manages to persuade the duck. Rule26: The chinchilla will not dance with the peafowl if it (the chinchilla) works in healthcare. Rule27: If at least one animal dances with the peafowl, then the snake dances with the otter. Rule28: The bee will not neglect the badger if it (the bee) has a card whose color appears in the flag of Italy. Rule29: If you are positive that one of the animals does not swim in the pool next to the house of the rhino, you can be certain that it will tear down the castle of the bison without a doubt. Rule30: If the woodpecker captures the king of the beetle, then the beetle is not going to invest in the company owned by the mannikin. Rule31: The living creature that shouts at the dragonfly will also want to see the fangtooth, without a doubt. Rule32: If the woodpecker does not create a castle for the beetle, then the beetle does not trade one of the pieces in its possession with the stork. Rule33: The llama does not shout at the monkey whenever at least one animal smiles at the husky. Rule34: From observing that an animal wants to see the fangtooth, one can conclude the following: that animal does not shout at the beetle. Rule35: Regarding the llama, if it works in healthcare, then we can conclude that it shouts at the monkey. Rule36: Regarding the crow, if it has something to drink, then we can conclude that it tears down the castle of the swan. Rule37: The worm unquestionably invests in the company whose owner is the shark, in the case where the ostrich smiles at the worm. Rule38: Here is an important piece of information about the worm: if it works in healthcare then it does not invest in the company whose owner is the shark for sure. Rule39: Here is an important piece of information about the crow: if it is more than one year old then it tears down the castle that belongs to the swan for sure. Rule40: The monkey will reveal something that is supposed to be a secret to the goat if it (the monkey) has more than 13 friends. Rule41: The swallow reveals something that is supposed to be a secret to the beetle whenever at least one animal hugs the cobra. Rule42: The bee reveals something that is supposed to be a secret to the zebra whenever at least one animal builds a power plant near the green fields of the chihuahua. Rule10 is preferred over Rule34. Rule15 is preferred over Rule42. Rule24 is preferred over Rule4. Rule26 is preferred over Rule4. Rule32 is preferred over Rule3. Rule33 is preferred over Rule18. Rule33 is preferred over Rule35. Rule38 is preferred over Rule37. Rule5 is preferred over Rule27. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the finch capture the king of the pigeon? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "90699b843c9116002823ddd397bb943fc2b0e50a3011594f04513a066d0953d3",
    "id": "bbeh:boardgame_qa:174",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita swears to the fish. The gadwall trades one of its pieces with the swan. The german shepherd is 3 and a half years old. The german shepherd is currently in Istanbul. The gorilla creates one castle for the flamingo but does not destroy the wall constructed by the cougar. The liger is 5 years old, and shouts at the mouse. The chihuahua does not want to see the camel. And the rules of the game are as follows. Rule1: From observing that an animal does not destroy the wall constructed by the rhino, one can conclude that it dances with the mule. Rule2: There exists an animal which trades one of the pieces in its possession with the swan? Then the beetle definitely hides the cards that she has from the mermaid. Rule3: If you are positive that you saw one of the animals shouts at the mouse, you can be certain that it will also destroy the wall built by the elk. Rule4: There exists an animal which suspects the truthfulness of the swan? Then the basenji definitely swims in the pool next to the house of the snake. Rule5: From observing that one animal disarms the swallow, one can conclude that it also disarms the goose, undoubtedly. Rule6: If something does not destroy the wall built by the cougar, then it destroys the wall constructed by the rhino. Rule7: From observing that one animal borrows a weapon from the vampire, one can conclude that it also reveals a secret to the frog, undoubtedly. Rule8: There exists an animal which borrows a weapon from the dragon? Then the ant definitely enjoys the company of the stork. Rule9: This is a basic rule: if the liger reveals something that is supposed to be a secret to the frog, then the conclusion that \"the frog calls the shark\" follows immediately and effectively. Rule10: If you are positive that you saw one of the animals surrenders to the mouse, you can be certain that it will also borrow one of the weapons of the vampire. Rule11: If you are positive that you saw one of the animals swims inside the pool located besides the house of the worm, you can be certain that it will also borrow one of the weapons of the beetle. Rule12: There exists an animal which manages to convince the dove? Then the chinchilla definitely captures the king of the duck. Rule13: One of the rules of the game is that if the akita disarms the goose, then the goose will, without hesitation, stop the victory of the snake. Rule14: This is a basic rule: if the bulldog invests in the company whose owner is the mule, then the conclusion that \"the mule will not destroy the wall built by the snake\" follows immediately and effectively. Rule15: Here is an important piece of information about the german shepherd: if it is in Turkey at the moment then it suspects the truthfulness of the woodpecker for sure. Rule16: From observing that one animal swears to the fish, one can conclude that it also disarms the swallow, undoubtedly. Rule17: If something does not want to see the camel, then it tears down the castle of the finch. Rule18: There exists an animal which tears down the castle of the finch? Then the poodle definitely swims in the pool next to the house of the worm. Rule19: Regarding the german shepherd, if it is less than 21 months old, then we can conclude that it suspects the truthfulness of the woodpecker. Rule20: If something creates a castle for the flamingo, then it does not destroy the wall built by the rhino. Rule21: One of the rules of the game is that if the frog calls the shark, then the shark will, without hesitation, hug the dachshund. Rule22: If at least one animal hugs the dachshund, then the basenji swears to the german shepherd. Rule23: The living creature that creates a castle for the leopard will also refuse to help the german shepherd, without a doubt. Rule24: If the chinchilla captures the king of the duck, then the duck is not going to shout at the starling. Rule25: If at least one animal captures the king of the husky, then the reindeer creates a castle for the leopard. Rule26: If the stork does not fall on a square of the akita, then the akita does not disarm the goose. Rule27: For the stork, if the belief is that the ant enjoys the companionship of the stork and the duck does not create a castle for the stork, then you can add \"the stork suspects the truthfulness of the swan\" to your conclusions. Rule28: The woodpecker unquestionably captures the king of the husky, in the case where the german shepherd suspects the truthfulness of the woodpecker. Rule29: If you are positive that you saw one of the animals hides the cards that she has from the mermaid, you can be certain that it will also manage to persuade the dove. Rule30: Are you certain that one of the animals swears to the german shepherd and also at the same time swims inside the pool located besides the house of the snake? Then you can also be certain that the same animal neglects the walrus. Rule31: If something destroys the wall constructed by the elk, then it surrenders to the mouse, too. Rule32: If something does not shout at the starling, then it does not create one castle for the stork. Rule33: If the gorilla dances with the mule, then the mule destroys the wall built by the snake. Rule34: If at least one animal refuses to help the german shepherd, then the stork calls the seahorse. Rule35: One of the rules of the game is that if the goose stops the victory of the snake, then the snake will, without hesitation, borrow a weapon from the dragon. Rule36: If you are positive that you saw one of the animals smiles at the peafowl, you can be certain that it will not hug the dachshund. Rule14 is preferred over Rule33. Rule20 is preferred over Rule6. Rule26 is preferred over Rule5. Rule36 is preferred over Rule21. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the basenji neglect the walrus? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "b559f02efab084d6a112ffeadd2970dcaa3e213d00065d2e01501680b334abd9",
    "id": "bbeh:boardgame_qa:175",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The dinosaur has 91 dollars. The dinosaur is a dentist. The flamingo has a card that is orange in color, and has four friends that are kind and 5 friends that are not. The frog dances with the starling. The goat has 71 dollars. The husky is named Peddi. The owl is named Pablo. The peafowl is watching a movie from 1993. The seal creates one castle for the chihuahua. The swallow brings an oil tank for the monkey. The vampire swears to the flamingo. The leopard does not capture the king of the bison. And the rules of the game are as follows. Rule1: Regarding the dinosaur, if it works in education, then we can conclude that it unites with the crow. Rule2: If you are positive that one of the animals does not pay some $$$ to the llama, you can be certain that it will shout at the german shepherd without a doubt. Rule3: From observing that an animal does not tear down the castle that belongs to the fish, one can conclude that it manages to convince the chinchilla. Rule4: Here is an important piece of information about the peafowl: if it is watching a movie that was released after the Berlin wall fell then it does not smile at the liger for sure. Rule5: The flamingo enjoys the company of the finch whenever at least one animal captures the king of the wolf. Rule6: If the owl has a name whose first letter is the same as the first letter of the husky's name, then the owl enjoys the company of the flamingo. Rule7: If you are positive that you saw one of the animals brings an oil tank for the monkey, you can be certain that it will also invest in the company owned by the gorilla. Rule8: If you see that something does not trade one of the pieces in its possession with the reindeer and also does not destroy the wall built by the otter, what can you certainly conclude? You can conclude that it also does not enjoy the companionship of the finch. Rule9: There exists an animal which hugs the seahorse? Then the peafowl definitely negotiates a deal with the bison. Rule10: The owl does not enjoy the companionship of the flamingo, in the case where the mouse pays money to the owl. Rule11: The badger hugs the seahorse whenever at least one animal acquires a photograph of the dragonfly. Rule12: If you are positive that you saw one of the animals negotiates a deal with the bison, you can be certain that it will also shout at the worm. Rule13: The living creature that does not smile at the liger will create one castle for the poodle with no doubts. Rule14: This is a basic rule: if the bear shouts at the german shepherd, then the conclusion that \"the german shepherd will not tear down the castle that belongs to the fish\" follows immediately and effectively. Rule15: The bear destroys the wall built by the cobra whenever at least one animal brings an oil tank for the woodpecker. Rule16: One of the rules of the game is that if the leopard does not capture the king (i.e. the most important piece) of the bison, then the bison will, without hesitation, acquire a photograph of the dragonfly. Rule17: The flamingo does not destroy the wall built by the otter whenever at least one animal invests in the company whose owner is the beetle. Rule18: There exists an animal which unites with the crow? Then, the swan definitely does not hug the bear. Rule19: If there is evidence that one animal, no matter which one, dances with the starling, then the dalmatian is not going to fall on a square of the coyote. Rule20: The living creature that unites with the leopard will never shout at the worm. Rule21: If something creates a castle for the poodle, then it unites with the leopard, too. Rule22: This is a basic rule: if the german shepherd manages to convince the chinchilla, then the conclusion that \"the chinchilla acquires a photo of the stork\" follows immediately and effectively. Rule23: The living creature that wants to see the dragonfly will never negotiate a deal with the bison. Rule24: If there is evidence that one animal, no matter which one, invests in the company owned by the gorilla, then the finch captures the king (i.e. the most important piece) of the wolf undoubtedly. Rule25: Here is an important piece of information about the flamingo: if it has fewer than 4 friends then it does not shout at the coyote for sure. Rule26: The flamingo will not shout at the coyote if it (the flamingo) has a card whose color is one of the rainbow colors. Rule27: There exists an animal which calls the goose? Then the fish definitely tears down the castle that belongs to the german shepherd. Rule28: The dinosaur will unite with the crow if it (the dinosaur) has more money than the goat. Rule29: If there is evidence that one animal, no matter which one, enjoys the company of the finch, then the bear pays some $$$ to the llama undoubtedly. Rule30: Here is an important piece of information about the bison: if it is in South America at the moment then it does not acquire a photograph of the dragonfly for sure. Rule31: This is a basic rule: if the beaver does not surrender to the badger, then the conclusion that the badger will not hug the seahorse follows immediately and effectively. Rule32: This is a basic rule: if the owl enjoys the company of the flamingo, then the conclusion that \"the flamingo will not trade one of its pieces with the reindeer\" follows immediately and effectively. Rule33: The german shepherd does not manage to convince the chinchilla, in the case where the fish tears down the castle of the german shepherd. Rule34: This is a basic rule: if the peafowl shouts at the worm, then the conclusion that \"the worm calls the goose\" follows immediately and effectively. Rule35: For the coyote, if the belief is that the dalmatian does not fall on a square that belongs to the coyote and the flamingo does not shout at the coyote, then you can add \"the coyote brings an oil tank for the woodpecker\" to your conclusions. Rule36: If you are positive that you saw one of the animals destroys the wall constructed by the cobra, you can be certain that it will not pay some $$$ to the llama. Rule37: The pigeon invests in the company owned by the beetle whenever at least one animal creates a castle for the chihuahua. Rule10 is preferred over Rule6. Rule12 is preferred over Rule20. Rule23 is preferred over Rule9. Rule3 is preferred over Rule33. Rule30 is preferred over Rule16. Rule31 is preferred over Rule11. Rule36 is preferred over Rule29. Rule5 is preferred over Rule8. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the chinchilla acquire a photograph of the stork? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "3b12b1a908072a96dfa60f14f85e13264920d16e3c914a62c69653119f20e1c6",
    "id": "bbeh:boardgame_qa:176",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The butterfly has 2 friends that are bald and 5 friends that are not, and has a card that is white in color. The dove is a physiotherapist. The dove is currently in Antalya. The gadwall shouts at the rhino. The snake has some spinach, and is 2 years old. And the rules of the game are as follows. Rule1: Regarding the snake, if it has something to sit on, then we can conclude that it does not pay money to the wolf. Rule2: If the rhino trades one of the pieces in its possession with the otter, then the otter neglects the goat. Rule3: The snake will not pay some $$$ to the wolf if it (the snake) has a high salary. Rule4: If the swallow manages to persuade the ant and the dolphin smiles at the ant, then the ant swears to the akita. Rule5: The living creature that disarms the beaver will also take over the emperor of the dolphin, without a doubt. Rule6: The living creature that takes over the emperor of the dolphin will never borrow a weapon from the stork. Rule7: The living creature that borrows a weapon from the stork will also destroy the wall built by the badger, without a doubt. Rule8: This is a basic rule: if the gadwall shouts at the rhino, then the conclusion that \"the rhino unites with the crab\" follows immediately and effectively. Rule9: Be careful when something reveals a secret to the flamingo and also tears down the castle of the monkey because in this case it will surely borrow a weapon from the stork (this may or may not be problematic). Rule10: If the ant swears to the akita, then the akita hides the cards that she has from the bear. Rule11: If the mule leaves the houses that are occupied by the dove, then the dove swears to the goose. Rule12: This is a basic rule: if the butterfly swears to the dove, then the conclusion that \"the dove reveals a secret to the flamingo\" follows immediately and effectively. Rule13: The butterfly will swear to the dove if it (the butterfly) has fewer than ten friends. Rule14: Regarding the dove, if it works in healthcare, then we can conclude that it does not swear to the goose. Rule15: Regarding the butterfly, if it has a card whose color starts with the letter \"h\", then we can conclude that it swears to the dove. Rule16: If you are positive that one of the animals does not stop the victory of the finch, you can be certain that it will not disarm the beaver. Rule17: This is a basic rule: if the goat dances with the dolphin, then the conclusion that \"the dolphin smiles at the ant\" follows immediately and effectively. Rule18: From observing that an animal does not swear to the goose, one can conclude the following: that animal will not take over the emperor of the dolphin. Rule19: If there is evidence that one animal, no matter which one, brings an oil tank for the german shepherd, then the swallow is not going to manage to persuade the ant. Rule20: This is a basic rule: if the dove destroys the wall constructed by the badger, then the conclusion that \"the badger stops the victory of the swallow\" follows immediately and effectively. Rule21: From observing that one animal unites with the crab, one can conclude that it also stops the victory of the songbird, undoubtedly. Rule22: If something stops the victory of the songbird, then it trades one of its pieces with the otter, too. Rule23: One of the rules of the game is that if the otter neglects the goat, then the goat will, without hesitation, dance with the dolphin. Rule24: There exists an animal which manages to persuade the leopard? Then, the rhino definitely does not trade one of its pieces with the otter. Rule25: Here is an important piece of information about the dove: if it is in Turkey at the moment then it disarms the beaver for sure. Rule26: Regarding the snake, if it is less than five years old, then we can conclude that it pays money to the wolf. Rule27: If the badger stops the victory of the swallow, then the swallow manages to persuade the ant. Rule28: The dove will not reveal a secret to the flamingo, in the case where the shark does not enjoy the company of the dove. Rule29: There exists an animal which pays money to the wolf? Then the dove definitely tears down the castle of the monkey. Rule1 is preferred over Rule26. Rule11 is preferred over Rule14. Rule16 is preferred over Rule25. Rule19 is preferred over Rule27. Rule24 is preferred over Rule22. Rule28 is preferred over Rule12. Rule3 is preferred over Rule26. Rule5 is preferred over Rule18. Rule9 is preferred over Rule6. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the akita hide the cards that she has from the bear? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "560205786af1b8488470fb14d05fe2a478bd627a71e58d3610033bbfcab1f57c",
    "id": "bbeh:boardgame_qa:181",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The duck has a football with a radius of 19 inches, and was born 1 and a half years ago. The german shepherd takes over the emperor of the dolphin. The monkey is a programmer. The wolf does not refuse to help the pelikan. And the rules of the game are as follows. Rule1: The worm borrows a weapon from the ostrich whenever at least one animal takes over the emperor of the dolphin. Rule2: The living creature that refuses to help the german shepherd will never disarm the badger. Rule3: This is a basic rule: if the gadwall tears down the castle of the worm, then the conclusion that \"the worm will not borrow a weapon from the ostrich\" follows immediately and effectively. Rule4: From observing that an animal does not swear to the llama, one can conclude that it dances with the owl. Rule5: This is a basic rule: if the bee pays money to the owl, then the conclusion that \"the owl manages to convince the crab\" follows immediately and effectively. Rule6: The living creature that does not disarm the dalmatian will never surrender to the mule. Rule7: If the dinosaur refuses to help the liger, then the liger hugs the coyote. Rule8: If there is evidence that one animal, no matter which one, surrenders to the mule, then the beaver leaves the houses occupied by the akita undoubtedly. Rule9: If the monkey works in computer science and engineering, then the monkey trades one of the pieces in its possession with the walrus. Rule10: There exists an animal which smiles at the stork? Then the peafowl definitely surrenders to the mule. Rule11: If you are positive that you saw one of the animals builds a power plant near the green fields of the crow, you can be certain that it will not refuse to help the liger. Rule12: If there is evidence that one animal, no matter which one, manages to convince the crab, then the butterfly is not going to trade one of the pieces in its possession with the swan. Rule13: From observing that an animal does not disarm the badger, one can conclude that it falls on a square that belongs to the dove. Rule14: Here is an important piece of information about the duck: if it is more than 5 years old then it does not neglect the dragon for sure. Rule15: If something stops the victory of the leopard, then it pays money to the owl, too. Rule16: If you see that something does not invest in the company whose owner is the otter but it hugs the coyote, what can you certainly conclude? You can conclude that it is not going to dance with the bison. Rule17: The living creature that dances with the bison will also refuse to help the german shepherd, without a doubt. Rule18: There exists an animal which leaves the houses occupied by the akita? Then the liger definitely dances with the bison. Rule19: The bee stops the victory of the leopard whenever at least one animal neglects the dragon. Rule20: The dinosaur refuses to help the liger whenever at least one animal swims in the pool next to the house of the swallow. Rule21: In order to conclude that the liger will never fall on a square that belongs to the dove, two pieces of evidence are required: firstly the snake does not acquire a photograph of the liger and secondly the bulldog does not fall on a square of the liger. Rule22: If you are positive that you saw one of the animals borrows a weapon from the ostrich, you can be certain that it will also smile at the stork. Rule23: If you are positive that one of the animals does not trade one of its pieces with the swan, you can be certain that it will borrow a weapon from the snake without a doubt. Rule24: If the pelikan invests in the company whose owner is the snake, then the snake swims in the pool next to the house of the swallow. Rule25: The duck will not neglect the dragon if it (the duck) is in France at the moment. Rule26: Here is an important piece of information about the duck: if it has a football that fits in a 44.5 x 41.2 x 43.2 inches box then it neglects the dragon for sure. Rule27: This is a basic rule: if the monkey trades one of the pieces in its possession with the walrus, then the conclusion that \"the walrus will not swear to the llama\" follows immediately and effectively. Rule28: This is a basic rule: if the wolf does not refuse to help the pelikan, then the conclusion that the pelikan invests in the company owned by the snake follows immediately and effectively. Rule29: One of the rules of the game is that if the butterfly borrows a weapon from the snake, then the snake will never acquire a photograph of the liger. Rule11 is preferred over Rule20. Rule14 is preferred over Rule26. Rule16 is preferred over Rule18. Rule21 is preferred over Rule13. Rule25 is preferred over Rule26. Rule3 is preferred over Rule1. Rule6 is preferred over Rule10. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the liger fall on a square of the dove? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "539c70b74758d2b3c3d2148bd225acd5948114de0f4d2052485ce851ffd37d68",
    "id": "bbeh:boardgame_qa:188",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has 60 dollars. The ant unites with the snake. The basenji is three and a half years old. The bear pays money to the frog. The beetle is named Cinnamon. The dalmatian has 40 dollars. The dragon calls the chinchilla. The elk is 4 years old. The german shepherd reduced her work hours recently. The lizard has 17 friends, has a basketball with a diameter of 15 inches, and is currently in Montreal. The llama is named Charlie. The mermaid has 56 dollars. The monkey enjoys the company of the fish. The owl manages to convince the shark. The worm has 28 dollars, and has a football with a radius of 26 inches. The worm supports Chris Ronaldo. The seahorse does not fall on a square of the ostrich. The starling does not capture the king of the chihuahua. And the rules of the game are as follows. Rule1: The husky unquestionably invests in the company whose owner is the dinosaur, in the case where the goat manages to persuade the husky. Rule2: There exists an animal which invests in the company owned by the rhino? Then, the fangtooth definitely does not build a power plant near the green fields of the crow. Rule3: The german shepherd does not leave the houses occupied by the leopard whenever at least one animal creates a castle for the peafowl. Rule4: The songbird does not pay money to the mule, in the case where the crow destroys the wall built by the songbird. Rule5: One of the rules of the game is that if the basenji borrows one of the weapons of the poodle, then the poodle will never neglect the songbird. Rule6: The living creature that does not capture the king of the chihuahua will smile at the badger with no doubts. Rule7: The lizard will pay some $$$ to the dove if it (the lizard) has a basketball that fits in a 5.5 x 22.2 x 23.4 inches box. Rule8: The songbird surrenders to the duck whenever at least one animal disarms the walrus. Rule9: The living creature that calls the pigeon will never take over the emperor of the bulldog. Rule10: If there is evidence that one animal, no matter which one, reveals something that is supposed to be a secret to the reindeer, then the bulldog unites with the dachshund undoubtedly. Rule11: If the akita has more money than the dalmatian, then the akita does not hide the cards that she has from the gadwall. Rule12: Regarding the llama, if it has a name whose first letter is the same as the first letter of the beetle's name, then we can conclude that it tears down the castle that belongs to the gorilla. Rule13: Regarding the lizard, if it is in Canada at the moment, then we can conclude that it does not pay some $$$ to the dove. Rule14: Here is an important piece of information about the elk: if it is more than one and a half years old then it does not neglect the songbird for sure. Rule15: From observing that an animal does not stop the victory of the butterfly, one can conclude the following: that animal will not manage to convince the crow. Rule16: If something does not pay money to the mule but falls on a square that belongs to the pigeon, then it stops the victory of the goose. Rule17: There exists an animal which acquires a photograph of the swallow? Then, the camel definitely does not hug the dolphin. Rule18: If there is evidence that one animal, no matter which one, manages to convince the shark, then the akita hides the cards that she has from the gadwall undoubtedly. Rule19: The lizard will pay money to the dove if it (the lizard) has more than 8 friends. Rule20: Here is an important piece of information about the german shepherd: if it works fewer hours than before then it leaves the houses that are occupied by the leopard for sure. Rule21: From observing that an animal does not reveal something that is supposed to be a secret to the zebra, one can conclude that it brings an oil tank for the vampire. Rule22: Regarding the worm, if it is a fan of Chris Ronaldo, then we can conclude that it takes over the emperor of the duck. Rule23: The songbird unquestionably suspects the truthfulness of the dragon, in the case where the poodle does not neglect the songbird. Rule24: The beaver does not stop the victory of the butterfly whenever at least one animal trades one of its pieces with the seal. Rule25: This is a basic rule: if the seahorse does not fall on a square of the ostrich, then the conclusion that the ostrich suspects the truthfulness of the songbird follows immediately and effectively. Rule26: If at least one animal tears down the castle of the gorilla, then the otter acquires a photo of the swallow. Rule27: One of the rules of the game is that if the worm takes over the emperor of the duck, then the duck will, without hesitation, call the swan. Rule28: If you are positive that you saw one of the animals suspects the truthfulness of the dragon, you can be certain that it will not bring an oil tank for the vampire. Rule29: One of the rules of the game is that if the ostrich suspects the truthfulness of the songbird, then the songbird will, without hesitation, bring an oil tank for the flamingo. Rule30: This is a basic rule: if the fish does not borrow one of the weapons of the dragonfly, then the conclusion that the dragonfly trades one of the pieces in its possession with the seal follows immediately and effectively. Rule31: If at least one animal invests in the company owned by the dinosaur, then the crow surrenders to the butterfly. Rule32: If you are positive that you saw one of the animals leaves the houses occupied by the leopard, you can be certain that it will also invest in the company owned by the goat. Rule33: There exists an animal which acquires a photograph of the fangtooth? Then the stork definitely invests in the company whose owner is the rhino. Rule34: One of the rules of the game is that if the german shepherd dances with the goat, then the goat will, without hesitation, manage to persuade the husky. Rule35: If the lizard takes over the emperor of the finch, then the finch is not going to tear down the castle that belongs to the husky. Rule36: If at least one animal takes over the emperor of the bulldog, then the songbird does not reveal something that is supposed to be a secret to the zebra. Rule37: The coyote takes over the emperor of the bulldog whenever at least one animal unites with the dachshund. Rule38: If at least one animal hides the cards that she has from the gadwall, then the mouse smiles at the wolf. Rule39: From observing that an animal does not hug the dolphin, one can conclude that it borrows one of the weapons of the vampire. Rule40: The living creature that surrenders to the butterfly will also destroy the wall built by the songbird, without a doubt. Rule41: If something calls the chinchilla, then it reveals something that is supposed to be a secret to the reindeer, too. Rule42: From observing that an animal leaves the houses that are occupied by the swan, one can conclude the following: that animal does not call the swan. Rule43: This is a basic rule: if the ant negotiates a deal with the snake, then the conclusion that \"the snake brings an oil tank for the crab\" follows immediately and effectively. Rule44: The pelikan does not manage to persuade the cougar whenever at least one animal smiles at the badger. Rule45: One of the rules of the game is that if the pelikan does not manage to persuade the cougar, then the cougar will never invest in the company whose owner is the beaver. Rule46: If something pays some $$$ to the dove, then it takes over the emperor of the finch, too. Rule47: Here is an important piece of information about the basenji: if it is more than 23 months old then it does not surrender to the liger for sure. Rule48: If you are positive that you saw one of the animals brings an oil tank for the flamingo, you can be certain that it will also pay money to the ostrich. Rule49: Here is an important piece of information about the starling: if it is more than 81 days old then it does not smile at the badger for sure. Rule50: If there is evidence that one animal, no matter which one, pays money to the frog, then the fish borrows one of the weapons of the dragonfly undoubtedly. Rule51: If something does not surrender to the liger, then it borrows a weapon from the poodle. Rule52: The beaver unquestionably manages to persuade the crow, in the case where the cougar does not invest in the company whose owner is the beaver. Rule53: If you are positive that you saw one of the animals surrenders to the duck, you can be certain that it will also fall on a square of the pigeon. Rule54: The mule acquires a photograph of the fangtooth whenever at least one animal brings an oil tank for the crab. Rule55: If there is evidence that one animal, no matter which one, borrows one of the weapons of the vampire, then the woodpecker disarms the walrus undoubtedly. Rule56: The fish does not borrow one of the weapons of the dragonfly, in the case where the monkey enjoys the companionship of the fish. Rule57: The songbird does not stop the victory of the goose, in the case where the beetle pays money to the songbird. Rule15 is preferred over Rule52. Rule18 is preferred over Rule11. Rule19 is preferred over Rule13. Rule21 is preferred over Rule28. Rule3 is preferred over Rule20. Rule42 is preferred over Rule27. Rule49 is preferred over Rule6. Rule56 is preferred over Rule50. Rule57 is preferred over Rule16. Rule7 is preferred over Rule13. Rule9 is preferred over Rule37. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the songbird stop the victory of the goose? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "7b06a6ef663e310a302ce4d133abc4b095cd6847c92f10da42713a7053d50a1e",
    "id": "bbeh:boardgame_qa:193",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has 37 dollars. The bulldog has 12 dollars. The camel has a backpack. The chinchilla assassinated the mayor, and is named Paco. The cougar creates one castle for the dragonfly. The dragon has 97 dollars. The dragonfly calls the walrus. The dugong has a card that is red in color. The dugong is watching a movie from 1973. The lizard has some spinach, and is named Mojo. The mermaid wants to see the bee. The reindeer dances with the pelikan, and tears down the castle that belongs to the mule. The swallow is named Tango. The zebra is named Pablo. The fish does not tear down the castle that belongs to the wolf. The mouse does not shout at the seahorse. And the rules of the game are as follows. Rule1: If the camel has a card whose color starts with the letter \"w\", then the camel does not want to see the basenji. Rule2: If the lizard has a device to connect to the internet, then the lizard swears to the duck. Rule3: There exists an animal which pays some $$$ to the husky? Then, the vampire definitely does not manage to persuade the beetle. Rule4: One of the rules of the game is that if the cougar creates a castle for the dragonfly, then the dragonfly will never unite with the crow. Rule5: The elk surrenders to the dugong whenever at least one animal disarms the dalmatian. Rule6: If the snake reveals a secret to the vampire, then the vampire is not going to reveal something that is supposed to be a secret to the songbird. Rule7: The ant does not suspect the truthfulness of the dolphin, in the case where the mannikin pays money to the ant. Rule8: One of the rules of the game is that if the reindeer suspects the truthfulness of the coyote, then the coyote will, without hesitation, leave the houses occupied by the gadwall. Rule9: The poodle unquestionably surrenders to the swallow, in the case where the seal stops the victory of the poodle. Rule10: There exists an animal which hides the cards that she has from the bear? Then the seal definitely stops the victory of the poodle. Rule11: The living creature that trades one of its pieces with the akita will also hide her cards from the monkey, without a doubt. Rule12: If at least one animal hides her cards from the monkey, then the beetle does not enjoy the company of the poodle. Rule13: The vampire reveals something that is supposed to be a secret to the songbird whenever at least one animal suspects the truthfulness of the dolphin. Rule14: From observing that one animal surrenders to the goat, one can conclude that it also captures the king of the fangtooth, undoubtedly. Rule15: If the lizard swears to the duck, then the duck surrenders to the bison. Rule16: If there is evidence that one animal, no matter which one, captures the king of the fangtooth, then the chihuahua swears to the finch undoubtedly. Rule17: If you see that something surrenders to the shark and swears to the goose, what can you certainly conclude? You can conclude that it also disarms the dalmatian. Rule18: If you are positive that you saw one of the animals reveals something that is supposed to be a secret to the songbird, you can be certain that it will also manage to persuade the beetle. Rule19: In order to conclude that the chihuahua neglects the peafowl, two pieces of evidence are required: firstly the frog should neglect the chihuahua and secondly the poodle should tear down the castle that belongs to the chihuahua. Rule20: The living creature that calls the walrus will also unite with the crow, without a doubt. Rule21: If something does not negotiate a deal with the starling, then it brings an oil tank for the crab. Rule22: One of the rules of the game is that if the elk enjoys the company of the frog, then the frog will never surrender to the cougar. Rule23: The finch does not stop the victory of the elk whenever at least one animal unites with the crow. Rule24: If at least one animal wants to see the bee, then the fangtooth pays some $$$ to the crab. Rule25: If something dances with the pelikan, then it suspects the truthfulness of the coyote, too. Rule26: The finch unquestionably stops the victory of the elk, in the case where the dove disarms the finch. Rule27: If the dugong is watching a movie that was released after the first man landed on moon, then the dugong swears to the goose. Rule28: If you are positive that one of the animals does not shout at the seahorse, you can be certain that it will capture the king of the llama without a doubt. Rule29: If something hugs the stork, then it surrenders to the goat, too. Rule30: The crab unquestionably hugs the stork, in the case where the otter brings an oil tank for the crab. Rule31: If something swims inside the pool located besides the house of the beaver, then it builds a power plant close to the green fields of the badger, too. Rule32: The pigeon does not pay money to the husky, in the case where the ostrich smiles at the pigeon. Rule33: One of the rules of the game is that if the finch does not stop the victory of the elk, then the elk will never surrender to the dugong. Rule34: The dugong will surrender to the shark if it (the dugong) has a card whose color appears in the flag of France. Rule35: If you are positive that you saw one of the animals creates one castle for the beetle, you can be certain that it will not hide the cards that she has from the bear. Rule36: If the chinchilla voted for the mayor, then the chinchilla does not dance with the otter. Rule37: If the chinchilla has a name whose first letter is the same as the first letter of the zebra's name, then the chinchilla does not dance with the otter. Rule38: The lizard will swear to the duck if it (the lizard) has a name whose first letter is the same as the first letter of the swallow's name. Rule39: The pigeon pays money to the husky whenever at least one animal builds a power plant near the green fields of the badger. Rule40: The crab unquestionably hides the cards that she has from the leopard, in the case where the fangtooth pays some $$$ to the crab. Rule41: If at least one animal brings an oil tank for the cobra, then the ant suspects the truthfulness of the dolphin. Rule42: If the dragon has more money than the ant and the bulldog combined, then the dragon brings an oil tank for the cobra. Rule43: From observing that one animal neglects the peafowl, one can conclude that it also falls on a square of the rhino, undoubtedly. Rule44: The crab does not hide the cards that she has from the leopard whenever at least one animal wants to see the basenji. Rule45: From observing that one animal surrenders to the swallow, one can conclude that it also tears down the castle of the chihuahua, undoubtedly. Rule46: If something surrenders to the dugong, then it enjoys the company of the frog, too. Rule47: One of the rules of the game is that if the chinchilla does not dance with the otter, then the otter will never negotiate a deal with the starling. Rule48: This is a basic rule: if the coyote leaves the houses occupied by the gadwall, then the conclusion that \"the gadwall trades one of the pieces in its possession with the akita\" follows immediately and effectively. Rule49: One of the rules of the game is that if the fish does not tear down the castle that belongs to the wolf, then the wolf will, without hesitation, swim inside the pool located besides the house of the beaver. Rule50: If you are positive that one of the animals does not surrender to the cougar, you can be certain that it will neglect the chihuahua without a doubt. Rule51: The camel will want to see the basenji if it (the camel) has something to carry apples and oranges. Rule52: From observing that one animal hides her cards from the leopard, one can conclude that it also negotiates a deal with the swan, undoubtedly. Rule53: If at least one animal surrenders to the bison, then the flamingo hides her cards from the bear. Rule1 is preferred over Rule51. Rule18 is preferred over Rule3. Rule20 is preferred over Rule4. Rule26 is preferred over Rule23. Rule32 is preferred over Rule39. Rule35 is preferred over Rule53. Rule40 is preferred over Rule44. Rule5 is preferred over Rule33. Rule6 is preferred over Rule13. Rule7 is preferred over Rule41. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the chihuahua fall on a square of the rhino? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "9e3198758654c681b3daa84c6a88ca5a27577057f0d06fcbc17cfdf485d3f365",
    "id": "bbeh:boardgame_qa:198",
    "request": "A few players are playing a boardgame. The current state of the game is as follows. The butterfly swears to the pigeon. The dachshund enjoys the company of the chihuahua. The pigeon is watching a movie from 2002. The reindeer is 33 weeks old, and recently read a high-quality paper. The wolf has 54 dollars. The wolf is watching a movie from 1968. The wolf is 4 years old. The camel does not unite with the dragon. The woodpecker does not negotiate a deal with the flamingo. And the rules of the game are as follows. Rule1: The reindeer unquestionably creates one castle for the llama, in the case where the woodpecker destroys the wall constructed by the reindeer. Rule2: From observing that an animal does not suspect the truthfulness of the dove, one can conclude that it destroys the wall built by the reindeer. Rule3: Regarding the reindeer, if it has published a high-quality paper, then we can conclude that it does not refuse to help the butterfly. Rule4: If something borrows one of the weapons of the crow, then it does not destroy the wall built by the mule. Rule5: If you are positive that you saw one of the animals unites with the dragon, you can be certain that it will not pay some $$$ to the woodpecker. Rule6: This is a basic rule: if the pigeon does not leave the houses that are occupied by the reindeer, then the conclusion that the reindeer calls the swallow follows immediately and effectively. Rule7: In order to conclude that the ant shouts at the basenji, two pieces of evidence are required: firstly the reindeer should neglect the ant and secondly the ostrich should acquire a photograph of the ant. Rule8: If something hides her cards from the peafowl, then it acquires a photograph of the ant, too. Rule9: The living creature that does not stop the victory of the swallow will never shout at the basenji. Rule10: Regarding the camel, if it is watching a movie that was released after Shaquille O'Neal retired, then we can conclude that it pays money to the woodpecker. Rule11: Here is an important piece of information about the wolf: if it is watching a movie that was released before Richard Nixon resigned then it calls the liger for sure. Rule12: If at least one animal calls the liger, then the german shepherd destroys the wall constructed by the peafowl. Rule13: The woodpecker will not suspect the truthfulness of the dove, in the case where the camel does not pay money to the woodpecker. Rule14: Regarding the wolf, if it is less than 2 years old, then we can conclude that it calls the liger. Rule15: There exists an animal which destroys the wall built by the peafowl? Then, the mannikin definitely does not shout at the ostrich. Rule16: One of the rules of the game is that if the butterfly swears to the pigeon, then the pigeon will never leave the houses that are occupied by the reindeer. Rule17: From observing that an animal calls the owl, one can conclude the following: that animal does not surrender to the akita. Rule18: If you are positive that one of the animals does not negotiate a deal with the cougar, you can be certain that it will not acquire a photo of the mule. Rule19: If you are positive that you saw one of the animals disarms the dalmatian, you can be certain that it will also shout at the ostrich. Rule20: If something surrenders to the akita, then it takes over the emperor of the reindeer, too. Rule21: The wolf will not call the liger if it (the wolf) has more money than the songbird. Rule22: From observing that an animal does not build a power plant near the green fields of the dinosaur, one can conclude the following: that animal will not acquire a photo of the ant. Rule23: If something calls the swallow, then it swims inside the pool located besides the house of the goat, too. Rule24: Are you certain that one of the animals surrenders to the gorilla and also at the same time creates a castle for the llama? Then you can also be certain that the same animal does not neglect the ant. Rule25: If you are positive that one of the animals does not negotiate a deal with the flamingo, you can be certain that it will not pay some $$$ to the finch. Rule26: If the reindeer is less than eighteen months old, then the reindeer does not refuse to help the butterfly. Rule27: The crow acquires a photograph of the mule whenever at least one animal enjoys the companionship of the chihuahua. Rule28: This is a basic rule: if the ant shouts at the basenji, then the conclusion that \"the basenji destroys the wall built by the badger\" follows immediately and effectively. Rule29: The living creature that swims inside the pool located besides the house of the goat will never create a castle for the llama. Rule30: This is a basic rule: if the basenji destroys the wall built by the badger, then the conclusion that \"the badger builds a power plant near the green fields of the swan\" follows immediately and effectively. Rule31: There exists an animal which acquires a photo of the mule? Then the beetle definitely destroys the wall constructed by the mule. Rule32: The reindeer unquestionably neglects the ant, in the case where the mule takes over the emperor of the reindeer. Rule33: The german shepherd does not destroy the wall built by the peafowl, in the case where the stork disarms the german shepherd. Rule34: If the mannikin does not shout at the ostrich, then the ostrich hides the cards that she has from the peafowl. Rule35: The mule unquestionably surrenders to the akita, in the case where the beetle does not destroy the wall built by the mule. Rule1 is preferred over Rule29. Rule10 is preferred over Rule5. Rule19 is preferred over Rule15. Rule21 is preferred over Rule11. Rule21 is preferred over Rule14. Rule22 is preferred over Rule8. Rule24 is preferred over Rule32. Rule27 is preferred over Rule18. Rule31 is preferred over Rule4. Rule33 is preferred over Rule12. Rule35 is preferred over Rule17. Rule9 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement,  does the badger build a power plant near the green fields of the swan? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.",
    "response_contract": {
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    "role": "final",
    "task": "boardgame_qa"
  },
  {
    "dataset": "bbeh",
    "family": "0e30c2d72e0adcb52f2e92d838f21d28b5edce50f7542fd8366e7ebf207b89ed",
    "id": "bbeh:boolean_expressions:006",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not (not (((not not ((False) or (-6 * 1 + -9 * 5 > -7 * 6)) or not not not (7 - (5 / -3) is greater than 8)) and (2 * -9 + 5 * -3 <= 9 * -1)) or (max(-8, 7, 5, -10) - min(-8, 7, 5, -10) is greater than 9)) or (3 * 6 + 1 * -10 is greater than 9 * -7)) or (-4 - (-10 / -3) > 9)) and not not (max(9, -7, -4, 9) - min(9, -7, -4, 9) is greater than 1)) and (max(-9, 5, -7, 7) - min(-9, 5, -7, 7) <= 7)\n(B) not (not (not not (not not (not (not not (not not (not (not (not not not (not (7 * 5 + -1 * 7 is less than or equal to 3 * -4) and (-1 - (-8 / -1) > 1)) and not not (The capital of Iraq is Baghdad.)) and (False)) and (8 - (5 / -9) is greater than 5)) or not not not (-9 * -2 + -4 * 5 <= 1 * 3)) or not not not (8 - (8 / 6) is greater than -9)) or (-6 - (8 / 4) is less than or equal to 3)) or not not not (max(5, 4, -5, -2) - min(5, 4, -5, -2) <= 7)) or not not not (max(-1, 7, -9, 10) - min(-1, 7, -9, 10) <= 3)) and (-2 - (1 / 3) is less than or equal to 7)) and (The capital of Iraq is Beirut.)\n(C) not (not (not not (((not (not not (not (not not not (not (not not not (not not ((not (The capital of Norway is Oslo.) and (-8 * 1 is less than or equal to 7)) or (The capital of Azerbaijan is Baku.)) or not not not (-5 - (8 / -10) > -4)) and not not (max(-2, -7, -2, 8) - min(-2, -7, -2, 8) is greater than 5)) or (-7 * 5 + -7 * -6 > -10 * -1)) and not not (4 * 1 + 8 * -2 <= -2 * 5)) and (-3 * -7 > -9)) or not not not (max(7, -3, 10, 4) - min(7, -3, 10, 4) <= 3)) and (-9 * 5 > -1)) or (max(-3, 10, 7, 4) - min(-3, 10, 7, 4) <= 3)) or (True)) or not not not (The capital of Belarus is Grodno.)) and (max(4, 3, 9, -3) - min(4, 3, 9, -3) is greater than 1)) or (-9 - (-5 / -9) is less than or equal to -1)\n(D) not not (not (not not (1 - (8 / 10) is greater than -8) or not not not (max(-3, 9, -6, -1) - min(-3, 9, -6, -1) <= 6)) and (not not not (-8 * -10 + -4 * 1 is less than or equal to -2 * -1) and not not (max(3, 1, 3, -3) - min(3, 1, 3, -3) is greater than 1))) or not not not (not not not (not not (-4 * -10 <= 9) or not not not (2 - (8 / -4) is greater than -8)) and not not (not (2 * 7 + 5 * -8 > -5 * 4) or (1 * -4 + 6 * -5 > 10 * 10)))\n(E) (not not not (not not not (not (The capital of Iraq is Baghdad.) or (max(4, -2, 2, -1) - min(4, -2, 2, -1) is greater than 5)) and not not (not (9 * 7 + -9 * -2 is less than or equal to 5 * -4) and (max(2, 7, 7, -7) - min(2, 7, 7, -7) <= 1))) and not not (not not (not not not (max(8, 5, -9, 6) - min(8, 5, -9, 6) is greater than 7) and not not (4 * -10 + -6 * -2 > -4 * -1)) or not not not (not (-8 - (9 / 1) is less than or equal to 7) or (-2 * -3 > 4)))) and (not ((not not not (-3 * 5 > -8) and not not (The capital of Malaysia is Putrajaya.)) and (not not (-5 * -9 + -9 * 3 is greater than -1 * -1) or not not not (8 * 5 + -7 * -6 is greater than -5 * -1))) and ((not not not (-10 * -3 + -3 * -8 > -10 * -9) and not not (The capital of Norway is Bergen.)) or (not (-6 * -8 > 2) and (The capital of India is Mumbai.))))\n",
    "response_contract": {
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      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "a9e2c064bbab879410a78b350cdd841ce4efaa08dc5cd2d34db7ed979336330b",
    "id": "bbeh:boolean_expressions:007",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not (not not ((not not (not ((not not not (not not (not (not not (not (((not (7 * -10 + 10 * 4 > 10 * 8) or (True)) and (-5 * -10 > 1)) or (The capital of Norway is Bergen.)) and (The capital of Germany is Munich.)) or not not not (-1 * 1 is less than or equal to -1)) or (False)) or not not not (False)) and not not (4 - (-2 / 5) <= -6)) and (7 * -10 + 10 * 5 <= 2 * -2)) or (max(6, -5, 9, 10) - min(6, -5, 9, 10) is greater than 2)) or not not not (5 * 9 + -5 * -4 is less than or equal to 5 * 4)) or (10 * -4 is less than or equal to 4)) or not not not (max(5, 3, 3, -8) - min(5, 3, 3, -8) <= 5)) or (False)) and (-10 * 9 + -2 * -3 > 4 * 2)\n(B) not (not (not (not ((not not (not not not (not (not (not not not (max(-6, 6, 10, -6) - min(-6, 6, 10, -6) <= 10) and not not (The capital of UAE is Dubai.)) or (-6 - (6 / -5) is less than or equal to 4)) and (-9 * 6 is less than or equal to 8)) and not not (6 - (5 / 6) <= -3)) or not not not (1 * 10 + 2 * 8 > 9 * 9)) or (4 * 6 + -7 * 6 > -9 * -7)) and (The capital of Colombia is Bogota.)) and (-4 * -3 <= -8)) or (max(-8, -10, 5, 6) - min(-8, -10, 5, 6) <= 6)) and (max(-7, 10, 2, -3) - min(-7, 10, 2, -3) <= 2)\n(C) not (not not (not (not ((not not not (not (not not (not ((not (not not (not not ((not (max(-3, -9, -9, -9) - min(-3, -9, -9, -9) is greater than 4) or (False)) and (False)) or not not not (10 * 1 + 4 * 7 > 6 * 10)) or not not not (1 * 8 + 8 * 7 is less than or equal to -3 * 3)) or (9 * 2 > -10)) and (-7 * 2 + 4 * -6 > 2 * 4)) or (True)) or not not not (max(2, -3, 2, 8) - min(2, -3, 2, 8) <= 5)) or (1 * -5 + 4 * 6 is less than or equal to -1 * -8)) and not not (7 * -8 > 7)) or (-6 * 7 + 4 * 9 <= -6 * -2)) and (5 - (9 / -8) <= -8)) or (True)) or not not not (8 * -9 is less than or equal to 8)) or (max(-3, -6, -6, 3) - min(-3, -6, -6, 3) <= 6)\n(D) not not (not ((not (True) or (4 * 6 > 5)) or (not (9 * 4 > 1) and (2 * 9 + -10 * -9 is greater than -4 * -2))) or (not not (not not (4 - (-3 / 4) is greater than -9) or not not not (5 * -6 + 3 * 8 <= -9 * -1)) or not not not (not not not (max(-6, -8, -9, -2) - min(-6, -8, -9, -2) > 7) and not not (The capital of Germany is Munich.)))) or not not not (not (not not not ((max(-6, -2, 3, 6) - min(-6, -2, 3, 6) <= 8) and (-4 * -9 + 3 * 3 is greater than -7 * 8)) and not not (not (-9 * -7 + 8 * 2 is less than or equal to -10 * -1) and (-3 - (-5 / -7) > 1))) and (not not (not not not (10 * 5 <= 9) and not not (-6 * -2 <= 8)) or not not not (not (-7 * -5 + -4 * -7 <= 10 * 8) or (1 * -2 + 2 * 6 <= 6 * 4))))\n(E) not not not (not ((not not (not not ((not (True) or (max(-5, -6, 4, 10) - min(-5, -6, 4, 10) is greater than 2)) and (The capital of Jordan is Beirut.)) or not not not (The capital of Malaysia is Putrajaya.)) or not not not (-1 * -3 > 6)) and (10 * -6 + -10 * -9 is less than or equal to -3 * 8)) and (1 - (-9 / -5) is less than or equal to 2)) and not not (-9 * -6 + 9 * -3 > -8 * -8)\n",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "8976ac2eac5ae685ebf9303e8788e221bdb424268b48de0d66a6ac02f77fca45",
    "id": "bbeh:boolean_expressions:011",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not ((The capital of Iraq is Baghdad.) and (5 - (9 / -2) is greater than 5)) and ((7 * 8 > 6) or (max(-7, 7, 4, -7) - min(-7, 7, 4, -7) <= 10))) or (not ((-8 * 1 + -2 * 2 is greater than 3 * -10) or (False)) or (not (False) or (-3 * -9 > -5)))) and not not (not (not (not not (3 - (-6 / 3) > 8) or not not not (False)) or (not not not (10 * 4 <= -9) and not not (-5 - (-8 / 2) is greater than -5))) or (not (not not (8 * -4 + 10 * 10 is greater than 7 * -7) or not not not (-2 * 6 + 8 * 5 is greater than 4 * 1)) or (not not (True) or not not not (max(-10, 5, 3, 3) - min(-10, 5, 3, 3) <= 1))))\n(B) not not (not (not (not ((not not not ((not (not ((not not not (not (not not (not not (-2 * 3 > 1) or not not not (True)) or not not not (The capital of India is New Delhi.)) or (False)) and not not (False)) or (False)) and (max(-8, 4, 7, 4) - min(-8, 4, 7, 4) <= 8)) and (9 - (-8 / 5) is greater than 8)) or (max(3, 1, 6, 4) - min(3, 1, 6, 4) is greater than 1)) and not not (True)) or (4 - (-1 / -10) <= 3)) or (max(-2, 4, 2, 1) - min(-2, 4, 2, 1) <= 7)) or (2 * -5 is less than or equal to -10)) or (1 * 4 + 2 * -6 is less than or equal to 7 * -4)) or not not not (-1 * 7 is less than or equal to -2)\n(C) not not (not (not not not (not not not (-10 * -9 + -4 * 4 is greater than 9 * 1) and not not (-4 - (-2 / -3) > -2)) and not not (not (The capital of Belarus is Minsk.) and (6 - (9 / -4) <= 7))) or (not ((The capital of Nepal is Pokhara.) and (True)) and (not not (max(-1, -8, 4, -9) - min(-1, -8, 4, -9) is greater than 9) or not not not (False)))) or not not not (((not not (-9 * -7 > 2) or not not not (True)) or (not (1 * -9 + -10 * -5 is greater than -3 * -5) and (False))) and (((-10 * -3 + -2 * -10 is greater than 6 * -7) or (True)) and (not not (-2 * -6 > 10) or not not not (-5 * 9 > 1))))\n(D) (((not not not (not ((not not not (not (not (-9 * -5 > 4) or (max(-5, 4, -4, -9) - min(-5, 4, -4, -9) is greater than 10)) or (7 * 9 <= -6)) and not not (The capital of Malaysia is Kuala Lumpur.)) and (The capital of Azerbaijan is Baku.)) and (max(-1, 5, 4, -9) - min(-1, 5, 4, -9) is greater than 9)) and not not (8 * 4 + 3 * 4 is less than or equal to 7 * -9)) and (The capital of India is Mumbai.)) or (6 * 3 + -2 * 6 is less than or equal to 6 * -4)) or (-5 * 7 > -3)\n(E) not not not (not not (not not (The capital of Norway is Oslo.) or not not not (-4 * 2 + 9 * 2 is less than or equal to 8 * -10)) or not not not (not not not (7 * -1 is less than or equal to 4) and not not (max(-4, 8, 8, 2) - min(-4, 8, 8, 2) is greater than 8))) and not not (not not not (not (2 * -6 is less than or equal to -8) or (6 - (-1 / 1) <= -3)) and not not (not not not (max(8, 1, 6, -2) - min(8, 1, 6, -2) is greater than 1) and not not (The capital of Iran is Tehran.)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "e7140c81b634213339f608786849ff735379b39e1e548dded821f6ce23652f5e",
    "id": "bbeh:boolean_expressions:012",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not ((not not not (not not (not (not ((not (not ((not (The capital of India is New Delhi.) and (-1 - (8 / -2) is greater than -7)) or (max(-6, 2, 8, 3) - min(-6, 2, 8, 3) <= 3)) or (max(3, -6, 3, 8) - min(3, -6, 3, 8) <= 10)) and (True)) or (The capital of the Nigeria is Lagos.)) or (1 * -9 + 2 * 6 is less than or equal to -4 * 1)) and (False)) or not not not (The capital of India is New Delhi.)) and not not (max(2, 10, -9, 6) - min(2, 10, -9, 6) <= 8)) and (2 * -1 + 2 * 3 > 10 * 2)) and (max(1, -3, 7, -8) - min(1, -3, 7, -8) is greater than 5)) and (1 - (-8 / -6) > 2)\n(B) not (not not (not (not (not (not ((not not (not (not (not (True) and (The capital of Nepal is Kathmandu.)) and (1 * -1 + 1 * 3 > -4 * -6)) and (7 * -8 > -5)) or not not not (-6 * -1 > -9)) and (2 * -1 + -2 * 9 > -9 * -8)) and (3 * -8 + 8 * 9 is less than or equal to -9 * 10)) or (True)) and (4 * 3 + -3 * 3 is less than or equal to -2 * 2)) and (max(1, -6, -8, 3) - min(1, -6, -8, 3) is greater than 3)) or not not not (6 - (7 / -3) is greater than -2)) or (10 - (-2 / 6) <= 7)\n(C) not (not (not not not (not (The capital of Turkey is Ankara.) and (The capital of Nepal is Kathmandu.)) and not not ((-3 * 7 + 1 * 1 <= -4 * -8) and (4 * 8 > -8))) or (not not (not not (max(-7, -4, -10, 2) - min(-7, -4, -10, 2) is greater than 4) or not not not (True)) or not not not (not not (The capital of Azerbaijan is Baku.) or not not not (The capital of Nepal is Pokhara.)))) or (not (not (not (max(6, -4, 5, 3) - min(6, -4, 5, 3) <= 8) or (max(4, -8, 7, 7) - min(4, -8, 7, 7) <= 3)) and ((10 * 8 <= -1) and (1 - (-9 / 9) > 2))) or (not ((-2 * 8 is less than or equal to 9) and (True)) and (not (-9 * 7 + -10 * -6 <= -7 * -3) or (4 * -2 + -8 * 8 > -2 * 9))))\n(D) not (not (not (not not not (not not not ((not (not not not (not (-4 * -5 > 9) or (10 * 5 + 9 * 10 is less than or equal to -1 * -8)) and not not (10 * -6 + 10 * -2 <= -3 * 6)) or (6 * -9 + -9 * 8 > -9 * 9)) or (True)) and not not (False)) and not not (True)) and (8 * 6 + 3 * -3 is less than or equal to 1 * 9)) or (-8 - (2 / -9) <= -8)) and (-10 * 2 > -2)\n(E) not not not ((not (not not not (not (not ((not (not not not ((not (not (not not (not not not (The capital of Canada is Ottawa.) and not not (True)) or not not not (max(-6, -2, -4, -6) - min(-6, -2, -4, -6) <= 3)) or (4 * 6 > -9)) or (-10 * 1 + -5 * -4 is less than or equal to -2 * 4)) or (2 * -8 > 2)) and not not (-6 * 7 > -2)) and (max(7, 4, 2, 2) - min(7, 4, 2, 2) <= 6)) or (False)) or (-3 - (3 / 3) > 5)) and (False)) and not not (-8 * 9 > -7)) or (max(-9, -4, -10, 6) - min(-9, -4, -10, 6) <= 7)) and (-7 * 10 is less than or equal to 3)) and not not (-4 * 10 > -7)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "b2d16e6e9985d992cace04b96f708b9f153b82c31c605ac4d9d144ed37adbbaa",
    "id": "bbeh:boolean_expressions:013",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) ((not not (3 * 2 + 7 * -8 <= 3 * 8) or not not not (The capital of Malaysia is Putrajaya.)) and (not not not (8 * 6 > 4) and not not (-4 * 6 > 3))) and ((not not not (True) and not not (max(-3, 8, -4, 8) - min(-3, 8, -4, 8) is greater than 10)) or (not not not (7 * -2 + -8 * -2 > 4 * 1) and not not (-6 * -6 > 5)))\n(B) not ((not (not not not (max(2, -1, -10, 8) - min(2, -1, -10, 8) <= 9) and not not (max(-3, 4, -10, -7) - min(-3, 4, -10, -7) is greater than 7)) or (not not not (6 * 9 <= -6) and not not (-2 - (-9 / -9) is greater than -6))) and ((not (False) and (True)) and (not (The capital of Cameroon is Douala.) or (-4 * -2 + -8 * -10 is greater than -2 * -10)))) or ((not not not (not (max(-5, -10, -10, -10) - min(-5, -10, -10, -10) > 10) and (6 - (-5 / 7) > 10)) and not not (not (The capital of Cameroon is Yaounde.) and (-4 - (-1 / -1) is less than or equal to 3))) or (not not ((-4 * 1 > 2) and (The capital of Norway is Bergen.)) or not not not ((-5 - (-10 / -5) is less than or equal to 8) or (-6 - (4 / 8) is greater than -7))))\n(C) not (not (not ((True) and (The capital of Nepal is Pokhara.)) or (not not (The capital of Cameroon is Douala.) or not not not (-1 * -8 + 2 * -1 <= 6 * 1))) and (not (not not (2 * 5 + 3 * 3 is less than or equal to -4 * 3) or not not not (8 * -3 is less than or equal to -3)) or (not (False) or (-7 * -7 + -2 * 1 is greater than 1 * 10)))) or (not not (not not not (not (The capital of Denmark is Copenhagen.) or (7 * 5 + 9 * 10 is greater than -5 * 5)) and not not ((max(-7, 2, -7, -8) - min(-7, 2, -7, -8) <= 3) and (The capital of Malaysia is Kuala Lumpur.))) or not not not (not not not (not (False) or (10 - (-3 / -7) is greater than -1)) and not not (not not (max(-3, -4, 7, -5) - min(-3, -4, 7, -5) <= 3) or not not not (max(-1, 10, -5, -3) - min(-1, 10, -5, -3) <= 9))))\n(D) not ((not not not (not not not (False) and not not (-1 * -4 + -6 * -5 is greater than 7 * -2)) and not not (not (2 * 8 + -9 * -1 is less than or equal to -3 * 6) and (True))) and (not not not (not not (True) or not not not (False)) and not not (not not (True) or not not not (The capital of Colombia is Bogota.)))) and (not not (not not not (not not (The capital of Norway is Bergen.) or not not not (The capital of Iraq is Beirut.)) and not not (not (2 * -3 + -4 * -3 > -9 * -6) and (True))) or not not not (not ((8 - (-9 / 1) <= 2) and (9 - (-6 / -3) > 10)) and (not not not (max(1, -9, 3, -2) - min(1, -9, 3, -2) <= 8) and not not (-5 * 2 + 5 * -5 <= -2 * -2))))\n(E) not not not (not not (not (not not not (4 * 10 + -2 * 5 is greater than 6 * 2) and not not (-6 * -8 > -3)) or (not (-7 - (4 / -3) > 3) and (4 - (-4 / 4) is greater than -10))) or not not not (not not (not not (10 - (6 / -2) <= -7) or not not not (4 - (-4 / 2) is greater than 4)) or not not not ((6 * -6 + -8 * 6 > 2 * -5) or (7 * -5 is less than or equal to -4)))) and not not (not not not (not not ((The capital of Iraq is Beirut.) or (7 - (8 / -3) is greater than 8)) or not not not (not not (-9 * -6 > -5) or not not not (False))) and not not (not not (not (-8 * -8 + 9 * 2 is greater than 9 * -3) or (-6 * -5 <= -1)) or not not not (not (5 - (-7 / 9) <= 1) or (-4 - (-7 / -6) > -2))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "29029b6506b8e5e35c2929f12bbc26c57d9fdb1f10236a89353ac1a3d282f6cc",
    "id": "bbeh:boolean_expressions:016",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not ((not (not not (not not not (not not not ((not not (not ((True) and (max(7, -7, 5, -3) - min(7, -7, 5, -3) <= 4)) or (-3 * 2 + 8 * -5 <= -8 * 5)) or not not not (max(7, 3, 8, 1) - min(7, 3, 8, 1) > 7)) and (max(1, -7, 9, -1) - min(1, -7, 9, -1) <= 10)) and not not (max(-9, -6, -4, -2) - min(-9, -6, -4, -2) <= 9)) and not not (The capital of Malaysia is Kuala Lumpur.)) or not not not (max(-6, -10, -9, -3) - min(-6, -10, -9, -3) is greater than 2)) or (max(-2, 1, -5, 2) - min(-2, 1, -5, 2) is greater than 4)) or (The capital of Azerbaijan is Ganja.)) or not not not (True)) and (False)\n(B) not (not (not (not not not (not (not not (not ((((not not (False) or not not not (max(1, -3, -6, 5) - min(1, -3, -6, 5) is greater than 8)) or (-5 * 3 + -6 * 7 > 8 * 4)) or (2 * -5 + -1 * 4 > 8 * 1)) or (False)) or (10 * 5 <= -8)) or not not not (-2 * 8 + -8 * 2 <= -2 * -7)) or (5 * 7 <= 10)) and not not (-6 * 3 is less than or equal to -10)) and (-7 * -3 > -1)) and (False)) and (7 * -4 > -1)\n(C) not not (not (not (not (not (not not (not not not (max(9, -1, 6, -3) - min(9, -1, 6, -3) is greater than 10) and not not (The capital of Azerbaijan is Baku.)) or not not not (-1 - (10 / -7) is less than or equal to 10)) or (max(-6, 7, 8, -7) - min(-6, 7, 8, -7) <= 4)) or (max(2, -9, -8, -4) - min(2, -9, -8, -4) is greater than 6)) and (The capital of Colombia is Bogota.)) and (True)) or not not not (-7 * -5 > 10)\n(D) ((not (not (not ((not not (not (not (The capital of Jordan is Beirut.) or (6 * 5 > 5)) and (The capital of UAE is Dubai.)) or not not not (-3 * -7 + -1 * -5 is greater than 2 * 1)) or (-6 * -9 + 1 * 5 is greater than -3 * -7)) and (-3 * 9 + -3 * -2 > -7 * -5)) or (6 * -6 > -1)) or (-10 * -3 + 5 * 4 is less than or equal to 5 * 8)) and (-9 * -10 > -9)) and (False)\n(E) (not not not (not not (not not not (not not (not (not (not not not ((not not (not not not (8 - (7 / 2) > 10) and not not (The capital of Iran is Isfahan.)) or not not not (-9 * 1 + -7 * 2 <= 6 * -3)) and (False)) and not not (9 * -7 + -3 * 7 > 5 * 1)) and (-9 * 7 + -2 * 2 <= -2 * -3)) or (7 - (-7 / -8) <= -9)) or not not not (8 * -4 + 7 * -8 <= -9 * -6)) and not not (The capital of Malaysia is Putrajaya.)) or not not not (10 - (-6 / 1) is greater than -8)) and not not (max(-5, -10, 10, -1) - min(-5, -10, 10, -1) is greater than 2)) and (The capital of India is Mumbai.)\n",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "a3b50c5fd0b84b4fb74f068d1f8a81ea4c08ab4f775ab4ad98ff41c75b4b608e",
    "id": "bbeh:boolean_expressions:017",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not (((not (not not (not (not not (not (max(-5, -8, -3, 10) - min(-5, -8, -3, 10) <= 9) or (The capital of Jordan is Beirut.)) or not not not (6 * -9 is less than or equal to 5)) or (The capital of Gambia is Libreville.)) or not not not (-3 * -6 > 3)) or (-7 * -1 + 9 * -6 > 2 * -7)) and (max(-6, 6, -8, -6) - min(-6, 6, -8, -6) <= 3)) and (True)) or not not not (True)) or (False)\n(B) not not not (not (not (2 - (2 / 10) is less than or equal to 7) and (6 - (-9 / 5) > 9)) and ((False) and (max(-1, -7, 1, -10) - min(-1, -7, 1, -10) <= 4))) and not not (not not (not not not (max(3, -7, 9, -10) - min(3, -7, 9, -10) <= 3) and not not (The capital of Iraq is Baghdad.)) or not not not (not not (10 * 9 > 9) or not not not (-4 * 6 + -2 * -2 > -1 * 8)))\n(C) not (not ((not (not not not (not not (not (not not not (The capital of Norway is Bergen.) and not not (-1 * -2 + 5 * -1 is greater than -1 * 4)) and (2 * -6 > -8)) or not not not (The capital of Malaysia is Kuala Lumpur.)) and not not (-6 * 9 is less than or equal to 4)) and (-5 * -8 + 2 * -4 is less than or equal to -2 * 1)) and (max(4, -1, 10, -4) - min(4, -1, 10, -4) <= 10)) and (False)) and (-5 * 8 + 9 * -1 > -4 * 9)\n(D) not not not ((not not not (6 * -8 + 5 * 3 <= 4 * 2) and not not (10 - (9 / -5) <= -6)) or (not (-7 * -1 <= -6) or (-3 * -10 > 3))) and not not ((not not not (The capital of Denmark is Copenhagen.) and not not (max(4, 5, -7, -2) - min(4, 5, -7, -2) is greater than 5)) and (not not not (7 - (3 / 1) is greater than -4) and not not (The capital of Nepal is Pokhara.)))\n(E) not (not not (not (2 - (9 / 3) <= -2) and (False)) or not not not ((5 * -7 > 8) or (False))) or (not not (not (4 - (9 / -2) is greater than -5) and (-6 * -2 + 6 * 10 is less than or equal to -2 * 3)) or not not not (not (-6 - (3 / -10) > 5) or (-4 - (8 / -8) is less than or equal to 3)))\n",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "58a7ffcaa5521619320012ce7da7f0056cbf1d6741631c4e407e109600d0b253",
    "id": "bbeh:boolean_expressions:018",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (-6 * -8 <= -6) and (3 - (8 / -5) > 8)) or not not not (not not (False) or not not not (7 * -10 is less than or equal to -8))) and (not (not (The capital of Germany is Berlin.) or (False)) and (not (True) or (1 * -5 + 2 * -9 <= -5 * 1)))\n(B) not (not (not not (not not not (1 * 7 + 5 * -9 > 6 * -2) and not not (-4 - (-8 / 3) is less than or equal to 4)) or not not not ((False) and (-1 * -4 + 3 * 3 is less than or equal to 1 * -7))) or (not not not (not not (-10 * -4 + 10 * -4 > -8 * -2) or not not not (-2 * 8 + 1 * 1 > -1 * -5)) and not not ((3 - (-9 / 10) is greater than -1) and (max(-6, 10, 9, 2) - min(-6, 10, 9, 2) is greater than 9)))) or (not ((not (True) and (2 * 4 > -1)) or (not not (max(-6, 10, 6, 6) - min(-6, 10, 6, 6) is greater than 10) or not not not (max(9, -8, 2, -1) - min(9, -8, 2, -1) <= 4))) or (not ((5 * -7 + -7 * -9 is less than or equal to 1 * -6) or (-1 - (-1 / -1) is greater than -6)) or (not (10 * 2 <= 8) or (2 * -6 is less than or equal to -8))))\n(C) not (not (not not (not (The capital of Germany is Munich.) or (True)) or not not not ((6 * 7 <= 10) or (-3 * 10 + -1 * -10 <= -8 * -5))) or ((not not (The capital of Iraq is Beirut.) or not not not (4 * 9 + 3 * 10 is greater than -4 * -5)) and (not (-5 * 5 + 8 * -9 > -3 * 1) and (-10 - (8 / 8) > 10)))) and (not not (not not (not (True) or (max(10, -4, -6, 9) - min(10, -4, -6, 9) <= 5)) or not not not (not (The capital of Colombia is Medellin.) or (7 * -5 + 4 * 2 > -9 * -7))) or not not not (not (not (8 - (-10 / 5) is greater than 2) and (max(-1, -3, 5, 3) - min(-1, -3, 5, 3) is greater than 5)) or (not (max(8, -3, 9, -7) - min(8, -3, 9, -7) is greater than 8) or (1 * 1 + -3 * -5 is greater than -3 * 8))))\n(D) ((not (not not ((not (not not (not (not not not (not not (3 * -9 is less than or equal to 2) or not not not (4 * -6 is less than or equal to 7)) and not not (max(-2, -9, -1, 2) - min(-2, -9, -1, 2) is greater than 7)) or (-3 - (-2 / -8) > 3)) or not not not (True)) or (7 * -6 + -6 * -7 is less than or equal to -3 * 2)) and (max(-5, -10, 3, -1) - min(-5, -10, 3, -1) is greater than 1)) or not not not (The capital of Azerbaijan is Ganja.)) or (4 - (-1 / -10) is less than or equal to 4)) and (True)) and (5 - (10 / -7) <= -4)\n(E) (not not not (not not not (not (not not (not not (not (True) or (True)) or not not not (The capital of Malaysia is Putrajaya.)) or not not not (The capital of Jordan is Beirut.)) or (7 * -2 + -2 * 5 > -8 * -8)) and not not (-4 * 8 is less than or equal to 7)) and not not (-7 - (8 / 5) > 7)) or (-8 * 1 + 9 * 6 > -10 * -9)\n",
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  {
    "dataset": "bbeh",
    "family": "cad700935b0eabf2268f8b2f4da27689ad184739f29abd566bd4cadfb9c868f7",
    "id": "bbeh:boolean_expressions:020",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (not (not (not not not (not (True) and (-10 * -5 + 3 * -1 is less than or equal to -9 * 7)) and not not (3 * 9 > -9)) and (7 * 5 > -10)) and (The capital of Germany is Berlin.)) or (max(-7, 9, -6, -6) - min(-7, 9, -6, -6) is greater than 2)) or not not not (-7 - (-2 / -4) > -1)) and (8 - (8 / 5) is greater than -7)\n(B) not ((not (not not not (2 - (-4 / -4) is less than or equal to 9) and not not (5 * 6 + 9 * -10 > -10 * -2)) or ((-10 * 1 > 8) or (2 * 9 + 9 * -8 > -3 * -10))) and (not not not (not (max(-3, 4, 9, 1) - min(-3, 4, 9, 1) <= 5) or (True)) and not not (not (-8 * 6 > -7) or (max(-10, -2, -5, -3) - min(-10, -2, -5, -3) <= 8)))) and (not not not (not ((5 - (-1 / -7) is greater than -9) and (True)) or (not not (The capital of Turkey is Istanbul.) or not not not (max(1, 1, -7, 3) - min(1, 1, -7, 3) <= 8))) and not not (not ((4 * -5 is less than or equal to 6) or (5 - (-1 / 2) is less than or equal to 6)) or (not (8 - (2 / 9) is less than or equal to 8) and (2 * -2 + 10 * 5 is greater than 1 * 9))))\n(C) not (not not (not (not not (5 * -1 + 4 * 8 is greater than -5 * 3) or not not not (The capital of Jordan is Beirut.)) or (not not (-2 * 10 + 7 * -2 is less than or equal to 9 * -8) or not not not (-8 * 10 is less than or equal to 6))) or not not not (not not (not (-10 - (2 / 10) is less than or equal to -7) and (7 - (-9 / 4) <= -3)) or not not not (not (1 * 1 + -3 * -9 > -10 * -4) or (max(6, 8, 9, 9) - min(6, 8, 9, 9) <= 4)))) or (not ((not (-2 * 6 is less than or equal to -7) or (False)) or (not not (-10 - (-2 / -4) > 3) or not not not (-8 - (5 / 8) is less than or equal to -3))) or (((8 * -5 > -10) and (-9 * -10 + 8 * -1 is less than or equal to -9 * -6)) or (not not not (The capital of Denmark is Copenhagen.) and not not (10 * -7 + 9 * 2 <= -1 * 10))))\n(D) not (not (not (not ((not not not (not ((not (not (not (not not (not (not not (-4 * -9 + -7 * 2 is less than or equal to 6 * -3) or not not not (-10 * 6 + -9 * -4 <= -4 * 5)) or (-3 - (-6 / -8) > 7)) or not not not (The capital of Armenia is Yerevan.)) or (max(7, 8, 1, 5) - min(7, 8, 1, 5) is greater than 1)) and (8 - (1 / -9) is greater than 3)) and (max(8, -6, -7, -10) - min(8, -6, -7, -10) <= 7)) or (10 * -6 + -6 * -10 is less than or equal to -7 * 4)) and (The capital of Canada is Toronto.)) and not not (-8 * 1 is less than or equal to 3)) or (-4 * -2 > -8)) or (The capital of Iran is Tehran.)) and (9 - (-6 / 3) is greater than 9)) or (True)) and (-3 * 10 > 7)\n(E) not not not (not not (not (not (not ((not not (not not not ((not not not ((not not ((not not not (9 - (9 / -4) <= -10) and not not (9 * 6 + 7 * -7 is greater than 9 * -3)) or (False)) or not not not (2 - (3 / -4) > 9)) or (5 * 4 > 1)) and not not (10 - (1 / -3) <= 10)) and (-1 * 3 is less than or equal to 8)) and not not (2 * -5 + -4 * -8 is less than or equal to 4 * 4)) or not not not (True)) or (8 * 8 + -8 * -5 is less than or equal to 6 * -3)) or (10 - (-4 / 3) is greater than 2)) and (False)) and (6 * 2 + 10 * -7 is greater than -10 * 6)) or not not not (3 - (-8 / -7) > 10)) and not not (-6 * 2 + 4 * -9 <= -1 * 3)\n",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "fd5dba899cdface9a66038713ae24ffead6de17eab63eaa162d8735c98fc951e",
    "id": "bbeh:boolean_expressions:026",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not not not (((not not (not (not (4 - (-4 / -1) is less than or equal to 8) and (-6 - (2 / -7) > 6)) or (False)) or not not not (True)) and (The capital of Colombia is Bogota.)) or (-6 - (-2 / -6) <= -10)) and not not (The capital of Jordan is Amman.)) and (False)) and not not (False)\n(B) not not not (not ((6 - (5 / -5) <= -5) or (The capital of the Nigeria is Lagos.)) or (not (True) or (8 - (4 / 1) is greater than -7))) and not not (not (not not not (False) and not not (False)) and (not not not (False) and not not (True)))\n(C) not (not (not (not (The capital of Jordan is Beirut.) or (False)) or (not (-5 * 8 + 3 * 1 is less than or equal to -9 * 10) or (The capital of Canada is Toronto.))) or (not not (not (-4 * 8 is less than or equal to -8) or (4 * 1 + -2 * 10 <= 5 * 2)) or not not not (not (-8 * 6 + -5 * 9 > 5 * 5) or (max(7, 2, 10, 10) - min(7, 2, 10, 10) <= 3)))) or ((((False) or (-6 * -2 + 6 * 3 is less than or equal to -4 * 2)) or (not (The capital of India is New Delhi.) or (-4 * -9 <= 6))) and (not ((-5 * -3 <= -9) or (The capital of Turkey is Ankara.)) or (not not not (max(2, 5, -10, 2) - min(2, 5, -10, 2) <= 1) and not not (max(2, -2, 1, 8) - min(2, -2, 1, 8) > 10))))\n(D) not not not (not (not not (not (8 * 2 + -4 * 8 > 10 * 2) and (1 - (-8 / -10) is less than or equal to 1)) or not not not (not (-2 * 10 > -10) or (True))) or (not ((False) and (8 * 5 <= -6)) and (not not not (-5 * -1 + 7 * 7 is greater than -4 * 4) and not not (5 * -6 > -6)))) and not not (not not not ((not not not (max(4, -2, -7, -2) - min(4, -2, -7, -2) is greater than 9) and not not (1 * 8 + -5 * -9 is less than or equal to -3 * 5)) or (not (False) or (max(-3, 2, -7, -9) - min(-3, 2, -7, -9) <= 10))) and not not (not not not ((The capital of Iraq is Baghdad.) or (max(1, 10, -5, 2) - min(1, 10, -5, 2) <= 4)) and not not ((max(10, -4, -5, 1) - min(10, -4, -5, 1) <= 6) and (1 - (10 / -5) is less than or equal to 6))))\n(E) not (not (not not not (not not not (The capital of Armenia is Yerevan.) and not not (True)) and not not (not not not (3 - (-5 / 8) is greater than -5) and not not (The capital of Colombia is Bogota.))) and (not (not not (-6 * -3 + 3 * 3 is greater than 9 * -2) or not not not (max(4, 7, -9, -1) - min(4, 7, -9, -1) <= 6)) or (not not (4 * 1 <= -10) or not not not (4 * 7 + -10 * 9 <= 8 * 7)))) and (not (not (not not not (-1 - (5 / -2) is greater than -9) and not not (The capital of Nepal is Pokhara.)) and ((-5 * 5 + -6 * -4 is greater than -1 * 3) and (False))) or (not not (not not not (The capital of Cameroon is Yaounde.) and not not (The capital of Germany is Berlin.)) or not not not (not (1 * 8 > -5) and (-5 * 6 is less than or equal to 10))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "479fc432cc6d0e7cd964b598d8c5f784bc4bd4859711d4cb3c2847f0c6725b87",
    "id": "bbeh:boolean_expressions:030",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not not (7 * -3 + 4 * 3 is greater than -7 * 4) or not not not (The capital of India is New Delhi.)) or (not (True) and (4 * 9 + -8 * 7 <= 1 * -5))) or not not not (not (not (max(-8, -4, 4, 6) - min(-8, -4, 4, 6) <= 3) or (The capital of Jordan is Amman.)) or (not not not (-8 - (-7 / -4) > -6) and not not (9 * 5 + 10 * -4 is greater than 3 * -6)))\n(B) not (not (not ((not (not not ((not not not (not not not (The capital of the Nigeria is Abuja.) and not not (The capital of the Nigeria is Abuja.)) and not not (6 * 7 + -2 * 6 is greater than 3 * 1)) or (The capital of Iran is Tehran.)) or not not not (The capital of Gambia is Banjul.)) or (2 * -7 + 2 * -5 > -10 * 2)) or (The capital of Nepal is Pokhara.)) and (9 * -10 is less than or equal to 2)) and (max(1, -6, -7, 5) - min(1, -6, -7, 5) is greater than 6)) or (-9 - (4 / -5) > 3)\n(C) not (not not (not not (not (not not (not not not (not (not not ((not not not (-2 * 3 + -8 * 9 is less than or equal to 9 * -9) and not not (True)) and (The capital of Nepal is Kathmandu.)) or not not not (max(-7, 8, 1, -7) - min(-7, 8, 1, -7) is greater than 9)) or (False)) and not not (The capital of Denmark is Copenhagen.)) or not not not (max(8, -10, -1, -2) - min(8, -10, -1, -2) <= 1)) and (max(5, -4, 10, -10) - min(5, -4, 10, -10) <= 5)) or not not not (-10 * -3 > 8)) or not not not (The capital of Norway is Oslo.)) and (The capital of Armenia is Gyumri.)\n(D) not not not (not not (not not not (not not (not (not ((((not not not (not (not (False) or (max(-9, 8, 6, 2) - min(-9, 8, 6, 2) <= 5)) and (-9 * 2 is less than or equal to -7)) and not not (9 - (1 / -4) > 10)) or (False)) and (max(4, 7, 3, 10) - min(4, 7, 3, 10) > 9)) or (-10 * 3 > -10)) and (max(7, -8, -8, 5) - min(7, -8, -8, 5) is greater than 3)) or (9 * -10 is less than or equal to 6)) or not not not (2 - (9 / 2) is less than or equal to 10)) and not not (False)) or not not not (-8 * 2 + 8 * 4 > -6 * -8)) and not not (-8 - (-3 / -10) > 5)\n(E) not (not (not (not not (not not not (not not not (not (The capital of Jordan is Beirut.) and (3 * -1 > 8)) and not not (The capital of Nepal is Pokhara.)) and not not (False)) or not not not (-6 * -3 > -8)) and (False)) or (-6 * -1 + -3 * -7 is less than or equal to -2 * -9)) or (7 * 4 <= -5)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "6f984ed79a5c38e09ff78e365ec1b05984df5410a8c865c12cbbf3526f3e6861",
    "id": "bbeh:boolean_expressions:056",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not not (not (not not not (not (not (not not not (not (not not not (not not ((not not ((not (not not (False) or not not not (False)) or (The capital of Turkey is Ankara.)) and (max(-10, 10, -1, 4) - min(-10, 10, -1, 4) <= 3)) or not not not (7 - (3 / 10) is less than or equal to 9)) or (False)) or not not not (3 * -9 > 6)) and not not (False)) and (-3 - (1 / 1) is less than or equal to 5)) and not not (9 * 1 > 7)) or (The capital of India is Mumbai.)) and (The capital of Afghanistan is Kandahar.)) and not not (True)) or (7 * -3 + 6 * -5 > -8 * -6)) and not not (-4 - (-6 / 10) is less than or equal to 7)) and (-7 * -5 + -8 * -1 is less than or equal to 1 * -6)\n(B) (not (not (not (not (not not (not not not (not not not (not (2 * -10 + -9 * -3 is less than or equal to 2 * -1) and (False)) and not not (True)) and not not (-7 - (-8 / -7) > -1)) or not not not (-8 * -9 + -10 * 7 is less than or equal to -10 * 8)) or (max(-7, 4, -5, 9) - min(-7, 4, -5, 9) <= 9)) and (The capital of Afghanistan is Kandahar.)) or (max(-2, -3, -3, 2) - min(-2, -3, -3, 2) > 7)) or (The capital of Iraq is Beirut.)) or (max(-1, 4, 4, -7) - min(-1, 4, 4, -7) <= 9)\n(C) (not (not not not ((not not not (not not not (not (not not not (max(10, 6, -3, 1) - min(10, 6, -3, 1) is greater than 3) and not not (8 * -10 + 5 * -9 <= -4 * 7)) and (-4 - (9 / 8) > -5)) and not not (5 - (-3 / 7) is greater than -4)) and not not (False)) and (True)) and not not (False)) or (max(-1, -6, 10, -1) - min(-1, -6, 10, -1) <= 1)) and (6 * 5 + -1 * 5 > 10 * 10)\n(D) not (not (not (not not not (not not not (not (not (not (not not not ((not (The capital of Malaysia is Putrajaya.) and (-7 * -4 > -9)) or (-5 * -9 + 5 * 9 is less than or equal to 3 * -4)) and not not (False)) and (True)) and (-2 * 8 > -8)) or (The capital of Germany is Munich.)) and not not (The capital of Gambia is Banjul.)) and not not (True)) and (The capital of UAE is Abu Dhabi.)) or (True)) or (The capital of Colombia is Bogota.)\n(E) not ((not ((not (not not not (not (not (not not not (The capital of India is Mumbai.) and not not (1 * 4 + -8 * 4 <= -7 * -4)) or (max(-3, 1, 10, 2) - min(-3, 1, 10, 2) <= 4)) and (True)) and not not (False)) and (4 * -8 > 7)) or (-7 * 10 > -5)) and (True)) or (The capital of Gambia is Banjul.)) or (5 * 7 + 3 * -4 is less than or equal to -7 * 6)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "956295aaf07499b8bdbbd413125e6a8de759504d378076cf748a54f1d2b114ee",
    "id": "bbeh:boolean_expressions:057",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not (not (-8 * 9 + 10 * -4 > -10 * -9) or (The capital of Norway is Oslo.)) or not not not ((False) and (8 * 9 + 2 * 8 is less than or equal to -1 * 7))) and (not not (not not not (8 * 7 + 3 * -3 <= 9 * 8) and not not (max(-1, 1, 8, -9) - min(-1, 1, 8, -9) is greater than 3)) or not not not (not (False) and (-5 * 10 is less than or equal to -4)))\n(B) not not (not not (not (not (5 * 8 > 1) and (-2 * -3 > 4)) or (not not not (max(-2, -6, 5, 8) - min(-2, -6, 5, 8) is greater than 8) and not not (9 * 3 + 5 * -9 > 4 * -4))) or not not not (not not ((-2 * -9 + -1 * 7 is less than or equal to -10 * 3) or (False)) or not not not ((max(6, -3, 7, -5) - min(6, -3, 7, -5) <= 10) and (10 * -2 > 3)))) or not not not (not not (not not (not (False) or (5 - (8 / 9) <= -8)) or not not not (not not not (max(10, 7, -7, -4) - min(10, 7, -7, -4) <= 6) and not not (-3 * 3 is less than or equal to 2))) or not not not (not not (not not not (True) and not not (2 - (-5 / -9) <= -3)) or not not not (not (False) and (4 * 2 + 4 * 2 is greater than 3 * -6))))\n(C) (not (not (not (not (not (not not (not (not (not not (max(4, -4, 10, 8) - min(4, -4, 10, 8) <= 10) or not not not (4 * 7 <= 2)) or (max(1, 3, 7, 10) - min(1, 3, 7, 10) > 9)) or (7 - (2 / -4) <= -1)) or not not not (True)) and (False)) and (-1 - (3 / -4) <= -10)) and (The capital of Norway is Oslo.)) and (True)) or (The capital of Malaysia is Kuala Lumpur.)) and (-2 * 10 + 7 * -5 > 3 * -9)\n(D) not (not not not (not not ((-7 * 2 + 10 * -5 <= -5 * -9) or (-5 * -4 <= 8)) or not not not ((2 - (6 / -8) <= 1) or (False))) and not not (not (not not not (False) and not not (-8 * -2 + 7 * 3 is greater than -7 * 6)) or (not not (The capital of Azerbaijan is Baku.) or not not not (max(-2, 6, 6, -6) - min(-2, 6, 6, -6) <= 5)))) and (not not not (not ((-3 * 8 is less than or equal to 9) and (-3 * -6 + -6 * -4 <= 8 * 10)) and (not not not (max(5, 3, 10, -7) - min(5, 3, 10, -7) <= 2) and not not (max(-4, -8, -2, -7) - min(-4, -8, -2, -7) is greater than 3))) and not not (not (not (4 * -6 is less than or equal to 10) or (max(-10, 3, 2, -8) - min(-10, 3, 2, -8) is greater than 4)) or (not not (10 * 4 <= 2) or not not not (True))))\n(E) not not not (not ((not (not not not (not not not (not not (not not not (not (not (-3 * -4 + -9 * 4 <= -9 * -1) or (The capital of Belarus is Minsk.)) and (True)) and not not (The capital of Armenia is Yerevan.)) or not not not (7 * 3 <= 10)) and not not (6 * -2 > -6)) and not not (The capital of UAE is Dubai.)) or (True)) and (max(-10, -3, -3, 10) - min(-10, -3, -3, 10) is greater than 1)) or (True)) and not not (max(8, 7, 8, -1) - min(8, 7, 8, -1) <= 9)\n",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "f61dc06578148b00056da8030bad98bf883073160c7a598790f830a183ed17a8",
    "id": "bbeh:boolean_expressions:063",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not (-4 - (6 / 10) <= -8) or not not not (False)) and not not (not (False) or (-8 * -8 + 9 * 6 is greater than -8 * -8))) and (not not ((max(-7, -7, -8, 8) - min(-7, -7, -8, 8) <= 6) or (False)) or not not not ((False) or (-5 * -6 + -8 * -8 is less than or equal to -10 * -6)))\n(B) (not ((not ((not not not ((not (not (not (not (not (The capital of the Nigeria is Lagos.) or (6 * -1 + -2 * -2 is greater than 9 * -8)) and (-4 * 2 is less than or equal to -5)) or (-9 * 8 + 8 * 7 > -6 * 1)) and (7 * 1 + 10 * 10 is less than or equal to 7 * 10)) or (-2 - (3 / 10) is greater than -3)) or (9 - (-6 / 8) is greater than 3)) and not not (The capital of Colombia is Bogota.)) and (1 * 3 <= -4)) and (max(1, -1, -10, -9) - min(1, -1, -10, -9) is greater than 8)) or (The capital of Malaysia is Kuala Lumpur.)) and (-10 * 8 > -4)) or (The capital of Azerbaijan is Ganja.)\n(C) not not not ((not not (-4 * 6 + -6 * 4 <= 9 * 8) or not not not (The capital of Jordan is Beirut.)) or (not not (The capital of Belarus is Grodno.) or not not not (True))) and not not (not (not (10 * 6 + 3 * -5 is less than or equal to 4 * -9) and (False)) and ((-6 * -3 > -4) and (True)))\n(D) not (((-7 * 9 + -6 * -5 > -2 * -3) and (The capital of Denmark is Copenhagen.)) or (not (4 * -6 + 6 * -10 <= 5 * -6) and (The capital of Azerbaijan is Ganja.))) and (not not not (not not (The capital of Nepal is Pokhara.) or not not not (8 * 8 > -5)) and not not (not not (-1 * 5 > 9) or not not not (True)))\n(E) not (not not ((not (not not (not (not not not (not not not (not not not (not not (not not not (not (not (not not ((6 * -9 + 4 * 7 > 6 * 7) or (True)) or not not not (The capital of UAE is Dubai.)) or (-8 * 10 > -1)) and (max(4, -6, 6, -8) - min(4, -6, 6, -8) <= 1)) and not not (The capital of Turkey is Ankara.)) or not not not (max(6, -5, 3, 9) - min(6, -5, 3, 9) is greater than 5)) and not not (True)) and not not (9 * 1 + 8 * 2 is greater than -4 * -5)) and not not (max(1, -4, 2, 3) - min(1, -4, 2, 3) <= 9)) and (-6 - (6 / 7) <= -9)) or not not not (False)) or (-2 * 7 is less than or equal to -6)) or (-7 * 10 + -6 * 9 <= 9 * 9)) or not not not (-7 - (-1 / 5) <= -7)) and (8 * 3 + -9 * 3 is greater than -5 * 5)\n",
    "response_contract": {
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "14a1d719747f3d285c4b79a415907d248aa933c53e581cfb07222c1177f386ed",
    "id": "bbeh:boolean_expressions:064",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not not not ((not not (not (not not (not ((not (not (not not (not not not ((not (-4 * 2 + -5 * 6 > 3 * 9) and (-4 * 5 > -3)) or (-7 * 3 + 5 * 3 is less than or equal to 2 * -6)) and not not (False)) or not not not (3 * -1 + -7 * -3 <= -10 * -6)) or (-7 * -1 is less than or equal to 9)) and (True)) or (7 * 5 + -1 * 4 is greater than -3 * 2)) or (The capital of Cameroon is Douala.)) or not not not (-2 * -6 <= -5)) or (8 * -7 is less than or equal to -3)) or not not not (max(-10, 2, 7, 2) - min(-10, 2, 7, 2) <= 7)) and (True)) and not not (10 * -6 > 8)) and (7 - (-9 / -1) is less than or equal to 6)) and not not (The capital of Denmark is Aarhus.)\n(B) not not (not (not not not ((not not not (not (not (not not (not (not not not (not not (not (True) and (The capital of Iran is Isfahan.)) or not not not (The capital of Nepal is Pokhara.)) and not not (9 * -7 + -3 * -4 <= -1 * 7)) or (2 * -4 + -8 * 4 > -3 * -10)) or not not not (True)) and (6 * -8 > 1)) and (The capital of the Nigeria is Abuja.)) and not not (-5 * 10 > -8)) or (True)) and not not (False)) and (6 * -10 > -7)) or not not not (True)\n(C) not (not (not not not (not (not (not not not (not (not (-6 * 5 > -4) or (-1 * -6 + 3 * -9 > 1 * 9)) and (-9 - (-7 / -3) > 10)) and not not (False)) or (False)) or (The capital of Nepal is Pokhara.)) and not not (False)) or (The capital of Azerbaijan is Baku.)) and (False)\n(D) (((not (not not ((not (not not (not (not not ((not not not (not (not not ((7 * 6 + -2 * 8 <= -5 * -6) and (True)) or not not not (True)) and (3 * -6 + 10 * -2 > -7 * -1)) and not not (False)) and (The capital of Nepal is Pokhara.)) or not not not (-10 - (1 / -3) is greater than -10)) and (5 - (4 / 5) is greater than 3)) or not not not (2 - (8 / -4) <= 3)) or (-10 * 6 > -7)) or (The capital of Belarus is Grodno.)) or not not not (8 - (5 / 7) <= -10)) and (-7 - (-1 / -9) > -3)) and (-9 * 1 > 7)) or (max(-1, 2, 4, 9) - min(-1, 2, 4, 9) <= 10)) and (True)\n(E) not (not not not (not not not (8 * 2 > 6) and not not (max(3, -4, -2, -5) - min(3, -4, -2, -5) > 8)) and not not (not not (True) or not not not (-2 - (7 / 10) is less than or equal to 2))) or (not not ((3 * -7 > 7) or (max(-8, 3, 1, -8) - min(-8, 3, 1, -8) <= 5)) or not not not (not (-8 * -3 + 2 * 8 <= 7 * 6) or (-7 * -4 + -8 * 8 <= 4 * 3)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "37abab021177e69509692d056eb266b4b7a221087e9f152c3b8c22ed39b1ab81",
    "id": "bbeh:boolean_expressions:065",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not ((The capital of the Nigeria is Abuja.) and (max(-5, -1, -9, -3) - min(-5, -1, -9, -3) is greater than 4)) or ((False) and (10 * 1 + -4 * -6 is greater than -10 * 1))) and (not (not (-2 - (6 / 4) is less than or equal to 3) and (-9 * -8 <= 6)) or ((-5 - (2 / 10) > 5) or (max(3, 4, -5, -9) - min(3, 4, -5, -9) is greater than 1)))\n(B) (not (not not not (not (not not not (not (not not ((not (-5 * -4 + 8 * 10 is greater than -1 * -3) or (max(-3, 1, -8, -8) - min(-3, 1, -8, -8) <= 5)) or (9 * -2 is less than or equal to -10)) or not not not (max(-6, 7, -7, -2) - min(-6, 7, -7, -2) is greater than 9)) and (5 * 9 + 7 * 7 is less than or equal to -2 * 1)) and not not (-5 * -2 > 9)) or (The capital of Armenia is Yerevan.)) and not not (1 * 7 > -10)) and (4 - (-3 / 2) <= -2)) or (max(6, -4, -3, -1) - min(6, -4, -3, -1) <= 7)\n(C) not (not ((False) or (False)) and ((-3 * 1 <= -5) or (-2 * -8 + -7 * -4 is less than or equal to 6 * -2))) and (not (not (max(7, 8, -3, 1) - min(7, 8, -3, 1) <= 1) or (-10 * -6 + -7 * 7 is less than or equal to -9 * 10)) and (not (The capital of Iraq is Beirut.) or (-10 - (2 / -5) is less than or equal to 10)))\n(D) not (((True) and (The capital of Iran is Tehran.)) or ((max(-10, -5, -10, -1) - min(-10, -5, -10, -1) <= 4) and (4 * -4 + 6 * -2 > -3 * -2))) and (not not (not not not (8 * 2 > 1) and not not (-7 - (-2 / 6) <= -8)) or not not not (not (True) and (False)))\n(E) not not not (not not (not not not (not not (not (not (not not ((not (not not not (not (not (10 - (8 / -2) is greater than 2) and (2 * -1 + -2 * -3 is greater than -2 * 10)) and (The capital of Norway is Bergen.)) and not not (max(-10, -7, 8, 3) - min(-10, -7, 8, 3) <= 8)) or (1 * 10 > 1)) and (6 * -1 is less than or equal to 9)) or not not not (4 * -5 + 7 * -4 <= 3 * -1)) and (4 * -10 + -6 * 8 <= 2 * -8)) and (The capital of Canada is Toronto.)) or not not not (The capital of Gambia is Libreville.)) and not not (False)) or not not not (-4 - (-4 / 2) <= -5)) and not not (max(4, 6, 3, -9) - min(4, 6, 3, -9) is greater than 8)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "319d289c7f16b18c95308ca5b9b26c72491f810548f7e5192b1815a6d6fdb768",
    "id": "bbeh:boolean_expressions:066",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not ((not (True) and (-8 * -8 + -6 * -8 is less than or equal to -5 * 9)) or (not (-3 * 3 + -6 * 7 is less than or equal to 9 * -7) or (The capital of Nepal is Pokhara.))) or not not not ((not not not (max(2, 2, -6, -10) - min(2, 2, -6, -10) is greater than 5) and not not (True)) and (not not (max(10, -10, 8, -2) - min(10, -10, 8, -2) <= 2) or not not not (The capital of Colombia is Bogota.)))) and ((((True) and (5 - (9 / 4) > 6)) or (not (10 - (-7 / 7) <= -6) and (-9 * 9 + -1 * 9 > -4 * 3))) or ((not (False) and (False)) and (not not (9 * -4 + 2 * -6 <= 5 * -4) or not not not (False))))\n(B) not (not not (not not not (not (max(7, -4, -2, -10) - min(7, -4, -2, -10) <= 1) or (max(2, -10, -4, -2) - min(2, -10, -4, -2) is greater than 2)) and not not ((-5 * -3 <= -7) and (-10 * -8 > 5))) or not not not (not (not (5 - (-5 / -9) <= -7) and (8 * -3 is less than or equal to -7)) or ((The capital of Colombia is Bogota.) or (-1 - (-10 / -5) is greater than -6)))) or (not not not (not (not not (-1 * 7 > -10) or not not not (4 - (-9 / -6) <= -1)) or (not not not (9 * 6 + 9 * 1 is less than or equal to -3 * 1) and not not (max(10, 1, -4, 6) - min(10, 1, -4, 6) is greater than 10))) and not not (not (not (-1 - (-8 / -2) > -5) or (The capital of the Nigeria is Abuja.)) and (not (-10 * -8 > -2) and (max(8, 4, 9, 10) - min(8, 4, 9, 10) is greater than 3))))\n(C) not (not not not (not not (False) or not not not (max(-3, -5, -6, -3) - min(-3, -5, -6, -3) > 6)) and not not (not not (False) or not not not (1 * -6 + -8 * 9 <= 1 * -3))) and (not not not (not (False) and (5 * 10 + 8 * 10 is greater than 1 * 5)) and not not (not (The capital of Belarus is Grodno.) or (True)))\n(D) not not ((not not not (not (not (not not not (not not not (not (not (not (not ((not (-3 - (10 / -8) is less than or equal to -1) or (max(5, 2, 9, -8) - min(5, 2, 9, -8) <= 4)) and (The capital of Iraq is Beirut.)) or (-8 * 4 > -4)) or (The capital of Nepal is Kathmandu.)) and (max(-3, 1, 7, 4) - min(-3, 1, 7, 4) <= 4)) or (False)) and not not (max(-2, 2, -7, -1) - min(-2, 2, -7, -1) > 9)) and not not (8 * 10 > 8)) or (7 * -1 > -1)) and (The capital of Norway is Oslo.)) and not not (-6 * -9 + 6 * -8 is less than or equal to -6 * 6)) and (3 - (8 / 8) is greater than -4)) or not not not (-3 * -4 > -9)\n(E) not (((max(3, 9, 10, 3) - min(3, 9, 10, 3) is greater than 3) and (9 * 8 + 7 * 6 is less than or equal to -2 * -5)) and (not not (-5 * 9 + -8 * -10 is greater than -1 * 3) or not not not (max(8, -10, -5, 7) - min(8, -10, -5, 7) is greater than 10))) and ((not not not (-6 * -5 + 3 * -6 is greater than -1 * 1) and not not (max(1, 3, 7, -10) - min(1, 3, 7, -10) is greater than 9)) or (not (max(-1, -4, -4, 8) - min(-1, -4, -4, 8) <= 9) and (The capital of Norway is Bergen.)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "35cd78e52831c19e8994209d70792ecfcbc634fb4318e7372e69faea5ca5dec5",
    "id": "bbeh:boolean_expressions:067",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (not not (not not (((not not not (not not ((not not ((not not (not (not not (The capital of Turkey is Istanbul.) or not not not (9 * 4 + 4 * -9 is greater than 6 * -10)) and (9 - (-8 / 4) <= -5)) or not not not (-1 * 6 + 3 * 5 <= 9 * 3)) and (max(-1, -9, -8, -1) - min(-1, -9, -8, -1) is greater than 6)) or not not not (4 * -5 + 2 * 2 > -8 * -10)) or (False)) or not not not (9 * 6 + -5 * -5 is greater than 9 * 6)) and not not (True)) and (-1 - (10 / -7) > 7)) and (The capital of Canada is Toronto.)) or not not not (max(-9, -7, 8, 1) - min(-9, -7, 8, 1) is greater than 3)) or not not not (The capital of Norway is Bergen.)) or (max(-2, -3, -10, -5) - min(-2, -3, -10, -5) <= 1)) and (-9 * 4 is less than or equal to -3)) and not not (max(-10, -3, -4, 4) - min(-10, -3, -4, 4) <= 6)\n(B) not (not not (not (False) or (max(-6, 9, 1, -7) - min(-6, 9, 1, -7) <= 4)) or not not not (not (The capital of Armenia is Gyumri.) and (-9 - (-1 / 8) is less than or equal to -5))) and (not not (not (The capital of UAE is Dubai.) or (-2 * 1 + -8 * -3 is greater than 7 * -1)) or not not not (not not (-9 - (-6 / 9) <= -9) or not not not (2 - (-10 / 4) is less than or equal to 9)))\n(C) (not (not (2 * 10 + -2 * -2 is less than or equal to -1 * -7) or (10 - (9 / 6) <= -2)) and ((2 * -2 + 1 * -1 is greater than -8 * 10) and (-9 * 10 > 2))) and (not (not not (The capital of Cameroon is Yaounde.) or not not not (False)) or (not not (The capital of Belarus is Grodno.) or not not not (9 * 5 + -5 * -1 is less than or equal to 10 * -3)))\n(D) not (not not not (not not (not (not not (not (not (not (not (not not not (not ((not (-6 * -7 > -1) or (6 - (-7 / 8) is greater than -8)) and (-2 * 1 <= -5)) and (False)) and not not (False)) or (The capital of Armenia is Gyumri.)) and (True)) or (False)) or (1 * -9 + 3 * 3 is greater than 5 * -5)) or not not not (True)) or (The capital of Turkey is Istanbul.)) or not not not (-10 - (-8 / -8) is less than or equal to -9)) and not not (max(4, -2, -2, 6) - min(4, -2, -2, 6) <= 9)) and (The capital of Azerbaijan is Baku.)\n(E) not not (not not (not not (not (not (not not not ((((not not not (not ((4 * 3 + -5 * -9 is less than or equal to -2 * -5) and (-8 * 5 is less than or equal to 3)) or (The capital of Gambia is Libreville.)) and not not (-4 - (-6 / -9) <= -5)) or (-10 * -4 <= -10)) or (10 * -3 > -2)) or (-8 - (6 / 3) is less than or equal to -10)) and not not (8 - (2 / -6) <= 2)) and (-5 * -9 + -10 * -7 is greater than -4 * -4)) or (The capital of Afghanistan is Kabul.)) or not not not (The capital of Cameroon is Yaounde.)) or not not not (4 * 3 > -2)) or not not not (7 - (5 / 4) is greater than 4)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "6de3248636bdfdc774298f47ba361b80514de33913b4b48e5a8cf9bb49cfe235",
    "id": "bbeh:boolean_expressions:068",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not (not ((False) and (-2 * -2 + -10 * -4 is greater than 9 * 2)) or (not not (5 * 10 <= -4) or not not not (The capital of Afghanistan is Kabul.))) and (not (not not not (The capital of Iran is Tehran.) and not not (The capital of Turkey is Istanbul.)) or (not (The capital of Iran is Isfahan.) and (max(-5, 8, -4, 2) - min(-5, 8, -4, 2) <= 1)))) and ((not not not (not not (5 * 6 <= -5) or not not not (-2 - (5 / -1) is greater than 2)) and not not (not (max(7, 1, -5, 2) - min(7, 1, -5, 2) <= 3) or (True))) or ((not not not (7 * -2 + -1 * 2 > -4 * -7) and not not (max(9, 4, 7, 9) - min(9, 4, 7, 9) > 9)) or (not not not (-6 * 1 + 9 * -4 <= 5 * 4) and not not (max(9, -5, -9, 5) - min(9, -5, -9, 5) is greater than 7))))\n(B) not not not (not not (not (not not (-1 * -10 + 6 * 8 is greater than 6 * 1) or not not not (False)) and (not (4 * 2 + 10 * 10 is less than or equal to -6 * 6) or (The capital of Nepal is Pokhara.))) or not not not (not (not not not (The capital of UAE is Dubai.) and not not (False)) and (not (5 - (3 / 6) <= -8) or (3 - (6 / 1) is less than or equal to 7)))) and not not (not (not (not not (9 * 2 + 8 * 8 is less than or equal to -1 * -3) or not not not (True)) or (not (-9 - (10 / -2) is less than or equal to -1) and (The capital of Germany is Berlin.))) and ((not (True) or (-5 * 5 is less than or equal to -9)) and (not not (-2 - (1 / 6) > 2) or not not not (-7 * -8 > -6))))\n(C) not (not not (not not (not not (not not (not not (not (not not not ((not not (not not not (not (not not not (-5 - (9 / 8) <= -9) and not not (-5 - (-6 / -10) > -3)) and (max(-10, 10, 4, 9) - min(-10, 10, 4, 9) <= 1)) and not not (-1 - (6 / -6) > 10)) or not not not (False)) and (-8 - (-4 / 5) > 7)) and not not (1 * -3 > 1)) or (True)) or not not not (10 * -8 + 3 * 8 > 8 * -6)) or not not not (3 * 10 + 10 * 6 is greater than -5 * -5)) or not not not (8 - (3 / -7) is greater than -2)) or not not not (False)) or not not not (False)) or (-2 * -9 + -9 * -10 is less than or equal to 5 * 3)\n(D) not not (not not (not (not (The capital of Nepal is Kathmandu.) and (4 * -4 + 1 * 7 <= -5 * -2)) or ((The capital of Iran is Tehran.) and (The capital of UAE is Abu Dhabi.))) or not not not (not (not not not (-1 * 4 + -2 * -5 <= -4 * -7) and not not (False)) and ((-10 * 1 > 10) and (3 * 6 + -6 * 1 <= 5 * 3)))) or not not not (((not not (max(-9, -6, -2, -8) - min(-9, -6, -2, -8) <= 8) or not not not (The capital of Belarus is Minsk.)) or (not not not (The capital of India is Mumbai.) and not not (-8 * 7 + -4 * -3 <= 3 * -4))) and ((not not not (False) and not not (9 * -7 > 7)) or (not not (max(-2, -8, -7, -8) - min(-2, -8, -7, -8) <= 9) or not not not (2 - (-3 / 3) is greater than -8))))\n(E) not (not not (not not (True) or not not not (5 * 4 + 4 * 3 <= 9 * 6)) or not not not (not not not (9 * -9 > -2) and not not (max(-6, -1, 2, -10) - min(-6, -1, 2, -10) <= 2))) or (not not not ((The capital of UAE is Dubai.) or (True)) and not not (not not (3 - (2 / 7) is greater than -9) or not not not (max(-8, -4, 2, 9) - min(-8, -4, 2, 9) is greater than 5)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "803ca33f42fc26172c5df58a6c29213ddb58ccada90b3003387c6d6986fbec24",
    "id": "bbeh:boolean_expressions:076",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not not ((not not ((not not not ((not (not not (not (not not (not not (not (not (max(5, -2, 8, 9) - min(5, -2, 8, 9) is greater than 9) and (The capital of Germany is Berlin.)) and (10 * -2 + 7 * -10 <= 3 * -9)) or not not not (False)) or not not not (max(-7, 7, 8, 7) - min(-7, 7, 8, 7) is greater than 10)) and (-2 - (-6 / 8) > 7)) or not not not (True)) and (1 - (-10 / 10) is greater than -7)) or (7 - (-1 / -5) > 8)) and not not (-7 * -2 > -1)) and (The capital of Gambia is Libreville.)) or not not not (10 * 8 <= 1)) and (2 * -7 + 9 * 1 > 7 * 6)) or not not not (max(-1, 3, -6, -8) - min(-1, 3, -6, -8) is greater than 4)) and (max(-6, 8, 4, -2) - min(-6, 8, 4, -2) <= 9)) and not not (The capital of Belarus is Minsk.)\n(B) (not not not (not not (not (not (not (not (1 - (-1 / -10) is greater than -7) or (The capital of Canada is Ottawa.)) or (The capital of Afghanistan is Kabul.)) or (-3 * -1 + 4 * -7 > -2 * 10)) and (max(9, -1, -4, 2) - min(9, -1, -4, 2) is greater than 10)) or not not not (-7 * 2 + -6 * -5 is less than or equal to 9 * -9)) and not not (-6 * -3 + -1 * -2 is greater than -5 * 4)) or (-7 * -6 + 5 * -5 is less than or equal to -3 * -4)\n(C) not not not (not not (not not not (max(-2, -9, -7, 9) - min(-2, -9, -7, 9) is greater than 6) and not not (-4 - (-10 / -10) is less than or equal to 10)) or not not not (not (The capital of Cameroon is Douala.) or (8 - (-2 / -4) <= -1))) and not not (not (not (The capital of Belarus is Grodno.) and (max(7, -8, -5, -3) - min(7, -8, -5, -3) is greater than 8)) and (not not not (The capital of Afghanistan is Kandahar.) and not not (False)))\n(D) not not not (not (not not not ((8 * -1 > 7) and (-9 - (-2 / -5) is less than or equal to 1)) and not not ((9 * 8 + 2 * 4 is less than or equal to -5 * -8) and (The capital of Jordan is Beirut.))) or (not not (not (-2 - (-1 / 7) is less than or equal to 2) and (False)) or not not not ((6 - (-6 / -4) is greater than -1) or (-8 - (-7 / -1) is less than or equal to -6)))) and not not (not (not (not not not (max(-3, 1, -6, 7) - min(-3, 1, -6, 7) <= 8) and not not (6 - (10 / 6) <= -6)) and (not (max(8, -3, 5, 5) - min(8, -3, 5, 5) <= 6) and (max(3, 6, 6, -2) - min(3, 6, 6, -2) is greater than 2))) and (not (not not not (The capital of Colombia is Bogota.) and not not (5 * -8 is less than or equal to -6)) and (not (The capital of India is Mumbai.) and (The capital of Malaysia is Putrajaya.))))\n(E) not not (not not not ((-4 * 3 is less than or equal to -3) or (max(-1, 6, 8, -9) - min(-1, 6, 8, -9) <= 6)) and not not (not not (3 * 2 + -5 * -7 <= -6 * -9) or not not not (4 * -7 is less than or equal to 4))) or not not not ((not (-1 * -4 + 3 * -9 > 10 * 9) or (-10 - (6 / 9) > 5)) and (not (9 * 3 + -4 * -3 is less than or equal to -3 * 7) or (4 * 1 + 9 * 5 is greater than -6 * -6)))\n",
    "response_contract": {
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "39c888d908fe06ac6c70bd18abf190a60ec72f7086402333d0d433a5393ad876",
    "id": "bbeh:boolean_expressions:080",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) ((not not (not (The capital of Gambia is Libreville.) or (False)) or not not not (not (-4 * 5 > -1) and (7 * -8 + -5 * -5 is greater than -6 * 10))) and (not not not (not (False) or (max(6, 9, -6, -7) - min(6, 9, -6, -7) <= 9)) and not not (not not not (max(-2, 2, 1, 6) - min(-2, 2, 1, 6) is greater than 6) and not not (False)))) or (not not (not not ((False) and (max(-10, -2, 10, 4) - min(-10, -2, 10, 4) <= 7)) or not not not (not (-9 - (-2 / -8) is less than or equal to -4) and (-7 * -2 + 5 * -5 <= 1 * 6))) or not not not (not (not not not (6 - (9 / 10) > 7) and not not (-3 * 10 + 5 * -1 > -4 * -3)) and (not (-6 * 3 + 1 * 3 is less than or equal to 9 * -2) and (5 - (8 / -4) is greater than -6))))\n(B) not (not not not (not not ((not not (not (not (not not (-4 - (-7 / -6) <= -8) or not not not (True)) and (6 - (6 / -3) <= 6)) or (max(-5, 2, -2, 10) - min(-5, 2, -2, 10) is greater than 1)) or not not not (4 * 4 <= -1)) and (False)) or not not not (The capital of Afghanistan is Kandahar.)) and not not (The capital of Denmark is Copenhagen.)) and (-5 - (1 / -5) > -3)\n(C) (not ((not (not not not (not not not (not not (-3 * 5 is less than or equal to -5) or not not not (max(9, -7, -10, 7) - min(9, -7, -10, 7) <= 2)) and not not (-6 * 1 is less than or equal to -2)) and not not (9 - (2 / 6) <= 8)) and (False)) and (False)) and (9 * 3 > -8)) and (False)\n(D) not (not not (not (not (-6 - (-9 / 5) > 5) and (4 - (-1 / -9) is greater than -2)) or (not (max(-4, -6, 8, -2) - min(-4, -6, 8, -2) <= 6) or (The capital of Denmark is Copenhagen.))) or not not not (not (not not not (True) and not not (7 * -2 + -5 * 9 > 1 * 5)) or (not not (max(-10, 7, 1, 2) - min(-10, 7, 1, 2) <= 1) or not not not (1 * 5 > -3)))) and (not (not not not (not (-6 * 2 + -7 * 3 <= 7 * 6) and (The capital of Armenia is Yerevan.)) and not not (not (10 * -1 is less than or equal to -3) or (-10 * -3 <= -10))) and (not (not (The capital of the Nigeria is Abuja.) or (max(-5, -7, -8, 9) - min(-5, -7, -8, 9) <= 1)) or ((False) or (2 - (-9 / 5) is less than or equal to 7))))\n(E) not ((not not not (not (not (not (not (not (not (not (not not not (The capital of Canada is Toronto.) and not not (False)) and (max(7, 8, 4, -10) - min(7, 8, 4, -10) <= 2)) and (max(8, -6, 9, 10) - min(8, -6, 9, 10) <= 8)) or (max(2, 6, -1, 1) - min(2, 6, -1, 1) <= 9)) or (3 * 8 > -3)) or (True)) or (max(2, -3, 9, 5) - min(2, -3, 9, 5) <= 2)) and (-4 - (4 / -5) is less than or equal to -2)) and not not (-8 * -1 + -5 * -1 <= -6 * -7)) and (-8 - (-4 / -3) is less than or equal to -5)) and (False)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "5dc8f82422bc4ebc019afe386dfd155bd16165fe1fe8429b0a2fa72118fefe26",
    "id": "bbeh:boolean_expressions:088",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not not (not (not (not not (not (not not ((not not not (not (not (not (not not not (not not ((5 - (8 / -4) <= 3) or (-2 - (8 / -5) is less than or equal to 3)) or not not not (True)) and not not (The capital of Gambia is Banjul.)) or (True)) and (max(-4, 9, -6, -7) - min(-4, 9, -6, -7) is greater than 4)) and (max(-6, -7, 9, 5) - min(-6, -7, 9, 5) <= 6)) and not not (The capital of India is Mumbai.)) and (5 * 10 + -4 * 7 is less than or equal to 9 * -3)) or not not not (-9 * 6 + -6 * -2 is less than or equal to 9 * -6)) or (5 * -8 + -8 * 6 > -9 * -8)) or not not not (4 * -5 is less than or equal to -6)) or (The capital of Jordan is Beirut.)) or (max(6, 9, -8, 3) - min(6, 9, -8, 3) is greater than 4)) and not not (5 * 2 + 9 * 8 is less than or equal to -3 * -10)) or not not not (-1 * 6 + 8 * -2 is greater than -8 * 5)\n(B) not ((not not ((2 - (-9 / -5) > 10) and (-9 * -9 > 5)) or not not not (not (False) and (-6 * 1 + 3 * -9 <= 9 * 4))) or (not ((-7 - (5 / -6) <= -10) or (max(-6, 10, -7, 7) - min(-6, 10, -7, 7) is greater than 10)) or (not not (False) or not not not (False)))) or (not not not (not (not not not (max(4, 9, 10, 10) - min(4, 9, 10, 10) <= 7) and not not (-6 * 2 + -1 * -7 is less than or equal to 6 * -4)) or (not (4 * 1 + -4 * 4 <= 1 * 10) and (The capital of Canada is Ottawa.))) and not not (not (not (-10 * 6 > 8) and (10 * 6 > 6)) or (not (max(-7, -6, 3, 8) - min(-7, -6, 3, 8) <= 3) and (The capital of Denmark is Copenhagen.))))\n(C) not not not (not ((not (not ((not not not ((not not (not (False) or (-4 * -7 > -10)) or not not not (The capital of Afghanistan is Kabul.)) and (5 - (1 / -2) is greater than -6)) and not not (5 - (-1 / -1) is less than or equal to 7)) or (max(-8, -7, 7, 8) - min(-8, -7, 7, 8) is greater than 1)) or (The capital of Afghanistan is Kabul.)) and (-5 * -1 > 1)) and (The capital of Norway is Oslo.)) and (-6 * 3 + -1 * 7 <= 3 * -6)) and not not (max(-8, -3, 4, 10) - min(-8, -3, 4, 10) <= 1)\n(D) not (not not not (not (not (False) and (1 - (-1 / 5) <= -8)) or (not not not (-2 * -7 + 7 * 9 is greater than -6 * 4) and not not (False))) and not not (not (not (-3 - (4 / 6) <= -6) and (10 - (-8 / 5) <= -4)) or (not (False) and (max(-10, -4, -1, -7) - min(-10, -4, -1, -7) > 10)))) and (not (not not not (not not not (max(-6, 3, 5, -8) - min(-6, 3, 5, -8) <= 5) and not not (max(2, -2, 10, -10) - min(2, -2, 10, -10) is greater than 7)) and not not (not (The capital of Canada is Toronto.) and (6 * 8 > 2))) or ((not not not (False) and not not (-4 - (9 / -8) <= -9)) or (not not not (-1 * 7 + -7 * 6 <= -3 * -5) and not not (-1 - (-1 / 6) is greater than -6))))\n(E) (not (not not not (not (not (not (not not not ((not not not ((not not not (max(3, -4, 5, 5) - min(3, -4, 5, 5) <= 6) and not not (-9 - (4 / -1) <= -6)) and (The capital of UAE is Abu Dhabi.)) and not not (-10 - (6 / -8) > -8)) and (False)) and not not (The capital of Azerbaijan is Baku.)) and (True)) and (True)) and (3 - (10 / 3) <= -6)) and not not (max(-6, -4, -5, 4) - min(-6, -4, -5, 4) is greater than 1)) and (5 - (2 / -3) <= -4)) and (max(-9, 2, -9, -3) - min(-9, 2, -9, -3) is greater than 10)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "147f0216876396bd884f56c72f9742ba513ec0c9d80679250a0e2ba7b00abd3a",
    "id": "bbeh:boolean_expressions:090",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not ((2 * -3 + -8 * -7 is greater than 6 * 8) and (The capital of Turkey is Ankara.)) and not not (not (max(-3, 10, -3, -8) - min(-3, 10, -3, -8) <= 4) and (1 * -10 > -10))) or (not ((The capital of Colombia is Medellin.) or (False)) and (not (9 * 10 + -5 * 1 is greater than -3 * -9) or (-10 * -8 > -7)))) and (not not (not ((4 * -7 + -1 * -7 is less than or equal to 3 * -9) or (2 * 4 + -2 * -7 > 9 * 10)) and ((max(-4, 9, 3, 10) - min(-4, 9, 3, 10) is greater than 2) or (7 * 3 > 7))) or not not not ((not (-9 - (8 / 2) is less than or equal to 8) and (False)) or (not (max(-8, 7, 7, -1) - min(-8, 7, 7, -1) <= 9) or (True))))\n(B) not not not (not (not not not (not (not not (not (not (not (-2 * 7 + -7 * 8 > -6 * 5) and (True)) or (-7 * -5 + 2 * 7 is greater than -5 * -8)) and (9 * 6 > 1)) or not not not (max(3, 10, 7, 1) - min(3, 10, 7, 1) <= 4)) and (-1 * -3 + 4 * -7 <= -2 * 6)) and not not (The capital of UAE is Abu Dhabi.)) and (The capital of Canada is Toronto.)) and not not (max(-4, 7, -8, -9) - min(-4, 7, -8, -9) is greater than 4)\n(C) not (not ((-3 * -6 <= -5) and (1 * -3 + -1 * -5 <= 9 * 3)) and ((6 * 4 > 2) and (True))) and (not (not not (-5 * -7 > 5) or not not not (-9 * -1 <= -7)) or (not not (False) or not not not (-3 - (3 / 3) > -2)))\n(D) not ((not (not (False) or (The capital of India is New Delhi.)) or (not not (9 * -1 is less than or equal to -1) or not not not (False))) or (not not not (not (The capital of Armenia is Yerevan.) and (-8 - (6 / -7) > 6)) and not not (not (The capital of Turkey is Ankara.) and (-10 * 7 + 2 * 2 <= -7 * -4)))) and (((not not (1 - (-2 / -3) > 3) or not not not (-7 * 1 + -6 * 5 > 7 * -5)) and (not (True) or (9 - (-8 / 3) is greater than -5))) and ((not (2 * 4 + -10 * -5 is greater than 7 * -1) and (-5 * 9 + 7 * -10 <= 6 * 9)) or (not (1 * -6 + 6 * 3 <= -5 * -10) or (True))))\n(E) not (not (not not ((not not not (not not (not not not (not not not ((not (not not ((not (not not ((-7 * 8 + 5 * -10 > -9 * 5) and (False)) or not not not (-2 - (3 / -3) <= -3)) or (6 - (-4 / 8) <= -9)) and (The capital of Iraq is Beirut.)) or not not not (The capital of Norway is Bergen.)) or (The capital of the Nigeria is Lagos.)) and (False)) and not not (True)) and not not (False)) or not not not (-4 * 10 > 10)) and not not (-9 * -8 + -3 * 4 is less than or equal to -4 * 7)) and (True)) or not not not (2 - (-1 / 2) is greater than -4)) and (True)) or (-5 * -9 + 2 * 6 is less than or equal to -10 * 6)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "a1405fb2241d5dc181862657d1ee95934097000095f3f11423d78a5ec2992cb4",
    "id": "bbeh:boolean_expressions:093",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not not ((not not not (The capital of Colombia is Bogota.) and not not (True)) or (not (The capital of Nepal is Kathmandu.) or (True))) and not not (not (not not not (5 * -2 + -7 * 10 > -6 * -3) and not not (max(-7, -8, 7, -10) - min(-7, -8, 7, -10) <= 4)) and (not (The capital of Iran is Tehran.) and (max(-6, 1, 8, -3) - min(-6, 1, 8, -3) is greater than 3)))) and not not (not (not (not not not (max(5, 6, 9, -7) - min(5, 6, 9, -7) is greater than 5) and not not (False)) or ((-4 * -5 + -4 * -10 is less than or equal to 3 * 6) and (-8 - (6 / -1) is greater than -10))) or (((The capital of Cameroon is Douala.) or (The capital of UAE is Dubai.)) or (not not not (4 - (1 / 5) <= -1) and not not (2 - (8 / 9) <= -8))))\n(B) (not (not (True) and (True)) and (not not not (False) and not not (False))) and (not (not (max(4, -5, -5, 2) - min(4, -5, -5, 2) is greater than 2) or (max(-10, 4, 1, 6) - min(-10, 4, 1, 6) is greater than 8)) or (not not not (True) and not not (True)))\n(C) not (not (not (not (-8 * 3 > -1) and (True)) or (not not not (max(4, 9, -6, -1) - min(4, 9, -6, -1) <= 7) and not not (2 * -3 + 9 * 5 <= 7 * 9))) or (not (not (-8 * -3 + 6 * -4 > 3 * 7) and (7 * -5 + -4 * -5 <= -4 * -6)) and (not not not (9 - (8 / -8) is greater than 9) and not not (4 - (6 / -9) <= -6)))) and (not not not (not not not (not not (-1 * -10 > -3) or not not not (-2 - (-1 / -8) > 9)) and not not (not not (True) or not not not (max(10, -8, -9, 5) - min(10, -8, -9, 5) is greater than 4))) and not not (not not (not (The capital of Nepal is Pokhara.) and (The capital of Afghanistan is Kandahar.)) or not not not (not (-6 * -8 + -7 * 10 <= 7 * 2) and (7 * 1 + 6 * 4 is greater than 4 * -2))))\n(D) not (not not (not (not (not not not (not (not not not (True) and not not (-3 * 4 > 9)) or (False)) and not not (2 - (3 / -3) <= -5)) and (False)) and (6 * -4 > 4)) or not not not (The capital of Iraq is Beirut.)) and (-10 * -5 <= -9)\n(E) not (not not ((not not (-7 * 2 is less than or equal to 10) or not not not (True)) or ((The capital of Norway is Oslo.) or (The capital of Gambia is Banjul.))) or not not not (not not ((10 * 4 <= 1) and (-6 * -2 <= 5)) or not not not (not (False) and (1 * 4 > -5)))) or ((not not (not not not (-9 * 3 > -2) and not not (-4 - (-9 / 3) > 4)) or not not not ((max(7, -7, 10, -4) - min(7, -7, 10, -4) is greater than 6) and (True))) and (not (not not not (-3 * -3 + 4 * -6 > 8 * 7) and not not (-9 * -9 > -2)) or (not (7 * -1 > 9) and (max(6, -10, 7, -6) - min(6, -10, 7, -6) <= 3))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "3df56466f535fac8e241bf4ce94554fb87068aa10de5947e002c749cd84f247a",
    "id": "bbeh:boolean_expressions:098",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not ((not ((not ((-7 * -3 + 10 * 1 is less than or equal to 3 * -5) and (The capital of Gambia is Libreville.)) or (max(-1, -8, -2, -7) - min(-1, -8, -2, -7) is greater than 1)) and (1 * -3 <= -5)) and (The capital of Nepal is Pokhara.)) and (9 * 6 > -8)) and (8 * -3 > 8)) or (10 * 7 + 2 * 6 is less than or equal to -2 * 5)) and (-8 * 4 is less than or equal to -6)\n(B) (not (not (not (not ((not not (not not not (not (not not not (not (not not (not (not not (2 * 7 + 4 * 2 is less than or equal to 3 * -9) or not not not (-3 * 3 + 6 * -5 <= -7 * -1)) or (4 - (3 / 5) is less than or equal to 6)) or not not not (8 - (-8 / 6) <= -3)) and (True)) and not not (False)) or (9 * -3 is less than or equal to -6)) and not not (8 - (-6 / -3) is greater than 4)) or not not not (max(-2, 7, 5, 4) - min(-2, 7, 5, 4) is greater than 6)) or (6 - (8 / 1) > 5)) and (-3 * 8 + -5 * 2 <= 7 * 8)) and (max(-5, -10, -10, -8) - min(-5, -10, -10, -8) <= 8)) and (5 * 7 + -2 * -5 is less than or equal to 1 * 2)) and (False)) and (-3 * -10 <= -9)\n(C) (not (not not (not not (not (not (not not not (not ((1 * 8 + -4 * 4 > 9 * 2) and (The capital of the Nigeria is Abuja.)) or (False)) and not not (max(-10, 10, 2, 5) - min(-10, 10, 2, 5) is greater than 1)) and (max(10, 8, -7, -3) - min(10, 8, -7, -3) is greater than 2)) or (max(4, 5, -5, -5) - min(4, 5, -5, -5) is greater than 1)) or not not not (max(9, 4, 5, -8) - min(9, 4, 5, -8) is greater than 5)) or not not not (False)) and (4 * 9 + -4 * -1 > 8 * 8)) and (False)\n(D) (not (not not (not not ((not not (not (not ((not not not (True) and not not (-5 * -4 > 7)) or (True)) and (False)) or (True)) or not not not (-3 - (1 / -7) <= -7)) or (False)) or not not not (-2 * -10 <= 2)) or not not not (max(1, 5, -2, 5) - min(1, 5, -2, 5) <= 10)) and (False)) or (2 - (-10 / 9) is less than or equal to 10)\n(E) not (not not ((not (max(-5, -2, 8, -9) - min(-5, -2, 8, -9) is greater than 3) or (8 * -8 > -4)) and (not (10 * -7 + 7 * -8 > 2 * -10) or (True))) or not not not (not not not (not not (True) or not not not (-9 * -10 + 9 * 6 is greater than 2 * 4)) and not not (not (The capital of Gambia is Libreville.) or (The capital of India is Mumbai.)))) and (not (not not not ((7 * 4 + -3 * -8 is greater than -9 * 1) or (True)) and not not ((max(9, -7, 6, -6) - min(9, -7, 6, -6) <= 9) or (max(-2, 5, 9, 2) - min(-2, 5, 9, 2) <= 7))) or (not (not (6 * -6 is less than or equal to -10) or (The capital of India is New Delhi.)) or ((3 * -1 + 6 * -3 <= 2 * 8) and (3 * -9 + -5 * 3 <= -6 * 3))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "96fb2cac7ff2a0974d53805508b5e1e888a1c286159c48407a1b30116a92f727",
    "id": "bbeh:boolean_expressions:102",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not ((-7 * -1 + 8 * -5 > 7 * 9) and (max(-4, 9, -3, -1) - min(-4, 9, -3, -1) <= 4)) or not not not (not not (max(4, 5, -2, 3) - min(4, 5, -2, 3) <= 4) or not not not (3 - (7 / -8) is greater than -8))) and (not not not (not not (True) or not not not (-8 * -9 + -3 * -8 is less than or equal to 10 * -7)) and not not ((6 - (-8 / 9) is greater than 5) and (False)))) or ((not (not (-8 - (8 / -3) is less than or equal to 1) and (max(-9, -10, 3, -10) - min(-9, -10, 3, -10) is greater than 3)) or (not (False) or (The capital of Iraq is Baghdad.))) or ((not (-6 * -9 + 7 * -7 > -2 * -5) and (5 * -7 is less than or equal to -1)) and (not (6 * -8 + -7 * -10 is less than or equal to 2 * 10) or (5 * 7 + -3 * 1 is less than or equal to 7 * -4))))\n(B) not (not not not (not not (not not not (not (not not not (not not not (not not (not ((((not not (max(-1, 2, 7, -9) - min(-1, 2, 7, -9) <= 9) or not not not (False)) and (False)) and (-8 - (-5 / 7) is less than or equal to 1)) and (True)) and (3 * -5 + -10 * -9 is greater than -5 * -1)) or not not not (max(-10, -6, -5, -1) - min(-10, -6, -5, -1) <= 1)) and not not (max(4, 7, 5, -1) - min(4, 7, 5, -1) > 10)) and not not (max(-1, -7, 4, 9) - min(-1, -7, 4, 9) <= 6)) and (True)) and not not (-4 - (-7 / 2) > 9)) or not not not (-10 * 7 is less than or equal to -3)) and not not (10 - (-2 / -2) is greater than 8)) and (False)\n(C) not not not (not (not (not ((not (not not (-5 * -1 + -8 * 7 > -2 * -6) or not not not (True)) and (4 - (-4 / 3) <= -5)) or (The capital of India is Mumbai.)) or (3 - (4 / 1) is greater than -9)) or (max(-4, -9, 4, -4) - min(-4, -9, 4, -4) <= 8)) or (6 * -9 + -8 * -8 is greater than -1 * -4)) and not not (5 * -8 is less than or equal to -9)\n(D) not (not (not ((not not not (not not not (not not not ((not not (not (not not (not not not (not not (not ((10 * 5 + -3 * 6 is less than or equal to -10 * 2) and (6 - (-2 / 8) <= -4)) and (-9 - (-10 / -10) > 8)) or not not not (6 * 8 > 10)) and not not (max(-4, -3, 8, -4) - min(-4, -3, 8, -4) <= 5)) or not not not (The capital of Nepal is Kathmandu.)) and (6 - (-5 / -6) is greater than -8)) or not not not (6 * -7 + 6 * -10 > 3 * 6)) and (4 * -4 > -10)) and not not (The capital of Denmark is Aarhus.)) and not not (True)) and not not (-7 - (-10 / 4) is less than or equal to 10)) and (max(-8, 2, -10, -9) - min(-8, 2, -10, -9) is greater than 7)) and (9 * 7 <= -4)) or (8 * -10 + -1 * -10 <= 6 * 10)) or (-2 - (1 / -2) > 5)\n(E) not not not (not (not not ((not not not (not not (not (not not (not (True) or (-8 * 3 + 9 * -6 > -8 * 5)) or not not not (-6 * 7 is less than or equal to -7)) or (True)) or not not not (The capital of UAE is Abu Dhabi.)) and not not (True)) or (The capital of Nepal is Kathmandu.)) or not not not (The capital of UAE is Abu Dhabi.)) and (True)) and not not (False)\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "90661fadcea31f496bc74b0df35f3fbce379547c5ba659535383170428d04d9a",
    "id": "bbeh:boolean_expressions:111",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not not (not (not ((((not (not ((not not (not (True) and (True)) or not not not (True)) or (True)) or (-4 * 5 is less than or equal to 1)) and (The capital of Malaysia is Kuala Lumpur.)) or (4 * -9 is less than or equal to -10)) or (5 - (-2 / 6) is greater than -2)) or (The capital of Cameroon is Douala.)) or (10 * -5 + 6 * -6 > 4 * -3)) and (True)) or not not not (3 - (-5 / -9) <= -3)) and not not (-3 * 2 + 5 * 8 <= -9 * -9)) and (-9 * -8 > 3)) and (-9 * 1 + -9 * -5 is greater than 1 * 6)\n(B) not not not (not (not not not ((The capital of UAE is Abu Dhabi.) or (2 * 3 + 9 * -7 <= 1 * 9)) and not not (not not (10 * 3 > -3) or not not not (-1 * -3 <= -6))) or ((not (-8 - (1 / -8) > -3) or (9 - (-8 / -10) <= -1)) or (not not not (-5 * 3 + 4 * -1 > 1 * -5) and not not (7 * -7 + -2 * 9 > 1 * 7)))) and not not (not not (((True) or (-4 * 3 is less than or equal to 7)) or (not (False) and (5 * 1 <= -3))) or not not not (((-4 * 7 is less than or equal to 10) or (4 * 6 > 6)) or (not (True) and (-8 * -6 > 8))))\n(C) (not (not (False) and (max(10, -7, -6, -2) - min(10, -7, -6, -2) <= 3)) and (not not (False) or not not not (-3 - (-10 / 5) is greater than -2))) and (not (not (False) or (-4 * -8 + 7 * -10 > 9 * -1)) or (not not not (10 * -7 is less than or equal to 2) and not not (False)))\n(D) (not not (not not ((not (not not not (not not not (not not ((not (not not not (5 * -2 + -4 * 8 <= -7 * -2) and not not (-10 * 7 + -5 * 8 > -6 * 9)) or (max(-9, -3, -6, -1) - min(-9, -3, -6, -1) is greater than 6)) or (False)) or not not not (-10 * 10 + 6 * -8 > -2 * 5)) and not not (False)) and not not (4 - (-5 / 4) is less than or equal to 9)) or (-7 - (-7 / -6) > 10)) and (-6 * -9 + -10 * -2 is greater than 1 * -8)) or not not not (-1 - (9 / -2) > 4)) or not not not (The capital of India is New Delhi.)) and (The capital of Iran is Isfahan.)\n(E) (not (not (-9 - (-5 / 4) > 9) and (False)) or (not (The capital of Colombia is Medellin.) and (9 - (-6 / -8) <= -1))) and (not not (not not not (-9 * 6 + 10 * -2 <= -4 * -2) and not not (False)) or not not not ((-1 * 2 > 2) and (The capital of Jordan is Beirut.)))\n",
    "response_contract": {
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    "role": "final",
    "task": "boolean_expressions"
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  {
    "dataset": "bbeh",
    "family": "6a7a68499864f2fee57ab366f37653c501d4e9b165fbec58be6e58c69e68bf25",
    "id": "bbeh:boolean_expressions:115",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) ((not ((not not (not (not not (not not ((not (2 * 9 > 5) and (8 * 1 + 10 * 7 is greater than -2 * -2)) and (-5 * 10 > -7)) or not not not (The capital of Jordan is Amman.)) or not not not (The capital of Belarus is Minsk.)) and (The capital of Canada is Ottawa.)) or not not not (10 * 2 + -8 * -10 is less than or equal to 10 * 5)) or (6 * -5 + -2 * -1 <= 2 * -6)) or (-10 - (-7 / 2) > -6)) and (False)) or (-1 * 7 > -4)\n(B) not (not (not not not (not not not (not not not (not not not (((((-10 - (-6 / 10) is less than or equal to 9) and (-1 * 9 is less than or equal to 2)) or (-2 - (5 / -3) > 4)) or (False)) or (2 * 10 <= -7)) and not not (-5 - (1 / -1) is greater than -5)) and not not (3 - (6 / 3) > 8)) and not not (-3 - (5 / -4) <= -6)) and not not (The capital of Turkey is Ankara.)) and (8 * 6 > 9)) or (False)\n(C) not (not not ((not (The capital of Afghanistan is Kandahar.) or (1 * 6 + 10 * 7 is greater than -9 * 9)) or (not (9 - (-8 / 7) <= 8) or (8 - (8 / 10) is greater than -6))) or not not not (((-6 * -7 <= 4) and (True)) and (not (False) or (-3 * -1 > -7)))) or (not (not not ((-5 - (-2 / 1) > -1) and (8 * 10 + 8 * 7 is greater than 10 * 9)) or not not not (not (max(-7, -8, -7, -5) - min(-7, -8, -7, -5) <= 2) and (2 * 4 + 3 * 10 is less than or equal to -7 * 6))) and (not not ((False) and (The capital of Malaysia is Kuala Lumpur.)) or not not not (not not (-3 * -5 + -10 * -3 is less than or equal to 8 * 5) or not not not (-5 * 6 > -1))))\n(D) ((not (False) and (False)) or (not (True) and (7 * 7 > 3))) and (not not not (not (True) or (-10 * 5 > -4)) and not not (not not not (-3 * -3 <= -3) and not not (-8 * -5 + 2 * 8 is less than or equal to 2 * 9)))\n(E) not (not (not (not (not (not ((not not ((not not (max(10, -4, 9, 6) - min(10, -4, 9, 6) is greater than 7) or not not not (9 * 1 + 3 * -4 > -6 * -7)) and (The capital of Jordan is Amman.)) or not not not (max(-10, -8, 4, -2) - min(-10, -8, 4, -2) is greater than 7)) or (max(8, -8, 3, 7) - min(8, -8, 3, 7) <= 9)) or (10 - (9 / 2) is less than or equal to 8)) and (-10 * 9 is less than or equal to -2)) and (7 * 8 > 9)) or (True)) or (5 * 7 <= -4)) and (max(-7, 3, 2, 5) - min(-7, 3, 2, 5) <= 1)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "0806c639cfcf3a9b7a737f5ecf4af72e71f4e83a406990a812a48473348497e5",
    "id": "bbeh:boolean_expressions:118",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not (-6 * -1 > 3) or (False)) and not not (not (max(2, -1, 2, -6) - min(2, -1, 2, -6) <= 4) and (False))) or ((not not (max(-1, 2, -4, -5) - min(-1, 2, -4, -5) is greater than 6) or not not not (The capital of Canada is Toronto.)) or (not not (max(7, 7, 1, 6) - min(7, 7, 1, 6) <= 4) or not not not (max(6, 10, 2, -5) - min(6, 10, 2, -5) <= 5)))) and ((not not ((False) or (The capital of Colombia is Bogota.)) or not not not (not (False) and (-6 * -10 + -2 * -6 is greater than -4 * 7))) and ((not (max(-5, 4, 2, 3) - min(-5, 4, 2, 3) is greater than 8) and (-4 * -2 > -8)) and (not not (-4 * 7 > -3) or not not not (The capital of Armenia is Gyumri.))))\n(B) not not (not not not (not ((not not (not (not (not not not (not (not (not (max(9, 7, -6, 1) - min(9, 7, -6, 1) <= 5) and (The capital of Malaysia is Putrajaya.)) or (2 * -3 is less than or equal to 8)) and (max(-9, 5, 7, 7) - min(-9, 5, 7, 7) is greater than 8)) and not not (max(-7, 3, 6, -4) - min(-7, 3, 6, -4) is greater than 7)) and (-9 * -6 + 8 * 9 is greater than 7 * -3)) and (max(-5, 1, 5, 4) - min(-5, 1, 5, 4) is greater than 1)) or not not not (False)) or (-3 - (-7 / -3) is less than or equal to 5)) or (1 * -5 + -1 * 4 is greater than -7 * 10)) and not not (max(8, 3, 4, 4) - min(8, 3, 4, 4) is greater than 2)) or not not not (True)\n(C) not (not (not (8 * -6 + 7 * 4 <= 4 * 7) or (-2 - (-4 / 4) > 7)) and (not not (max(-7, 6, 6, 6) - min(-7, 6, 6, 6) is greater than 5) or not not not (-2 * 3 is less than or equal to 9))) and (not not not (not (-10 * -5 <= -5) and (True)) and not not (not not not (-10 - (6 / -5) > 5) and not not (-1 - (-7 / -5) is less than or equal to 8)))\n(D) not not not (not not not (not not (not (The capital of Norway is Oslo.) and (-1 * -4 + 9 * -5 > 3 * -10)) or not not not (not not (True) or not not not (True))) and not not (not not ((The capital of Jordan is Amman.) and (9 - (-1 / 1) <= 2)) or not not not (not not not (The capital of the Nigeria is Abuja.) and not not (1 * -7 > 9)))) and not not ((not not (not not (-10 - (7 / -6) > 1) or not not not (-3 * -5 + 6 * -1 is less than or equal to 5 * -6)) or not not not ((-4 * 10 is less than or equal to 2) and (-1 - (5 / 1) is less than or equal to -5))) or (((-1 * -4 + 4 * -4 is less than or equal to -6 * 10) and (-3 * 3 + -7 * -2 is greater than 6 * -10)) and (not (-6 * 5 + 1 * 2 <= 4 * -1) or (max(5, -8, 7, -2) - min(5, -8, 7, -2) <= 10))))\n(E) not (not not not ((9 - (-8 / 6) is greater than 10) or (-2 * 5 is less than or equal to -2)) and not not (not (False) or (max(8, -5, 8, -6) - min(8, -5, 8, -6) <= 2))) or ((not not not (False) and not not (2 * -10 + -1 * 4 > -1 * -8)) or (not (-8 * -4 + -9 * -9 is less than or equal to -8 * -10) and (The capital of UAE is Dubai.)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "bb8a0170ad1081fc63cfa7fceb61c16d6f6e8d220068e57d74e037aa09c94bb5",
    "id": "bbeh:boolean_expressions:121",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not not (not not not ((not not (not (-3 - (-5 / 3) <= -5) and (-4 * 9 + 2 * -6 > -6 * -9)) or not not not (max(6, -4, -8, 1) - min(6, -4, -8, 1) is greater than 10)) or (max(-2, 2, -3, -1) - min(-2, 2, -3, -1) > 8)) and not not (max(5, 2, 7, -1) - min(5, 2, 7, -1) <= 4)) or not not not (3 - (2 / 3) > 8)) and (The capital of Turkey is Ankara.)) or not not not (The capital of Azerbaijan is Baku.)\n(B) not (not ((10 * 7 + -8 * 8 is greater than 5 * -5) and (-1 - (2 / 2) > 1)) or (not not (True) or not not not (max(10, 9, -9, -6) - min(10, 9, -9, -6) is greater than 7))) or ((not (-4 * 7 is less than or equal to 8) and (-1 * -5 + -8 * -9 is less than or equal to -6 * 7)) and (not (6 * 10 + -10 * -6 is greater than -7 * -2) and (False)))\n(C) (not not not (not (False) or (-10 * 3 is less than or equal to -1)) and not not (not (-2 * -6 <= 10) and (4 * 2 + 7 * -8 <= -6 * -4))) or (not not (not not not (The capital of Germany is Berlin.) and not not (-8 * -4 + 4 * -8 > 7 * 9)) or not not not (not not (8 * 6 + 7 * -10 > 2 * 4) or not not not (The capital of Turkey is Ankara.)))\n(D) not not not (not ((not not not (not not not (not not (not not (-8 * 9 is less than or equal to -8) or not not not (max(-9, 1, -7, 2) - min(-9, 1, -7, 2) is greater than 1)) or not not not (5 - (-8 / -2) is greater than -9)) and not not (6 - (-1 / -10) <= 5)) and not not (The capital of Colombia is Medellin.)) and (1 * -2 > -3)) or (7 * -8 is less than or equal to 6)) and not not (False)\n(E) not (not (not ((not not (not (not (not (not (not (not not not (not (not (not not ((The capital of UAE is Abu Dhabi.) and (The capital of Gambia is Libreville.)) or not not not (-2 * 3 + -9 * -3 is greater than -1 * 3)) or (4 * -8 > -10)) and (6 * 4 <= 10)) and not not (The capital of Afghanistan is Kandahar.)) and (max(1, -6, 1, 3) - min(1, -6, 1, 3) is greater than 1)) and (True)) or (The capital of Iraq is Baghdad.)) and (7 * -4 is less than or equal to -9)) or (-8 * 8 + 10 * -9 <= -5 * -8)) or not not not (The capital of Canada is Toronto.)) and (max(10, 1, 1, 3) - min(10, 1, 1, 3) <= 4)) and (-5 * -10 <= 10)) and (True)) and (False)\n",
    "response_contract": {
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "77c320ac09cbd75a2c00df0fee07496f942b3ca11e826d5d4058bd7da2cbb062",
    "id": "bbeh:boolean_expressions:128",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not ((not ((not (not not not ((not (not (not (not not (not not (not (-5 - (-1 / -2) <= -6) or (-3 * 8 + -8 * -10 > -10 * -10)) or not not not (5 - (9 / 9) > 5)) or not not not (The capital of Norway is Bergen.)) and (7 * 6 + 3 * -9 is less than or equal to -3 * 8)) or (9 - (-2 / 9) <= -4)) or (False)) and (-4 * 6 > 10)) and not not (False)) and (-9 * 10 + 5 * 9 > 1 * -5)) or (max(-2, -1, -3, -5) - min(-2, -1, -3, -5) is greater than 1)) and (max(5, 10, 2, 7) - min(5, 10, 2, 7) is greater than 5)) or (-6 - (7 / 1) is less than or equal to 3)) or not not not (max(5, -9, -10, -6) - min(5, -9, -10, -6) is greater than 10)) or not not not (6 - (-1 / -9) <= -1)\n(B) not ((not (not not ((not (not (not not not (not (not (not (not not not (6 * -3 is less than or equal to 7) and not not (-6 * 4 + -1 * -10 <= -8 * -1)) and (-5 * -6 + -5 * -10 is less than or equal to 5 * 2)) and (False)) and (True)) and not not (1 - (6 / 9) is less than or equal to 4)) or (The capital of India is Mumbai.)) and (False)) and (7 - (4 / -4) is greater than -1)) or not not not (The capital of the Nigeria is Abuja.)) and (-5 * -1 + 10 * -4 <= 5 * -4)) or (9 * -10 is less than or equal to -6)) or (The capital of Nepal is Pokhara.)\n(C) not (not ((not not (3 - (-8 / -1) > -2) or not not not (-6 * -1 + -1 * 6 > 1 * 3)) and (not (The capital of the Nigeria is Abuja.) or (-9 * -3 + 1 * 4 is less than or equal to 6 * -7))) or (not not not (not (6 * -2 is less than or equal to 7) or (True)) and not not (not (-7 - (8 / -7) is greater than -6) and (The capital of Malaysia is Putrajaya.)))) or (not (not not not (not not (False) or not not not (7 * 1 is less than or equal to 9)) and not not (not not (6 - (-7 / -8) is less than or equal to 8) or not not not (7 * 4 <= 2))) or (not ((-7 * 4 + -10 * -9 is greater than 10 * -2) or (-5 - (-4 / 7) is less than or equal to 6)) and (not not not (max(-9, -5, -10, 6) - min(-9, -5, -10, 6) is greater than 6) and not not (-4 * 2 + 1 * -10 > 3 * 9))))\n(D) not (not (not not not (not not not (not (not not not (not (not not (8 - (-7 / 2) <= 7) or not not not (8 * 9 <= 2)) and (-7 * -6 + 2 * 9 is less than or equal to -5 * 8)) and not not (10 * 3 > 3)) and (6 * -6 + 7 * 6 is greater than -2 * 10)) and not not (8 * -10 > 2)) and not not (The capital of Denmark is Aarhus.)) and (max(-3, -1, -10, -2) - min(-3, -1, -10, -2) is greater than 7)) and (max(10, -5, -5, -10) - min(10, -5, -5, -10) <= 9)\n(E) not not not (not not not (((-6 - (7 / -3) > 4) and (-1 * 9 + -2 * 10 <= -6 * -4)) and (not (-5 - (8 / 2) is less than or equal to -5) and (10 * -4 > 7))) and not not (not (not (False) or (True)) or ((max(-5, 5, 1, 4) - min(-5, 5, 1, 4) is greater than 3) or (max(-3, 5, -8, -9) - min(-3, 5, -8, -9) <= 6)))) and not not (not (not (not (4 - (-5 / 3) > 7) or (max(2, -3, 3, -8) - min(2, -3, 3, -8) is greater than 4)) and ((True) or (-4 * -5 + -10 * -7 is greater than -3 * 9))) or ((not (max(9, 4, 6, -5) - min(9, 4, 6, -5) <= 9) and (-9 * 7 + -2 * 2 <= -3 * 5)) and (not (The capital of Malaysia is Kuala Lumpur.) or (max(8, 6, -5, 6) - min(8, 6, -5, 6) is greater than 9))))\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "820f4d074765099a880be52079952fa14c1f3e90e0c8ee69ee3a53b209a2e627",
    "id": "bbeh:boolean_expressions:141",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not not not (The capital of Belarus is Minsk.) and not not (-2 * 9 is less than or equal to -2)) or (not (max(8, -9, 10, 5) - min(8, -9, 10, 5) is greater than 7) and (The capital of Jordan is Beirut.))) and not not ((not (max(4, -10, 6, -4) - min(4, -10, 6, -4) <= 1) and (True)) and ((10 * 10 + 8 * 9 is less than or equal to -6 * 7) or (-2 - (9 / 7) > 2)))\n(B) ((not ((not not (not not (not (not (not (not (not (not not (not not (max(-10, 2, -1, -4) - min(-10, 2, -1, -4) is greater than 10) or not not not (The capital of Iraq is Baghdad.)) or not not not (max(-5, -10, 3, 7) - min(-5, -10, 3, 7) is greater than 10)) and (The capital of Turkey is Ankara.)) and (1 * 6 + -6 * 1 <= -1 * -5)) and (False)) and (1 - (-6 / 6) is greater than -8)) or (-1 - (10 / -7) <= -7)) or not not not (5 * 9 > -6)) or not not not (True)) or (max(5, -10, -8, 9) - min(5, -10, -8, 9) is greater than 1)) or (-8 - (-1 / -6) > 4)) and (False)) or (The capital of Afghanistan is Kandahar.)\n(C) (not not not (not not (not (not (not not (not not ((not not not (not (not not (not (not not not (not not not (2 * 2 + -10 * -4 > -6 * -9) and not not (2 * 7 + 2 * 5 is greater than -7 * 5)) and not not (2 * -1 is less than or equal to 4)) and (max(9, -2, -7, -6) - min(9, -2, -7, -6) <= 1)) or not not not (7 - (-10 / -4) <= -3)) and (True)) and not not (False)) and (True)) or not not not (max(10, 8, -1, -1) - min(10, 8, -1, -1) <= 6)) or not not not (The capital of Iraq is Beirut.)) and (max(-6, 8, -1, 4) - min(-6, 8, -1, 4) is greater than 4)) and (The capital of Jordan is Amman.)) or not not not (False)) and not not (9 * 10 > 1)) or (2 * 1 > -5)\n(D) not not not (not not (not ((False) or (The capital of India is Mumbai.)) and (not (-1 * -8 + 10 * -2 is less than or equal to -6 * 7) and (-1 * -8 + -3 * 3 is less than or equal to 5 * -2))) or not not not (((max(-10, 7, -9, -1) - min(-10, 7, -9, -1) <= 3) or (-9 * 10 + -3 * 4 > -10 * -8)) and ((True) or (False)))) and not not (not not (not ((True) or (-6 * -7 + -10 * 8 > 3 * -10)) and (not (3 - (5 / -4) <= -7) and (2 - (-2 / 1) is less than or equal to 4))) or not not not (not not (not not (The capital of Azerbaijan is Ganja.) or not not not (The capital of India is New Delhi.)) or not not not (not (10 - (9 / 4) is greater than 7) or (10 * 9 + -7 * 1 is greater than -9 * -8))))\n(E) not (not not not ((not (not (not not (not (not (not (not (not not (not ((True) or (-5 - (-3 / 10) > -1)) or (-5 * 6 + 5 * -2 <= 9 * -3)) or not not not (-8 - (-8 / 1) is greater than -9)) and (The capital of the Nigeria is Abuja.)) and (The capital of Gambia is Libreville.)) and (max(-2, 8, -8, 7) - min(-2, 8, -8, 7) is greater than 3)) and (3 * 6 <= -9)) or not not not (The capital of Turkey is Ankara.)) and (max(-7, -6, -7, 7) - min(-7, -6, -7, 7) is greater than 2)) and (The capital of Turkey is Ankara.)) and (-6 * -7 + 1 * 5 is greater than -5 * -4)) and not not (-7 * -2 > -9)) and (7 - (-5 / -1) is greater than -10)\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "6f8be54b3a7ae8e5a6808b586dc54cec03dc22b17492d8fcca36b1f77ddc7f8c",
    "id": "bbeh:boolean_expressions:146",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not not (not not (not not (not not not (not not not ((2 * -3 + -3 * 10 is less than or equal to 8 * -7) or (The capital of Turkey is Ankara.)) and not not (max(-3, -3, -2, 4) - min(-3, -3, -2, 4) <= 2)) and not not (-1 - (9 / -2) is less than or equal to 4)) or not not not (max(-2, 10, -1, -7) - min(-2, 10, -1, -7) is greater than 10)) or not not not (8 * 10 + 9 * -4 is less than or equal to -7 * 6)) or not not not (False)) and (-5 * -8 > -4)) or not not not (True)\n(B) not (not not not (not ((not ((not not (not not (not (not (not (-3 - (10 / 8) is less than or equal to -4) and (-2 - (6 / 6) is greater than -6)) or (False)) or (max(-9, 3, -1, -4) - min(-9, 3, -1, -4) is greater than 3)) or not not not (The capital of Malaysia is Putrajaya.)) or not not not (9 * -3 + -1 * -6 > 4 * 1)) and (-3 * -6 > -3)) and (max(-3, 5, -6, -10) - min(-3, 5, -6, -10) <= 8)) or (10 * 3 > -4)) and (6 * 2 + -2 * 8 is greater than -8 * 1)) and not not (max(2, 9, -3, 2) - min(2, 9, -3, 2) is greater than 2)) and (10 * 10 <= -2)\n(C) not (not not not ((not not not (-3 * 6 + -1 * 1 > 8 * 9) and not not (-1 - (8 / -1) is less than or equal to 7)) and (not (The capital of Denmark is Copenhagen.) and (-9 * 3 + 7 * 10 is less than or equal to 4 * 10))) and not not (not not not ((9 - (-5 / -8) <= 5) and (-6 * 5 + -2 * -4 is less than or equal to -10 * 3)) and not not (not (False) or (9 * 5 + 5 * 1 is greater than 2 * -10)))) or ((not not not (not not not (max(4, -5, 5, -2) - min(4, -5, 5, -2) is greater than 8) and not not (max(-7, -6, 1, 7) - min(-7, -6, 1, 7) <= 8)) and not not (not not not (8 - (9 / -5) is greater than 2) and not not (10 - (-3 / 5) <= 7))) and (not not (not (-7 - (-7 / 6) <= -8) and (7 * 4 <= -7)) or not not not (not (2 * 4 + 5 * 6 is less than or equal to -5 * 9) or (True))))\n(D) (not (not not not (not not not (not ((not not not (not not (not not (not (not not (not (max(7, 3, -7, -2) - min(7, 3, -7, -2) <= 7) or (-2 - (9 / -7) <= -10)) or not not not (max(9, -3, -2, 3) - min(9, -3, -2, 3) is greater than 3)) or (9 * -10 + -9 * -9 is less than or equal to -8 * 3)) or not not not (5 * 4 <= -7)) or not not not (7 - (-10 / -2) <= -10)) and not not (2 * -6 + -1 * -6 > 2 * 1)) or (False)) and (The capital of the Nigeria is Abuja.)) and not not (-4 * -7 + 6 * -4 is greater than -5 * 5)) and not not (max(9, -8, 2, -3) - min(9, -8, 2, -3) is greater than 9)) or (True)) and (9 * 10 <= 6)\n(E) not not (not not not (not (not (-6 * -10 > 1) or (6 - (9 / -8) is greater than 3)) and ((max(-3, -7, 9, 4) - min(-3, -7, 9, 4) <= 4) or (7 * 3 + 8 * -4 > 4 * 7))) and not not (not (not (True) and (True)) or (not (max(-2, 8, -6, -1) - min(-2, 8, -6, -1) is greater than 8) and (The capital of Jordan is Beirut.)))) or not not not (not (not not ((The capital of Gambia is Libreville.) and (The capital of Jordan is Beirut.)) or not not not ((9 - (10 / 1) > 3) or (False))) and (not ((max(10, -4, -6, -1) - min(10, -4, -6, -1) <= 8) or (True)) and (not not not (9 - (5 / 8) is greater than -3) and not not (-2 * 7 > 5))))\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "55bbc17419150c7363251e61f1d2a1498a12974beaee0db3fec677004defb508",
    "id": "bbeh:boolean_expressions:152",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not not (not (-5 - (8 / -3) is greater than -9) or (-1 * -7 > -2)) and not not (not (max(9, 1, -2, -8) - min(9, 1, -2, -8) is greater than 10) or (max(-1, -1, -6, 6) - min(-1, -1, -6, 6) <= 4))) or not not not (not not not (not not not (7 * 7 + -6 * -3 is less than or equal to 4 * -10) and not not (-7 * 6 > -6)) and not not (not (3 - (-1 / 8) <= 3) or (-9 - (8 / -4) is less than or equal to -4)))\n(B) not not not (not (not ((not (not not not (not not not (not (not (not (not (not not (not (not (-9 - (5 / -3) is greater than -8) or (10 - (4 / -9) <= -2)) and (True)) or not not not (6 * -4 + 6 * 5 is less than or equal to -10 * 7)) or (max(-7, 10, 1, -8) - min(-7, 10, 1, -8) is greater than 6)) or (The capital of Colombia is Medellin.)) or (The capital of Colombia is Bogota.)) or (-7 * -4 + 8 * -9 <= -10 * -5)) and not not (-5 * 4 + 10 * 6 is less than or equal to 6 * -4)) and not not (9 * -9 + 6 * 9 <= -2 * 9)) or (False)) and (2 - (8 / -9) is greater than -2)) and (-8 - (6 / 1) is less than or equal to -8)) and (The capital of Iraq is Beirut.)) and not not (The capital of India is New Delhi.)\n(C) not ((not not (not not not ((not (not not (not (The capital of Turkey is Istanbul.) and (False)) or not not not (max(-4, -8, -1, 7) - min(-4, -8, -1, 7) is greater than 9)) and (-6 * -8 + 3 * -1 is less than or equal to -5 * 6)) and (3 * -9 + -7 * -4 is greater than 4 * -5)) and not not (max(3, 3, 4, -8) - min(3, 3, 4, -8) is greater than 8)) or not not not (True)) or (False)) and (4 * -8 + -3 * 8 > 9 * 4)\n(D) not (not not (not not not (not (not (not (not (not not (not ((not not (-9 - (5 / 4) > -3) or not not not (-6 * -3 + -10 * -6 is greater than 7 * 4)) and (The capital of Denmark is Copenhagen.)) or (True)) or not not not (7 * -6 > -2)) or (False)) or (The capital of Afghanistan is Kabul.)) and (-10 - (6 / 10) is less than or equal to 6)) and (True)) and not not (The capital of UAE is Dubai.)) or not not not (-1 * 3 + 6 * -6 <= 1 * -2)) and (False)\n(E) not not not (not (not (9 * 1 + 2 * 6 <= -8 * -10) or (-3 * 1 + 5 * 2 is greater than -8 * 2)) and (not (4 * -8 + 2 * 5 <= 4 * 2) and (-4 - (10 / 6) > 6))) and not not (not (not (8 * -7 + -1 * 7 > 9 * 4) and (-4 * -2 > 8)) and (not (True) and (-6 * 1 + -3 * -6 is less than or equal to -3 * 1)))\n",
    "response_contract": {
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    "role": "final",
    "task": "boolean_expressions"
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  {
    "dataset": "bbeh",
    "family": "4bb92929098817b5fd91bdb653596ed6826f35fe5e7a6ab5d2d9803951e07a6f",
    "id": "bbeh:boolean_expressions:154",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not (not (not not not (not (not (not not not (not ((10 * 9 > 9) and (max(6, -9, -4, 10) - min(6, -9, -4, 10) is greater than 9)) or (-2 * -2 + 5 * 4 is less than or equal to 3 * -7)) and not not (max(9, -4, 2, 4) - min(9, -4, 2, 4) <= 8)) and (max(10, 10, -6, -6) - min(10, 10, -6, -6) is greater than 7)) or (-1 * -7 <= -10)) and not not (False)) and (The capital of Canada is Toronto.)) or not not not (-6 * -3 > 5)) or not not not (The capital of Cameroon is Yaounde.)\n(B) not not (not (not (4 * -4 is less than or equal to 6) and (False)) and (not (max(-9, -2, 8, -6) - min(-9, -2, 8, -6) is greater than 9) or (3 * -4 > -3))) or not not not (not ((max(-10, 3, -10, -6) - min(-10, 3, -10, -6) <= 2) and (max(6, 10, 4, 3) - min(6, 10, 4, 3) > 9)) or ((The capital of Belarus is Grodno.) or (-8 * 7 is less than or equal to -9)))\n(C) not not not (not ((The capital of Jordan is Beirut.) and (The capital of Gambia is Libreville.)) and (not not (False) or not not not (-7 * -1 > 10))) and not not (not not not (not not (-9 * 3 is less than or equal to -2) or not not not (8 * 9 > -1)) and not not (not not not (True) and not not (The capital of Azerbaijan is Baku.)))\n(D) not (not (not not not (not not (not (not not (not (False) or (max(3, 7, 1, -5) - min(3, 7, 1, -5) <= 9)) or not not not (max(-7, -10, -10, 7) - min(-7, -10, -10, 7) is greater than 5)) and (True)) or not not not (-1 * 2 <= -6)) and not not (-1 * 2 > -3)) or (3 * 9 > -1)) and (The capital of Iraq is Baghdad.)\n(E) not not (not not ((False) and (max(1, 8, -4, 5) - min(1, 8, -4, 5) <= 2)) or not not not (not not (False) or not not not (-8 - (5 / 1) > 6))) or not not not (not not (not (-2 * 3 > 8) and (max(-9, 2, -10, -2) - min(-9, 2, -10, -2) <= 9)) or not not not (not (-10 * -6 > -3) or (-6 - (-3 / 10) is less than or equal to 6)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "744418dc312e2da99071c6567ac4c7fe5cc61685134c8d0873268aa4353e3c9d",
    "id": "bbeh:boolean_expressions:156",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not not not (not ((not not (not not not ((not (not not (not not (((not not (False) or not not not (The capital of Iran is Tehran.)) and (max(5, -7, 5, -6) - min(5, -7, 5, -6) is greater than 6)) and (True)) or not not not (max(1, -5, -6, -7) - min(1, -5, -6, -7) > 10)) or not not not (-9 * -1 <= -1)) or (The capital of Jordan is Amman.)) or (-2 * 8 + 5 * 4 > -4 * -2)) and not not (8 * 9 + 5 * -8 is greater than -8 * -2)) or not not not (False)) and (max(-7, 3, 1, 3) - min(-7, 3, 1, 3) <= 4)) and (4 * -3 > 5)) and not not (-6 * -9 + 5 * 2 is greater than 8 * -5)) or (-7 * 9 + 10 * -5 > 3 * 5)) or not not not (-1 - (-5 / -6) is less than or equal to 2)\n(B) not (not not not (not (not ((not (not not not (not (not not not (not not (not (not ((8 * -6 + 6 * -8 <= -7 * 6) or (-3 * 4 + -10 * 8 <= -9 * -9)) or (The capital of Cameroon is Douala.)) or (The capital of UAE is Abu Dhabi.)) or not not not (max(10, 4, -1, 7) - min(10, 4, -1, 7) <= 5)) and not not (-4 - (-5 / -2) <= -9)) and (False)) and not not (The capital of Azerbaijan is Baku.)) or (max(-4, 7, -4, 6) - min(-4, 7, -4, 6) is greater than 1)) and (-4 * 4 + 3 * 7 is less than or equal to 5 * -2)) and (max(-5, -5, 9, -6) - min(-5, -5, 9, -6) is greater than 9)) or (2 * 3 > -4)) and not not (6 - (-3 / -3) <= -7)) or (7 * 3 > 5)\n(C) not (not ((not not (not (not not (not not (not (not (not (1 - (6 / -7) is less than or equal to 7) and (False)) or (max(-1, 2, 7, 6) - min(-1, 2, 7, 6) is greater than 3)) and (max(-8, 8, 2, -7) - min(-8, 8, 2, -7) is greater than 1)) or not not not (max(6, -6, 1, -7) - min(6, -6, 1, -7) is greater than 7)) or not not not (-8 - (-7 / 2) is less than or equal to 4)) and (True)) or not not not (False)) and (max(5, 8, -7, 8) - min(5, 8, -7, 8) <= 1)) and (max(6, 2, 2, 1) - min(6, 2, 2, 1) <= 8)) or (4 * -6 > 6)\n(D) not not not ((not not (not (-10 * -2 > -1) or (False)) or not not not (not (8 - (-2 / -10) <= 2) and (-3 - (-1 / 3) > 1))) or ((not not (10 * -5 is less than or equal to 6) or not not not (1 * -10 + 1 * 4 > -1 * -1)) or (not not not (10 * 6 <= 5) and not not (6 - (-4 / 4) is greater than 3)))) and not not (not (not (not (-3 * -2 + -1 * 6 > -1 * -1) and (False)) and (not (6 * -5 + 4 * 10 is greater than -1 * 1) and (5 * -4 + -10 * -9 is less than or equal to 8 * 2))) and (not not (not (True) or (max(-4, 2, -9, 7) - min(-4, 2, -9, 7) <= 2)) or not not not (not not not (The capital of Belarus is Grodno.) and not not (3 * 3 + -10 * 7 <= -4 * 2))))\n(E) not not not (not not not (not not not (not not not (not not (not not not ((not not ((not not (not (-6 * 2 + -1 * 3 is less than or equal to -6 * 3) or (False)) or not not not (-5 * 7 is less than or equal to 3)) or (-7 - (2 / 10) is less than or equal to -6)) or not not not (True)) or (The capital of Cameroon is Yaounde.)) and not not (4 * -4 + -7 * -10 is less than or equal to 6 * 3)) or not not not (4 * -4 is less than or equal to 6)) and not not (-8 - (-8 / -3) > 3)) and not not (2 * -10 > 2)) and not not (True)) and not not (max(-2, 7, 8, 9) - min(-2, 7, 8, 9) <= 10)\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "afefc0ac7fa4a741d364f020d56dd87089895860020aa63ca977e4d82cbb2197",
    "id": "bbeh:boolean_expressions:161",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (not (4 * 7 + -3 * -3 <= -7 * -10) or (6 * 4 + 3 * -5 is greater than 6 * -6)) or (not (9 * 1 + -5 * 5 is less than or equal to -4 * 7) and (The capital of Norway is Bergen.))) and (not not not (not not (8 * 9 + -2 * 7 is less than or equal to -3 * -9) or not not not (1 - (8 / -4) is greater than 2)) and not not (not not not (max(2, -10, 10, -3) - min(2, -10, 10, -3) is greater than 1) and not not (True)))) and not not (not not (not (not (-6 * -2 + 4 * -2 is greater than 9 * -8) or (-4 * 4 is less than or equal to -9)) and (not not (max(-10, -1, -8, -5) - min(-10, -1, -8, -5) is greater than 4) or not not not (-3 * 9 + 10 * 7 <= -7 * -10))) or not not not (not not not (not not not (True) and not not (10 * 1 > 6)) and not not ((max(-9, 3, -7, -2) - min(-9, 3, -7, -2) <= 4) or (True))))\n(B) not not not (not (not (not (not (not (not not not ((not (not not not (not ((not not not (not not (not (1 * -2 + -2 * 5 is greater than -5 * 3) and (True)) or not not not (The capital of Denmark is Copenhagen.)) and not not (max(-2, 3, -2, -8) - min(-2, 3, -2, -8) <= 4)) and (6 * -2 + -5 * 4 is greater than -10 * 4)) and (True)) and not not (max(-9, -1, 8, 8) - min(-9, -1, 8, 8) <= 2)) or (3 * 1 + 2 * -1 is greater than -8 * 4)) or (The capital of Iran is Tehran.)) and not not (max(2, -2, -9, 8) - min(2, -2, -9, 8) <= 7)) or (-4 - (-1 / 2) > 9)) and (-9 * -7 > -3)) and (10 - (9 / -6) is greater than 2)) or (4 - (-9 / 8) <= 2)) or (4 * -7 + 3 * -1 is less than or equal to 8 * -6)) and not not (7 * 3 <= 5)\n(C) (not (not ((not (not not (not ((not (not ((not not not (not not not (The capital of Denmark is Copenhagen.) and not not (The capital of Germany is Berlin.)) and not not (1 * 8 is less than or equal to 10)) or (-10 * -7 + -9 * 9 is less than or equal to 9 * -6)) or (True)) and (The capital of Turkey is Ankara.)) or (False)) and (10 - (-9 / -10) is greater than -3)) or not not not (9 * 5 > 2)) or (-3 * 4 is less than or equal to 4)) or (The capital of Nepal is Pokhara.)) and (2 * -6 is less than or equal to 8)) or (The capital of Afghanistan is Kabul.)) and (The capital of Turkey is Istanbul.)\n(D) (not not (not (not not not (9 - (9 / -5) <= -2) and not not (-4 * 5 + -4 * 5 > -9 * -2)) or ((-7 * -4 + -9 * -6 is greater than 1 * 9) or (The capital of Denmark is Copenhagen.))) or not not not (not ((The capital of Belarus is Grodno.) and (1 - (10 / -7) <= -2)) and (not not not (6 - (-3 / -7) <= 3) and not not (False)))) or (((not not not (7 * -6 + 8 * -8 > 5 * -10) and not not (False)) and (not (The capital of Norway is Oslo.) and (False))) and (not not (not not (-1 * -7 + 6 * 7 is less than or equal to 5 * -6) or not not not (-8 * -5 + -8 * 9 > 5 * 5)) or not not not ((max(-4, -6, -7, 3) - min(-4, -6, -7, 3) is greater than 7) and (4 * 3 + 1 * -2 is greater than 4 * -10))))\n(E) not not not (not not (not (not (not ((not not (not not not (not not not (True) and not not (max(5, -7, -3, 8) - min(5, -7, -3, 8) is greater than 6)) and not not (-6 * -6 <= -10)) or not not not (-2 * 1 + -2 * -2 is less than or equal to 2 * -5)) and (7 * 1 + -8 * 2 <= 5 * 7)) or (-7 * 9 + -7 * -1 <= -9 * 4)) and (-6 * 4 + -10 * 9 > -5 * 1)) or (False)) or not not not (-4 * -1 + 2 * 10 is greater than -9 * 7)) and not not (-4 * 8 + -7 * -1 <= 4 * 1)\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "b6bb1205b7db2604df781a39d3961020be31705a79d82b866711b4c32060a1a2",
    "id": "bbeh:boolean_expressions:168",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (((1 - (6 / -5) is less than or equal to 5) and (False)) or (not not (The capital of the Nigeria is Lagos.) or not not not (The capital of UAE is Dubai.))) and (not (not not (-5 * -4 + -1 * -8 > 10 * 3) or not not not (The capital of Germany is Berlin.)) or (not not (6 * 10 + 10 * 3 is less than or equal to 7 * 7) or not not not (-2 - (5 / 4) > 1)))\n(B) (not not (not not (not not (True) or not not not (5 * 2 <= 2)) or not not not (not (max(-6, 10, 3, -2) - min(-6, 10, 3, -2) is greater than 8) and (5 - (8 / 8) > 7))) or not not not ((not not (The capital of Colombia is Bogota.) or not not not (10 - (4 / 9) <= -3)) and (not (10 * -6 is less than or equal to 10) or (The capital of Nepal is Kathmandu.)))) and (not not not (not not (not (max(-4, -6, 6, 8) - min(-4, -6, 6, 8) <= 7) or (-2 * -9 + -6 * 7 is greater than 9 * -4)) or not not not (not not (The capital of Afghanistan is Kabul.) or not not not (False))) and not not (not not (not not not (max(3, 7, -5, 3) - min(3, 7, -5, 3) is greater than 1) and not not (max(2, 5, 8, -2) - min(2, 5, 8, -2) is greater than 7)) or not not not (not (1 * 3 + -1 * -4 > 2 * 9) or (The capital of Denmark is Aarhus.))))\n(C) not not not (not not (not (not not (not not (not not not (not not not (not not (not not not ((not (not (not not not (not (-4 * 4 + 4 * -10 <= -7 * -10) and (The capital of Iraq is Beirut.)) and not not (True)) or (-5 - (7 / 3) > 6)) or (The capital of the Nigeria is Abuja.)) and (The capital of India is Mumbai.)) and not not (The capital of Denmark is Aarhus.)) or not not not (-3 * 8 > -2)) and not not (max(3, 3, -4, -10) - min(3, 3, -4, -10) <= 1)) and not not (max(10, -10, -7, 3) - min(10, -10, -7, 3) <= 6)) or not not not (-3 * -6 + 4 * -2 is less than or equal to 8 * -3)) or not not not (The capital of Norway is Oslo.)) or (True)) or not not not (4 * 4 <= -2)) and not not (max(10, -2, -5, -7) - min(10, -2, -5, -7) <= 1)\n(D) not (not (not not not (not (not (not not (not not not (not not not (not ((not (not (not not (not (False) or (-10 * 4 is less than or equal to 8)) or not not not (True)) and (False)) or (9 * -6 + -6 * -1 > -7 * -3)) and (max(10, -8, -9, 6) - min(10, -8, -9, 6) <= 6)) and (-2 * 5 is less than or equal to -8)) and not not (-10 - (6 / -6) > -2)) and not not (max(10, -6, -7, -6) - min(10, -6, -7, -6) is greater than 1)) or not not not (-3 - (-4 / 4) is less than or equal to 5)) and (4 * -1 > -7)) or (True)) and not not (True)) and (10 * 8 + 2 * -10 is greater than -4 * -9)) and (-10 * 1 > -4)\n(E) (not not not (not (not (not not (not ((not ((not (not not not (not (not (not not not (not (-9 - (3 / 4) is less than or equal to 10) or (-5 * -10 + 4 * 3 is less than or equal to -5 * -5)) and not not (5 * -10 + -7 * -4 is less than or equal to 6 * -7)) or (8 * 5 > 10)) or (False)) and not not (max(-10, -9, 9, -4) - min(-10, -9, 9, -4) is greater than 7)) and (max(-7, 3, -9, -10) - min(-7, 3, -9, -10) <= 9)) or (False)) and (-10 * 4 + -10 * -7 <= 7 * 10)) or (-5 - (1 / 7) is less than or equal to 5)) and (max(-1, -8, -1, -2) - min(-1, -8, -1, -2) is greater than 6)) or not not not (True)) or (-7 * 3 > 9)) and (The capital of Denmark is Copenhagen.)) and not not (-7 * 4 is less than or equal to -9)) or (8 * -2 + 8 * 4 is greater than -1 * -3)\n",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "0f9804aef1ade77fe58a31a4b70a81d994cfb7c8e50644d42ef9dd0342e7338d",
    "id": "bbeh:boolean_expressions:170",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not ((not not (not not (not not not ((not not (((not not ((not (not not (not not not (6 - (-9 / -1) <= -6) and not not (-10 * -9 + 2 * 6 is greater than -10 * -7)) or not not not (The capital of Nepal is Kathmandu.)) and (-1 * -3 > -1)) or (10 * -6 is less than or equal to 5)) or not not not (1 * -2 is less than or equal to -2)) or (max(-6, 5, -10, -6) - min(-6, 5, -10, -6) <= 10)) or (-8 * -1 + 6 * -6 > -2 * -3)) or not not not (False)) and (-5 - (-3 / 7) > 4)) and not not (-8 * -10 + 6 * -2 is greater than -10 * 8)) or not not not (9 * 8 + 6 * 10 is greater than 1 * 9)) or not not not (True)) or (2 * 5 <= -7)) or (4 * -9 is less than or equal to 7)) and not not (5 * -10 is less than or equal to -10)\n(B) not not not (not not (not (7 - (-9 / 6) <= -2) and (-3 * -4 > 3)) or not not not ((4 * -10 + 3 * 6 > -9 * -4) or (-10 - (3 / 8) is less than or equal to -1))) and not not (not not ((-5 * 5 is less than or equal to 10) or (-8 * -1 > -10)) or not not not ((The capital of Azerbaijan is Baku.) and (True)))\n(C) not (not (not ((not not (not (not (max(5, 4, -1, 8) - min(5, 4, -1, 8) <= 5) or (-1 - (9 / -8) is greater than -8)) and (max(-9, 1, 6, 1) - min(-9, 1, 6, 1) is greater than 2)) or not not not (max(-5, 1, -7, 3) - min(-5, 1, -7, 3) is greater than 5)) or (-8 * -9 + 8 * 10 is greater than 1 * -10)) and (True)) and (max(3, 7, 9, -6) - min(3, 7, 9, -6) is greater than 2)) and (6 * 9 > 2)\n(D) not (not (not not not ((not (not (not (not not (not (not (not (max(8, -2, 5, -3) - min(8, -2, 5, -3) is greater than 6) and (-8 * -4 > -1)) and (The capital of Norway is Bergen.)) and (False)) or not not not (True)) and (max(7, 9, -3, 4) - min(7, 9, -3, 4) <= 4)) and (6 - (-6 / -4) is greater than -5)) or (max(-9, 2, -9, 4) - min(-9, 2, -9, 4) <= 10)) or (max(-4, -5, 10, 4) - min(-4, -5, 10, 4) <= 5)) and not not (10 - (-6 / 8) is greater than 9)) or (5 - (-4 / -6) is greater than 3)) or (The capital of Canada is Ottawa.)\n(E) (not (not not (not (4 - (4 / -3) is greater than 1) and (max(-3, -10, 6, 2) - min(-3, -10, 6, 2) <= 6)) or not not not (not not not (The capital of Nepal is Kathmandu.) and not not (7 * -4 + -3 * 10 <= 5 * 1))) or (not not not (not not (3 * 4 + -4 * 3 is less than or equal to -4 * 5) or not not not (10 * 1 + 6 * 2 > 9 * 7)) and not not (not (7 - (-6 / 9) <= -1) or (10 - (8 / -4) is greater than -3)))) and ((not not (not not (True) or not not not (The capital of Norway is Oslo.)) or not not not (not (-6 * 6 > 9) or (max(-5, 4, 4, 2) - min(-5, 4, 4, 2) <= 6))) and (not not ((1 - (6 / -5) > 9) or (The capital of India is Mumbai.)) or not not not (not not (max(7, -4, -10, -6) - min(7, -4, -10, -6) <= 9) or not not not (-9 - (1 / 9) > -2))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "b83a212c273498fe3508fa51949cd2858c4ed75d6c112b53aa1fc54977ca2093",
    "id": "bbeh:boolean_expressions:182",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (not ((not (not (not ((not (The capital of Turkey is Ankara.) or (The capital of Gambia is Libreville.)) and (False)) or (False)) or (-5 * 2 > -10)) and (False)) or (max(8, 2, -7, -4) - min(8, 2, -7, -4) <= 6)) or (The capital of Colombia is Bogota.)) and (8 * -8 + 4 * -3 > 1 * 5)) or (5 * 1 <= -1)) and not not (-9 * 7 + -6 * 1 <= 3 * 6)\n(B) not not (not not (not (not (False) or (10 * -6 + -5 * 9 > 1 * -2)) or (not (False) and (max(-5, 9, -8, 9) - min(-5, 9, -8, 9) is greater than 6))) or not not not ((not not not (max(1, -6, -7, 1) - min(1, -6, -7, 1) <= 6) and not not (-9 * 8 + -3 * 3 > -3 * 10)) and (not not (The capital of Azerbaijan is Ganja.) or not not not (The capital of Iran is Isfahan.)))) or not not not ((not not (not (The capital of Turkey is Istanbul.) and (-7 * 1 + -2 * -7 is greater than -6 * 2)) or not not not (not (True) and (1 * 10 + -5 * -2 is greater than 10 * -2))) and (((True) or (4 * 6 + -10 * 10 > -10 * -5)) and (not not (False) or not not not (True))))\n(C) not not not ((not not (max(9, -4, 5, -5) - min(9, -4, 5, -5) is greater than 2) or not not not (False)) and ((max(7, -9, 9, -5) - min(7, -9, 9, -5) <= 3) and (-8 * 2 + -8 * -7 is less than or equal to -5 * 7))) and not not (not (not not (-5 * -1 + -10 * 6 is less than or equal to 10 * -8) or not not not (5 * -6 + 6 * -2 <= -4 * -1)) and ((False) and (The capital of Armenia is Yerevan.)))\n(D) not not not (not (not (not not (not not (not (not not not (not (not not (not not (not ((not (8 * 3 + -6 * -5 is greater than -4 * -5) and (6 * -4 is less than or equal to -2)) and (-8 * -1 <= 3)) or (-7 - (3 / 4) > 7)) or not not not (False)) or not not not (8 - (8 / -10) <= -10)) and (max(1, 1, -9, 7) - min(1, 1, -9, 7) <= 6)) and not not (-3 * 3 + 8 * -6 > -4 * -2)) or (The capital of Azerbaijan is Baku.)) or not not not (The capital of UAE is Dubai.)) or not not not (True)) and (max(6, -5, -10, 6) - min(6, -5, -10, 6) is greater than 2)) and (The capital of Turkey is Ankara.)) and not not (-9 - (-2 / 1) > -5)\n(E) (not not not (not not not (max(3, 6, -5, 8) - min(3, 6, -5, 8) <= 8) and not not (8 - (7 / 9) is greater than -7)) and not not (not not not (5 - (1 / -2) is greater than 3) and not not (True))) and (not ((1 * 9 + 10 * -8 <= -3 * -6) and (False)) and (not (max(1, 8, -8, 9) - min(1, 8, -8, 9) is greater than 8) or (-6 * 5 + -2 * -6 > 1 * 10)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "1828633a698b4c6ab5f18a71776a85c2d0903e0779a471cc68447fb51014f4b1",
    "id": "bbeh:boolean_expressions:184",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not (not (not not not ((not not (not not not (-9 * 7 > 5) and not not (The capital of Armenia is Yerevan.)) or not not not (9 * -6 + 3 * -1 <= 6 * 10)) or (True)) and not not (max(-10, -1, -2, 10) - min(-10, -1, -2, 10) <= 9)) or (9 * 1 + -3 * -5 is greater than 10 * -5)) or not not not (-6 - (-6 / 4) > 3)) and not not (-4 * -2 + 6 * -8 > -1 * 7)) and (True)\n(B) not (not (not (not (not ((not (not not (-1 * 6 + 7 * 5 is greater than -2 * -4) or not not not (True)) and (10 * -9 + -8 * 5 > -2 * -1)) or (2 * 7 > -8)) and (7 - (3 / -5) is greater than 1)) and (max(-4, -8, 7, -9) - min(-4, -8, 7, -9) is greater than 7)) and (max(3, -4, 4, 8) - min(3, -4, 4, 8) is greater than 8)) and (The capital of Azerbaijan is Baku.)) or (False)\n(C) (not not ((-1 * -5 + -2 * 5 is less than or equal to 2 * -7) and (max(-5, 1, -7, 7) - min(-5, 1, -7, 7) <= 2)) or not not not (not (False) or (5 * -1 is less than or equal to -5))) or (not (not not (-2 - (-4 / 7) is greater than -7) or not not not (6 - (1 / -8) > 8)) and (not not not (10 - (-6 / -6) is greater than -2) and not not (4 - (-2 / 9) is less than or equal to 8)))\n(D) not (((not ((not (not (not not (not not not ((not not not (not not not (3 * -2 + -7 * -3 is greater than 7 * -3) and not not (True)) and not not (The capital of Armenia is Gyumri.)) and (-9 * -1 <= -10)) and not not (max(-2, 5, -3, 1) - min(-2, 5, -3, 1) <= 9)) or not not not (4 - (-6 / 7) > 9)) or (7 * 10 > -7)) and (-1 * 1 is less than or equal to 7)) and (-2 - (6 / 5) > 4)) or (The capital of Malaysia is Putrajaya.)) or (-9 - (6 / -4) <= -10)) or (-5 * -7 <= 2)) or (2 * -3 > 10)\n(E) not (not not (not (not (max(4, 10, -7, -1) - min(4, 10, -7, -1) is greater than 5) and (-7 * 1 + -8 * 4 > -4 * -4)) or ((6 - (9 / 7) is greater than 1) and (-9 * 2 + -1 * -1 > -7 * -3))) or not not not (not not not (not (-5 * -1 > -1) and (max(3, 9, -10, 10) - min(3, 9, -10, 10) is greater than 8)) and not not (not (max(-9, 8, -9, -2) - min(-9, 8, -9, -2) is greater than 2) and (7 * 10 > -6)))) and (not ((not not not (-7 * -7 + 10 * -3 > 4 * 8) and not not (-8 * -10 + 9 * 8 is greater than 4 * 1)) and ((max(8, 8, 3, 8) - min(8, 8, 3, 8) <= 4) or (5 - (4 / -4) <= 3))) or ((not (The capital of Iran is Tehran.) and (max(5, -1, -9, -2) - min(5, -1, -9, -2) is greater than 6)) and (not (5 * 1 + 1 * -5 is less than or equal to -6 * 3) or (The capital of Colombia is Medellin.))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "bac852bfec82d36346e7e7b18a019c1c706ba6e2bec251d4f430699e2b8f676a",
    "id": "bbeh:boolean_expressions:187",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not (not not not ((not not ((not ((7 * -4 > -3) or (1 * 2 + -5 * 4 > -3 * -3)) or (-8 * -3 + -5 * 5 is greater than -4 * 1)) or (3 - (-3 / 2) is greater than 4)) or not not not (False)) or (False)) and not not (The capital of Norway is Oslo.)) or not not not (-6 * -3 + -6 * -10 is greater than -3 * -1)) and (-6 - (-10 / -9) is less than or equal to 8)\n(B) not not (not ((not not not (not not (not not ((not ((not (not not (not ((The capital of Canada is Ottawa.) and (10 * -8 + -2 * 1 <= -5 * 8)) and (The capital of Iran is Tehran.)) or not not not (The capital of Afghanistan is Kabul.)) or (False)) or (True)) and (True)) or (2 - (1 / -7) <= -3)) or not not not (False)) or not not not (5 * 7 + -10 * 3 <= -6 * -6)) and not not (The capital of Jordan is Amman.)) and (True)) and (2 - (9 / 9) <= -6)) or not not not (max(6, -8, -10, -6) - min(6, -8, -10, -6) is greater than 7)\n(C) not (not not (not (6 * -10 + -5 * -8 <= 8 * -2) and (-1 * 6 > 3)) or not not not (not (False) or (max(-8, -7, -10, -3) - min(-8, -7, -10, -3) is greater than 6))) and (not not not (not (-7 * 2 is less than or equal to -9) or (max(7, 8, 10, -3) - min(7, 8, 10, -3) <= 7)) and not not (not not not (True) and not not (-9 * -9 + -5 * 5 is less than or equal to 6 * 4)))\n(D) not not not (not not not (not not not (-4 * 3 + -9 * -2 is less than or equal to -7 * 8) and not not (-2 - (7 / 4) is less than or equal to 7)) and not not (not (max(2, -8, 9, 9) - min(2, -8, 9, 9) is greater than 5) and (9 * -6 + -2 * -4 > 4 * -5))) and not not (not (not (The capital of Malaysia is Putrajaya.) or (4 * -6 + -2 * -7 > 9 * 5)) and (not not (The capital of Canada is Ottawa.) or not not not (max(-2, 4, -10, 3) - min(-2, 4, -10, 3) is greater than 1)))\n(E) (not not not (not not not (True) and not not (max(1, -4, -3, 10) - min(1, -4, -3, 10) <= 6)) and not not ((max(10, -9, -1, -10) - min(10, -9, -1, -10) is greater than 3) and (-10 - (-5 / 1) > 7))) or (not ((The capital of Germany is Munich.) and (2 * 8 + -1 * 3 is less than or equal to -10 * 4)) and (not not not (-1 * 10 + -9 * 2 is less than or equal to 10 * -6) and not not (9 * 2 > 9)))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "3d27dfe0365bf18d614c7592590f794c8a788de6d551d7d1ae56c60af469f659",
    "id": "bbeh:boolean_expressions:193",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (not not not (5 * -2 is less than or equal to 6) and not not (-7 * 7 is less than or equal to 2)) and ((max(5, -5, 2, 4) - min(5, -5, 2, 4) <= 6) or (-10 * 2 + -6 * 3 <= 2 * 10))) or not not not (not not (not not (9 * 7 <= -8) or not not not (max(-9, -8, 7, -9) - min(-9, -8, 7, -9) is greater than 1)) or not not not (not not (-5 * -5 + -9 * -8 is greater than -3 * 5) or not not not (False)))) and (not not not ((not not (False) or not not not (-3 * 8 + 2 * -2 > 4 * 7)) and (not (5 - (-6 / 7) is greater than 1) and (8 - (-9 / -7) is greater than -7))) and not not ((not not (The capital of Colombia is Bogota.) or not not not (The capital of India is New Delhi.)) and (not not (False) or not not not (-9 * -9 + 8 * -3 is less than or equal to -4 * 1))))\n(B) not not (not not not (not (True) or (5 * 9 <= -1)) and not not (not not not (The capital of UAE is Abu Dhabi.) and not not (max(-4, -9, -2, 7) - min(-4, -9, -2, 7) <= 1))) or not not not ((not (-7 * -3 <= 5) or (True)) and ((6 * -5 + -2 * -3 <= -3 * -10) and (-6 * -10 <= -10)))\n(C) not not not (not ((The capital of Turkey is Istanbul.) and (max(-2, -7, 3, 8) - min(-2, -7, 3, 8) <= 2)) and (not not (8 * 7 + -4 * -7 is greater than -4 * 8) or not not not (True))) and not not (not not not (not (3 * -4 + 7 * -10 <= -1 * 10) or (False)) and not not ((False) or (-10 * 5 + -9 * 6 > -8 * 8)))\n(D) not (not not (not (not (not (not not (not not not (not not (not (not (not (not (not not not (1 - (5 / -1) is greater than -8) and not not (-4 * -5 + -1 * -9 is greater than -7 * 10)) and (-2 - (2 / 6) > 1)) or (The capital of Iraq is Baghdad.)) and (max(2, 6, 2, -7) - min(2, 6, 2, -7) is greater than 1)) or (-2 * 9 + 5 * -10 <= 7 * -5)) or not not not (True)) and not not (-3 * -8 + 9 * 8 is less than or equal to -1 * 8)) or not not not (True)) or (max(-4, -3, -3, 6) - min(-4, -3, -3, 6) <= 7)) and (False)) or (True)) or not not not (The capital of Turkey is Istanbul.)) or (3 - (4 / 10) > 3)\n(E) not (not not not ((not (not not (not ((not not not (not not (not (max(-7, -8, 5, -9) - min(-7, -8, 5, -9) is greater than 9) or (max(-3, 4, 4, -2) - min(-3, 4, 4, -2) <= 6)) or not not not (max(8, 8, -6, 2) - min(8, 8, -6, 2) is greater than 10)) and not not (-8 - (5 / -7) is less than or equal to -4)) and (-8 - (6 / 7) is less than or equal to 2)) or (The capital of Gambia is Libreville.)) or not not not (-7 * -4 + 10 * -5 is greater than 3 * -9)) or (-8 - (-7 / -8) is less than or equal to -8)) and (-7 - (2 / -10) > 4)) and not not (The capital of Nepal is Pokhara.)) and (The capital of Nepal is Pokhara.)\n",
    "response_contract": {
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    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "86c1cc9b15c4769c0a6382d9903a2aa2b99c8c02f6531076b0b62e5cae79c24a",
    "id": "bbeh:boolean_expressions:196",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not (4 * -6 > -5) or not not not (max(7, 9, -10, -6) - min(7, 9, -10, -6) is greater than 6)) or (not not (False) or not not not (The capital of the Nigeria is Abuja.))) and ((not not not (1 * -2 is less than or equal to 6) and not not (True)) and (not (-2 - (-5 / 3) > 2) and (-3 - (1 / 6) <= -6)))\n(B) not (not not not (not (not (not not not (not not not (not ((not (not (not (not ((The capital of Gambia is Banjul.) and (True)) or (-6 * -8 + -5 * -1 is less than or equal to 5 * -8)) or (3 - (4 / 10) > 6)) or (False)) or (1 * -6 > 5)) or (The capital of UAE is Dubai.)) and (The capital of Colombia is Medellin.)) and not not (True)) and not not (2 - (1 / -4) > 8)) and (The capital of Colombia is Bogota.)) and (The capital of Gambia is Libreville.)) and not not (The capital of Malaysia is Putrajaya.)) or (-6 - (-7 / -6) > 1)\n(C) not (not not not (not not not (not (not (not (not ((10 - (-1 / -4) is greater than 8) or (-9 * -9 <= 10)) and (1 * -7 + -8 * 7 <= -6 * 1)) and (True)) and (-9 - (-1 / 3) is less than or equal to -6)) or (The capital of Iraq is Beirut.)) and not not (The capital of Canada is Ottawa.)) and not not (True)) and (-3 - (2 / 5) is less than or equal to 1)\n(D) (not not (not not (not not not ((((not not (not not not (not not (not not (1 - (3 / 9) is less than or equal to 10) or not not not (The capital of UAE is Abu Dhabi.)) or not not not (False)) and not not (The capital of Gambia is Libreville.)) or not not not (-3 - (-3 / -5) > -2)) or (max(-1, -6, 9, -7) - min(-1, -6, 9, -7) is greater than 4)) and (False)) or (3 * 1 + -4 * 8 > -5 * -7)) and not not (9 - (4 / 8) is less than or equal to 10)) or not not not (10 * -6 + 4 * 1 <= 4 * 2)) or not not not (False)) and (The capital of Iraq is Beirut.)\n(E) ((not ((not (not not (not (not not not (not ((not not not (not (1 * 9 + -6 * 7 <= -2 * 9) and (-9 * 9 + 7 * 10 is less than or equal to 10 * -7)) and not not (False)) or (3 * 1 + 2 * 9 is greater than -5 * 5)) and (-3 * -1 > -8)) and not not (-9 * 9 + -6 * -6 <= 9 * -3)) or (-1 * 3 > 8)) or not not not (The capital of Nepal is Kathmandu.)) or (-10 * 1 is less than or equal to 8)) or (max(-5, -1, 8, -4) - min(-5, -1, 8, -4) is greater than 10)) or (8 * 7 + 10 * 5 is less than or equal to 7 * -7)) and (5 * 10 <= 3)) and (-3 - (-2 / -10) is less than or equal to -1)\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "011b750c8ffb9494f47d7d89841493d7990cd6535c74e95f03dedd2a60089bd6",
    "id": "bbeh:boolean_expressions:197",
    "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not (not not not (not (not not not (not (not not (not (2 - (-9 / -7) <= -8) and (False)) or not not not (3 - (-7 / -8) is less than or equal to 6)) or (max(-10, -9, 10, 8) - min(-10, -9, 10, 8) <= 8)) and not not (The capital of Cameroon is Douala.)) and (The capital of Turkey is Ankara.)) and not not (4 * 2 + -3 * 3 is less than or equal to 10 * -6)) or not not not (The capital of Canada is Ottawa.)) or (The capital of Colombia is Bogota.)) and (The capital of Denmark is Aarhus.)\n(B) not (((not not (not not not (not not not ((not not ((not not (5 * 1 + -4 * -8 is greater than 9 * -6) or not not not (4 * 2 + -4 * -1 > -6 * -9)) and (-9 - (-4 / -3) > 4)) or not not not (True)) or (The capital of Cameroon is Yaounde.)) and not not (True)) and not not (1 * 7 + -2 * 4 <= -1 * -10)) or not not not (7 * 6 + -2 * -2 is greater than -9 * 9)) and (False)) and (6 * -4 + 3 * 6 is greater than 8 * -2)) or (The capital of Gambia is Banjul.)\n(C) not (((not not (-6 * 5 + -4 * 5 > 4 * 2) or not not not (False)) and (not (False) and (-5 * 1 + 4 * 8 is greater than 6 * -10))) or (not (not (-10 - (2 / 5) is less than or equal to 6) and (-2 * 6 + -4 * 6 > -10 * -3)) or (not not (5 - (-10 / -5) is greater than -6) or not not not (False)))) and (not not (not not not (not (7 - (-10 / -7) <= -9) or (3 * 3 > -5)) and not not ((True) and (7 - (-8 / -4) <= -10))) or not not not ((not (The capital of Belarus is Minsk.) and (7 * -9 + -2 * 3 > -6 * 5)) or (not (The capital of Colombia is Bogota.) or (The capital of Iran is Isfahan.))))\n(D) not not not (((not (not (not (not not (not (not (not not (not (not (not not not (not (not not not (-5 - (-8 / -9) <= -8) and not not (max(7, -2, 4, 4) - min(7, -2, 4, 4) is greater than 7)) or (The capital of Turkey is Ankara.)) and not not (7 * -10 > -7)) and (7 * 7 > -1)) or (4 * 10 + 5 * -1 is less than or equal to 4 * -7)) or not not not (2 * 1 <= -1)) or (9 - (-2 / -4) <= -10)) and (-9 - (9 / 1) is less than or equal to -2)) or not not not (-8 * 8 + -8 * 2 <= -10 * -7)) and (3 * 2 > 1)) or (False)) and (True)) or (False)) and (max(-2, -2, 8, -1) - min(-2, -2, 8, -1) is greater than 8)) and not not (False)\n(E) not not not ((not not (not not not (The capital of Turkey is Ankara.) and not not (7 * 7 > 3)) or not not not ((-8 * -7 + -3 * 9 is greater than 2 * -10) and (The capital of Iraq is Baghdad.))) or (not not (not not (The capital of Armenia is Yerevan.) or not not not (The capital of Belarus is Minsk.)) or not not not (not (4 * -7 > 6) or (-5 * -4 + 5 * 9 > -8 * -9)))) and not not (not (not ((False) or (False)) or (not (4 - (-2 / -2) <= -9) and (-8 - (5 / -1) is less than or equal to 10))) or (not not not (not not (5 - (3 / -8) is greater than -6) or not not not (7 * 2 > 8)) and not not ((10 * 1 + 2 * 8 is less than or equal to -7 * 5) and (True))))\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "boolean_expressions"
  },
  {
    "dataset": "bbeh",
    "family": "21c2b2a6d4fb287d9217800396a0f730e1ad8edf3901897537e1d1e37053352b",
    "id": "bbeh:buggy_tables:002",
    "request": "I have a table with 28 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 3158 && 13912| 36 && 34| 78 && 33| 358 && 393| 23:44 && 23:15| 64 && 92| 2 && 10| 2 && 6| null && 411| Mon && Tue| 1417 && null| null && 7| 24 && 26| 6 && 5| 878 && 684| 26 && 12| 38 && 39 |\n| 2025-01-25 && 2025-01-24| 17135 && 14571| 14 && null| 91 && 77| 384 && 403| 21:36 && 21:18| 12 && 75| 9 && null| 6 && 8| 849 && 297| null && Thu| null && 1139| null && 13| 22 && 22| 2 && 3| 863 && 2054| 46 && 58| 55 && 13 |\n| 2025-01-23 && 2025-01-22| 13947 && 6611| 12 && 52| 72 && 91| 304 && 492| 21:13 && 23:56| null && 51| 8 && 8| 5 && 7| null && 287| Fri && Sat| 989 && 1261| null && 11| 2 && 27| 6 && 10| 2738 && 2881| 47 && 23| 11 && 29 |\n| 2025-01-21 && 2025-01-20| 365 && 8290| 76 && 24| 83 && 57| 576 && 577| 22:49 && 23:37| 34 && null| 10 && 10| 10 && 5| 107 && 912| Sun && null| 460 && 1433| 7 && 8| 8 && 51| 6 && 8| 1343 && 2635| 13 && 43| 18 && 16 |\n| 2025-01-19 && 2025-01-18| 18708 && 14014| 88 && 11| 77 && 68| 483 && 329| 22:26 && 22:42| 19 && 49| 5 && 7| 6 && 10| 456 && 493| Tue && Wed| 1626 && 400| 1 && null| null && 17| 9 && 1| 1276 && 1739| 11 && 32| 27 && 38 |\n| 2025-01-17 && 2025-01-16| 15002 && 16200| null && 94| 77 && 87| null && 551| 21:59 && 22:44| 96 && null| null && 9| 8 && 3| null && 560| Thu && null| 720 && 1760| 9 && 2| 21 && 11| 6 && 4| 2510 && 1970| 26 && 45| 36 && 46 |\n| 2025-01-15 && 2025-01-14| 3939 && 18792| 13 && 99| 75 && 57| 373 && 598| 23:59 && 22:42| 39 && 62| null && 2| 2 && 5| null && null| Sat && Sun| 1623 && 897| 11 && 4| 56 && null| 10 && 1| 2082 && 1504| 46 && 10| 11 && 24 |\n| 2025-01-13 && 2025-01-12| 9787 && 17889| 87 && 16| 45 && 95| 573 && 536| 23:52 && 21:10| 42 && 12| 4 && 8| 1 && null| 736 && 716| null && Tue| 1374 && 1386| 8 && 7| 46 && 56| 8 && 5| null && 2359| 31 && 56| 53 && 44 |\n| 2025-01-11 && 2025-01-10| 10725 && 11635| 10 && 96| 22 && 14| 550 && null| null && 22:10| 64 && 23| null && 6| null && 7| 462 && 146| Wed && Thu| 961 && 878| 11 && 12| 28 && 60| 7 && 3| 1413 && 2746| null && null| 34 && 29 |\n| 2025-01-09 && 2025-01-08| 7153 && null| 17 && 60| 66 && 21| null && 339| 22:46 && 21:47| 82 && null| 10 && 5| 4 && 1| 462 && 680| Fri && Sat| 1028 && 420| 5 && 4| 22 && null| null && 6| 2284 && 1663| 18 && 12| 20 && 30 |\n| 2025-01-07 && 2025-01-06| 18474 && 10782| 91 && 30| 54 && 45| 428 && 588| null && 23:26| null && 50| 2 && 3| 8 && 2| 390 && 542| Sun && Mon| 1821 && 519| 1 && 6| 14 && 14| 3 && 10| 2180 && 2478| 11 && 38| null && 40 |\n| 2025-01-05 && 2025-01-04| null && 1099| 10 && 15| 62 && 23| 526 && 433| 22:50 && 22:50| 97 && 48| 9 && 8| 2 && 9| null && 405| Tue && Wed| 1177 && 360| 9 && 6| 45 && 52| 7 && 8| 918 && 646| 30 && 15| 36 && 14 |\n| 2025-01-03 && 2025-01-02| 8752 && 1257| 54 && 21| 60 && 24| 535 && 407| 23:10 && 23:21| 80 && 90| 2 && 1| 7 && 3| 392 && 518| Thu && null| 691 && 1379| 2 && 6| 9 && 46| 5 && 4| 1632 && 2526| 13 && 51| 13 && 26 |\n| 2025-01-01 && null| 5116 && null| null && null| null && null| 402 && null| 21:21 && null| 70 && null| 10 && null| null && null| null && null| Sat && null| 884 && null| 6 && null| 30 && null| 6 && null| 913 && null| 52 && null| 12 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the mean of column coding_minutes and column phone_screen_time_minutes, only looking at the days where the music listening minutes was greater than 25 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "952353b67bda75da47e13cb6cd27b74215d5a2a6f9faf8d926671ac3c10c42ae",
    "id": "bbeh:buggy_tables:007",
    "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 19676| 24   | 12   | 375  | 23:16| 61   | 10   | 7    | 943  | Mon  | 815  | 6    | 6    | 10   | 2660 | 17   | 33    |\n| 2025-01-26| 13553| 23   | 12   | 370  | ERROR| 71   | 7    | 3    | ERROR| Tue  | 977  | null | 36   | 5    | null | 59   | 14    |\n| 2025-01-25| 4551 | null | 16   | null | ERROR| 30   | 8    | 10   | 453  | Wed  | 831  | 7    | 59   | 5    | ERROR| 46   | 11    |\n| 2025-01-24| ERROR| 73   | 13   | 573  | 23:21| 85   | 6    | 2    | ERROR| Thu  | ERROR| null | 21   | 9    | null | 16   | ERROR |\n| 2025-01-23| 7476 | ERROR| 87   | 597  | 21:20| 16   | 7    | 6    | 118  | Fri  | ERROR| 5    | 36   | 10   | null | 12   | 57    |\n| 2025-01-22| 5154 | 97   | 28   | null | 22:58| 93   | 9    | null | 330  | null | 1771 | 13   | 4    | 2    | ERROR| 20   | 54    |\n| 2025-01-21| 16227| 48   | 71   | 332  | 21:18| 36   | 1    | ERROR| 990  | Sun  | 1490 | null | 53   | 7    | 2182 | 20   | 54    |\n| 2025-01-20| ERROR| 47   | 74   | 378  | ERROR| 35   | 2    | 6    | ERROR| null | 1322 | 15   | 49   | ERROR| 1887 | 31   | 45    |\n| 2025-01-19| 8651 | 16   | 85   | ERROR| 23:21| null | ERROR| 8    | 325  | Tue  | 531  | null | 30   | 8    | 2954 | null | 21    |\n| 2025-01-18| 11523| 55   | 18   | 325  | 23:33| 60   | null | 2    | 428  | null | 320  | 7    | 42   | ERROR| 781  | 22   | 15    |\n| 2025-01-17| 9969 | 28   | 29   | 372  | 21:33| 47   | null | 5    | 539  | Thu  | 489  | 3    | null | 6    | ERROR| ERROR| 46    |\n| 2025-01-16| 13336| 17   | 32   | 388  | null | 18   | 4    | ERROR| 485  | Fri  | 1158 | 4    | 32   | 2    | 1431 | 47   | null  |\n| 2025-01-15| 3821 | 11   | 68   | null | 21:46| 86   | null | 4    | null | null | 1552 | null | 55   | 9    | 2123 | ERROR| 42    |\n| 2025-01-14| 9122 | null | 87   | ERROR| 21:45| 100  | 4    | 5    | ERROR| Sun  | 572  | 4    | 30   | 5    | 2205 | null | 15    |\n| 2025-01-13| 10382| 52   | 28   | ERROR| 21:42| 71   | 5    | 7    | 139  | null | 1005 | 11   | 6    | 4    | ERROR| null | ERROR |\n| 2025-01-12| 8440 | 88   | 62   | 478  | null | 59   | ERROR| 4    | 182  | Tue  | 1172 | 14   | 32   | 6    | 804  | 59   | 36    |\n| 2025-01-11| 14135| 52   | 46   | 368  | ERROR| 55   | 1    | ERROR| ERROR| Wed  | 1564 | 3    | 29   | 10   | 2134 | null | 42    |\n| 2025-01-10| 7764 | ERROR| 64   | 586  | 22:52| 76   | 10   | 1    | 993  | Thu  | 1604 | 15   | 40   | 7    | 2977 | 14   | null  |\n| 2025-01-09| 5420 | null | null | 454  | 22:52| 84   | 4    | 3    | 601  | Fri  | 1272 | 5    | 57   | 6    | null | 59   | 10    |\n| 2025-01-08| 16636| null | 79   | 543  | 23:47| 66   | 9    | 8    | 128  | ERROR| 1154 | 9    | 57   | 4    | 2498 | 35   | 11    |\n| 2025-01-07| 13975| 26   | 48   | ERROR| 21:47| 20   | 7    | 7    | 252  | null | ERROR| 6    | 23   | null | 1956 | 32   | 32    |\n| 2025-01-06| 5034 | ERROR| 73   | 402  | 23:40| 61   | 1    | 4    | 832  | Mon  | 1901 | 13   | ERROR| 5    | null | 37   | 13    |\n| 2025-01-05| 9248 | 46   | 62   | 558  | 21:21| 79   | 3    | 6    | 450  | ERROR| 1499 | 4    | 8    | 9    | 2852 | null | 50    |\n| 2025-01-04| 8067 | 79   | 47   | null | 22:25| 92   | 1    | ERROR| 148  | Wed  | 1293 | 3    | 23   | 4    | 2575 | 18   | 25    |\n| 2025-01-03| 8301 | null | 46   | 356  | 23:58| ERROR| ERROR| 4    | 178  | Thu  | 392  | 10   | 27   | 5    | 2266 | 47   | 18    |\n| 2025-01-02| 14705| null | 75   | ERROR| 22:45| 94   | 10   | null | 299  | Fri  | 1280 | 4    | 25   | ERROR| null | ERROR| ERROR |\n| 2025-01-01| 16907| 21   | 47   | 317  | 23:59| 32   | 10   | 3    | 205  | Sat  | 1873 | 12   | null | 1    | 1372 | 12   | 55    |\n| 2024-12-31| 17760| 51   | ERROR| 322  | 23:50| 41   | ERROR| 4    | 995  | null | 1310 | null | 45   | 9    | 1761 | 57   | 40    |\n| 2024-12-30| 4275 | ERROR| 29   | 557  | 21:57| ERROR| ERROR| 5    | 529  | Mon  | null | 8    | 24   | 6    | 686  | 13   | 27    |\n| 2024-12-29| 1753 | ERROR| 99   | 370  | 21:58| ERROR| 5    | 8    | 624  | Tue  | 938  | 10   | ERROR| 9    | 2769 | 28   | 11    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [11539, 12047, 27, 34, 50, 92, 58, null, 486, 546, 338, null, 550, 22:24, 21:16, 21:53, 21:32, 95, 12, 17, 1, 9, 1, 8, 1, 7, 9, 9, 6, 417, 157, 959, 228, 212, Sat, Tue, 818, 1641, 632, 54, 1, null, 4, 1, 864, 2886, 946, 2999, 48, 44, 12, 14, null, 13]. Compute the absolute difference between the sum of column sleep_minutes and column exercise_minutes, only looking at the days where the number of steps was less than 17000 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "2c0c8a919efdc05c4ff0a378dc3922c85458250dc2d34b3cc91d4bf940997c83",
    "id": "bbeh:buggy_tables:011",
    "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 43   | 2025-01-27| 18507| null | 49   | 533  | 23:33| 42   | 5    | 6    | 702  | Mon  | 389  | 9    | 37   | 9    | 2208 | 50    |\n| 41   | 16   | 2025-01-26| 4378 | 19   | 11   | 425  | 21:36| 74   | 1    | null | 329  | Tue  | 632  | 13   | 23   | 6    | 2345  |\n| 2241 | 54   | 19   | 2025-01-25| 1304 | 38   | 91   | 338  | 22:51| 96   | 7    | 5    | 349  | Wed  | 408  | 7    | 52   | 2     |\n| null | 580  | 25   | 31   | 2025-01-24| 2374 | 81   | 38   | 485  | 23:29| 61   | 5    | 10   | 596  | null | 1846 | 7    | 44    |\n| 52   | 7    | 1531 | 13   | 26   | 2025-01-23| 2962 | 69   | 50   | 503  | 21:25| 11   | 5    | 1    | 426  | Fri  | null | null  |\n| 11   | 26   | 5    | 1411 | 35   | 21   | 2025-01-22| 9828 | 28   | null | null | 23:22| 51   | 1    | 8    | 121  | Sat  | null  |\n| 507  | 6    | null | 6    | 1980 | 15   | 32   | 2025-01-21| 16794| 71   | 93   | 498  | 23:21| 68   | 9    | 5    | null | Sun   |\n| null | 765  | 8    | 9    | 7    | 1387 | 51   | null | 2025-01-20| 5320 | 57   | 33   | 321  | 23:52| 100  | null | 7    | 124   |\n| 648  | Tue  | 1230 | 12   | 64   | 9    | 982  | 42   | 33   | 2025-01-19| 6893 | 64   | 85   | 550  | 21:16| 26   | 8    | 1     |\n| 1    | 953  | Wed  | 1079 | 15   | 15   | null | 2165 | 41   | 28   | 2025-01-18| 14105| 92   | 51   | 479  | 23:10| 81   | 6     |\n| 5    | 2    | 571  | null | 759  | 6    | 57   | 1    | 2699 | 30   | 17   | 2025-01-17| null | 78   | 14   | 314  | 22:52| 22    |\n| 26   | 5    | 10   | 622  | Fri  | 864  | 1    | 0    | 4    | 1125 | 21   | 34   | 2025-01-16| 18762| 22   | 39   | 314  | 22:37 |\n| 21:46| 17   | 1    | null | 390  | null | 1155 | 7    | 17   | 4    | 541  | 43   | 37   | 2025-01-15| 10270| 92   | null | 305   |\n| 588  | 21:29| 38   | 7    | 5    | 710  | Sun  | null | null | 36   | null | 1823 | 56   | 55   | 2025-01-14| 8560 | null | 43    |\n| null | 349  | 21:52| 92   | 9    | 6    | 235  | null | 789  | 3    | 10   | 9    | 1473 | 39   | 16   | 2025-01-13| null | 64    |\n| 72   | 100  | null | 23:16| 40   | 7    | 3    | null | Tue  | 393  | 13   | 1    | 7    | 1862 | 32   | 34   | 2025-01-12| 4627  |\n| 15673| 65   | 23   | 360  | null | 49   | 6    | 9    | 663  | Wed  | 1408 | 4    | 20   | 5    | 2170 | 56   | 25   | 2025-01-11 |\n| 2025-01-10| 11801| 26   | 48   | 565  | 21:27| 92   | 4    | 9    | 705  | Thu  | 586  | 1    | 19   | 3    | 2556 | 40   | 31    |\n| 37   | 2025-01-09| 16240| 27   | 73   | 424  | null | 10   | null | 9    | 418  | null | 1128 | 3    | 43   | 8    | null | 10    |\n| 32   | 40   | 2025-01-08| 7645 | 91   | 44   | 501  | 22:33| 33   | 10   | 9    | 159  | Sat  | 1631 | 3    | 30   | 1    | 560   |\n| 2236 | 59   | 45   | 2025-01-07| 11452| 89   | 59   | 421  | 21:35| 83   | 4    | 6    | 879  | Sun  | 970  | 10   | 40   | 5     |\n| null | 1091 | 53   | 11   | 2025-01-06| 17225| 25   | 67   | 348  | 21:19| 75   | null | 5    | null | Mon  | 1450 | 6    | 19    |\n| 21   | 4    | 2471 | 30   | 13   | 2025-01-05| null | 78   | null | 461  | 22:48| null | null | 1    | 101  | Tue  | 1324 | 15    |\n| 11   | null | 7    | 2241 | 25   | 53   | 2025-01-04| 244  | 91   | 72   | null | null | 84   | 6    | 6    | 608  | Wed  | 1782  |\n| 1995 | 10   | 65   | 9    | 2014 | 33   | 25   | 2025-01-03| 4482 | null | 49   | 462  | 22:18| 90   | 10   | null | 447  | Thu   |\n| Fri  | 1322 | 1    | 65   | 8    | 1678 | null | 11   | 2025-01-02| 1432 | 15   | 59   | 327  | null | 40   | 1    | 8    | 945   |\n| 788  | null | 1130 | 12   | 45   | 3    | 1847 | null | 11   | 2025-01-01| 6930 | null | 77   | 579  | 22:24| 38   | 1    | 1     |\n| 4    | 561  | Sun  | null | 14   | 14   | 1    | 1070 | 26   | null | 2024-12-31| 4622 | 31   | 54   | 580  | null | 32   | 9     |\n| 8    | 9    | 975  | null | 1253 | 14   | 14   | 8    | 2257 | 31   | 55   | 2024-12-30| 5355 | 60   | 25   | 535  | 22:33| 48    |\n| 61   | 6    | 7    | 829  | Tue  | 1734 | 11   | 38   | 6    | 1280 | null | 38   | 2024-12-29| 8677 | 92   | 57   | 412  | 23:51 |\n| 22:57| 40   | 2    | 4    | 955  | Wed  | 933  | 3    | 57   | 8    | 2035 | 43   | 54   | 2024-12-28| 5919 | 60   | 34   | 531   |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the mean of column exercise_minutes and column music_listening_minutes, only looking at the days where the coding minutes was greater than 20 and the weekday is Monday. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "1a597f25c7ce18b5acf6aa44ad81b437dc38b53b69934796c0592e6ced69c1cb",
    "id": "bbeh:buggy_tables:015",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 17012, 70, 83, 339, 21:20, 50, 4, 5, 394, Mon, 639, 8, 1, 3, 1428, 49, 42, -10, 2025-01-26, 3117, null, 44, 567, null, 80, null, 4, 234, Tue, 1480, 8, 15, 10, 1497, 11, 25, -1, 3, 2025-01-25, 14215, 74, null, null, 21:20, 76, null, 8, 176, null, 395, 13, 8, 1, 2558, 29, 35, -7, -8, 0, 2025-01-24, 8264, 57, 83, 526, 21:13, 98, 2, 1, 216, Thu, 1561, 9, 44, null, 2040, null, 53, -4, 6, 4, 10, 2025-01-23, 19506, 45, 97, 439, 21:31, null, 8, 7, 805, Fri, 524, 2, 59, 8, 2687, 13, null, -8, 4, -8, 4, -5, 2025-01-22, null, 37, 65, 564, 22:55, 29, null, 7, 532, Sat, 1796, null, 37, 1, 2428, 49, 40, 0, -1, 4, 3, 9, 8, 2025-01-21, 6246, 68, 47, 578, 21:21, 76, null, 3, 864, Sun, 1008, 8, 61, 8, 2388, 26, 22, -7, -2, 7, -8, -6, -9, 3, 2025-01-20, 8375, 86, 82, 457, 23:27, 47, 7, 9, 908, null, 737, 14, 7, 2, 1741, 29, 32, -10, -9, -5, -5, -2, 7, 9, -4, 2025-01-19, 15291, 75, 80, 356, 23:17, null, 2, 3, 357, Tue, 355, 3, 61, 1, 1374, 39, 50, 1, 4, -6, -7, 3, 3, 9, -2, 10, 2025-01-18, 18217, 57, 14, 512, 23:25, 21, 7, 5, 717, Wed, 1664, null, 51, 7, 521, 25, null, -7, -5, -8, -8, 0, -3, -4, 0, -3, -6, 2025-01-17, 16962, 66, 11, 590, 23:16, null, 3, 6, 870, Thu, null, 15, 36, 5, 855, 60, 59, 8, 3, -1, 0, -5, -3, -4, 10, 4, -3, -4, 2025-01-16, 9722, null, 36, 559, 21:25, 48, 5, 10, 859, null, 416, 3, 30, 9, 1002, 41, 54, 8, -4, 7, -4, -1, -6, -3, -9, -5, 4, -1, 8, 2025-01-15, 777, 43, 76, 391, 23:54, 94, 8, null, 587, Sat, 470, 7, 20, 5, 2289, 60, null, -2, 4, -10, -8, 6, -9, -7, -5, 1, 5, -6, 5, 6, 2025-01-14, 7239, 25, 14, 318, 23:16, 10, 2, null, 912, Sun, null, 1, 6, 2, 1487, null, 45, -1, -3, -6, 8, 0, 1, 4, -4, 5, 10, 3, 7, -4, 1, 2025-01-13, 12476, 86, 65, 471, 22:18, 78, null, 4, 755, Mon, 928, 9, 0, 8, 851, 57, 52, -1, -4, -5, 10, -8, 0, 7, 2, 8, -8, -9, -5, 2, 0, 10, 2025-01-12, null, 91, 99, 561, 23:14, 46, 8, 8, 194, Tue, null, 7, 12, 7, 2873, 28, 34, 3, 7, -4, -1, -3, -7, -7, -5, 10, -9, -5, 6, -1, 7, 7, -10, 2025-01-11, 11897, 57, 58, 537, null, null, 3, 9, 207, Wed, 301, 1, 38, 5, 2371, 38, 39, -5, -3, 6, -1, -1, 3, -2, -2, -1, 7, -7, -6, -2, 3, 10, 4, -10, 2025-01-10, 9182, 76, 42, 425, 23:54, 20, 10, 7, 751, Thu, 1469, 10, 45, 8, 1775, 50, 53, 8, 3, -8, 7, 1, -1, -3, -6, -1, -10, 5, 0, 10, -9, -3, 0, -2, 3, 2025-01-09, 15463, 82, 67, 390, null, 93, 1, 4, 900, Fri, 494, 11, 49, 4, 530, 19, 40, 9, 8, 9, 7, 3, -6, -8, -9, 3, 10, 3, -9, -7, 7, 8, -1, 2, 9, 3, 2025-01-08, 10907, 47, 25, 408, 21:48, 68, 8, 1, 857, Sat, 1843, 8, 16, 6, null, 48, 44, -3, -9, -4, 10, 7, 2, -5, 1, -3, -2, -10, 3, -10, -9, -9, 6, -8, 5, -2, 7, 2025-01-07, 7771, 47, 22, 489, 21:42, 51, 2, 10, 230, Sun, 1290, 11, 60, 5, 1397, 47, null, 1, 6, -9, 2, -4, -8, 2, 6, -2, -1, 9, 0, 5, 9, -10, 10, 4, 5, -3, -10, 10, 2025-01-06, 11357, 94, 72, 535, null, 59, 1, 9, 982, null, 1665, 6, 19, 9, 1038, 17, 24, 2, -1, 6, 5, 5, 8, 2, 0, -10, -10, -6, -8, -1, 2, -8, -3, 3, 2, -4, 7, -9, -5, 2025-01-05, 12571, 21, 41, 309, 22:16, 94, 5, null, 821, Tue, 1439, 5, 43, 3, 1033, 25, null, -6, -1, -2, -10, -2, 3, -7, 5, -4, 4, 10, 1, -10, 7, -5, -2, -4, 9, -5, -3, -6, 6, 9, 2025-01-04, null, 82, 69, 454, 21:49, 48, 9, 6, 638, Wed, 1650, 3, 40, 10, null, 60, null, -2, 8, -7, 3, -4, 1, 6, 3, 4, -2, -8, -8, -8, -4, 0, -8, 10, 4, 5, 0, 10, -8, -3, 5, 2025-01-03, 8181, 40, 57, 353, 22:46, 73, 4, 4, 879, Thu, null, 6, 57, 4, 621, 29, 31, -2, -4, -2, -7, 5, -10, -1, 6, -7, 1, 9, 10, 5, 2, 9, 8, 5, 1, -6, 7, -6, -9, -7, -7, -7, 2025-01-02, null, null, 23, 424, 23:58, 14, null, 2, 824, Fri, 476, 13, 1, 8, 2635, 14, 50, 9, 5, -5, 10, 9, 8, -8, 4, -4, -3, -8, 8, -2, 0, -9, -9, -1, 4, 5, 7, -5, 0, -10, -9, 7, 0, 2025-01-01, 13017, 50, 42, null, 23:43, 69, 4, null, 447, null, 697, 11, 0, 8, 1971, 55, 59, -10, -4, -1, 5, 0, -6, 1, 10, -2, 5, -7, 1, -9, -5, 5, 9, 3, 3, 7, 4, 10, 1, -3, 9, 4, 6, 5, 2024-12-31, 19567, 29, 60, 539, 22:11, 100, null, 9, 573, Sun, 1497, 8, 61, 7, 1749, 34, 45, -9, -1, 3, 2, -1, 10, -1, 2, -1, -3, -4, -9, 10, 3, 0, 7, -4, 5, 1, -4, 0, 0, 2, 0, 7, 2, 0, 4, 2024-12-30, null, 41, 54, 521, 21:43, 14, 8, 8, 514, null, 558, null, 61, 7, 1063, 49, 31, 9, -1, -10, 6, 3, 7, -3, -7, 8, 8, -5, 0, 8, 5, 3, -3, 0, 0, -7, -3, -8, 6, 5, 9, -2, -10, 5, 3, 8, 2024-12-29, 12752, 92, 54, 454, 22:58, 78, 2, 6, 626, Tue, null, 9, 38, 3, null, 52, 23, -3, -9, -5, 0, -5, 6, 8, 9, 8, 7, 3, -8, -7, -7, -9, -5, -6, -3, -3, -3, 0, 7, 9, -1, -7, 4, -7, 7, 7, 10, 2024-12-28, null, 38, 42, 416, 23:23, 38, 6, null, null, Wed, 1704, 15, 25, 9, 1934, 44, 51, -5, -9, 2, 7, 9, 0, 9, -9, 2, -1, 10, -10, -7, 0, 10, 4, 3, 2, -9, -9, 2, -3, -6, 0, -10, -3, 4, 5, 4, 5, -5, 2024-12-27, null, 12, 44, 369, 23:22, null, 7, null, 357, Thu, 414, 8, null, 5, 2206, 45, 19, 1, -1, -8, 3, 8, -3, 8, -9, 3, -10, 10, 9, -10, -5, -4, -5, 7, -8, -5, 7, -6, 3, -7, 10, 7, -7, -9, -1, 6, 9, -3, 1, 2024-12-26, 15607, 20, 91, 501, 21:10, 32, 6, 1, 229, Fri, 497, 1, 21, 10, 2518, 12, 44, -6, 4, 9, 1, -2, 5, -4, 0, -10, 6, -3, 5, -3, 7, -4, 9, 6, -5, 3, 10, 7, -6, 0, -5, -5, 8, -9, -6, 10, 2, 9, -10, -8, 2024-12-25, 1031, 30, 80, 599, 21:49, 77, 4, 1, 108, Sat, 1522, 8, 62, 10, 1974, 35, 36, 7, -8, -9, 2, -9, 4, 2, 9, 0, -4, 5, 8, -4, 1, 8, -2, -3, -6, -10, -10, 7, -3, 7, 9, 8, -10, -8, 5, -7, -1, 9, -7, -6, -3, 2024-12-24, 17845, 90, 34, 443, 22:26, 97, 4, 7, 749, Sun, 1360, 5, 41, 7, 634, 56, 48, 4, 7, -2, 3, -5, 5, -9, -9, -10, -1, -9, 3, -2, 3, 6, 6, 10, 7, -8, 5, 2, 3, -1, -10, 7, -5, 2, 0, 7, -3, 5, 6, 5, 1, 6].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the sum of column study_minutes and column phone_screen_time_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "b5bc374be7c92c4ad25772f2067ae31da099efc8190650e4b8866af752a5a929",
    "id": "bbeh:buggy_tables:017",
    "request": "I have a table with 35 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, 2024-12-27, 2024-12-26, 2024-12-25, num_steps, 8401, 5106, 19391, 13687, 9219, 6099, 1265, 8225, 8497, 11820, 15124, 2473, 12960, 1498, 16077, 19833, 16824, 6011, 11520, 1339, 19143, 9592, 11921, 10158, 3371, 17027, 13989, 2093, 7064, 5533, 19159, study_minutes, 30, 16, 51, 84, 70, 71, 29, 31, 16, 36, 36, 71, 96, 55, 37, 40, 65, 41, 74, 34, 27, 46, 25, 61, 87, 65, 13, 66, 91, 13, exercise_minutes, 70, 34, 25, 57, 43, 12, 85, 12, 55, 75, 24, 27, 95, 94, 43, 83, 64, 77, 56, 54, 66, 99, 49, 32, 34, 10, 72, 10, 98, sleep_minutes, 433, 477, 544, 322, 341, 465, 451, 558, 454, 519, 469, 428, 320, 593, 462, 359, 426, 418, 361, 553, 436, 389, 566, 557, 556, 352, 543, 318, 535, 358, bed_time, 21:41, 23:11, 22:48, 21:40, 21:15, 21:22, 22:12, 21:27, 22:27, 23:32, 21:56, 21:49, 21:43, 22:17, 22:24, 22:17, 21:18, 21:51, 23:28, 21:31, 23:24, 23:23, 22:14, 22:43, 21:47, 23:45, 21:26, 21:16, 21:36, num_messages, 40, 82, 80, 22, 71, 86, 11, 18, 93, 54, 46, 52, 49, 49, 11, 12, 17, 98, 42, 17, 66, 72, 76, 98, 79, 14, 85, 36, 66, 15, 77, num_emails, 5, 7, 6, 10, 4, 9, 9, 5, 9, 10, 5, 9, 6, 6, 2, 6, 10, 5, 6, 9, 4, 4, 10, 1, 8, 4, 7, 3, 1, 7, 4, 6, num_calls, 1, 7, 5, 2, 5, 6, 9, 1, 6, 1, 10, 1, 6, 7, 8, 9, 3, 10, 5, 6, 10, 5, 3, 6, 10, 8, 3, 2, 5, 7, calories_burned, 970, 511, 804, 428, 175, 872, 243, 338, 799, 378, 883, 101, 119, 779, 265, 286, 692, 321, 502, 147, 245, 687, 926, 720, 441, 276, 106, 848, 570, 531, 905, 599, weekday, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, calories_consumed, 691, 642, 567, 632, 1351, 1685, 581, 464, 1750, 529, 796, 1070, 1291, 1962, 1213, 895, 1923, 1806, 600, 1347, 1999, 502, 1895, 1886, 1036, 1138, 303, 1339, 749, num_meetings, 5, 4, 10, 13, 3, 13, 7, 10, 11, 1, 9, 4, 11, 5, 11, 4, 14, 2, 4, 1, 9, 2, 2, 7, 5, 9, 15, 15, 3, 2, 6, 13, coding_minutes, 0, 59, 10, 28, 7, 44, 4, 39, 7, 28, 53, 63, 54, 33, 12, 52, 55, 65, 54, 47, 38, 4, 33, 29, 63, 61, 22, 18, 7, num_tasks_completed, 2, 3, 6, 10, 10, 9, 9, 10, 2, 10, 1, 3, 2, 3, 9, 3, 6, 9, 8, 3, 6, 4, 10, 9, 1, 8, 3, 5, 5, 6, 8, water_intake_ml, 2468, 1687, 2828, 1692, 1072, 1384, 1185, 1189, 1108, 1709, 2717, 2670, 588, 2827, 512, 1100, 1812, 2528, 504, 2702, 1730, 1665, 1109, 2147, 924, 1810, 1470, 1890, 1027, 1029, 1080, 719, phone_screen_time_minutes, 56, 23, 47, 27, 49, 13, 50, 31, 17, 42, 20, 50, 14, 44, 41, 31, 20, 28, 42, 60, 25, 45, 36, 41, 52, 10, 29, 18, 12, 44, music_listening_minutes, 49, 43, 32, 30, 51, 51, 21, 24, 20, 13, 42, 23, 51, 18, 20, 30, 47, 25, 12, 24, 51, 14, 40, 13, 15, 17, 33, 34, 27].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(31, 11), (31, 8), (3, 4), (12, 10), (34, 16), (28, 3), (5, 13), (3, 13), (19, 3), (8, 15), (11, 14), (15, 2), (2, 14), (1, 12), (15, 5), (33, 17), (24, 17), (29, 7), (29, 10), (7, 16), (22, 4), (26, 17), (20, 10), (23, 6), (4, 5), (23, 12), (28, 11), (19, 2), (17, 17), (2, 4), (1, 2), (25, 9), (1, 8), (13, 16), (26, 13), (26, 16), (20, 6), (6, 7), (21, 5), (20, 3), (20, 9), (22, 6), (7, 15), (14, 2), (34, 5), (4, 1), (14, 11), (17, 1), (14, 8), (5, 11), (19, 1), (27, 14), (17, 13), (11, 3), (33, 3), (32, 13), (25, 8), (1, 10), (25, 17), (18, 5), (21, 4), (29, 11)]. Compute the absolute difference between the mean of column sleep_minutes and column phone_screen_time_minutes, only looking at the days where the coding minutes was greater than 20 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "b1f0c5dca8f0142af184bd11e2b55bf289847541d9dfb3deda382adc9ae9d675",
    "id": "bbeh:buggy_tables:021",
    "request": "I have a table with 33 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 2637, 84, 360, 21:28, 43, 9, 7, 270, 47, 2, 2311, 38, 25, 2025-01-26, 14848, 16, 20, 527, 23:19, 63, 2, 1, 886, Tue, 421, 5, 4, 1, 1637, 53, 15, 2025-01-25, 7929, 50, 35, 483, 22:47, 1, 822, Wed, 1081, 5, 1, 15, 31, 2025-01-24, 16223, 20, 12, 506, 22:28, 19, 9, 258, Thu, 870, 5, 17, 5, 2691, 38, 2025-01-23, 13682, 23, 45, 501, 23:45, 16, 10, 10, 410, Fri, 2, 5, 5, 1926, 21, 16, 2025-01-22, 19429, 60, 89, 589, 23:57, 17, 6, 6, 663, Sat, 1919, 5, 44, 9, 1093, 44, 41, 2025-01-21, 8205, 70, 562, 21:24, 27, 9, Sun, 889, 10, 0, 5, 2640, 45, 26, 2025-01-20, 11700, 80, 79, 398, 22:56, 25, 4, 4, 996, 1479, 5, 27, 1833, 33, 2025-01-19, 7338, 29, 46, 466, 23:57, 61, 2, 4, 665, Tue, 580, 14, 52, 4, 2711, 41, 38, 2025-01-18, 16523, 47, 363, 21:22, 51, 7, 591, Wed, 597, 11, 22, 679, 26, 2025-01-17, 2360, 23, 29, 336, 23:11, 67, 10, 7, 255, Thu, 8, 13, 9, 2354, 48, 15, 2025-01-16, 2518, 31, 34, 557, 22:58, 30, 4, 9, 277, Fri, 450, 2, 53, 1, 2978, 47, 54, 2025-01-15, 182, 23, 597, 23:27, 85, 9, 5, 399, Sat, 424, 12, 27, 3, 2238, 55, 12, 2025-01-14, 13862, 40, 68, 337, 23:43, 1, 10, 402, Sun, 1649, 4, 33, 10, 20, 21, 2025-01-13, 6025, 92, 22, 385, 23:12, 77, 1, 1, 248, 1047, 12, 37, 5, 2325, 25, 38, 2025-01-12, 1442, 18, 22, 528, 21:46, 36, 2, 1, 919, Tue, 731, 13, 6, 1286, 27, 38, 2025-01-11, 5930, 91, 56, 23:44, 30, 9, 7, 787, Wed, 901, 10, 5, 2, 619, 60, 24, 2025-01-10, 10588, 86, 36, 503, 22:30, 61, 7, 5, 338, Thu, 488, 11, 61, 1, 678, 15, 2025-01-09, 4938, 100, 455, 21:22, 25, 9, 4, Fri, 1577, 3, 58, 7, 59, 29, 2025-01-08, 7957, 56, 44, 459, 22:15, 93, 2, 5, Sat, 1583, 4, 9, 1505, 46, 52, 2025-01-07, 5588, 30, 99, 441, 88, 6, 5, 997, Sun, 1910, 7, 59, 9, 45, 2025-01-06, 4869, 21, 54, 326, 23:35, 45, 6, 5, 979, Mon, 819, 2, 63, 5, 1084, 31, 21, 2025-01-05, 11513, 12, 22, 399, 23:57, 14, 1, 4, Tue, 1930, 14, 36, 5, 24, 13, 2025-01-04, 9363, 15, 40, 364, 23:12, 10, 10, 2, 821, Wed, 1241, 15, 44, 663, 19, 31, 2025-01-03, 6214, 42, 20, 578, 22:51, 7, 2, 648, Thu, 1782, 39, 3, 788, 11, 2025-01-02, 14017, 97, 78, 335, 22:52, 73, 10, 3, 127, Fri, 2, 29, 6, 975, 28, 2025-01-01, 8928, 64, 517, 22:38, 63, 2, 1, 285, 7, 3, 656, 17, 31, 2024-12-31, 5474, 24, 22, 481, 21:14, 55, 4, 9, 323, Sun, 1649, 15, 20, 2, 50, 52, 2024-12-30, 82, 100, 319, 21:49, 100, 5, 8, 776, 1312, 6, 30, 5, 1889, 30, 31, 2024-12-29, 6773, 46, 35, 579, 31, 9, 168, Tue, 1856, 9, 3, 1, 878, 39, 17, 2024-12-28, 4629, 77, 35, 489, 22:55, 30, 4, 7, 120, Wed, 460, 2, 28, 3, 1077, 11, 45, 2024-12-27, 18642, 79, 489, 23:20, 10, 8, 740, Thu, 336, 2, 1755, 41, 53].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(3, 13), (19, 3), (27, 10), (19, 9), (32, 6), (28, 15), (32, 3), (19, 15), (1, 3), (11, 11), (24, 14), (26, 11), (1, 12), (7, 7), (29, 1), (16, 13), (29, 10), (18, 16), (20, 13), (26, 17), (23, 9), (14, 6), (21, 15), (4, 8), (3, 6), (23, 15), (4, 17), (3, 15), (30, 5), (10, 2), (14, 15), (8, 14), (10, 14), (1, 11), (25, 6), (25, 12), (32, 14), (15, 10), (7, 9), (21, 5), (20, 9), (21, 17), (17, 4), (27, 2), (3, 8), (5, 11), (27, 11), (30, 7), (27, 14), (8, 10), (8, 16), (10, 7), (32, 13), (13, 3), (10, 16), (7, 2), (1, 10), (25, 17)]. Compute the absolute difference between the median of column study_minutes and column exercise_minutes, only looking at the days where the exercise minutes was less than 50 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "f0324bc48ce9f2a95cc4c711b28d005ccd126ebed5abaaf28ebacce02287bc54",
    "id": "bbeh:buggy_tables:024",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 51   | 2025-01-27| 17880| 45   | 86   | null | 23:38| 57   | 7    | 1    | null | null | 1148 | 15   | null | 10   | 729  | 49    |\n| 31   | 55   | 2025-01-26| 10564| null | 78   | 519  | 22:24| 16   | 2    | 8    | 331  | Tue  | 1479 | 4    | null | 8    | 2372  |\n| 2175 | 10   | 35   | 2025-01-25| 14553| 42   | 25   | 423  | 21:45| 14   | 10   | 10   | 643  | Wed  | 539  | null | 15   | 3     |\n| 10   | 2971 | 54   | 38   | 2025-01-24| 18803| 66   | 52   | null | 22:36| null | 9    | 2    | 959  | Thu  | null | 14   | 57    |\n| 4    | 6    | 543  | 25   | 46   | 2025-01-23| 1317 | 94   | null | 461  | 22:53| 19   | 9    | 1    | 560  | Fri  | 819  | 11    |\n| 3    | 33   | 1    | 2486 | 15   | 41   | 2025-01-22| 7925 | 28   | 60   | 565  | null | 49   | 4    | 10   | 602  | Sat  | 570   |\n| 408  | 15   | 3    | 3    | null | 58   | 43   | 2025-01-21| 15809| 32   | 21   | 518  | 21:15| null | 1    | 10   | null | Sun   |\n| null | 1039 | 13   | 53   | null | 894  | 23   | 50   | 2025-01-20| 14593| 56   | 55   | 401  | null | 100  | 7    | 4    | 932   |\n| 605  | Tue  | 564  | null | 4    | null | 1137 | 23   | 39   | 2025-01-19| null | null | 68   | 378  | 21:45| 97   | 8    | null  |\n| null | 225  | Wed  | 1204 | 12   | 52   | 4    | 1776 | 25   | 33   | 2025-01-18| 8010 | 80   | 34   | 478  | 23:35| 12   | 2     |\n| 6    | 4    | 564  | Thu  | 1139 | 4    | 10   | 2    | 1892 | 20   | 17   | 2025-01-17| 13716| 24   | 90   | 452  | 22:56| null  |\n| 63   | 2    | 5    | 511  | Fri  | 1944 | 6    | 38   | 7    | 975  | 49   | 28   | 2025-01-16| null | 72   | 37   | 497  | 23:51 |\n| 23:44| 76   | 3    | 4    | 862  | Sat  | 497  | 4    | 28   | 3    | 1322 | 14   | 38   | 2025-01-15| 15890| 35   | 73   | 436   |\n| 553  | 23:49| 55   | 7    | 8    | 841  | Sun  | 1992 | 15   | 54   | null | 1514 | 50   | 48   | 2025-01-14| 8077 | 99   | null  |\n| 73   | 313  | 23:49| 56   | 10   | 2    | 514  | Mon  | 717  | 5    | 49   | 1    | 1011 | 42   | 31   | 2025-01-13| 12676| 21    |\n| 86   | 44   | 338  | 21:35| 70   | 1    | 2    | null | Tue  | 1733 | 1    | 45   | 1    | 657  | 59   | 16   | 2025-01-12| 194   |\n| null | 88   | 70   | null | null | 92   | 1    | null | 692  | Wed  | 553  | 10   | 11   | 3    | 1562 | null | 28   | 2025-01-11 |\n| 2025-01-10| 10085| 15   | 39   | 301  | 23:41| 90   | 1    | 9    | 509  | Thu  | 535  | 3    | 62   | 6    | 1354 | 10   | 20    |\n| 38   | 2025-01-09| null | 13   | 30   | 381  | 23:47| 55   | 10   | 8    | 791  | null | 770  | 3    | 32   | 10   | 2812 | 14    |\n| 33   | 45   | 2025-01-08| 10278| 74   | 29   | 418  | 23:22| 20   | 9    | 1    | 362  | Sat  | 906  | 5    | 57   | 4    | null  |\n| 2322 | 20   | null | 2025-01-07| 15378| 22   | 69   | 531  | 22:48| 43   | 8    | 8    | 639  | Sun  | null | 6    | null | 9     |\n| 2    | 1850 | 12   | 35   | 2025-01-06| 17232| 51   | 84   | 338  | 22:50| 61   | 3    | 4    | 452  | Mon  | 1012 | 7    | 21    |\n| 34   | 4    | 1032 | 16   | 59   | 2025-01-05| 6532 | 64   | 63   | 512  | 22:55| null | 1    | 9    | 986  | Tue  | 1896 | null  |\n| 14   | 11   | 9    | 783  | 49   | 60   | 2025-01-04| 15801| 98   | 58   | 407  | null | 87   | 7    | null | 541  | Wed  | 1712  |\n| 1770 | 12   | 1    | 7    | 1552 | 38   | 21   | 2025-01-03| 15095| 41   | 42   | 599  | 23:36| 81   | 8    | 6    | 248  | Thu   |\n| Fri  | 1339 | 3    | 27   | 1    | 2461 | 42   | 12   | 2025-01-02| 11636| null | 25   | 538  | 22:26| 42   | null | 9    | null  |\n| 786  | Sat  | 357  | 7    | 65   | 4    | 1679 | null | 54   | 2025-01-01| 19611| 73   | 64   | 355  | 22:13| 15   | 8    | 7     |\n| 10   | null | Sun  | 1227 | 15   | null | 8    | 854  | null | 43   | 2024-12-31| 15306| 29   | 51   | 452  | 22:48| 67   | 7     |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the sum of column music_listening_minutes and column exercise_minutes, only looking at the days where the number of calories burned was less than 800 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "f775759a506236a3604be25390071ae0db35025e116ba0c4a262713d31a8982d",
    "id": "bbeh:buggy_tables:025",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28   | 2025-01-27| 3603 | 25   | 82   | null | 22:19| null | 6    | 3    | 288  | null | 1399 | 13   | 46   | 7    | 3000 | 57    |\n| 36   | 12   | 2025-01-26| null | 85   | 80   | 454  | 21:29| 85   | 9    | 8    | 851  | Tue  | 1443 | 12   | 48   | 4    | 736   |\n| 680  | 16   | 46   | 2025-01-25| 18797| 88   | 72   | 564  | 23:16| 45   | 8    | 5    | 314  | Wed  | 1446 | 12   | 25   | 8     |\n| 5    | 1672 | 49   | 27   | 2025-01-24| 3503 | 100  | null | 319  | 23:51| 36   | 2    | 1    | 600  | Thu  | 1135 | null | 64    |\n| 34   | null | 1937 | 25   | 54   | 2025-01-23| 11596| 80   | 40   | null | 21:57| 58   | 9    | null | 535  | Fri  | 814  | 14    |\n| 3    | 21   | 10   | 1208 | 59   | 23   | 2025-01-22| 10938| 45   | 35   | 357  | 23:20| 93   | null | 5    | null | Sat  | 1576  |\n| 1161 | 15   | 24   | 10   | 993  | 49   | 47   | 2025-01-21| 4820 | 89   | 69   | 438  | 23:46| 80   | null | 9    | null | Sun   |\n| Mon  | 1288 | 8    | 61   | 6    | 1337 | 40   | 49   | 2025-01-20| 1265 | 82   | 81   | 369  | 22:35| 77   | 9    | 2    | 668   |\n| 814  | Tue  | 1598 | 10   | 13   | 6    | 2770 | 27   | 10   | 2025-01-19| 3313 | 42   | 94   | 545  | 21:27| 36   | 6    | 1     |\n| 2    | 536  | Wed  | 721  | 13   | 3    | 9    | 1861 | 27   | 23   | 2025-01-18| 13473| 71   | 32   | 370  | 21:40| 62   | 2     |\n| 5    | null | 638  | Thu  | 1104 | 13   | 23   | 3    | 1725 | 26   | 16   | 2025-01-17| null | 39   | 32   | 492  | 21:20| 36    |\n| 82   | 5    | null | 348  | null | 1022 | 4    | 44   | 1    | null | 31   | 43   | 2025-01-16| 949  | 83   | 51   | 494  | 23:58 |\n| 22:44| 20   | 9    | 2    | 642  | Sat  | null | 1    | 33   | 3    | 2328 | 41   | 52   | 2025-01-15| null | 49   | 49   | 496   |\n| 360  | 23:24| 43   | 10   | 1    | null | Sun  | 1027 | 4    | 28   | 10   | 547  | 11   | 32   | 2025-01-14| 18626| 52   | 40    |\n| 46   | 309  | 23:19| 84   | null | null | 938  | null | 440  | 6    | 30   | 4    | 1688 | 27   | 32   | 2025-01-13| 4787 | 78    |\n| 74   | 10   | 574  | 21:23| 23   | 9    | 9    | 461  | null | 1472 | 2    | 14   | 5    | 836  | 47   | 59   | 2025-01-12| 10622 |\n| 13791| 89   | 87   | 490  | 21:10| 81   | 2    | 7    | 388  | Wed  | 1938 | 13   | null | 7    | 2079 | 33   | 58   | 2025-01-11 |\n| 2025-01-10| null | 15   | 41   | 557  | 22:18| 44   | 5    | 5    | 669  | Thu  | 944  | 3    | 27   | 1    | 1451 | null | null  |\n| 36   | 2025-01-09| 6796 | 12   | 20   | 565  | null | 81   | null | null | 189  | Fri  | 1609 | 13   | 56   | null | 1354 | 57    |\n| 37   | 31   | 2025-01-08| 10706| 48   | 39   | 457  | 21:16| 27   | 6    | 4    | 863  | Sat  | 702  | 13   | 13   | 10   | 2947  |\n| 852  | 31   | 58   | 2025-01-07| 12654| 44   | 27   | 508  | 22:14| 54   | 7    | 10   | 757  | null | null | 13   | 44   | null  |\n| 6    | 1089 | 10   | 35   | 2025-01-06| 2652 | 95   | null | 448  | 23:11| 35   | null | 10   | 123  | null | 548  | 7    | 53    |\n| 45   | 5    | 1740 | 55   | 27   | 2025-01-05| 13674| null | 82   | 415  | 23:43| 53   | null | 3    | 925  | Tue  | 438  | 10    |\n| 9    | 1    | 7    | 1947 | 59   | 38   | 2025-01-04| 17437| 18   | 63   | 325  | 23:24| 19   | 10   | null | 449  | Wed  | 1393  |\n| 1705 | null | 37   | 4    | 1739 | 43   | 51   | 2025-01-03| 326  | 54   | 67   | null | 22:27| 84   | 1    | 9    | 831  | Thu   |\n| Fri  | null | 1    | 50   | 5    | 2603 | null | null | 2025-01-02| 8198 | null | 91   | null | 21:46| 56   | null | 6    | 575   |\n| 705  | Sat  | 980  | 10   | 47   | null | 1816 | 17   | 12   | 2025-01-01| 3848 | 84   | 14   | 495  | 22:57| 82   | 8    | 2     |\n| 9    | 971  | Sun  | null | 11   | 30   | 3    | 1199 | 31   | 16   | 2024-12-31| 14092| null | 42   | 477  | 22:16| 58   | 5     |\n| null | 9    | 982  | null | 1057 | 15   | 19   | 9    | 1556 | 50   | 45   | 2024-12-30| 12045| 39   | 94   | 560  | 22:42| 50    |\n| 13   | 9    | 2    | null | Tue  | 1797 | 13   | null | 6    | 904  | null | 12   | 2024-12-29| 18593| 11   | 59   | 357  | 22:11 |\n| 23:42| 98   | 6    | 7    | 651  | null | 1920 | 9    | 47   | 5    | 1161 | 24   | 49   | 2024-12-28| 6523 | 89   | 44   | 326   |\n| 316  | 23:54| 39   | 10   | 7    | 190  | Thu  | 948  | 10   | 64   | 2    | 605  | 49   | 11   | 2024-12-27| 18857| 99   | 40    |\n| 26   | 462  | 22:33| 59   | 4    | 3    | 543  | Fri  | 689  | 7    | 32   | 4    | null | 20   | 42   | 2024-12-26| 7451 | 55    |\n| null | 99   | 553  | 22:18| 85   | 6    | 9    | 820  | Sat  | 1043 | 9    | 35   | 10   | 2102 | 30   | 44   | 2024-12-25| 513   |\n| 3325 | 21   | 75   | 341  | 22:33| null | 3    | 5    | 608  | Sun  | 1088 | 11   | 9    | 4    | 934  | 32   | null | 2024-12-24 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the stdev of column sleep_minutes and column music_listening_minutes, only looking at the days where the number of meetings was greater than 2 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "af865aae7e8dd14896da42db2d199da3a8bbe648f67cbf6a4ba9fe77a39bac59",
    "id": "bbeh:buggy_tables:026",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 13779, 36, 77, 599, 23:12, 53, 9, 8, 545, Mon, 1098, 10, 14, 1, 519, 49, 38, -6, 2025-01-26, 12839, 46, 17, 405, null, 73, 4, 10, null, Tue, 775, 10, 1, 4, 1218, 14, 10, 6, -3, 2025-01-25, 11989, 52, null, 559, 21:17, 87, 7, 2, 969, Wed, 1520, 6, 17, 1, 1547, 51, 20, 4, 7, -2, 2025-01-24, 2410, 50, 13, null, 22:34, 22, 9, 8, 247, Thu, 1827, 3, null, 2, 1776, 24, 12, 5, 5, 10, -10, 2025-01-23, 1035, 76, 30, 555, 22:22, 36, 9, null, 798, Fri, 1143, 10, 27, 3, 500, 22, null, -4, -8, -1, -9, -10, 2025-01-22, 11647, 84, 57, 412, 23:38, 57, 2, 8, 382, Sat, 917, 15, 0, 8, 1181, 56, 36, 5, -10, 1, 7, 9, -9, 2025-01-21, 15257, 19, 35, 451, 21:32, 85, null, 3, 980, null, null, 12, 64, 7, 1806, 44, 43, 2, 4, -3, 2, 3, -4, -6, 2025-01-20, 10186, 99, 86, 483, 21:10, 15, 5, 9, 354, null, 1497, 3, 12, 2, null, 56, 14, 5, -10, -8, 8, -6, 5, -6, -10, 2025-01-19, 19094, null, 69, 333, 21:55, 57, 3, 6, 325, Tue, 713, 6, null, 2, 1805, 13, 38, -10, -5, 6, 1, 6, 0, -1, -3, -6, 2025-01-18, 19225, 24, 42, 534, null, 35, 5, 2, 744, Wed, 1949, null, 11, 3, 1392, 25, 35, -10, 1, 1, -2, -6, 5, -9, -8, -9, -3, 2025-01-17, 17022, 88, 72, 555, 23:17, 66, 8, 5, 181, Thu, 1369, 14, null, 8, 1804, null, 12, 0, -2, 5, 2, -7, 4, 10, -3, 6, -6, 9, 2025-01-16, 19952, 83, 41, 553, null, 40, 10, 6, 570, Fri, 418, 6, 50, 7, 961, 37, 39, -10, -2, 3, 2, 2, -1, 2, 3, 3, -1, 0, 0, 2025-01-15, null, 74, 35, 349, 23:12, 90, 7, 7, 882, Sat, null, 9, 3, 5, 2157, 12, 44, -6, 2, 1, -9, 3, 3, -4, -5, 7, -10, 3, 3, 0, 2025-01-14, 17129, 53, 77, 579, 22:46, null, 10, 7, 914, Sun, 462, 8, 63, null, 2483, 36, 51, 1, 3, 6, 9, -4, -3, -5, -6, -9, 9, 6, 1, -1, 5, 2025-01-13, null, 87, 78, 468, 21:18, 45, 7, 4, 644, null, 819, 10, 59, 5, 2315, 28, 42, 2, 7, -3, -8, -2, 0, 3, -10, -7, -5, -3, 6, 0, -2, -9, 2025-01-12, 1079, 11, 38, 548, 23:46, 58, 8, 4, 586, Tue, 779, 7, 5, 5, 1156, 44, 56, 0, -8, -4, 2, -4, 1, 6, 1, 10, 8, 8, -7, 3, -7, 5, 1, 2025-01-11, 18043, 34, 32, 315, 23:15, 57, 6, 4, 379, Wed, null, 1, 10, null, 731, 35, 38, -9, 3, -7, -2, -2, -9, -10, 7, -4, 1, 2, 6, -2, 5, -4, 10, -10, 2025-01-10, null, 28, 34, 521, 21:42, 94, 8, 8, null, Thu, null, 15, null, 7, 2130, 21, 19, 9, -9, 5, 4, 5, 5, -2, -5, -4, 10, -8, 1, 6, 4, 10, 8, -3, 5, 2025-01-09, 644, 93, 78, 330, 22:19, 55, 5, 4, 952, Fri, 693, 5, 55, 1, 881, 60, 50, 0, 10, 9, -10, -10, -10, -9, 0, -4, -4, 1, 3, 1, -8, -8, -2, -4, 0, 3, 2025-01-08, null, 62, 57, 362, 23:36, null, null, 5, null, Sat, null, null, null, 4, 617, 34, 32, 1, 8, -7, 7, 0, 2, -4, -1, 8, 4, -2, 10, -8, -5, -1, 1, -10, -1, 3, -6, 2025-01-07, 7785, 97, 69, 599, 22:55, 67, 2, 7, 119, Sun, null, 3, 61, 4, 2620, null, 35, 3, -10, 2, -1, -8, -3, -7, -8, -1, 7, -6, -4, -6, 7, 2, -1, -8, 4, 3, -9, -1, 2025-01-06, 4936, 93, 82, 400, 23:27, 46, 3, 2, 786, Mon, 1808, 14, 26, 3, 1021, 29, 42, 0, 7, -9, -3, -9, 6, 8, 8, 4, 2, 4, 3, -5, -2, -9, -4, 8, -5, -8, -4, 1, -6, 2025-01-05, 14592, 94, 95, 535, 21:11, 25, 6, 5, 734, Tue, 1662, 9, 57, null, null, 46, 56, 2, 7, 1, -6, -3, -10, -9, -1, 1, -8, 10, -2, -5, 1, -5, -7, -3, 0, -6, 3, -8, 9, -8, 2025-01-04, 188, null, 31, 411, 21:44, 24, 9, 10, 851, Wed, null, 9, 40, 9, 1349, 58, 48, -4, -10, 7, -10, 9, 0, 7, -8, -8, 8, -6, 3, 9, 8, 7, 2, 3, -4, 1, 0, -6, -3, -3, -7, 2025-01-03, 16074, 27, 50, 386, 21:14, 31, null, null, null, Thu, 1531, 14, 38, 10, 2561, 33, 57, 9, -8, 5, 2, -1, 4, 6, 1, -4, 0, 9, -9, 4, -6, -10, 9, 5, -10, 7, 9, 8, 2, -1, -4, 2, 2025-01-02, 1503, 29, null, 544, 21:12, 22, 4, 7, null, Fri, 1177, 3, 7, 9, 989, 11, 58, 4, 9, -4, -3, -2, 5, 7, 4, 8, -5, 7, -8, -3, 5, 4, 7, 2, -4, 2, 1, -10, 5, -6, 9, 6, 4, 2025-01-01, 8935, 72, null, 404, 21:39, 51, 2, 9, 184, Sat, 671, 8, 28, 2, 2052, 27, 45, -8, -4, 1, -6, 1, -5, -4, 4, 10, 6, 9, -7, 4, -8, 7, -7, 9, -9, 8, -4, -2, 0, -3, -9, -5, 1, 2, 2024-12-31, 8028, 79, 79, 521, 21:53, 30, 3, 1, null, Sun, 1276, 7, 13, null, null, 11, 46, 1, 8, -8, 10, 8, 2, -2, -10, 8, 2, -5, 3, -5, -10, 3, 1, 0, -2, 3, 2, 6, -5, 7, -2, -1, 6, 7, -2, 2024-12-30, 7388, 49, null, 302, 22:37, 36, null, 8, 816, null, 856, 11, 15, null, 799, 44, 16, 8, -8, 9, 1, -2, 7, -8, -8, 4, 9, 8, 2, -5, 10, 7, 10, 10, 9, -2, 2, 1, 3, 9, -7, -2, -4, 6, 10, 0, 2024-12-29, 4122, 88, 34, 436, null, 64, 2, 10, 562, Tue, 1256, 7, 1, 10, 776, 35, 51, -7, 8, -9, 5, -8, 1, 8, -4, -8, 2, -2, -5, -4, -7, 8, 0, -7, -2, 7, -1, 0, 7, -10, 0, 9, -5, -5, -3, -4, 7, 2024-12-28, null, 39, 26, 514, 23:17, 72, 8, 2, 387, Wed, 1624, 11, 18, 4, 1188, 34, 40, 2, 1, 2, 5, 10, -4, 9, 10, -8, -10, 3, -10, -1, 2, 7, -7, 0, 6, -1, 10, 2, 4, 4, -8, -7, -2, 10, 2, -4, -1, -6, 2024-12-27, 11885, 88, 21, 525, 22:35, 49, 6, 4, 410, Thu, 601, 11, 63, 4, 579, 21, 24, 10, 4, -9, 7, -7, -1, 0, -5, 9, 9, -9, -8, 4, 6, -3, 7, -1, -6, -10, -5, 5, 2, 0, 2, 5, -8, 2, -5, -9, -6, 0, 8, 2024-12-26, 16304, 45, null, 392, 22:18, 53, 10, 9, null, Fri, 1741, 15, 46, 4, 705, 12, 32, 9, -8, 8, -1, 3, 9, -1, -7, 3, -2, -9, -7, 4, 8, 4, 8, 8, 6, 6, 10, -2, 0, -4, 1, 4, 10, -4, 3, -8, -4, 2, 6, -2, 2024-12-25, 841, 88, 83, 399, 23:33, 85, 8, 9, 834, Sat, 1959, 10, 33, 2, 1527, 52, 59, -9, -6, 3, -10, 7, 0, 3, -9, 10, 10, -8, -8, -5, -2, -1, 2, -3, -7, -2, 0, 3, 10, -6, -1, 0, 7, 1, 10, 10, -10, 7, -9, -9, -4, 2024-12-24, 14375, 28, null, 327, null, 28, 6, 8, 849, Sun, 851, 10, 21, 10, 674, 51, 46, 2, 7, -1, 8, -4, -4, -8, -1, 4, 0, 5, -3, 3, -4, 4, 7, -5, 0, -8, 4, -5, 3, -10, 9, 6, -5, 7, 3, -3, -1, 6, -9, 2, -6, -3].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the stdev of column sleep_minutes and column music_listening_minutes, only looking at the days where the number of tasks completed was greater than 3 and the weekday is Monday. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "059a82d2ac98f0fb55e9f2de3ea62f6345859461faf161dbad71027fcc41cc95",
    "id": "bbeh:buggy_tables:030",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 14744 && null| 70 && 13| 77 && 71| null && 547| null && 23:32| 10 && 55| 2 && 6| null && 9| 284 && null| null && Tue| null && 1263| 6 && 14| 8 && 38| 8 && 7| 2103 && 1908| 33 && 47| 55 && 51 |\n| 2025-01-25 && 2025-01-24| 8394 && null| 82 && null| null && 76| 329 && 428| 22:39 && 22:27| 49 && 26| 8 && 1| 2 && 3| 515 && 247| Wed && Thu| 635 && 1951| 1 && 4| 48 && 34| 7 && 10| null && 1770| 30 && 38| 20 && 26 |\n| 2025-01-23 && 2025-01-22| 15651 && 19342| 92 && 88| 72 && 24| 427 && 427| 23:17 && 21:50| 34 && null| 3 && 8| 4 && 3| 569 && 759| Fri && Sat| 1316 && 386| 15 && 3| 14 && 40| 8 && 1| null && 575| 17 && 41| 32 && 26 |\n| 2025-01-21 && 2025-01-20| 4025 && 17165| 54 && 19| 13 && 27| 354 && 444| 22:46 && 22:43| 63 && 46| 1 && 9| 8 && 7| 287 && 198| Sun && Mon| 566 && 1486| null && 7| 33 && 30| 7 && null| 1695 && 1253| null && 54| 47 && 23 |\n| 2025-01-19 && 2025-01-18| 17951 && 10934| 14 && 18| 39 && 67| 343 && 549| 23:16 && 22:32| 85 && null| 6 && 1| null && 4| 578 && 724| Tue && Wed| 859 && 1462| 1 && 1| 15 && 31| 4 && 4| 1067 && 2290| 11 && 28| 60 && 45 |\n| 2025-01-17 && 2025-01-16| 17742 && null| 34 && 48| null && 23| 473 && 317| 21:17 && 21:55| 13 && 57| null && 8| 1 && 5| 909 && 848| null && Fri| 832 && 1288| null && 15| 2 && 61| 2 && 5| 629 && 1988| 36 && 47| 47 && 50 |\n| 2025-01-15 && 2025-01-14| null && 18764| 31 && 78| 49 && 11| 376 && 448| 22:15 && 23:28| 77 && 67| 5 && 3| 5 && 9| 616 && 783| Sat && Sun| 1476 && null| null && 1| 38 && 48| 5 && null| 1885 && 711| 19 && 10| 30 && 58 |\n| 2025-01-13 && 2025-01-12| 4995 && 2628| 59 && null| 78 && 75| 583 && 499| null && 23:22| 87 && 49| 3 && 10| 5 && 3| 511 && 248| null && null| 953 && 468| 14 && 12| 38 && 35| 3 && 5| 2455 && null| 37 && 58| 31 && 16 |\n| 2025-01-11 && 2025-01-10| null && 2142| 82 && null| 39 && 14| 449 && 478| 23:30 && 21:42| 78 && null| 10 && 10| 2 && 8| 713 && 265| Wed && Thu| 1422 && null| 4 && 2| 13 && 60| 4 && 10| null && 2645| 27 && 38| null && 24 |\n| 2025-01-09 && 2025-01-08| 3520 && 262| 96 && 13| 48 && 31| 390 && 363| 22:16 && 21:16| 69 && 94| 7 && 9| null && 1| 906 && 470| Fri && Sat| 1858 && 736| 3 && 11| 26 && null| 9 && 9| null && 2654| null && 50| 51 && 21 |\n| 2025-01-07 && 2025-01-06| 18017 && 17859| 32 && 10| 70 && 51| 492 && 542| null && 21:29| 73 && 24| 7 && 2| 1 && 8| 693 && 656| Sun && null| 1744 && 1000| 12 && 8| 23 && 24| 5 && 1| 1905 && 2882| 13 && 29| 39 && 16 |\n| 2025-01-05 && 2025-01-04| 2162 && 10537| 65 && 95| 43 && 75| 414 && 506| 23:17 && 21:21| 89 && 51| 1 && 1| 7 && 6| 183 && 505| Tue && Wed| 797 && 1515| 7 && 9| 48 && 33| 2 && 2| 734 && 2715| 32 && 35| 46 && 10 |\n| 2025-01-03 && 2025-01-02| 6002 && 7642| 90 && 62| 86 && 87| 491 && 584| 22:49 && 22:46| 13 && 21| 1 && 5| 10 && 3| 766 && 937| null && Fri| 1416 && 743| 10 && 1| 26 && 29| 3 && null| 2303 && 2395| null && 58| 54 && 43 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the median of column music_listening_minutes and column sleep_minutes, only looking at the days where the number of steps was less than 17000 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "a4565a05738ab9aff1c2e895a394f93889ee505d144c85ab6da706bf0b0558b0",
    "id": "bbeh:buggy_tables:031",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 18930 && null| 90 && 52| null && null| 576 && 597| 22:12 && 22:39| 61 && null| 5 && 5| 8 && 8| 746 && 272| null && Tue| 1124 && 1180| 4 && null| null && null| 10 && 9| 1733 && null| 54 && 19| 29 && 29 |\n| 2025-01-25 && 2025-01-24| 3911 && 19996| 42 && 11| 27 && 48| 488 && 317| 23:11 && 23:19| null && null| 6 && 10| 3 && 9| 382 && 535| Wed && Thu| 1166 && 1342| 7 && 3| 32 && 65| 4 && 9| 2836 && 1508| 24 && 10| null && 29 |\n| 2025-01-23 && 2025-01-22| 4660 && 12205| 61 && 81| 79 && 55| 411 && 358| 21:31 && 22:31| 64 && 33| 10 && 8| 2 && 5| 802 && 460| Fri && Sat| 1010 && 1966| null && 13| 50 && 62| 7 && 10| 582 && null| 36 && 10| 25 && null |\n| 2025-01-21 && 2025-01-20| 14245 && 3227| 31 && 84| 75 && 61| 546 && 434| null && 21:37| 91 && 84| 1 && 6| 9 && 1| 905 && 772| Sun && null| 1879 && 740| 15 && 1| 10 && 61| 4 && 9| 1051 && 2761| 60 && 17| 46 && 60 |\n| 2025-01-19 && 2025-01-18| 10030 && 8469| null && 68| 60 && 91| 302 && 330| null && 21:22| 62 && 86| 1 && 5| 2 && null| 305 && 297| Tue && Wed| 384 && 1432| 4 && 2| 28 && 64| 3 && 7| 2171 && 1691| 24 && 43| 55 && null |\n| 2025-01-17 && 2025-01-16| 3373 && 16583| 48 && 42| 53 && null| 489 && 327| 21:27 && 23:54| 11 && 60| 5 && 5| 7 && 10| 270 && 393| Thu && Fri| 1095 && 1858| 15 && 11| 39 && 13| null && 8| 2811 && null| 20 && 12| 18 && 25 |\n| 2025-01-15 && 2025-01-14| 12221 && null| 56 && 94| 51 && 70| 378 && 576| 21:36 && 21:58| 35 && 32| 2 && 5| 1 && 3| 547 && null| Sat && Sun| 1480 && null| 14 && 5| 18 && 55| null && 8| 1132 && 2330| 56 && 40| 31 && 32 |\n| 2025-01-13 && 2025-01-12| null && null| 93 && null| 14 && null| null && 599| 22:40 && null| 91 && 74| 9 && 8| 7 && 3| 557 && 306| Mon && null| 361 && 319| 6 && 2| 34 && 13| 10 && 2| 1145 && 2265| 16 && 42| 18 && 56 |\n| 2025-01-11 && 2025-01-10| 9222 && 8553| 65 && 40| 97 && 71| 367 && 468| 22:40 && 23:36| 95 && null| 3 && 8| 8 && 4| 406 && 201| Wed && Thu| 576 && 1639| 12 && 4| 21 && 35| 5 && 1| 2284 && 934| 10 && 28| 28 && 50 |\n| 2025-01-09 && 2025-01-08| 10625 && null| 100 && null| 56 && null| null && 304| 22:58 && 22:33| 90 && 22| 2 && 5| 1 && 7| 178 && 285| Fri && Sat| 681 && 1424| 13 && 11| 25 && 17| 10 && 1| 1146 && null| 45 && 18| 14 && 25 |\n| 2025-01-07 && 2025-01-06| 1135 && 19364| null && 43| 86 && 91| 322 && 343| 22:11 && 22:15| 15 && 26| 9 && 3| 5 && 6| null && 236| Sun && null| null && 1496| 5 && 5| 32 && 51| 2 && 9| 2633 && 640| 38 && 41| 18 && 54 |\n| 2025-01-05 && 2025-01-04| 15549 && 15650| null && 52| null && 85| 539 && 443| 23:51 && 22:16| 51 && 70| 9 && 4| 4 && 10| 422 && 359| Tue && Wed| 1528 && 319| 9 && null| 36 && 19| 5 && 1| 2180 && 2220| 48 && 52| 46 && 12 |\n| 2025-01-03 && 2025-01-02| 17258 && 2203| null && 55| 92 && 24| 425 && 443| 23:48 && 23:17| null && 15| 3 && 6| 6 && 10| 728 && 174| Thu && Fri| 679 && 320| null && 6| 53 && 42| 7 && 8| 1099 && 2471| 15 && 43| 58 && 30 |\n| 2025-01-01 && 2024-12-31| 12753 && 12258| 34 && 15| 84 && 15| 529 && 549| 22:31 && 23:10| 57 && 23| 9 && 1| 8 && 10| 202 && 405| Sat && Sun| 1911 && 1007| 4 && 8| 58 && 56| 9 && 10| 1892 && 904| 47 && 42| 51 && 51 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the stdev of column exercise_minutes and column coding_minutes, only looking at the days where the number of messages was greater than 5 and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "66714eaf60b15b580616e4d8e7681ee6d286178cb4b63a8ff3cc34e9881196f6",
    "id": "bbeh:buggy_tables:032",
    "request": "I have a table with 35 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 49   | 2025-01-27| 11985| 26   | 28   | 595  | 23:38| null | 2    | 2    | 465  | Mon  | 379  | 10   | null | 10   | 1387 | 24    |\n| 14   | 19   | 2025-01-26| 10946| 54   | 46   | 513  | 21:55| 17   | 6    | 3    | 326  | Tue  | null | 9    | 60   | 4    | 2080  |\n| 2247 | 43   | 16   | 2025-01-25| 12398| 80   | 38   | 361  | 23:51| 33   | 3    | 9    | 601  | Wed  | 1803 | null | 1    | 5     |\n| 4    | 2139 | 43   | 27   | 2025-01-24| 16146| 42   | 66   | 361  | 21:13| 85   | 1    | 3    | 949  | Thu  | 984  | 7    | 1     |\n| 19   | 8    | 951  | 43   | 24   | 2025-01-23| 5291 | 67   | 57   | 528  | null | null | 10   | 5    | 237  | Fri  | 408  | 7     |\n| 11   | 6    | 7    | 1684 | 49   | null | 2025-01-22| 4012 | null | 17   | 415  | 22:39| 76   | 6    | 10   | 658  | Sat  | 700   |\n| 1459 | 6    | 26   | 1    | 596  | null | 46   | 2025-01-21| 12672| 21   | 94   | 531  | 21:15| 68   | 5    | 2    | 199  | Sun   |\n| null | 857  | 1    | null | 6    | 694  | 56   | 30   | 2025-01-20| 13534| 92   | null | null | 22:17| 41   | 4    | 3    | 198   |\n| 240  | Tue  | 1741 | 11   | 3    | 6    | 970  | 33   | 19   | 2025-01-19| 15596| 50   | 83   | null | 21:57| 89   | null | 3     |\n| 1    | 474  | null | 1165 | null | 14   | 4    | 636  | 44   | 23   | 2025-01-18| null | 19   | 20   | 369  | 21:22| 91   | 2     |\n| 4    | 1    | 482  | Thu  | 901  | 7    | 31   | 3    | 2622 | 38   | 54   | 2025-01-17| 1014 | 66   | 37   | 453  | 23:27| 75    |\n| 86   | 6    | 5    | 719  | Fri  | 639  | 7    | 41   | 9    | 1518 | 44   | 21   | 2025-01-16| 4528 | null | 22   | 351  | 22:42 |\n| 23:28| 71   | 2    | 7    | null | Sat  | null | null | 30   | 5    | 547  | null | 51   | 2025-01-15| null | 24   | null | 415   |\n| 414  | 23:55| 78   | null | 8    | 388  | Sun  | 1534 | 5    | 18   | 8    | 1005 | 53   | 57   | 2025-01-14| 5535 | null | 53    |\n| 53   | null | null | 32   | 6    | 3    | 107  | null | 1419 | 2    | 38   | 8    | 2004 | 53   | 47   | 2025-01-13| 16688| 45    |\n| 96   | 22   | 376  | 22:41| 18   | 3    | 5    | 410  | Tue  | 1026 | 6    | null | 3    | null | 57   | 47   | 2025-01-12| null  |\n| 10855| 28   | 26   | 560  | 22:59| 77   | 7    | 9    | 572  | Wed  | 1228 | 13   | 18   | 8    | 2004 | 43   | 47   | 2025-01-11 |\n| 2025-01-10| 12964| 51   | null | 525  | 21:37| 82   | 4    | 8    | 135  | Thu  | 382  | 8    | null | 10   | null | 29   | 27    |\n| 30   | 2025-01-09| 1133 | 54   | 30   | 395  | 21:44| 32   | 8    | 7    | 942  | Fri  | 390  | 7    | null | null | 2873 | 43    |\n| 26   | 20   | 2025-01-08| null | 46   | 71   | 373  | 22:57| 35   | 7    | 3    | 143  | null | 1580 | 5    | 30   | 1    | null  |\n| 2398 | 38   | 57   | 2025-01-07| 1272 | null | 55   | 450  | 22:33| 35   | 6    | 8    | 348  | Sun  | 1699 | 3    | 54   | 10    |\n| 3    | 2051 | null | 10   | 2025-01-06| 4403 | 41   | 32   | 441  | 23:41| 96   | 9    | 4    | 553  | null | 1334 | 6    | 6     |\n| 57   | 5    | 1742 | 26   | 53   | 2025-01-05| 17491| 33   | 18   | 318  | 23:36| 56   | 9    | 6    | 498  | Tue  | 1030 | 14    |\n| 5    | 15   | 5    | 1808 | 60   | 32   | 2025-01-04| 2712 | 54   | 100  | 361  | 22:40| 57   | 9    | 10   | 787  | Wed  | 354   |\n| 899  | 15   | null | 5    | 2546 | 45   | null | 2025-01-03| 8549 | 56   | 45   | 517  | 22:26| 77   | 6    | null | 556  | null  |\n| Fri  | 1119 | 6    | 36   | 7    | 1313 | 43   | 31   | 2025-01-02| 16769| 83   | 78   | 448  | null | 57   | 7    | 8    | 497   |\n| 961  | Sat  | 940  | 5    | 26   | 9    | 1954 | 27   | 30   | 2025-01-01| null | 57   | null | 467  | 23:53| 40   | null | null  |\n| 6    | 267  | Sun  | 762  | 13   | 6    | 2    | 1154 | 26   | 43   | 2024-12-31| 14967| 70   | null | 329  | 22:58| 36   | 4     |\n| 5    | 5    | null | null | 863  | 9    | 51   | 3    | 2464 | null | 45   | 2024-12-30| 13905| 64   | 62   | 511  | 22:57| 50    |\n| 39   | 6    | 10   | 172  | null | 1292 | 5    | 43   | 9    | 1816 | 59   | 37   | 2024-12-29| null | 37   | 71   | 506  | 23:28 |\n| null | 31   | 3    | 5    | 367  | Wed  | 1097 | 6    | 57   | 10   | 2387 | 25   | 22   | 2024-12-28| 8578 | 39   | 97   | 401   |\n| 436  | 21:26| 25   | 2    | 9    | 858  | Thu  | 1476 | 11   | 55   | 3    | 1371 | 17   | 52   | 2024-12-27| 19726| 65   | 78    |\n| 18   | 490  | 23:20| 84   | 6    | 3    | 261  | Fri  | null | 1    | 13   | 10   | 2100 | 42   | 60   | 2024-12-26| 5216 | 38    |\n| 92   | 49   | 534  | 22:28| 30   | 7    | 7    | 902  | Sat  | 672  | 1    | 3    | 5    | 1615 | 45   | 50   | 2024-12-25| null  |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the median of column sleep_minutes and column study_minutes, only looking at the days where the study minutes was greater than 20 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "e2f3673ee0468e8869e1d5fd2ef2fe17a614fad7941d5426c525903798300c8e",
    "id": "bbeh:buggy_tables:034",
    "request": "I have a table with 34 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, 2024-12-27, 2024-12-26, num_steps, 17486, 13655, 1308, 10887, 4775, 18455, null, 15229, null, 12733, 492, 9680, 7761, 3108, 2519, 3091, 12936, 8907, 16002, 9691, 9718, 10659, 7782, 17952, 374, 3011, 11181, 17960, 9945, 2535, 6953, 17175, 1232, -1, study_minutes, 81, 37, 26, 69, null, 77, 51, 39, 42, 46, 65, 26, 73, 84, 70, 100, 91, 81, 65, 62, 84, 11, 38, 93, 62, 33, 24, 84, 19, 79, 72, 54, 68, 6, -1, exercise_minutes, 84, 30, 18, 89, 58, 64, 16, 73, 69, 58, 53, null, null, 85, null, 20, 41, 26, 67, 98, 32, 50, 66, 95, 27, 41, null, 56, 86, 73, 59, 71, 67, 8, 3, 3, sleep_minutes, 504, 318, 496, 375, 340, 436, 588, 418, 401, 346, null, 341, 483, null, 569, 339, 479, 362, 514, 421, null, 396, 573, 431, 315, 539, 506, 412, 593, 550, 384, 348, 506, 4, 7, -6, 4, bed_time, 21:41, 23:40, null, 23:27, 21:58, 22:17, 23:28, 21:13, 22:44, 21:59, null, 21:23, 22:30, 23:29, 22:19, 21:59, 23:29, 21:10, 23:50, 21:59, 21:52, 21:42, 22:31, 23:39, 21:12, 22:13, 22:40, 22:34, 21:27, 21:14, 21:29, 22:36, 21:58, 0, -3, -7, -2, -3, num_messages, 13, null, 79, 54, 35, 20, 36, 17, 55, 87, 31, 33, 93, 18, 84, 43, 62, 25, 22, 39, 72, 39, 50, 32, 11, 14, null, 11, 48, 72, 68, null, 73, -10, -7, 9, 4, -8, -4, num_emails, 9, 7, 8, null, 6, 7, null, 7, 8, 2, 10, 4, 9, 6, 7, 6, 7, 6, 10, 6, 9, 9, 7, 4, 5, 6, 1, null, 8, 7, 7, 10, 3, -5, -6, 6, 5, 10, -10, -8, num_calls, 1, 9, 2, 2, 4, 8, 3, 7, 8, 2, null, 3, 4, 5, 10, 8, 2, 9, 9, 6, 5, 5, 2, 2, 9, 1, 1, 3, 8, 3, 6, 4, 7, 1, -3, -1, 2, -10, 4, 1, 10, calories_burned, 854, 145, 837, null, 806, 532, null, 471, 285, 633, 406, 574, 302, 119, 966, 987, 957, 555, null, 644, 278, 594, 318, null, 727, 179, 516, 870, 618, 631, 578, 166, 904, 8, -6, 9, -2, -3, 7, -5, 2, -10, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, null, Fri, Sat, Sun, Mon, null, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, 4, 10, 5, -10, 2, 3, 2, -6, -5, -8, calories_consumed, 1498, null, 1683, null, 1978, 1511, 1381, 970, null, 1933, 1623, 568, 1532, null, 964, 407, null, 1124, 1749, 1746, 1913, 1279, 710, 1425, 1649, 1127, 1861, null, 1328, 1531, 981, 1892, 1904, 9, 2, 7, -2, 2, 7, 5, 2, 10, 8, -4, num_meetings, 14, null, 7, 2, 7, 3, null, 12, 9, 6, null, 11, 12, 15, 1, 9, 8, 2, 11, 1, 3, 3, 8, 12, 9, 6, 4, 3, 14, 6, 14, null, 1, 2, -2, -2, 10, -8, -5, -7, -6, 9, -6, 10, 3, coding_minutes, 58, 55, 52, null, 42, 4, 46, 11, 5, 42, 57, 63, 44, 19, 45, 53, 53, 25, 3, null, 22, 24, 37, 19, 23, 6, 10, 53, 54, null, 38, 25, 23, 8, -5, 4, -5, 6, -1, -4, -3, 4, 8, 0, 3, 5, num_tasks_completed, 4, 9, 1, 2, null, 8, 2, 1, 5, null, null, 2, 7, 10, null, 1, 1, null, 7, 6, 5, 9, 4, 2, 8, 1, 10, 2, 6, 8, 2, null, 10, 1, 4, 2, -1, -2, 3, 6, 1, 8, 6, -8, -2, -3, 10, water_intake_ml, 763, 2238, 2453, 1659, 2451, null, 832, 2186, null, 1550, 943, 2648, 2621, 2448, 1610, null, null, null, 2285, 620, 930, 2728, 2930, 1050, 2617, 2203, 1187, null, 1773, 1846, 1804, 1435, null, -2, -6, -6, -3, 2, -10, 8, -9, 0, 10, -6, 1, 1, -1, 0, phone_screen_time_minutes, 52, 34, 52, 37, 17, 48, 53, 40, 39, 13, null, 18, 13, null, 24, 44, 25, 46, 59, 60, 56, null, 19, 37, 37, 29, 54, 13, 36, 24, 39, 58, 48, -7, -6, -4, 6, -1, 0, -5, 6, -7, 0, 1, -3, -10, -9, 9, -5, music_listening_minutes, 28, 10, 44, 47, 11, 16, 38, 58, 51, null, 39, 38, 18, 17, 60, 35, null, 19, 39, 40, 56, 54, 37, null, 29, 11, 51, 36, 60, null, 36, 49, 22, 10, 6, -9, -3, -4, 2, -9, -9, 7, 9, -1, 2, -6, -1, 3, -4, 4].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the median of column music_listening_minutes and column phone_screen_time_minutes, only looking at the days where the study minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "97d2e2db0a32870cc567b90665f01f2175a43ba3a967ee6892f15ec8fc4c1a52",
    "id": "bbeh:buggy_tables:058",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, num_steps, 5728, 3867, 17874, 3364, 7999, 17613, 6747, 2649, 4872, 19335, 8314, 958, 424, 18317, 1361, 16140, 1628, 10478, 6541, 10827, 4719, 7380, 8483, 17085, study_minutes, 26, 38, 100, 36, 56, 45, 56, 54, 75, 21, 32, 23, 43, 92, 43, 26, 43, 66, 17, 16, 36, 63, 74, exercise_minutes, 17, 20, 12, 60, 10, 38, 83, 42, 95, 11, 70, 46, 23, 85, 36, 72, 92, 43, 54, 63, 72, 42, 92, sleep_minutes, 522, 599, 448, 516, 461, 365, 521, 351, 539, 338, 312, 455, 572, 310, 352, 361, 320, 343, 553, 362, 358, bed_time, 22:35, 23:52, 22:11, 23:46, 23:23, 23:13, 21:32, 21:56, 22:35, 23:47, 21:41, 23:51, 23:58, 23:51, 21:12, 23:36, 22:15, 21:20, 22:31, 21:57, 23:28, 23:41, 22:51, 23:38, num_messages, 82, 87, 23, 46, 19, 85, 76, 51, 100, 10, 46, 99, 23, 40, 13, 37, 56, 51, 31, 47, 82, 28, 95, num_emails, 1, 7, 7, 5, 10, 1, 8, 7, 6, 3, 8, 2, 1, 9, 9, 1, 10, 10, 10, 8, 10, 1, 2, 7, num_calls, 4, 1, 10, 9, 7, 1, 10, 2, 2, 9, 5, 1, 3, 10, 6, 7, 4, 1, 2, 9, 10, 8, 10, 5, calories_burned, 691, 843, 214, 175, 927, 160, 471, 652, 227, 317, 637, 224, 148, 836, 245, 301, 142, 557, 408, 587, 108, 562, 740, weekday, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, calories_consumed, 950, 1409, 465, 1778, 1026, 1098, 1239, 746, 1260, 443, 1738, 1422, 616, 1801, 1978, 1238, 868, 976, 632, 1172, 462, 909, 486, 1426, 338, num_meetings, 10, 8, 5, 4, 11, 4, 14, 12, 13, 5, 12, 14, 11, 13, 14, 13, 2, 15, 8, 10, 9, coding_minutes, 33, 17, 19, 34, 40, 36, 16, 18, 7, 12, 62, 4, 8, 15, 60, 64, 14, 40, 11, 18, 48, 41, 12, 22, 55, num_tasks_completed, 10, 5, 3, 7, 2, 2, 5, 5, 8, 10, 1, 4, 7, 6, 4, 1, 9, 6, 4, 8, 6, 7, water_intake_ml, 1992, 2574, 510, 721, 1499, 1430, 1804, 949, 2097, 1932, 2911, 1383, 1002, 1422, 2613, 2551, 1287, 1396, 695, 1634, 797, 2264, 1460, 1192, 612, phone_screen_time_minutes, 36, 47, 26, 41, 55, 45, 58, 19, 28, 57, 56, 20, 17, 53, 35, 39, 52, 37, 27, 57, 19, music_listening_minutes, 13, 50, 12, 13, 32, 40, 42, 43, 10, 14, 45, 57, 58, 13, 16, 32, 36, 41, 16, 44, 39, 51, 38, 23, 20].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(22, 8), (21, 16), (14, 4), (23, 13), (14, 10), (19, 6), (8, 3), (17, 12), (9, 14), (25, 1), (2, 5), (10, 12), (16, 4), (11, 11), (25, 7), (1, 12), (18, 1), (26, 8), (26, 14), (21, 3), (17, 2), (8, 2), (11, 4), (2, 4), (24, 4), (25, 9), (10, 14), (2, 10), (24, 16), (16, 6), (15, 10), (26, 16), (7, 6), (7, 12), (7, 15), (14, 2), (14, 5), (4, 16), (12, 17), (14, 14), (9, 3), (11, 9), (19, 16), (1, 7), (1, 10), (26, 9), (26, 12)]. Compute the absolute difference between the sum of column phone_screen_time_minutes and column sleep_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "5bd1a78323aab664622c09e108afcb55760b3a3c07a1d9d6656fb687232a4321",
    "id": "bbeh:buggy_tables:066",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, num_steps, 8247, 6304, 19261, 4350, 14096, 7967, 1493, 5918, 16818, 9539, 11226, 3208, 19779, 1044, 5006, 16405, 8922, 1691, 11433, 15795, 17054, 6781, 13008, study_minutes, 10, 32, 25, 35, 29, 70, 86, 71, 87, 90, 42, 16, 71, 78, 91, 65, 56, 32, 34, 45, 85, 93, 85, 83, 74, exercise_minutes, 13, 46, 95, 87, 49, 25, 54, 76, 73, 35, 26, 54, 52, 21, 63, 36, 72, 41, 37, 12, 93, 62, sleep_minutes, 562, 324, 510, 515, 436, 302, 333, 416, 514, 331, 337, 414, 380, 448, 454, 443, 450, 352, 383, 342, 368, 563, 464, bed_time, 21:50, 21:23, 21:10, 23:13, 21:43, 22:40, 23:37, 22:34, 21:41, 22:37, 23:13, 21:51, 21:42, 22:12, 21:14, 23:35, 22:30, 21:20, 22:12, 22:53, 21:29, 21:57, 21:56, 21:26, 22:35, 23:36, num_messages, 86, 82, 81, 95, 10, 87, 96, 71, 44, 56, 76, 67, 95, 72, 45, 19, 48, 78, 23, 11, 22, 67, 85, 41, 70, num_emails, 1, 7, 3, 10, 8, 1, 8, 6, 5, 2, 7, 2, 7, 7, 4, 8, 7, 4, 3, 7, 5, 4, num_calls, 2, 8, 8, 9, 5, 9, 9, 1, 8, 3, 2, 2, 1, 5, 5, 9, 9, 1, 6, 9, 7, 3, 8, 2, 7, calories_burned, 496, 909, 203, 579, 230, 316, 867, 429, 458, 623, 114, 218, 632, 744, 606, 451, 170, 254, 581, 120, 796, 716, 510, weekday, Mon, Tue, Thu, Fri, Sat, Mon, Tue, Wed, Thu, Fri, Sat, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, calories_consumed, 829, 626, 1225, 1948, 1588, 464, 1790, 939, 542, 641, 1242, 1779, 1809, 703, 727, 1069, 895, 1009, 1462, 840, 1942, 1224, num_meetings, 4, 2, 7, 3, 9, 12, 8, 8, 10, 3, 3, 3, 8, 15, 6, 1, 15, 7, 3, 1, 3, coding_minutes, 45, 5, 1, 30, 51, 37, 16, 56, 51, 35, 11, 33, 5, 46, 8, 55, 51, 65, 55, 21, 37, 48, 63, num_tasks_completed, 4, 9, 1, 3, 2, 2, 9, 1, 9, 8, 3, 6, 2, 10, 3, 3, 7, 6, 3, 6, 4, 10, 7, 7, 7, water_intake_ml, 521, 2473, 1497, 2238, 615, 1890, 1177, 1144, 2472, 2954, 2647, 640, 2110, 553, 728, 532, 998, 1642, 1581, 1512, 1979, 911, phone_screen_time_minutes, 53, 27, 45, 37, 20, 53, 28, 13, 14, 44, 33, 34, 45, 17, 29, 19, 12, 23, 36, 30, 27, 16, 59, 18, music_listening_minutes, 37, 47, 44, 30, 43, 31, 51, 32, 27, 47, 57, 42, 35, 49, 44, 26, 13, 17, 39, 11, 33, 55, 24].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(21, 16), (3, 4), (14, 4), (23, 7), (23, 16), (20, 17), (23, 13), (3, 10), (14, 10), (8, 9), (10, 6), (2, 2), (2, 11), (16, 1), (2, 14), (16, 10), (18, 7), (7, 10), (12, 3), (22, 7), (12, 15), (5, 3), (19, 11), (10, 11), (25, 12), (10, 17), (15, 13), (16, 12), (18, 9), (7, 9), (15, 10), (16, 15), (20, 3), (20, 15), (22, 12), (21, 1), (4, 13), (9, 3), (3, 17), (15, 12), (10, 1), (10, 7), (7, 11), (2, 12), (2, 15), (21, 4), (18, 8)]. Compute the absolute difference between the sum of column exercise_minutes and column sleep_minutes, only looking at the days where the number of messages was greater than 5 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "04c7e7dfc544430b49081507b43253d5019a324c33f8f6fbf38f35535db722a8",
    "id": "bbeh:buggy_tables:070",
    "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, null, null, 6112, 7112, 12941, 5693, null, 6223, 5549, 12054, 9201, 1157, 11888, 14818, 1125, 18636, 11126, 17156, 6867, 688, null, 4861, 9623, 14475, 17981, -3, study_minutes, 17, 75, 10, null, 97, 46, 49, 28, 71, 17, 76, null, 78, 72, 99, 75, 70, 56, 50, 31, 97, 66, 24, 59, 77, 1, 5, exercise_minutes, 34, 92, 36, 60, 87, 99, 18, 36, 19, 20, 50, 75, 93, 50, 59, null, 100, 53, 79, 38, 62, 86, 45, 13, 61, -3, 4, -9, sleep_minutes, 344, null, 435, 435, 461, 445, 452, 439, 499, 461, 557, 506, 460, 366, 586, 404, 365, 345, 447, 404, 370, 326, 361, 503, 385, -7, -7, -8, 7, bed_time, null, 22:39, 22:23, 21:24, 21:45, 21:25, 21:40, 21:14, 22:35, 21:30, 23:42, 21:29, 23:15, 22:55, 23:40, 21:27, 22:57, 23:29, 22:32, 23:20, 23:31, 22:53, 22:17, 23:42, null, 0, -3, 9, 2, -8, num_messages, null, 43, 42, 24, 99, 76, 48, 22, 41, 24, 53, 62, null, 35, 92, 68, 19, 84, 32, 43, 59, 95, 45, 39, 14, 3, -1, -3, -10, 10, -8, num_emails, 4, 8, 2, null, null, 8, 6, 10, 6, 6, 7, 2, 10, 5, 1, 1, 2, 1, 6, 2, 9, 6, 10, 4, 8, -7, 0, -8, 1, 1, 0, -8, num_calls, 10, 8, 1, 6, null, null, 3, 4, 2, 10, 5, 7, 3, 3, 9, 9, 10, 3, 7, 10, null, 4, 4, 1, 7, -7, -6, 10, -6, 10, 8, -6, -5, calories_burned, 231, 371, 722, 284, 661, 291, 606, 326, 123, 783, null, 660, 911, 757, 474, 654, 260, null, 295, 255, 360, 618, 576, 363, 480, 2, 2, 6, 4, 4, -10, 9, 10, 10, weekday, null, null, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, null, Sat, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, -4, 4, -9, -9, -7, 4, -5, 0, -7, -3, calories_consumed, 1778, 1888, null, 479, 567, 919, 326, 1726, 1062, null, 1789, 1959, 1449, 1908, 1853, 640, 1587, 731, 1600, 488, 1714, 1263, null, 871, 1606, 8, 8, 0, -8, -7, -6, -2, 3, -3, 5, -9, num_meetings, 10, 12, 10, 10, 11, 15, 2, 8, 10, 8, 15, 15, 5, 15, null, 7, 12, 6, 8, 8, 15, 10, 6, 3, 10, 5, -3, -10, 9, 1, 4, 1, 10, 3, 0, 7, -6, coding_minutes, 21, 36, 28, 43, 36, null, 14, 49, 30, 53, 19, 65, 26, 56, 45, null, 26, 53, 2, 8, 39, 7, 39, 22, null, 5, 10, 6, -6, -4, 10, -6, 5, 1, 8, 2, 5, -10, num_tasks_completed, 6, 1, 8, 3, 3, 1, 4, 5, 6, null, 1, 8, 2, 7, 6, 10, null, 4, 1, 10, 8, 8, 7, null, 10, -7, 7, -10, -3, -9, 5, -1, 1, 9, -10, -5, -2, 2, 4, water_intake_ml, 669, 1433, 2217, 1566, 734, 620, 2594, 1194, 2050, 545, 541, 2376, 659, 825, 1869, 773, 1224, null, 2220, 1231, 754, 2008, null, null, 2994, 10, 0, -2, 9, -8, -2, 8, -3, 9, 4, -5, -3, -4, -5, -10, phone_screen_time_minutes, 40, 54, 31, 46, 52, 48, 56, 28, 32, 11, null, 37, 27, 10, null, 43, 49, 37, 31, null, 57, 42, 17, 37, 60, -8, -1, 1, 7, -1, -1, -6, 8, 1, -3, -2, -9, -5, -3, 4, 2, music_listening_minutes, 52, 58, 15, 52, 37, 10, 24, 24, 58, 49, 32, 41, 35, 12, 27, 41, 42, null, null, null, 27, 53, null, 56, null, -4, -3, 4, -1, -3, -5, 7, -3, 2, -8, 8, -9, 7, 7, 8, 6, -5].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the mean of column sleep_minutes and column coding_minutes, only looking at the days where the number of calories consumed was less than 1800 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "3275e9bbd1d5a6258dd7b61b0096b2f9b300e1f7da58236c9014bcab7b9d0115",
    "id": "bbeh:buggy_tables:071",
    "request": "I have a table with 33 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 27   | 2025-01-27| 521  | 87   | 44   | 480  | 23:19| 25   | 10   | 3    | 440  | Mon  | 981  | 5    | 12   | 8    | null | 11    |\n| 15   | null | 2025-01-26| 3334 | null | 91   | 311  | null | 34   | 8    | 3    | 985  | Tue  | 924  | 14   | 63   | 3    | 1856  |\n| 1713 | null | 26   | 2025-01-25| 19885| null | 44   | 314  | 22:37| 99   | 1    | 4    | 981  | Wed  | 1656 | 10   | 48   | 6     |\n| 8    | 2506 | 50   | 35   | 2025-01-24| null | 26   | 98   | 559  | 21:27| 46   | 10   | 6    | 256  | Thu  | 1130 | 8    | 36    |\n| 26   | 5    | 1578 | null | 52   | 2025-01-23| 14113| 22   | 88   | null | 21:43| null | 5    | 5    | 308  | Fri  | 630  | 15    |\n| 12   | 1    | null | 2469 | 13   | 21   | 2025-01-22| 16590| 40   | 79   | 353  | 22:11| 40   | 6    | 6    | 311  | null | null  |\n| 1268 | 9    | 6    | 1    | 2412 | 51   | 13   | 2025-01-21| null | 70   | 59   | 547  | 23:37| null | 1    | 3    | 688  | Sun   |\n| Mon  | 815  | 8    | 18   | 4    | 1428 | 23   | 49   | 2025-01-20| 15879| 57   | 96   | 410  | 21:55| 31   | 1    | 6    | 455   |\n| 188  | Tue  | 323  | 11   | 23   | 3    | 2111 | 25   | 51   | 2025-01-19| 9628 | 61   | 41   | 558  | null | 55   | 2    | 8     |\n| 1    | 933  | Wed  | 984  | 2    | 5    | 7    | 2179 | 40   | 18   | 2025-01-18| 9072 | 10   | 18   | 562  | 21:12| 79   | 9     |\n| 7    | 2    | 508  | Thu  | 1005 | 3    | 32   | 10   | 2203 | 53   | 10   | 2025-01-17| 9528 | 24   | 99   | 426  | null | 57    |\n| 58   | 9    | 5    | null | Fri  | 1350 | 12   | 0    | 7    | 1801 | 58   | 35   | 2025-01-16| 15428| 75   | 87   | 588  | null  |\n| null | 41   | 10   | 3    | 277  | Sat  | 1790 | 7    | 12   | 5    | 2060 | 27   | 59   | 2025-01-15| 10359| 20   | 50   | 371   |\n| 576  | 21:45| 84   | 6    | 1    | 675  | Sun  | 826  | 14   | 13   | null | 1060 | 36   | 54   | 2025-01-14| 19800| 88   | null  |\n| 58   | null | 22:43| 60   | 7    | 1    | 981  | null | 1274 | 11   | 39   | 7    | 563  | 25   | 22   | 2025-01-13| 1774 | 52    |\n| 61   | 28   | 519  | 22:14| 62   | 10   | 8    | null | Tue  | 382  | 5    | 31   | 8    | 2796 | 41   | 25   | 2025-01-12| 15735 |\n| 18003| 65   | 94   | 337  | 23:56| 79   | 10   | 6    | 381  | Wed  | 587  | 5    | 34   | 3    | 1693 | 16   | 58   | 2025-01-11 |\n| 2025-01-10| 10958| 100  | 18   | null | 22:26| 96   | 8    | 6    | 451  | Thu  | 878  | 3    | 17   | 2    | 821  | 24   | 55    |\n| 13   | 2025-01-09| 3478 | 79   | null | 547  | 22:53| 54   | 1    | 10   | 341  | Fri  | 697  | 9    | 39   | 7    | 828  | 24    |\n| 15   | 10   | 2025-01-08| 16537| null | 36   | 463  | 22:15| null | 1    | 8    | 867  | Sat  | 517  | 15   | 49   | 8    | 2848  |\n| 1998 | 53   | 14   | 2025-01-07| 15962| 34   | 99   | 565  | null | 65   | null | 8    | 848  | null | 1115 | 3    | 0    | null  |\n| 2    | 742  | 20   | 48   | 2025-01-06| 3422 | null | 66   | null | 21:10| 61   | 5    | 7    | 689  | null | null | 8    | 22    |\n| 12   | 6    | 770  | 46   | 26   | 2025-01-05| 10348| null | 50   | 452  | 23:13| 17   | 7    | 7    | 509  | null | 371  | null  |\n| null | 37   | 7    | 2970 | 42   | 24   | 2025-01-04| 17797| 30   | 49   | 580  | 22:13| 45   | 3    | 8    | 119  | Wed  | 1817  |\n| 941  | null | 1    | 1    | 518  | 27   | 51   | 2025-01-03| null | 58   | 77   | 426  | 21:36| null | 2    | 6    | 436  | null  |\n| Fri  | 483  | 5    | 54   | 8    | null | 35   | 36   | 2025-01-02| 7337 | 12   | 72   | 441  | 22:56| 20   | 6    | 7    | 987   |\n| 574  | Sat  | 1451 | 6    | 46   | 4    | 1033 | 20   | 50   | 2025-01-01| 9041 | 49   | 16   | 313  | 23:29| 33   | 8    | 3     |\n| 10   | null | Sun  | 1295 | 7    | 12   | 3    | 2219 | 50   | 15   | 2024-12-31| 1280 | 64   | null | 328  | 22:19| 75   | 7     |\n| 6    | 1    | 882  | null | 1603 | 10   | 51   | 8    | null | 49   | 34   | 2024-12-30| 18782| 76   | null | 397  | 22:19| 24    |\n| 57   | 5    | 1    | 117  | Tue  | 627  | 6    | 57   | 4    | 2101 | null | 16   | 2024-12-29| 13709| 15   | 11   | 559  | 23:33 |\n| 23:22| 43   | null | null | 611  | Wed  | 1451 | 14   | 18   | 6    | null | 15   | 24   | 2024-12-28| 16927| 45   | 94   | null  |\n| 531  | 23:21| 33   | 7    | 9    | 954  | Thu  | 1311 | null | 33   | 10   | 1290 | 23   | 13   | 2024-12-27| 10701| null | 95    |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the mean of column exercise_minutes and column phone_screen_time_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the number of emails was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "91ee50938fbba354509a4faccb3d93d4a576d0a7b6e6f84408a024cda3244dfa",
    "id": "bbeh:buggy_tables:077",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, num_steps, 17332, 17039, 5010, 18185, 15989, 14491, 374, 17848, 1788, 10809, 19626, 13386, 16531, 11606, 8476, 6206, 3184, 17035, 4346, 7928, 5831, 4217, study_minutes, 21, 19, 36, 100, 39, 56, 29, 73, 41, 15, 63, 100, 62, 18, 72, 56, 18, 58, 37, 19, 17, 99, 76, 21, 90, exercise_minutes, 86, 87, 80, 43, 44, 93, 29, 51, 55, 65, 86, 14, 52, 13, 46, 41, 95, 61, 94, 52, 39, sleep_minutes, 533, 388, 508, 394, 385, 391, 521, 590, 598, 500, 374, 300, 363, 517, 365, 397, 520, 405, 398, 499, 456, 502, 343, 405, 349, bed_time, 23:15, 23:46, 23:34, 22:24, 22:18, 21:23, 21:45, 21:17, 23:58, 22:35, 22:28, 21:18, 23:36, 23:36, 23:20, 21:51, 22:15, 22:12, 23:42, 23:20, 21:47, 21:28, 23:51, 21:49, 22:32, num_messages, 94, 63, 52, 11, 23, 92, 99, 19, 25, 78, 20, 34, 46, 79, 92, 34, 98, 46, 46, 27, 11, 19, 34, num_emails, 8, 6, 5, 6, 5, 5, 1, 2, 9, 4, 4, 3, 4, 2, 2, 4, 10, 3, 6, 7, 8, 5, 9, num_calls, 2, 8, 4, 4, 9, 7, 1, 8, 8, 9, 3, 4, 6, 1, 7, 2, 9, 10, 2, 10, 4, 4, 9, 8, calories_burned, 178, 199, 432, 311, 622, 618, 768, 895, 179, 482, 288, 484, 605, 460, 977, 576, 799, 556, 484, 429, 298, 236, 892, 838, weekday, Mon, Tue, Wed, Thu, Fri, Sun, Mon, Tue, Thu, Fri, Sat, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Thu, Fri, calories_consumed, 1228, 462, 1256, 475, 565, 459, 1267, 1746, 523, 1921, 732, 1720, 1768, 1726, 822, 648, 1152, 1821, 967, 1494, 1059, 1882, 972, 1873, num_meetings, 15, 15, 2, 5, 3, 6, 15, 15, 9, 9, 2, 6, 2, 8, 7, 13, 10, 11, 8, 3, 13, coding_minutes, 13, 50, 53, 25, 34, 63, 57, 3, 50, 43, 43, 9, 48, 64, 7, 6, 55, 28, 1, 36, 23, 17, 53, num_tasks_completed, 10, 3, 6, 6, 4, 4, 9, 4, 4, 6, 9, 8, 7, 9, 4, 10, 4, 9, 6, 8, 9, 8, 4, 6, 6, water_intake_ml, 901, 1464, 2478, 1502, 2608, 2268, 1181, 802, 1214, 1069, 2824, 2400, 1290, 2307, 2123, 2789, 696, 981, 1022, 2004, phone_screen_time_minutes, 45, 54, 55, 25, 46, 43, 21, 17, 57, 26, 21, 42, 24, 26, 13, 27, 36, 30, 46, 53, 24, 40, 53, 28, music_listening_minutes, 59, 46, 10, 31, 57, 48, 20, 57, 11, 28, 52, 11, 13, 25, 26, 20, 33, 54, 17, 39, 20, 13, 38, 54].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 1), (6, 15), (14, 1), (12, 16), (14, 10), (9, 2), (17, 3), (5, 1), (17, 15), (25, 1), (1, 12), (26, 11), (2, 17), (7, 7), (21, 3), (7, 13), (12, 3), (21, 12), (12, 6), (4, 8), (12, 15), (4, 11), (14, 15), (24, 7), (24, 10), (26, 13), (13, 13), (18, 12), (6, 10), (7, 12), (23, 5), (21, 14), (4, 7), (20, 15), (22, 12), (9, 9), (10, 4), (11, 9), (10, 10), (10, 16), (24, 3), (11, 15), (13, 6), (7, 8), (6, 6), (6, 3), (16, 17)]. Compute the absolute difference between the sum of column coding_minutes and column music_listening_minutes, only looking at the days where the number of calories consumed was less than 1800 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "229a0c493738d9b6537f922f36d58a05a7c41501bafef8e7bf1b7a3bebd956e1",
    "id": "bbeh:buggy_tables:080",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 1525 | 63   | 39   | 323  | 22:41| 93   | 6    | ERROR| 629  | null | 1831 | 7    | 36   | 7    | 1603 | null | 57    |\n| 2025-01-26| 527  | 22   | 14   | 303  | 21:54| 77   | 1    | 6    | 299  | Tue  | 346  | 10   | ERROR| 4    | null | 21   | 49    |\n| 2025-01-25| 6650 | 16   | 39   | 552  | 22:12| null | null | 3    | 982  | Wed  | 317  | 2    | 36   | 9    | 1711 | ERROR| 53    |\n| 2025-01-24| 8584 | 83   | 76   | 474  | null | 15   | 2    | 7    | 637  | Thu  | 954  | 12   | 34   | 10   | 2903 | ERROR| 16    |\n| 2025-01-23| ERROR| 97   | 64   | ERROR| 21:37| ERROR| null | 6    | 699  | Fri  | 1136 | 12   | 40   | ERROR| 2301 | 31   | ERROR |\n| 2025-01-22| 14350| 73   | 52   | 494  | 23:18| 89   | ERROR| 9    | 389  | Sat  | 653  | 9    | 24   | 2    | 1432 | 46   | 12    |\n| 2025-01-21| 8658 | 53   | 62   | 421  | ERROR| 43   | 10   | null | 899  | Sun  | 1975 | 5    | 5    | 4    | 2966 | 25   | 37    |\n| 2025-01-20| 15910| ERROR| 10   | ERROR| 22:20| 86   | 6    | 2    | 575  | Mon  | ERROR| 4    | null | 7    | 2906 | null | 27    |\n| 2025-01-19| 3223 | 22   | null | 359  | null | 74   | null | 1    | 229  | Tue  | 1531 | 12   | 27   | 3    | 878  | 43   | 32    |\n| 2025-01-18| null | 66   | 54   | 443  | 23:24| 48   | 3    | 9    | null | Wed  | 1301 | 15   | 26   | 5    | 2434 | 39   | null  |\n| 2025-01-17| 8810 | 68   | ERROR| null | ERROR| 35   | 3    | 7    | 799  | Thu  | 564  | 4    | 50   | ERROR| 2051 | 15   | 60    |\n| 2025-01-16| 9138 | 12   | ERROR| 582  | 23:44| 29   | 6    | 2    | 837  | Fri  | 1190 | 10   | ERROR| 8    | 1757 | 30   | 49    |\n| 2025-01-15| 17860| 14   | 75   | 424  | 22:46| ERROR| 5    | null | ERROR| Sat  | 1239 | 15   | 62   | 8    | 1437 | 59   | 36    |\n| 2025-01-14| 9295 | 72   | 52   | 460  | 22:18| 25   | 4    | 2    | 181  | Sun  | 395  | ERROR| 15   | 10   | 765  | 53   | 51    |\n| 2025-01-13| ERROR| 58   | 22   | null | 23:15| 29   | 6    | 5    | 297  | null | 1031 | 11   | 43   | 1    | 572  | ERROR| 27    |\n| 2025-01-12| 19153| 82   | 51   | 543  | null | 81   | 4    | 4    | ERROR| Tue  | 835  | 8    | ERROR| 2    | null | null | 59    |\n| 2025-01-11| 16813| 41   | 53   | 600  | 23:59| 97   | 5    | 6    | ERROR| ERROR| 1828 | 12   | 9    | 9    | ERROR| 53   | 50    |\n| 2025-01-10| 3884 | 83   | 78   | 396  | 22:38| 51   | 7    | 2    | 533  | ERROR| 1663 | 14   | 62   | 6    | 608  | 53   | ERROR |\n| 2025-01-09| 15486| 87   | 19   | ERROR| 22:12| 27   | 2    | null | 690  | ERROR| 1059 | 14   | 12   | 4    | 594  | 23   | ERROR |\n| 2025-01-08| 12863| 87   | 52   | null | 23:54| 72   | 5    | ERROR| 671  | Sat  | 1869 | 10   | null | ERROR| 2163 | null | 14    |\n| 2025-01-07| 291  | 45   | 96   | ERROR| 22:27| 74   | 3    | 1    | null | Sun  | 711  | 12   | null | ERROR| 1074 | 34   | null  |\n| 2025-01-06| 9299 | 52   | null | null | 22:41| 90   | 3    | 1    | 852  | null | 1465 | 5    | 63   | 9    | 2581 | ERROR| 34    |\n| 2025-01-05| 6792 | null | 94   | 372  | 22:49| 86   | 10   | 3    | 364  | Tue  | 1749 | 11   | 51   | 4    | null | 55   | null  |\n| 2025-01-04| 15240| ERROR| 20   | 325  | 21:57| 20   | 9    | 5    | 840  | null | 1203 | ERROR| 6    | ERROR| 1792 | 13   | 12    |\n| 2025-01-03| 9639 | null | 85   | 408  | 21:46| 15   | ERROR| 10   | 904  | Thu  | 381  | null | 41   | 9    | 1040 | null | 45    |\n| 2025-01-02| 8483 | 99   | 86   | null | 21:46| ERROR| 3    | 8    | 690  | null | 991  | 8    | 44   | ERROR| 1397 | 33   | ERROR |\n| 2025-01-01| 11967| 28   | ERROR| 395  | null | 92   | 4    | 7    | 229  | ERROR| 1929 | ERROR| 40   | null | 2331 | 58   | 26    |\n| 2024-12-31| 5426 | 96   | 30   | ERROR| 23:57| 63   | 10   | 6    | null | null | 830  | ERROR| 20   | 4    | 1796 | 30   | 23    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [4843, 17671, 60, 36, 51, 29, 95, null, 460, 489, 414, 321, 22:43, 23:53, 50, 47, 16, 3, null, 8, 1, 655, 361, 782, Wed, null, Fri, Sat, 452, 14, 1, 14, 7, 5, 0, 61, 2, 7, 1, 6, 1, 5, null, 51, 49, 53, 52, 33, 39, null, 21]. Compute the absolute difference between the sum of column coding_minutes and column exercise_minutes, only looking at the days where the number of meetings was greater than 2 and the water intake was less than 2500 ml. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "3c5cf4660f125ab7b232f4f619d2593e44c42c1878c125571b4e35f11184502c",
    "id": "bbeh:buggy_tables:081",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 8585 && 1688| 98 && 52| 14 && null| null && 586| 21:38 && 23:27| 66 && 63| 7 && 4| 4 && 6| 349 && null| null && Tue| 942 && null| 15 && 7| 47 && 52| 9 && 1| 642 && null| 44 && null| 24 && 54 |\n| 2025-01-25 && 2025-01-24| 8985 && 17035| 39 && 59| 88 && 84| 477 && 525| 23:20 && null| 94 && 40| 9 && 9| 4 && 4| 309 && 604| Wed && Thu| 987 && 1051| 15 && 15| 46 && 18| 2 && null| 2626 && 1722| 22 && 33| 36 && 56 |\n| 2025-01-23 && 2025-01-22| 17275 && 18090| 40 && 78| 10 && 92| 542 && 528| 22:47 && 22:47| null && 21| 9 && 8| 9 && 2| 987 && 694| Fri && Sat| 1886 && 1464| 12 && 5| 57 && 4| 5 && 10| 1134 && 1245| 55 && 38| null && 31 |\n| 2025-01-21 && 2025-01-20| 5256 && 6816| 67 && 56| 32 && 66| 427 && 394| 21:19 && null| 63 && 52| 5 && 10| 9 && 2| 664 && 708| null && null| 722 && 842| 8 && 14| 0 && 52| 2 && 2| 503 && 1025| 47 && 18| 60 && 57 |\n| 2025-01-19 && 2025-01-18| null && 6986| 38 && 34| null && 20| 461 && 398| 22:15 && 21:57| 22 && 68| 7 && 4| 1 && 9| 306 && 765| Tue && Wed| 726 && 426| 1 && 9| 24 && 3| 7 && 10| 586 && 1233| null && 43| 56 && 49 |\n| 2025-01-17 && 2025-01-16| 9385 && 1869| 20 && 31| 55 && 70| 569 && 516| null && 21:48| 74 && 28| 8 && 3| 10 && 7| null && 661| Thu && Fri| 1430 && 1668| 15 && 1| null && null| 1 && 2| 1436 && 803| 44 && 24| 14 && 14 |\n| 2025-01-15 && 2025-01-14| 9995 && 15193| 30 && 92| 73 && 67| 456 && null| null && 21:30| 44 && 25| 6 && 9| 4 && 7| 830 && 853| null && null| 375 && 1153| 15 && 6| 20 && null| 4 && null| 2144 && 807| 39 && 30| 59 && 22 |\n| 2025-01-13 && 2025-01-12| 17290 && 7002| 24 && 30| 35 && null| 419 && 390| 23:23 && 23:49| 45 && 35| 9 && 2| 2 && 3| 941 && 324| Mon && Tue| 549 && 1002| 7 && 12| 35 && 13| 7 && 3| 558 && 1565| 37 && 30| null && null |\n| 2025-01-11 && 2025-01-10| 1558 && null| 78 && 96| 77 && 78| 358 && 350| 23:51 && 23:24| 90 && 43| 7 && 1| 2 && 10| 529 && 924| Wed && Thu| 1209 && 1017| 2 && 12| 47 && 42| 4 && 7| 658 && null| 24 && 30| 48 && 19 |\n| 2025-01-09 && 2025-01-08| 7830 && 7447| 50 && 11| 84 && 32| 589 && 600| 23:34 && null| 66 && 79| null && 5| 5 && 4| null && 259| Fri && Sat| null && 1250| 13 && 9| 59 && null| 1 && 7| 2038 && 858| 30 && 21| null && 59 |\n| 2025-01-07 && 2025-01-06| 12926 && 2194| 39 && 88| 37 && 28| 400 && 476| 22:56 && 22:58| 53 && 35| 1 && 10| 1 && 1| null && 989| null && Mon| 1100 && 503| 4 && 11| 57 && 54| null && 7| 2536 && 1323| 39 && 32| 27 && 19 |\n| 2025-01-05 && 2025-01-04| 698 && 13437| null && 71| 82 && 38| 483 && 488| null && 21:49| 41 && 82| 6 && 8| 10 && 10| 446 && 111| Tue && null| 913 && 1485| null && 8| 56 && 6| 6 && 1| 2638 && 1947| 14 && 29| null && 34 |\n| 2025-01-03 && 2025-01-02| 777 && 3257| 66 && 52| null && 39| 557 && 438| 22:23 && 22:41| 13 && 91| 4 && 7| 9 && 1| 586 && 978| Thu && Fri| 1431 && 965| 13 && 5| 25 && 26| 3 && 5| 1084 && 656| 39 && 43| 12 && 33 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the mean of column study_minutes and column phone_screen_time_minutes, only looking at the days where the coding minutes was greater than 20 and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "458ebcdbde229ecf24be2c5b5f61a536ad450e8384a5bb987ab812e5e198459e",
    "id": "bbeh:buggy_tables:082",
    "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 24   | 2025-01-27| 3089 | 35   | 49   | 451  | 21:54| 48   | 8    | 6    | null | null | null | 7    | 2    | 6    | 2628 | 24    |\n| 30   | null | 2025-01-26| 912  | 57   | 69   | 574  | 23:52| 12   | 8    | 8    | 478  | Tue  | 693  | 15   | 34   | null | 761   |\n| 2699 | 28   | 45   | 2025-01-25| 10607| 60   | 44   | 466  | 23:30| 36   | 6    | 6    | 294  | null | null | 8    | 44   | 3     |\n| 4    | 1268 | 51   | null | 2025-01-24| 13807| 27   | 32   | 316  | 23:31| 78   | 8    | null | 139  | Thu  | null | 4    | 19    |\n| 0    | 7    | 1617 | null | 59   | 2025-01-23| 4379 | 12   | 100  | 456  | 21:20| 99   | 8    | 1    | 145  | Fri  | 344  | 3     |\n| 15   | 28   | 3    | 1998 | 56   | 43   | 2025-01-22| 3112 | 89   | 29   | null | 21:31| 58   | 1    | 5    | 212  | Sat  | 974   |\n| 860  | 10   | 48   | 2    | 1778 | 22   | null | 2025-01-21| 5179 | 51   | 66   | 560  | 22:53| null | 7    | 9    | 450  | Sun   |\n| null | null | 15   | 21   | 10   | 2152 | 40   | 25   | 2025-01-20| 12204| 43   | null | 333  | 22:22| 76   | 8    | 4    | 687   |\n| 704  | Tue  | 352  | 3    | 18   | 7    | 680  | 24   | 38   | 2025-01-19| 3167 | 44   | 70   | 542  | 22:10| 59   | 6    | 10    |\n| 6    | 142  | Wed  | 1593 | 10   | null | 8    | 634  | 27   | 27   | 2025-01-18| 16469| 14   | 18   | null | 23:10| null | 2     |\n| 6    | 4    | 541  | Thu  | 1326 | 8    | 50   | 3    | null | 13   | null | 2025-01-17| 9027 | 76   | 40   | 555  | 23:54| 66    |\n| 79   | 7    | 7    | 187  | Fri  | 1068 | 11   | 25   | 4    | 1380 | 50   | 34   | 2025-01-16| 10138| 64   | 88   | 353  | 22:46 |\n| 22:25| 45   | 1    | 1    | 950  | Sat  | 443  | 3    | 29   | 9    | 762  | null | 20   | 2025-01-15| 1756 | 87   | 100  | 506   |\n| 357  | 21:45| null | 3    | 7    | null | Sun  | null | 6    | 26   | 2    | null | 47   | 14   | 2025-01-14| 15441| 56   | 53    |\n| 85   | null | 21:39| 74   | 10   | 6    | 278  | null | null | 13   | 46   | 2    | 2028 | 29   | 52   | 2025-01-13| 2420 | 37    |\n| 99   | 80   | 432  | 22:39| 46   | 4    | 8    | null | Tue  | 359  | 7    | 61   | 5    | 521  | 26   | 57   | 2025-01-12| 12358 |\n| 17444| 42   | 41   | 333  | 21:21| 60   | 7    | null | 417  | Wed  | 593  | 3    | 20   | null | 1231 | 14   | 56   | 2025-01-11 |\n| 2025-01-10| 9614 | 90   | 67   | 305  | 21:57| 30   | 2    | 1    | 196  | Thu  | null | 6    | 39   | 6    | null | 55   | null  |\n| 53   | 2025-01-09| 19156| 96   | 74   | 595  | 23:31| 35   | 2    | 5    | 327  | Fri  | 1969 | 5    | 4    | 9    | null | 19    |\n| 46   | 32   | 2025-01-08| 11620| 44   | 60   | 459  | 21:58| 85   | 4    | 9    | 535  | Sat  | 1831 | 6    | null | 2    | 1127  |\n| 2330 | 33   | 58   | 2025-01-07| 11400| 84   | 72   | null | null | 95   | 2    | 3    | 494  | Sun  | 609  | 6    | 10   | 6     |\n| 1    | 2596 | 59   | 57   | 2025-01-06| 14864| 17   | 85   | 493  | 21:22| 16   | 5    | 8    | 377  | Mon  | 1058 | 11   | 12    |\n| 60   | 5    | 2048 | 17   | 45   | 2025-01-05| 13765| 50   | 98   | null | 23:33| 72   | 8    | 4    | 152  | Tue  | 793  | 10    |\n| 3    | null | null | 2480 | 45   | 59   | 2025-01-04| null | 26   | 25   | null | 21:24| 52   | 2    | 6    | 698  | Wed  | 1163  |\n| 1161 | null | 54   | 7    | 1620 | 39   | 53   | 2025-01-03| 8233 | null | 52   | 538  | 23:20| 79   | 4    | 7    | 600  | Thu   |\n| Fri  | 563  | 3    | null | 7    | 2892 | 24   | 18   | 2025-01-02| 5177 | 60   | 34   | 311  | 23:56| 67   | null | 4    | 440   |\n| 755  | null | 1535 | 13   | 9    | 1    | 2685 | 60   | null | 2025-01-01| 12926| 20   | 41   | 381  | 23:41| 53   | 10   | 1     |\n| 6    | 658  | null | 1715 | 13   | 2    | 6    | 2879 | 21   | 32   | 2024-12-31| 18307| 78   | 39   | 410  | 23:18| 81   | 1     |\n| 4    | 6    | 128  | Mon  | 1338 | 8    | 37   | 3    | 2687 | 10   | 49   | 2024-12-30| 11905| 41   | 53   | 571  | 23:24| 56    |\n| 73   | 5    | 1    | 682  | Tue  | 1373 | 8    | 63   | 5    | null | 58   | 55   | 2024-12-29| 1786 | 71   | 27   | null | 22:30 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the sum of column coding_minutes and column phone_screen_time_minutes, only looking at the days where the exercise minutes was less than 50 and the number of emails was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "8dad5f7afaa4f1bc6393a8f285305871e46c332a7280a9a014d78c6d83a76509",
    "id": "bbeh:buggy_tables:093",
    "request": "I have a table with 30 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 10460, 58, 17, 510, 23:34, 38, 6, 4, 455, 3, 22, 10, 867, 56, 2025-01-26, 2227, 24, 331, 21:38, 65, 7, 5, 539, Tue, 1276, 14, 63, 7, 1880, 45, 44, 2025-01-25, 2657, 47, 31, 22:36, 20, 6, 9, 394, Wed, 58, 534, 25, 31, 2025-01-24, 17449, 55, 34, 300, 23:17, 7, 7, 404, Thu, 1409, 11, 6, 1, 1641, 42, 45, 2025-01-23, 11349, 78, 75, 22:32, 85, 9, 689, Fri, 868, 63, 4, 1473, 43, 18, 2025-01-22, 79, 539, 23:45, 8, 718, Sat, 684, 65, 6, 2117, 38, 2025-01-21, 17732, 38, 50, 364, 22:25, 66, 6, 8, 185, Sun, 1664, 58, 7, 1341, 26, 50, 2025-01-20, 14083, 39, 30, 548, 21:38, 52, 5, 472, Mon, 1148, 52, 6, 2040, 42, 2025-01-19, 14316, 35, 312, 22:46, 50, 4, 1, Tue, 15, 58, 2, 1539, 10, 54, 2025-01-18, 162, 32, 30, 551, 23:48, 82, 2, 7, 704, Wed, 893, 14, 7, 3, 1426, 24, 58, 2025-01-17, 16534, 58, 39, 547, 21:18, 80, 9, 5, 762, Thu, 1201, 16, 1, 2755, 51, 30, 2025-01-16, 17920, 11, 20, 322, 23, 2, 9, 647, Fri, 4, 53, 10, 2700, 51, 45, 2025-01-15, 16427, 64, 36, 317, 23:23, 52, 5, 4, 846, 662, 5, 8, 1, 2971, 58, 15, 2025-01-14, 18065, 59, 57, 393, 43, 8, 1, 845, Sun, 1275, 9, 17, 7, 2031, 45, 32, 2025-01-13, 17934, 62, 78, 577, 22:29, 38, 5, 5, 299, Mon, 1600, 1, 13, 5, 2026, 48, 27, 2025-01-12, 3664, 46, 20, 357, 22:38, 16, 3, 3, 485, Tue, 1327, 5, 2260, 33, 2025-01-11, 19430, 87, 34, 393, 22:35, 29, 5, 7, 527, Wed, 1880, 11, 63, 5, 2830, 42, 2025-01-10, 6598, 64, 26, 335, 22:55, 16, 4, 299, Thu, 903, 12, 1, 1220, 58, 22, 2025-01-09, 7125, 76, 37, 574, 88, 6, 7, 216, Fri, 311, 14, 57, 3, 587, 47, 2025-01-08, 2243, 43, 54, 403, 23:20, 86, 9, 880, Sat, 971, 9, 37, 4, 1744, 59, 42, 2025-01-07, 15582, 94, 61, 410, 23:51, 53, 1, 7, 151, Sun, 1132, 3, 13, 6, 2108, 19, 37, 2025-01-06, 11493, 76, 80, 305, 22:22, 18, 6, 3, 508, Mon, 919, 12, 17, 8, 1919, 58, 2025-01-05, 9719, 20, 65, 23:17, 40, 1, 3, 588, Tue, 1055, 13, 8, 53, 2025-01-04, 17831, 88, 40, 303, 22:52, 4, 9, 674, Wed, 632, 13, 3, 9, 2074, 12, 20, 2025-01-03, 5767, 29, 412, 23:58, 66, 3, 9, Thu, 1635, 9, 3, 10, 1300, 25, 60, 2025-01-02, 8929, 63, 43, 414, 22:23, 35, 6, 7, 232, 1210, 15, 37, 4, 1007, 28, 2025-01-01, 6215, 18, 74, 350, 21:33, 28, 3, 5, 246, Sat, 1446, 3, 10, 1942, 13, 25, 2024-12-31, 11821, 83, 24, 563, 23:29, 62, 6, 6, 165, Sun, 1136, 22, 2, 2024, 60, 37, 2024-12-30, 713, 56, 318, 23:41, 48, 8, 715, Mon, 1565, 13, 18, 10, 792, 40, 49].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(6, 12), (23, 4), (3, 4), (23, 16), (5, 4), (4, 6), (23, 13), (9, 2), (22, 17), (28, 12), (8, 12), (9, 11), (18, 7), (16, 16), (29, 7), (16, 13), (26, 17), (20, 7), (18, 13), (23, 15), (3, 12), (5, 12), (19, 5), (27, 12), (8, 8), (25, 3), (25, 9), (8, 17), (1, 11), (6, 1), (13, 10), (16, 12), (26, 10), (6, 7), (29, 3), (1, 17), (7, 12), (6, 16), (12, 5), (12, 11), (14, 5), (3, 11), (3, 14), (9, 9), (17, 16), (5, 8), (19, 16), (24, 6), (11, 12), (2, 3), (1, 10), (6, 6), (6, 3)]. Compute the absolute difference between the mean of column phone_screen_time_minutes and column coding_minutes, only looking at the days where the number of calories burned was less than 800 and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "5726eb61e091ffea901c01768e04da9efa54635ce23e5272076bc89a6231588a",
    "id": "bbeh:buggy_tables:102",
    "request": "I have a table with 33 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, 2024-12-27, num_steps, 8122, 3696, 499, 14752, 17684, 117, 16791, 10683, 10276, 18182, 8160, 12397, 14042, 19993, 4229, 1007, 17483, 11750, 7038, 8198, 6784, 9964, 13940, 13038, 12264, 4642, 18804, 12609, 17134, 10382, 1032, 1696, -3, study_minutes, 70, 25, 87, 69, 60, 41, 60, 35, 22, 76, 33, 78, 11, 47, 73, 80, null, null, 95, 29, 23, 48, 96, 31, 53, 35, 85, 87, 76, 17, 44, 34, 7, -8, exercise_minutes, 45, null, 27, 16, 36, 81, 38, 69, 96, null, 89, 83, 59, null, 82, 71, 37, 80, 32, 96, null, 78, 34, 20, 82, 72, 48, 89, 37, 29, 61, 56, -3, 9, -6, sleep_minutes, 577, 549, 536, 552, 523, 570, 314, 389, 512, null, 352, 311, 430, 430, 483, 572, 551, 368, 345, null, 356, 355, null, 461, null, 472, 422, 329, 340, 437, 492, 393, 0, -4, -7, -1, bed_time, 23:12, 21:48, 23:39, 21:51, 23:15, 21:33, 23:20, 21:40, 22:29, 23:33, 22:40, 22:29, 22:24, null, 22:31, 21:27, 21:47, null, 21:18, 21:23, 21:25, 21:52, 22:36, 23:36, 22:39, 22:55, null, 23:57, 22:16, 21:25, 22:51, 22:38, -4, 6, -2, 3, 7, num_messages, 32, 45, 83, 20, 91, null, 79, 71, 87, 35, 56, 15, 35, 33, 96, 53, 82, 84, null, 67, 59, 25, 28, null, null, 10, 32, 47, 92, 34, 27, null, 5, -9, 8, 0, 6, -1, num_emails, 5, 4, 1, 8, 7, 6, 6, 8, 9, 5, 1, 7, 4, 9, 1, 2, 9, 5, 10, 1, 3, 7, 1, null, null, 2, 9, 8, 1, 4, 3, 1, -2, -6, 4, -3, 9, 2, -7, num_calls, 6, 10, null, 1, 8, 6, 2, 6, 2, 7, 5, 8, 1, 4, 2, 6, 3, 6, 1, 3, 10, 7, 1, 5, 10, 6, 3, 8, null, 3, 8, null, -4, -10, 7, -7, 0, 6, 2, 4, calories_burned, 421, 559, null, 245, 443, 107, 293, 787, 980, 937, 214, 468, null, 290, 261, 698, 407, null, 226, null, 423, 329, 203, 415, 687, 217, 187, null, 631, 970, 725, 197, 9, 7, 6, -7, -8, -2, -7, 5, -10, weekday, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, null, Fri, Sat, null, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, null, 2, -8, 6, 7, -8, 4, 2, -6, 1, 3, calories_consumed, 771, 1187, 315, 555, 445, 1598, 1671, 1501, 1164, 1801, 1577, 387, 1675, 1008, 1800, 435, null, 1115, 1865, null, 1317, 968, 1334, 1220, 453, 1333, 1422, 1832, 1700, 395, 1926, 774, -2, 10, -4, 0, -7, 4, -2, 2, 0, 8, 7, num_meetings, 13, 2, 13, 10, 1, 6, null, 13, 3, 12, 7, 8, null, 13, 13, 6, 13, 14, 2, 10, 14, 13, 7, 15, null, 9, 4, 10, 11, null, 12, 8, -2, 10, 5, -9, -1, -6, -7, 0, 1, -6, -1, -3, coding_minutes, null, 33, 39, null, 62, 55, 20, 25, 26, 56, null, 7, 25, 63, 9, 47, 41, 42, 41, 56, 65, 14, 3, 20, 62, null, 28, 18, 36, 31, null, 24, 3, -2, -10, -6, -1, 1, -10, 9, -2, 8, -6, 2, -9, num_tasks_completed, null, 5, 6, 5, null, 2, 10, 3, null, 1, 4, 6, 5, 10, 5, null, 9, 2, 3, 3, 9, 9, 8, 7, 2, 10, 6, null, 6, 10, 1, 5, -8, -6, -2, 9, -10, 8, 2, -6, 4, -9, 4, -10, -4, -8, water_intake_ml, 2100, 2001, 1528, null, 1212, 1085, 1180, 2312, 2862, 1375, 2188, 2936, 573, 1717, 1548, null, null, 1391, 1581, 2862, 1635, null, 1208, 1247, 2973, 714, 2061, 1826, 2502, 2779, 581, 1890, -3, 10, -2, 10, -2, 10, 0, -1, 0, -6, 4, -4, 10, 7, 6, phone_screen_time_minutes, 48, 14, null, null, 10, 39, 57, 13, 24, 21, 21, 49, 53, 37, 14, 39, 60, 55, 53, 28, 35, 36, 32, null, 58, 15, 56, 34, 12, null, 46, 15, -5, 0, -10, 5, -10, -7, -10, -4, -10, 8, 6, 10, -5, 5, 3, 5, music_listening_minutes, 16, null, 46, 42, 41, 57, 37, 26, 40, 11, 47, 57, 35, 11, 11, 47, 48, 37, 34, 49, 42, 60, 37, 26, 36, 19, 56, 27, 28, 43, 24, 53, 4, 1, 6, 0, -6, 4, -8, -5, -4, 7, -3, -9, -6, 1, 3, -3, 0].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the mean of column sleep_minutes and column music_listening_minutes, only looking at the days where the number of messages was greater than 5 and the number of emails was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "76a25394b3bcff23b3aea59b7bc273dcafcd780c4d24bd161eed5dd361018ed4",
    "id": "bbeh:buggy_tables:104",
    "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 15160| 99   | 18   | 469  | 21:23| 19   | 5    | 7    | 293  | null | 400  | 8    | 43   | 5    | 2351 | 51   | 33    |\n| 2025-01-26| ERROR| 58   | 48   | 442  | 21:45| 83   | 4    | 8    | 686  | null | 1535 | 15   | 0    | ERROR| 1699 | 14   | 26    |\n| 2025-01-25| ERROR| null | ERROR| 393  | 22:38| 49   | 6    | null | null | Wed  | 1490 | 1    | 47   | 1    | 754  | 35   | 11    |\n| 2025-01-24| 14257| 88   | 43   | 357  | 22:38| 55   | 2    | ERROR| 292  | Thu  | 1025 | 6    | ERROR| 7    | 1031 | 30   | 32    |\n| 2025-01-23| 9372 | 99   | 91   | 346  | 22:35| 63   | 6    | 2    | 920  | Fri  | 306  | ERROR| 36   | 7    | 2321 | 23   | ERROR |\n| 2025-01-22| 12565| 50   | 86   | 307  | 21:10| null | 4    | 9    | null | ERROR| ERROR| 3    | 14   | ERROR| 1480 | 22   | 57    |\n| 2025-01-21| ERROR| null | 63   | 547  | 23:58| 32   | 10   | 10   | 236  | Sun  | 1478 | 14   | null | 3    | 2687 | 53   | ERROR |\n| 2025-01-20| ERROR| 95   | 30   | 442  | 22:27| 38   | 3    | 6    | 629  | null | 688  | 1    | 10   | 1    | 1583 | 50   | null  |\n| 2025-01-19| 2541 | null | null | 557  | 23:41| 30   | 6    | 8    | 405  | Tue  | ERROR| 9    | 12   | null | 1852 | 38   | 14    |\n| 2025-01-18| 18385| 25   | 38   | 395  | 21:35| 85   | 9    | 3    | 643  | Wed  | ERROR| 15   | 24   | 6    | 2142 | 46   | 56    |\n| 2025-01-17| 11186| 66   | 19   | ERROR| 23:45| 72   | 5    | 5    | 712  | Thu  | 375  | 15   | 17   | 8    | 2681 | 25   | 48    |\n| 2025-01-16| 3831 | null | 88   | 552  | 22:23| 18   | 7    | 9    | null | Fri  | 1202 | ERROR| 40   | 8    | ERROR| 43   | 40    |\n| 2025-01-15| 18011| 89   | ERROR| 459  | 22:41| 55   | 8    | 2    | 717  | ERROR| null | 14   | 60   | null | 573  | 32   | 11    |\n| 2025-01-14| ERROR| 52   | 62   | 438  | null | 94   | 5    | 3    | 909  | Sun  | 606  | 12   | 50   | 8    | 2315 | 37   | ERROR |\n| 2025-01-13| 6709 | 92   | 33   | 448  | 23:21| 99   | 1    | ERROR| 579  | null | 1984 | 5    | 34   | ERROR| 2518 | 55   | 14    |\n| 2025-01-12| ERROR| 72   | 87   | 598  | 23:23| 76   | 4    | 3    | null | Tue  | 673  | 2    | 49   | 3    | null | 60   | 41    |\n| 2025-01-11| 5864 | null | ERROR| 349  | 23:20| 64   | ERROR| null | 226  | Wed  | 689  | ERROR| 20   | ERROR| 2306 | 41   | 18    |\n| 2025-01-10| 13231| ERROR| 99   | ERROR| 22:32| 65   | 2    | 8    | ERROR| Thu  | 738  | null | ERROR| 6    | 513  | null | 46    |\n| 2025-01-09| 10618| 36   | 39   | 592  | 22:20| 41   | 4    | 2    | ERROR| Fri  | ERROR| 4    | 48   | 3    | ERROR| 40   | 37    |\n| 2025-01-08| null | ERROR| 65   | 441  | 23:18| 57   | null | 4    | 372  | Sat  | 1063 | 14   | 12   | 9    | 2130 | 57   | 59    |\n| 2025-01-07| 16961| null | null | 524  | 23:23| ERROR| 6    | 3    | 239  | Sun  | null | 8    | 6    | 3    | 1011 | 21   | 54    |\n| 2025-01-06| 14507| 27   | 89   | 469  | 23:17| 34   | 5    | null | 239  | null | 1376 | 3    | 26   | 3    | 1394 | 45   | 18    |\n| 2025-01-05| ERROR| 47   | 73   | null | 21:13| 68   | 5    | null | 395  | Tue  | ERROR| ERROR| 31   | 10   | 2353 | 12   | ERROR |\n| 2025-01-04| 6368 | 19   | 15   | 568  | 21:37| null | null | 6    | null | null | 936  | 15   | ERROR| 3    | 1284 | 50   | 47    |\n| 2025-01-03| 18058| 34   | 75   | 400  | 23:53| 22   | 2    | 4    | 996  | Thu  | 1530 | 6    | ERROR| 9    | null | null | 34    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [17607, 18069, 15824, 2018, 14605, 15861, 16264, 89, 16, null, 10, null, 558, 456, 10, 6, 5, 1, 174, 425, Sat, Sat, 680, 1216, 1900, 1354, null, 3, 5, 4, 6, 8, 2, 45, 48, 2, null, 3, 4, 986, 2401, 34, 38, 49, 55]. Compute the absolute difference between the mean of column study_minutes and column coding_minutes, only looking at the days where the sleep minutes was greater than 350 and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "ce828e0a46dbcf92170dc38eba7cb59b95bf9712b6b88621c95e378eb58f34e8",
    "id": "bbeh:buggy_tables:105",
    "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| ERROR| 31   | 43   | 556  | 21:11| 83   | 9    | 6    | 517  | ERROR| ERROR| 7    | 35   | 4    | 1637 | 30   | 46    |\n| 2025-01-26| 8556 | 80   | 36   | 524  | 22:45| 63   | 10   | 4    | 544  | Tue  | 569  | 12   | 49   | 4    | 1358 | 11   | null  |\n| 2025-01-25| ERROR| 100  | 71   | ERROR| 23:16| 84   | ERROR| 3    | 521  | Wed  | 1626 | 10   | 17   | 8    | 885  | 39   | 53    |\n| 2025-01-24| 3553 | 50   | 57   | null | 21:58| 92   | 4    | null | 258  | null | 689  | 2    | 6    | 2    | null | null | 28    |\n| 2025-01-23| 18441| 75   | 41   | 569  | null | 71   | 3    | 7    | 217  | Fri  | 1467 | ERROR| ERROR| 3    | 816  | ERROR| 59    |\n| 2025-01-22| 1707 | ERROR| 19   | 306  | 21:29| 88   | 7    | 2    | 135  | ERROR| 364  | null | 63   | 9    | 550  | ERROR| 24    |\n| 2025-01-21| 2675 | 19   | null | 550  | ERROR| 30   | 7    | 5    | 844  | Sun  | null | 3    | 29   | 3    | 1542 | 26   | 57    |\n| 2025-01-20| null | ERROR| 44   | 424  | 21:27| 43   | ERROR| 2    | ERROR| null | 1440 | 3    | 50   | 1    | 2101 | null | ERROR |\n| 2025-01-19| null | 37   | null | 584  | null | 27   | 8    | null | 827  | Tue  | null | null | 14   | 9    | 2125 | 22   | 23    |\n| 2025-01-18| 7395 | null | 95   | 434  | 22:16| 25   | null | 2    | 399  | Wed  | null | 13   | 41   | 8    | 2871 | 40   | null  |\n| 2025-01-17| 14587| 50   | 96   | 373  | ERROR| 94   | 4    | 6    | 349  | Thu  | null | 12   | 21   | 8    | 1244 | 38   | ERROR |\n| 2025-01-16| 18084| ERROR| ERROR| null | 23:23| 18   | 7    | 3    | 136  | ERROR| 1543 | 5    | 60   | 4    | 1084 | ERROR| 27    |\n| 2025-01-15| 18889| 83   | 43   | 572  | 23:22| ERROR| 10   | 2    | 268  | Sat  | 500  | null | 45   | 10   | 692  | 33   | 30    |\n| 2025-01-14| null | 21   | ERROR| ERROR| ERROR| 30   | ERROR| 6    | 957  | Sun  | 808  | 1    | 59   | 3    | 1074 | 55   | ERROR |\n| 2025-01-13| 17005| 81   | 26   | 368  | 22:37| 33   | 7    | 6    | 793  | null | 1096 | 3    | 56   | 7    | 802  | 22   | 33    |\n| 2025-01-12| 16846| 74   | 22   | null | 23:46| 81   | ERROR| 7    | ERROR| Tue  | 1313 | 3    | 51   | 6    | ERROR| 59   | 60    |\n| 2025-01-11| null | 12   | 65   | 349  | 22:20| 75   | 1    | 5    | 363  | Wed  | 1984 | ERROR| ERROR| 9    | 2888 | null | 17    |\n| 2025-01-10| 19860| 64   | 99   | null | 23:51| 89   | 5    | 5    | 351  | Thu  | 518  | ERROR| 4    | 7    | 2872 | 18   | 46    |\n| 2025-01-09| 9937 | 44   | 100  | 405  | 21:26| 18   | 5    | 5    | ERROR| Fri  | ERROR| 12   | 58   | ERROR| 2662 | ERROR| 35    |\n| 2025-01-08| null | 80   | ERROR| ERROR| 22:51| 49   | ERROR| 3    | 143  | Sat  | 1487 | 11   | 61   | 3    | 1841 | 58   | 57    |\n| 2025-01-07| 13735| 52   | 59   | 387  | null | 79   | 8    | 10   | ERROR| Sun  | 1219 | null | 19   | 9    | 1982 | 13   | 37    |\n| 2025-01-06| 10908| 34   | null | 513  | 23:43| 96   | 2    | 10   | 608  | null | 1943 | 8    | 16   | 10   | 2523 | 15   | 46    |\n| 2025-01-05| 11565| 74   | 24   | 411  | 23:11| null | 8    | 2    | 983  | Tue  | 1931 | 3    | 46   | 8    | 2259 | ERROR| 13    |\n| 2025-01-04| 17559| 64   | 70   | 441  | 22:42| 79   | 10   | 5    | null | Wed  | 935  | 2    | 38   | 3    | 2538 | 34   | ERROR |\n| 2025-01-03| 2011 | null | 88   | 517  | 23:59| 89   | 1    | 1    | 534  | Thu  | 929  | 11   | 63   | 5    | 2790 | 10   | 10    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [1366, 5300, 69, 97, 67, null, 94, null, 369, null, 492, 23:36, 22:32, 23:47, 64, 8, 6, 6, 3, 8, 994, null, 379, null, Mon, Sat, Fri, 451, 634, 3, 11, 7, 50, 63, 10, 2772, 21, 47, 59, 10, 45, 15, 39, 16, 34]. Compute the absolute difference between the mean of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the coding minutes was greater than 20 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "b6b9c11fee59fb05e4bd15320ff12e6a6309dc3e6110276637f931a969e43a49",
    "id": "bbeh:buggy_tables:115",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| ERROR| 25   | 19   | 467  | null | 51   | 2    | 4    | 186  | null | 791  | 13   | 46   | 3    | 2974 | 49   | 26    |\n| 2025-01-26| 16744| null | 45   | 343  | 23:49| 25   | ERROR| 3    | 148  | Tue  | null | 15   | 10   | 5    | 2278 | 40   | 59    |\n| 2025-01-25| ERROR| 45   | 96   | 412  | 22:20| 66   | 10   | 4    | null | Wed  | 1453 | 10   | 51   | 2    | 2758 | 22   | 13    |\n| 2025-01-24| 5004 | ERROR| 74   | 479  | 21:57| 20   | null | 6    | 730  | Thu  | 1887 | 2    | ERROR| 1    | 2084 | 23   | 11    |\n| 2025-01-23| null | 19   | 94   | 519  | 21:10| 67   | 9    | null | 284  | Fri  | 1557 | 2    | 34   | 8    | 981  | 23   | 34    |\n| 2025-01-22| null | 27   | 20   | 600  | 21:24| 36   | 5    | 5    | null | Sat  | 1963 | null | 39   | 1    | 800  | 48   | 23    |\n| 2025-01-21| ERROR| 70   | 27   | null | 22:34| 29   | ERROR| 5    | 122  | ERROR| 348  | 4    | 20   | 6    | 2628 | 34   | 14    |\n| 2025-01-20| 19329| 37   | 16   | 549  | 22:31| 72   | 8    | 3    | 929  | Mon  | ERROR| 8    | 53   | 8    | ERROR| null | ERROR |\n| 2025-01-19| 19437| 97   | 27   | ERROR| null | 95   | 9    | 2    | 719  | ERROR| 311  | 14   | 30   | 2    | 2673 | 34   | 57    |\n| 2025-01-18| 2911 | 65   | 42   | 356  | 21:54| 85   | 6    | 7    | 673  | Wed  | 1928 | 12   | 54   | 5    | 1737 | null | 22    |\n| 2025-01-17| 860  | 78   | 18   | 482  | 22:26| 48   | 4    | 8    | 636  | Thu  | 1801 | ERROR| 21   | 3    | 948  | 12   | 45    |\n| 2025-01-16| 2461 | 22   | null | 343  | 23:14| 72   | 10   | 6    | 898  | Fri  | 1293 | 11   | 39   | 2    | 2913 | 19   | 40    |\n| 2025-01-15| 17189| 82   | 18   | 533  | 21:18| 10   | 3    | 6    | 780  | Sat  | 1540 | 10   | 41   | 8    | 1807 | 55   | ERROR |\n| 2025-01-14| 3861 | 95   | 69   | 511  | 21:45| null | 1    | null | 571  | Sun  | 1486 | null | 27   | 4    | 2452 | 50   | ERROR |\n| 2025-01-13| 3576 | 48   | ERROR| 385  | 21:53| 17   | 6    | 2    | ERROR| null | 577  | 15   | ERROR| 10   | 2469 | 40   | 43    |\n| 2025-01-12| null | 71   | 24   | 405  | 23:54| 81   | ERROR| 1    | 763  | Tue  | 855  | 7    | 57   | ERROR| 1043 | 57   | 38    |\n| 2025-01-11| 3985 | ERROR| 27   | 387  | 21:26| ERROR| 10   | 2    | 843  | Wed  | 1781 | 3    | ERROR| 4    | 1413 | 52   | 53    |\n| 2025-01-10| 13607| 91   | 13   | 485  | null | null | 9    | 4    | 952  | Thu  | 457  | 1    | null | 7    | ERROR| 19   | 11    |\n| 2025-01-09| 18142| 32   | 25   | 395  | 21:34| 90   | ERROR| ERROR| 990  | Fri  | 387  | 14   | 36   | 5    | null | 27   | 36    |\n| 2025-01-08| 3419 | 57   | ERROR| 310  | null | 82   | ERROR| 4    | 262  | null | 344  | null | null | 7    | 2584 | 31   | ERROR |\n| 2025-01-07| 7202 | 15   | 22   | 540  | 22:28| 43   | 9    | ERROR| 578  | Sun  | 1799 | ERROR| 8    | 6    | null | 32   | 52    |\n| 2025-01-06| 13528| ERROR| 42   | ERROR| 22:39| 50   | 7    | 2    | 137  | null | 1979 | ERROR| 8    | 9    | 2664 | 29   | 25    |\n| 2025-01-05| 15728| 31   | 10   | 572  | 22:18| 64   | 1    | ERROR| 462  | Tue  | 1949 | 15   | null | null | ERROR| 15   | 55    |\n| 2025-01-04| null | 15   | 97   | null | 23:47| 38   | ERROR| 2    | 796  | ERROR| 1569 | 8    | 57   | ERROR| 2757 | null | 44    |\n| 2025-01-03| 1586 | 76   | null | 353  | 22:48| 24   | null | null | 504  | Thu  | 350  | 1    | 51   | 7    | 2181 | 28   | 39    |\n| 2025-01-02| ERROR| 21   | 15   | null | ERROR| ERROR| 6    | ERROR| 407  | null | 1403 | 1    | null | 4    | 853  | 18   | 15    |\n| 2025-01-01| null | 85   | 65   | 416  | 23:30| 40   | null | 5    | 774  | Sat  | 877  | 3    | 24   | 8    | 745  | 51   | 38    |\n| 2024-12-31| 7596 | 71   | ERROR| 317  | 23:56| 56   | 3    | null | 373  | Sun  | 1359 | 4    | 22   | 3    | ERROR| 31   | 60    |\n| 2024-12-30| 15661| 73   | 66   | 357  | 21:46| 96   | 8    | ERROR| 949  | Mon  | 1393 | 7    | 21   | 8    | 2523 | ERROR| 54    |\n| 2024-12-29| ERROR| ERROR| 86   | 453  | 21:55| 49   | 3    | 2    | 478  | Tue  | 366  | 4    | 44   | 2    | 2935 | 49   | 29    |\n| 2024-12-28| 10904| null | 66   | ERROR| 22:28| null | ERROR| ERROR| 461  | Wed  | 1995 | 1    | 36   | null | 1044 | 17   | 54    |\n| 2024-12-27| 13730| 32   | 46   | ERROR| null | 24   | 7    | ERROR| 737  | Thu  | ERROR| 14   | 30   | 10   | 2489 | 60   | 21    |\n| 2024-12-26| ERROR| ERROR| 65   | 548  | 21:59| 15   | 1    | 7    | 823  | ERROR| 849  | null | 39   | 9    | 1354 | 33   | 11    |\n| 2024-12-25| ERROR| 97   | null | 308  | null | 69   | 5    | 10   | 573  | Sat  | 1301 | 10   | 30   | 7    | 1592 | 15   | 30    |\n| 2024-12-24| 15787| ERROR| 73   | 474  | 21:20| 45   | null | 7    | null | Sun  | 870  | ERROR| 61   | null | 876  | ERROR| null  |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [5768, 19526, 4970, 8448, 6602, 5481, 1512, 68, 41, 72, 37, 70, null, 20, null, 18, 483, 336, 458, 537, 22:44, 55, 90, 4, 2, null, 7, 5, 6, null, null, 6, 7, 5, 2, 9, 10, null, Sun, Tue, Wed, Fri, 410, 465, 12, 3, 2, 7, 29, null, 24, 5, 3, 1595, 1029, 1944, 2686, 52, 29, 12, 13, 15, 57]. Compute the absolute difference between the median of column study_minutes and column coding_minutes, only looking at the days where the number of calories consumed was less than 1800 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "c7e72a5af72e1b326e7366de614632bfa7e940e0eb7a02e138ae5dba6c77f13c",
    "id": "bbeh:buggy_tables:117",
    "request": "I have a table with 28 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, null, null, 96, 558, 21:51, 59, 4, 8, 728, null, 1318, 3, 0, 4, 1086, 25, 13, 6, 2025-01-26, 17614, 10, 99, 388, 21:14, 75, 9, 4, null, null, 821, 8, null, 2, 1605, 16, 28, -5, 10, 2025-01-25, 17846, 47, 58, 304, 22:44, 70, 6, 3, 154, Wed, 1934, 3, 4, 7, 2502, 13, 60, 10, 0, -9, 2025-01-24, 19080, 39, 30, 522, null, 74, 1, 7, 666, Thu, 830, 1, 25, 9, 1961, 36, 16, 2, 1, -8, -1, 2025-01-23, 14928, 95, 75, 548, 23:49, 99, 1, 10, 495, Fri, 479, 9, null, 9, 1453, 27, 16, -6, -1, 1, 9, 1, 2025-01-22, 14585, 96, 57, 329, 23:47, 13, 2, 6, 954, Sat, 359, 6, 64, 5, 2839, 46, 19, 1, -2, 2, -6, -2, 1, 2025-01-21, 5367, 67, 79, 300, 23:11, 30, 9, 6, 504, Sun, 1893, null, 47, 3, 2446, 58, 28, 2, -9, -3, -4, -9, -7, 9, 2025-01-20, 13863, 92, 49, 414, 21:28, 83, 6, 4, 782, Mon, 516, 9, 6, 7, 2365, 59, 26, -2, 9, 1, 9, -9, 5, 5, 5, 2025-01-19, 15259, 10, 73, 493, 23:45, 73, 6, 10, 969, Tue, 573, 5, 31, 5, null, 43, null, 4, -3, 8, 6, 2, -1, -1, -9, 7, 2025-01-18, 16208, null, null, 388, 21:25, 93, 5, 4, 570, Wed, 326, null, 37, 8, 1600, 10, 44, 9, -1, -4, 5, 7, 1, 4, 4, 6, 5, 2025-01-17, 1104, null, 18, 501, 23:38, null, null, 7, 302, Thu, 1715, 3, 63, 3, 1558, null, 45, -9, -6, 10, -4, -10, -2, -8, 8, 0, 4, 6, 2025-01-16, 1974, 47, 54, 375, 22:30, 75, 4, 3, 383, null, 1733, 1, 51, 10, 2521, 44, 44, -10, 10, -4, -4, 10, -6, -2, -7, -2, 10, -8, -4, 2025-01-15, 19016, null, 48, 593, 21:34, 82, 5, 3, null, Sat, 368, 2, 5, 5, 995, 50, 40, -9, -2, 2, -7, 1, -9, 0, -3, 7, 4, 1, 9, -1, 2025-01-14, 2061, 79, 60, 417, 23:30, 35, 1, 2, 735, null, 1963, 12, 37, 3, 1537, 16, 58, 4, -10, 4, -2, -6, 0, -1, -2, 0, -8, 0, -9, 7, -5, 2025-01-13, 4857, 63, 72, 544, 23:47, 83, 9, 10, 710, Mon, 379, 5, 15, null, 1938, null, 44, -7, -1, -9, -4, 2, -4, 0, -6, 2, 7, 10, 3, 7, 5, 5, 2025-01-12, 925, 39, 38, 597, 22:36, 24, null, 8, 646, Tue, 1213, 12, 42, 1, 2307, 11, 31, 1, -7, 2, 3, -1, 5, 7, 8, 4, -9, 8, 4, 6, -4, 2, 2, 2025-01-11, 15950, 73, 73, null, 23:41, 71, 9, 5, 549, Wed, 757, 14, 4, 9, 1704, 48, 43, 7, 1, 9, -2, -2, 9, 10, 4, -4, 5, -4, -1, 7, -7, 1, 7, 8, 2025-01-10, 16618, 35, 23, 519, null, null, 6, 7, 153, Thu, null, null, 11, 10, 1672, 49, 39, 5, 3, 2, -5, 6, -5, -10, -7, 8, 8, 5, 4, -4, 9, 10, 10, -10, -7, 2025-01-09, 5201, 54, 33, 569, 23:23, null, 9, 1, 764, Fri, 1398, 8, 25, 10, 1576, 10, 49, 1, 3, 0, -10, -5, 5, 9, -7, 9, 0, 1, 10, -7, 2, 4, 10, 10, 9, 0, 2025-01-08, 7831, 88, 37, 305, 22:27, 94, 1, 7, 415, Sat, 448, null, null, 3, 2269, null, null, -1, 8, -5, 3, -6, 9, -6, -4, -8, -9, -9, -8, -3, -7, 2, 7, 0, -6, 9, 6, 2025-01-07, 6481, 98, null, 408, 21:55, 36, 1, 1, 450, Sun, 1795, 3, 20, 10, 2181, 51, 53, -9, 2, 0, 3, -5, 5, 1, 8, -7, -1, -2, -7, -2, -6, 7, 4, -4, 4, 1, -9, 9, 2025-01-06, 5305, 82, 13, 324, 21:18, null, 6, 1, 409, null, 1792, 4, 31, null, 2650, null, 39, -6, -8, -10, 6, 5, 8, 5, -8, -9, -5, -9, 0, 0, -7, -10, -6, -10, 7, -2, 2, 1, -2, 2025-01-05, 15709, 74, 90, 372, 22:27, 58, 4, 9, 601, null, 1475, 14, 31, 1, 1972, 11, null, 6, -1, -1, 9, -3, -7, 2, -7, 3, 7, -2, 6, 1, -10, 9, 2, 6, -1, 1, -2, -8, 8, 2, 2025-01-04, 3495, 19, 83, null, 21:23, 11, 2, 8, 222, Wed, 328, 6, 54, 3, 2303, 15, 41, 6, 6, 9, -3, 5, -4, -9, -5, 6, 3, -7, -9, 7, 2, 10, -10, -7, 7, -3, -6, -1, 2, -10, -9, 2025-01-03, null, 10, 45, 562, 21:52, 44, 8, 6, 264, Thu, 1415, 8, 1, 5, 2344, 34, 16, 0, 5, 5, 7, 4, -8, -3, 4, -3, 0, -7, 6, 7, -8, 7, 5, -1, -9, -7, -10, 0, 6, 9, 6, -6, 2025-01-02, null, 63, 61, null, 23:43, 16, 5, 6, 788, Fri, null, 11, 32, null, 2787, 52, 41, -4, 5, 3, -6, -9, -6, 1, -2, 9, -5, 6, 1, 1, 2, -5, -2, 3, -5, -2, -8, 3, -10, -2, 3, 0, -5, 2025-01-01, 18157, 34, 98, 303, null, 95, 3, 2, 986, Sat, 1530, 5, 34, 7, 1926, 22, 43, -6, 10, 0, 7, -8, -6, 2, 7, -9, 3, -5, 5, -5, -7, 2, 4, -1, 6, 1, -6, -10, 6, -3, 5, -5, -6, 8].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the median of column music_listening_minutes and column sleep_minutes, only looking at the days where the music listening minutes was greater than 25 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "fb67390c861c2273a2153b3d45413afa74c4ba4a76d9ec974ddb62640795549e",
    "id": "bbeh:buggy_tables:122",
    "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 16862| 14   | 44   | 380  | 22:23| 65   | 4    | null | 591  | ERROR| 1455 | 6    | 42   | 2    | 2205 | 12   | ERROR |\n| 2025-01-26| 4009 | null | 67   | 355  | 21:13| null | 10   | 3    | 956  | Tue  | 1583 | 9    | 58   | 8    | 1297 | 51   | 30    |\n| 2025-01-25| 5519 | 16   | 70   | 361  | 23:52| 34   | 4    | 9    | 406  | null | 1261 | 1    | 62   | 7    | 967  | 58   | 10    |\n| ERROR| 6505 | 41   | 21   | 548  | 22:50| 69   | 4    | 8    | 998  | Thu  | null | 14   | 38   | 3    | ERROR| 47   | 41    |\n| 2025-01-23| 14669| 32   | null | 425  | 21:10| ERROR| 7    | ERROR| 549  | Fri  | ERROR| 1    | 57   | 3    | 828  | 53   | 12    |\n| 2025-01-22| 262  | 60   | 86   | 393  | 23:33| 64   | 2    | 4    | null | Sat  | 1390 | 11   | 9    | null | 1346 | 53   | 14    |\n| ERROR| null | 48   | 31   | 420  | null | 72   | 6    | 2    | 259  | null | 897  | 1    | 60   | 3    | 2263 | 53   | 39    |\n| ERROR| 7445 | ERROR| 70   | 566  | 22:33| ERROR| 3    | 8    | ERROR| null | 531  | 1    | null | ERROR| 2038 | 16   | 34    |\n| 2025-01-19| 768  | 30   | 70   | ERROR| 23:45| 38   | 5    | 9    | 443  | null | 722  | 11   | 57   | 3    | 2770 | 52   | 58    |\n| 2025-01-18| 3301 | 16   | 39   | 507  | 21:56| 70   | 8    | 5    | 165  | ERROR| 327  | ERROR| 59   | null | 1773 | 38   | null  |\n| 2025-01-17| 9505 | 74   | 29   | 490  | 23:21| 96   | 7    | null | 648  | Thu  | 1442 | 9    | 31   | 5    | 2916 | 51   | 12    |\n| 2025-01-16| 17735| ERROR| 37   | 469  | 22:24| 27   | 5    | 10   | 793  | Fri  | 1368 | 3    | 20   | 6    | 1604 | 26   | 26    |\n| 2025-01-15| 16614| 24   | 98   | 307  | 21:55| 73   | ERROR| 5    | null | Sat  | 1293 | 7    | 38   | 10   | 624  | 14   | 20    |\n| 2025-01-14| 13570| 36   | 85   | 491  | 21:11| 74   | 2    | ERROR| 556  | Sun  | null | 12   | null | 10   | 701  | null | 56    |\n| 2025-01-13| 12485| 29   | 10   | 361  | null | ERROR| 1    | null | 875  | null | 1564 | ERROR| 48   | 5    | 2962 | 13   | 17    |\n| 2025-01-12| 12080| ERROR| 99   | 340  | null | 62   | null | 6    | 957  | null | ERROR| 15   | 18   | ERROR| 2990 | 19   | 21    |\n| 2025-01-11| 5863 | 66   | 57   | 528  | 21:11| 43   | ERROR| 1    | 771  | Wed  | 734  | 8    | 22   | 9    | 2169 | 30   | 44    |\n| 2025-01-10| 5266 | 86   | 51   | 398  | 23:16| 70   | 8    | 1    | 772  | ERROR| 1238 | ERROR| ERROR| null | 1093 | 21   | 31    |\n| 2025-01-09| 308  | 55   | null | 389  | 22:14| ERROR| 9    | 1    | 256  | Fri  | 820  | 9    | null | 7    | 2737 | 27   | 22    |\n| 2025-01-08| 17086| 46   | ERROR| 315  | 21:26| 47   | 6    | ERROR| 363  | ERROR| 1459 | ERROR| 36   | ERROR| 2001 | 45   | 55    |\n| 2025-01-07| 12972| ERROR| 24   | 586  | 22:40| 41   | 8    | 10   | 674  | Sun  | 1610 | 12   | 57   | 10   | 2639 | null | 32    |\n| ERROR| ERROR| 75   | 36   | 329  | 21:33| 54   | 5    | null | 606  | Mon  | 1986 | 4    | 14   | ERROR| 2695 | 43   | 23    |\n| ERROR| 184  | 14   | 27   | 442  | null | 65   | 10   | 3    | 513  | Tue  | 982  | 2    | 29   | null | 1469 | 48   | 12    |\n| 2025-01-04| ERROR| 62   | 24   | ERROR| 21:47| 12   | null | 8    | 419  | Wed  | 828  | 5    | 21   | 10   | 1367 | ERROR| 46    |\n| 2025-01-03| 541  | null | null | ERROR| 23:17| null | 2    | 7    | 552  | Thu  | 835  | ERROR| 17   | 2    | null | 32   | 45    |\n| 2025-01-02| null | 89   | 42   | 534  | null | null | null | 2    | 276  | ERROR| 1540 | 4    | 35   | 5    | 1676 | 30   | 25    |\n| 2025-01-01| ERROR| null | 92   | 519  | 23:38| 79   | 8    | 3    | ERROR| Sat  | 1669 | 3    | ERROR| 5    | 2013 | 43   | 59    |\n| 2024-12-31| 6001 | 60   | null | 343  | 23:58| null | 5    | 10   | 564  | ERROR| 402  | 15   | 2    | 1    | 2141 | 18   | 39    |\n| 2024-12-30| 1629 | ERROR| 39   | 542  | 23:29| 13   | ERROR| 9    | 454  | null | 774  | 15   | 46   | ERROR| 831  | ERROR| 37    |\n| 2024-12-29| 19153| 56   | 24   | 369  | 21:16| null | ERROR| 1    | 635  | Tue  | 1854 | 7    | 28   | 6    | null | 58   | 15    |\n| 2024-12-28| 15824| 88   | 91   | 566  | ERROR| ERROR| 2    | 5    | 144  | null | 304  | 2    | 43   | 4    | 2916 | 48   | 51    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [null, 24, 2025-01-24, 1488, 28, 9, null, 2025-01-21, 2025-01-20, 67, 79, 295, 5, 462, Wed, 15, null, 5, 3, 15, 3, 23, 548, 1, 10, null, 8, 6, 56, 77, 9, Sat, 11, 1, 63, 2025-01-06, 17536, 3, 2025-01-05, 10570, 301, 55, 520, 12, Fri, null, null, 60, Sun, 30, 9, 8, 29, 6, 23:24, 92]. Compute the absolute difference between the stdev of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the exercise minutes was less than 50 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "075cbd1a22af0dd5a3d0d95c925194ac3ec3c9bffd487e4e1031e65a60fc46a9",
    "id": "bbeh:buggy_tables:123",
    "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 7574, 3866, 17967, 3042, 2756, 19665, 9705, 15520, 315, 11966, 4254, 10344, 5892, 15590, 6984, 8183, 19641, 14701, 9532, 6566, 3883, 2541, 4111, study_minutes, 12, 29, 83, 19, 18, 75, 55, 39, 69, 98, 50, 93, 70, 66, 64, 96, 62, 14, 86, 97, 71, 80, 28, 95, exercise_minutes, 70, 15, 32, 76, 50, 24, 60, 53, 42, 43, 55, 13, 94, 44, 82, 49, 27, 18, 55, 64, 69, 54, 22, sleep_minutes, 396, 474, 465, 531, 401, 578, 375, 345, 382, 335, 584, 423, 407, 587, 401, 379, 467, 589, 389, 306, 583, 533, 464, 557, bed_time, 23:41, 22:28, 21:25, 21:27, 21:48, 22:20, 22:50, 21:28, 21:40, 21:31, 23:11, 21:55, 23:30, 21:31, 23:34, 23:58, 22:47, 21:20, 23:49, 22:40, num_messages, 35, 64, 84, 46, 72, 48, 77, 72, 96, 13, 40, 62, 16, 97, 63, 34, 69, 10, 64, 47, 43, 66, 10, num_emails, 3, 10, 9, 5, 6, 10, 2, 8, 3, 10, 6, 9, 8, 7, 7, 10, 3, 4, 6, 4, 9, 6, 3, 2, num_calls, 1, 7, 3, 1, 5, 9, 9, 9, 4, 6, 10, 6, 8, 1, 8, 4, 10, 6, 8, 9, 3, 5, 1, calories_burned, 733, 817, 287, 632, 754, 175, 341, 109, 206, 823, 362, 610, 116, 409, 278, 684, 808, 661, 535, 558, 906, 583, weekday, Tue, Wed, Thu, Fri, Sat, Mon, Tue, Wed, Thu, Fri, Sun, Mon, Tue, Wed, Thu, Sat, Sun, Tue, Wed, Thu, calories_consumed, 1638, 1898, 1304, 809, 1459, 786, 1326, 603, 1722, 678, 1435, 1591, 480, 516, 1383, 559, 674, 910, 601, 1951, 886, 1742, num_meetings, 13, 12, 4, 8, 4, 7, 13, 7, 10, 15, 6, 9, 3, 9, 10, 15, 9, 3, 10, 7, coding_minutes, 7, 42, 58, 61, 56, 18, 11, 15, 64, 63, 64, 24, 20, 22, 40, 0, 56, 21, 12, 43, 13, num_tasks_completed, 5, 2, 4, 3, 10, 3, 3, 4, 8, 1, 10, 5, 10, 4, 7, 10, 3, 4, 9, 6, 10, 2, 2, water_intake_ml, 2608, 1993, 2354, 618, 2407, 1720, 2014, 1548, 1001, 792, 726, 2214, 2222, 2603, 2890, 1878, 875, 2947, 1803, 1407, 2338, 1868, phone_screen_time_minutes, 54, 44, 35, 25, 48, 30, 37, 56, 30, 22, 32, 23, 25, 52, 40, 47, 56, 55, 51, 19, 21, 37, 12, 10, music_listening_minutes, 53, 38, 30, 27, 43, 30, 36, 11, 14, 28, 51, 50, 18, 24, 17, 56, 10, 30, 34, 55, 50, 51].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(4, 3), (12, 16), (20, 17), (9, 5), (11, 14), (24, 5), (10, 12), (2, 8), (6, 11), (7, 10), (20, 13), (7, 13), (6, 17), (12, 12), (23, 12), (22, 10), (3, 9), (12, 15), (19, 5), (8, 5), (10, 11), (9, 13), (2, 1), (25, 9), (24, 7), (13, 10), (6, 13), (18, 6), (20, 9), (7, 15), (23, 5), (20, 12), (18, 15), (23, 8), (19, 4), (3, 17), (9, 6), (19, 10), (11, 12), (13, 3), (1, 10), (18, 2), (18, 11), (21, 1), (7, 14)]. Compute the absolute difference between the sum of column music_listening_minutes and column exercise_minutes, only looking at the days where the music listening minutes was greater than 25 and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "c8b5e10253317af707939383f327486648dc6c7bb32ad72b4ee70a35bce0f489",
    "id": "bbeh:buggy_tables:127",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-24| 10268| null | 77   | 540  | 23:57| 24   | 9    | null | 399  | Thu  | 1581 | 9    | 46   | 7    | 2181 | 37   | 34    |\n| 2025-01-27| 15984| 99   | 48   | 373  | 22:22| 38   | 10   | 2    | 442  | Fri  | 747  | 13   | 52   | 10   | 2722 | 40   | 52    |\n| 2025-01-26| 3555 | 31   | 85   | 432  | 22:17| 76   | 2    | 4    | null | Sat  | 755  | 6    | 38   | 5    | 1089 | 42   | null  |\n| 2025-01-25| 16331| 53   | 40   | null | null | null | 9    | 5    | 954  | Sun  | 1744 | null | 15   | 7    | 526  | 45   | 24    |\n| 2025-01-24| null | 68   | 48   | 400  | 21:35| 59   | 1    | 7    | 282  | Mon  | 1615 | 11   | 29   | 8    | 2865 | 14   | 17    |\n| 2025-01-23| 2749 | 65   | 80   | 341  | 23:39| null | 9    | null | 837  | Tue  | 1526 | 2    | 34   | 10   | 1312 | 47   | null  |\n| 2025-01-22| 14526| 36   | 84   | 314  | 21:54| 98   | 3    | 10   | 928  | Wed  | 979  | 3    | 41   | 8    | 1584 | null | 37    |\n| 2025-01-21| 10580| 10   | 56   | 549  | 23:55| 57   | null | 8    | null | null | 1766 | 15   | 48   | null | null | 31   | 48    |\n| 2025-01-20| 12537| 63   | 40   | 462  | 22:34| 95   | 9    | null | 689  | Fri  | 1072 | 6    | null | 8    | 2737 | 54   | null  |\n| 2025-01-19| null | null | 43   | 518  | 21:59| 95   | 10   | 3    | 664  | Sat  | 1344 | 15   | null | 5    | 2441 | 27   | 24    |\n| 2025-01-18| 18631| 37   | 32   | 370  | 23:59| 87   | 1    | 3    | 391  | Sun  | 1643 | 12   | 61   | 10   | 1369 | 25   | 37    |\n| 2025-01-17| 14906| null | 71   | 387  | null | null | 5    | 6    | 162  | null | null | 10   | 22   | 3    | 1892 | 18   | 18    |\n| 2025-01-16| 11056| null | null | 389  | 23:52| 36   | 6    | 6    | 456  | Tue  | 1397 | 15   | 14   | 8    | null | 29   | 29    |\n| 2025-01-15| 7302 | 94   | 49   | 555  | 23:34| 33   | 5    | 6    | null | Wed  | 711  | null | 41   | 8    | 604  | 47   | 20    |\n| 2025-01-14| 1055 | 50   | 77   | 308  | null | 87   | 2    | 10   | 482  | Thu  | 615  | 6    | 26   | 1    | 2785 | 48   | null  |\n| 2025-01-13| 14036| 66   | 75   | 318  | 23:19| 96   | 1    | 4    | 743  | Fri  | 1921 | 8    | null | null | 1042 | 30   | 28    |\n| 2025-01-12| 8665 | 92   | 52   | 496  | 22:25| 61   | 5    | 8    | 711  | Sat  | 673  | 9    | 55   | 5    | 2269 | 32   | 36    |\n| 2025-01-11| 18346| 90   | 63   | 316  | 22:54| 94   | 8    | 3    | 535  | Sun  | 1567 | 12   | 56   | 2    | 884  | 41   | 56    |\n| 2025-01-10| 9370 | 50   | 66   | null | 22:47| 16   | 8    | 5    | 353  | Mon  | 1859 | 15   | 41   | 1    | 2553 | 50   | 53    |\n| 2025-01-09| 17414| 29   | 24   | null | 21:55| 21   | 1    | 4    | 396  | Tue  | 1084 | 2    | 50   | null | null | 41   | 39    |\n| 2025-01-08| 10769| 98   | 54   | 546  | 21:15| 88   | 10   | 9    | 112  | Wed  | 1910 | 6    | 9    | 9    | 1544 | 60   | 59    |\n| 2025-01-07| 1787 | 67   | null | 426  | 22:21| 91   | 8    | 1    | null | Thu  | 882  | 12   | 45   | 6    | 1890 | 23   | 37    |\n| 2025-01-06| 955  | 92   | null | null | 22:11| 34   | 8    | 5    | 350  | Fri  | 869  | 12   | 42   | 2    | 2634 | 35   | 38    |\n| 2025-01-05| 12243| 92   | 38   | 577  | 21:20| 66   | 5    | 6    | 385  | Sat  | 467  | 8    | 38   | null | 2146 | 43   | 45    |\n| 2025-01-04| 8130 | 23   | 30   | 371  | 23:53| 38   | 9    | 1    | 969  | Sun  | null | 14   | 55   | 1    | 1053 | 23   | 43    |\n| 2025-01-03| 15572| 19   | 63   | 380  | 21:22| null | 1    | 10   | null | Mon  | 855  | 4    | 53   | 5    | 1202 | 37   | 51    |\n| 2025-01-02| 19520| 49   | 20   | 381  | 22:28| 79   | 10   | 6    | 317  | Tue  | 998  | 4    | 15   | 8    | 879  | 47   | 59    |\n| 2025-01-01| 843  | 96   | 38   | 399  | null | 38   | 8    | 9    | 991  | Wed  | 1253 | 9    | 60   | 8    | 2941 | 22   | 27    |\n| 2024-12-31| 8151 | 50   | 96   | 357  | 21:16| 16   | 6    | 9    | 892  | Thu  | 681  | 9    | 26   | 5    | null | 29   | 27    |\n| 2024-12-30| 4037 | null | 34   | 549  | 23:23| 42   | 10   | 10   | 701  | Fri  | null | 9    | 60   | 8    | 2320 | 11   | 38    |\n| 2024-12-29| 18926| 24   | 30   | 477  | 22:26| null | 1    | 1    | 605  | Sat  | 351  | 11   | 21   | 3    | 1161 | 21   | 46    |\n| 2024-12-28| 17633| 82   | 10   | 551  | 21:29| 53   | 10   | 10   | 648  | null | 1830 | null | 43   | 10   | 2232 | 17   | 41    |\n| 2024-12-27| 15930| 20   | 13   | 521  | 22:57| 39   | 6    | null | 316  | null | 1011 | 12   | 13   | 8    | 2089 | 37   | 10    |\n| 2024-12-26| 14025| 66   | 39   | 509  | 22:40| 23   | null | 3    | 543  | Tue  | null | 14   | 3    | 10   | 772  | 56   | 22    |\n| 2024-12-25| 19733| 20   | 70   | null | 22:42| 30   | 1    | 1    | 328  | Wed  | 1546 | 9    | 35   | null | 573  | 11   | 28    |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the mean of column sleep_minutes and column study_minutes, only looking at the days where the coding minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "394cd6ac3d0994e4afd2e241d15285009fad85ea0bbcbffe8489fbc6b7987459",
    "id": "bbeh:buggy_tables:128",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 7390, null, 47, 388, 22:36, 64, null, 2, 370, Mon, 1238, 12, 12, 3, 2135, 12, 11, 10, 2025-01-26, 10747, 86, 44, 316, 23:14, 40, null, 10, 428, Tue, 1004, 15, 20, 10, 1771, null, 31, 10, -10, 2025-01-25, 16267, 76, 76, 524, null, 92, 8, 5, 336, Wed, 1594, 13, 57, 7, null, 39, 56, -1, -1, -10, 2025-01-24, 4099, 17, 73, 507, 21:51, 79, 5, 10, 145, Thu, 1347, 9, 34, 8, 699, 18, null, 5, -3, 7, -8, 2025-01-23, 8571, null, 12, 483, 23:57, 42, 7, 9, 351, Fri, 613, 9, 19, 10, 1287, 44, 17, -8, 2, 2, -8, -4, 2025-01-22, null, null, 87, 576, 21:28, 71, 3, 1, null, Sat, 910, 9, 55, 8, 1635, 59, 26, -6, -4, -3, 8, -10, 1, 2025-01-21, 15557, null, 16, 304, 23:13, 30, 5, 10, 414, null, 1323, 2, 8, null, 2841, 55, 31, 1, -1, -6, 6, 9, -6, -7, 2025-01-20, 18355, 31, 29, 478, 21:10, 20, 6, 5, 399, null, 540, 7, null, 9, 1168, 21, 12, -2, -1, 7, -8, 5, 6, 3, 3, 2025-01-19, 7801, 63, 63, 537, 21:56, 16, null, 2, 621, Tue, 1499, 12, 34, 8, 624, 27, 59, 10, 6, 7, 4, 2, 3, 2, -10, -4, 2025-01-18, 3871, null, 79, 385, 23:31, 89, 7, 9, 265, null, 1809, null, 61, 8, 705, 54, 13, 9, 5, -5, 5, -3, 7, 2, 8, -7, -10, 2025-01-17, 19968, 31, null, 544, 23:19, 73, 6, null, null, Thu, 1972, null, 44, 6, 755, 17, 12, 5, -1, 1, -7, -2, -10, -10, -1, 9, -4, -4, 2025-01-16, 4978, null, 83, 552, 21:37, 55, 8, 8, 579, Fri, 818, 5, 41, null, 728, 53, 27, 5, 9, -6, -9, 2, 2, -9, 5, -6, -3, 6, -4, 2025-01-15, 10319, 40, null, 467, 22:31, 19, 9, null, 901, Sat, 416, 3, 14, 7, null, 43, null, -10, -5, -8, 9, 3, 7, 5, -3, -3, -9, -10, 10, 9, 2025-01-14, 10975, 17, 98, 556, 22:40, 49, 5, 8, 661, Sun, 1636, null, 34, 3, 1118, 21, 59, 0, 10, 4, 4, 4, 9, 0, 2, -3, 1, -9, -8, 5, -10, 2025-01-13, 351, 61, 92, null, 23:39, 77, null, 1, 632, Mon, 1655, 13, 51, 2, 1878, 52, 57, 3, 8, -1, -2, -3, 8, -10, -8, 6, -10, -10, -3, 4, -6, -8, 2025-01-12, 11891, 18, 59, 320, 21:46, 88, 10, 4, 712, Tue, 364, 2, 1, 1, 511, 43, 40, -6, -10, -7, -1, 6, -9, -5, 0, -2, 3, 9, 9, -9, 1, 10, -4, 2025-01-11, 17982, 25, null, 445, 22:23, 41, 9, null, 854, Wed, 1082, 8, 62, 1, 2699, null, 12, 1, -2, 6, 9, -4, -1, -3, 3, 5, -5, 0, -6, 8, 0, 1, -10, -3, 2025-01-10, 4763, 59, 22, 395, 21:55, 59, 10, 10, 268, Thu, 1605, 12, 59, 1, 1492, 58, 57, 1, -8, -7, 1, 7, 3, -9, 4, -4, 6, -9, 3, 9, 1, 6, -1, -6, 0, 2025-01-09, 2052, 56, 51, 451, 22:11, 12, 2, null, 289, Fri, 328, 11, null, 10, 2326, 47, 16, 7, 3, -10, 7, -5, -9, 4, -8, -5, -10, -4, 4, 7, -5, 8, 2, -8, -3, -6, 2025-01-08, 17034, 65, 35, 380, 22:29, 100, 1, 4, 876, Sat, 1008, 12, 35, 4, null, 32, 36, 4, 10, 6, 0, 8, -9, 2, 4, -8, -4, -8, -1, -5, 2, 9, -1, 7, -4, -10, 4, 2025-01-07, 348, 54, 58, 480, 22:22, null, null, 7, 176, null, 1631, null, 58, 4, 552, 31, 34, -10, 9, 4, 0, 8, -7, -10, 10, -9, -5, -4, 4, -2, 5, -10, -9, -1, 4, -7, 1, -7, 2025-01-06, 4363, 75, 36, 337, 21:36, 30, 1, 9, 847, null, 1217, 7, 18, 1, 1194, 54, 50, 1, 7, 10, 3, 9, 5, -10, -5, 3, 4, -7, -5, 9, -6, -9, 10, 6, 2, 3, 9, -6, 3, 2025-01-05, 5787, 69, 66, 381, 22:39, null, 7, 4, 497, Tue, 1126, 15, 41, 6, 1788, 32, 14, 2, -4, 4, -8, 7, -5, 6, -4, 1, 7, -9, 3, 2, -9, 6, 2, -3, -8, -6, 2, -4, -6, -3, 2025-01-04, 7397, 96, 61, 349, 21:24, 48, 10, 9, 228, Wed, 1788, null, 40, 3, null, 20, 59, -5, 0, -1, 9, -3, 9, -9, 3, 6, -8, 3, 0, 3, 8, 7, 3, -5, -2, 3, -6, -10, -1, -10, 1, 2025-01-03, 19310, 25, 23, 388, 21:12, 49, 4, null, 912, Thu, 1700, 13, 53, 5, 2481, 36, 44, -4, -5, -7, 7, -1, 0, -8, 1, 3, 9, -2, 10, -1, 5, 8, -7, -4, -4, -1, -6, 10, 0, -10, 10, -6, 2025-01-02, 1267, 28, 14, 386, null, 67, 5, 2, 185, Fri, 1916, 12, 8, null, 1741, 58, 60, -4, 0, 5, -9, 6, -5, -8, 4, 3, -1, 3, -10, 5, -1, -3, 2, -10, -2, 2, 6, 5, 6, -6, -9, -7, -6, 2025-01-01, 669, 91, null, 423, null, 86, 9, 2, 344, null, 1055, 14, 0, 1, 2350, 22, 27, -9, -8, 6, -9, -10, -5, 4, 4, -3, -2, 9, 2, 9, 1, 7, -4, 5, 5, -5, -5, 6, 5, -8, -8, 9, -10, 3, 2024-12-31, 12650, 48, 30, 337, null, 47, 6, 3, 934, Sun, 1140, 2, 64, 4, null, 39, 43, -10, 6, 1, 7, -5, 4, -1, -1, -2, 9, -9, -9, -5, 6, -5, -4, 3, 0, 2, 5, 4, 1, 7, 9, -4, 0, -7, 10, 2024-12-30, 5370, 64, 12, 519, 22:50, 57, 1, 9, 756, null, 1153, 12, 17, 8, 1958, 22, 44, 1, 0, -7, -10, -7, 6, 1, 4, -5, -6, 3, 9, -9, 5, 5, -2, -6, 0, -6, 6, 10, -4, 3, 5, -2, -4, -5, -4, -4, 2024-12-29, 2878, 29, 99, 371, 21:36, 45, 2, 8, 892, Tue, null, 9, 19, 9, 2060, 45, 38, -10, 5, 4, -7, 7, -7, 6, 9, 0, -1, 10, -10, -6, -4, 10, -10, 1, 3, 7, 9, 6, -10, -1, 4, 1, -10, 2, 2, 4, -9, 2024-12-28, 18076, 58, 42, 455, 22:30, 26, 1, 5, 202, Wed, 1094, 2, 33, 6, 2509, 17, 29, -8, 8, -4, -7, -6, 3, 4, -6, -2, 3, 7, 2, 2, 5, -1, -8, -8, 2, -9, 7, -5, 2, -6, -7, -6, -8, 3, -9, 6, 8, 0, 2024-12-27, 13307, 52, 30, 487, 22:50, 15, null, null, null, Thu, 1298, 10, 51, 5, 1034, 17, 60, -4, 9, -8, 9, -10, 0, 8, -4, 0, 8, -6, 0, 7, -9, -6, -3, -9, -9, 4, 6, 1, 6, -4, 2, 10, 3, -6, -3, -5, -1, 0, 5, 2024-12-26, 7442, 80, 25, 422, null, 44, 1, 4, 321, Fri, 625, 4, 28, 9, 1773, 23, 32, -8, -8, 8, 6, -2, 6, 5, -6, 7, 9, 6, 4, 3, -6, 7, 0, 10, 9, -5, -3, 10, 1, -6, 0, 5, 10, 2, 6, 3, -3, 7, 3, 8, 2024-12-25, 16267, 81, 18, 532, 22:23, 70, 7, 2, 945, Sat, 952, 3, 2, 8, 2281, null, 46, 5, -10, 8, 10, 7, 5, -9, -6, 4, -6, 4, 4, -5, -4, -2, 6, -2, -9, 1, 8, 9, 2, -1, -4, 4, 7, 7, -9, -7, 9, -8, 9, 1, -4, 2024-12-24, 15527, 48, 89, 392, 22:41, 53, 7, 9, null, Sun, 1010, 5, 1, 6, 2589, 38, 18, 0, -1, -5, 4, -8, -9, 7, -2, 4, -4, -2, -8, -8, 3, -5, 2, 0, 8, 1, 1, 3, -3, 4, -9, 2, -7, 1, -1, 0, 5, 0, -9, -6, 6, 3].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the median of column study_minutes and column exercise_minutes, only looking at the days where the exercise minutes was less than 50 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "e9bdf3637d9adbb2e9d85da1e0c74d73c674899213fc4c2e8231cbb832f0e01d",
    "id": "bbeh:buggy_tables:133",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| ERROR| 60   | ERROR| 468  | ERROR| 14   | 2    | 7    | null | null | 897  | 1    | 51   | 2    | 2721 | 46   | 35    |\n| 2025-01-26| 10751| 22   | 30   | 517  | 23:44| 10   | 9    | 8    | 758  | Tue  | 1609 | 12   | ERROR| 7    | 1317 | 45   | ERROR |\n| 2025-01-25| 18561| 93   | 65   | 499  | 22:15| ERROR| 3    | 7    | 427  | null | 808  | ERROR| 0    | 3    | null | 29   | 21    |\n| 2025-01-24| 15703| 22   | 88   | 356  | 21:15| 49   | 4    | 2    | 681  | Thu  | 314  | 6    | null | ERROR| 1895 | 22   | ERROR |\n| 2025-01-23| ERROR| 81   | 12   | null | 23:38| null | 4    | 2    | 594  | Fri  | 1686 | 7    | 20   | null | 1113 | 10   | ERROR |\n| 2025-01-22| 9063 | 22   | 41   | ERROR| 21:24| 43   | 4    | null | ERROR| Sat  | 822  | 3    | 6    | 8    | 2944 | 49   | 56    |\n| 2025-01-21| 17255| 36   | 88   | null | ERROR| 32   | ERROR| 9    | 822  | Sun  | ERROR| 12   | 56   | 6    | 1958 | ERROR| 38    |\n| ERROR| ERROR| 64   | 65   | null | 21:35| 10   | 3    | ERROR| 586  | null | ERROR| 10   | 1    | 4    | 1292 | null | 32    |\n| 2025-01-19| 11333| ERROR| 78   | 529  | 23:58| 45   | 2    | 9    | 518  | Tue  | 310  | 15   | 15   | null | 2282 | 52   | 37    |\n| 2025-01-18| null | 42   | 83   | 572  | 22:39| null | 2    | 9    | null | Wed  | 561  | 15   | 36   | null | 1819 | 20   | 48    |\n| 2025-01-17| 4661 | 60   | 85   | 345  | 23:25| null | 2    | 5    | 869  | Thu  | 1409 | 2    | null | 3    | 2702 | 41   | 32    |\n| 2025-01-16| 8506 | 47   | 97   | 404  | 22:39| 98   | 3    | 4    | ERROR| Fri  | ERROR| 11   | 12   | 3    | 2218 | 36   | 26    |\n| 2025-01-15| 5056 | 22   | 49   | 361  | null | null | 10   | 5    | 692  | Sat  | 1800 | 15   | 37   | 7    | 851  | 47   | 16    |\n| 2025-01-14| 318  | 25   | 63   | 391  | null | 86   | ERROR| ERROR| 218  | Sun  | 905  | 10   | 60   | 3    | 2643 | 22   | 40    |\n| 2025-01-13| 2739 | 68   | 64   | 444  | ERROR| ERROR| 5    | 9    | null | null | 1379 | null | ERROR| 2    | 1454 | 42   | 48    |\n| 2025-01-12| 11934| 32   | ERROR| 440  | 23:20| 19   | 10   | 8    | 486  | Tue  | 1146 | 8    | 60   | 9    | 1385 | 50   | 32    |\n| 2025-01-11| 19312| ERROR| 31   | 300  | ERROR| 96   | ERROR| null | 150  | null | ERROR| null | ERROR| ERROR| 888  | null | 12    |\n| 2025-01-10| ERROR| null | 18   | 489  | 22:50| 29   | 5    | ERROR| 690  | Thu  | 1779 | 8    | 25   | 9    | 1112 | 20   | null  |\n| 2025-01-09| 15010| 58   | 72   | 300  | 22:50| 41   | null | 6    | 325  | Fri  | ERROR| ERROR| 43   | 8    | 1678 | 32   | 55    |\n| 2025-01-08| 5698 | 90   | 91   | ERROR| null | ERROR| ERROR| 9    | 661  | Sat  | 1074 | 5    | 16   | 8    | 2641 | 58   | 37    |\n| 2025-01-07| 14521| 67   | 78   | 303  | 22:32| 54   | 5    | 4    | 607  | Sun  | 604  | 1    | 15   | 5    | 1002 | 39   | 26    |\n| 2025-01-06| 2446 | 57   | 74   | ERROR| null | 78   | 4    | 5    | null | null | 858  | 14   | 25   | 10   | 2798 | 40   | 22    |\n| 2025-01-05| 16795| 70   | 46   | null | 21:34| ERROR| 8    | 7    | 212  | Tue  | 1675 | 6    | 26   | ERROR| 2890 | 52   | 34    |\n| 2025-01-04| 17145| 16   | 88   | 508  | 21:19| 26   | null | 7    | 398  | Wed  | 537  | 5    | 45   | null | 1184 | 11   | 33    |\n| 2025-01-03| ERROR| null | 87   | 375  | 23:23| null | 5    | 10   | 941  | Thu  | ERROR| 9    | 1    | 7    | 504  | 54   | 44    |\n| 2025-01-02| 2467 | null | null | 530  | 21:23| 78   | 9    | 4    | 945  | Fri  | 1228 | 13   | 32   | 9    | 733  | 25   | 17    |\n| 2025-01-01| 18484| 75   | 51   | 470  | 23:31| 95   | 10   | 1    | null | Sat  | 1891 | null | 62   | 2    | 2735 | null | 37    |\n| 2024-12-31| 18955| 43   | 20   | 428  | ERROR| 86   | 8    | ERROR| 583  | Sun  | 1768 | 13   | 23   | ERROR| 1477 | 32   | 15    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [2117, 64, 22:33, 11, 42, null, 2, 4, 48, 10454, 15, 535, 459, 22:13, 5, 1580, null, 2025-01-20, 16782, 4, 661, 23, 560, 1837, null, 3, 22:23, 35, null, 93, 83, 23:51, 8, 1227, 0, 6, 2759, 9, 494, 11, 306, 82, 3, 542, 78, 8, 5493, 1112, 21:38, 10, 2]. Compute the absolute difference between the sum of column exercise_minutes and column phone_screen_time_minutes, only looking at the days where the weekday is Monday and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "24f4b6f8fe6ebe883ab5cc85cda30d8ebf3ad899c0be817bc0ffe832bcde9ca3",
    "id": "bbeh:buggy_tables:137",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, num_steps, 10405, 2134, 7155, 11825, 9338, 18522, 1709, 12845, 11300, 11690, 2466, 10780, 3361, 15178, 4846, 15069, 3681, 18194, 13893, 16794, 13391, 7714, 11362, study_minutes, 71, 36, 64, 66, 92, 95, 81, 33, 20, 72, 100, 95, 76, 31, 16, 24, 60, 52, 90, 21, 91, 73, 36, 21, 83, exercise_minutes, 46, 55, 11, 58, 90, 33, 93, 40, 89, 28, 48, 99, 56, 36, 78, 42, 43, 25, 96, 64, 88, 46, 36, 32, 89, sleep_minutes, 584, 427, 450, 483, 543, 551, 507, 369, 409, 511, 442, 529, 511, 589, 368, 509, 359, 307, 343, 541, 567, 486, 432, 454, 357, 410, bed_time, 22:49, 21:48, 22:56, 23:55, 21:56, 21:32, 22:56, 22:49, 21:24, 22:32, 23:38, 21:34, 23:24, 22:42, 21:56, 22:30, 23:34, 22:11, 23:31, 21:25, 21:33, 22:31, 21:23, 21:21, num_messages, 84, 52, 34, 85, 59, 39, 38, 100, 50, 26, 79, 62, 36, 97, 41, 21, 19, 17, 69, 65, 96, 85, 82, 61, 29, 42, num_emails, 10, 7, 3, 1, 2, 8, 10, 8, 1, 7, 8, 7, 10, 2, 6, 4, 7, 2, 5, 5, 9, 2, 9, 6, 10, 5, 1, 3, num_calls, 7, 9, 8, 4, 4, 2, 3, 1, 9, 6, 4, 2, 2, 4, 4, 6, 10, 10, 2, 6, 3, 8, 9, 8, calories_burned, 485, 750, 341, 271, 206, 650, 621, 394, 257, 337, 241, 193, 997, 335, 707, 638, 418, 305, 418, 723, 587, 180, 379, 474, 828, 600, weekday, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Tue, Thu, Fri, Sun, calories_consumed, 1987, 1282, 1434, 1434, 1950, 909, 1194, 850, 663, 1081, 697, 663, 1273, 457, 1715, 1183, 819, 998, 887, 1712, 1279, 1553, 449, 318, 1388, num_meetings, 8, 14, 3, 4, 4, 3, 3, 2, 11, 8, 3, 9, 14, 4, 6, 13, 10, 3, 3, 9, 9, 10, 15, 1, 4, 13, 11, coding_minutes, 54, 27, 35, 61, 42, 54, 23, 4, 0, 34, 21, 3, 25, 12, 16, 6, 2, 49, 2, 54, 21, 44, 50, 31, 35, num_tasks_completed, 3, 6, 10, 10, 2, 5, 9, 2, 7, 8, 2, 10, 2, 4, 5, 8, 6, 4, 10, 9, 8, 10, 4, 2, 9, water_intake_ml, 679, 1072, 2264, 1030, 2120, 1602, 1940, 2679, 1640, 1171, 1410, 699, 1972, 1222, 1542, 2940, 1031, 1496, 1983, 1406, 1154, 1054, 1768, phone_screen_time_minutes, 38, 59, 16, 59, 42, 28, 59, 34, 40, 42, 31, 21, 47, 26, 29, 33, 40, 53, 59, 15, 54, 47, 51, 33, music_listening_minutes, 49, 50, 35, 13, 38, 32, 48, 16, 20, 14, 10, 58, 58, 32, 49, 56, 26, 14, 31, 15, 53, 26, 58, 44, 13, 44, 52].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(12, 4), (6, 12), (21, 10), (20, 8), (20, 14), (12, 1), (27, 1), (23, 16), (4, 15), (19, 9), (27, 10), (9, 8), (28, 15), (10, 3), (2, 2), (11, 8), (24, 5), (16, 1), (2, 14), (25, 16), (18, 4), (15, 11), (15, 14), (20, 13), (22, 10), (3, 6), (5, 3), (9, 1), (14, 15), (8, 5), (5, 15), (24, 1), (2, 16), (24, 10), (24, 13), (1, 17), (15, 10), (6, 13), (18, 6), (14, 11), (5, 11), (8, 16), (2, 9), (25, 8), (16, 5), (7, 2), (1, 10), (7, 5), (6, 3), (20, 2), (15, 15)]. Compute the absolute difference between the sum of column music_listening_minutes and column phone_screen_time_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "14a128d5b105a6f719d36daf4e55759f0705cc6d09dd9683d464f287d065db41",
    "id": "bbeh:buggy_tables:140",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18   | 2025-01-27| 3660 | 93   | 36   | 522  | 22:38| 66   | 5    | 1    | 886  | null | 1065 | 7    | 4    | 7    | 612  | 21    |\n| 10   | 24   | 2025-01-26| 17466| 49   | 13   | null | null | 79   | 10   | 8    | 486  | Tue  | null | null | 63   | 10   | 1045  |\n| 1342 | 37   | null | 2025-01-25| null | 36   | 34   | 565  | null | null | null | 4    | 861  | Wed  | 884  | null | 13   | 4     |\n| 7    | null | 53   | 14   | 2025-01-24| 11245| 84   | 40   | 582  | 23:44| 69   | null | 3    | 602  | Thu  | 816  | 15   | 21    |\n| 65   | 6    | 1888 | 26   | 35   | 2025-01-23| 663  | 47   | 53   | 381  | 23:29| 73   | null | null | 792  | Fri  | 752  | 12    |\n| 12   | 8    | 7    | 1581 | 32   | 59   | 2025-01-22| 3484 | 93   | 83   | 319  | 23:49| 96   | 1    | 8    | 966  | Sat  | 1860  |\n| 1245 | 8    | 33   | 9    | 1802 | 13   | 22   | 2025-01-21| 5281 | 28   | 64   | 495  | 22:40| 35   | 5    | 7    | 398  | Sun   |\n| null | 334  | 11   | 53   | 3    | 2705 | 36   | 56   | 2025-01-20| 9409 | 50   | 56   | 483  | 21:25| 28   | 5    | 10   | 499   |\n| 431  | Tue  | 1401 | null | 53   | 5    | 571  | 18   | 37   | 2025-01-19| 19920| 17   | 38   | 594  | 21:57| 37   | 4    | 1     |\n| 10   | null | Wed  | 1353 | null | 12   | 6    | 1830 | 22   | 47   | 2025-01-18| 5051 | 56   | 92   | 600  | 21:34| 97   | 1     |\n| 9    | 3    | 649  | Thu  | 1760 | 10   | 55   | 7    | 2503 | 48   | 47   | 2025-01-17| 11389| 97   | 89   | null | null | 20    |\n| 74   | 9    | 7    | 545  | Fri  | 497  | 10   | 23   | 8    | null | 21   | 44   | 2025-01-16| 15066| 26   | 28   | 311  | 22:24 |\n| 23:35| 30   | 8    | 1    | 754  | Sat  | 757  | null | 9    | 10   | 1365 | null | 45   | 2025-01-15| 12448| 28   | 48   | 576   |\n| 532  | 23:37| 31   | null | 9    | 380  | Sun  | null | 10   | 5    | 7    | 1744 | null | 23   | 2025-01-14| 14199| 17   | 89    |\n| 85   | 488  | 23:35| 68   | 3    | 8    | 633  | Mon  | 1214 | 7    | 5    | 6    | 2093 | 18   | 16   | 2025-01-13| 12860| 55    |\n| 49   | 55   | 470  | null | 72   | 5    | 9    | 599  | Tue  | null | 3    | 12   | 4    | 1471 | 41   | null | 2025-01-12| 16057 |\n| 16111| 47   | 54   | 302  | null | null | null | 2    | 271  | Wed  | 874  | 14   | 54   | 5    | 2487 | 44   | 60   | 2025-01-11 |\n| 2025-01-10| 8644 | 30   | 50   | 592  | 21:34| 53   | 10   | 5    | 271  | Thu  | 752  | null | null | 6    | 1909 | null | 26    |\n| 31   | 2025-01-09| 16559| 82   | 37   | 447  | 21:35| 90   | 5    | 8    | 560  | Fri  | 1881 | 12   | 57   | 4    | 1720 | 11    |\n| 31   | 31   | 2025-01-08| 8392 | 44   | 18   | 527  | 22:56| 67   | 1    | null | 332  | Sat  | null | 9    | 42   | 1    | 2443  |\n| 2004 | 38   | 51   | 2025-01-07| 9175 | 14   | 68   | 390  | null | 81   | 2    | 7    | 931  | Sun  | 540  | 2    | 29   | 2     |\n| 5    | 511  | 13   | 46   | 2025-01-06| 11355| 90   | 56   | null | 21:47| 53   | 2    | 3    | 136  | null | 1796 | 12   | 47    |\n| 46   | 10   | 687  | 19   | null | 2025-01-05| 18432| 56   | 94   | 307  | 21:17| 50   | 8    | 5    | 516  | Tue  | 1617 | 2     |\n| 6    | 9    | 1    | null | 56   | 48   | 2025-01-04| 11034| 82   | 31   | 530  | 23:30| 71   | 2    | 9    | 419  | Wed  | null  |\n| 1973 | 3    | 16   | 10   | 1376 | 27   | 58   | 2025-01-03| 18388| 66   | 60   | 380  | 22:27| 59   | 7    | null | null | Thu   |\n| null | 515  | 13   | 15   | 6    | 1669 | 57   | 56   | 2025-01-02| 7161 | 27   | 18   | 322  | 22:33| 21   | null | 2    | 354   |\n| 319  | null | 1410 | 8    | 13   | 7    | null | 17   | 24   | 2025-01-01| 11920| 43   | 34   | 451  | 21:11| 18   | 8    | null  |\n| 10   | 124  | Sun  | 1055 | 10   | 31   | 10   | 1196 | 21   | 15   | 2024-12-31| 6938 | 91   | 83   | 596  | 23:59| 86   | 9     |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the median of column study_minutes and column coding_minutes, only looking at the days where the music listening minutes was greater than 25 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "7c5142dde17ae5353599770e9df8618dd2cc27fc3ac8cd17a77b721dbcaa22fc",
    "id": "bbeh:buggy_tables:141",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 5866 | null | ERROR| 571  | 21:28| 29   | 3    | 3    | 854  | null | 589  | 6    | 49   | 2    | 1363 | null | 25    |\n| 2025-01-26| 7536 | 48   | 29   | 411  | 23:14| ERROR| 1    | 1    | ERROR| Tue  | 775  | null | null | 3    | 1242 | 46   | 26    |\n| 2025-01-25| 2710 | 23   | 50   | 419  | 21:30| 68   | 7    | 9    | 819  | null | null | 6    | ERROR| 4    | 1489 | 10   | null  |\n| 2025-01-24| 16295| null | 80   | 440  | ERROR| 89   | 1    | 9    | 747  | Thu  | 392  | 6    | 58   | 6    | null | 22   | 19    |\n| 2025-01-23| 4668 | 92   | 42   | 581  | 22:23| 72   | 5    | 8    | 235  | Fri  | 915  | 4    | ERROR| 3    | 1769 | ERROR| 22    |\n| 2025-01-22| null | 68   | 23   | 489  | 21:27| 58   | 1    | 7    | 230  | Sat  | 562  | 2    | 28   | 1    | 1029 | 18   | null  |\n| 2025-01-21| 15422| 52   | 26   | 424  | 23:24| null | 10   | 9    | ERROR| Sun  | 1552 | 10   | ERROR| 5    | 2508 | 56   | 31    |\n| ERROR| 18223| ERROR| 20   | 383  | 21:10| 69   | null | 5    | null | ERROR| 1238 | 6    | null | 3    | 2566 | 28   | ERROR |\n| 2025-01-19| null | 33   | 58   | 327  | 21:52| 39   | 7    | ERROR| null | Tue  | 1194 | null | 46   | ERROR| 1941 | 55   | 16    |\n| 2025-01-18| 3627 | 23   | ERROR| 342  | 21:41| 38   | 2    | 3    | 280  | Wed  | 1781 | 10   | 40   | 6    | 1365 | 35   | 16    |\n| 2025-01-17| ERROR| 74   | 21   | null | ERROR| 71   | 9    | ERROR| 429  | Thu  | 1926 | null | null | ERROR| ERROR| ERROR| 43    |\n| 2025-01-16| 12088| null | 22   | 440  | 23:24| 93   | null | null | 218  | ERROR| 400  | 8    | 21   | 7    | 1911 | 54   | ERROR |\n| 2025-01-15| 1178 | null | 50   | null | 22:36| 91   | 10   | 8    | 711  | Sat  | 1465 | ERROR| null | null | 2715 | ERROR| 60    |\n| 2025-01-14| 19248| 49   | 42   | 495  | ERROR| 52   | 8    | 1    | 724  | Sun  | ERROR| 1    | 30   | 10   | 1271 | 54   | 52    |\n| 2025-01-13| 4713 | 10   | 63   | 578  | 22:12| 29   | 10   | 4    | 174  | ERROR| 1825 | 6    | 0    | 9    | 693  | 40   | 43    |\n| 2025-01-12| 13699| 98   | 48   | null | 23:49| 55   | ERROR| 5    | ERROR| Tue  | 400  | 7    | 54   | 8    | 1536 | null | 52    |\n| 2025-01-11| 1913 | 79   | 54   | 453  | 21:32| null | 2    | 9    | null | Wed  | null | 2    | 15   | 7    | null | 55   | ERROR |\n| 2025-01-10| 16197| ERROR| 20   | 358  | 21:55| 46   | 9    | ERROR| 296  | Thu  | 947  | 11   | 1    | 1    | ERROR| 12   | 13    |\n| 2025-01-09| 12133| 54   | ERROR| 392  | 23:32| ERROR| 7    | 4    | 315  | Fri  | 1781 | 11   | null | 8    | 767  | 37   | 31    |\n| 2025-01-08| 4560 | 99   | 31   | ERROR| null | 28   | 7    | 8    | null | Sat  | 1697 | 2    | null | 3    | 2053 | 23   | 54    |\n| 2025-01-07| 5486 | 49   | 10   | 413  | 22:45| 97   | 9    | 9    | 162  | Sun  | 662  | 1    | null | 4    | 1108 | 54   | 23    |\n| 2025-01-06| 13880| 64   | 62   | 340  | 23:55| 24   | 1    | 4    | ERROR| Mon  | 1674 | 9    | 43   | 8    | 2632 | ERROR| 17    |\n| 2025-01-05| 3822 | 63   | 65   | 381  | 22:27| 95   | 6    | 6    | 499  | null | 1716 | 11   | 38   | 3    | 962  | 43   | 15    |\n| ERROR| 11930| 70   | 95   | 394  | 21:37| 12   | 7    | 10   | 934  | Wed  | 1112 | 7    | 6    | 1    | 769  | 57   | 24    |\n| 2025-01-03| 12421| 72   | 98   | 449  | 21:23| 17   | ERROR| 4    | 859  | Thu  | 1050 | 1    | 34   | ERROR| 1388 | 26   | 46    |\n| ERROR| 16459| 72   | 36   | 511  | ERROR| 17   | ERROR| 3    | null | Fri  | 443  | 14   | ERROR| 4    | null | ERROR| 51    |\n| 2025-01-01| ERROR| 71   | 32   | 562  | ERROR| 27   | 5    | 3    | 431  | Sat  | 1045 | 15   | ERROR| 8    | 1419 | 28   | 42    |\n| 2024-12-31| 1052 | 40   | 27   | 475  | null | 40   | null | 6    | 707  | Sun  | 1130 | 9    | null | 5    | 1951 | 48   | 49    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [49, 24, 812, 65, 21:44, 64, 38, 260, 36, 2025-01-20, null, Mon, 38, 1, 8, 49, null, 23:50, 5, 10, null, 46, Fri, null, 6, 40, 22:49, 1635, Mon, 4, 579, null, 53, 8, 1002, 77, 39, 551, 509, 35, 2025-01-04, 4, 8, 2025-01-02, 21:39, 6, 10, 13, 7010, 22:17, 61]. Compute the absolute difference between the sum of column study_minutes and column coding_minutes, only looking at the days where the number of steps was less than 17000 and the number of tasks completed was greater than 3. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "8ac5dd77eda66bfcd8d33bc00ef6febb87be02fc0869e5a1ea1dea816abe8dfe",
    "id": "bbeh:buggy_tables:143",
    "request": "I have a table with 30 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-30| 16857| 10   | 92   | 581  | 22:20| 39   | 7    | 6    | 671  | Fri  | 992  | 12   | 8    | 4    | 1943 | 19   | 28    |\n| 2025-01-27| 18376| 73   | null | 519  | 22:28| 64   | 4    | 4    | null | Sat  | 727  | 4    | 8    | null | 637  | 30   | 35    |\n| 2025-01-26| 774  | 36   | 71   | 571  | 23:23| null | 4    | 10   | 394  | Sun  | 812  | 12   | 30   | 5    | 1317 | null | 43    |\n| 2025-01-25| 19947| 51   | 85   | 300  | null | 100  | 2    | 1    | 406  | null | 790  | 10   | 19   | 7    | 517  | 20   | 52    |\n| 2025-01-24| 14334| 69   | 31   | 513  | 22:47| 29   | 1    | 5    | 239  | Tue  | 1696 | 9    | 56   | 1    | 679  | 33   | 27    |\n| 2025-01-23| 4199 | 25   | 25   | 535  | 22:12| 24   | 9    | 4    | 851  | Wed  | 599  | 7    | 15   | 9    | null | 52   | 20    |\n| 2025-01-22| 3149 | 62   | 25   | 550  | 21:57| 85   | 1    | 7    | 472  | null | 1542 | null | 0    | 7    | 2762 | 57   | 17    |\n| 2025-01-21| null | 83   | 33   | 382  | 23:38| 43   | 8    | 6    | 225  | Fri  | 1696 | 4    | 21   | 4    | null | 24   | 32    |\n| 2025-01-20| 13464| 80   | 88   | 363  | null | 32   | null | null | null | Sat  | 884  | 12   | 64   | 8    | 991  | 18   | 32    |\n| 2025-01-19| 7377 | 27   | 95   | 438  | 23:20| 69   | 9    | 5    | 420  | Sun  | 461  | null | null | null | 1240 | null | 37    |\n| 2025-01-18| 3508 | 52   | 40   | 402  | 21:24| 19   | null | 8    | 586  | null | 1634 | 14   | 17   | 10   | 1789 | 29   | null  |\n| 2025-01-17| 1766 | 92   | 56   | null | 22:25| 13   | 4    | 3    | 260  | null | 833  | 14   | 48   | 10   | 536  | 39   | 36    |\n| 2025-01-16| 12975| 87   | 54   | 372  | 21:46| 77   | 4    | 3    | 383  | Tue  | 1805 | 5    | 52   | 1    | 2636 | 59   | 24    |\n| 2025-01-15| 17489| 66   | null | 573  | 21:25| 18   | 7    | 4    | 380  | Wed  | 1773 | 1    | 14   | 1    | 2556 | 26   | 40    |\n| 2025-01-14| 17809| 38   | 10   | 520  | 23:42| 63   | null | null | 832  | Thu  | 938  | 11   | 23   | 5    | 2565 | 10   | 27    |\n| 2025-01-13| null | 90   | 73   | 452  | 23:37| null | 2    | 8    | 466  | Fri  | 732  | 2    | 20   | 9    | 1568 | 12   | 17    |\n| 2025-01-12| 9041 | 84   | 95   | 402  | null | 40   | 5    | 4    | 566  | Sat  | 1397 | 7    | 4    | null | 2243 | 58   | 47    |\n| 2025-01-11| 10804| 17   | 68   | 433  | 22:45| 28   | 10   | 4    | 458  | Sun  | null | 10   | 30   | 10   | 909  | 42   | 55    |\n| 2025-01-10| 16227| 22   | 24   | 301  | 23:56| 16   | 10   | 9    | 961  | null | 1942 | 9    | 22   | 8    | 866  | 37   | 54    |\n| 2025-01-09| 4740 | 52   | 79   | 517  | 22:12| 77   | 9    | 1    | 289  | Tue  | 1600 | 6    | 52   | 10   | 1070 | 24   | 19    |\n| 2025-01-08| 2343 | 86   | null | 331  | 22:44| 64   | 2    | 1    | 160  | Wed  | 1483 | 10   | null | 6    | 1918 | 41   | 21    |\n| 2025-01-07| 18984| 30   | 30   | null | null | 21   | 4    | 4    | 756  | null | 518  | 3    | 18   | 4    | 2125 | 35   | null  |\n| 2025-01-06| null | 20   | 72   | 423  | 22:23| 35   | 1    | 2    | null | Fri  | 1540 | 12   | 57   | 1    | null | 43   | 55    |\n| 2025-01-05| 17476| 85   | null | 462  | 22:18| 16   | 8    | 8    | null | Sat  | 441  | 2    | 48   | 8    | 1570 | null | 32    |\n| 2025-01-04| 15055| 95   | 78   | 489  | 21:23| 60   | 7    | 2    | 963  | Sun  | null | 5    | 64   | 1    | 1238 | 12   | 11    |\n| 2025-01-03| 14748| 40   | 87   | 579  | 23:38| 38   | 10   | 3    | 531  | null | 1984 | 6    | 5    | 4    | 2948 | 30   | 44    |\n| 2025-01-02| 19930| 47   | 34   | 510  | 22:54| 39   | 3    | null | 407  | Tue  | null | null | 1    | 2    | 1971 | 54   | 44    |\n| 2025-01-01| 8462 | 72   | 34   | 382  | 23:22| 73   | 8    | 10   | 324  | Wed  | 791  | 8    | 6    | 9    | 1421 | 36   | 42    |\n| 2024-12-31| 102  | null | null | 496  | 22:16| 83   | 6    | 2    | 194  | Thu  | 1260 | 10   | 15   | 2    | 2819 | 38   | 43    |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the median of column study_minutes and column exercise_minutes, only looking at the days where the number of messages was greater than 5 and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "36a864479d8d0710618d67e630659a5b6d17855f866eb0d5c985dc0bef9d3718",
    "id": "bbeh:buggy_tables:151",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, num_steps, 12318, 17897, 5283, 6250, 12469, 5730, 6619, 17271, 14688, 4072, 7458, 16744, 6602, 1426, 3103, 1016, 1356, 10738, 10954, 5919, 15192, 11519, 2380, 5598, 10699, 12955, -9, study_minutes, 98, 89, 58, 36, 36, 39, 68, 100, null, 61, 49, 12, null, 41, null, 61, 10, 18, 45, 87, 58, 32, 93, 90, 49, 81, 7, -8, exercise_minutes, 51, 75, 78, 93, 71, null, 38, 73, 98, null, 27, 87, 21, 29, 24, null, 53, 96, 59, 17, 67, 28, 75, 57, 94, 15, 2, -3, 3, sleep_minutes, null, 464, null, 589, 499, null, 388, 590, null, 339, 439, null, 578, 599, 344, 376, null, 405, 547, 411, 565, 503, 592, 370, 350, 496, 1, 9, 1, 4, bed_time, 23:27, 23:19, 23:17, 21:20, 22:24, 23:17, 23:37, 21:45, 21:49, 21:59, 23:12, 22:19, 23:27, 23:12, 23:27, 23:53, 23:28, 21:26, 21:49, null, 23:48, 23:50, 22:22, null, 23:30, 21:43, -1, -1, -6, 10, -4, num_messages, 41, 17, 47, 51, 69, 36, 16, 83, null, null, 70, null, 94, null, 76, 28, 48, 47, 100, 42, null, 99, 67, 45, 27, 54, 7, -7, 5, -8, 4, -9, num_emails, 7, 10, 2, 1, 1, 9, 6, 4, 6, 8, 9, null, 4, 3, 8, 6, 1, 3, 3, 4, 6, 3, 3, 6, 5, null, 0, -1, -2, -8, 7, 8, 10, num_calls, 6, 7, 2, 4, 9, null, 2, 9, 2, 3, 5, null, 10, 9, 8, 1, 10, 5, 6, 4, 2, 8, 1, 6, 3, 8, -9, -10, -1, -8, 9, 0, 2, -4, calories_burned, 269, 671, 658, 831, 880, 808, null, 536, null, 498, 618, 177, 579, 835, 332, 999, null, null, 655, 745, null, 809, 692, 792, 348, 250, 0, 5, 1, 7, -1, 4, -10, -2, 2, weekday, null, Tue, Wed, Thu, Fri, null, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, null, null, Wed, Thu, Fri, -3, 7, -7, -10, 5, 10, -1, 9, 10, -8, calories_consumed, 1046, 1803, 1535, 1449, 1046, 975, 1378, 384, 768, 642, 645, 762, null, 1944, 473, 301, 1521, 846, 414, null, 1221, 656, 1995, null, 390, 1262, -3, -9, -8, -6, 6, 7, 0, 8, 1, 7, -9, num_meetings, 10, 10, 6, 9, 8, 10, 2, 13, 5, 3, 14, 1, 1, 5, 12, 14, 15, 5, 10, 9, 4, 15, null, 1, 5, 3, 4, 8, 5, 10, -10, 8, -2, 1, -7, 0, 5, 8, coding_minutes, 35, 23, null, 50, 9, 53, 23, 11, 13, 43, 47, 0, 21, 11, 57, 36, 59, 27, 61, 8, 59, 37, 54, 55, 43, 55, -5, -5, -2, 6, -1, -8, -8, 8, -9, -2, 4, 6, 5, num_tasks_completed, 2, null, 7, 2, 9, 5, 3, 7, null, 5, 3, 9, 5, 9, 4, 7, null, 2, 5, 10, 8, 1, 6, null, 7, 8, 6, -2, -10, 9, 7, 9, -4, 3, 6, 1, -6, 5, 9, 10, water_intake_ml, 1126, 1260, 690, 2118, 2037, 557, 672, 2408, 1610, 2175, 2326, 2279, 1885, 2531, 1534, 2263, 1147, 2991, 1384, 2626, 2123, 2001, null, null, 1672, 2880, -8, -1, -2, 7, -10, -2, 10, -1, 6, 0, 1, -3, 1, 6, 0, phone_screen_time_minutes, 37, 18, 15, 15, 20, 39, 12, 52, 24, 50, 43, 43, 56, 17, 39, 38, 58, 16, 41, 39, 51, null, 12, 43, 13, 58, -8, 9, -2, -3, 6, 8, -6, -9, 5, 9, 7, -2, 4, 7, 7, -3, music_listening_minutes, 17, 31, 12, 40, 59, 58, 31, 56, 14, 25, 28, 58, 13, 34, 41, 11, 44, 59, 33, 56, 45, 31, null, 21, 21, null, -9, -1, 5, -9, 6, 3, -1, 5, -5, 10, -8, 6, 5, 10, 5, -3, -6].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the median of column exercise_minutes and column sleep_minutes, only looking at the days where the number of steps was less than 17000 and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "f9db5e119f399a700ae57c08156e7f0565a3d7ec764230c7c6948db963244bde",
    "id": "bbeh:buggy_tables:153",
    "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 3259, 7944, 18586, 12176, 2209, 11103, 1370, 5868, 1938, 11310, 8499, 8603, 1867, 592, 1727, 14439, 18808, 4710, 17314, 12857, 1052, 6431, 3450, 15239, 11229, -1, study_minutes, 66, 95, 38, 50, 21, 28, 77, 50, 85, 12, 59, 88, 61, 31, 51, 74, 39, 49, 92, 60, null, 25, 67, 99, null, 4, -4, exercise_minutes, 56, null, 73, 12, 33, 94, 39, 43, null, null, 28, 77, 26, 100, 23, 30, null, 24, 64, null, 88, 36, 33, 61, 53, 9, -2, 6, sleep_minutes, 514, 329, 428, 542, 580, 451, 402, 580, 482, 492, 486, null, 594, 332, 557, null, 338, 530, 515, 312, 487, 436, null, 364, 329, 8, -3, 10, 2, bed_time, 23:31, 23:36, 21:27, 22:47, 22:57, 22:55, 22:57, 21:46, 21:31, 22:41, 23:44, 21:27, 23:20, 23:11, 23:26, 21:29, 21:32, 23:13, 23:45, 21:41, 21:18, 23:59, 21:13, 21:23, 22:31, -1, 1, 3, 7, 5, num_messages, 42, 97, 72, 66, null, 57, 12, 14, 81, 84, 70, 66, 84, 55, 78, 85, 70, 80, 12, 75, null, 38, 82, 74, null, -10, 10, -1, 5, 6, 7, num_emails, 2, 10, 9, 4, 8, 2, 5, 5, 5, 4, 10, 10, 8, 5, 5, 7, 7, 9, 10, 4, 5, 8, 7, 2, 1, -9, -10, -5, 2, 4, -8, -8, num_calls, 2, 5, 1, 4, null, 3, 5, 4, 1, 3, 2, 10, 1, 5, 4, 5, null, 4, 8, 7, 1, null, 4, 9, 7, -4, -5, -6, -10, -3, 6, -9, 2, calories_burned, 451, 596, 988, 567, 497, 760, null, null, 382, 633, 369, 869, 947, null, 987, 844, null, 803, 214, 841, 286, null, 796, 241, 259, 2, 2, 9, -2, -8, 8, 8, -4, 4, weekday, null, Tue, Wed, null, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, Sat, null, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, 2, -2, 8, -10, 0, 4, 10, -7, -6, 10, calories_consumed, 1609, 1184, 1738, 1765, 1090, 1513, 774, 1864, 878, 472, 1158, 381, 1665, 700, 1609, 824, 1626, null, 1731, 490, null, 1902, null, 1966, 538, -6, 9, -3, 10, -3, -5, -10, 8, 0, -7, -1, num_meetings, 4, 4, 4, 12, null, 13, 3, 5, 4, 6, 14, 2, 6, 13, 10, 14, 8, 5, 8, 12, 14, 4, 12, 3, 15, -10, -8, -10, -10, -10, 0, 7, -2, -10, -7, 3, 2, coding_minutes, 5, 28, 24, null, 44, 14, 29, 63, 13, 41, 49, 8, 46, null, 37, 53, 26, null, null, 58, 20, 35, 61, 43, null, -5, 3, -10, -8, 1, 0, -7, -3, -1, -4, 4, 4, 10, num_tasks_completed, 10, 5, 3, 10, 10, 5, 6, 9, 8, 2, 7, null, 2, 1, 7, null, 10, 1, 6, 5, 3, 9, 10, 9, 6, 7, -8, -5, -3, 10, 0, 4, -2, 1, -10, -6, 4, 6, -3, water_intake_ml, 2735, 1522, null, 1546, 862, 2663, 742, 2854, 2833, 2646, 984, 2979, 2877, 1525, 1670, 1217, 2375, 956, 2821, 1127, 2862, 805, 744, 2489, 1820, 3, -1, -2, -3, 1, 0, -10, -10, 6, -8, -3, -7, 10, -7, 4, phone_screen_time_minutes, 19, null, 55, 14, 46, 48, 47, 15, 16, 26, 44, 24, 60, 44, 36, null, 17, 18, 40, 17, null, 34, 12, 53, 11, 6, -9, -1, -4, 7, -6, -4, -2, -9, 5, -6, 10, 0, 1, 0, 4, music_listening_minutes, 38, 10, 21, 16, 28, 41, null, 50, 14, 16, 57, 52, 26, 31, null, 27, 16, 53, 60, 21, 31, 13, null, 52, null, -9, 10, 10, 6, -3, 9, -6, 6, 4, 3, 7, 7, 7, -4, 9, 4, 10].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the sum of column music_listening_minutes and column sleep_minutes, only looking at the days where the number of steps was less than 17000 and the number of calories burned was less than 800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "c5394bf3787c0f471f7334a1908abec9b4a7054528fa2d3b7b86e49dfa3f4ed8",
    "id": "bbeh:buggy_tables:157",
    "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 6852 | ERROR| 65   | 561  | 23:43| 18   | 10   | null | 112  | Mon  | 902  | 9    | 7    | ERROR| 1141 | 33   | 11    |\n| 2025-01-26| 5168 | 87   | 25   | 494  | ERROR| null | ERROR| 2    | 541  | Tue  | 1673 | null | 24   | 6    | ERROR| 56   | 22    |\n| 2025-01-25| 2582 | 57   | 42   | 462  | 21:51| 13   | 3    | 9    | 113  | Wed  | ERROR| 6    | null | 8    | ERROR| 20   | 31    |\n| 2025-01-24| 16591| 68   | 77   | 512  | 22:41| ERROR| 2    | ERROR| ERROR| Thu  | 709  | 6    | 21   | 10   | ERROR| 34   | 53    |\n| 2025-01-23| 10492| 79   | 63   | 574  | 22:57| 53   | null | 1    | null | Fri  | 1243 | ERROR| 15   | 10   | ERROR| 42   | 35    |\n| 2025-01-22| ERROR| ERROR| 84   | 455  | 22:32| 74   | 1    | 9    | null | Sat  | 1464 | 7    | 6    | 6    | ERROR| 42   | null  |\n| 2025-01-21| null | 77   | ERROR| 495  | null | 26   | 7    | 7    | 179  | Sun  | 573  | 5    | 57   | 3    | null | ERROR| 57    |\n| 2025-01-20| 4834 | 41   | 70   | 359  | 22:20| 44   | 8    | 6    | 610  | Mon  | 1985 | 7    | 27   | 4    | 657  | 43   | 40    |\n| 2025-01-19| ERROR| 54   | 38   | ERROR| 23:13| null | 2    | 6    | 591  | Tue  | 952  | 11   | null | 2    | 1737 | ERROR| 60    |\n| 2025-01-18| 8759 | ERROR| null | 310  | 22:55| 88   | null | 8    | 812  | null | 921  | 11   | 16   | 1    | 724  | 54   | 37    |\n| 2025-01-17| 4668 | ERROR| null | 334  | 21:35| 75   | null | 5    | 564  | Thu  | 1359 | 12   | 54   | 8    | 2297 | 35   | 41    |\n| 2025-01-16| 8403 | 61   | 61   | null | 21:33| ERROR| 8    | 10   | 529  | Fri  | 1234 | 4    | 20   | 6    | 1061 | 59   | 14    |\n| 2025-01-15| 2977 | 15   | 27   | 393  | 22:29| null | ERROR| ERROR| 903  | Sat  | 1325 | 7    | null | null | 2139 | 50   | 55    |\n| 2025-01-14| 16590| 38   | 67   | 387  | 23:57| 71   | 7    | 10   | 779  | ERROR| 1980 | 6    | 26   | 5    | 2118 | 42   | 50    |\n| 2025-01-13| 3046 | 88   | 89   | 364  | 23:37| 22   | ERROR| null | 631  | null | 372  | ERROR| 63   | 5    | 2683 | 47   | 27    |\n| 2025-01-12| 3926 | 63   | 23   | 445  | 21:37| 67   | null | 3    | 235  | Tue  | 1389 | 8    | 39   | 5    | 833  | 53   | 26    |\n| 2025-01-11| 15989| 71   | 42   | null | 21:12| null | 3    | 3    | 126  | null | null | 6    | 19   | 1    | 527  | ERROR| 52    |\n| 2025-01-10| 3415 | null | 50   | 516  | null | 97   | 8    | null | 244  | Thu  | 1248 | 9    | 22   | null | 2137 | 33   | 12    |\n| 2025-01-09| 10095| 65   | 100  | 368  | 22:54| 82   | null | ERROR| 132  | ERROR| 1223 | 15   | 17   | 6    | ERROR| ERROR| ERROR |\n| 2025-01-08| 15554| ERROR| 62   | 520  | 23:42| 62   | 5    | 3    | 391  | Sat  | 1168 | 13   | 34   | null | 1928 | 32   | null  |\n| 2025-01-07| 5539 | 77   | 21   | 309  | null | 43   | 6    | 9    | 441  | Sun  | ERROR| 14   | ERROR| 2    | 2860 | null | null  |\n| 2025-01-06| 16199| 25   | 13   | 554  | 21:37| 61   | 5    | 3    | 727  | null | 1760 | 5    | null | 7    | ERROR| ERROR| 31    |\n| 2025-01-05| ERROR| ERROR| 10   | 328  | 22:36| ERROR| 7    | null | 920  | ERROR| ERROR| 3    | 27   | 3    | 1382 | 58   | 29    |\n| 2025-01-04| 3542 | 55   | ERROR| 368  | 22:21| 100  | 6    | 7    | 947  | Wed  | 1155 | 12   | 60   | 3    | 567  | null | 38    |\n| 2025-01-03| null | ERROR| ERROR| 318  | 22:13| 34   | 1    | null | ERROR| Thu  | 1424 | 12   | 56   | 7    | 1627 | 30   | 11    |\n| 2025-01-02| 110  | 58   | 74   | ERROR| 22:24| 15   | 2    | 8    | 208  | Fri  | 1625 | ERROR| 30   | 3    | 510  | 27   | 16    |\n| 2025-01-01| null | 92   | 67   | 316  | 23:25| 56   | 2    | 10   | 726  | null | 1087 | 15   | 61   | 7    | 1623 | 48   | 51    |\n| 2024-12-31| 19755| 72   | 47   | 597  | 23:29| null | 8    | null | 138  | Sun  | 1963 | 9    | 57   | 10   | 1458 | 22   | 44    |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [15575, 9306, 13783, 22, 80, 66, 93, 92, 73, 94, 55, 31, 96, 576, 591, 22:57, 45, 85, 92, 8, 6, 9, 2, null, 4, 918, 622, Sun, Fri, Tue, 1994, 309, 744, 4, 13, 7, 19, 1, 551, 2077, 2102, 846, 2082, 1965, 2326, 27, 60, 47, null, 23, 54]. Compute the absolute difference between the stdev of column coding_minutes and column study_minutes, only looking at the days where the number of calories burned was less than 800 and the number of tasks completed was greater than 3. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "06cef2779df65610a7a8bcd0ac7bd5dc94fc385fbd0d47f921b261ba750b88be",
    "id": "bbeh:buggy_tables:158",
    "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30   | 2025-01-27| 8688 | 86   | 61   | 535  | 22:35| 20   | 2    | 8    | 709  | null | 684  | 4    | 41   | 4    | 1479 | 16    |\n| 48   | 56   | 2025-01-26| 13907| 33   | 11   | 509  | 21:14| 76   | 3    | 2    | null | Tue  | 1017 | 6    | 4    | 6    | 2205  |\n| 2211 | 39   | 29   | 2025-01-25| 10059| 55   | 42   | 462  | 23:18| 99   | 7    | 2    | 919  | Wed  | 893  | 13   | 6    | 4     |\n| 6    | 2381 | 25   | 17   | 2025-01-24| 13809| 44   | 59   | 496  | 21:22| 35   | 1    | 4    | 201  | Thu  | 1579 | 2    | null  |\n| 50   | 8    | 2716 | 20   | 25   | 2025-01-23| 8734 | 11   | 71   | 458  | 23:21| null | 4    | 1    | 276  | null | 1593 | 4     |\n| 3    | null | 8    | 2211 | 35   | 56   | 2025-01-22| 3721 | 54   | 50   | 332  | 21:33| 89   | 1    | 9    | 303  | Sat  | null  |\n| 1096 | 8    | 8    | 7    | null | 57   | 27   | 2025-01-21| null | 37   | 22   | 374  | 22:47| null | 3    | 6    | 241  | Sun   |\n| Mon  | 1447 | 8    | 2    | 7    | 2078 | null | 32   | 2025-01-20| 3025 | 30   | 33   | 314  | 22:24| 10   | 6    | 8    | 286   |\n| 594  | Tue  | 1200 | 11   | 10   | null | 1225 | 27   | null | 2025-01-19| null | 78   | null | 371  | 22:59| 13   | 10   | 2     |\n| 3    | 150  | Wed  | 748  | 3    | 8    | 4    | 2768 | 51   | 21   | 2025-01-18| 16555| 31   | 90   | 450  | 23:30| 70   | null  |\n| 8    | null | 733  | Thu  | 791  | 7    | 28   | 4    | 1447 | 31   | 19   | 2025-01-17| 912  | 89   | 73   | 534  | 23:45| 68    |\n| 91   | 5    | 5    | 264  | Fri  | 854  | 11   | null | null | 2953 | 50   | 54   | 2025-01-16| 15537| 27   | 49   | 317  | 22:18 |\n| 21:11| null | 1    | 10   | null | Sat  | 713  | 10   | 52   | 3    | 569  | 55   | 47   | 2025-01-15| 939  | 85   | 50   | 395   |\n| 430  | 21:16| 77   | 8    | 1    | 449  | Sun  | 1318 | null | 11   | 7    | 2607 | 11   | 30   | 2025-01-14| 731  | 57   | 85    |\n| 98   | 486  | 23:49| 12   | 5    | 5    | 143  | Mon  | 1120 | 7    | 58   | 2    | null | 54   | 55   | 2025-01-13| 17924| 91    |\n| 26   | 49   | 338  | 22:48| 78   | 2    | null | 927  | Tue  | 1773 | 9    | 38   | 3    | 2144 | 46   | 15   | 2025-01-12| 19163 |\n| 10626| 38   | 61   | 591  | 21:14| 34   | 8    | 2    | 233  | Wed  | 1429 | null | 15   | 4    | 1919 | 31   | 27   | 2025-01-11 |\n| 2025-01-10| 2465 | 17   | null | 523  | null | null | 3    | 3    | 751  | null | 309  | 5    | 19   | 9    | null | 47   | 24    |\n| 59   | 2025-01-09| 16119| 40   | null | 349  | 23:12| 59   | 4    | 9    | 905  | Fri  | 423  | 3    | 19   | 9    | 539  | 19    |\n| 56   | 49   | 2025-01-08| 16341| 15   | 43   | 593  | 22:36| 35   | 1    | 7    | 480  | null | 1129 | null | 51   | 1    | 622   |\n| 1712 | 59   | 21   | 2025-01-07| 655  | 57   | 55   | 407  | 21:42| 61   | 3    | 9    | null | Sun  | 1346 | 6    | 25   | 4     |\n| 5    | 2155 | null | null | 2025-01-06| 7355 | 52   | 43   | 321  | 21:27| 54   | 3    | 1    | 981  | null | null | 13   | 6     |\n| null | 6    | 1828 | 57   | 39   | 2025-01-05| null | 76   | 37   | 343  | 22:34| 100  | 2    | 5    | null | null | null | 13    |\n| 3    | 29   | 4    | 2634 | 10   | 16   | 2025-01-04| 2310 | 82   | 45   | 368  | 23:24| 25   | 3    | 3    | 647  | Wed  | 1836  |\n| 1887 | 10   | 31   | 9    | 674  | null | 18   | 2025-01-03| 5034 | 94   | 86   | 365  | 22:36| 87   | null | 9    | 369  | null  |\n| null | 632  | 6    | 15   | 9    | 1833 | 59   | null | 2025-01-02| 7558 | 85   | 31   | 526  | 22:12| 43   | 7    | 5    | null  |\n| 735  | Sat  | 920  | 5    | 61   | 3    | 1766 | 23   | 51   | 2025-01-01| 11121| 88   | 11   | 551  | 21:30| 60   | 10   | 4     |\n| 6    | 755  | Sun  | null | 3    | 8    | 3    | 2950 | 36   | 27   | 2024-12-31| 6780 | null | 21   | 526  | 23:12| 46   | 2     |\n| 2    | 6    | 734  | null | 982  | 7    | 48   | 5    | 2774 | 59   | 29   | 2024-12-30| 16128| 11   | 88   | null | 22:33| 57    |\n| 30   | 8    | 10   | 973  | Tue  | 801  | null | 3    | 8    | 629  | 18   | 29   | 2024-12-29| 5203 | 59   | 47   | 468  | 22:46 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the median of column phone_screen_time_minutes and column study_minutes, only looking at the days where the number of calories burned was less than 800 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "8cf0ce7d9628d9a321109f171568dae61791e80830519f6cdf6ec07aa66f13dc",
    "id": "bbeh:buggy_tables:164",
    "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-28| 11175| 70   | 39   | 378  | null | 73   | 2    | 4    | 171  | Sun  | 529  | 7    | 63   | 9    | null | 12   | 49    |\n| 2025-01-27| 4927 | 92   | 82   | 588  | 22:34| 45   | 9    | 5    | 359  | null | 373  | null | 5    | 2    | 1826 | 47   | 17    |\n| 2025-01-26| 13225| 68   | null | 379  | null | 48   | 9    | 8    | 403  | Tue  | 369  | 14   | null | 6    | 594  | 30   | 21    |\n| 2025-01-25| 8684 | 50   | null | 552  | 23:28| 78   | 6    | 9    | 484  | Wed  | null | 7    | null | 4    | null | 36   | 36    |\n| 2025-01-24| 18071| 18   | 25   | 538  | 23:16| 32   | 1    | 10   | 988  | Thu  | 1193 | null | 60   | 3    | 2263 | 44   | 44    |\n| 2025-01-23| 13928| 57   | 62   | 357  | 23:11| 63   | 9    | 5    | 941  | Fri  | null | 14   | 59   | 1    | 887  | 11   | 53    |\n| 2025-01-22| 18716| 92   | 65   | 346  | 21:13| 95   | 1    | 4    | 548  | Sat  | 1791 | 5    | 56   | 3    | 1887 | 12   | 27    |\n| 2025-01-21| 4112 | 69   | 37   | 350  | 23:25| 93   | 5    | 5    | 268  | Sun  | 1493 | 15   | 20   | 10   | 2735 | 12   | null  |\n| 2025-01-20| null | 74   | 54   | 427  | 23:45| 94   | 6    | 2    | null | null | 1911 | 8    | 26   | 5    | 2196 | 55   | 56    |\n| 2025-01-19| 2423 | 85   | null | 436  | 23:13| 40   | 9    | 8    | 192  | Tue  | 594  | 15   | 59   | 3    | 1514 | 30   | 19    |\n| 2025-01-18| 10914| 57   | 97   | 320  | 21:53| 34   | 4    | 7    | 841  | Wed  | 1404 | 10   | 25   | 5    | 2052 | 35   | 12    |\n| 2025-01-17| null | 99   | 56   | 433  | 22:43| 93   | 5    | 4    | 223  | Mon  | 1045 | 5    | 3    | 7    | 1555 | 57   | 56    |\n| 2025-01-16| 13930| 38   | null | 391  | 22:22| 87   | 5    | 8    | 339  | Tue  | 682  | 11   | 48   | 4    | 736  | 29   | 16    |\n| 2025-01-15| 2180 | 82   | 66   | 397  | 23:11| 51   | 1    | null | 438  | Wed  | 1189 | 15   | 45   | null | 976  | 24   | 29    |\n| 2025-01-14| 6168 | 88   | 49   | 568  | 23:35| 80   | 4    | null | 640  | Thu  | null | 1    | 52   | 6    | 668  | 22   | 53    |\n| 2025-01-13| 14243| 26   | 55   | 333  | 23:32| 35   | 8    | 1    | 285  | Fri  | 1688 | 2    | 43   | 5    | 881  | null | 39    |\n| 2025-01-12| 10094| 50   | 61   | 430  | 22:50| 44   | 2    | 7    | 994  | Sat  | 1802 | 4    | 55   | 4    | 1260 | 21   | 53    |\n| 2025-01-11| null | 70   | 43   | 439  | 23:50| 50   | 3    | 1    | null | Sun  | 329  | 7    | 15   | 4    | 1400 | 55   | 37    |\n| 2025-01-10| 12697| 76   | 13   | 469  | 22:19| 49   | 6    | 7    | 782  | null | null | null | 35   | 2    | 2100 | 59   | 34    |\n| 2025-01-09| 8669 | 49   | 38   | 375  | 21:37| null | null | null | 747  | Tue  | 938  | null | 42   | 1    | 1043 | null | 13    |\n| 2025-01-08| 7261 | 54   | 28   | 433  | 22:23| 14   | 4    | null | 840  | Wed  | 1495 | 5    | 37   | 3    | 1632 | 56   | null  |\n| 2025-01-07| 9289 | 87   | 74   | 413  | 21:28| null | 3    | 2    | 737  | Thu  | 1487 | 15   | 30   | 7    | null | 49   | 43    |\n| 2025-01-06| 8118 | 42   | 95   | 382  | 21:41| 94   | 9    | null | null | Fri  | 618  | 1    | 13   | 2    | 971  | null | 38    |\n| 2025-01-05| 10107| 12   | 90   | 381  | 22:47| 17   | 4    | 5    | 187  | Sat  | 1405 | 10   | 64   | 9    | 1060 | 46   | 16    |\n| 2025-01-04| 17488| 47   | 27   | 502  | 23:57| 29   | 3    | 5    | null | Sun  | 544  | 13   | 48   | 6    | 2590 | 60   | 47    |\n| 2025-01-03| 197  | null | 35   | 312  | 23:56| 79   | 2    | 1    | 268  | null | 862  | 8    | 53   | 5    | 1163 | 35   | 47    |\n| 2025-01-02| 17063| 65   | 18   | 574  | 22:52| 12   | 1    | 3    | 522  | Tue  | 466  | null | 47   | null | 2605 | 42   | 12    |\n| 2025-01-01| 13616| 93   | 91   | 386  | 23:23| 26   | 10   | null | 266  | Wed  | 1156 | 1    | 29   | null | 578  | 13   | 32    |\n| 2024-12-31| 10124| 66   | 85   | 584  | 21:38| null | 4    | null | 472  | Thu  | 901  | null | 14   | 8    | null | 11   | 11    |\n| 2024-12-30| 6881 | 40   | 63   | 383  | 21:11| 22   | 3    | null | 528  | Fri  | 434  | 7    | 37   | 5    | 1159 | 17   | 31    |\n| 2024-12-29| 8993 | 18   | 39   | 357  | 23:43| 82   | null | 4    | 346  | Sat  | 1620 | 12   | 47   | null | 2326 | 14   | 52    |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the median of column study_minutes and column sleep_minutes, only looking at the days where the coding minutes was greater than 20 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "cb9027ba9a25c301ec867fa7376b6c9477b78a762c68139c18f000055812c246",
    "id": "bbeh:buggy_tables:177",
    "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, num_steps, null, 6484, 17377, 421, 14433, 12324, 6759, 8148, 12502, 4949, 11824, 602, 1817, 18228, 15585, 4509, null, 9553, 10343, 9128, 17910, 11772, 19833, null, 4415, 744, -10, study_minutes, 23, null, 32, 16, null, 29, null, 46, null, 28, 24, 33, 17, 34, 80, 41, 51, 76, 11, 35, 82, 26, 19, 39, 87, 23, 1, -4, exercise_minutes, 40, 35, 100, 54, 28, 37, 98, 75, 91, 46, 70, 53, 15, 10, null, 97, 39, 23, 64, 31, 21, 12, null, 78, 72, 99, 4, 8, -3, sleep_minutes, 416, 465, 396, 527, null, 336, 436, 479, 381, null, 598, 350, 515, 397, 558, 349, 587, 314, 458, 405, 374, null, 358, 442, 491, 595, 3, -10, 9, 0, bed_time, 22:43, 22:31, null, 22:46, null, 22:19, 23:37, 22:36, 23:47, 22:58, 21:26, 21:34, 23:20, 22:14, 21:16, 22:41, 23:11, 22:49, 23:17, 22:25, 21:23, 21:58, 21:25, 23:24, 23:18, 22:33, -5, -3, -10, 6, -7, num_messages, 97, 56, 56, 10, 31, 24, 85, 95, null, 36, 24, 94, 56, 67, 64, 99, 59, 23, null, 17, 19, 91, 57, 100, 38, 69, 5, 3, 3, -1, -2, -8, num_emails, 4, 1, 1, 3, 3, null, 7, 8, 3, 3, 9, 4, 8, 9, 9, 1, 6, 1, null, 10, 3, 3, 9, 1, 3, 8, 9, 2, 10, 3, 5, 1, 8, num_calls, 4, 5, 1, 1, null, 9, 10, 1, null, 10, null, null, 6, 2, 9, 9, null, 5, 4, 9, 6, 8, 3, 2, 9, 9, -1, 3, -3, -3, -4, 5, -6, 0, calories_burned, 396, 571, 503, null, 538, 629, null, 424, 908, 731, null, 977, 965, 118, 988, 568, 866, 877, null, 583, 494, 378, 784, 457, 751, 627, 0, -3, 0, -7, -5, -4, 5, 1, 1, weekday, Mon, Tue, null, Thu, Fri, null, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, -10, 4, -9, -1, 0, 1, 9, 1, 10, 10, calories_consumed, 1787, 1937, 1118, 1538, 888, 976, 852, 538, 937, 384, 1822, 1568, 1725, 813, 1770, 1697, 1748, 1533, 1412, 1734, 955, 916, 1573, 1904, 939, 1385, -3, 3, -8, -10, -9, -5, 8, 0, 5, 8, 5, num_meetings, 9, 11, 4, 15, 4, null, 6, 2, 13, 2, 5, 14, 2, 11, 11, 9, null, 15, 10, 7, 15, 9, 11, 14, 3, 1, -3, -5, -7, -7, 3, -3, 7, -4, -10, -3, -5, 7, coding_minutes, 27, 25, 21, 40, 39, 51, 0, 25, 36, 22, 50, 57, 20, 61, 33, 38, null, null, 38, 55, 49, 27, 38, 44, 10, 3, 7, -10, 9, -3, 2, 10, -10, 2, -7, 1, 1, 0, -8, num_tasks_completed, null, 6, 3, 5, 7, 5, 2, 3, 10, 8, 6, 8, null, 1, 6, 9, 3, 3, 3, 9, 7, null, 3, 2, 1, null, 0, 5, -8, -10, -6, -5, 6, -2, -10, -4, 9, -3, 6, 9, water_intake_ml, 621, 1120, 1569, 569, 2409, 1821, 979, 2177, 2451, 1991, 1556, 2517, 949, 2527, null, 1316, 2539, 798, 1217, 1112, null, 2042, 1539, 2198, 2147, 2930, -10, -8, 6, -1, -8, 1, -9, 2, 5, -10, -9, 5, -3, -2, -8, phone_screen_time_minutes, 11, 60, 32, 28, null, 20, 33, null, 36, 12, 58, 58, 22, 45, 40, 19, 37, 19, 46, 59, 27, 13, 46, 19, 56, 47, -10, -7, -4, -5, -7, 4, -4, 2, 2, -4, -1, -10, -4, -2, -10, 4, music_listening_minutes, 23, 59, 60, 31, 27, 12, 23, 18, 39, 23, 18, 34, null, 25, 56, 44, null, null, 45, null, 18, 22, 47, 22, 35, 52, -5, 7, 6, 3, 9, 9, 9, -1, -7, 4, 0, -9, 3, 7, -8, 3, 1].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the sum of column music_listening_minutes and column exercise_minutes, only looking at the days where the sleep minutes was greater than 350 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "a99aa2b4dca78f9a296e37bf4babd8adae375d0d6cb98e187f6bbfad5d744b01",
    "id": "bbeh:buggy_tables:184",
    "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-24| 9474 | 95   | 80   | 520  | 23:18| 31   | 5    | 9    | 605  | Thu  | 1594 | 15   | 65   | 6    | null | 46   | 15    |\n| 2025-01-27| 3055 | 40   | 29   | 571  | 21:13| 87   | 10   | 8    | 689  | Fri  | 1781 | 1    | 40   | 6    | 1337 | 60   | 20    |\n| 2025-01-26| 15505| null | 66   | 585  | 21:10| 86   | 8    | 1    | 936  | Sat  | 398  | 8    | 29   | 3    | 2195 | 37   | 54    |\n| 2025-01-25| 10149| 65   | 69   | 328  | 23:30| 71   | 3    | 1    | 292  | Sun  | 1811 | 1    | null | 8    | null | 44   | null  |\n| 2025-01-24| 8903 | 29   | 89   | 461  | null | 92   | null | 8    | 647  | Mon  | 1847 | 1    | 63   | 1    | 863  | 54   | 39    |\n| 2025-01-23| 3803 | 88   | 54   | 304  | 21:12| 14   | 8    | null | 408  | Tue  | 664  | 11   | 4    | 7    | 1165 | 39   | null  |\n| 2025-01-22| null | 25   | 44   | 376  | 23:34| 84   | 6    | 4    | 452  | Wed  | 1524 | 13   | 30   | 9    | null | 42   | 42    |\n| 2025-01-21| 757  | 87   | 30   | 303  | 21:41| 76   | 3    | 6    | 776  | Thu  | 1973 | 12   | 56   | null | null | 13   | null  |\n| 2025-01-20| 7693 | 33   | 47   | 399  | 21:43| 41   | 9    | 6    | 872  | Fri  | 784  | 12   | 38   | 10   | 2545 | 11   | 10    |\n| 2025-01-19| 6681 | null | 27   | 592  | 23:50| null | 3    | 5    | 699  | Sat  | 1290 | null | 23   | 5    | 1105 | 60   | 42    |\n| 2025-01-18| 4588 | 91   | 85   | 352  | 21:24| 17   | 4    | 6    | 602  | Sun  | 1558 | 14   | 29   | null | 850  | null | 22    |\n| 2025-01-17| 11800| 38   | 31   | 451  | 21:54| null | 9    | 6    | 914  | Mon  | 1343 | 5    | 62   | 9    | 1579 | 32   | 19    |\n| 2025-01-16| 19498| 51   | null | 479  | 21:10| 28   | 10   | 9    | 787  | Tue  | 1764 | 1    | 47   | 10   | 963  | 48   | 54    |\n| 2025-01-15| 3008 | 90   | 11   | 487  | 21:48| 60   | 4    | null | 908  | null | 694  | 11   | 60   | 8    | 2641 | 30   | 38    |\n| 2025-01-14| 1934 | 30   | 56   | 499  | 22:54| 39   | 7    | 4    | 289  | Thu  | 1762 | 11   | 40   | 8    | null | 18   | 59    |\n| 2025-01-13| 15110| 47   | null | 574  | 23:41| 36   | 1    | 1    | 504  | Fri  | 1884 | 5    | 3    | 3    | 893  | null | 26    |\n| 2025-01-12| 4626 | 97   | 40   | 333  | 22:11| 19   | 10   | 4    | 322  | Sat  | 962  | 14   | 38   | 10   | 2022 | 45   | 32    |\n| 2025-01-11| 17492| 76   | 79   | null | 22:39| 39   | 1    | 9    | 984  | Sun  | 964  | 2    | 40   | 8    | 841  | 10   | 34    |\n| 2025-01-10| 14541| 61   | 37   | 461  | null | 96   | null | 8    | 949  | Mon  | 1396 | 11   | 6    | null | 1660 | 40   | 39    |\n| 2025-01-09| 961  | 32   | 73   | 555  | 23:36| 87   | 3    | 6    | 167  | Tue  | 1543 | 7    | 40   | 9    | 1900 | 29   | 32    |\n| 2025-01-08| 9027 | 84   | 63   | 464  | 23:28| 15   | 3    | 3    | null | null | 1852 | 4    | null | 1    | 1235 | 36   | 14    |\n| 2025-01-07| 5943 | 18   | null | 578  | 23:41| 18   | 5    | 6    | 812  | Thu  | 616  | 12   | 50   | 6    | null | 43   | 25    |\n| 2025-01-06| 15970| 24   | 79   | 532  | 21:24| 13   | 1    | 2    | 397  | Fri  | 826  | 4    | 38   | 8    | 1422 | 60   | 13    |\n| 2025-01-05| 10721| 17   | 47   | 345  | null | 62   | 3    | 3    | 222  | Sat  | 1122 | 12   | 31   | 5    | 1068 | 19   | 47    |\n| 2025-01-04| 13658| 98   | 87   | 545  | 23:18| 79   | 5    | null | 481  | Sun  | 1019 | 5    | 57   | 10   | 2688 | 44   | 42    |\n| 2025-01-03| 16629| 94   | 71   | 370  | 23:26| 70   | null | 7    | 214  | Mon  | 924  | 12   | 53   | null | 1705 | 49   | 30    |\n| 2025-01-02| 619  | 23   | 79   | 557  | 23:27| 56   | 8    | 1    | null | Tue  | 1683 | 4    | 37   | null | 1956 | 35   | 21    |\n| 2025-01-01| 9191 | null | 100  | null | 21:24| 77   | null | 5    | null | Wed  | 764  | 11   | 1    | 6    | 2913 | 32   | 18    |\n| 2024-12-31| null | 22   | 95   | null | 23:42| 47   | 5    | 1    | 635  | Thu  | 965  | 7    | 10   | 2    | 2258 | 45   | 17    |\n| 2024-12-30| 14262| 52   | null | 331  | 22:56| 78   | 10   | 10   | 547  | Fri  | 1554 | null | null | 10   | 983  | 51   | 32    |\n| 2024-12-29| 926  | null | 86   | 585  | 22:14| 10   | null | 5    | 461  | null | 1837 | 5    | 32   | 9    | 817  | 44   | 49    |\n| 2024-12-28| 13997| 45   | 22   | 599  | 22:43| 44   | 6    | 9    | 196  | Sun  | null | 1    | null | 9    | 1909 | 11   | 14    |\n| 2024-12-27| 1725 | 83   | 62   | 411  | null | 90   | 2    | 8    | 400  | null | 1186 | 13   | null | 6    | 1833 | null | 20    |\n| 2024-12-26| 13571| 88   | 69   | 416  | 23:47| 85   | 9    | 3    | 201  | Tue  | 333  | null | 32   | 6    | 1637 | 46   | 33    |\n| 2024-12-25| 6287 | 49   | null | 475  | 23:44| 85   | null | 8    | 260  | Wed  | null | 3    | 49   | 9    | 2269 | 26   | 52    |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the sum of column phone_screen_time_minutes and column music_listening_minutes, only looking at the days where the study minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "3b1e4e2009fe2ea15c7d5d16ed3b6bdd91fa90de57055c9c33c4ab12ef9b2403",
    "id": "bbeh:buggy_tables:188",
    "request": "I have a table with 32 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, num_steps, 126, 2249, 9166, 4767, 1139, 19681, 13268, 13773, 3827, 12855, 14238, 19249, 15341, 12019, 8466, 14408, 1952, 15156, 6353, 1791, 12123, 8983, 5953, 4701, 14217, 4179, 10087, 16030, study_minutes, 97, 53, 92, 55, 34, 20, 18, 70, 10, 16, 96, 54, 55, 20, 82, 65, 29, 16, 77, 24, 72, 45, 48, 73, 59, 94, 96, 63, 23, 41, 87, exercise_minutes, 40, 47, 81, 51, 62, 17, 19, 85, 100, 24, 82, 86, 98, 100, 66, 38, 81, 11, 16, 23, 78, 44, 72, 73, sleep_minutes, 410, 476, 576, 312, 585, 310, 456, 573, 397, 477, 391, 357, 541, 304, 323, 546, 343, 466, 387, 523, 366, 313, 584, 596, 393, 467, 591, 391, 475, bed_time, 21:45, 22:58, 22:58, 23:11, 21:43, 23:29, 22:50, 23:42, 22:47, 23:45, 23:35, 22:48, 22:38, 21:27, 23:40, 22:16, 23:11, 22:54, 21:32, 23:50, 23:20, 23:35, 21:16, 23:55, 21:35, 23:35, 23:35, num_messages, 78, 68, 99, 84, 98, 45, 78, 79, 46, 14, 61, 64, 57, 40, 61, 21, 95, 57, 93, 69, 69, 36, 53, 30, 58, 34, 64, 39, 95, num_emails, 10, 5, 2, 3, 4, 9, 10, 1, 1, 9, 6, 7, 3, 7, 2, 3, 1, 9, 4, 1, 7, 10, 10, 2, 3, 8, 6, 5, num_calls, 4, 1, 1, 3, 4, 5, 10, 9, 1, 5, 9, 5, 9, 7, 8, 2, 3, 6, 3, 4, 1, 5, 7, 5, 7, 1, 8, calories_burned, 601, 318, 240, 969, 989, 543, 301, 335, 243, 202, 750, 193, 712, 420, 839, 260, 596, 505, 931, 759, 310, 231, 542, 759, 264, 588, 756, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Tue, Wed, Fri, Sat, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, calories_consumed, 1070, 848, 1407, 869, 1689, 1493, 1796, 1460, 899, 735, 1083, 1339, 1124, 1771, 466, 988, 575, 948, 1057, 711, 1708, 1145, 792, 535, 1894, 1339, 1974, 461, 1547, 1320, num_meetings, 3, 4, 10, 14, 5, 13, 15, 14, 2, 10, 13, 15, 4, 4, 3, 10, 12, 13, 2, 6, 4, 11, 11, 10, 8, 4, 12, coding_minutes, 26, 1, 21, 55, 24, 54, 35, 37, 4, 14, 19, 48, 47, 21, 31, 57, 35, 19, 34, 32, 2, 33, 60, 47, 25, 37, 26, 14, 52, 21, num_tasks_completed, 1, 7, 6, 1, 8, 2, 10, 10, 1, 1, 10, 7, 6, 1, 9, 7, 7, 3, 7, 1, 1, 6, 8, 1, 5, 7, water_intake_ml, 2182, 1246, 670, 1553, 1261, 2526, 2323, 2978, 1328, 2285, 608, 2081, 731, 1749, 1123, 1800, 1480, 1843, 1307, 2210, 2077, 2902, 2259, 2089, 695, 2029, phone_screen_time_minutes, 42, 28, 37, 20, 39, 57, 19, 56, 13, 14, 11, 19, 53, 24, 36, 23, 35, 56, 21, 47, 10, 41, 34, 60, 30, 11, 51, 51, music_listening_minutes, 51, 25, 19, 24, 19, 50, 17, 41, 55, 48, 34, 34, 18, 45, 49, 44, 31, 52, 56, 27, 27, 39, 41, 46, 12, 25, 40, 28, 34].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(21, 16), (12, 7), (27, 1), (4, 12), (28, 3), (22, 17), (14, 10), (10, 9), (9, 11), (30, 15), (10, 12), (15, 14), (7, 10), (21, 3), (23, 9), (21, 15), (12, 12), (22, 10), (14, 3), (27, 9), (28, 8), (9, 7), (28, 17), (8, 14), (13, 4), (27, 15), (25, 3), (11, 10), (10, 14), (15, 4), (16, 3), (15, 10), (29, 9), (7, 6), (21, 5), (31, 3), (15, 15), (12, 5), (23, 8), (22, 12), (4, 16), (3, 14), (14, 14), (28, 1), (14, 8), (9, 3), (8, 7), (8, 10), (10, 1), (19, 16), (8, 13), (16, 5), (6, 6), (16, 8), (7, 5), (26, 15)]. Compute the absolute difference between the mean of column study_minutes and column music_listening_minutes, only looking at the days where the music listening minutes was greater than 25 and the number of calories burned was less than 800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "1b905f77df6c031b1497256dec527cfcf6a0688e9398cf3b31de342ccb12bf8d",
    "id": "bbeh:buggy_tables:198",
    "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 13015, 94, 306, 65, 4, 2, 1127, 3, 47, 7, 814, 20, 13, 2025-01-26, 19449, 29, 94, 318, 23:33, 47, 9, 8, 785, Tue, 616, 1, 3, 2578, 54, 23, 2025-01-25, 8121, 63, 74, 574, 22:49, 54, 8, 2, 416, Wed, 1614, 5, 42, 9, 1592, 13, 39, 2025-01-24, 12345, 36, 16, 388, 97, 8, 10, 735, Thu, 1855, 12, 28, 5, 2651, 37, 50, 2025-01-23, 1960, 99, 27, 499, 25, 6, 8, Fri, 1152, 35, 2, 2876, 48, 32, 2025-01-22, 12271, 10, 56, 510, 23:19, 18, 4, 9, 196, Sat, 1505, 6, 65, 9, 761, 30, 2025-01-21, 8866, 78, 419, 22:15, 19, 10, 9, Sun, 959, 14, 12, 5, 2094, 45, 16, 2025-01-20, 3946, 30, 14, 507, 21:35, 33, 9, 6, 124, 1876, 4, 48, 6, 1438, 53, 57, 2025-01-19, 50, 21, 22:52, 21, 6, 6, 741, Tue, 1208, 4, 28, 7, 1858, 60, 32, 2025-01-18, 18196, 93, 39, 22:14, 10, 8, 755, Wed, 969, 12, 45, 4, 53, 24, 2025-01-17, 953, 15, 536, 22:39, 50, 4, 8, 952, Thu, 13, 62, 6, 1244, 19, 2025-01-16, 4639, 93, 23, 367, 21:19, 10, 768, Fri, 10, 11, 4, 1091, 37, 2025-01-15, 15594, 99, 84, 503, 21:29, 59, 10, 8, 118, Sat, 766, 9, 43, 8, 2705, 58, 32, 2025-01-14, 93, 100, 308, 21:30, 74, 8, 2, 369, 1419, 8, 64, 7, 2920, 47, 15, 2025-01-13, 16626, 57, 41, 386, 22:12, 96, 7, 10, 964, Mon, 722, 8, 49, 8, 1052, 18, 24, 2025-01-12, 3147, 86, 69, 334, 21:51, 92, 1, 174, Tue, 564, 3, 21, 1, 2138, 39, 16, 2025-01-11, 13, 26, 302, 21:49, 33, 7, 7, 326, Wed, 1650, 11, 40, 2, 928, 36, 43, 2025-01-10, 15308, 94, 32, 541, 23:33, 98, 5, 4, 204, Thu, 9, 65, 8, 1761, 56, 42, 2025-01-09, 1563, 82, 501, 23:14, 95, 3, 4, 904, Fri, 1565, 2, 26, 7, 2268, 40, 18, 2025-01-08, 13834, 79, 82, 489, 21:12, 95, 6, 6, 668, 1018, 1, 2, 5, 1718, 11, 2025-01-07, 13071, 432, 23:29, 79, 7, 10, 858, Sun, 1672, 12, 19, 2, 27, 17, 2025-01-06, 2673, 34, 495, 22:23, 16, 4, 5, 831, 1874, 8, 64, 4, 1911, 13, 29, 2025-01-05, 10310, 44, 46, 543, 22:12, 47, 9, 1, 846, 1946, 6, 4, 54, 27, 2025-01-04, 7962, 19, 580, 21:14, 94, 6, 10, 575, Wed, 373, 11, 1878, 55, 45, 2025-01-03, 15185, 73, 92, 531, 21:50, 31, 9, 2, 846, Thu, 1686, 8, 53, 4, 2142, 48].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(22, 2), (12, 7), (14, 1), (20, 17), (23, 10), (14, 10), (10, 6), (24, 2), (1, 3), (1, 9), (11, 11), (2, 14), (24, 14), (10, 15), (21, 3), (20, 10), (6, 17), (16, 8), (12, 6), (4, 5), (22, 10), (21, 15), (23, 15), (5, 9), (19, 2), (9, 1), (5, 12), (9, 4), (11, 16), (1, 5), (24, 13), (21, 2), (7, 9), (12, 11), (23, 14), (17, 1), (12, 17), (5, 5), (10, 4), (11, 3), (8, 10), (7, 2), (1, 10), (25, 17), (18, 11)]. Compute the absolute difference between the mean of column sleep_minutes and column coding_minutes, only looking at the days where the study minutes was greater than 20 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "buggy_tables"
  },
  {
    "dataset": "bbeh",
    "family": "3513753ef477e487f49b856293644c61f9cddbf5cc3a4eef750b1ee52a5793a7",
    "id": "bbeh:causal_understanding:000",
    "request": "Question: Lauren and Jane work for the same company. They each need to use a computer for work sometimes. Unfortunately, the computer isn't very powerful. If two people are logged on at the same time, it usually crashes. So the company decided to institute an official policy. It declared that Lauren would be the only one permitted to use the computer in the mornings and that Jane would be the only one permitted to use the computer in the afternoons. As expected, Lauren logged on the computer the next day at 9:00 am. But Jane decided to disobey the official policy. She also logged on at 9:00 am. The computer crashed immediately. Did Jane cause the computer to crash?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "3513753ef477e487f49b856293644c61f9cddbf5cc3a4eef750b1ee52a5793a7",
    "id": "bbeh:causal_understanding:001",
    "request": "Question: Lauren and Jane work for the same company. They each need to use a computer for work sometimes. Unfortunately, the computer isn't very powerful. If two people are logged on at the same time, it usually crashes. So the company decided to institute an official policy. It declared that Jane would be the only one permitted to use the computer in the mornings and that Lauren would be the only one permitted to use the computer in the afternoons. As expected, Jane logged on the computer the next day at 9:00 am. But Lauren decided to disobey the official policy. She also logged on at 9:00 am. The computer crashed immediately. Did Jane cause the computer to crash?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "fbacf49d0b75b1469bef49ab1f66c7f884c72d5ef944f450f998af5e9397eacf",
    "id": "bbeh:causal_understanding:006",
    "request": "Question: An intern is taking care of a patient in a hospital. The intern notices that the patient is having some kidney problems. Recently, the intern read a series of studies about a new drug that can alleviate problems like this one, and he decides to administer the drug in this case. Before the intern can administer the drug, he needs to get the signature of the pharmacist (to confirm that the hospital has enough in stock) and the signature of the attending doctor (to confirm that the drug is appropriate for this patient). So he sends off requests to both the pharmacist and the attending doctor. The pharmacist receives the request, checks to see that they have enough in stock, and immediately signs off. The attending doctor receives the request at the same time and immediately realizes that there are strong reasons to refuse. Although some studies show that the drug can help people with kidney problems, there are also a number of studies showing that the drug can have very dangerous side effects. For this reason, the hospital has a policy forbidding the use of this drug for kidney problems. Despite this policy, the doctor decides to sign off. Since both signatures were received, the patient is administered the drug. As it happens, the patient immediately recovers, and the drug has no adverse effects. Did the pharmacist's decision cause the patient's recovery?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "fbacf49d0b75b1469bef49ab1f66c7f884c72d5ef944f450f998af5e9397eacf",
    "id": "bbeh:causal_understanding:007",
    "request": "Question: An intern is taking care of a patient in a hospital. The intern notices that the patient is having some kidney problems. Recently, the intern read a series of studies about a new drug that can alleviate problems like this one, and he decides to administer the drug in this case. Before the intern can administer the drug, he needs to get the signature of the pharmacist (to confirm that the hospital has enough in stock) and the signature of the attending doctor (to confirm that the drug is appropriate for this patient). So he sends off requests to both the pharmacist and the attending doctor. The pharmacist receives the request, checks to see that they have enough in stock, and immediately signs off. The attending doctor receives the request at the same time and immediately realizes that there are strong reasons to refuse. Although some studies show that the drug can help people with kidney problems, there are also a number of studies showing that the drug can have very dangerous side effects. For this reason, the hospital has a policy forbidding the use of this drug for kidney problems. Despite this policy, the doctor decides to sign off. Since both signatures were received, the patient is administered the drug. As it happens, the patient immediately recovers, and the drug has no adverse effects. Did the attending doctor's decision cause the patient's recovery?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "63ca6c83c3c7175453928a3369bb2962826373699f27789181b19be9416c21da",
    "id": "bbeh:causal_understanding:086",
    "request": "Question: A person, Joe, is playing a casino game where he reaches his hand into two boxes and blindly draws a ball from each box. He wins a dollar if and only if he gets a green ball from the left box and a blue ball from the right box. It is likely that he gets a green ball from the first box. It is very unlikely that he gets a blue ball in the second box. Joe closes his eyes, reaches in, and chooses a green ball from the first box and a blue ball from the second box. So Joe wins a dollar. Did Joe's first choice cause him to win a dollar?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "63ca6c83c3c7175453928a3369bb2962826373699f27789181b19be9416c21da",
    "id": "bbeh:causal_understanding:087",
    "request": "Question: A person, Joe, is playing a casino game where he reaches his hand into two boxes and blindly draws a ball from each box. He wins a dollar if and only if he gets a green ball from the left box and a blue ball from the right box. It is unlikely that he gets a green ball from the first box. It is very likely that he gets a blue ball in the second box. Joe closes his eyes, reaches in, and chooses a green ball from the first box and a blue ball from the second box. So Joe wins a dollar. Did Joe's first choice cause him to win a dollar?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "7b496cfe8ca4757d4594b590df8d2d49d514d80b3a2fd95245895a0b2da64f7b",
    "id": "bbeh:causal_understanding:116",
    "request": "Question: Todd, Anne, Jason, and Steph all share an account for a popular online television streaming service. In addition to keeping the account constantly logged in on their TV, they also use the same account on their laptops. Because the provider of this streaming service wants to increase the amount of active accounts in order to increase profits, they have begun to monitor the number of devices using a single account at once. Given that the account is always logged in on their TV, the streaming service will suspend their account if three people log into the account from their laptops at the same time. Todd, Anne, and Jason regularly use their account from their laptops on Saturdays. This Saturday, as usual, Todd logged into their account from his laptop to watch TV. Just then, Anne also logged into their account from her laptop, and Jason also logged into their account from his laptop to watch TV. Sure enough, since three people logged into the streaming account at the same time, the account was suspended. Did Todd logging into the streaming account from his laptop cause the account to be suspended?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "7b496cfe8ca4757d4594b590df8d2d49d514d80b3a2fd95245895a0b2da64f7b",
    "id": "bbeh:causal_understanding:117",
    "request": "Question: Todd, Anne, Jason, and Steph all share an account for a popular online television streaming service. In addition to keeping the account constantly logged in on their TV, they also use the same account on their laptops. Because the provider of this streaming service wants to increase the amount of active accounts in order to increase profits, they have begun to monitor the number of devices using a single account at once. Given that the account is always logged in on their TV, the streaming service will suspend their account if three people log into the account from their laptops at the same time. Anne regularly uses their account from her laptop on Saturdays. Todd, however, normally doesn't watch TV at all on the weekends. This Saturday, unexpectedly, Todd logged into their account from his laptop to watch TV. Just then, Anne also logged into their account from her laptop, and Jason also logged into their account from his laptop to watch TV. Sure enough, since three people logged into the streaming account at the same time, the account was suspended. Did Todd logging into the streaming account from his laptop cause the account to be suspended?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "5b1e1a3f985a6d8c9706cc4bd5946ab5bf732e647dc3eb3fa81a9faf3ac364df",
    "id": "bbeh:causal_understanding:122",
    "request": "Question: A group of students who lived on the same floor of a dormitory obtained a copy of the final exam for their biology class. The students did not cheat on the test. One student, John Granger, went along with the group. Granger follows the norm and does not cheat on the test. The biology class comprises 80 students and is graded on a curve such that 20 people will receive a grade of A, 20 a grade of B, 20 a grade of C, and 20 students will receive a D. Granger's score was the 20th highest score in the class, which means he was the last student to receive a grade of A. The 21st student was a pre-med student who received a B, and as a result, missed the GPA cutoff she needed to get into the medical school she was hoping for by .07 GPA points. Did Granger cause the student to fail to meet the medical school cutoff?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "5b1e1a3f985a6d8c9706cc4bd5946ab5bf732e647dc3eb3fa81a9faf3ac364df",
    "id": "bbeh:causal_understanding:123",
    "request": "Question: A group of students who lived on the same floor of a dormitory obtained a copy of the final exam for their biology class. The students cheated on the test. One student, John Granger, did not go along with the group. Granger deviates from the norm and refuses to cheat on the test. The biology class comprises 80 students and is graded on a curve such that 20 people will receive a grade of A, 20 a grade of B, 20 a grade of C, and 20 students will receive a D. Granger's score was the 20th-highest score in the class, which means he was the last student to receive a grade of A. The 21st student was a pre-med student who received a B and, as a result, missed the GPA cutoff she needed to get into the medical school she was hoping for by .07 GPA points. Did Granger cause the student to fail to meet the medical school cutoff?  Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "e94ecdca346b5e6b80e75842977fd8f32fcd8ec401d1331dec6879509082a196",
    "id": "bbeh:causal_understanding:147",
    "request": "Question: Alice fires a bullet at the window (AF). If Alice hits the window (AH), the window shatters (WS). If Alice does not hit the window, Bob fires a bullet at the window (BF), hitting it (BH) leading to its shattering. Is Alice hitting the window a necessary cause for the window shattering? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "d70f5a8ba1c72b7fcd8cf6db234914fe98743878756f715335bf2a58e55e06d1",
    "id": "bbeh:causal_understanding:148",
    "request": "Question: Suppose Alice reaches out and catches a passing cricket ball. The next thing on the ball’s trajectory was a solid brick wall that would have stopped the ball. Beyond that there was a window. Is Alice catching the passing cricket ball a necessary cause for the window being intact? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "bebc46387be6d94ebcffd4e61112519880ab887967fc95db49759478972694d0",
    "id": "bbeh:causal_understanding:150",
    "request": "Question: Alice intends to fire a bullet at a window (AI). Bob intends to prevent Alice from hitting the window (BI). Bob tries to stop Alice (BSA). Bob is stopped by Carol (CSB). Alice fires a bullet (AF), hits the window (AH) and shatters it (WS). Is Alice firing the bullet a necessary cause for the window shattering? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "8fcd43831d5442d2204f49d2047bdd57510cb9b309429d569e8efba4ca69cee7",
    "id": "bbeh:causal_understanding:156",
    "request": "Question: A boulder slides toward a hiker, who, seeing it, ducks. The boulder misses him and he survives. Is the boulder sliding a necessary cause for the hiker's survival? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "e94ecdca346b5e6b80e75842977fd8f32fcd8ec401d1331dec6879509082a196",
    "id": "bbeh:causal_understanding:162",
    "request": "Question: Alice fires a bullet at the window (AF). If Alice hits the window (AH), the window shatters (WS). If Alice does not hit the window, Bob fires a bullet at the window (BF), hitting it (BH) leading to its shattering. Is Alice hitting the window a sufficient cause for the window shattering? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "d70f5a8ba1c72b7fcd8cf6db234914fe98743878756f715335bf2a58e55e06d1",
    "id": "bbeh:causal_understanding:163",
    "request": "Question: Suppose Alice reaches out and catches a passing cricket ball. The next thing on the ball’s trajectory was a solid brick wall that would have stopped the ball. Beyond that there was a window. Is Alice catching the passing cricket ball a sufficient cause for the window being intact? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "bebc46387be6d94ebcffd4e61112519880ab887967fc95db49759478972694d0",
    "id": "bbeh:causal_understanding:165",
    "request": "Question: Alice intends to fire a bullet at a window (AI). Bob intends to prevent Alice from hitting the window (BI). Bob tries to stop Alice (BSA). Bob is stopped by Carol (CSB). Alice fires a bullet (AF), hits the window (AH) and shatters it (WS). Is Alice firing the bullet a sufficient cause for the window shattering? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "8fcd43831d5442d2204f49d2047bdd57510cb9b309429d569e8efba4ca69cee7",
    "id": "bbeh:causal_understanding:171",
    "request": "Question: A boulder slides toward a hiker, who, seeing it, ducks. The boulder misses him and he survives. Is the boulder sliding a sufficient cause for the hiker's survival? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "631ee3f7d40aef39ef6dab991d8e23cf1d9fd23eaf35a346c1c9822df1ce1ea3",
    "id": "bbeh:causal_understanding:173",
    "request": "Question: Reagent X is being added to a tank. At each time interval, a drop of Reagent X is being added. At one point the tank overflows. Is adding the last drop of Reagent X a necessary cause for the tank to overflow?   Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "da6f52b366bc56555db65bc69714b11b776f734c02f917e58e3e9ef6645e5355",
    "id": "bbeh:causal_understanding:181",
    "request": "Question: A test tube contains a mixture. Sam adds sand to the mixture. Adding sand to the mixture protects it against explosion. Only if Sam adds sand in the mixture, Riya will add Reagent Y to the mixture. Adding Reagent Y to a mixture makes it explode, unless the mixture already contains sand. There is no explosion. Is Sam adding sand to the mixture a necessary cause for avoiding explosion? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "631ee3f7d40aef39ef6dab991d8e23cf1d9fd23eaf35a346c1c9822df1ce1ea3",
    "id": "bbeh:causal_understanding:187",
    "request": "Question: Reagent X is being added to a tank. At each time interval, a drop of Reagent X is being added. At one point the tank overflows. Is adding the last drop of Reagent X a sufficient cause for the tank to overflow? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "19c7a1481b4230dab9751583a6809fba915f2920b07d45fcfcccae2d5014286c",
    "id": "bbeh:causal_understanding:188",
    "request": "Question: Reagent X is added to a mixture. If Reagent X is added the mixture, it becomes hot. If Reagent X is not added, the mixture would have remained cold. In both cases, the mixture would have turned to crystal. The mixture turns into a crystal. Is adding Reagent X to the mixture a sufficient cause for the crystal formation? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "da6f52b366bc56555db65bc69714b11b776f734c02f917e58e3e9ef6645e5355",
    "id": "bbeh:causal_understanding:195",
    "request": "Question: A test tube contains a mixture. Sam adds sand to the mixture. Adding sand to the mixture protects it against explosion. Only if Sam adds sand to the mixture, Riya will add Reagent Y to the mixture. Adding Reagent Y to a mixture makes it explode, unless the mixture already contains sand. There is no explosion. Is Sam adding sand to the mixture a sufficient cause for avoiding explosion? Reply based on the answer a logician would give.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "causal_understanding"
  },
  {
    "dataset": "bbeh",
    "family": "80894dd77b6daa202c53d23f510b2436a270e654a5b31f7968290f7ced36856e",
    "id": "bbeh:disambiguation_qa:000",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The visitor tells the teacher that she likes the cake, and then tells the chef that it was her favorite dish.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The visitor likes cake and the visitor told the chef.\n(B) The teacher likes cake and the teacher told the chef.\n(C) The visitor likes cake and the teacher told the chef.\n(D) The teacher likes cake and the visitor told the chef.\n(E) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "2eca29dda83f18eaf347a29bdc34874d63f91ef3c3864fc2ae7556583d3249f7",
    "id": "bbeh:disambiguation_qa:003",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: They previously agreed on the phone that the customer can pay with cash. But when the electrician showed up at his home, he only had large bills and she didn’t have enough loose change, so in the end had to go to the ATM to get the exact cash to pay her.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The electrician went to the ATM because the customer didn’t have enough loose change.\n(B) The customer went to the ATM because the electrician didn’t have enough loose change.\n(C) The electrician went to the ATM because the electrician didn’t have enough loose change.\n(D) The customer went to the ATM because the customer didn’t have enough loose change.\n(E) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "be2f6fc8905bd155a024d3786327cacacbd9d3f0948d6decf2ad1be05d26132f",
    "id": "bbeh:disambiguation_qa:008",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The writer dreamed of modeling his characters after his friends. These friends would travel, laugh and fight, leading to a novel that was thrilling, but he wasn’t sure what his friends would think and whether they would like it.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The writer’s friends would travel, laugh and fight and the story’s friends might not like that.\n(B) The writer’s friends would travel, laugh and fight and the writer’s friends might not like that.\n(C) The story’s friends would travel, laugh and fight and the writer’s friends might not like that.\n(D) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "9fe55833d9819dff7037beeeb98ab2533204292d190732b0c7232d998c0cf1da",
    "id": "bbeh:disambiguation_qa:010",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: In this manor, the staff is always at work. The mechanic waved at the receptionist, and was standing in the door with a wrench when he saw the cook teaching the assistant new techniques. He always liked to teach others.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The cook likes to teach and the mechanic is standing by the door.\n(B) The receptionist was standing by the door and likes to teach.\n(C) The mechanic was standing by the door and likes to teach.\n(D) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "aba616940caa72cde0894cdf0e28b8479ea2f3a65ee317c4fadbae04ac10829a",
    "id": "bbeh:disambiguation_qa:028",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The driver yelled at the tailor after she broke a glass of wine. She then decided to call her friend and describe what happened. The story ended with her apologizing.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The driver broke the glass. The driver called a friend. The driver apologized.\n(B) The driver broke the glass. The tailor called a friend. The driver apologized.\n(C) The tailor broke the glass. The tailor called a friend. The tailor apologized.\n(D) The tailor broke the glass. The driver called a friend. The driver apologized.\n(E) The tailor broke the glass. The tailor called a friend. The driver apologized.\n(F) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "d7eb6d1b36e201dcac3069a82e39b021e060a7a81d322e6091841508f9d4d7ad",
    "id": "bbeh:disambiguation_qa:037",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The assistant asked the physician if they need any help. They were setting up for a complicated procedure.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The physician asked if the assistant needed help. The physician was setting up.\n(B) The assistant asked if the physician needed help. The physician was setting up.\n(C) The assistant asked if the physician needed help. The assistant was setting up.\n(D) The physician asked if the assistant needed help. The assistant was setting up.\n(E) It is ambiguous who offered help. The physician was setting up.\n(F) The assistant asked if the physician needed help. Ambiguous who was setting up.\n(G) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "2962e50ac94e0532fe139a4d62248552b98dc70bd2482eb26ef66fcf71ef841e",
    "id": "bbeh:disambiguation_qa:042",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The principal met with the teacher to discuss the student's declining grades. She suggested a tutor, but he was resistant. They scheduled a meeting with a tutor for the following week, hoping it would improve his performance.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The teacher suggested a tutor but the principal was resistant \n(B) The principal suggested a tutor but the teacher was resistant\n(C) The principal suggested a tutor but the student was resistant \n(D) The teacher suggested a tutor but the student was resistant \n(E) It is ambiguous who suggested the tutor. The student was resistant \n(F) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "a649d158f80bc4f113f6be171215d66e1879701125ff4f396f5a70f6830a657a",
    "id": "bbeh:disambiguation_qa:043",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The principal, the teacher and the student’s parents met to discuss his declining grades. She suggested a tutor and the parents scheduled weekly classes for the following weeks hoping it would improve his performance. They were very satisfied with the final result.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The principal suggested a tutor. The parents scheduled a meeting.\n(B) The teacher suggested a tutor. The parents scheduled a meeting.\n(C) The parents scheduled a meeting. The parents were satisfied with the result.\n(D) The parents scheduled a meeting. The tutor and the teacher were satisfied with the results.\n(E) It is ambiguous who suggested a tutor. It is ambiguous who was satisfied with the result. \n(F) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "079ab4ec5eac34ee27725704158569f83c9ee2bc6235b190d05a33e7e5be6805",
    "id": "bbeh:disambiguation_qa:048",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The stay-at-home dad was preparing dinner for his husband who was working late. He chopped vegetables, stirred sauces, and set the table. He knew he would be tired after a long day at the office, and he wanted to have a delicious meal waiting. He looked forward to his return and a relaxing evening together.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The stay-at-home prepares the dinner. The husband would be tired. The husband wanted to have a meal waiting. The husband looks forward to going back home.\n(B) The husband prepares the dinner. The stay-at-home dad would be tired. The husband wanted to have a meal waiting. The husband looks forward to going back home.\n(C) The husband prepares the dinner. The stay-at-home dad would be tired. It is ambiguous who wants to have a meal waiting. The stay-at-home dad looks forward to the husband being back home.\n(D) The stay-at-home prepares the dinner. The husband would be tired. It is ambiguous if the husband looks forward to going back home or the stay-at-home dad looks forward to the husband being back home.\n(E) It is ambiguous who prepares the dinner. The husband would be tired. It is ambiguous if the husband looks forward to going back home or the stay-at-home dad looks forward to the husband being back home.\n(F) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "5b57c1b7071db16d5256656f0ad1fe7bfb1fd8078b71e99acac7e4e118953a80",
    "id": "bbeh:disambiguation_qa:049",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Two friends are travelling in Europe during the summer. One of them proposed to go to London to visit his uncle who lives there. He has not seen members of his family for a while.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The uncle has not seen members of his family for a while.\n(B) One of the two friends has not seen members of his family for a while.\n(C) It is ambiguous who has not seen members of his family.\n(D) One of the two friends is a female.\n(E) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "70b9e67438ab0f8bd2e92b6196f9fdb4b82d2011167faddd7115fa9c09132fd8",
    "id": "bbeh:disambiguation_qa:051",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: A researcher asked a friend to have lunch at her office’s cafeteria.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The researcher is a woman. The researcher’s office has a cafeteria. The researcher wants to have lunch there with a friend.\n(B) The researcher is a woman. The friend’s office has a cafeteria. The researcher wants to have lunch there with a friend.\n(C) The friend is a woman. The friend’s office has a cafeteria. The researcher wants to have lunch there with a friend.\n(D) The friend is a woman. The researcher’s office has a cafeteria. The researcher wants to have lunch there with a friend.\n(E) It is ambiguous if the friend is a woman. The researcher’s office has a cafeteria. The researcher wants to have lunch there with a friend.\n(F) It is ambiguous if the researcher is a woman. The friend’s office has a cafeteria. The researcher wants to have lunch there with a friend.\n(E) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "fd4491ee83e2c6a26a27f2d38f4056681bbf0564742eae2e3a6e8f13694948e2",
    "id": "bbeh:disambiguation_qa:052",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: An employee asked the manager if it is possible to share his document.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The employee is a man. The manager is a man. The employee is seeking access to the manager’s document.\n(B) The employee is a man. The manager is a woman. The employee seeks advice about sharing his own document.\n(C) The employee is a woman. The manager is a man. The employee is seeking access to the manager’s document.\n(D) The employee is a woman. The manager is a man. The employee is seeking access to the manager’s document. \n(E) The employee’s gender is ambiguous. The manager’s gender is ambiguous. The document belongs to the employee.\n(F) The employee’s gender is ambiguous. The manager’s gender is ambiguous. The owner of the document is ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "e45230833326a0021d278388f036bc3e8334c4418efebe3a41a661436f7ce025",
    "id": "bbeh:disambiguation_qa:062",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The chemistry teacher instructed the student to start the experiment, but they warned them not to spill the chemical, otherwise they would have to clean it up. The classroom policy was that whoever made a mess would be responsible for cleaning it up as well.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The chemistry teacher warned the student not to spill the chemical, otherwise the student would have to clean it up.\n(B) The student warned the chemistry teacher not to spill the chemical, otherwise the student would have to clean it up.\n(C) The chemistry teacher warned the student not to spill the chemical, otherwise the chemistry teacher would have to clean it up.\n(D) The student warned the chemistry teacher not to spill the chemical, otherwise the chemistry teacher would have to clean it up.\n(E) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "41144c8e01acb5decb16ed2ca5b6dafeb98b85db86b132ff2312bcaf9ef8df5a",
    "id": "bbeh:disambiguation_qa:064",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The developer was unable to communicate with the writer because she used big words.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The developer uses big words.\n(B) The writer uses big words.\n(C) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "dc8101c9f980219259c6463c322f4f1740f246bfa788909c72a12d5aceda45c2",
    "id": "bbeh:disambiguation_qa:067",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The musician and the record producer listened to the final mix of the album in the studio. He suggested a slight adjustment to the volume of the vocals on one track and they agreed, saying it would improve the overall balance.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the musician who suggested the adjustments and the producer agreed.\n(B) It was the producer who suggested the adjustements and the musician disagreed.\n(C) It was the producer who suggested the adjustments and the musician agreed.\n(D) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "f357c2cebb5b3dda820c20d1d390a80dea3c5e2ceea5259ded8b73758b9e52ac",
    "id": "bbeh:disambiguation_qa:076",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The reporter and the chef along with the restaurant owner will discuss her favorite dishes and so she is looking forward to the interview.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) They will discuss the reporter's favorite dishes.\n(B) They will discuss the chef's favorite dishes.\n(C) They will discuss the owner's favorite dishes.\n(D) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "c502196b1e8fc985bc53f1e5239cbd694c65f74a6b2f31896308c96b735044de",
    "id": "bbeh:disambiguation_qa:078",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: When the student and her teacher spoke with the principal and the counselor, she asked if the college application process had been completed.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The student asked if the application process was completed.\n(B) The teacher asked if the application process was completed.\n(C) The principal asked if the application process was completed.\n(D) The counselor asked if the application process was completed.\n(E) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "59a1165fbc23211adc036fa23c18e6aa11328af767532e5e3379e9881892376c",
    "id": "bbeh:disambiguation_qa:084",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Maria called her mother on the phone, and she told her that she had gotten a promotion at work.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Maria told her mother that Maria got a promotion.\n(B) Maria's mother told Maria that Maria's mother got a promotion.\n(C) Maria told her mother that her mother got a promotion.\n(D) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "735931674e15f033baf07281ef114c2bc49591c0bb4384a77a40b432d5ef2afe",
    "id": "bbeh:disambiguation_qa:090",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The writer drove his car to see the musician and their husband. She set up a meeting to discuss the lyrics to his new song.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) She refers to the writer.\n(B) She refers to the musician.\n(C) She refers to the husband.\n(D) The writer set up the meeting.\n(E) The husband wrote the song.\n(F) The writer wrote the song. \n(G) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "3dc373240fadf972246a8b7b6cad7105379f80731239d323c6ac71bd3210c089",
    "id": "bbeh:disambiguation_qa:094",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The designer met the architect at the store where they looked at the construction. They then went to get a coffee nearby. The architect responded that she felt that things would soon move faster. He commented that maybe the complexity in his blueprints had slowed down construction. The architect then left.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The designer left the coffee shop.\n(B) The designer is a male.\n(C) The architect is a male.\n(D) The store was almost finished.\n(E) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "055fa8d2b2d4f9183a2ddace72857ce3cc701a82f87aecbfc92441964a659729",
    "id": "bbeh:disambiguation_qa:098",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Alex and Sam went on a camping trip. She enjoyed hiking, and they loved sitting by the campfire. He then told her stories about constellations.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Alex enjoyed hiking and sitting by the campfire. Sam enjoyed sitting by the campfire and told Alex constellation stories.\n(B) Sam enjoyed hiking and sitting by the campfire. Alex enjoyed sitting by the campfire and told Sam stories about constellations.\n(C) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "645b8595fba4eb0d612af5680144c35f08a9adc792f804c90e39ed9ddcddecde",
    "id": "bbeh:disambiguation_qa:099",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Janet and John went on a road trip. She had planned the itinerary meticulously, marking points of interest and scenic routes. He was in charge of navigation and entertainment, ensuring they never got lost and that there was always good music playing. They both looked forward to the adventures that awaited them.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) John planned the itinerary. Janet was in charge of navigation.\n(B) Janet planned the itinerary. John was in charge of navigation.\n(C) John planned the itinerary and was in charge of navigation. Mary looked forward to the trip.\n(D) Mary planned the itinerary and was in charge of navigation. John looked forward to the trip.\n(E) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "55fb85ba7a3c3b2cde65f25d535e73fe808369ba54ef941be19a09facc55ee65",
    "id": "bbeh:disambiguation_qa:100",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The manager asked the employee to not forget her car. Then, he sent a message to his secretary, but they didn't reply yet.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the manager's car and the manager didn’t reply yet.\n(B) It was the manager's car and the secretary didn’t reply yet.\n(C) It was the employee's car and the manager didn’t reply yet.\n(D) It was the employee's car and the secretary didn’t reply yet.\n(E) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "d75243474e36067536dca807a78ba3a2adb6b1d3571257ece878f78afa4db670",
    "id": "bbeh:disambiguation_qa:104",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Bailey planned to meet the cook at her kitchen. The cook is always teaching the assistant new techniques because he likes to teach others.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The kitchen was the cook’s kitchen and the cook likes to teach.\n(B) The kitchen was Bailey's kitchen and the cook likes to teach.\n(C) The kitchen was Bailey's kitchen and the assistant likes to teach.\n(D) The kitchen was the cook’s kitchen and the assistant likes to teach.\n(E) Ambiguous.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "29b3da09ae90aca8be8084d4d76e0136f86f9041d8a53d41efdcce968e9f58cd",
    "id": "bbeh:disambiguation_qa:109",
    "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The cashier yelled at the tailor after they broke a window. The mechanic also disliked the cashier because she is so arrogant.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The mechanic is arrogant and the tailor broke a window.\n(B) The cashier is arrogant and the tailor broke a window.\n(C) The cashier is arrogant and the cashier broke a window.\n(D) The mechanic is arrogant and the cashier broke a window.\n(E) None of the above.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "disambiguation_qa"
  },
  {
    "dataset": "bbeh",
    "family": "1b9651d4495968c6eff2ef44de06637509f442e058c9da1b9ed66fa62c44cb60",
    "id": "bbeh:dyck_languages:004",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < [ ( { { ( ( ) ) } } ) [ ( [ { } ] ) ] < { { < < < > [ < [ < ( [ ( { ( ( < < < < > > > { ( { { < ( ) > ( ) } } ) } > { } ) ) } ) ] ) > ] > ] > < { } > > } ( ) < { ( ) } > } > ] [ < ( ) > ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: [ ; stack: < [\nThought 5: ( ; stack: < [ (\nThought 6: { ; stack: < [ ( {\nThought 7: { ; stack: < [ ( { {\nThought 8: ( ; stack: < [ ( { { (\nThought 9: ) ; stack: < [ ( { {\nThought 10: ) ; stack: < [ ( {\nThought 11: ) ; stack: < [ (\nThought 12: [ ; stack: < [ [\nThought 13: ( ; stack: < [ [ (\nThought 14: [ ; stack: < [ [ [\nThought 15: { ; stack: < [ [ [ {\nThought 16: ] ; stack: < [ [ [\nThought 17: ) ; stack: < [ [\nThought 18: ] ; stack: < [\nThought 19: < ; stack: <\nThought 20: { ; stack: < {\nThought 21: { ; stack: < { {\nThought 22: < ; stack: < { { <\nThought 23: < ; stack: < { { < <\nThought 24: < ; stack: < { { < < <\nThought 25: > ; stack: < { { < <\nThought 26: [ ; stack: < { { <\nThought 27: < ; stack: < { { < <\nThought 28: [ ; stack: < { { < < <\nThought 29: ( ; stack: < { { < < < (\nThought 30: ( ; stack: < { { < < < ( (\nThought 31: { ; stack: < { { < < < ( ( {\nThought 32: ( ; stack: < { { < < < ( ( { (\nThought 33: < ; stack: < { { < < < ( ( { ( <\nThought 34: < ; stack: < { { < < < ( ( { ( < <\nThought 35: < ; stack: < { { < < < ( ( { ( < < <\nThought 36: > ; stack: < { { < < < ( ( { ( < <\nThought 37: > ; stack: < { { < < < ( ( { ( <\nThought 38: > ; stack: < { { < < < ( ( {\nThought 39: { ; stack: < { { < < < ( (\nThought 40: { ; stack: < { { < < < (\nThought 41: ) ; stack: < { { < < <\nThought 42: ) ; stack: < { { < <\nThought 43: ) ; stack: < { { <\nThought 44: ) ; stack: < { {\nThought 45: > ; stack: < {\nThought 46: > ; stack: <\nThought 47: < ; stack: <\nThought 48: { ; stack: < {\nThought 49: } ; stack: empty\nThought 50: ) ; stack: empty\nThought 51: < ; stack: <\nThought 52: { ; stack: < {\nThought 53: ( ; stack: < { (\nThought 54: ) ; stack: < {\nThought 55: } ; stack: empty\nThought 56: > ; stack: empty\nThought 57: ] ; stack: empty\nThought 58: [ ; stack: [\nThought 59: < ; stack: [ <\nThought 60: ( ; stack: [ < (\nThought 61: ) ; stack: [ <\nThought 62: ] ; stack: empty\nThought 63: ] ; stack: empty\nThought 64: Now, we have reached the end. The final stack is \"[ <\".\nThought 65: We will need to pop out \"<\", \"[\" one by one in that order.\nThought 66: So, we need \">\", \"]\". So the answer is > ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "3a15440de2cddc2c8f981e9546e6afca4440ac789259e680746b1dc577747b24",
    "id": "bbeh:dyck_languages:010",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ) ( [ [ ] ] ) ( { [ { < { ( ) < [ [ < > { [ ( < ( < [ { < < ( [ ( ) ] [ ( < ( { [ ] } ) > ) ] [ < > ] ) > [ { ( < > ) } ] > } ] > ) > ) ] } ] ] > { } [ [ ] ] { } } > ( ( < > ) ) } ] }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ) ; stack: empty\nThought 5: ( ; stack: (\nThought 6: [ ; stack: ( [\nThought 7: [ ; stack: ( [ [\nThought 8: ] ; stack: ( [\nThought 9: ] ; stack: (\nThought 10: ) ; stack: empty\nThought 11: ( ; stack: (\nThought 12: { ; stack: ( {\nThought 13: [ ; stack: ( { [\nThought 14: { ; stack: ( { [ {\nThought 15: < ; stack: ( { [ { <\nThought 16: { ; stack: ( { [ { < {\nThought 17: ( ; stack: ( { [ { < { (\nThought 18: ) ; stack: ( { [ { < {\nThought 19: < ; stack: ( { [ { <\nThought 20: [ ; stack: ( { [ {\nThought 21: < ; stack: ( { [ { <\nThought 22: > ; stack: ( { [ {\nThought 23: { ; stack: ( { [\nThought 24: [ ; stack: ( { [ (\nThought 25: < ; stack: ( { [ ( <\nThought 26: ( ; stack: ( { [ ( < (\nThought 27: < ; stack: ( { [ ( < <\nThought 28: [ ; stack: ( { [ ( < < [\nThought 29: { ; stack: ( { [ ( < < [ {\nThought 30: < ; stack: ( { [ ( < < [ { <\nThought 31: ( ; stack: ( { [ ( < < [ { < (\nThought 32: [ ; stack: ( { [ ( < < [ { <\nThought 33: ) ; stack: ( { [ ( < < [ {\nThought 34: ] ; stack: ( { [ ( < < [\nThought 35: ) ; stack: ( { [ ( <\nThought 36: ] ; stack: ( { [ (\nThought 37: > ; stack: ( { [\nThought 38: ) ; stack: ( {\nThought 39: ] ; stack: (\nThought 40: ] ; stack: empty\nThought 41: > ; stack: empty\nThought 42: { ; stack: {\nThought 43: } ; stack: empty\nThought 44: [ ; stack: { [\nThought 45: [ ; stack: { [ [\nThought 46: ] ; stack: { [\nThought 47: ] ; stack: {\nThought 48: } ; stack: empty\nThought 49: } ; stack: empty\nThought 50: > ; stack: empty\nThought 51: ( ; stack: (\nThought 52: ( ; stack: ( (\nThought 53: < ; stack: ( ( <\nThought 54: > ; stack: ( (\nThought 55: ) ; stack: (\nThought 56: ) ; stack: empty\nThought 57: } ; stack: empty\nThought 58: Now, we have reached the end. The final stack is empty.\nThought 59: So the answer is ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "3d96cf5581ac1fe88eeb5cb04ad94ee632c6ba78e595a305b7678e15c2591c8a",
    "id": "bbeh:dyck_languages:012",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( { < [ ] > < < [ { } ] > > } ( [ ( [ [ < ( ) > ] ] ( ( < [ < [ [ [ ] ] ] > ] > ) ) ) ] ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: { ; stack: [ ( {\nThought 6: < ; stack: [ ( { <\nThought 7: [ ; stack: [ ( { < [\nThought 8: ] ; stack: [ ( { <\nThought 9: > ; stack: [ ( {\nThought 10: < ; stack: [ ( { <\nThought 11: [ ; stack: [ ( { < [\nThought 12: { ; stack: [ ( { < [ {\nThought 13: } ; stack: [ ( { < [\nThought 14: ] ; stack: [ ( {\nThought 15: > ; stack: [ (\nThought 16: } ; stack: [\nThought 17: ( ; stack: [ (\nThought 18: [ ; stack: [ ( [\nThought 19: [ ; stack: [ ( [ [\nThought 20: [ ; stack: [ ( [ [ [\nThought 21: < ; stack: [ ( [ [ [ <\nThought 22: ( ; stack: [ ( [ [ [ < (\nThought 23: ) ; stack: [ ( [ [ [ <\nThought 24: > ; stack: [ ( [ [ [\nThought 25: ] ; stack: [ ( [ [\nThought 26: ] ; stack: [ ( [\nThought 27: ( ; stack: [ ( [ (\nThought 28: < ; stack: [ ( [ ( <\nThought 29: [ ; stack: [ ( [ ( < [\nThought 30: < ; stack: [ ( [ ( < [ <\nThought 31: [ ; stack: [ ( [ ( < [ < [\nThought 32: [ ; stack: [ ( [ ( < [ < [ [\nThought 33: ] ; stack: [ ( [ ( < [ < [\nThought 34: ] ; stack: [ ( [ ( < [ <\nThought 35: ] ; stack: [ ( [ ( <\nThought 36: > ; stack: [ ( [ (\nThought 37: > ; stack: [ ( [\nThought 38: ) ; stack: [ (\nThought 39: ) ; stack: [\nThought 40: ) ; stack: empty\nThought 41: Now, we have reached the end. The final stack is empty.\nThought 42: So the answer is ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "3b1989c49e927e3b4d6311147994b8a4d80eeccdb3ce58d1a9ee96002d26088d",
    "id": "bbeh:dyck_languages:014",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < < [ [ [ ( ( ( ( ( ) ) ) < < { } > > ) ) ] ] < [ < [ < > ( < { ( ( { } ) ) } > ) ] > < < > > ] > { ( { [ [ ] ] } ) } ] >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: < ; stack: [ < <\nThought 6: [ ; stack: [ < < [\nThought 7: [ ; stack: [ < < [ [\nThought 8: ( ; stack: [ < < [ [ (\nThought 9: ( ; stack: [ < < [ [ ( (\nThought 10: ( ; stack: [ < < [ [ ( ( (\nThought 11: ( ; stack: [ < < [ [ ( ( ( (\nThought 12: ) ; stack: [ < < [ [ ( ( (\nThought 13: ) ; stack: [ < < [ [ ( (\nThought 14: ) ; stack: [ < < [ [ (\nThought 15: < ; stack: [ < < [ [ <\nThought 16: { ; stack: [ < < [ [ < {\nThought 17: } ; stack: [ < < [ [ <\nThought 18: > ; stack: [ < < [ [\nThought 19: > ; stack: [ < < [\nThought 20: ] ; stack: [ < <\nThought 21: < ; stack: [ < < <\nThought 22: [ ; stack: [ < < < [\nThought 23: < ; stack: [ < < < [ <\nThought 24: > ; stack: [ < < < [\nThought 25: ( ; stack: [ < < < [ (\nThought 26: < ; stack: [ < < < [ ( <\nThought 27: { ; stack: [ < < < [ ( < {\nThought 28: ( ; stack: [ < < < [ ( < { (\nThought 29: { ; stack: [ < < < [ ( < { {\nThought 30: } ; stack: [ < < < [ ( < {\nThought 31: ) ; stack: [ < < < [ (\nThought 32: ) ; stack: [ < < < [\nThought 33: ] ; stack: [ < < <\nThought 34: > ; stack: [ < <\nThought 35: > ; stack: [ <\nThought 36: ] ; stack: [\nThought 37: > ; stack: empty\nThought 38: { ; stack: {\nThought 39: { ; stack: { {\nThought 40: [ ; stack: { { [\nThought 41: [ ; stack: { { [ [\nThought 42: ] ; stack: { { [\nThought 43: ] ; stack: { {\nThought 44: } ; stack: {\nThought 45: } ; stack: empty\nThought 46: Now, we have reached the end. The final stack is empty.\nThought 47: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "1e0a3fc49603b2ec84afbeba447190e9e54e0ba6115c468f44b8dc35f3055eca",
    "id": "bbeh:dyck_languages:015",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( < [ [ { [ < [ < ( [ ] ) > ] < > > ( < [ < [ < ( [ ( [ ] ) < ( ) > ] [ ( { ( ) } [ < { { { ( [ ] ) } } } > ] ) ] ) > ] > ] > ) ] } ] ] > ) ( { { { } } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: < ; stack: [ ( <\nThought 6: [ ; stack: [ ( < [\nThought 7: [ ; stack: [ ( < [ [\nThought 8: { ; stack: [ ( < [ [ {\nThought 9: [ ; stack: [ ( < [ [ { [\nThought 10: < ; stack: [ ( < [ [ { [ <\nThought 11: [ ; stack: [ ( < [ [ { [ < [\nThought 12: < ; stack: [ ( < [ [ { [ < [ <\nThought 13: ( ; stack: [ ( < [ [ { [ < [ < (\nThought 14: [ ; stack: [ ( < [ [ { [ < [ < ( [\nThought 15: ] ; stack: [ ( < [ [ { [ < [ < (\nThought 16: ) ; stack: [ ( < [ [ { [ < [ <\nThought 17: > ; stack: [ ( < [ [ { [ < [\nThought 18: > ; stack: [ ( < [ [ { [ <\nThought 19: > ; stack: [ ( < [ [ {\nThought 20: ( ; stack: [ ( < [ [ { (\nThought 21: < ; stack: [ ( < [ [ { ( <\nThought 22: [ ; stack: [ ( < [ [ { ( < [\nThought 23: < ; stack: [ ( < [ [ { ( < [ <\nThought 24: ( ; stack: [ ( < [ [ { ( < [ < (\nThought 25: [ ; stack: [ ( < [ [ { ( < [ < ( [\nThought 26: [ ; stack: [ ( < [ [ { ( < [ < ( [ [\nThought 27: ) ; stack: [ ( < [ [ { ( < [ < ( [\nThought 28: < ; stack: [ ( < [ [ { ( < [ <\nThought 29: ( ; stack: [ ( < [ [ { ( <\nThought 30: ) ; stack: [ ( < [ [ {\nThought 31: > ; stack: [ ( < [ [\nThought 32: ] ; stack: [ ( < [\nThought 33: ] ; stack: [ ( <\nThought 34: > ; stack: [ (\nThought 35: ) ; stack: [\nThought 36: ) ; stack: empty\nThought 37: ( ; stack: (\nThought 38: { ; stack: ( {\nThought 39: { ; stack: ( { {\nThought 40: { ; stack: ( { { {\nThought 41: } ; stack: ( { {\nThought 42: } ; stack: ( {\nThought 43: } ; stack: (\nThought 44: Now, we have reached the end. The final stack is \"(\".\nThought 45: We will need to pop out \"(\" one by one in that order.\nThought 46: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "a9a74234122fcc7135b04c40a873744b5451ebe384c236a79c04a41cd394f2dd",
    "id": "bbeh:dyck_languages:016",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < { { } } > } < { } > { < { { [ < [ [ ] ] > ] } } > } ( ) { { [ { [ { } ] } ] ( [ { } ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: { ; stack: { < {\nThought 6: { ; stack: { < { {\nThought 7: } ; stack: { < {\nThought 8: } ; stack: { <\nThought 9: } ; stack: {\nThought 10: < ; stack: { <\nThought 11: { ; stack: { < {\nThought 12: } ; stack: { <\nThought 13: } ; stack: {\nThought 14: { ; stack: { {\nThought 15: < ; stack: { { <\nThought 16: { ; stack: { { < {\nThought 17: { ; stack: { { < { {\nThought 18: [ ; stack: { { < { { [\nThought 19: < ; stack: { { < { { [ <\nThought 20: [ ; stack: { { < { { [ < [\nThought 21: ] ; stack: { { < { { [ <\nThought 22: ] ; stack: { { < { { [\nThought 23: > ; stack: { { < { {\nThought 24: ] ; stack: { { < {\nThought 25: } ; stack: { { <\nThought 26: } ; stack: { {\nThought 27: ( ; stack: { { (\nThought 28: ) ; stack: { {\nThought 29: { ; stack: { { {\nThought 30: [ ; stack: { { { [\nThought 31: { ; stack: { { { [ {\nThought 32: [ ; stack: { { { [ { [\nThought 33: { ; stack: { { { [ { [ {\nThought 34: } ; stack: { { { [ { [\nThought 35: ] ; stack: { { { [ {\nThought 36: ] ; stack: { { { [\nThought 37: ( ; stack: { { { (\nThought 38: [ ; stack: { { { ( [\nThought 39: { ; stack: { { { ( [ {\nThought 40: } ; stack: { { { ( [\nThought 41: ] ; stack: { { { (\nThought 42: ) ; stack: { { {\nThought 43: Now, we have reached the end. The final stack is \"{ { {\".\nThought 44: We will need to pop out \"}\", \"}\", \"{\" one by one in that order.\nThought 45: So, we need \"}\", \"}\", \"{\". So the answer is } } }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "948e1b322311fe839dafd2cc4e6dfb1a8186de39934711e5545f0756215b4abc",
    "id": "bbeh:dyck_languages:017",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < < [ [ ] ( ) { < > ( [ { } { < > } { } ] ) } [ [ [ ( [ ( ) [ [ { < [ { { } } < { { < ( ) > } } > ] > } ] ] ] ) ] < < [ [ ( < < ( ) > > ) ] ] > > [ ] ] ] ] < ( [ ] ) > { ( ( < { } > ) ) } > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: < ; stack: [ < <\nThought 6: [ ; stack: [ < < [\nThought 7: [ ; stack: [ < < [ [\nThought 8: ] ; stack: [ < < [\nThought 9: ( ; stack: [ < < (\nThought 10: ) ; stack: [ < <\nThought 11: { ; stack: [ < {\nThought 12: < ; stack: [ < { <\nThought 13: > ; stack: [ < {\nThought 14: ( ; stack: [ < { (\nThought 15: [ ; stack: [ < { ( [\nThought 16: { ; stack: [ < { ( [ {\nThought 17: } ; stack: [ < { ( [\nThought 18: { ; stack: [ < { ( [ {\nThought 19: < ; stack: [ < { ( [ { <\nThought 20: > ; stack: [ < { ( [ {\nThought 21: } ; stack: [ < { ( [\nThought 22: } ; stack: [ < {\nThought 23: [ ; stack: [ < [\nThought 24: [ ; stack: [ < [ [\nThought 25: ( ; stack: [ < [ [ (\nThought 26: [ ; stack: [ < [ [ ( [\nThought 27: ( ; stack: [ < [ [ ( [ (\nThought 28: ) ; stack: [ < [ [ ( [\nThought 29: [ ; stack: [ < [ [ (\nThought 30: { ; stack: [ < [ [ ( {\nThought 31: < ; stack: [ < [ [ ( { <\nThought 32: [ ; stack: [ < [ [ ( { < [\nThought 33: { ; stack: [ < [ [ ( { < [ {\nThought 34: } ; stack: [ < [ [ ( { < [\nThought 35: { ; stack: [ < [ [ ( { < [ {\nThought 36: < ; stack: [ < [ [ ( { < [ { <\nThought 37: { ; stack: [ < [ [ ( { < [ {\nThought 38: } ; stack: [ < [ [ ( { < [\nThought 39: > ; stack: [ < [ [ ( {\nThought 40: ] ; stack: [ < [ [ (\nThought 41: ) ; stack: [ < [ [\nThought 42: ] ; stack: [ < [\nThought 43: < ; stack: [ <\nThought 44: [ ; stack: [\nThought 45: [ ; stack: [ [\nThought 46: ] ; stack: [\nThought 47: ) ; stack: empty\nThought 48: > ; stack: empty\nThought 49: { ; stack: {\nThought 50: ( ; stack: { (\nThought 51: ( ; stack: { ( (\nThought 52: < ; stack: { ( ( <\nThought 53: { ; stack: { ( ( < {\nThought 54: } ; stack: { ( ( <\nThought 55: ) ; stack: { ( (\nThought 56: ) ; stack: { (\nThought 57: } ; stack: {\nThought 58: > ; stack: empty\nThought 59: > ; stack: empty\nThought 60: Now, we have reached the end. The final stack is empty.\nThought 61: We will need to pop out nothing.\nThought 62: So, we need nothing. So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "726f3a5a9571b3e2686640dd6f7a22ae834b16f58d1722b44d59342edbdad4c4",
    "id": "bbeh:dyck_languages:022",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( ( ( { ( [ ] ) } [ < ( ) > ] { { [ { [ ( < > ) ] } ] ( ) } } { < < [ < [ ] { } > ] > [ ] ( { ( { < > } ) } ) { } ( { } ) > } ) ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: ( ; stack: ( ( (\nThought 6: ( ; stack: ( ( ( (\nThought 7: { ; stack: ( ( ( ( {\nThought 8: ( ; stack: ( ( ( ( { (\nThought 9: [ ; stack: ( ( ( ( { ( [\nThought 10: ] ; stack: ( ( ( ( { (\nThought 11: ) ; stack: ( ( ( ( {\nThought 12: } ; stack: ( ( ( (\nThought 13: [ ; stack: ( ( ( [\nThought 14: < ; stack: ( ( ( [ <\nThought 15: ( ; stack: ( ( ( [ < (\nThought 16: ) ; stack: ( ( ( [ <\nThought 17: > ; stack: ( ( ( [\nThought 18: ] ; stack: ( ( (\nThought 19: { ; stack: ( ( {\nThought 20: { ; stack: ( ( { {\nThought 21: [ ; stack: ( ( { { [\nThought 22: { ; stack: ( ( { { [ {\nThought 23: [ ; stack: ( ( { { [ { [\nThought 24: ( ; stack: ( ( { { [ { [ (\nThought 25: < ; stack: ( ( { { [ { [ ( <\nThought 26: > ; stack: ( ( { { [ { [ (\nThought 27: ) ; stack: ( ( { { [ { [\nThought 28: ] ; stack: ( ( { { [ {\nThought 29: ] ; stack: ( ( { {\nThought 30: ( ; stack: ( ( { { (\nThought 31: ) ; stack: ( ( {\nThought 32: } ; stack: ( (\nThought 33: { ; stack: ( {\nThought 34: < ; stack: ( { <\nThought 35: < ; stack: ( { < <\nThought 36: [ ; stack: ( { < < [\nThought 37: [ ; stack: ( { < < [ [\nThought 38: ] ; stack: ( { < < [\nThought 39: ] ; stack: ( { < <\nThought 40: { ; stack: ( { <\nThought 41: } ; stack: ( {\nThought 42: > ; stack: ( >\nThought 43: } ; stack: empty\nThought 44: Now, we have reached the end. The final stack is empty.\nThought 45: So the answer is ) ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "e9ec7ca99d79c3ace52093de07ed58ede5d2cad845168dad048054ceb8c1f8e4",
    "id": "bbeh:dyck_languages:023",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < < [ { [ < < { ( < > ) } > > ( [ < { < [ [ ( < ( [ ( ) ] < [ ( ( [ ] { } ) ) ( < { } > ) < ( [ [ ] ] ) { } > ] > ) > < < > > [ < [ < { [ ] } > ] > ] ) ] ] > } > ] ) ] } ] > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: < ; stack: [ < <\nThought 6: [ ; stack: [ < < [\nThought 7: { ; stack: [ < < [ {\nThought 8: [ ; stack: [ < < [ { [\nThought 9: < ; stack: [ < < [ { [ <\nThought 10: < ; stack: [ < < [ { [ < <\nThought 11: { ; stack: [ < < [ { [ < < {\nThought 12: ( ; stack: [ < < [ { [ < < { (\nThought 13: < ; stack: [ < < [ { [ < < { ( <\nThought 14: > ; stack: [ < < [ { [ < < { ( < >\nThought 15: ) ; stack: [ < < [ { [ < < {\nThought 16: } ; stack: [ < < [ { [ <\nThought 17: > ; stack: [ < < [ { [\nThought 18: > ; stack: [ < < [ {\nThought 19: ( ; stack: [ < < [ { (\nThought 20: [ ; stack: [ < < [ { ( [\nThought 21: < ; stack: [ < < [ { ( [ <\nThought 22: { ; stack: [ < < [ { ( [ < {\nThought 23: < ; stack: [ < < [ { ( [ < { <\nThought 24: [ ; stack: [ < < [ { ( [ < { < [\nThought 25: ( ; stack: [ < < [ { ( [ < { < [ (\nThought 26: ( ; stack: [ < < [ { ( [ < { < [ ( (\nThought 27: [ ; stack: [ < < [ { ( [ < { < [ ( ( [\nThought 28: ( ; stack: [ < < [ { ( [ < { < [ ( ( [ (\nThought 29: ) ; stack: [ < < [ { ( [ < { < [ ( ( [\nThought 30: ] ; stack: [ < < [ { ( [ < { < [ (\nThought 31: < ; stack: [ < < [ { ( [ < { <\nThought 32: [ ; stack: [ < < [ { ( [ <\nThought 33: ( ; stack: [ < < [ { ( [\nThought 34: ] ; stack: [ < < [ {\nThought 35: > ; stack: [ < < [\nThought 36: ] ; stack: [ < <\nThought 37: ] ; stack: [ <\nThought 38: ] ; stack: [\nThought 39: Now, we have reached the end. The final stack is \"[\".\nThought 40: We will need to pop out \"[\" one by one in that order.\nThought 41: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "6cb3e0ee9acb782112941374a3ecb19381056f53fb628b08a5fe6c09bbad6bb7",
    "id": "bbeh:dyck_languages:028",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ ( ) ] ( { { } } ) ] [ ] { ( [ < < ( ) > > ] ) } { } < { < > } { < > < [ [ < > ] ] { } > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: ( ; stack: [ [ (\nThought 6: ) ; stack: [ [\nThought 7: ] ; stack: [\nThought 8: ( ; stack: (\nThought 9: { ; stack: ( {\nThought 10: { ; stack: ( { {\nThought 11: } ; stack: ( {\nThought 12: } ; stack: (\nThought 13: ] ; stack: empty\nThought 14: [ ; stack: [\nThought 15: ] ; stack: empty\nThought 16: { ; stack: {\nThought 17: ( ; stack: { (\nThought 18: [ ; stack: { ( [\nThought 19: < ; stack: { ( [ <\nThought 20: < ; stack: { ( [ < <\nThought 21: ( ; stack: { ( [ < < (\nThought 22: ) ; stack: { ( [ < <\nThought 23: ] ; stack: { ( [\nThought 24: ) ; stack: { (\nThought 25: } ; stack: {\nThought 26: } ; stack: empty\nThought 27: < ; stack: <\nThought 28: { ; stack: < {\nThought 29: < ; stack: < { <\nThought 30: > ; stack: < {\nThought 31: } ; stack: <\nThought 32: { ; stack: {\nThought 33: < ; stack: { <\nThought 34: > ; stack: {\nThought 35: < ; stack: { <\nThought 36: [ ; stack: { < [\nThought 37: [ ; stack: { < [ [\nThought 38: < ; stack: { < [ [ <\nThought 39: > ; stack: { < [ [\nThought 40: ] ; stack: { < [\nThought 41: ] ; stack: { <\nThought 42: { ; stack: {\nThought 43: } ; stack: empty\nThought 44: } ; stack: empty\nThought 45: Now, we have reached the end. The final stack is \"{\".\nThought 46: We will need to pop out \"{\" one by one in that order.\nThought 47: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "a2db1558b1e86e3b4160528df0b7900add51537b1eefefd146c22f9ca3a62cc9",
    "id": "bbeh:dyck_languages:031",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( [ ( < [ ] [ ] > [ ( { } ) ] ) ( < [ { { < < < [ ] > > > [ < [ ] > ] } } ] > ) ] ( { [ ] } { ( [ < < > > ] ) ( ) } ( [ ( { } ) < [ ( { < < [ ] [ ] > > } [ [ ] ] ( ) ) ] [ ] ( { } ) > ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: [ ; stack: ( [\nThought 5: ( ; stack: ( [ (\nThought 6: < ; stack: ( [ ( <\nThought 7: [ ; stack: ( [ ( < [\nThought 8: ] ; stack: ( [ ( < [ ]\nThought 9: ] ; stack: ( [ ( < [ ] ]\nThought 10: > ; stack: ( [ ( < [ ] ] >\nThought 11: [ ; stack: ( [ ( < [ ] ] > [\nThought 12: ( ; stack: ( [ ( < [ ] ] > [ (\nThought 13: { ; stack: ( [ ( < [ ] ] > [ ( {\nThought 14: } ; stack: ( [ ( < [ ] ] > [ (\nThought 15: ) ; stack: ( [ ( < [ ] ] > [\nThought 16: ) ; stack: ( [ ( < [ ] ] >\nThought 17: ( ; stack: ( [ ( < [ ] ] > (\nThought 18: < ; stack: ( [ ( < [ ] ] > ( <\nThought 19: [ ; stack: ( [ ( < [ ] ] > ( < [\nThought 20: { ; stack: ( [ ( < [ ] ] > ( < [ {\nThought 21: { ; stack: ( [ ( < [ ] ] > ( < [ { {\nThought 22: < ; stack: ( [ ( < [ ] ] > ( < [ { { <\nThought 23: < ; stack: ( [ ( < [ ] ] > ( < [ { { < <\nThought 24: < ; stack: ( [ ( < [ ] ] > ( < [ { { < < <\nThought 25: > ; stack: ( [ ( < [ ] ] > ( < [ { { < < < >\nThought 26: > ; stack: ( [ ( < [ ] ] > ( < [ { { < < <\nThought 27: [ ; stack: ( [ ( < [ ] ] > ( < [ { { < < < [\nThought 28: < ; stack: ( [ ( < [ ] ] > ( < [ { { < < < [ <\nThought 29: ] ; stack: ( [ ( < [ ] ] > ( < [ { { < < < [ ]\nThought 30: ] ; stack: ( [ ( < [ ] ] > ( < [ { { < < <\nThought 31: > ; stack: ( [ ( < [ ] ] > ( < [ { { < <\nThought 32: ) ; stack: ( [ ( < [ ] ] > ( < [ { {\nThought 33: ] ; stack: ( [ ( < [ ] ] > ( < [\nThought 34: ) ; stack: ( [ ( < [ ] ] > ( <\nThought 35: ) ; stack: ( [ ( < [ ] ] >\nThought 36: ] ; stack: ( [ ( < [ ] ]\nThought 37: ) ; stack: ( [ ( < [ ]\nThought 38: ) ; stack: ( [ (\nThought 39: { ; stack: ( [ {\nThought 40: [ ; stack: ( [ { [\nThought 41: ] ; stack: ( [ {\nThought 42: } ; stack: ( [\nThought 43: { ; stack: ( {\nThought 44: [ ; stack: { [\nThought 45: ( ; stack: { [ (\nThought 46: [ ; stack: { [ ( [\nThought 47: < ; stack: { [ ( [ <\nThought 48: [ ; stack: { [ ( [ < [\nThought 49: ( ; stack: { [ ( [ < [ (\nThought 50: { ; stack: { [ ( [ < [ ( {\nThought 51: < ; stack: { [ ( [ < [ ( { <\nThought 52: [ ; stack: { [ ( [ < [ ( { < [\nThought 53: ] ; stack: { [ ( [ < [ ( { <\nThought 54: ] ; stack: { [ ( [ < [ ( {\nThought 55: ) ; stack: { [ ( [ < [ (\nThought 56: ) ; stack: { [ ( [ <\nThought 57: ] ; stack: { [ ( [\nThought 58: ) ; stack: { [ (\nThought 59: ) ; stack: { [\nThought 60: ) ; stack: {\nThought 61: ) ; stack: empty\nThought 62: Now, we have reached the end. The final stack is empty.\nThought 63: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "11bfbe22aa061db74b2b19229e4ef42fc1b28a16256ba6f9c02905847c53c529",
    "id": "bbeh:dyck_languages:032",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { [ < < < { } < ( < [ { ( < ( ( < { [ ] } < < [ ] > > > < [ ] > ) ) > ) } ] > ) > > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: [ ; stack: { [\nThought 5: < ; stack: { [ <\nThought 6: < ; stack: { [ < <\nThought 7: < ; stack: { [ < < <\nThought 8: { ; stack: { [ < < < {\nThought 9: } ; stack: { [ < < <\nThought 10: < ; stack: { [ < < < <\nThought 11: ( ; stack: { [ < < < < (\nThought 12: < ; stack: { [ < < < < ( <\nThought 13: [ ; stack: { [ < < < < ( < [\nThought 14: { ; stack: { [ < < < < ( < [ {\nThought 15: ( ; stack: { [ < < < < ( < [ { (\nThought 16: < ; stack: { [ < < < < ( < [ { ( <\nThought 17: ( ; stack: { [ < < < < ( < [ { ( < (\nThought 18: ( ; stack: { [ < < < < ( < [ { ( < ( (\nThought 19: < ; stack: { [ < < < < ( < [ { ( < ( ( <\nThought 20: { ; stack: { [ < < < < ( < [ { ( < ( ( < {\nThought 21: [ ; stack: { [ < < < < ( < [ { ( < ( ( < { [\nThought 22: ] ; stack: { [ < < < < ( < [ { ( < ( ( < {\nThought 23: } ; stack: { [ < < < < ( < [ { ( < ( ( <\nThought 24: < ; stack: { [ < < < < ( < [ { ( < ( (\nThought 25: [ ; stack: { [ < < < < ( < [ { ( < (\nThought 26: ] ; stack: { [ < < < < ( < [ { ( <\nThought 27: > ; stack: { [ < < < < ( < [ {\nThought 28: ) ; stack: { [ < < < < ( < [\nThought 29: ) ; stack: { [ < < < < (\nThought 30: > ; stack: { [ < < < <\nThought 31: > ; stack: { [ < < <\nThought 32: > ; stack: { [ < <\nThought 33: > ; stack: { [ <\nThought 34: ) ; stack: { [\nThought 35: > ; stack: {\nThought 36: > ; stack: empty\nThought 37: Now, we have reached the end. The final stack is empty.\nThought 38: So the answer is < ] > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "e0590b1439f1b7a9f07f634a3df3e7a9c77ca6d327f2c9e659332252a10786d7",
    "id": "bbeh:dyck_languages:033",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( [ [ { [ [ < { ( ) } > ] ] } ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: [ ; stack: ( [\nThought 5: [ ; stack: ( [ [\nThought 6: { ; stack: ( [ [ {\nThought 7: [ ; stack: ( [ [ { [\nThought 8: [ ; stack: ( [ [ { [ [\nThought 9: < ; stack: ( [ [ { [ [ <\nThought 10: { ; stack: ( [ [ { [ [ < {\nThought 11: ( ; stack: ( [ [ { [ [ < { (\nThought 12: ) ; stack: ( [ [ { [ [ < {\nThought 13: } ; stack: ( [ [ { [ [ <\nThought 14: > ; stack: ( [ [ { [ [\nThought 15: ] ; stack: ( [ [ { [\nThought 16: ] ; stack: ( [ [ {\nThought 17: ] ; stack: ( [ [\nThought 18: ] ; stack: ( [\nThought 19: Now, we have reached the end. The final stack is \"( [ [ { [ [ < { ( ) } > ] ] } ] ]\".\nThought 20: We will need to pop out \"]\", \"]\", \"]\", \"]\", \"}\", \"]\", \"]\", \"[\" one by one in that order.\nThought 21: So, we need ] ] ] ] } ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nThought 22: ] ] ] ] } ] ] ]\nThought 23: So the answer is ] ] ] ] } ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "7f0c21049c259790e41023925825a835ba957627dc3b295885666f107e73ec5e",
    "id": "bbeh:dyck_languages:034",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { { [ [ < ( { { < ( ( { < > < > } ) ) > } } ) { ( ) } > ] [ [ [ { ( ( [ ] ) < < > > ) { < ( ( ) ) > { < ( ) > } } } ] ] ] { < [ { [ < [ ] > ] } ] > } { [ { } ] } ] } [ ( [ < > ] ) ] ( [ [ ] ] ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: { ; stack: < { {\nThought 6: [ ; stack: < { { [\nThought 7: [ ; stack: < { { [ [\nThought 8: < ; stack: < { { [ [ <\nThought 9: ( ; stack: < { { [ [ < (\nThought 10: { ; stack: < { { [ [ < ( {\nThought 11: { ; stack: < { { [ [ < ( { {\nThought 12: < ; stack: < { { [ [ < ( { { <\nThought 13: ( ; stack: < { { [ [ < ( { { < (\nThought 14: ( ; stack: < { { [ [ < ( { { < ( (\nThought 15: { ; stack: < { { [ [ < ( { { < ( ( {\nThought 16: < ; stack: < { { [ [ < ( { { < ( ( { <\nThought 17: > ; stack: < { { [ [ < ( { { < ( ( {\nThought 18: > ; stack: < { { [ [ < ( { { < ( (\nThought 19: ) ; stack: < { { [ [ < ( { { < (\nThought 20: ) ; stack: < { { [ [ < ( { {\nThought 21: ) ; stack: < { { [ [ < (\nThought 22: > ; stack: < { { [ [\nThought 23: ] ; stack: < { { [\nThought 24: [ ; stack: < { { [ [\nThought 25: [ ; stack: < { { [ [ [\nThought 26: [ ; stack: < { { [ [ [ [\nThought 27: { ; stack: < { { [ [ [ [ {\nThought 28: ( ; stack: < { { [ [ [ [ { (\nThought 29: ) ; stack: < { { [ [ [ [ {\nThought 30: < ; stack: < { { [ [ [ [ { <\nThought 31: > ; stack: < { { [ [ [ [ {\nThought 32: ) ; stack: < { { [ [ [ [\nThought 33: ] ; stack: < { { [ [ [\nThought 34: ] ; stack: < { { [ [\nThought 35: ] ; stack: < { { [\nThought 36: } ; stack: < { {\nThought 37: { ; stack: < {\nThought 38: [ ; stack: < { [\nThought 39: [ ; stack: < { [ [\nThought 40: < ; stack: < { [ [ <\nThought 41: [ ; stack: < { [ [ < [\nThought 42: ] ; stack: < { [ [ <\nThought 43: ] ; stack: < { [ [\nThought 44: ] ; stack: < { [\nThought 45: } ; stack: < {\nThought 46: { ; stack: < {\nThought 47: [ ; stack: < { [\nThought 48: [ ; stack: < { [ [\nThought 49: ] ; stack: < { [\nThought 50: ] ; stack: < {\nThought 51: } ; stack: empty\nThought 52: Now, we have reached the end. The final stack is empty.\nThought 53: We will need to pop out all the elements in the stack.\nThought 54: So, we need nothing. So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "ebf1e90c44777fb483d7570c8dd8f5bdc569fb770b9a871fbcd2be2e8a56eddb",
    "id": "bbeh:dyck_languages:035",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( [ ] [ [ ] { } < < < < ( < > { } ) > > > > { < > } ( < { { { } [ { < { ( [ ( ) ] ) } > { [ [ ] ] } } ] [ { ( ) } ] } } > ) ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: [ ; stack: [ ( [\nThought 6: ] ; stack: [ (\nThought 7: [ ; stack: [ ( [\nThought 8: ] ; stack: [ (\nThought 9: { ; stack: [ ( {\nThought 10: } ; stack: [ (\nThought 11: < ; stack: [ ( <\nThought 12: < ; stack: [ ( < <\nThought 13: < ; stack: [ ( < < <\nThought 14: < ; stack: [ ( < < < <\nThought 15: ( ; stack: [ ( < < < < (\nThought 16: < ; stack: [ ( < < < < ( <\nThought 17: > ; stack: [ ( < < < < (\nThought 18: { ; stack: [ ( < < < < ( {\nThought 19: } ; stack: [ ( < < < < (\nThought 20: ) ; stack: [ ( < < < <\nThought 21: > ; stack: [ ( < < <\nThought 22: > ; stack: [ ( < <\nThought 23: > ; stack: [ ( <\nThought 24: > ; stack: [ (\nThought 25: { ; stack: [ {\nThought 26: < ; stack: [ { <\nThought 27: { ; stack: [ { < {\nThought 28: { ; stack: [ { < { {\nThought 29: } ; stack: [ { < {\nThought 30: } ; stack: [ { <\nThought 31: } ; stack: [ {\nThought 32: [ ; stack: [ [\nThought 33: { ; stack: [ [ {\nThought 34: < ; stack: [ [ { <\nThought 35: { ; stack: [ [ { < {\nThought 36: ( ; stack: [ [ { < { (\nThought 37: [ ; stack: [ [ { < { ( [\nThought 38: ( ; stack: [ [ { < { ( [ (\nThought 39: ) ; stack: [ [ { < { ( [\nThought 40: ) ; stack: [ [ { < {\nThought 41: } ; stack: [ [ {\nThought 42: > ; stack: [ [\nThought 43: { ; stack: [ {\nThought 44: [ ; stack: [ { [\nThought 45: { ; stack: [ { [ {\nThought 46: ( ; stack: [ { [ { (\nThought 47: ) ; stack: [ { [ {\nThought 48: } ; stack: [ { [\nThought 49: ] ; stack: [ {\nThought 50: } ; stack: [\nThought 51: ) ; stack: empty\nThought 52: ) ; stack: empty\nThought 53: Now, we have reached the end. The final stack is empty.\nThought 54: So the answer is > ) ] )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "aaef561f1bcdf99b0380682ef773de08d0609acc96a8978e0e35a54e71d9a2e3",
    "id": "bbeh:dyck_languages:036",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { { ( { < < [ { [ [ ] ] < < [ ] > > } ] > > < [ [ [ ] ( < > ) ] ] > < { } > < { [ ] } > } ) } } ( ) [ [ [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: { ; stack: { {\nThought 5: ( ; stack: { { (\nThought 6: { ; stack: { { ( {\nThought 7: < ; stack: { { ( { <\nThought 8: < ; stack: { { ( { < <\nThought 9: [ ; stack: { { ( { < < [\nThought 10: { ; stack: { { ( { < < [ {\nThought 11: [ ; stack: { { ( { < < [ { [\nThought 12: [ ; stack: { { ( { < < [ { [ [\nThought 13: ] ; stack: { { ( { < < [ { [\nThought 14: ] ; stack: { { ( { < < [ {\nThought 15: < ; stack: { { ( { < < [\nThought 16: < ; stack: { { ( { <\nThought 17: ] ; stack: { { ( {\nThought 18: > ; stack: { { (\nThought 19: > ; stack: { {\nThought 20: < ; stack: { { <\nThought 21: [ ; stack: { { < [\nThought 22: [ ; stack: { { < [ [\nThought 23: [ ; stack: { { < [ [ [\nThought 24: ( ; stack: { { < [ [ [ (\nThought 25: < ; stack: { { < [ [ [ ( <\nThought 26: > ; stack: { { < [ [ [ (\nThought 27: ) ; stack: { { < [ [ [\nThought 28: ] ; stack: { { < [ [\nThought 29: ] ; stack: { { < [\nThought 30: > ; stack: { { <\nThought 31: < ; stack: { {\nThought 32: { ; stack: { { {\nThought 33: } ; stack: { {\nThought 34: > ; stack: { {\nThought 35: < ; stack: { {\nThought 36: { ; stack: { { {\nThought 37: [ ; stack: { { { [\nThought 38: ] ; stack: { { {\nThought 39: } ; stack: { {\nThought 40: > ; stack: { {\nThought 41: } ; stack: {\nThought 42: } ; stack: empty\nThought 43: ( ; stack: (\nThought 44: ) ; stack: empty\nThought 45: [ ; stack: [\nThought 46: [ ; stack: [ [\nThought 47: [ ; stack: [ [ [\nThought 48: Now, we have reached the end. The final stack is \"[ [ [\".\nThought 49: We will need to pop out \"[\", \"[\", \"[\", one by one in that order.\nThought 50: So, we need \"]\", \"]\", \"]\". So the answer is ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "0fec9d7a5b94399a3b50eaafba8ea8762d8eab36e13ba9a640f605776f181f61",
    "id": "bbeh:dyck_languages:037",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ < < [ < { { } ( [ ] ) } > ] > > < { } > { < [ < ( ( { } ) ) > ] > ( [ ] ) } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: < ; stack: [ [ <\nThought 6: < ; stack: [ [ < <\nThought 7: [ ; stack: [ [ < < [\nThought 8: < ; stack: [ [ < < [ <\nThought 9: { ; stack: [ [ < < [ < {\nThought 10: { ; stack: [ [ < < [ < { {\nThought 11: } ; stack: [ [ < < [ < {\nThought 12: ( ; stack: [ [ < < [ < { (\nThought 13: [ ; stack: [ [ < < [ < { ( [\nThought 14: ] ; stack: [ [ < < [ < { (\nThought 15: ) ; stack: [ [ < < [ < {\nThought 16: } ; stack: [ [ < < [ <\nThought 17: > ; stack: [ [ < < [\nThought 18: > ; stack: [ [ <\nThought 19: > ; stack: [ [\nThought 20: < ; stack: [ [ <\nThought 21: { ; stack: [ [ < {\nThought 22: } ; stack: [ [ <\nThought 23: > ; stack: [ [\nThought 24: { ; stack: [ [ {\nThought 25: < ; stack: [ [ { <\nThought 26: [ ; stack: [ [ { < [\nThought 27: < ; stack: [ [ { < [ <\nThought 28: ( ; stack: [ [ { < [ < (\nThought 29: ( ; stack: [ [ { < [ < ( (\nThought 30: { ; stack: [ [ { < [ < ( ( {\nThought 31: } ; stack: [ [ { < [ < ( (\nThought 32: ) ; stack: [ [ { < [ < (\nThought 33: ) ; stack: [ [ { < [ <\nThought 34: > ; stack: [ [ { < [\nThought 35: > ; stack: [ [ { <\nThought 36: > ; stack: [ [ {\nThought 37: ( ; stack: [ [ { (\nThought 38: [ ; stack: [ [ { ( [\nThought 39: ] ; stack: [ [ { (\nThought 40: ) ; stack: [ [ {\nThought 41: } ; stack: [ [\nThought 42: ] ; stack: [\nThought 43: ] ; stack: empty\nThought 44: Now, we have reached the end. The final stack is empty.\nThought 45: So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "a84df176a50f9d3e321989568392d060df993ec4242aeb7f3521afb96202bcbb",
    "id": "bbeh:dyck_languages:047",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( ( [ < [ < [ ( [ { < ( < ( ( ) ) { } [ ] > ) > } ] ) { < > } ] [ < [ { ( < < { { [ < { [ [ < > [ ] ] ] } > ] { { } } } } > > ) } ] > { < > { } } ] > ( [ ] ) ] > ] ) ( )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: ( ; stack: ( ( (\nThought 6: [ ; stack: ( ( ( [\nThought 7: < ; stack: ( ( ( [ <\nThought 8: [ ; stack: ( ( ( [ < [\nThought 9: < ; stack: ( ( ( [ < [ <\nThought 10: [ ; stack: ( ( ( [ < [ < [\nThought 11: ( ; stack: ( ( ( [ < [ < [ (\nThought 12: [ ; stack: ( ( ( [ < [ < [ ( [\nThought 13: { ; stack: ( ( ( [ < [ < [ ( [ {\nThought 14: < ; stack: ( ( ( [ < [ < [ ( [ { <\nThought 15: ( ; stack: ( ( ( [ < [ < [ ( [ { < (\nThought 16: ( ; stack: ( ( ( [ < [ < [ ( [ { < ( (\nThought 17: ( ; stack: ( ( ( [ < [ < [ ( [ { < ( ( (\nThought 18: ) ; stack: ( ( ( [ < [ < [ ( [ { < ( (\nThought 19: ) ; stack: ( ( ( [ < [ < [ ( [ { < (\nThought 20: { ; stack: ( ( ( [ < [ < [ ( [ {\nThought 21: } ; stack: ( ( ( [ < [ < [ ( [\nThought 22: ] ; stack: ( ( ( [ < [ < [ (\nThought 23: ) ; stack: ( ( ( [ < [ < [\nThought 24: > ; stack: ( ( ( [ < [ <\nThought 25: ) ; stack: ( ( ( [ < [\nThought 26: } ; stack: ( ( ( [ <\nThought 27: ] ; stack: ( ( ( [\nThought 28: { ; stack: ( ( ( {\nThought 29: < ; stack: ( ( ( { <\nThought 30: > ; stack: ( ( ( {\nThought 31: } ; stack: ( ( (\nThought 32: ] ; stack: ( (\nThought 33: [ ; stack: ( [\nThought 34: < ; stack: ( [ <\nThought 35: [ ; stack: ( [ < [\nThought 36: { ; stack: ( [ < [ {\nThought 37: ( ; stack: ( [ < [ { (\nThought 38: < ; stack: ( [ < [ { ( <\nThought 39: { ; stack: ( [ < [ { ( < {\nThought 40: { ; stack: ( [ < [ { ( < { {\nThought 41: [ ; stack: ( [ < [ { ( < { { [\nThought 42: < ; stack: ( [ < [ { ( < { { [ <\nThought 43: ] ; stack: ( [ < [ { ( < { { [\nThought 44: ] ; stack: ( [ < [ { ( < {\nThought 45: } ; stack: ( [ < [ { ( <\nThought 46: } ; stack: ( [ < [ {\nThought 47: ] ; stack: ( [ < [\nThought 48: > ; stack: ( [ <\nThought 49: } ; stack: ( [\nThought 50: ] ; stack: (\nThought 51: ) ; stack: empty\nThought 52: ) ; stack: empty\nThought 53: Now, we have reached the end. The final stack is empty.\nThought 54: So the answer is ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "b4ba20726e0da8cee3da27f4605d1dd36df4cbaa56102225a54599bbfda6f857",
    "id": "bbeh:dyck_languages:048",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ) { ( < > ) } < [ { [ < { } > ] ( [ < > ] ( < ( [ ] ( { } ) ) > ) ) } ] ( < > ) > ( [ < < < < > > > > ] { < < < [ [ < { ( ) } > ] ] > > > { < < { < > } > ( [ ( ) ( ( ) ) ] ) > } } ) { } { } (\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ) ; stack: empty\nThought 5: { ; stack: {\nThought 6: ( ; stack: { (\nThought 7: < ; stack: { ( <\nThought 8: > ; stack: { (\nThought 9: ) ; stack: {\nThought 10: } ; stack: empty\nThought 11: < ; stack: <\nThought 12: [ ; stack: < [\nThought 13: { ; stack: < [ {\nThought 14: [ ; stack: < [ { [\nThought 15: < ; stack: < [ { [ <\nThought 16: { ; stack: < [ { [ < {\nThought 17: } ; stack: < [ { [ <\nThought 18: > ; stack: < [ { [\nThought 19: ] ; stack: < [ {\nThought 20: ( ; stack: < [ { (\nThought 21: [ ; stack: < [ { ( [\nThought 22: < ; stack: < [ { ( [ <\nThought 23: > ; stack: < [ { ( [\nThought 24: ] ; stack: < [ { (\nThought 25: ( ; stack: < [ { ( (\nThought 26: [ ; stack: < [ { ( ( [\nThought 27: ] ; stack: < [ { ( (\nThought 28: ) ; stack: < [ { (\nThought 29: ) ; stack: < [ {\nThought 30: } ; stack: < [\nThought 31: ] ; stack: <\nThought 32: ( ; stack: < (\nThought 33: [ ; stack: ( [\nThought 34: < ; stack: ( [ <\nThought 35: < ; stack: ( [ < <\nThought 36: < ; stack: ( [ < < <\nThought 37: < ; stack: ( [ < < < <\nThought 38: > ; stack: ( [ < < < < >\nThought 39: > ; stack: ( [ < < < < > >\nThought 40: > ; stack: ( [ < < < < > > >\nThought 41: > ; stack: ( [ < < < < > > > >\nThought 42: ] ; stack: ( [ < < < < > > > > ]\nThought 43: { ; stack: ( [ < < < < > > > > ] {\nThought 44: < ; stack: ( [ < < < < > > > > ] { <\nThought 45: < ; stack: ( [ < < < < > > > > ] { < <\nThought 46: [ ; stack: ( [ < < < < > > > > ] { < < [\nThought 47: [ ; stack: ( [ < < < < > > > > ] { < < [ [\nThought 48: < ; stack: ( [ < < < < > > > > ] { < < [ [ <\nThought 49: { ; stack: ( [ < < < < > > > > ] { < < [ [ < {\nThought 50: ) ; stack: ( [ < < < < > > > > ] { < < [ [ <\nThought 51: ] ; stack: ( [ < < < < > > > > ] { < < [\nThought 52: ] ; stack: ( [ < < < < > > > > ] { < <\nThought 53: > ; stack: ( [ < < < < > > > > ] { <\nThought 54: > ; stack: ( [ < < < < > > > > ] {\nThought 55: } ; stack: ( [ < < < < > > > > ]\nThought 56: ) ; stack: ( [ < < < < > > > >\nThought 57: { ; stack: ( [ < < < < > > > > {\nThought 58: } ; stack: ( [ < < < < > > > >\nThought 59: } ; stack: ( [ < < < < > > > >\nThought 60: ) ; stack: ( [ < < < < > > > >\nThought 61: Now, we have reached the end. The final stack is \"( [ < < < < > > > > \".\nThought 62: We will need to pop out \"( [ < < < < > > > >\" one by one in that order.\nThought 63: So, we need > > > > < < < < [ ) . So the answer is > > > > < < < < [ )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "0c477abb7674e73f1124b96455980299476a2124a8e27f8c0c1eb4b0ea1d04a1",
    "id": "bbeh:dyck_languages:054",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < ( < { [ { } < ( { ( < < < { [ ( [ ( [ { { < [ { } < ( ) > ] > } } ] ) ] ) ] } > < > > ( ( < { } > ) ) > ) } ) > ] } > )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: ( ; stack: < (\nThought 5: < ; stack: < ( <\nThought 6: { ; stack: < ( < {\nThought 7: [ ; stack: < ( < { [\nThought 8: { ; stack: < ( < { [ {\nThought 9: } ; stack: < ( < { [\nThought 10: < ; stack: < ( < {\nThought 11: ( ; stack: < ( < { (\nThought 12: { ; stack: < ( < { ( {\nThought 13: ( ; stack: < ( < { ( { (\nThought 14: < ; stack: < ( < { ( { ( <\nThought 15: < ; stack: < ( < { ( { ( < <\nThought 16: { ; stack: < ( < { ( { ( < < {\nThought 17: [ ; stack: < ( < { ( { ( < < { [\nThought 18: ( ; stack: < ( < { ( { ( < < { [ (\nThought 19: [ ; stack: < ( < { ( { ( < < { [ ( [\nThought 20: ( ; stack: < ( < { ( { ( < < { [ ( [ (\nThought 21: [ ; stack: < ( < { ( { ( < < { [ ( [ ( [\nThought 22: { ; stack: < ( < { ( { ( < < { [ ( [ ( [ {\nThought 23: < ; stack: < ( < { ( { ( < < { [ ( [ ( [ { <\nThought 24: [ ; stack: < ( < { ( { ( < < { [ ( [ ( [ { < [\nThought 25: { ; stack: < ( < { ( { ( < < { [ ( [ ( [ { < [ {\nThought 26: } ; stack: < ( < { ( { ( < < { [ ( [ ( [ { < [\nThought 27: < ; stack: < ( < { ( { ( < < { [ ( [ ( [ { <\nThought 28: ( ; stack: < ( < { ( { ( < < { [ ( [ ( [ {\nThought 29: ) ; stack: < ( < { ( { ( < < { [ ( [ ( [\nThought 30: > ; stack: < ( < { ( { ( < < { [ ( [ (\nThought 31: > ; stack: < ( < { ( { ( < < { [ ( [\nThought 32: } ; stack: < ( < { ( { ( < < { [ (\nThought 33: ) ; stack: < ( < { ( { ( < < { [\nThought 34: ) ; stack: < ( < { ( { ( < <\nThought 35: > ; stack: < ( < { ( { ( <\nThought 36: ) ; stack: < ( < { ( {\nThought 37: ) ; stack: < ( < {\nThought 38: > ; stack: < ( <\nThought 39: ) ; stack: < (\nThought 40: > ; stack: empty\nThought 41: Now, we have reached the end. The final stack is empty.\nThought 42: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "46059a55a2991d222d3c173ceee1f8d53814568918970dbcfe4f71566e79ea7e",
    "id": "bbeh:dyck_languages:063",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( ) ( [ ( ) [ { < [ < < > { < { { [ < [ ] > ] } [ [ ] ] } > } [ ( [ { < > } { { ( ) ( { ( ) } ) } } ] ) { [ ( ) < > ] } ] > ] > } ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: ) ; stack: [\nThought 6: ( ; stack: [ (\nThought 7: [ ; stack: [ ( [\nThought 8: ( ; stack: [ ( [ (\nThought 9: ) ; stack: [ ( [\nThought 10: [ ; stack: [ ( [ [\nThought 11: { ; stack: [ ( [ {\nThought 12: < ; stack: [ ( [ { <\nThought 13: [ ; stack: [ ( [ { < [\nThought 14: < ; stack: [ ( [ { < [ <\nThought 15: < ; stack: [ ( [ { < [ < <\nThought 16: > ; stack: [ ( [ { < [ <\nThought 17: { ; stack: [ ( [ { < [\nThought 18: < ; stack: [ ( [ { <\nThought 19: { ; stack: [ ( [ {\nThought 20: < ; stack: [ ( [\nThought 21: [ ; stack: [ ( [ [\nThought 22: ( ; stack: [ ( [ [ (\nThought 23: [ ; stack: [ ( [ [ ( [\nThought 24: { ; stack: [ ( [ [ ( [ {\nThought 25: < ; stack: [ ( [ [ ( [ { <\nThought 26: > ; stack: [ ( [ [ ( [ {\nThought 27: } ; stack: [ ( [ [ ( [\nThought 28: ) ; stack: [ ( [ [ (\nThought 29: ) ; stack: [ ( [\nThought 30: { ; stack: [ ( [ {\nThought 31: [ ; stack: [ ( [ { [\nThought 32: ( ; stack: [ ( [ { [ (\nThought 33: ) ; stack: [ ( [ { [\nThought 34: < ; stack: [ ( [ { [ <\nThought 35: > ; stack: [ ( [ { [\nThought 36: ] ; stack: [ ( [ {\nThought 37: ] ; stack: [ ( [\nThought 38: > ; stack: [ (\nThought 39: ] ; stack: [\nThought 40: ] ; stack: empty\nThought 41: Now, we have reached the end. The final stack is empty.\nThought 42: So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "01b8840f96408b0d41f8a3c415b7ef489871be95da8a03ee3a360e419991010f",
    "id": "bbeh:dyck_languages:067",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ) [ < > ( { { < > } { < { { [ ] } } > } ( ) ( [ ( < > ( { < { < > } > < ( ) > ( ( ) ) < > ( ) } ) [ < [ ( ( ( [ ( [ ] ) ] ) ) ( { } ) ) ] ( ) > ] ) < < ( ) > > ] { [ ] } ) } )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ) ; stack: empty\nThought 5: [ ; stack: [\nThought 6: < ; stack: [ <\nThought 7: > ; stack: [\nThought 8: ( ; stack: [ (\nThought 9: { ; stack: [ ( {\nThought 10: { ; stack: [ ( { {\nThought 11: < ; stack: [ ( { { <\nThought 12: > ; stack: [ ( { {\nThought 13: } ; stack: [ ( {\nThought 14: { ; stack: [ ( { {\nThought 15: < ; stack: [ ( { { <\nThought 16: { ; stack: [ ( { { < {\nThought 17: { ; stack: [ ( { { < { {\nThought 18: } ; stack: [ ( { { < {\nThought 19: } ; stack: [ ( { {\nThought 20: > ; stack: [ ( {\nThought 21: } ; stack: [ (\nThought 22: ) ; stack: [\nThought 23: ( ; stack: [ (\nThought 24: [ ; stack: [ ( [\nThought 25: ( ; stack: [ ( [ (\nThought 26: < ; stack: [ ( [ ( <\nThought 27: > ; stack: [ ( [ (\nThought 28: ( ; stack: [ ( [ ( (\nThought 29: { ; stack: [ ( [ ( ( {\nThought 30: } ; stack: [ ( [ ( (\nThought 31: ) ; stack: [ ( [ (\nThought 32: ] ; stack: [ ( [\nThought 33: ) ; stack: [ (\nThought 34: > ; stack: [\nThought 35: ) ; stack: empty\nThought 36: < ; stack: <\nThought 37: < ; stack: < <\nThought 38: > ; stack: <\nThought 39: ] ; stack: empty\nThought 40: { ; stack: {\nThought 41: [ ; stack: { [\nThought 42: ] ; stack: {\nThought 43: } ; stack: empty\nThought 44: } ; stack: empty\nThought 45: } ; stack: empty\nThought 46: Now, we have reached the end. The final stack is empty.\nThought 47: So the answer is ) > > ] { [ ] } ) } )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "df77592f60f7ac631b6f85c780b4462c40ccd29a62198b8a74886d9d6c63eceb",
    "id": "bbeh:dyck_languages:068",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { } < ( { } ) > [ { ( ( ( ) < > ) ) } < [ { { ( ( { [ ] } ) ) } } ] < { } { { } } > > { < ( [ ] ( [ ] [ ( ) ] ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: } ; stack: empty\nThought 5: < ; stack: <\nThought 6: ( ; stack: < (\nThought 7: { ; stack: < ( {\nThought 8: } ; stack: < (\nThought 9: ) ; stack: <\nThought 10: > ; stack: empty\nThought 11: [ ; stack: [\nThought 12: { ; stack: [ {\nThought 13: ( ; stack: [ { (\nThought 14: ( ; stack: [ { ( (\nThought 15: ( ; stack: [ { ( ( (\nThought 16: ) ; stack: [ { ( (\nThought 17: ) ; stack: [ { (\nThought 18: ) ; stack: [ {\nThought 19: } ; stack: [\nThought 20: < ; stack: [ <\nThought 21: [ ; stack: [ < [\nThought 22: { ; stack: [ < [ {\nThought 23: { ; stack: [ < [ { {\nThought 24: ( ; stack: [ < [ { { (\nThought 25: ( ; stack: [ < [ { { ( (\nThought 26: { ; stack: [ < [ { { ( ( {\nThought 27: ] ; stack: [ < [ { { ( (\nThought 28: } ; stack: [ < [ { {\nThought 29: } ; stack: [ < [ {\nThought 30: } ; stack: [ < [\nThought 31: ] ; stack: [ <\nThought 32: < ; stack: [\nThought 33: { ; stack: [ {\nThought 34: } ; stack: [ { }\nThought 35: { ; stack: [ { } {\nThought 36: } ; stack: [ { }\nThought 37: } ; stack: [ {\nThought 38: > ; stack: [\nThought 39: > ; stack: empty\nThought 40: { ; stack: {\nThought 41: < ; stack: { <\nThought 42: ( ; stack: { < (\nThought 43: [ ; stack: { < ( [\nThought 44: ] ; stack: { < (\nThought 45: ( ; stack: { < ( (\nThought 46: [ ; stack: { < ( ( [\nThought 47: ] ; stack: { < ( (\nThought 48: ] ; stack: { < (\nThought 49: ) ; stack: { <\nThought 50: ) ; stack: {\nThought 51: Now, we have reached the end. The final stack is \"{\".\nThought 52: We will need to pop out \"{\" one by one in that order.\nThought 53: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "3f84780b19a62e759f3e9493f861843e3066cd0201fad7b28b48c810767a54ce",
    "id": "bbeh:dyck_languages:077",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] > ) } ) ] ) ) ] ) ] ( ) ] } { [ [ ] ] } ] ] } > [ { < > } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: < ; stack: ( ( <\nThought 6: { ; stack: ( ( < {\nThought 7: [ ; stack: ( ( < { [\nThought 8: [ ; stack: ( ( < { [ [\nThought 9: { ; stack: ( ( < { [ [ {\nThought 10: [ ; stack: ( ( < { [ [ { [\nThought 11: [ ; stack: ( ( < { [ [ { [ [\nThought 12: ( ; stack: ( ( < { [ [ { [ [ (\nThought 13: [ ; stack: ( ( < { [ [ { [ [ ( [\nThought 14: < ; stack: ( ( < { [ [ { [ [ ( [ <\nThought 15: < ; stack: ( ( < { [ [ { [ [ ( [ < <\nThought 16: > ; stack: ( ( < { [ [ { [ [ ( [ < < >\nThought 17: > ; stack: ( ( < { [ [ { [ [ ( [ < < > >\nThought 18: ( ; stack: ( ( < { [ [ { [ [ ( [ < < > > (\nThought 19: ( ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( (\nThought 20: [ ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [\nThought 21: ( ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ (\nThought 22: ) ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( )\nThought 23: ( ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) (\nThought 24: { ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( {\nThought 25: ( ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { (\nThought 26: < ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( <\nThought 27: [ ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [\nThought 28: ] ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ]\nThought 29: ) ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] )\nThought 30: ) ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) )\nThought 31: ] ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ]\nThought 32: ) ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] )\nThought 33: ] ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ]\nThought 34: ) ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] )\nThought 35: ] ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ]\nThought 36: ) ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] )\nThought 37: ] ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ]\nThought 38: } ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\nThought 39: { ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } {\nThought 40: [ ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [\nThought 41: [ ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [\nThought 42: ] ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ]\nThought 43: } ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] }\nThought 44: > ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } >\nThought 45: [ ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } > [\nThought 46: { ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } > [ {\nThought 47: < ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } > [ { <\nThought 48: > ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } > [ { < >\nThought 49: } ; stack: ( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } > [ { < > }\nThought 50: Now, we have reached the end. The final stack is \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] } { [ [ ] } > [ { < > }\".\nThought 51: We will need to pop out \"} { [ [ ] } > [ { < > }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [ < < > > ( ( [ ( ) ( { ( < [ ] ) ] ] ] ] }\", \"( ( < { [ [ { [ [ ( [\nThought 52: So the answer is ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "0602df65dfbe75df89471eb13ec15930b06cab3ba13d63b1431bfdcdc6f686e9",
    "id": "bbeh:dyck_languages:080",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < [ ( < < [ ( < ( [ [ ( [ { < { { [ [ ( { } ) < > ] ] } } > } ] ( ) ( ) ) ] ] ) > ( ) ) ] > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: [ ; stack: < [\nThought 5: ( ; stack: < [ (\nThought 6: < ; stack: < [ ( <\nThought 7: < ; stack: < [ ( < <\nThought 8: [ ; stack: < [ ( < < [\nThought 9: ( ; stack: < [ ( < < [ (\nThought 10: < ; stack: < [ ( < < [ ( <\nThought 11: ( ; stack: < [ ( < < [ ( < (\nThought 12: [ ; stack: < [ ( < < [ ( < ( [\nThought 13: [ ; stack: < [ ( < < [ ( < ( [ [\nThought 14: [ ; stack: < [ ( < < [ ( < ( [ [ [\nThought 15: { ; stack: < [ ( < < [ ( < ( [ [ [ {\nThought 16: < ; stack: < [ ( < < [ ( < ( [ [ [ { <\nThought 17: { ; stack: < [ ( < < [ ( < ( [ [ [ { < {\nThought 18: { ; stack: < [ ( < < [ ( < ( [ [ [ { < { {\nThought 19: [ ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [\nThought 20: [ ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [ [\nThought 21: ( ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [ [ (\nThought 22: { ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [ [ ( {\nThought 23: } ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [ [ (\nThought 24: ) ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [ [\nThought 25: < ; stack: < [ ( < < [ ( < ( [ [ [ { < { { [\nThought 26: > ; stack: < [ ( < < [ ( < ( [ [ [ { < { {\nThought 27: ] ; stack: < [ ( < < [ ( < ( [ [ [ { < {\nThought 28: } ; stack: < [ ( < < [ ( < ( [ [ [ { <\nThought 29: } ; stack: < [ ( < < [ ( < ( [ [ [\nThought 30: > ; stack: < [ ( < < [ ( < ( [ [\nThought 31: } ; stack: < [ ( < < [ ( < ( [\nThought 32: ] ; stack: < [ ( < < [ ( < (\nThought 33: ) ; stack: < [ ( < < [ (\nThought 34: ) ; stack: < [ ( < <\nThought 35: ) ; stack: < [ ( <\nThought 36: ] ; stack: < [ (\nThought 37: ) ; stack: < [\nThought 38: ) ; stack: <\nThought 39: ] ; stack: empty\nThought 40: > ; stack: empty\nThought 41: > ; stack: empty\nThought 42: Now, we have reached the end. The final stack is empty.\nThought 43: So the answer is < ] ( < < [ ( < ( [ [ ( [ { < { { [ [ ( { } ) < > ] ] } } > } ] ( ) ( ) ) ] ] ) > ( ) ) ] > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "961192ed65c08efc5e2edef4ee798c175e7a749c2e20fa9b0583bc24734181ab",
    "id": "bbeh:dyck_languages:087",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { < { < { } ( < > ) < { } > > } [ [ { } { } ] ] > } > ( [ [ { } ] [ ( ( ( ) ) ) ] ] ) [ [ { ( { } ) < ( ) > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: < ; stack: < { <\nThought 6: { ; stack: < { < {\nThought 7: < ; stack: < { < { <\nThought 8: { ; stack: < { < { < {\nThought 9: } ; stack: < { < { <\nThought 10: ( ; stack: < { < { < (\nThought 11: < ; stack: < { < { < ( <\nThought 12: > ; stack: < { < { < (\nThought 13: ) ; stack: < { < { <\nThought 14: < ; stack: < { < { < <\nThought 15: { ; stack: < { < { < < {\nThought 16: } ; stack: < { < { < <\nThought 17: > ; stack: < { < { <\nThought 18: > ; stack: < { < {\nThought 19: } ; stack: < { <\nThought 20: [ ; stack: < { < [\nThought 21: [ ; stack: < { < [ [\nThought 22: { ; stack: < { < [ [ {\nThought 23: } ; stack: < { < [ [\nThought 24: } ; stack: < { < [\nThought 25: ] ; stack: < { <\nThought 26: > ; stack: < {\nThought 27: } ; stack: <\nThought 28: > ; stack: empty\nThought 29: ( ; stack: (\nThought 30: [ ; stack: ( [\nThought 31: [ ; stack: ( [ [\nThought 32: { ; stack: ( [ [ {\nThought 33: } ; stack: ( [ [\nThought 34: ] ; stack: ( [\nThought 35: [ ; stack: ( [ [\nThought 36: ( ; stack: ( [ [ (\nThought 37: ( ; stack: ( [ [ ( (\nThought 38: ( ; stack: ( [ [ ( ( (\nThought 39: ) ; stack: ( [ [ ( (\nThought 40: ) ; stack: ( [ [ (\nThought 41: ) ; stack: ( [ [\nThought 42: ] ; stack: ( [\nThought 43: ] ; stack: (\nThought 44: [ ; stack: [\nThought 45: [ ; stack: [ [\nThought 46: { ; stack: [ [ {\nThought 47: ( ; stack: [ [ { (\nThought 48: { ; stack: [ [ { ( {\nThought 49: } ; stack: [ [ { (\nThought 50: ) ; stack: [ [ {\nThought 51: < ; stack: [ [ { <\nThought 52: ) ; stack: [ [ { < )\nThought 53: > ; stack: [ [ { <\nThought 54: } ; stack: [ [ {\nThought 55: Now, we have reached the end. The final stack is \"[ [ {\".\nThought 56: We will need to pop out \"{\", \"[\", \"[\", one by one in that order.\nThought 57: So, we need \"}\", \"]\", \"]\". So the answer is } ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "a5283a6c0ebd4b2a472c8ca60065a9abd56745e28ddea27534a0cef1d9257097",
    "id": "bbeh:dyck_languages:091",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < [ ] > < < ( ( [ { < > } ] { < ( ) ( ( [ < { } > < > ] ) ) > } ) ) > > { { { < ( [ [ ( ) ] ] ) > } } } ( [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: [ ; stack: { < [\nThought 6: ] ; stack: { <\nThought 7: > ; stack: {\nThought 8: < ; stack: { <\nThought 9: < ; stack: { < <\nThought 10: ( ; stack: { < < (\nThought 11: ( ; stack: { < < ( (\nThought 12: [ ; stack: { < < ( ( [\nThought 13: { ; stack: { < < ( ( [ {\nThought 14: < ; stack: { < < ( ( [ { <\nThought 15: > ; stack: { < < ( ( [ {\nThought 16: } ; stack: { < < ( ( [\nThought 17: ] ; stack: { < < ( (\nThought 18: { ; stack: { < < (\nThought 19: < ; stack: { < <\nThought 20: ( ; stack: { < < (\nThought 21: ) ; stack: { < <\nThought 22: ( ; stack: { < <\nThought 23: ( ; stack: { < <\nThought 24: [ ; stack: { < < [\nThought 25: < ; stack: { < < [ <\nThought 26: { ; stack: { < < [ < {\nThought 27: } ; stack: { < < [ <\nThought 28: > ; stack: { < < [ <\nThought 29: > ; stack: { < < [\nThought 30: ) ; stack: { < <\nThought 31: ) ; stack: { <\nThought 32: ) ; stack: {\nThought 33: > ; stack:\nThought 34: > ; stack:\nThought 35: { ; stack: {\nThought 36: { ; stack: { {\nThought 37: { ; stack: { { {\nThought 38: < ; stack: { { { <\nThought 39: ( ; stack: { { { < (\nThought 40: [ ; stack: { { { < ( [\nThought 41: [ ; stack: { { { < ( [ [\nThought 42: ( ; stack: { { { < ( [ [ (\nThought 43: ) ; stack: { { { < ( [ [\nThought 44: ] ; stack: { { { < ( [\nThought 45: ] ; stack: { { { <\nThought 46: ) ; stack: { { {\nThought 47: ) ; stack: { {\nThought 48: ) ; stack: {\nThought 49: Now, we have reached the end. The final stack is \"{ [ \".\nThought 50: We will need to pop out \"[\" one by one in that order.\nThought 51: So, we need \"]\". So the answer is ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "4a1bc6214e45edcc326e3777e83de067ee32ae2ae44be58784bc83c58677be30",
    "id": "bbeh:dyck_languages:096",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { [ ( ) < { { { } [ < [ < ( [ ] ) > ] > [ ( < { ( { { } } ) ( ) } > ) < { } ( [ ] ) [ [ ( [ ] ) [ { { < ( ( [ ] ) ) > } } < < { { } } { [ [ { < > } ] ] [ ] } > > ] ] ] > ] ] } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: [ ; stack: { [\nThought 5: ( ; stack: { [ (\nThought 6: ) ; stack: { [\nThought 7: < ; stack: { [ <\nThought 8: { ; stack: { [ < {\nThought 9: { ; stack: { [ < { {\nThought 10: { ; stack: { [ < { { {\nThought 11: } ; stack: { [ < { {\nThought 12: [ ; stack: { [ < { { [\nThought 13: < ; stack: { [ < { { [ <\nThought 14: [ ; stack: { [ < { { [ < [\nThought 15: < ; stack: { [ < { { [ < [ <\nThought 16: ( ; stack: { [ < { { [ < [ < (\nThought 17: [ ; stack: { [ < { { [ < [ < ( [\nThought 18: ] ; stack: { [ < { { [ < [ < (\nThought 19: ) ; stack: { [ < { { [ < [ <\nThought 20: > ; stack: { [ < { { [ < [\nThought 21: > ; stack: { [ < { { [\nThought 22: [ ; stack: { [ < { {\nThought 23: ( ; stack: { [ < { { (\nThought 24: < ; stack: { [ < { { ( <\nThought 25: { ; stack: { [ < { { ( < {\nThought 26: ( ; stack: { [ < { { ( < { (\nThought 27: { ; stack: { [ < { { ( < { {\nThought 28: { ; stack: { [ < { { ( < { { {\nThought 29: } ; stack: { [ < { { ( < { {\nThought 30: } ; stack: { [ < { { ( < {\nThought 31: ) ; stack: { [ < { { (\nThought 32: ) ; stack: { [ < { {\nThought 33: < ; stack: { [ < { <\nThought 34: { ; stack: { [ < {\nThought 35: { ; stack: { [ <\nThought 36: } ; stack: { [\nThought 37: } ; stack: {\nThought 38: Now, we have reached the end. The final stack is \"{\".\nThought 39: We will need to pop out \"{\" one by one in that order.\nThought 40: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "cdd1e39a767814d1916f994bc59ca63fe91f2a7618fba171388885a12f0e2fc8",
    "id": "bbeh:dyck_languages:100",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( { < { < { < > } > } > } ) ( ) ( { [ ( < ( < < { ( { < > } ) } > > ) > ) { ( { < ( { [ ] } ( ) ) > } < { < { { ( ) } } > { < [ { ( ) } ] > } } > ) } [ [ ( ) ] ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: { ; stack: ( ( {\nThought 6: < ; stack: ( ( { <\nThought 7: { ; stack: ( ( { < {\nThought 8: < ; stack: ( ( { < { <\nThought 9: { ; stack: ( ( { < { < {\nThought 10: > ; stack: ( ( { < { <\nThought 11: } ; stack: ( ( { < {\nThought 12: } ; stack: ( ( { <\nThought 13: } ; stack: ( ( {\nThought 14: ) ; stack: ( (\nThought 15: ) ; stack: (\nThought 16: ( ; stack: (\nThought 17: { ; stack: ( {\nThought 18: [ ; stack: ( { [\nThought 19: ( ; stack: ( { [ (\nThought 20: < ; stack: ( { [ ( <\nThought 21: ( ; stack: ( { [ ( < (\nThought 22: < ; stack: ( { [ ( < ( <\nThought 23: { ; stack: ( { [ ( < ( < {\nThought 24: { ; stack: ( { [ ( < ( < { {\nThought 25: < ; stack: ( { [ ( < ( < { { <\nThought 26: > ; stack: ( { [ ( < ( < { {\nThought 27: ) ; stack: ( { [ ( < ( < {\nThought 28: ) ; stack: ( { [ ( < (\nThought 29: > ; stack: ( { [ ( <\nThought 30: ) ; stack: ( { [ (\nThought 31: ) ; stack: ( { [\nThought 32: { ; stack: ( {\nThought 33: { ; stack: ( { {\nThought 34: < ; stack: ( { { <\nThought 35: { ; stack: ( { { < {\nThought 36: ( ; stack: ( { { < { (\nThought 37: ) ; stack: ( { { < {\nThought 38: ) ; stack: ( { { <\nThought 39: > ; stack: ( { {\nThought 40: ) ; stack: ( {\nThought 41: } ; stack: (\nThought 42: [ ; stack: [\nThought 43: [ ; stack: [ [\nThought 44: ( ; stack: [ [ (\nThought 45: ) ; stack: [ [\nThought 46: ] ; stack: [\nThought 47: ] ; stack: empty\nThought 48: Now, we have reached the end. The final stack is empty.\nThought 49: So the answer is ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "3a1c16bee6c995b20d8aca005bd50e910ed1cf3e41d5c3f9f6b731e1bf099eb8",
    "id": "bbeh:dyck_languages:114",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < < > > < ( < < < [ [ [ [ ] ] ] ] > > > ) [ < < [ ] > > ] { [ < > ] < > [ ( ) ] } { [ ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: < ; stack: [ < <\nThought 6: > ; stack: [ <\nThought 7: > ; stack: [\nThought 8: < ; stack: [ <\nThought 9: ( ; stack: [ < (\nThought 10: < ; stack: [ < ( <\nThought 11: < ; stack: [ < ( < <\nThought 12: < ; stack: [ < ( < < <\nThought 13: [ ; stack: [ < ( < < < [\nThought 14: [ ; stack: [ < ( < < < [ [\nThought 15: [ ; stack: [ < ( < < < [ [ [\nThought 16: [ ; stack: [ < ( < < < [ [ [ [\nThought 17: ] ; stack: [ < ( < < < [ [ [\nThought 18: ] ; stack: [ < ( < < < [ [\nThought 19: ] ; stack: [ < ( < < < [\nThought 20: ] ; stack: [ < ( < <\nThought 21: > ; stack: [ < ( <\nThought 22: > ; stack: [ < (\nThought 23: ) ; stack: [ <\nThought 24: [ ; stack: [ [\nThought 25: < ; stack: [ [ <\nThought 26: < ; stack: [ [ < <\nThought 27: [ ; stack: [ [ < < [\nThought 28: ] ; stack: [ [ < <\nThought 29: ] ; stack: [ [ <\nThought 30: > ; stack: [ [\nThought 31: ] ; stack: [\nThought 32: { ; stack: {\nThought 33: [ ; stack: { [\nThought 34: < ; stack: { [ <\nThought 35: > ; stack: { [\nThought 36: ] ; stack: {\nThought 37: < ; stack: { <\nThought 38: > ; stack: {\nThought 39: [ ; stack: { [\nThought 40: ( ; stack: { [ (\nThought 41: ) ; stack: { [\nThought 42: ] ; stack: {\nThought 43: } ; stack: empty\nThought 44: { ; stack: {\nThought 45: [ ; stack: { [\nThought 46: ] ; stack: {\nThought 47: } ; stack: empty\nThought 48: Now, we have reached the end. The final stack is empty.\nThought 49: So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "7c44330b2272f5bbe04a48cde05059aa4fdcfc4a25908a3bacbfffdfc151513d",
    "id": "bbeh:dyck_languages:127",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < ( < > ) { < < { ( ( ) { { { < > { } } [ < > ] ( ) } } ( ( ) ) ) < [ { { ( ( < > ) ) } } [ { < { } > } ] ( ) ] > } { [ ] } > > [ ] } > ( [ ] ) [ < { ( ( ( ) ( ) ) ) ( ) } > ] [ < ( )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: ( ; stack: < (\nThought 5: < ; stack: < ( <\nThought 6: > ; stack: < (\nThought 7: ) ; stack: <\nThought 8: { ; stack: {\nThought 9: < ; stack: { <\nThought 10: < ; stack: { < <\nThought 11: { ; stack: { < < {\nThought 12: ( ; stack: { < < { (\nThought 13: ( ; stack: { < < { ( (\nThought 14: ) ; stack: { < < { (\nThought 15: { ; stack: { < < {\nThought 16: { ; stack: { < < { {\nThought 17: < ; stack: { < < { { <\nThought 18: > ; stack: { < < { {\nThought 19: { ; stack: { < < { {\nThought 20: } ; stack: { < < {\nThought 21: } ; stack: { < <\nThought 22: { ; stack: { <\nThought 23: [ ; stack: { [\nThought 24: ] ; stack: {\nThought 25: } ; stack: empty\nThought 26: > ; stack: empty\nThought 27: > ; stack: empty\nThought 28: [ ; stack: [\nThought 29: ] ; stack: empty\nThought 30: } ; stack: empty\nThought 31: > ; stack: empty\nThought 32: ( ; stack: (\nThought 33: [ ; stack: ( [\nThought 34: ] ; stack: (\nThought 35: ) ; stack: empty\nThought 36: [ ; stack: [\nThought 37: < ; stack: [ <\nThought 38: { ; stack: [ < {\nThought 39: ( ; stack: [ < { (\nThought 40: ( ; stack: [ < { ( (\nThought 41: ( ; stack: [ < { ( ( (\nThought 42: ) ; stack: [ < { ( (\nThought 43: ) ; stack: [ < { (\nThought 44: ) ; stack: [ < {\nThought 45: ] ; stack: [ <\nThought 46: ] ; stack: [\nThought 47: [ ; stack: [ [\nThought 48: < ; stack: [ [ <\nThought 49: ( ; stack: [ [ < (\nThought 50: Now, we have reached the end. The final stack is \"[ [ < ( \".\nThought 51: We will need to pop out \"(\", \"<\", \"[\", \"[\", one by one in that order.\nThought 52: So, we need \")\", \">\", \"]\", \"]\". So the answer is ) > ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "fbefb376341875bbcc59c2552c9db6469d667d82c5e29519bd2e58b970f47b7f",
    "id": "bbeh:dyck_languages:131",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < ( ) < ( [ { ( < ( < [ ( [ { } ] ) ] > ) > < > ( < { ( ) } > [ ] ) ) } ] ) > < { [ [ < ( ) > ] ] } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: ( ; stack: < (\nThought 5: ) ; stack: empty\nThought 6: < ; stack: <\nThought 7: ( ; stack: < (\nThought 8: [ ; stack: < ( [\nThought 9: { ; stack: < ( [ {\nThought 10: ( ; stack: < ( [ { (\nThought 11: < ; stack: < ( [ { ( <\nThought 12: < ; stack: < ( [ { ( < <\nThought 13: [ ; stack: < ( [ { ( < < [\nThought 14: ( ; stack: < ( [ { ( < < [ (\nThought 15: [ ; stack: < ( [ { ( < < [ ( [\nThought 16: { ; stack: < ( [ { ( < < [ ( [ {\nThought 17: } ; stack: < ( [ { ( < < [ ( [\nThought 18: ] ; stack: < ( [ { ( < < [ (\nThought 19: ] ; stack: < ( [ { ( < <\nThought 20: > ; stack: < ( [ { ( <\nThought 21: > ; stack: < ( [ { (\nThought 22: < ; stack: < ( [ {\nThought 23: > ; stack: < ( [\nThought 24: ( ; stack: < ( (\nThought 25: < ; stack: < ( ( <\nThought 26: { ; stack: < ( ( < {\nThought 27: ) ; stack: < ( (\nThought 28: ) ; stack: < (\nThought 29: } ; stack: empty\nThought 30: ] ; stack: empty\nThought 31: ) ; stack: empty\nThought 32: > ; stack: empty\nThought 33: < ; stack: <\nThought 34: { ; stack: < {\nThought 35: [ ; stack: < { [\nThought 36: [ ; stack: < { [ [\nThought 37: < ; stack: < { [ [ <\nThought 38: ( ; stack: < { [ [ < (\nThought 39: ) ; stack: < { [ [ <\nThought 40: > ; stack: < { [ [\nThought 41: ] ; stack: < { [\nThought 42: ] ; stack: < {\nThought 43: } ; stack: empty\nThought 44: > ; stack: empty\nThought 45: Now, we have reached the end. The final stack is empty.\nThought 46: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "8f75270792bd4b2fd1f28044b37493ba0a379c2f5e7796b6201a561086c3b5e4",
    "id": "bbeh:dyck_languages:138",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { { { { [ < [ ( [ { } ] ) < < < < > > > { < ( ( ( ) ) ) ( ) > } > ] [ < < ( ( { { } { ( { [ ] } ) } [ ( ) ] } < [ ] > ) ) > > ] > ] } } } { ( ( ( ) ) ) } } < >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: { ; stack: < { {\nThought 6: { ; stack: < { { {\nThought 7: [ ; stack: < { { { [\nThought 8: [ ; stack: < { { { [ [\nThought 9: ( ; stack: < { { { [ [ (\nThought 10: [ ; stack: < { { { [ [ ( [\nThought 11: { ; stack: < { { { [ [ ( [ {\nThought 12: } ; stack: < { { { [ [ ( [\nThought 13: ] ; stack: < { { { [ [ (\nThought 14: ) ; stack: < { { { [ [\nThought 15: < ; stack: < { { { [\nThought 16: < ; stack: < { { {\nThought 17: < ; stack: < { {\nThought 18: > ; stack: < {\nThought 19: > ; stack: <\nThought 20: ] ; stack: < { { { [ ]\nThought 21: [ ; stack: < { { { [ [\nThought 22: < ; stack: < { { { [ [ <\nThought 23: ( ; stack: < { { { [ [ < (\nThought 24: { ; stack: < { { { [ [ < ( {\nThought 25: { ; stack: < { { { [ [ < ( { {\nThought 26: } ; stack: < { { { [ [ < ( {\nThought 27: { ; stack: < { { { [ [ <\nThought 28: [ ; stack: < { { { [ [\nThought 29: ] ; stack: < { { { [\nThought 30: ] ; stack: < { { {\nThought 31: } ; stack: < { {\nThought 32: } ; stack: < {\nThought 33: } ; stack: <\nThought 34: { ; stack: {\nThought 35: { ; stack: { {\nThought 36: { ; stack: { { {\nThought 37: ( ; stack: { { { (\nThought 38: ( ; stack: { { { ( (\nThought 39: ( ; stack: { { { ( ( (\nThought 40: } ; stack: { { { ( ( (\nThought 41: } ; stack: { { { ( (\nThought 42: } ; stack: { { { (\nThought 43: } ; stack: { { {\nThought 44: } ; stack: { {\nThought 45: } ; stack: {\nThought 46: < ; stack: <\nThought 47: > ; stack: empty\nThought 48: Now, we have reached the end. The final stack is empty.\nThought 49: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "b9cdacfd18d164b512bee060cba4dd26edb5908a916831b7a3fc34d7481ed2f5",
    "id": "bbeh:dyck_languages:142",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { [ { ( < ( ) > { { ( { } ) } } [ [ ( ) ] ( ( ) ) < [ ( [ ( { { < { { } ( ( ) ) } > } } ) ] { } [ ] ) ] [ < > ] > ] < > ) } { [ ( ) ] } [ ] [ { } ] ] } ( )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: [ ; stack: < { [\nThought 6: { ; stack: < { [ {\nThought 7: ( ; stack: < { [ { (\nThought 8: < ; stack: < { [ { ( <\nThought 9: ( ; stack: < { [ { ( < (\nThought 10: ) ; stack: < { [ { ( <\nThought 11: > ; stack: < { [ { (\nThought 12: { ; stack: < { [ { {\nThought 13: { ; stack: < { [ { { {\nThought 14: ( ; stack: < { [ { { { (\nThought 15: } ; stack: < { [ { {\nThought 16: } ; stack: < { [ {\nThought 17: } ; stack: < { [\nThought 18: [ ; stack: < { [ [\nThought 19: ( ; stack: < { [ [ (\nThought 20: ) ; stack: < { [ [\nThought 21: ) ; stack: < { [\nThought 22: < ; stack: < { <\nThought 23: [ ; stack: < { < [\nThought 24: ( ; stack: < { < [ (\nThought 25: [ ; stack: < { < [ ( [\nThought 26: ( ; stack: < { < [ ( [ (\nThought 27: { ; stack: < { < [ ( [ ( {\nThought 28: { ; stack: < { < [ ( [ ( { {\nThought 29: < ; stack: < { < [ ( [ ( { { <\nThought 30: { ; stack: < { < [ ( [ ( { { < {\nThought 31: } ; stack: < { < [ ( [ ( { { <\nThought 32: } ; stack: < { < [ ( [ ( {\nThought 33: } ; stack: < { < [ ( [\nThought 34: ] ; stack: < { < [\nThought 35: ] ; stack: < { <\nThought 36: > ; stack: < {\nThought 37: ] ; stack: <\nThought 38: ) ; stack: empty\nThought 39: } ; stack: empty\nThought 40: { ; stack: {\nThought 41: [ ; stack: { [\nThought 42: ( ; stack: { [ (\nThought 43: ) ; stack: { [\nThought 44: ] ; stack: {\nThought 45: ] ; stack: empty\nThought 46: [ ; stack: [\nThought 47: [ ; stack: [ [\nThought 48: { ; stack: [ [ {\nThought 49: } ; stack: [ [\nThought 50: ] ; stack: [\nThought 51: ] ; stack: empty\nThought 52: } ; stack: empty\nThought 53: ( ; stack: (\nThought 54: ) ; stack: empty\nThought 55: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "2d5837f495b24258c35835caa1a2a5c399a28794003d7d10aee70bd2fe5fd1e8",
    "id": "bbeh:dyck_languages:145",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( [ ( < < > { ( [ ] < > ) } > ) ] [ [ ] ] ) < [ < [ < ( ) { < > < { < < [ ] > > } ( < > ) > } > ] [ ( < { ( ( { [ { } ] } ) ) } > ) ( { < > { ( { } ) } } ) ] [ ] >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: [ ; stack: ( ( [\nThought 6: ( ; stack: ( ( [ (\nThought 7: < ; stack: ( ( [ ( <\nThought 8: < ; stack: ( ( [ ( < <\nThought 9: > ; stack: ( ( [ ( <\nThought 10: { ; stack: ( ( [ ( < {\nThought 11: ( ; stack: ( ( [ ( < { (\nThought 12: [ ; stack: ( ( [ ( < { ( [\nThought 13: ] ; stack: ( ( [ ( < { (\nThought 14: < ; stack: ( ( [ ( < {\nThought 15: > ; stack: ( ( [ ( <\nThought 16: } ; stack: ( ( [ (\nThought 17: ) ; stack: ( ( [\nThought 18: ] ; stack: ( (\nThought 19: [ ; stack: ( [\nThought 20: ] ; stack: (\nThought 21: ) ; stack: empty\nThought 22: < ; stack: <\nThought 23: [ ; stack: < [\nThought 24: [ ; stack: < [ [\nThought 25: [ ; stack: < [ [ [\nThought 26: < ; stack: < [ [ [ <\nThought 27: ( ; stack: < [ [ [ < (\nThought 28: ) ; stack: < [ [ [ <\nThought 29: { ; stack: < [ [ [ < {\nThought 30: < ; stack: < [ [ [ < { <\nThought 31: > ; stack: < [ [ [ < {\nThought 32: < ; stack: < [ [ [ < { <\nThought 33: [ ; stack: < [ [ [ < { < [\nThought 34: ] ; stack: < [ [ [ < { <\nThought 35: > ; stack: < [ [ [ < {\nThought 36: ) ; stack: < [ [ [ <\nThought 37: > ; stack: < [ [ [\nThought 38: ] ; stack: < [ [\nThought 39: ] ; stack: < [\nThought 40: ] ; stack: <\nThought 41: [ ; stack: [\nThought 42: ( ; stack: [ (\nThought 43: < ; stack: [ ( <\nThought 44: { ; stack: [ ( < {\nThought 45: ( ; stack: [ ( < { (\nThought 46: ( ; stack: [ ( < { ( (\nThought 47: { ; stack: [ ( < { ( ( {\nThought 48: ] ; stack: [ ( < { ( (\nThought 49: ) ; stack: [ ( < {\nThought 50: ) ; stack: [ ( <\nThought 51: ) ; stack: [ (\nThought 52: ] ; stack: [\nThought 53: ] ; stack: empty\nThought 54: > ; stack: empty\nThought 55: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "d4beaa1f7108f678a2aca0e977acb44cb596fdd945c43dfd49549b44e62e8b3a",
    "id": "bbeh:dyck_languages:152",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < [ ( [ [ ] ] ) ] { { { } } [ < ( [ < [ ( [ ( ) ] ) ] > [ ( [ ( { [ ] } ) ] ) ] ] ) > ] [ < < ( ) > > [ ( { } ) ] < ( ( < [ ( ) ] > ) ) > ] < [ { < ( { } ) > } ] > } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: [ ; stack: [ < [\nThought 6: ( ; stack: [ < [ (\nThought 7: [ ; stack: [ < [ ( [\nThought 8: [ ; stack: [ < [ ( [ [\nThought 9: ] ; stack: [ < [ ( [\nThought 10: ] ; stack: [ < [ (\nThought 11: ) ; stack: [ < [\nThought 12: ] ; stack: [ <\nThought 13: { ; stack: [ < {\nThought 14: { ; stack: [ < { {\nThought 15: { ; stack: [ < { { {\nThought 16: } ; stack: [ < { {\nThought 17: } ; stack: [ < {\nThought 18: } ; stack: [ <\nThought 19: [ ; stack: [\nThought 20: < ; stack: [ <\nThought 21: ( ; stack: [ < (\nThought 22: [ ; stack: [ < ( [\nThought 23: < ; stack: [ < ( [ <\nThought 24: [ ; stack: [ < ( [ < [\nThought 25: ( ; stack: [ < ( [ < [ (\nThought 26: ( ; stack: [ < ( [ < [ ( (\nThought 27: ) ; stack: [ < ( [ < [ (\nThought 28: ] ; stack: [ < ( [ <\nThought 29: ] ; stack: [ < ( [\nThought 30: ) ; stack: [ < (\nThought 31: > ; stack: [ <\nThought 32: ] ; stack: [\nThought 33: [ ; stack: [\nThought 34: < ; stack: [ <\nThought 35: < ; stack: [ < <\nThought 36: ( ; stack: [ < < (\nThought 37: ) ; stack: [ < <\nThought 38: > ; stack: [ <\nThought 39: > ; stack: [\nThought 40: [ ; stack: [\nThought 41: ( ; stack: [ (\nThought 42: { ; stack: [ ( {\nThought 43: } ; stack: [ (\nThought 44: ) ; stack: [\nThought 45: ] ; stack: empty\nThought 46: Now, we have reached the end. The final stack is empty.\nThought 47: So the answer is > } >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "c6e2877dc1b08bc50825d839961f66a754c4f0f69761b0837687077ec99d6468",
    "id": "bbeh:dyck_languages:160",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < { { { < [ ( < > { ( ) } ) ] > } } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: { ; stack: < < {\nThought 6: { ; stack: < < { {\nThought 7: { ; stack: < < { { {\nThought 8: < ; stack: < < { { { <\nThought 9: [ ; stack: < < { { { < [\nThought 10: ( ; stack: < < { { { < [ (\nThought 11: < ; stack: < < { { { < [ ( <\nThought 12: > ; stack: < < { { { < [ (\nThought 13: { ; stack: < < { { { < [ ( {\nThought 14: ( ; stack: < < { { { < [ ( { (\nThought 15: ) ; stack: < < { { { < [ ( {\nThought 16: } ; stack: < < { { { < [ (\nThought 17: ) ; stack: < < { { { < [\nThought 18: ] ; stack: < < { { { <\nThought 19: > ; stack: < < { { {\nThought 20: } ; stack: < < { {\nThought 21: } ; stack: < < {\nThought 22: } ; stack: < <\nThought 23: Now, we have reached the end. The final stack is \"< <\".\nThought 24: We will need to pop out \"<\", \"<\" one by one in that order.\nThought 25: So, we need \"> >\". So the answer is > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "c09391c353c3b807c28aa10a1f6c466481cc872d8a64bda3f078d62f37728bff",
    "id": "bbeh:dyck_languages:163",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < > > [ ( [ ( [ < ( { < > } ) > ] ) ] ) { < [ ] ( ) > } < > ] [ ( ( < ( ) > ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: > ; stack: <\nThought 6: > ; stack: empty\nThought 7: [ ; stack: [\nThought 8: ( ; stack: [ (\nThought 9: [ ; stack: [ ( [\nThought 10: ( ; stack: [ ( [ (\nThought 11: [ ; stack: [ ( [ ( [\nThought 12: < ; stack: [ ( [ ( [ <\nThought 13: ( ; stack: [ ( [ ( [ < (\nThought 14: { ; stack: [ ( [ ( [ < ( {\nThought 15: < ; stack: [ ( [ ( [ < ( { <\nThought 16: > ; stack: [ ( [ ( [ < ( {\nThought 17: } ; stack: [ ( [ ( [ < (\nThought 18: ) ; stack: [ ( [ ( [ >\nThought 19: ] ; stack: [ ( [ (\nThought 20: ] ; stack: [ ( [\nThought 21: ) ; stack: [ (\nThought 22: ) ; stack: [\nThought 23: { ; stack: {\nThought 24: < ; stack: { <\nThought 25: [ ; stack: { < [\nThought 26: ] ; stack: { <\nThought 27: ( ; stack: { < (\nThought 28: ) ; stack: { <\nThought 29: > ; stack: {\nThought 30: } ; stack: empty\nThought 31: < ; stack: <\nThought 32: > ; stack: empty\nThought 33: ] ; stack: [\nThought 34: ( ; stack: [ (\nThought 35: ( ; stack: [ ( (\nThought 36: < ; stack: [ ( ( <\nThought 37: ( ; stack: [ ( ( < (\nThought 38: ) ; stack: [ ( ( <\nThought 39: ) ; stack: [ ( (\nThought 40: ) ; stack: [ (\nThought 41: ) ; stack: [\nThought 42: Now, we have reached the end. The final stack is \"[ ( ( < ( ) > ) )\".\nThought 43: We will need to pop out \")\", \")\", \")\", \")\", \"(\", \"(\", \"[\" one by one in that order.\nThought 44: So, we need ) ) ) ) ) ) ]\nThought 45: So the answer is ) ) ) ) ) ) ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "82fed0dacf050448638b9e265f72e9dfd2a403ac6bcfcfa81034c7c2b2c1d25c",
    "id": "bbeh:dyck_languages:166",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( { } < [ [ ( ) ( [ < < ( < { ( ( ) ( < ( ) > ) ) [ ( [ < { [ ( ( ) ) ] } > ] ) ] } > ) > > ( ) ] ) { < > } ] ] > { { < ( < [ [ ] ] > ) > } { < > } } )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: { ; stack: [ ( {\nThought 6: } ; stack: [ (\nThought 7: < ; stack: [ ( <\nThought 8: [ ; stack: [ ( < [\nThought 9: [ ; stack: [ ( < [ [\nThought 10: ( ; stack: [ ( < [ [ (\nThought 11: ) ; stack: [ ( < [ [\nThought 12: ( ; stack: [ ( < [ [ (\nThought 13: [ ; stack: [ ( < [ [ ( [\nThought 14: < ; stack: [ ( < [ [ ( [ <\nThought 15: < ; stack: [ ( < [ [ ( [ < <\nThought 16: { ; stack: [ ( < [ [ ( [ < < {\nThought 17: ( ; stack: [ ( < [ [ ( [ < < { (\nThought 18: ( ; stack: [ ( < [ [ ( [ < < { ( (\nThought 19: ) ; stack: [ ( < [ [ ( [ < < { (\nThought 20: ) ; stack: [ ( < [ [ ( [ < < {\nThought 21: < ; stack: [ ( < [ [ ( [ < <\nThought 22: ( ; stack: [ ( < [ [ ( [ <\nThought 23: ) ; stack: [ ( < [ [ ( [\nThought 24: ) ; stack: [ ( < [ [\nThought 25: ] ; stack: [ ( < [\nThought 26: ) ; stack: [ ( <\nThought 27: { ; stack: [ (\nThought 28: < ; stack: [ ( <\nThought 29: } ; stack: [ (\nThought 30: ] ; stack: [\nThought 31: ] ; stack: empty\nThought 32: > ; stack: >\nThought 33: { ; stack: > {\nThought 34: { ; stack: > { {\nThought 35: < ; stack: > { { <\nThought 36: ( ; stack: > { { < (\nThought 37: < ; stack: > { { < ( <\nThought 38: [ ; stack: > { { < ( < [\nThought 39: ] ; stack: > { { < ( < [ ]\nThought 40: ] ; stack: > { { < ( <\nThought 41: > ; stack: > { { <\nThought 42: } ; stack: > { {\nThought 43: } ; stack: > {\nThought 44: } ; stack: >\nThought 45: ) ; stack: empty\nThought 46: Now, we have reached the end. The final stack is empty.\nThought 47: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "e5224bd7dd6afcc79943866d67e4f18c657308600320a41a03bbc10e153291c5",
    "id": "bbeh:dyck_languages:167",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ] < { < > { [ < [ ( { ( [ [ ] ] ) } [ ] < < [ [ < < > > ] ] > > { [ ] } < < ( [ ] ) > > [ < ( ) > ] { [ { [ < { [ { } ] } > ] } < ( ( { { } } ) ) > { } ] } ) ] [ < > ] { } > ( [ ] ) { } ] } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ] ; stack: empty\nThought 5: < ; stack: <\nThought 6: { ; stack: < {\nThought 7: < ; stack: < { <\nThought 8: > ; stack: < {\nThought 9: { ; stack: < { {\nThought 10: [ ; stack: < { { [\nThought 11: < ; stack: < { { [ <\nThought 12: [ ; stack: < { { [ [\nThought 13: ( ; stack: < { { [ [ (\nThought 14: { ; stack: < { { [ [ ( {\nThought 15: ( ; stack: < { { [ [ ( { (\nThought 16: [ ; stack: < { { [ [ ( { ( [\nThought 17: ] ; stack: < { { [ [ ( { (\nThought 18: ) ; stack: < { { [ [ ( {\nThought 19: } ; stack: < { { [ [\nThought 20: ] ; stack: < { { [\nThought 21: ] ; stack: < { {\nThought 22: < ; stack: < { <\nThought 23: [ ; stack: < { < [\nThought 24: < ; stack: < { < [ <\nThought 25: [ ; stack: < { < [ [\nThought 26: < ; stack: < { < [ [ <\nThought 27: > ; stack: < { < [ [\nThought 28: > ; stack: < { < [\nThought 29: { ; stack: < { < {\nThought 30: [ ; stack: < { < { [\nThought 31: ] ; stack: < { < {\nThought 32: } ; stack: < { <\nThought 33: < ; stack: < {\nThought 34: > ; stack: <\nThought 35: { ; stack: < {\nThought 36: > ; stack: {\nThought 37: ( ; stack: { (\nThought 38: [ ; stack: { ( [\nThought 39: ] ; stack: { (\nThought 40: ) ; stack: {\nThought 41: } ; stack: empty\nThought 42: } ; stack: empty\nThought 43: } ; stack: empty\nThought 44: Now, we have reached the end. The final stack is empty.\nThought 45: So the answer is > ] } } }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "edb955d384269393e41d4b1f749dd7e57264b51ef2a82f4aecb57003243024dd",
    "id": "bbeh:dyck_languages:177",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < [ < > ] { < > } { [ ( [ { < [ [ ] [ ] ] > } ] ) { < [ ( { } ) ] { < ( [ ] ) > < > } < { ( < ( ( { [ ] } ) ) > ) } > { < > } > [ ( ) ] } ] } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: [ ; stack: < < [\nThought 6: < ; stack: < < [ <\nThought 7: > ; stack: < < [\nThought 8: ] ; stack: < <\nThought 9: { ; stack: < < {\nThought 10: < ; stack: < < { <\nThought 11: > ; stack: < < {\nThought 12: } ; stack: < <\nThought 13: { ; stack: < < {\nThought 14: [ ; stack: < < { [\nThought 15: ( ; stack: < < { [ (\nThought 16: [ ; stack: < < { [ ( [\nThought 17: { ; stack: < < { [ ( [ {\nThought 18: < ; stack: < < { [ ( [ { <\nThought 19: [ ; stack: < < { [ ( [ { < [\nThought 20: [ ; stack: < < { [ ( [ { < [ [\nThought 21: ] ; stack: < < { [ ( [ { < [\nThought 22: ] ; stack: < < { [ ( [ {\nThought 23: ] ; stack: < < { [ (\nThought 24: ) ; stack: < < { [\nThought 25: } ; stack: < < {\nThought 26: { ; stack: < < { {\nThought 27: < ; stack: < < { { <\nThought 28: [ ; stack: < < { { < [\nThought 29: ( ; stack: < < { { < [ (\nThought 30: { ; stack: < < { { < [ ( {\nThought 31: } ; stack: < < { { < [ (\nThought 32: ] ; stack: < < { { < [\nThought 33: { ; stack: < < { { <\nThought 34: < ; stack: < < { { < <\nThought 35: ( ; stack: < < { { < < (\nThought 36: < ; stack: < < { { < < ( <\nThought 37: ( ; stack: < < { { < < ( < (\nThought 38: { ; stack: < < { { < < ( < ( {\nThought 39: ] ; stack: < < { { < < ( < (\nThought 40: } ; stack: < < { { < < ( <\nThought 41: ) ; stack: < < { { < < (\nThought 42: ) ; stack: < < { { <\nThought 43: > ; stack: < < { {\nThought 44: { ; stack: < < {\nThought 45: < ; stack: < < { <\nThought 46: > ; stack: < < {\nThought 47: } ; stack: < <\nThought 48: > ; stack: <\nThought 49: { ; stack: < {\nThought 50: < ; stack: < { <\nThought 51: > ; stack: < {\nThought 52: } ; stack: <\nThought 53: > ; stack: empty\nThought 54: Now, we have reached the end. The final stack is empty.\nThought 55: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "deffcda390ddcad66104ad29bd774cef0b38a06cdfeefe7d6eac2c45f634c9da",
    "id": "bbeh:dyck_languages:178",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < ( { < < { { [ ] } } > ( ) > } ) ( ) [ [ [ ] ] ( ) ] < > < [ < { ( ) } ( < > ) < > < > ( ) > ] > < < > > > > < { < > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: ( ; stack: < < (\nThought 6: { ; stack: < < ( {\nThought 7: < ; stack: < < ( { <\nThought 8: < ; stack: < < ( { < <\nThought 9: { ; stack: < < ( { < < {\nThought 10: { ; stack: < < ( { < < { {\nThought 11: [ ; stack: < < ( { < < { { [\nThought 12: ] ; stack: < < ( { < < { {\nThought 13: } ; stack: < < ( { < < {\nThought 14: } ; stack: < < ( { <\nThought 15: > ; stack: < < ( {\nThought 16: ( ; stack: < < (\nThought 17: ) ; stack: < <\nThought 18: ) ; stack: <\nThought 19: [ ; stack: [\nThought 20: [ ; stack: [ [\nThought 21: [ ; stack: [ [ [\nThought 22: ] ; stack: [ [\nThought 23: ] ; stack: [\nThought 24: ( ; stack: [ (\nThought 25: ) ; stack: [\nThought 26: ] ; stack: empty\nThought 27: < ; stack: <\nThought 28: > ; stack: empty\nThought 29: < ; stack: <\nThought 30: [ ; stack: < [\nThought 31: < ; stack: < [ <\nThought 32: { ; stack: < [ < {\nThought 33: ( ; stack: < [ < { (\nThought 34: ) ; stack: < [ < {\nThought 35: } ; stack: < [ <\nThought 36: ( ; stack: < [ < (\nThought 37: < ; stack: < [ < ( <\nThought 38: > ; stack: < [ < (\nThought 39: ) ; stack: < [ <\nThought 40: > ; stack: < [\nThought 41: ] ; stack: <\nThought 42: > ; stack: empty\nThought 43: < ; stack: <\nThought 44: < ; stack: < <\nThought 45: > ; stack: < < >\nThought 46: > ; stack: < <\nThought 47: > ; stack: <\nThought 48: < ; stack: <\nThought 49: { ; stack: < {\nThought 50: < ; stack: < { <\nThought 51: > ; stack: < {\nThought 52: } ; stack: <\nThought 53: Now, we have reached the end. The final stack is \"<\".\nThought 54: We will need to pop out \"<\". So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "cf8b94babdf94632fd42b5bf1722393053309c0426746474b803eee163b263f0",
    "id": "bbeh:dyck_languages:190",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { { { < { } < ( ( < > ) ) > > } } { [ [ { } ] ] [ ] < < { } > [ ( ) { ( { } ) } ] > ( [ < [ ( ( { } ( ) < > < [ < < { { ( [ { } ] ) } } { } { } > > ] > ( ) ) ) < > ] > ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: { ; stack: {{\nThought 5: { ; stack: {{{\nThought 6: < ; stack: {{{ <\nThought 7: { ; stack: {{{ < {\nThought 8: < ; stack: {{{ < { <\nThought 9: ( ; stack: {{{ < { < (\nThought 10: ( ; stack: {{{ < { < ( (\nThought 11: < ; stack: {{{ < { < ( ( <\nThought 12: > ; stack: {{{ < { < ( (\nThought 13: ) ; stack: {{{ < { <\nThought 14: ) ; stack: {{{ < {\nThought 15: > ; stack: {{{ <\nThought 16: > ; stack: {{{\nThought 17: } ; stack: {{\nThought 18: } ; stack: {\nThought 19: { ; stack: {\nThought 20: [ ; stack: { [\nThought 21: [ ; stack: { [ [\nThought 22: { ; stack: { [ [ {\nThought 23: } ; stack: { [ [\nThought 24: ] ; stack: { [\nThought 25: ] ; stack: {\nThought 26: < ; stack: { <\nThought 27: < ; stack: { < <\nThought 28: { ; stack: { < < {\nThought 29: > ; stack: { < <\nThought 30: [ ; stack: { < [\nThought 31: ( ; stack: { < [ (\nThought 32: [ ; stack: { < [ [\nThought 33: ( ; stack: { < [ [ (\nThought 34: { ; stack: { < [ [ ( {\nThought 35: } ; stack: { < [ [ (\nThought 36: ) ; stack: { < [ [\nThought 37: < ; stack: { < [ <\nThought 38: < ; stack: { < [ < <\nThought 39: { ; stack: { < [ < < {\nThought 40: { ; stack: { < [ < < { {\nThought 41: ( ; stack: { < [ < < { { (\nThought 42: ] ; stack: { < [ < < { {\nThought 43: ) ; stack: { < [ < < {\nThought 44: } ; stack: { < [ < <\nThought 45: } ; stack: { < [ <\nThought 46: > ; stack: { < [\nThought 47: ] ; stack: { <\nThought 48: ] ; stack: {\nThought 49: ) ; stack: empty\nThought 50: Now, we have reached the end. The final stack is empty.\nThought 51: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "dafe5a3db48473d65e5d8cf5f7f16853e0047fc40cfabe20ee4b44b4e432a89d",
    "id": "bbeh:dyck_languages:197",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( ) ( ) [ ( ( [ [ { < > } { { { } } } ] { < [ ( ) ] ( [ ] ) [ ] > } [ ( { { { < { < ( < > ) > } > } [ ] [ ( { ( [ { } ] ) [ ( { ( [ { [ { < > } ] } ] ) < [ ] > ( ) } ) ] } ) ] } } ) ] ] ) ) ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: ) ; stack: [\nThought 6: ( ; stack: [ (\nThought 7: ) ; stack: [\nThought 8: [ ; stack: [ [\nThought 9: ( ; stack: [ [ (\nThought 10: [ ; stack: [ [ [\nThought 11: { ; stack: [ [ [ {\nThought 12: < ; stack: [ [ [ { <\nThought 13: > ; stack: [ [ [ {\nThought 14: } ; stack: [ [ [\nThought 15: { ; stack: [ [ [ {\nThought 16: { ; stack: [ [ [ { {\nThought 17: { ; stack: [ [ [ { { {\nThought 18: } ; stack: [ [ [ { {\nThought 19: } ; stack: [ [ [ {\nThought 20: } ; stack: [ [ [\nThought 21: { ; stack: [ [ {\nThought 22: < ; stack: [ [ { <\nThought 23: [ ; stack: [ [ { < [\nThought 24: ( ; stack: [ [ { < [ (\nThought 25: ) ; stack: [ [ { < [\nThought 26: ] ; stack: [ [ { <\nThought 27: ] ; stack: [ [ {\nThought 28: > ; stack: [ [\nThought 29: [ ; stack: [ [ [\nThought 30: ( ; stack: [ [ [ (\nThought 31: { ; stack: [ [ [ ( {\nThought 32: { ; stack: [ [ [ ( { {\nThought 33: < ; stack: [ [ [ ( { { <\nThought 34: { ; stack: [ [ [ ( { { < {\nThought 35: < ; stack: [ [ [ ( { { < { <\nThought 36: ( ; stack: [ [ [ ( { { < { < (\nThought 37: > ; stack: [ [ [ ( { { < { <\nThought 38: ) ; stack: [ [ [ ( { { <\nThought 39: > ; stack: [ [ [ ( { {\nThought 40: } ; stack: [ [ [ ( {\nThought 41: } ; stack: [ [ [ (\nThought 42: ] ; stack: [ [ [\nThought 43: [ ; stack: [ [ [ [\nThought 44: ( ; stack: [ [ [ [ (\nThought 45: { ; stack: [ [ [ [ ( {\nThought 46: ] ; stack: [ [ [ [ (\nThought 47: ) ; stack: [ [ [ [\nThought 48: ] ; stack: [ [ [\nThought 49: ] ; stack: [ [\nThought 50: ) ; stack: [\nThought 51: ) ; stack: empty\nThought 52: So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "0642b9f825d001d941a0b229228928f271cce990e7e0812cc10ee22aaee2e77b",
    "id": "bbeh:dyck_languages:198",
    "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { ( < < > { { < > ( ) } < { { < ( < < { ( [ ( ) ] ) } > > ) > } } > } [ { < [ ] > { [ < > ] } } ] > { < { } < [ [ ] ] > > } ) < < < { } [ { } ] > > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: ( ; stack: < { (\nThought 6: < ; stack: < { ( <\nThought 7: < ; stack: < { ( < <\nThought 8: > ; stack: < { ( <\nThought 9: { ; stack: < { ( < {\nThought 10: { ; stack: < { ( < { {\nThought 11: < ; stack: < { ( < { { <\nThought 12: > ; stack: < { ( < { {\nThought 13: ( ; stack: < { ( < { { (\nThought 14: ) ; stack: < { ( < { {\nThought 15: > ; stack: < { ( < {\nThought 16: } ; stack: < { ( <\nThought 17: } ; stack: < { (\nThought 18: > ; stack: < {\nThought 19: } ; stack: <\nThought 20: [ ; stack: [\nThought 21: { ; stack: [ {\nThought 22: < ; stack: [ { <\nThought 23: [ ; stack: [ { < [\nThought 24: ] ; stack: [ { <\nThought 25: > ; stack: [ {\nThought 26: { ; stack: [ { {\nThought 27: < ; stack: [ { { <\nThought 28: { ; stack: [ { { < {\nThought 29: } ; stack: [ { { <\nThought 30: > ; stack: [ { {\nThought 31: } ; stack: [ {\nThought 32: ] ; stack: [\nThought 33: > ; stack: empty\nThought 34: { ; stack: {\nThought 35: < ; stack: { <\nThought 36: { ; stack: { < {\nThought 37: } ; stack: { <\nThought 38: < ; stack: { <\nThought 39: [ ; stack: { < [\nThought 40: [ ; stack: { < [ [\nThought 41: ] ; stack: { < [\nThought 42: ] ; stack: { <\nThought 43: > ; stack: {\nThought 44: ) ; stack: {\nThought 45: < ; stack: { <\nThought 46: < ; stack: { < <\nThought 47: { ; stack: { < < {\nThought 48: } ; stack: { < <\nThought 49: ] ; stack: { <\nThought 50: ] ; stack: {\nThought 51: > ; stack: empty\nThought 52: > ; stack: empty\nThought 53: > ; stack: empty\nThought 54: Now, we have reached the end. The final stack is \"{\".\nThought 55: We will need to pop out \"{\" one by one in that order.\nThought 56: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "dyck_languages"
  },
  {
    "dataset": "bbeh",
    "family": "5f3a85a6616b04d4a03f1dfccc80aa74d910d6954dc1ad85eb27fa8136fbea40",
    "id": "bbeh:geometric_shapes:000",
    "request": "Suppose we draw this SVG path element: M 0.0,9.0 L 23.94298,9.0 M 23.94298,28.49359 L 0.0,28.49359 M 23.94298,28.49359 L 23.94298,9.0 M 0.0,0.0 L 23.94298,-0.0 M 37.94298,28.49359 L 23.94298,28.49359 M 37.94298,9.0 L 37.94298,28.49359 M 0.0,9.0 L 0.0,0.0 M 31.22298,9.0 L 37.94298,9.0 M 23.94298,9.0 L 23.94298,28.49359 M 23.94298,9.0 L 0.0,9.0 M 23.94298,9.0 L 31.22298,9.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 2\n(B) 1, 3 and 6\n(C) only 6\n(D) only 2\n(E) only 1\n(F) 2, 5, 9 and 10\n(G) none of the above\n(H) 1, 3 and 9\n(I) only 7\n(J) 1, 6, 7 and 10\n(K) 1 and 10\n(L) 1 and 5\n(M) 1, 7 and 8\n(N) 3 and 4\n(O) 1 and 8\n(P) 1 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "17d3c04521805cb9727ba4422e6143e8546abe6a16ea166d2be61e71e80748dd",
    "id": "bbeh:geometric_shapes:001",
    "request": "Suppose we draw this SVG path element: M -18.79981,-10.4432 L -11.38468,-15.78967 M 0.0,-17.0 L 0.0,0.0 M -6.70588,-26.30053 L -4.02353,-22.58032 M -14.12101,-3.95407 L -18.79981,-10.4432 M -6.70588,-9.30053 L -6.70588,-26.30053 M -14.12101,-3.95407 L -7.41512,5.34646 M -4.02353,-22.58032 L 0.0,-17.0 M -6.70588,-9.30053 L -14.12101,-3.95407 M 0.0,0.0 L -4.49294,-6.23136 L -6.70588,-9.30053 M 0.0,0.0 L 6.43335,8.92256 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5, 3 and 6\n(B) none of the above\n(C) only 5\n(D) 5 and 9\n(E) 5 and 3\n(F) 5 and 10\n(G) only 9\n(H) 5 and 4\n(I) 7 and 8\n(J) only 1\n(K) only 3\n(L) 6 and 10\n(M) only 2\n(N) 5 and 2\n(O) 8 and 10\n(P) 5, 1 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "22725a25f395cfe9c164df69edc04863d49a10dbb1015a675229d2d24d12513b",
    "id": "bbeh:geometric_shapes:008",
    "request": "Suppose we draw this SVG path element: M 26.80128,42.06353 L 32.00262,42.06353 M 23.61336,24.64742 L 23.61336,0.0 M 23.61336,42.06353 L 43.55214,51.36114 M 32.00262,24.64742 L 27.80799,31.91274 M 23.61336,34.22628 L 23.61336,42.06353 M 0.0,0.0 L 0.0,24.64742 M 32.00262,42.06353 L 23.61336,42.06353 M 27.80799,31.91274 L 23.61336,24.64742 M 23.61336,42.06353 L -0.0,42.06353 M 43.55214,51.36114 L 51.9414,51.36114 M 0.0,24.64742 L 23.61336,24.64742 L 23.61336,34.22628 M 23.61336,42.06353 L 26.80128,42.06353 M 32.00262,42.06353 L 32.00262,24.64742 M 51.9414,51.36114 L 32.00262,42.06353 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 2\n(B) 5 and 8\n(C) 5, 1 and 6\n(D) none of the above\n(E) 5, 8 and 6\n(F) 5 and 1\n(G) 3 and 9\n(H) 8 and 9\n(I) only 1\n(J) 8 and 1\n(K) 5 and 3\n(L) 5, 4 and 7\n(M) only 10\n(N) 5 and 9\n(O) 5 and 10\n(P) 5, 8 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "cc13a77ea5ad677fdb76e3da7893a6e8d9a6fbe8443a227d886d4d126585f403",
    "id": "bbeh:geometric_shapes:013",
    "request": "Suppose we draw this SVG path element: M 12.75,29.11117 L 12.75,17.61117 M 4.08,29.11117 L 0.0,29.11117 M 9.95929,23.36117 L 5.17883,20.60117 M 12.75,10.61117 L 18.81218,14.11117 M 12.75,29.11117 L 4.08,29.11117 M 16.20544,15.61617 L 12.75,17.61117 M 0.0,17.61117 L 12.75,17.61117 M 0.0,29.11117 L 9.95929,23.36117 M 12.75,17.61117 L 12.75,29.11117 M 12.75,17.61117 L 32.25,17.61117 L 32.25,16.00117 M 32.25,29.11117 L 12.75,29.11117 M 18.81218,14.11117 L 16.20544,15.61617 M 5.17883,20.60117 L 0.0,17.61117 M 0.0,0.0 L 0.0,17.61117 M 32.25,16.00117 L 32.25,10.61117 L 27.765,10.61117 L 12.75,10.61117 M 32.25,17.61117 L 32.25,29.11117 M 12.75,17.61117 L 12.75,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 8 and 10\n(B) 8 and 2\n(C) 8, 2 and 6\n(D) 8, 3 and 6\n(E) only 8\n(F) 1 and 8\n(G) none of the above\n(H) 1 and 5\n(I) 1, 8 and 2\n(J) 8 and 10\n(K) only 1\n(L) 1, 6 and 10\n(M) 8 and 3\n(N) 8 and 7\n(O) 1, 4, 7 and 10\n(P) 6 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "824eff9c283c8ffe2671977f48f574b547f5d716aaec901ad3d65b8429bea58c",
    "id": "bbeh:geometric_shapes:016",
    "request": "Suppose we draw this SVG path element: M -8.12,40.77352 L 0.0,45.26618 L 10.16658,50.89118 M 12.90822,49.24091 L 10.16658,50.89118 M 2.87,70.85411 L 7.0,73.13917 M 0.0,69.26618 L 0.0,45.26618 M 16.41534,5.97469 L 0.0,0.0 M 10.16658,50.89118 L 0.0,69.26618 L 2.87,70.85411 M -14.0,37.52022 L -8.12,40.77352 M 7.0,73.13917 L 17.16658,54.76417 L 17.02068,46.7655 M 0.0,45.26618 L 0.0,23.0 M 0.0,0.0 L 0.0,23.0 L -14.0,37.52022 M 17.02068,46.7655 L 12.90822,49.24091 M 0.0,23.0 L 16.41534,5.97469 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 7 and 6\n(B) 3 and 4\n(C) 7 and 6\n(D) 3, 4 and 7\n(E) only 7\n(F) only 4\n(G) only 3\n(H) 3, 4 and 9\n(I) 7 and 1\n(J) 3, 4, 8 and 10\n(K) 3, 4 and 1\n(L) 4, 7 and 2\n(M) 7 and 2\n(N) 3 and 9\n(O) none of the above\n(P) 3 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "abcaf19c8d5c553b946e8ad0ac758000ccbbb08084c260d65d0da088781f5dc5",
    "id": "bbeh:geometric_shapes:022",
    "request": "Suppose we draw this SVG path element: M 5.7735,-0.0 L 2.88675,5.0 M 0.0,6.88855 L 5.7735,6.88855 M -8.15579,11.64767 L -14.33738,20.47589 M 2.88675,5.0 L 0.0,0.0 M 0.0,6.88855 L -6.30934,9.01067 M -14.33738,20.47589 L -26.65908,24.62025 M -18.63104,13.15503 L -6.30934,9.01067 L -8.15579,11.64767 M -26.65908,24.62025 L -18.63104,13.15503 M 0.0,0.0 L 0.0,6.88855 M 5.7735,6.88855 L 5.7735,-0.0 M -6.30934,9.01067 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 3\n(B) 3, 5 and 8\n(C) 5 and 7\n(D) 3, 8 and 7\n(E) 5, 8 and 4\n(F) none of the above\n(G) only 2\n(H) 3, 8, 2 and 9\n(I) 5, 8 and 10\n(J) 8 and 6\n(K) 3, 8 and 1\n(L) only 8\n(M) only 5\n(N) 3 and 5\n(O) 3, 5, 8 and 6\n(P) 3, 5, 8, 4 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "e511abd363648db081f38468441f0ef5990f51573692c03d92ae9de5fd61bd13",
    "id": "bbeh:geometric_shapes:026",
    "request": "Suppose we draw this SVG path element: M 0.0,12.56391 L 14.33633,25.03266 M 9.62406,0.0 L 4.81203,-8.33468 M 0.0,0.0 L 0.0,12.56391 L -9.10937,4.6412 M -16.0,12.56391 L -21.2818,7.97016 M 4.81203,-8.33468 L 0.0,0.0 M 0.0,12.56391 L 9.62406,12.56391 M -14.39118,0.04745 L -7.77197,-2.22985 L -9.10937,4.6412 M 23.96039,25.03266 L 9.62406,12.56391 M -16.0,12.56391 L 0.0,12.56391 M 14.33633,25.03266 L 23.96039,25.03266 M 9.62406,12.56391 L 0.0,12.56391 M -16.04493,1.9489 L -14.39118,0.04745 M 9.62406,12.56391 L 9.62406,0.0 M -9.10937,4.6412 L -16.0,12.56391 M -21.2818,7.97016 L -16.04493,1.9489 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4, 5 and 7\n(B) 5, 2 and 3\n(C) 6 and 8\n(D) only 9\n(E) 7 and 10\n(F) only 5\n(G) none of the above\n(H) only 4\n(I) only 7\n(J) 4 and 7\n(K) 4, 5, 7 and 9\n(L) 4, 7 and 10\n(M) 5, 7, 2 and 10\n(N) 5 and 10\n(O) 4, 5, 7 and 3\n(P) 4 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "ec8b821faf8c624d95ea1aa616d2ed97e1d71ef2afe254e11a1ca939ba8f8b46",
    "id": "bbeh:geometric_shapes:028",
    "request": "Suppose we draw this SVG path element: M -21.21973,5.2637 L 0.0,0.0 M 0.0,8.0 L 0.0,0.0 M 2.26391,-32.53885 L -15.16836,-15.74497 M 20.07156,0.0 L 20.07156,8.0 M 2.26391,-32.53885 L 15.22698,-45.02719 M 13.24853,-12.76334 L 0.0,0.0 M 20.38423,-39.6739 L 30.39535,-29.28222 M 17.43227,-16.79387 L 13.24853,-12.76334 M 20.07156,8.0 L 0.0,8.0 M 9.0322,0.0 L 20.07156,0.0 M -16.80223,-10.07263 L -21.21973,5.2637 M -15.16836,-15.74497 L -16.80223,-10.07263 M 17.43227,-16.79387 L 2.26391,-32.53885 M 0.0,0.0 L 17.43227,-16.79387 M 15.22698,-45.02719 L 20.38423,-39.6739 M 0.0,0.0 L 9.0322,0.0 M 20.07156,0.0 L 17.43227,-16.79387 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 1, 3 and 7\n(C) 3 and 7\n(D) 1, 5, 8 and 10\n(E) 1, 4 and 9\n(F) only 7\n(G) 3, 7, 5, 6 and 10\n(H) 3, 7 and 6\n(I) only 2\n(J) only 3\n(K) 3, 7 and 8\n(L) 3, 7 and 4\n(M) 1 and 9\n(N) 1 and 3\n(O) 3, 6 and 8\n(P) 3 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "aba74af8e566081cd44b53dd5e2a0196a48c724314427fb24878f8196618d0fa",
    "id": "bbeh:geometric_shapes:038",
    "request": "Suppose we draw this SVG path element: M 0.93317,-9.85541 L 1.87001,-8.72261 M 5.33333,20.02518 L 5.33333,23.98518 M 0.0,0.0 L 5.39429,-4.46112 M 1.86667,5.24481 L 5.33333,14.98518 M 5.33333,23.98518 L 0.0,9.0 L 0.0,0.0 L 1.86667,5.24481 M 10.98599,12.97336 L 5.33333,14.98518 M -4.46112,-5.39429 L 0.93317,-9.85541 M -2.05212,-2.48137 L -4.46112,-5.39429 M 5.65266,-2.01182 L 10.98599,12.97336 M 5.33333,14.98518 L 5.33333,20.02518 M 5.39429,-4.46112 L 0.0,0.0 L -2.05212,-2.48137 M 11.04695,-6.47294 L 5.65266,-2.01182 M 5.33333,14.98518 L 3.73333,10.48963 M 1.87001,-8.72261 L 5.39429,-4.46112 M 0.0,0.0 L 5.65266,-2.01182 M 5.39429,-4.46112 L 11.04695,-6.47294 M 3.73333,10.48963 L 0.0,0.0 M 5.65266,-2.01182 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 5 and 7\n(B) 1, 5 and 6\n(C) 1, 2, 5 and 10\n(D) 2 and 5\n(E) only 10\n(F) none of the above\n(G) 1 and 9\n(H) 2 and 7\n(I) 1, 2 and 10\n(J) 1, 2 and 5\n(K) 1, 2 and 3\n(L) only 8\n(M) 2, 5, 7 and 8\n(N) 1 and 2\n(O) only 1\n(P) only 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "de1a37106fcc6afea9d91026c8426e862456120e3bf51bd137a6109961fdd8be",
    "id": "bbeh:geometric_shapes:046",
    "request": "Suppose we draw this SVG path element: M 0.0,9.92333 L 0.0,14.17619 M 7.45634,28.27918 L 9.5,16.45448 M 18.25184,18.55336 L 9.5,16.45448 L 17.31025,29.98223 L 7.45634,28.27918 M -0.35391,14.75143 L 2.3387,22.07194 M 7.45634,28.27918 L -2.39758,26.57613 M 3.09816,24.1367 L 9.5,16.45448 M 21.77369,31.05265 L 26.06209,32.0811 M -1.86623,23.50171 L -0.35391,14.75143 M 26.06209,32.0811 L 21.84455,24.77612 M 17.31025,29.98223 L 21.77369,31.05265 M 21.84455,24.77612 L 18.25184,18.55336 M 8.45773,22.48508 L 7.45634,28.27918 M 0.0,0.0 L 0.0,9.92333 M -2.39758,26.57613 L -1.86623,23.50171 M 2.3387,22.07194 L 3.09816,24.1367 M 0.0,14.17619 L 9.5,16.45448 L 0.0,0.0 M 9.5,16.45448 L 8.45773,22.48508 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4, 5, 8 and 1\n(B) 3, 5 and 8\n(C) none of the above\n(D) 3, 4, 5 and 8\n(E) 5, 8 and 6\n(F) 4, 2 and 6\n(G) 4 and 5\n(H) 3 and 2\n(I) 4, 5 and 2\n(J) only 3\n(K) 4, 5 and 8\n(L) 5 and 6\n(M) 8, 6 and 9\n(N) 4 and 8\n(O) 4, 8 and 6\n(P) 3, 4, 8 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "15713e3c2be43ef53299212d13838904ef35248f582cecf852c70808a39bc1d6",
    "id": "bbeh:geometric_shapes:048",
    "request": "Suppose we draw this SVG path element: M 12.28373,-8.36089 L 13.40783,-5.73106 M 8.0,16.97107 L 0.0,12.0 L 0.0,0.0 M 19.1991,-20.16924 L 9.08437,-15.84579 M 1.45154,-1.93635 L 0.0,0.0 M 13.40783,-5.73106 L 21.40783,-0.75999 M 8.0,11.69107 L 8.0,16.97107 M 9.08437,-15.84579 L -4.32345,-10.11473 M 0.0,0.0 L 13.40783,-5.73106 L 23.52256,-10.05452 M 21.40783,-0.75999 L 8.0,4.97107 M -4.32345,-10.11473 L 6.59789,-8.80159 M 13.40783,-5.73106 L 9.08437,-15.84579 L 12.28373,-8.36089 M 23.52256,-10.05452 L 19.1991,-20.16924 M 0.0,0.0 L 8.0,4.97107 L 0.0,0.0 M 8.0,4.97107 L 8.0,11.69107 M 6.59789,-8.80159 L 1.45154,-1.93635 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 4\n(B) 2 and 8\n(C) only 2\n(D) 2, 3 and 9\n(E) 2 and 5\n(F) 2 and 6\n(G) 5, 8 and 4\n(H) only 8\n(I) 2, 5 and 8\n(J) 2 and 9\n(K) 8 and 6\n(L) 8 and 9\n(M) 2, 8 and 7\n(N) only 9\n(O) 2 and 3\n(P) 8 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "0058a32778e3af2a94cd0b6ff4c88307a1f995b3b4a07da78c1b437930e18bd2",
    "id": "bbeh:geometric_shapes:055",
    "request": "Suppose we draw this SVG path element: M 32.50129,21.29398 L 32.50129,19.42849 M 31.68694,8.48127 L 24.92694,12.38416 M 31.32765,31.42648 L 32.50129,31.42648 M 17.95616,0.0 L 20.37694,-0.0 L 26.61694,3.60266 M 8.96585,15.01111 L 13.53029,15.01111 M 0.0,0.0 L 13.65255,0.0 M 30.36741,31.42648 L 29.02306,31.42648 M 20.37694,31.42648 L 24.11124,31.42648 M 32.50129,26.33772 L 32.50129,21.29398 M 24.92694,12.38416 L 21.33244,14.45945 M 20.37694,15.01111 L 0.0,15.01111 M 20.37694,31.42648 L -0.0,31.42648 M 33.37694,7.50555 L 31.68694,8.48127 M 27.16658,31.42648 L 20.37694,31.42648 M 29.75358,5.4136 L 33.37694,7.50555 M 32.50129,31.42648 L 32.50129,30.25607 M 5.31732,15.01111 L 6.45541,15.01111 M 32.50129,19.42849 L 32.50129,15.01111 M 20.37694,31.42648 L 20.37694,36.25648 M 6.45541,15.01111 L 8.31314,15.01111 M 0.0,15.01111 L 3.80869,15.01111 M 28.84774,4.89061 L 29.75358,5.4136 M 30.9649,31.42648 L 30.36741,31.42648 M 20.37694,38.42648 L 23.52927,38.42648 M 32.11719,31.42648 L 30.9649,31.42648 M 27.16658,31.42648 L 31.32765,31.42648 M 8.67213,15.01111 L 8.96585,15.01111 M -0.0,31.42648 L -3.12755,29.62079 M 32.50129,30.25607 L 32.50129,26.33772 M 13.65255,0.0 L 17.95616,0.0 M -3.12755,29.62079 L -14.21613,23.21879 M 8.31314,15.01111 L 8.67213,15.01111 M 0.0,15.01111 L 0.0,10.35767 M -10.80426,21.24895 L 0.0,15.01111 M 0.0,10.35767 L 0.0,7.14679 M 23.52927,38.42648 L 32.50129,38.42648 M 29.02306,31.42648 L 27.16658,31.42648 M 32.50129,38.42648 L 32.50129,31.42648 M 26.61694,3.60266 L 28.84774,4.89061 M 24.11124,31.42648 L 27.16658,31.42648 M 20.37694,15.01111 L 20.37694,31.42648 M 21.33244,14.45945 L 20.37694,15.01111 M 3.80869,15.01111 L 5.31732,15.01111 M 13.53029,15.01111 L 20.37694,15.01111 M 32.50129,31.42648 L 32.11719,31.42648 M 0.0,7.14679 L 0.0,0.0 M 20.37694,36.25648 L 20.37694,38.42648 M -14.21613,23.21879 L -10.80426,21.24895 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 6, 9 and 10\n(B) none of the above\n(C) 1, 7 and 6\n(D) only 7\n(E) only 4\n(F) 7 and 9\n(G) 7, 8 and 9\n(H) 1 and 7\n(I) 7 and 5\n(J) 2, 4, 6 and 10\n(K) only 1\n(L) 1 and 10\n(M) 1, 7 and 8\n(N) 1, 4 and 10\n(O) 7, 3 and 8\n(P) 1 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "b98f6b0158ea95a04da64571a4030ac1e7d1e414fe2786f84b53879aeb78ef56",
    "id": "bbeh:geometric_shapes:057",
    "request": "Suppose we draw this SVG path element: M 19.99779,34.64996 L 23.15226,29.18827 M 0.0,7.0 L 0.0,0.0 M 12.0,20.79227 L 12.0,25.90227 M 27.70297,11.72951 L 28.15113,11.47086 L 30.18821,10.29518 M 27.06821,4.88919 L 18.18821,-10.4971 M 25.9696,20.79451 L 23.68,20.79414 M 30.18821,10.29518 L 38.186,24.15286 M 12.0,27.79227 L 2.76,11.78222 M 23.68,20.79414 L 18.424,20.7933 M 12.0,25.90227 L 12.0,27.79227 M 38.186,24.15286 L 19.99779,34.64996 M 27.84821,6.24069 L 27.06821,4.88919 M 2.76,11.78222 L 0.0,7.0 M 18.424,20.7933 L 12.0,20.79227 M 23.15226,29.18827 L 25.8394,24.53572 M 26.82715,12.23498 L 27.70297,11.72951 M 26.94131,22.62787 L 28.0,20.79483 M 30.18821,10.29518 L 27.84821,6.24069 M 0.0,0.0 L 12.0,20.79227 M 25.8394,24.53572 L 26.94131,22.62787 M 26.55057,12.3946 L 26.82715,12.23498 M 28.0,20.79483 L 25.9696,20.79451 M 12.0,20.79227 L 18.98427,16.76139 L 26.55057,12.3946 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 8 and 10\n(B) none of the above\n(C) only 10\n(D) 5 and 8\n(E) 5 and 9\n(F) only 8\n(G) 5, 8 and 9\n(H) 5, 8 and 7\n(I) 5, 8 and 10\n(J) only 5\n(K) 5, 8, 1 and 7\n(L) 8 and 9\n(M) 5, 2, 3 and 7\n(N) 2 and 4\n(O) 5, 8 and 1\n(P) 5, 8 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "c7b6f428ca06ed5427ca4d669f535799eb9d54defbe76a4356ab9d81b60ddae3",
    "id": "bbeh:geometric_shapes:065",
    "request": "Suppose we draw this SVG path element: M 0.0,14.3377 L -13.2662,14.3377 M -13.2662,24.8377 L -22.2662,24.8377 M -22.2662,14.3377 L -17.7662,6.54347 M -5.5734,24.8377 L -3.18389,24.8377 M -13.2662,23.8428 L -13.2662,24.07163 M -11.14891,24.8377 L -5.5734,24.8377 M -13.2662,21.55162 L -13.2662,22.7209 M -13.2662,19.7977 L -13.2662,20.2011 M -16.7267,8.34394 L -15.8762,9.81705 M 0.0,9.46288 L 0.0,10.82783 M -1.59194,2.75733 L 0.0,0.0 M -22.2662,24.8377 L -22.2662,22.5277 M 0.0,10.82783 L 0.0,14.3377 M -13.2662,-0.0 L -11.54159,2.9871 M -2.38792,24.8377 L -0.0,24.8377 M -13.2662,22.7209 L -13.2662,23.8428 M 0.0,0.0 L 0.0,9.46288 M -17.7662,6.54347 L -16.7267,8.34394 M -11.54159,2.9871 L -6.6331,11.48886 M -13.2662,20.2011 L -13.2662,21.55162 M 9.82135,3.21183 L 13.62751,4.45654 M -15.8762,9.81705 L -13.2662,14.3377 M 5.85983,1.91631 L 9.82135,3.21183 M 1.23056,0.40243 L 5.85983,1.91631 M -13.2662,24.07163 L -13.2662,24.8377 M 0.0,0.0 L 1.23056,0.40243 M -6.6331,11.48886 L -1.59194,2.75733 M -3.18389,24.8377 L -2.38792,24.8377 M -13.2662,14.3377 L -13.2662,19.7977 M -13.2662,14.3377 L -13.2662,-0.0 M -13.2662,24.8377 L -11.14891,24.8377 M -22.2662,22.5277 L -22.2662,14.3377 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 9\n(B) 7 and 3\n(C) only 2\n(D) 8, 1 and 9\n(E) 7 and 5\n(F) 7 and 8\n(G) 7, 8 and 10\n(H) 8, 6, 9 and 10\n(I) 8 and 3\n(J) 7, 2, 6 and 9\n(K) 3 and 5\n(L) only 5\n(M) 8 and 10\n(N) 7, 1 and 9\n(O) only 8\n(P) 8 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "6cfd79e62ee4f76db39a1153f428bae156bc31b1dfd27a9840fc32ecfa9c3b40",
    "id": "bbeh:geometric_shapes:070",
    "request": "Suppose we draw this SVG path element: M 5.81238,27.93694 L 0.08825,29.47821 M 1.59339,22.89373 L 2.32883,22.15839 M 2.87683,22.70646 L 3.0225,22.85215 M 5.5117,-9.54654 L 0.0,0.0 L 0.0,3.09693 M 2.32883,22.15839 L 2.87683,22.70646 M 9.61129,13.46491 L 11.02339,13.46491 M -4.86374,29.35007 L -0.61292,25.09977 M 3.13763,22.96729 L 3.5458,23.37551 M 2.32883,22.15839 L 1.98603,20.87871 M 14.54087,20.53022 L 15.92435,19.14691 M 0.08825,29.47821 L -3.17241,30.35618 M 11.02339,0.0 L 9.03918,-3.43675 M 7.34599,-6.36945 L 5.5117,-9.54654 M 9.03918,-3.43675 L 7.34599,-6.36945 M 11.02339,8.75219 L 11.02339,0.0 M 11.02339,10.96717 L 11.02339,9.97043 L 11.02339,8.75219 M 0.0,3.09693 L 0.0,13.46491 M 13.70619,21.36479 L 14.54087,20.53022 M -4.03882,30.58947 L -4.56984,30.73245 M 7.62,27.45022 L 5.81238,27.93694 M 15.92435,19.14691 L 16.31456,18.75675 M -4.56984,30.73245 L -6.86413,31.35021 M 6.50222,17.98552 L 2.32883,22.15839 M 11.02339,13.46491 L 8.84975,15.63828 M 0.39404,14.93585 L 0.28469,14.52766 M 3.5458,23.37551 L 7.62,27.45022 M 4.29912,13.46491 L 9.61129,13.46491 M 0.0,13.46491 L 4.29912,13.46491 M 1.98603,20.87871 L 0.83838,16.59456 M -0.61292,25.09977 L 1.59339,22.89373 M 7.79336,16.69454 L 6.50222,17.98552 M 11.02339,13.46491 L 11.02339,10.96717 M -6.86413,31.35021 L -4.86374,29.35007 M 8.84975,15.63828 L 7.79336,16.69454 M 0.09851,13.83264 L 0.0,13.46491 M 11.57602,23.49469 L 13.70619,21.36479 M 0.28469,14.52766 L 0.09851,13.83264 M 7.62,27.45022 L 11.57602,23.49469 M 0.83838,16.59456 L 0.39404,14.93585 M -3.17241,30.35618 L -4.03882,30.58947 M 3.0225,22.85215 L 3.13763,22.96729 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 7\n(B) only 3\n(C) only 4\n(D) 3, 4 and 7\n(E) 7 and 9\n(F) 3, 7 and 2\n(G) none of the above\n(H) 1 and 8\n(I) 4 and 8\n(J) only 9\n(K) 3 and 4\n(L) 3, 4 and 6\n(M) 3, 7 and 9\n(N) 3, 4 and 9\n(O) 3 and 5\n(P) only 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "06bd84546cdb2f65096faa7a9ab86aa9432f9afb7ca3f0187545ae98461bbe22",
    "id": "bbeh:geometric_shapes:072",
    "request": "Suppose we draw this SVG path element: M 53.37618,15.19816 L 55.93947,12.23237 M 53.37618,15.19816 L 37.40215,33.68056 M 43.43126,4.27668 L 41.66807,3.93918 M 47.83138,5.11894 L 46.69483,4.90138 M 23.5937,24.21989 L 23.79685,23.1586 M 20.66968,39.49553 L 22.34816,30.72682 M 46.3544,4.83622 L 46.02733,4.77361 M 21.97833,39.04074 L 20.66968,39.49553 M 44.08028,4.40091 L 43.43126,4.27668 M 45.20523,-2.43774 L 46.17691,0.35823 M 57.67361,10.22592 L 58.60738,9.14552 M 35.5013,3.87006 L 28.37049,4.27684 M 39.97403,3.61491 L 43.05652,6.27906 M 58.60738,9.14552 L 45.20523,-2.43774 M 26.05413,4.40897 L 24.98598,4.4699 M 13.68,2.57991 L 18.1661,3.42594 M 22.34816,30.72682 L 23.33394,25.57695 M 46.02733,4.77361 L 44.08028,4.40091 M 24.98598,4.4699 L 24.0,4.52615 M 40.88881,3.79002 L 39.97403,3.61491 M 23.33394,25.57695 L 23.5937,24.21989 M 24.0,15.06885 L 24.0,17.38824 M 28.37049,4.27684 L 26.61006,4.37726 M 24.0,22.09731 L 39.97403,3.61491 L 36.39585,3.81903 M 0.0,24.0 L 0.0,16.08 M 46.17691,0.35823 L 47.83138,5.11894 M 24.0,22.09731 L 0.0,24.0 M 23.79685,23.1586 L 24.0,22.09731 M 46.69483,4.90138 L 46.3544,4.83622 M 28.19929,36.87879 L 26.61807,37.42831 M 41.66807,3.93918 L 40.88881,3.79002 M 26.61006,4.37726 L 26.05413,4.40897 M 37.40215,33.68056 L 28.19929,36.87879 M 24.0,4.52615 L 24.0,15.06885 M 20.1816,3.80604 L 22.85448,4.31012 M 0.0,16.08 L 0.0,0.0 M 35.65973,3.86102 L 35.5013,3.87006 M 22.85448,4.31012 L 23.5647,4.44406 M 18.1661,3.42594 L 20.1816,3.80604 M 43.05652,6.27906 L 53.37618,15.19816 M 0.0,0.0 L 13.68,2.57991 M 23.5647,4.44406 L 24.0,4.52615 M 35.70705,3.85832 L 35.65973,3.86102 M 24.0,17.38824 L 24.0,22.09731 M 36.39585,3.81903 L 35.70705,3.85832 M 55.93947,12.23237 L 57.67361,10.22592 M 26.61807,37.42831 L 21.97833,39.04074 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 6\n(B) 6 and 7\n(C) 2, 5 and 9\n(D) 3 and 6\n(E) only 8\n(F) 6, 7, 8 and 5\n(G) 3, 6 and 1\n(H) only 3\n(I) 3, 6, 7 and 8\n(J) only 4\n(K) none of the above\n(L) 3 and 7\n(M) 3, 8 and 4\n(N) 6, 7 and 8\n(O) 6, 8 and 4\n(P) 3, 6 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "b0f27a83feadf6a33d60e956b18a8484f0a202f49b0e6652f15df51da0b27ff7",
    "id": "bbeh:geometric_shapes:073",
    "request": "Suppose we draw this SVG path element: M 19.03578,0.0 L 16.93423,0.0 M -2.88675,5.0 L -2.02073,3.5 M -9.6135,-22.85723 L -8.8071,-21.4605 M 8.75646,4.32 L 19.03578,0.0 M -4.92,-24.72784 L -9.6636,-32.944 M -13.4487,-29.49999 L -12.29814,-27.50716 M -5.7735,-6.22316 L -5.7735,-3.24123 M -12.29814,-27.50716 L -9.6135,-22.85723 M 19.03578,-3.50053 L 19.03578,0.0 M -2.07846,-16.20615 L -5.7735,-16.20615 M 9.89861,0.0 L 7.42396,0.0 M -12.0,-36.99076 L -16.21466,-36.99076 M 14.08648,-16.20615 L 19.03578,-16.20615 M -17.7735,-36.99076 L -13.4487,-29.49999 M -5.7735,-0.0 L -2.88675,5.0 M 0.0,-16.20615 L 14.08648,-16.20615 M 16.93423,0.0 L 9.89861,0.0 M -2.02073,3.5 L -1.23265,2.135 M 0.0,0.0 L 0.0,8.0 M -8.8071,-21.4605 L -5.7735,-16.20615 M -5.7735,-10.41602 L -5.7735,-6.22316 M -5.7735,-16.20615 L -5.7735,-10.41602 M -5.7735,-3.24123 L -5.7735,-2.04197 M 0.0,-10.37194 L 0.0,-16.20615 L -3.1488,-21.66003 M 19.03578,-13.77523 L 19.03578,-12.96492 M -3.1488,-21.66003 L -4.92,-24.72784 M 19.03578,-16.20615 L 19.03578,-14.4802 M 0.0,0.0 L 0.0,-10.37194 M 0.0,-16.20615 L -2.07846,-16.20615 M -5.7735,-2.04197 L -5.7735,-0.85763 M 19.03578,-12.96492 L 19.03578,-3.50053 M 0.0,8.0 L 8.75646,4.32 M 19.03578,-14.4802 L 19.03578,-13.77523 M -5.7735,-0.85763 L -5.7735,-0.0 M -5.7735,-16.20615 L 0.0,-16.20615 M -1.23265,2.135 L 0.0,0.0 M 7.42396,0.0 L 0.0,0.0 M -16.21466,-36.99076 L -17.7735,-36.99076 M -9.6636,-32.944 L -12.0,-36.99076 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 5\n(B) 5, 3 and 6\n(C) 1, 5, 7 and 6\n(D) 1 and 5\n(E) 5, 2 and 10\n(F) 1, 4, 5 and 7\n(G) 4, 5, 7, 3, 6 and 9\n(H) 1, 4, 5, 8 and 10\n(I) 1 and 4\n(J) 1, 4 and 5\n(K) 1, 4 and 7\n(L) 5, 7 and 6\n(M) only 5\n(N) 1, 4, 5 and 6\n(O) 1, 5, 7, 6 and 10\n(P) 5 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "a4a31419da6c2a5f4287da7d4c3a277ecf5219bc12020d1120bb74417f1c7e6b",
    "id": "bbeh:geometric_shapes:083",
    "request": "Suppose we draw this SVG path element: M 19.84071,-0.0 L 20.72434,-1.07112 M 11.63313,9.94909 L 9.04126,13.09091 M 19.84071,-12.57143 L 17.6503,-12.57143 M 20.72434,-1.07112 L 21.12133,-1.55235 M 23.43314,-16.92611 L 22.56116,-15.86912 M 25.56798,-19.51393 L 23.43314,-16.92611 M 0.0,5.3088 L 0.0,11.06 M 19.84071,3.8258 L 19.84071,-0.0 M 19.84071,-9.05143 L 19.84071,-0.0 M 21.55889,-14.65418 L 19.84071,-12.57143 M 19.84071,-0.0 L 19.84071,-2.97314 M 9.04126,13.09091 L 16.60088,19.32727 M 19.84071,-12.57143 L 19.84071,-9.05143 M 19.84071,-2.97314 L 19.84071,-5.40571 M 17.6503,-12.57143 L 10.31717,-12.57143 L 5.57127,-12.57143 M 0.0,11.06 L 0.0,11.7362 M 21.96982,-15.15231 L 21.55889,-14.65418 M 19.84071,-0.0 L 11.63313,9.94909 M 0.0,0.0 L 0.0,5.3088 M 21.12133,-1.55235 L 22.30344,-2.98528 M 19.84071,22.0 L 19.84071,12.8524 M 0.0,14.0 L 6.94425,9.1 L 19.84071,-0.0 M 4.16655,0.0 L 19.84071,-0.0 M 0.0,0.0 L 4.16655,0.0 M 5.57127,-12.57143 L 0.0,-12.57143 M 19.84071,-0.0 L 0.0,0.0 M 25.56798,-6.9425 L 25.56798,-19.51393 M 18.68247,21.0445 L 19.84071,22.0 M 19.84071,-5.40571 L 19.84071,-12.57143 M 24.49068,-5.63662 L 25.56798,-6.9425 M 17.73482,20.26273 L 18.68247,21.0445 M 19.84071,8.14 L 19.84071,3.8258 M 19.84071,12.8524 L 19.84071,8.14 M 16.60088,19.32727 L 17.73482,20.26273 M 22.56116,-15.86912 L 21.96982,-15.15231 M 22.30344,-2.98528 L 24.49068,-5.63662 M 0.0,11.7362 L 0.0,14.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 5\n(B) only 4\n(C) 4, 5 and 6\n(D) 5 and 1\n(E) 4, 3 and 6\n(F) 5, 3 and 10\n(G) only 10\n(H) none of the above\n(I) 5, 8 and 9\n(J) 5, 1, 2 and 8\n(K) 4, 8 and 10\n(L) 4, 5 and 3\n(M) only 9\n(N) 4, 5 and 8\n(O) 4, 5 and 2\n(P) 4 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "8ca34061001ef9bc64ea4ad3c7b3f0592fcc536bfbcb6da3f1c53ab08d62bf7c",
    "id": "bbeh:geometric_shapes:087",
    "request": "Suppose we draw this SVG path element: M -2.84146,-2.08772 L -3.94647,-2.89961 M -14.89588,-7.84121 L -10.19156,-6.30884 M -20.25821,-7.49557 L -25.374,-11.25432 M 0.0,3.55309 L 0.0,2.5088 M -25.374,-11.25432 L -14.89588,-7.84121 M 6.17143,4.53437 L 7.03543,5.16919 M -4.31188,-3.16809 L 0.0,0.0 M 4.45714,17.27482 L 0.0,14.0 M 21.87548,9.07272 L 25.68633,11.87269 M 0.0,0.0 L 6.17143,4.53437 M 6.85714,5.03819 L 0.0,0.0 M -5.72822,-4.20873 L -7.30827,-5.36965 M -18.06573,-5.88467 L -20.25821,-7.49557 M 23.14648,11.04537 L 16.61543,8.91797 M -14.19244,-4.623 L -18.06573,-5.88467 M -5.96169,-1.94194 L -14.19244,-4.623 M -3.94647,-2.89961 L -5.72822,-4.20873 M 0.0,0.0 L -5.96169,-1.94194 M 11.94991,7.39824 L 8.57143,6.29774 M 7.03543,5.16919 L 7.25143,5.32789 M 8.57143,6.29774 L 8.57143,14.27774 M 17.11491,5.57495 L 20.80062,8.28298 M 0.0,0.0 L 17.11491,5.57495 M 0.0,1.20422 L 0.0,0.0 M 0.0,14.0 L 0.0,3.92 M 16.61543,8.91797 L 11.94991,7.39824 M 20.80062,8.28298 L 21.87548,9.07272 M 8.57143,20.29774 L 4.45714,17.27482 M 7.25143,5.32789 L 8.57143,6.29774 M 25.68633,11.87269 L 24.67039,11.54176 M 8.57143,6.29774 L 6.85714,5.03819 M -10.19156,-6.30884 L -7.30827,-5.36965 M 0.0,1.60563 L 0.0,1.20422 M 8.57143,14.27774 L 8.57143,20.29774 M 0.0,2.5088 L 0.0,1.60563 M 24.67039,11.54176 L 23.14648,11.04537 M -7.30827,-5.36965 L -4.31188,-3.16809 M 0.0,0.0 L -2.84146,-2.08772 M 0.0,3.92 L 0.0,3.55309 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) only 5\n(C) 5, 3 and 6\n(D) 4 and 9\n(E) 5 and 3\n(F) only 2\n(G) only 7\n(H) 5, 1 and 7\n(I) 5 and 6\n(J) 5 and 1\n(K) only 8\n(L) 2, 4 and 6\n(M) 5, 4, 6 and 9\n(N) 5 and 10\n(O) 5 and 7\n(P) 1, 4 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "8f00286cd1e6422b279fc8a7fe15aaca5c4e48ab39a63bc2649bfff3ef0c2904",
    "id": "bbeh:geometric_shapes:091",
    "request": "Suppose we draw this SVG path element: M 22.81981,24.66746 L 22.81981,13.5671 M 27.76956,45.45426 L 24.70071,45.45426 L 22.81981,45.45426 M 29.15901,13.68763 L 28.88631,14.15996 M 30.6192,45.45426 L 27.76956,45.45426 M 26.70889,17.93137 L 22.81981,24.66746 M 28.88631,14.15996 L 28.64448,14.57882 M 30.64818,13.73172 L 29.89087,12.42002 L 29.76396,12.63982 M 31.37579,14.99198 L 30.64818,13.73172 M 29.51762,13.0665 L 29.15901,13.68763 M 22.81981,45.45426 L 22.81981,59.5964 M 31.87077,45.45426 L 35.63824,45.45426 M 0.0,11.10036 L 0.0,24.66746 M 36.96194,45.45426 L 36.96194,24.66746 M 22.81981,45.45426 L 31.87077,45.45426 M 26.77961,59.5964 L 36.96194,59.5964 M 22.81981,13.5671 L 22.81981,0.0 M 35.9824,45.45426 L 36.67787,45.45426 M 36.96194,45.45426 L 30.6192,45.45426 M 36.96194,53.23244 L 36.96194,45.45426 M 35.63824,45.45426 L 35.9824,45.45426 M 11.18171,24.66746 L 22.81981,24.66746 M 28.64448,14.57882 L 26.70889,17.93137 M 29.76396,12.63982 L 29.51762,13.0665 M -5.7606,27.99335 L 0.0,24.66746 M 36.67787,45.45426 L 36.96194,45.45426 M 0.0,45.45426 L -18.00189,35.06086 M 22.81981,24.66746 L 22.81981,45.45426 M 22.81981,59.5964 L 26.77961,59.5964 M -18.00189,35.06086 L -5.7606,27.99335 M 36.96194,59.5964 L 36.96194,53.23244 M 0.0,0.0 L 0.0,11.10036 M 6.38955,45.45426 L 0.0,45.45426 M 22.81981,45.45426 L 6.38955,45.45426 M 0.0,24.66746 L 11.18171,24.66746 M 36.96194,24.66746 L 31.37579,14.99198 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 2\n(B) only 7\n(C) 7 and 8\n(D) none of the above\n(E) 2 and 5\n(F) 7 and 9\n(G) 2 and 7\n(H) 2 and 9\n(I) 2, 1, 9 and 10\n(J) 2, 7 and 9\n(K) 7, 1 and 9\n(L) 7 and 6\n(M) only 4\n(N) 2, 7 and 1\n(O) 2, 7, 1, 8 and 10\n(P) 2 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "d6cda864aa06d8ddb5b362e434dda3ce3666622987f18bcc14d86dd71921cdfa",
    "id": "bbeh:geometric_shapes:096",
    "request": "Suppose we draw this SVG path element: M 0.0,1.34118 L 0.0,0.62832 M 0.0,0.0 L 19.45022,0.0 M 24.93618,35.07157 L 24.93618,32.68832 M 24.93618,28.83106 L 38.04261,28.83106 M 24.93618,37.186 L 24.93618,35.07157 M 24.93618,25.86485 L 24.93618,28.83106 M 24.93618,37.39979 L 24.93618,37.186 M 28.80258,20.6968 L 26.13476,16.07601 M 31.4894,25.3505 L 28.80258,20.6968 M 35.47375,18.4494 L 32.80004,23.0804 M 0.0,0.62832 L 0.0,0.0 M 0.0,14.0 L 24.93618,14.0 M 32.80004,23.0804 L 31.4894,25.3505 M 20.43989,0.0 L 21.69946,0.0 L 24.93618,-0.0 M 38.04261,28.83106 L 32.53791,32.68549 M 38.04261,14.0 L 35.47375,18.4494 M 0.0,4.76 L 0.0,2.856 M 24.93618,14.0 L 0.0,14.0 M 32.53791,32.68549 L 24.93618,38.00828 M 26.13476,16.07601 L 24.93618,14.0 M 38.04261,28.83106 L 38.04261,14.0 M 0.0,2.856 L 0.0,1.34118 M 24.93618,32.68832 L 24.93618,30.89043 M 24.93618,38.00828 L 24.93618,37.39979 M 24.93618,14.0 L 24.93618,17.20351 M 12.46809,28.83106 L 0.0,28.83106 M 19.45022,0.0 L 20.43989,0.0 M 24.93618,28.83106 L 12.46809,28.83106 M 24.93618,17.20351 L 24.93618,25.86485 M 24.93618,29.84015 L 24.93618,28.83106 M 24.93618,30.89043 L 24.93618,29.84015 M 0.0,14.0 L 0.0,4.76 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 9\n(B) 8, 3, 5 and 9\n(C) 4 and 2\n(D) only 8\n(E) only 4\n(F) none of the above\n(G) 4, 8 and 5\n(H) 4 and 8\n(I) 4, 2, 6 and 9\n(J) 8 and 9\n(K) 8, 6, 9 and 10\n(L) 4, 8, 2, 5 and 9\n(M) 4, 8, 1 and 6\n(N) 4, 8 and 10\n(O) 8 and 5\n(P) 4, 8 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "ca8111caddb072d6c23ab64fd2af8ff3573a272b0c5fac96ad5f7b2040f4cb74",
    "id": "bbeh:geometric_shapes:100",
    "request": "Suppose we draw this SVG path element: M -53.8305,41.08046 L -53.36103,41.9634 M -56.53534,40.25351 L -59.59766,43.01434 M -56.63298,44.66015 L -57.09956,44.5175 M 50.37416,6.50044 L 53.81562,1.58553 M -51.29365,35.20131 L -58.35723,38.95708 M 42.5634,1.03129 L 50.37416,6.50044 M 53.81562,1.58553 L 37.19698,-10.05097 M -49.94123,35.61478 L -49.05829,35.14531 M 20.23714,19.46521 L 0.0,5.29501 M -53.99849,34.37436 L -53.48207,35.3456 M -56.77653,44.91203 L -56.42335,44.72424 M -53.7926,39.02168 L -52.47808,41.49393 M 20.23714,14.1702 L 20.23714,19.46521 M -53.48207,35.3456 L -51.65113,38.78909 M 38.62396,5.59628 L 20.23714,14.1702 M 36.85578,25.80669 L 37.59842,17.31832 L 38.62396,5.59628 M 0.0,5.29501 L 0.0,0.0 M -55.76439,35.3133 L -53.7926,39.02168 M -56.21661,44.04803 L -57.09956,44.5175 M -57.3063,45.19371 L -56.77653,44.91203 M 50.37416,6.50044 L 36.85578,25.80669 M -56.42335,44.72424 L -56.63298,44.66015 M 33.75552,-5.13606 L 13.51838,-19.30625 M 33.75552,-5.13606 L 42.5634,1.03129 M 20.23714,14.1702 L 33.75552,-5.13606 M -49.94123,35.61478 L -56.53534,40.25351 M 0.0,0.0 L 20.23714,14.1702 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 6, 8 and 1\n(B) 5 and 6\n(C) 5 and 9\n(D) 5, 1 and 4\n(E) 5 and 3\n(F) 5 and 8\n(G) only 5\n(H) 5, 6, 3 and 9\n(I) 5, 6 and 8\n(J) 5, 6, 8 and 9\n(K) only 6\n(L) 5, 6, 8 and 4\n(M) 5, 6, 8 and 10\n(N) only 2\n(O) 6 and 7\n(P) 5, 6, 8 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "1576153d6f088eb65e88164919b4b6bca32ddf96d980f747bb6fe84f4b7e43e9",
    "id": "bbeh:geometric_shapes:106",
    "request": "Suppose we draw this SVG path element: M -10.05853,39.80199 L -12.39888,47.51709 M 0.0,23.4521 L -21.43142,23.4521 M -12.91589,41.30253 L -13.22785,42.00322 M 0.0,0.0 L 0.0,23.4521 M -21.43142,23.4521 L -30.43142,23.4521 M -8.61331,50.07824 L -8.89803,50.71772 M -12.6991,40.81561 L -12.91589,41.30253 M -8.23789,50.46432 L -8.37652,50.51753 M -8.49129,49.80418 L -8.61331,50.07824 M -13.51257,42.6427 L -7.11775,45.48985 M -8.37652,50.51753 L -8.89803,50.71772 M -21.43142,23.4521 L -21.43142,32.4521 M -8.73825,39.29518 L -8.33151,38.38163 M -7.62456,44.16957 L -8.43803,45.99666 M -8.33151,38.38163 L -8.83832,37.06135 M -21.43142,32.4521 L 0.0,32.4521 M -30.43142,29.8421 L -30.43142,32.4521 M -12.6991,40.81561 L -8.13137,42.84929 M -30.43142,23.4521 L -30.43142,29.8421 M -21.43142,32.4521 L -21.43142,23.4521 L -21.43142,-0.0 M 0.0,0.0 L 19.55837,12.94105 M -8.73825,39.29518 L -11.0786,47.01028 M -30.43142,32.4521 L -21.43142,32.4521 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5, 4 and 6\n(B) 2 and 5\n(C) 5 and 3\n(D) 5 and 7\n(E) 2 and 10\n(F) 8 and 9\n(G) only 8\n(H) only 9\n(I) only 2\n(J) 2, 5 and 6\n(K) none of the above\n(L) only 1\n(M) 3 and 8\n(N) 5 and 10\n(O) 2 and 4\n(P) only 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "17aec6487f92009390787a62485cdf000d5bdb516b2fd31417c6d59ca325b011",
    "id": "bbeh:geometric_shapes:110",
    "request": "Suppose we draw this SVG path element: M 11.14049,19.29589 L 5.01322,8.68315 M 22.28097,23.57854 L 22.28097,14.61869 M -46.30199,24.40402 L -45.35647,24.07845 M 22.28097,0.0 L 11.14049,19.29589 M -50.11525,22.54417 L -48.48741,27.27176 M 24.98097,44.72456 L 32.28097,44.72456 M -47.57307,23.78407 L -55.13722,26.38861 M 0.0,9.19563 L 0.0,23.57854 M 22.28097,14.61869 L 22.28097,0.0 M 22.28097,32.67133 L 22.28097,44.72456 M 0.0,23.57854 L 13.36858,23.57854 L 22.28097,23.57854 M 5.01322,8.68315 L 0.0,0.0 M 22.28097,23.57854 L 22.28097,32.67133 M -50.11525,22.54417 L -49.4953,21.27308 M 32.28097,44.72456 L 32.28097,23.57854 M 0.0,44.72456 L 18.31299,34.15155 M -56.22818,31.20627 L -55.07485,32.71286 M -50.99839,29.19398 L -50.67283,30.1395 M 22.28097,44.72456 L 0.0,44.72456 M 0.0,0.0 L 0.0,9.19563 M 22.28097,44.72456 L 24.98097,44.72456 M -52.00628,23.1953 L -49.72731,29.81393 M -56.99707,30.20187 L -56.22818,31.20627 M -55.07485,32.71286 L -54.12933,32.38729 M -46.30199,24.40402 L -56.70269,27.98527 M 18.31299,34.15155 L 0.0,23.57854 M -53.81936,31.75175 L -54.76488,32.07732 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 8\n(B) none of the above\n(C) 4, 5 and 6\n(D) 5 and 9\n(E) only 1\n(F) 1 and 8\n(G) 8 and 4\n(H) 1, 8, 4 and 6\n(I) 1 and 5\n(J) 1, 6 and 7\n(K) 1 and 7\n(L) 1, 8 and 7\n(M) 8 and 6\n(N) 1, 8 and 10\n(O) 3 and 9\n(P) 8 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "4bb527649189de874baf7b2dbd6c14027152cf9521b8a34c05742412c55055eb",
    "id": "bbeh:geometric_shapes:111",
    "request": "Suppose we draw this SVG path element: M -33.41177,45.60707 L -34.16648,46.26313 M -22.72614,38.63711 L -0.0,38.63711 M -31.06478,38.39932 L -30.1463,39.45591 M 23.78787,23.78787 L 13.32121,23.78787 M -22.72614,8.32575 L -22.72614,0.0 M 0.0,23.78787 L -11.36307,23.78787 M 0.0,0.0 L 23.78787,-0.0 M 0.0,0.0 L 0.0,8.32575 L 0.0,23.78787 M -33.4266,35.68236 L -31.06478,38.39932 M -30.60506,35.87966 L -36.64274,41.12814 M -22.72614,23.78787 L -22.72614,34.62782 M 12.85982,31.21249 L 0.0,23.78787 M -34.57591,41.9815 L -36.93869,45.36044 M -32.22965,23.78787 L -37.57538,23.78787 M -37.57538,28.68812 L -37.57538,38.63711 M 0.0,11.65606 L 0.0,0.0 M -22.72614,23.78787 L -22.72614,8.32575 M 23.78787,-0.0 L 23.78787,23.78787 M -37.57538,38.63711 L -22.72614,38.63711 M -37.57538,23.78787 L -37.57538,28.68812 M -0.0,38.63711 L 12.85982,31.21249 M -11.36307,23.78787 L -22.72614,23.78787 M -31.75437,42.1788 L -31.53131,42.4354 M -22.72614,38.63711 L -22.72614,23.78787 L -32.22965,23.78787 M -30.24495,40.86668 L -31.75437,42.1788 M -33.4266,35.68236 L -34.40772,36.53524 M -22.72614,34.62782 L -22.72614,38.63711 M 0.0,23.78787 L 0.0,11.65606 M -34.93602,36.99448 L -30.3436,42.27745 M -29.19429,35.97831 L -34.57591,41.9815 M -31.53131,42.4354 L -31.09831,42.93351 M -34.2158,46.96851 L -33.46109,46.31245 M 13.32121,23.78787 L 0.0,23.78787 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 6 and 7\n(B) 2 and 6\n(C) 2 and 1\n(D) 2 and 5\n(E) 2, 6 and 7\n(F) only 9\n(G) 2, 7 and 5\n(H) 2, 6, 7 and 4\n(I) 2 and 7\n(J) none of the above\n(K) 2, 4, 5, 8 and 10\n(L) 2, 6, 4 and 10\n(M) 7 and 1\n(N) only 2\n(O) 2, 7 and 4\n(P) only 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "ddf5b0d4b2c6418bc0088b9f92cdc6310bfe35c13ec1bc4432e7df6a956f8dbf",
    "id": "bbeh:geometric_shapes:112",
    "request": "Suppose we draw this SVG path element: M -33.87057,22.74538 L -32.30688,26.09872 M -14.62476,30.30977 L -3.80244,30.30977 M -34.51729,23.81932 L -39.01258,25.91551 M -14.62476,19.20136 L -14.62476,-0.0 M -31.76212,22.53456 L -34.51729,23.81932 M -34.60318,28.27289 L -34.38342,28.74417 M -22.62476,30.30977 L -22.62476,25.97749 M -3.80244,30.30977 L -0.0,30.30977 M -30.43319,23.01825 L -40.40257,27.66705 M -34.41997,21.56718 L -33.87057,22.74538 M -34.38342,28.74417 L -34.18056,29.17919 M -29.52688,22.59563 L -29.26085,21.86472 M 6.18847,4.54902 L 15.47118,11.37255 M -34.41997,21.56718 L -33.93628,20.23826 M -37.59163,31.87317 L -37.38318,31.77597 M -36.23258,22.41242 L -34.28008,26.59956 M 0.0,0.0 L 0.0,19.20136 M -29.26085,21.86472 L -29.04319,21.26671 M -38.28948,32.19859 L -37.59163,31.87317 M -14.62476,30.30977 L -22.62476,30.30977 M 0.0,0.0 L 6.18847,4.54902 M -34.41997,21.56718 L -35.59817,22.11659 M -40.40257,27.66705 L -40.46365,29.90229 M -22.62476,25.97749 L -22.62476,19.20136 M -34.28008,26.59956 L -33.27425,28.75657 M -14.62476,19.20136 L -14.62476,30.30977 M 0.0,19.20136 L -14.62476,19.20136 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 1\n(B) 3 and 9\n(C) none of the above\n(D) 1, 2 and 4\n(E) 1 and 3\n(F) 1 and 7\n(G) 1, 2, 3 and 8\n(H) only 8\n(I) 1, 3 and 4\n(J) only 7\n(K) 1, 2 and 9\n(L) 5, 6, 8 and 9\n(M) 1 and 4\n(N) 1 and 5\n(O) 1 and 6\n(P) 1 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "eb3ed0056b99f6c58daee7f3c160dff4a354b99786d4ceb4e5aa22e0bf3e5bb0",
    "id": "bbeh:geometric_shapes:114",
    "request": "Suppose we draw this SVG path element: M 35.10295,12.60457 L 12.25388,14.60361 M -17.46634,39.35207 L -23.93198,48.25126 M 0.0,6.0 L 0.0,0.0 M -22.46576,39.42798 L -18.42068,42.36691 M 21.91571,-12.66739 L -0.93336,-10.66835 M 0.0,0.0 L 7.54019,-0.65968 M -22.46576,39.42798 L -22.74084,39.8066 M -0.93336,-10.66835 L 8.77238,-6.14249 M -18.19945,43.76371 L -19.37502,45.38174 M -22.05566,42.19807 L -17.97822,45.16051 M -20.10812,49.79338 L -20.32463,49.82767 M 0.0,0.0 L 12.25388,14.60361 M 8.77238,-6.14249 L 5.35115,-3.74692 M -23.64133,41.04601 L -22.05566,42.19807 M -17.68757,37.95527 L -17.9088,36.55846 M -20.32463,49.82767 L -20.80653,49.904 M -22.46576,39.42798 L -22.687,38.03118 M 8.08756,15.63838 L 0.0,6.0 M 5.35115,-3.74692 L 0.0,0.0 M 12.25388,14.60361 L 12.25388,20.60361 M 7.54019,-0.65968 L 22.84907,-1.99903 M 3.43109,4.08901 L 0.0,0.0 M 12.25388,14.60361 L 3.43109,4.08901 M 22.84907,-1.99903 L 35.10295,12.60457 M -21.78819,41.89798 L -24.37444,45.45765 M -20.21874,49.09498 L -20.80653,49.904 M 12.25388,20.60361 L 8.08756,15.63838 M -19.67216,38.98552 L -21.78819,41.89798 M 22.84907,-1.99903 L 21.91571,-12.66739 M -22.74084,39.8066 L -23.22988,40.4797 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5 and 8\n(B) 2 and 8\n(C) 2, 5 and 1\n(D) 2, 5, 6 and 10\n(E) 2, 8 and 7\n(F) 2, 5 and 8\n(G) 8, 3, 6 and 10\n(H) only 8\n(I) 2 and 1\n(J) only 10\n(K) 2, 5, 8 and 3\n(L) only 5\n(M) none of the above\n(N) 2, 8, 1 and 10\n(O) 5, 8 and 6\n(P) 5 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "34c901513d61a9df3085bfe496d02ec4ddb81afad5c2a8fef3b5decd33636a27",
    "id": "bbeh:geometric_shapes:116",
    "request": "Suppose we draw this SVG path element: M -27.97598,33.92249 L -27.67621,34.33509 M -26.35795,32.74692 L -27.97598,33.92249 M 6.35294,22.60218 L 6.35294,29.57218 M -23.92799,26.44508 L -23.85498,25.98414 M -30.69367,28.4806 L -28.4307,31.59532 M 6.35294,29.57218 L 3.24,23.41181 M 13.34208,12.96192 L 6.35294,12.57218 M 0.0,17.0 L 0.0,9.18 M 6.35294,12.57218 L 16.70843,7.33937 M -24.29745,28.77774 L -33.19663,35.24338 M 3.24,23.41181 L 0.0,17.0 M -28.4307,31.59532 L -26.57918,34.14372 M 6.35294,12.57218 L 6.35294,22.60218 M -24.07622,27.38094 L -23.92799,26.44508 M 19.86547,13.58701 L 9.50999,18.81982 M 0.0,0.0 L 6.35294,12.57218 M -29.07564,27.30503 L -29.00485,26.85805 L -28.85441,25.90823 M 0.0,9.18 L 0.0,0.0 M -29.92586,37.19326 L -30.73488,37.78105 M -27.67621,34.33509 L -27.38819,34.7315 M 9.50999,18.81982 L 13.34208,12.96192 M 16.70843,7.33937 L 10.35549,-5.23281 M -26.28204,27.74749 L -32.75417,32.44977 M 16.70843,7.33937 L 19.86547,13.58701 M -29.07564,27.30503 L -30.12736,28.06915 M -29.07564,27.30503 L -26.13671,31.35011 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 5\n(B) 8, 1, 4, 6 and 7\n(C) 5, 8 and 4\n(D) 8 and 7\n(E) only 2\n(F) 8 and 4\n(G) 5, 1 and 7\n(H) only 10\n(I) 2, 5 and 8\n(J) none of the above\n(K) 2, 5, 8 and 7\n(L) 5, 8 and 9\n(M) 2, 5, 4 and 10\n(N) only 8\n(O) 2, 5, 8, 6 and 10\n(P) 2, 5 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "7cb302e48c7f98110475fd009064b5fbcbc13429851434eb79b73c21ef96bce7",
    "id": "bbeh:geometric_shapes:118",
    "request": "Suppose we draw this SVG path element: M -19.6652,44.06112 L -13.60302,47.56112 M -17.7011,48.6592 L -18.83507,52.6233 M -15.23699,52.39125 L -15.6468,52.50106 M -14.06712,40.36497 L -14.43315,38.99894 M -18.92507,41.3592 L -19.03122,40.96305 M 11.25833,20.62023 L 2.38421,35.99065 M -16.44955,53.11146 L -15.73699,53.25727 M -18.6652,42.32907 L -14.33507,44.82907 M 0.0,14.12023 L -3.06294,14.12023 L -12.25176,14.12023 M 0.0,14.12023 L -8.87412,29.49065 M -21.12588,29.49065 L -18.19742,24.41841 M -12.25176,0.0 L -6.12588,10.61034 M -18.6652,42.32907 L -18.92507,41.3592 M -14.56712,41.231 L -17.7011,48.6592 M -8.87412,29.49065 L 0.0,14.12023 M -18.83507,52.6233 L -16.44955,53.11146 M 0.0,14.12023 L 11.25833,20.62023 M -6.12588,10.61034 L 0.0,0.0 M -18.19742,24.41841 L -12.25176,14.12023 M 8.95636,5.65114 L 11.94181,7.53485 M -15.6468,52.50106 L -15.92001,52.57426 M -12.25176,14.12023 L 0.0,14.12023 M -12.25176,14.12023 L -12.25176,0.0 M -8.87412,29.49065 L -21.12588,29.49065 M 0.0,0.0 L 0.0,14.12023 M 0.0,0.0 L 8.95636,5.65114 M -13.96905,46.1951 L -14.96905,47.92715 M -15.93315,41.59702 L -19.93315,48.52522 M 2.38421,35.99065 L -8.87412,29.49065 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 5, 6 and 8\n(B) 1, 6, 8, 4 and 7\n(C) 5 and 6\n(D) 6 and 8\n(E) 1, 5, 6 and 9\n(F) 6 and 3\n(G) none of the above\n(H) 6, 8 and 2\n(I) 8 and 4\n(J) 1 and 5\n(K) 1, 5, 6, 2 and 4\n(L) 1, 8 and 7\n(M) 1, 6, 8 and 9\n(N) 5, 6 and 4\n(O) 1, 8 and 2\n(P) 1, 6, 8, 3 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "633457a0bfee7556208be000d4fbdcc4de924401e7d08e231fd6050962a83dc3",
    "id": "bbeh:geometric_shapes:127",
    "request": "Suppose we draw this SVG path element: M 0.0,11.46677 L 10.23421,11.46677 M 5.11711,8.86309 L 0.0,0.0 M -28.91985,8.01417 L -36.88007,9.29276 M -37.70497,14.32461 L -38.22211,13.84236 M 0.0,8.71475 L 0.0,11.46677 M -32.92614,7.90392 L -32.74291,13.15072 M -30.85406,9.93284 L -30.81393,11.08214 M -39.80845,11.39624 L -38.70436,14.35951 M -7.68702,6.786 L -13.22675,11.21812 M -30.98843,6.08519 L -30.85406,9.93284 M -35.84578,10.25725 L -39.80845,11.39624 M -5.53972,15.89889 L 0.0,11.46677 M -13.22675,11.21812 L -5.53972,15.89889 M 10.23421,0.0 L 5.11711,8.86309 M -1.31297,21.18192 L 4.22675,16.7498 M 0.0,0.0 L 0.0,8.71475 M 4.22675,16.7498 L 0.0,11.46677 M -27.88556,8.97866 L -29.71641,9.27274 M 10.23421,11.46677 L 4.22675,16.7498 M 10.23421,11.46677 L 10.23421,0.0 M 0.0,11.46677 L -5.53972,15.89889 M 0.0,11.46677 L -7.68702,6.786 M -33.7772,12.18623 L -33.7423,13.18562 M -29.71641,9.27274 L -35.84578,10.25725 M -32.33808,12.13597 L -33.7772,12.18623 M -31.77842,12.11643 L -32.33808,12.13597 M -5.53972,15.89889 L -1.31297,21.18192 M -30.98843,6.08519 L -32.28764,6.13056 M -32.98721,6.15499 L -32.92614,7.90392 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 8\n(B) only 1\n(C) 1, 3 and 10\n(D) 1, 3, 5 and 8\n(E) 5 and 9\n(F) 3 and 5\n(G) 1, 7 and 10\n(H) 1 and 5\n(I) only 5\n(J) only 10\n(K) 1, 3, 8 and 2\n(L) 1, 5, 8 and 2\n(M) 1, 5, 8 and 7\n(N) 1 and 3\n(O) 8 and 6\n(P) 1, 3 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "617dffdca32c880523802c57b1541dfc46e05526b6629a5336254f1209d8cb11",
    "id": "bbeh:geometric_shapes:133",
    "request": "Suppose we draw this SVG path element: M -6.66667,-37.9137 L -2.06667,-24.17325 M 12.0,0.0 L 6.0,-10.3923 M 0.0,-26.28 L -0.0,-30.0 M 12.0,-23.76 L 12.0,-18.0 M -27.52601,23.22704 L -26.58049,22.90147 M -0.0,-30.0 L 12.0,-30.0 M -22.56641,13.05834 L -23.79558,13.48158 M -29.44824,20.71605 L -27.52601,23.22704 M -2.06667,-24.17325 L 0.0,-18.0 M -22.56641,13.05834 L -20.93857,17.78593 M 7.08,-18.0 L 0.0,-18.0 M 6.0,-10.3923 L 0.0,0.0 M 12.0,-18.0 L 7.08,-18.0 M -18.42758,15.86371 L -23.69874,15.60578 M -18.42758,15.86371 L -17.80763,14.59262 M 12.0,-30.0 L 12.0,-23.76 M 0.0,0.0 L -6.66667,-19.9137 M -24.45745,13.70948 L -22.86216,18.34252 M 0.0,0.0 L 0.0,-10.62 M -23.44956,19.70816 L -23.22166,20.37002 L -23.12399,20.65368 M -20.02424,14.29824 L -27.58839,16.90279 M 0.0,-18.0 L 0.0,0.0 M -29.18504,15.33732 L -29.44824,20.71605 M -22.86216,18.34252 L -22.17847,20.32811 M 0.0,-18.0 L 0.0,-26.28 M 0.0,-18.0 L 12.0,-18.0 M -6.66667,-19.9137 L -6.66667,-27.4737 M -23.69874,15.60578 L -29.18504,15.33732 M -6.66667,-27.4737 L -6.66667,-37.9137 M 0.0,-10.62 L 0.0,-18.0 M 12.0,-18.0 L 12.0,0.0 M 0.0,0.0 L 4.94868,14.78198 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 8 and 3\n(B) 2, 4 and 8\n(C) only 2\n(D) 4, 5 and 10\n(E) 2 and 7\n(F) 2, 4, 8, 1 and 10\n(G) 4, 5 and 6\n(H) 2, 4 and 5\n(I) 2 and 4\n(J) 2, 4, 5 and 8\n(K) 5, 1 and 7\n(L) 4 and 5\n(M) 2 and 5\n(N) 2, 5 and 9\n(O) 2, 4 and 10\n(P) none of the above\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "70419fce27e007dd28885162ea9b2b29b20928ad44c60027735eb767312bad49",
    "id": "bbeh:geometric_shapes:134",
    "request": "Suppose we draw this SVG path element: M -1.28558,25.0148 L -1.53898,24.35466 M 3.6,-11.33618 L 0.0,-8.16128 M -3.51941,25.11487 L -6.7733,32.42324 M 15.0,-21.39004 L 3.6,-11.33618 M 15.0,-27.39004 L 15.0,-21.39004 M -12.0,2.42172 L 0.0,0.0 M 0.0,16.37505 L 1.88206,12.06522 M -6.15997,26.12849 L -6.66678,24.80821 M -2.10805,35.93431 L -2.35891,36.03061 M 0.0,-8.16128 L -20.0,-8.16128 M -5.25287,36.38408 L -3.33297,36.57115 M -20.0,-8.16128 L -20.0,-14.16128 M 0.0,0.0 L 0.0,-8.16128 M 0.0,-14.16128 L 15.0,-27.39004 M -20.0,-14.16128 L 0.0,-14.16128 M 1.88206,12.06522 L 7.8419,-1.58258 M 0.0,0.0 L 0.0,3.93001 M -1.53898,24.35466 L -1.79239,23.69452 M 0.0,-8.16128 L 0.0,-14.16128 M 0.0,-8.16128 L -12.0,2.42172 M -6.97345,27.95558 L -0.57863,30.80274 M -1.69876,35.7772 L -2.10805,35.93431 M -3.33297,36.57115 L -2.1055,36.69075 M 0.0,3.93001 L 0.0,16.37505 M -1.95217,35.11706 L -2.18808,35.64692 M 7.8419,-1.58258 L 0.0,0.0 M -1.28558,25.0148 L -9.00713,32.52331 M -6.15997,26.12849 L -1.59224,28.16217 M 0.0,-14.16128 L 0.0,-8.16128 M -2.18808,35.64692 L -2.35891,36.03061 M -9.00713,32.52331 L -5.25287,36.38408 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 4 and 5\n(B) only 4\n(C) 4 and 5\n(D) 4 and 2\n(E) 1, 3, 4 and 5\n(F) 3 and 5\n(G) 1, 3, 4, 5 and 10\n(H) 1, 3 and 5\n(I) 1, 5, 8 and 9\n(J) 4, 5 and 8\n(K) 3, 4, 5, 7 and 8\n(L) 3 and 4\n(M) 1, 5 and 2\n(N) 3, 4, 5, 7 and 10\n(O) 1, 3 and 2\n(P) 3, 4 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "4b34cee12499c7192a86953a251623719800595dc27e2d550060dbd452989d9d",
    "id": "bbeh:geometric_shapes:135",
    "request": "Suppose we draw this SVG path element: M 6.33333,37.55996 L 0.0,18.0 M -1.19427,53.31157 L -0.97588,57.42888 M -0.64942,45.26774 L -1.19427,53.31157 M -0.69586,43.93438 L -1.24943,43.11368 M -1.82186,46.05856 L -2.3667,54.10238 M 2.08682,56.21599 L 1.7644,56.43347 M 0.0,7.92 L 0.0,0.0 M 2.15981,57.01968 L 2.35062,56.03806 M 0.0,18.0 L 0.0,7.92 M -4.16673,47.64019 L 0.7414,48.59424 M -16.92399,-13.02557 L -20.58351,-8.27079 M 0.0,0.0 L 9.12399,7.02229 M 1.1506,51.72993 L 2.13223,51.92074 M -0.45861,44.28611 L -0.69586,43.93438 M -4.54835,49.60345 L -1.45622,50.2045 M -20.58351,-8.27079 L -3.65952,4.75478 M 2.35062,56.03806 L 2.08682,56.21599 M -0.97588,57.42888 L 2.15981,57.01968 M 9.12399,7.02229 L 16.29284,12.5398 M -1.45622,50.2045 L 2.32304,50.93911 M 0.0,0.0 L -16.92399,-13.02557 M 0.0,0.0 L 6.33333,19.55996 L 6.33333,37.55996 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 5\n(B) only 9\n(C) 5 and 10\n(D) none of the above\n(E) 5 and 6\n(F) 5 and 8\n(G) 5 and 3\n(H) 3 and 8\n(I) 6 and 9\n(J) 5 and 1\n(K) 5 and 2\n(L) 5 and 4\n(M) only 1\n(N) 3, 4 and 7\n(O) 1 and 10\n(P) 5, 1 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "8980d3b1b1d65320bb024ea8d659b5af23fef15b4c4d191316b6c378e2471197",
    "id": "bbeh:geometric_shapes:140",
    "request": "Suppose we draw this SVG path element: M 6.77095,-16.94299 L -1.31702,-20.95866 M -45.43909,31.23771 L -45.23982,31.70717 M -48.07476,33.98603 L -48.99527,34.37676 M -48.33965,34.64165 L -48.99527,34.37676 M 36.60582,2.69513 L 37.80101,4.49433 M 5.97595,16.796 L 12.4499,18.74167 M 29.94212,7.12176 L 34.36875,13.78547 M 21.60069,-5.43515 L 17.49222,-11.6199 M 9.08843,13.68142 L 0.0,0.0 L 0.0,15.0 M 37.80101,4.49433 L 41.03245,9.35884 M -1.31702,-20.95866 L 0.0,0.0 M -51.35285,32.6616 L -50.3065,33.84699 M 20.43415,18.23994 L 12.4499,18.74167 M 34.36875,13.78547 L 16.87653,25.40537 M 29.94212,7.12176 L 21.60069,-5.43515 M 39.23325,10.55403 L 34.36875,13.78547 M 12.4499,18.74167 L 9.08843,13.68142 M 0.0,15.0 L 5.97595,16.796 M 0.0,0.0 L 12.4499,18.74167 L 29.94212,7.12176 M 16.87653,25.40537 L 20.43415,18.23994 M 29.94212,7.12176 L 31.47477,6.10364 M -45.02196,24.54249 L -43.06831,29.14502 M -42.39949,25.60204 L -44.28228,26.69455 M -45.23982,31.70717 L -45.04836,32.15822 M -46.86297,25.32395 L -44.12785,31.76749 M -43.59808,30.45625 L -45.43909,31.23771 M 17.49222,-11.6199 L 6.77095,-16.94299 M 34.36875,13.78547 L 29.94212,7.12176 M -44.28228,26.69455 L -49.3728,29.64839 M -45.02196,24.54249 L -44.49219,23.23126 M 31.47477,6.10364 L 36.60582,2.69513 M -50.3065,33.84699 L -49.26015,35.03238 M -40.69752,27.05232 L -50.54499,26.88688 M 41.03245,9.35884 L 39.23325,10.55403 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2, 7 and 4\n(B) 7 and 8\n(C) 3, 7 and 8\n(D) only 7\n(E) 7, 8 and 6\n(F) 3, 7, 8 and 5\n(G) 8, 6 and 9\n(H) 2, 8 and 9\n(I) 2, 8 and 5\n(J) 2, 3, 7 and 8\n(K) 7, 8 and 4\n(L) 3, 7, 8 and 1\n(M) 2, 7, 8 and 9\n(N) 7 and 1\n(O) 3, 7 and 6\n(P) 2 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "54b2b720fa891cbf85601e46290baa2950e48288a346dfcfad95695f940f8cb9",
    "id": "bbeh:geometric_shapes:142",
    "request": "Suppose we draw this SVG path element: M 0.0,6.13146 L 0.0,0.0 M 14.13191,6.80696 L 20.34191,10.3923 M -34.06858,6.79232 L -33.8069,11.78547 M -16.42553,-5.15822 L -23.98803,2.8298 M -35.92296,9.62325 L -35.69948,13.8874 M -30.86334,10.62983 L -40.06035,7.10634 M -8.4375,2.40428 L -11.68938,5.83913 M -40.06035,7.10634 L -42.79456,12.25649 M -34.06858,6.79232 L -34.34121,6.80661 M -16.0,10.3923 L -8.4375,2.40428 M -3.79688,6.79769 L -8.4375,2.40428 M -11.68938,5.83913 L -16.0,10.3923 M -34.82386,9.19514 L -39.90335,10.10222 M 20.34191,-0.0 L 11.34191,5.19615 M 0.0,0.0 L 20.34191,-0.0 M -30.29557,9.99925 L -29.91705,9.57886 M 0.0,10.3923 L 0.0,6.13146 M -16.0,10.3923 L 0.0,10.3923 M -40.16715,14.62223 L -41.16578,14.67456 M 0.0,10.3923 L 20.34191,10.3923 M -36.06584,6.89699 L -35.92296,9.62325 M 0.0,10.3923 L -3.79688,6.79769 M -8.4375,2.40428 L -16.42553,-5.15822 M -36.75045,12.94111 L -36.69811,13.93973 M 11.34191,5.19615 L 14.13191,6.80696 M -31.96665,8.68491 L -34.82386,9.19514 M -23.98803,2.8298 L -16.0,10.3923 M -34.34121,6.80661 L -35.3668,6.86036 M 20.34191,10.3923 L 0.0,10.3923 M -30.86334,10.62983 L -30.29557,9.99925 M -40.6403,15.14771 L -41.16578,14.67456 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 8\n(B) 3, 4 and 8\n(C) 2 and 4\n(D) 4 and 8\n(E) 2, 3, 4 and 8\n(F) 2 and 8\n(G) 2, 4 and 1\n(H) 2 and 9\n(I) only 2\n(J) 2, 4 and 5\n(K) 2, 3, 4, 8 and 6\n(L) 2, 8 and 5\n(M) 2, 8 and 9\n(N) only 3\n(O) 3 and 4\n(P) only 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "f298a8c85d39d42155719c5b433c5275cbb6c894c220e557c8494c30bdfe2992",
    "id": "bbeh:geometric_shapes:143",
    "request": "Suppose we draw this SVG path element: M 4.5,4.71833 L 4.5,16.71833 M -11.9139,26.60454 L -6.11064,30.51889 M 0.0,0.0 L 4.5,4.71833 M -10.79551,24.94646 L -6.65032,27.74243 M -11.59203,28.63097 L -14.70986,30.74973 M -5.66719,-10.37571 L 3.65569,-19.26719 M -7.49887,30.78873 L -6.91025,31.18576 L -6.66983,31.34793 M 6.76331,-22.23101 L 12.43049,-11.8553 M -6.38048,29.13066 L -7.49887,30.78873 M -8.63676,36.05231 L -8.07756,35.22327 M -7.08016,-9.60395 L -11.81053,-7.02023 M 4.5,16.71833 L 0.0,12.0 M -14.70986,30.74973 L -11.68306,35.20377 M 4.5,4.71833 L 12.43049,-11.8553 M 0.0,12.0 L 0.0,8.16 M -8.01905,24.40677 L -8.57824,25.23581 M -10.79551,24.94646 L -11.02813,25.29134 M -10.79551,24.94646 L -11.06536,23.55823 M 0.0,0.0 L -5.66719,-10.37571 L -7.08016,-9.60395 M 3.65569,-19.26719 L 6.76331,-22.23101 M -11.02813,25.29134 L -11.52246,26.02421 M -8.24021,-0.48353 L -6.14335,3.35548 M 12.43049,-11.8553 L 0.0,0.0 M -5.80178,24.69612 L -11.59203,28.63097 M 0.0,8.16 L 0.0,0.0 M -11.81053,-7.02023 L -8.24021,-0.48353 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 1\n(B) 5 and 3\n(C) 4 and 3\n(D) only 4\n(E) 5 and 10\n(F) 1, 3 and 7\n(G) only 5\n(H) 4, 5 and 6\n(I) 4 and 5\n(J) 4, 2 and 3\n(K) 4, 3 and 10\n(L) 4, 5 and 1\n(M) 3 and 6\n(N) only 9\n(O) 4 and 1\n(P) 5 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "a48c09181d5600554d2ab05e4b95973583de8b9b445ec82288f000b717bcee8b",
    "id": "bbeh:geometric_shapes:156",
    "request": "Suppose we draw this SVG path element: M 7.50837,42.87183 L 7.35752,42.71007 M 5.33509,47.79899 L 3.16181,52.72614 M 10.0,-13.04126 L 10.0,-10.2954 M 11.81032,13.58368 L 11.81032,35.58368 M 4.43104,53.28598 L 5.14907,53.60269 M 10.0,-17.14602 L 10.0,-14.92945 M 3.16181,52.72614 L 3.85989,53.03405 M 10.33757,11.8898 L 11.81032,13.58368 M 10.0,-14.92945 L 10.0,-13.04126 M 10.06047,54.31787 L 11.12204,54.00473 M 0.0,22.0 L 0.0,0.0 M 0.0,-5.67876 L 0.0,-7.88717 M 5.4283,53.72585 L 6.38614,54.14834 M 6.73188,7.7427 L 10.33757,11.8898 M 3.40611,45.73041 L 8.40306,45.90491 M 7.50837,42.87183 L 5.33509,47.79899 M 7.3,-17.14602 L 8.677,-17.14602 M -2.53423,-2.91476 L -3.56934,-4.10529 M -5.24903,-6.03719 L -5.24903,-23.18321 M 7.35752,42.71007 L 6.85252,42.16851 M 11.81032,35.58368 L 4.96033,27.70515 M 6.85252,42.16851 L 6.54388,41.83754 M 9.36755,46.9392 L 9.34312,47.63877 M 10.66763,52.69048 L 10.65864,52.94792 M 3.07818,45.37875 L 2.72171,44.99648 M 6.1346,47.82691 L 7.43581,47.87235 M 10.67469,52.4882 L 10.66763,52.69048 M 6.38614,54.14834 L 8.08897,54.89942 M 2.33454,-17.14602 L 2.993,-17.14602 L 7.3,-17.14602 M -4.63325,-5.32896 L -5.24903,-6.03719 M 3.33631,47.72919 L 6.1346,47.82691 M 0.0,0.0 L 3.63522,4.18106 M -3.93887,-4.53031 L -4.63325,-5.32896 M 4.96033,27.70515 L 0.0,22.0 M 7.43581,47.87235 L 10.33204,47.97349 M 2.72171,44.99648 L 2.44162,44.69612 M 3.85989,53.03405 L 4.43104,53.28598 M 5.14907,53.60269 L 5.4283,53.72585 M 0.0,0.0 L 0.0,-4.03192 M 0.0,-5.11883 L 0.0,-5.67876 M 3.63522,4.18106 L 6.73188,7.7427 M 0.0,-4.03192 L 0.0,-5.11883 M 10.65864,52.94792 L 10.63979,53.48759 M 0.0,-17.14602 L 0.0,0.0 M 10.0,-6.34403 L 10.0,0.0 M 8.08897,54.89942 L 10.06047,54.31787 M 0.0,-11.12777 L 0.0,-17.14602 M 5.25356,50.13356 L 5.19549,51.79655 M -5.24903,-23.18321 L 0.0,-17.14602 M 0.0,0.0 L -2.53423,-2.91476 M 5.47469,43.80143 L 5.37697,46.59972 M 0.0,-17.14602 L 2.33454,-17.14602 M -3.56934,-4.10529 L -3.93887,-4.53031 M 9.34312,47.63877 L 9.29775,48.93798 M 10.0,-10.2954 L 10.0,-6.34403 M 5.37697,46.59972 L 5.25356,50.13356 M 8.677,-17.14602 L 10.0,-17.14602 M 3.40611,45.73041 L 3.07818,45.37875 M 0.0,-7.88717 L 0.0,-11.12777 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) 1, 9 and 10\n(C) 5, 7 and 8\n(D) 4, 5, 3 and 9\n(E) only 5\n(F) 4 and 5\n(G) 4, 5 and 1\n(H) none of the above\n(I) 4 and 7\n(J) 4 and 1\n(K) 4, 5, 3, 6 and 7\n(L) 4, 5 and 3\n(M) only 2\n(N) 5 and 3\n(O) 4, 5 and 9\n(P) 4, 5, 7 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "07fbe73c760b8a2b9e83e48694206f3f847211ea3df641848e70be7668a02550",
    "id": "bbeh:geometric_shapes:158",
    "request": "Suppose we draw this SVG path element: M 0.0,6.9282 L 8.02761,14.95582 M 0.0,0.0 L 10.03785,0.0 M -16.4745,55.64191 L -16.70643,55.121 M 14.99401,9.21607 L 14.42204,8.6441 M 0.37133,9.03411 L 0.0,6.9282 M 7.49662,6.9282 L 3.74831,6.9282 M -14.55873,58.2411 L -18.72999,62.74543 M 3.12567,24.65474 L 1.94542,17.9612 M -12.33618,52.76733 L -12.56241,52.2592 M 10.03785,0.0 L 12.70614,0.0 M -11.41199,54.84309 L -14.55873,58.2411 M 12.70614,6.9282 L 7.49662,6.9282 M 16.71995,10.94201 L 14.99401,9.21607 M 17.88395,12.10601 L 16.71995,10.94201 M -16.73619,55.05415 L -16.79662,54.91842 M -11.69503,61.16131 L -11.48964,61.24015 M -16.35929,64.94083 L -14.77882,66.40443 M -11.43694,66.06982 L -11.39023,65.94814 M 1.94542,17.9612 L 1.12524,13.30975 M -11.48964,61.24015 L -10.76145,61.51968 M -12.16552,53.15065 L -12.33618,52.76733 M 12.70614,0.0 L 10.48614,1.28172 M -16.70643,55.121 L -16.73619,55.05415 M 10.48614,1.28172 L 6.70614,3.4641 M 3.74831,6.9282 L 0.0,6.9282 M 6.70614,3.4641 L 8.62614,4.57261 M -11.39023,65.94814 L -11.37021,65.89599 M -16.22141,56.21036 L -16.4745,55.64191 M -11.26134,65.61237 L -11.90732,65.89998 M 1.12524,13.30975 L 0.37133,9.03411 M -11.61971,66.54595 L -11.4936,66.21742 M -11.37021,65.89599 L -11.26134,65.61237 M -16.22141,56.21036 L -11.55351,58.0022 M 18.16551,12.38757 L 17.88395,12.10601 M 0.0,6.9282 L 0.0,3.53338 M 20.73376,14.95582 L 18.6249,12.84696 M 0.0,3.53338 L 0.0,0.0 M -13.63752,55.05994 L -14.29692,56.77773 M -18.72999,62.74543 L -16.35929,64.94083 M -11.4936,66.21742 L -11.43694,66.06982 M 14.42204,8.6441 L 12.70614,6.9282 M 17.43016,14.95582 L 20.73376,14.95582 M 8.02761,14.95582 L 3.12567,24.65474 L 7.29322,48.29013 M -16.93815,58.07753 L -10.40309,60.5861 M -12.07814,53.34689 L -12.16552,53.15065 M -11.9872,53.55115 L -12.07814,53.34689 M 8.02761,14.95582 L 17.43016,14.95582 M -14.29692,56.77773 L -16.50446,62.52858 M 18.6249,12.84696 L 18.16551,12.38757 M 8.62614,4.57261 L 12.70614,6.9282 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 8\n(B) 5, 1 and 6\n(C) 3 and 4\n(D) 8, 1, 6 and 10\n(E) 3, 4, 5 and 8\n(F) only 4\n(G) 4, 5 and 10\n(H) 3, 4, 5, 8 and 1\n(I) 3, 5 and 6\n(J) 5 and 9\n(K) 5 and 8\n(L) 4 and 8\n(M) 3, 4, 5 and 2\n(N) 3, 5, 8 and 1\n(O) 3 and 8\n(P) only 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "5fb39da6e35d623a3de7785c60b830982f4cda4a5cf46ec3e19cced173cb8210",
    "id": "bbeh:geometric_shapes:168",
    "request": "Suppose we draw this SVG path element: M -25.07235,43.13209 L -24.84732,43.32092 M -24.499,47.52942 L -24.33353,47.66826 M -32.26699,46.23293 L -31.80387,47.09671 M -3.24628,8.95663 L -5.09666,8.95663 M -27.93801,44.18529 L -30.09212,46.75246 M 12.34075,19.60237 L 10.14295,18.42605 M -5.09666,8.95663 L -7.5495,8.95663 M -26.66695,51.42144 L -26.84305,51.43685 M 20.66361,24.05697 L 12.34075,19.60237 M 30.50413,35.38789 L 29.05665,33.72118 M -28.7133,42.68779 L -28.20367,43.11542 M -26.44109,42.40132 L -27.93801,44.18529 M -30.94378,48.70086 L -29.72235,50.97895 M -24.74177,46.02031 L -23.69075,46.90222 M 0.0,0.0 L 6.10991,-0.92863 M 19.67117,31.60713 L 27.14765,35.60872 M -25.31614,42.92753 L -25.07235,43.13209 M -22.85506,40.22789 L -22.8591,40.18174 M -22.77494,41.14363 L -22.80939,40.74986 L -22.85506,40.22789 M -28.14351,41.31875 L -28.60311,41.86647 M -31.35662,47.93087 L -30.94378,48.70086 M 31.5898,37.98627 L 33.16511,38.82941 M 0.0,0.14859 L 0.0,0.55035 M -1.23976,8.95663 L -2.17501,8.95663 M 33.16511,38.82941 L 33.77773,39.1573 M -22.86541,40.10955 L -22.87721,39.97464 M -22.8591,40.18174 L -22.86541,40.10955 M 7.75693,-1.17896 L 8.85494,-1.34584 M -7.5495,8.95663 L 6.55706,16.5068 L 0.0,8.95663 M 6.55706,16.5068 L 19.67117,31.60713 M -2.17501,8.95663 L -3.24628,8.95663 M -31.80387,47.09671 L -31.35662,47.93087 M -24.86339,45.91826 L -24.74177,46.02031 M -27.80134,40.4836 L -27.81802,40.29299 M -24.94982,40.6241 L -25.90423,41.76152 M 0.0,0.0 L 0.0,0.14859 M -24.84732,43.32092 L -23.93726,44.08455 M 29.41315,36.82127 L 31.5898,37.98627 M -22.87721,39.97464 L -22.8982,39.7348 M 0.0,1.61459 L 0.0,1.97046 M 0.0,4.55534 L 0.0,8.95663 M 31.0395,36.00435 L 30.50413,35.38789 M 27.14765,35.60872 L 29.41315,36.82127 M -7.5495,1.97046 L -7.5495,0.0 M 33.77773,39.1573 L 31.0395,36.00435 M -27.81802,40.29299 L -27.89074,39.46178 M 0.0,0.55035 L 0.0,1.12316 M -25.90423,41.76152 L -26.44109,42.40132 M -26.13864,51.37523 L -26.66695,51.42144 M -27.76748,40.87061 L -28.14351,41.31875 M 29.05665,33.72118 L 20.66361,24.05697 M 0.0,8.95663 L -1.23976,8.95663 M -28.79144,42.62222 L -28.7133,42.68779 M -27.76748,40.87061 L -27.80134,40.4836 M 6.10991,-0.92863 L 6.6699,-1.01374 M -25.1922,45.64235 L -24.86339,45.91826 M 6.6699,-1.01374 L 7.75693,-1.17896 M -22.77494,41.14363 L -32.26699,46.23293 M -27.76748,40.87061 L -25.31614,42.92753 M 0.0,1.12316 L 0.0,1.61459 M -24.7472,47.32115 L -24.499,47.52942 M 0.0,1.97046 L 0.0,4.55534 M -29.05306,42.4027 L -28.79144,42.62222 M 10.14295,18.42605 L 6.55706,16.5068 M -25.09958,47.02547 L -24.7472,47.32115 M -28.20367,43.11542 L -25.1922,45.64235 M -7.5495,8.95663 L -7.5495,1.97046 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) 3, 4 and 5\n(C) 5 and 6\n(D) only 5\n(E) 3 and 4\n(F) 4 and 5\n(G) 4, 5, 2 and 6\n(H) 5 and 1\n(I) 4, 5 and 10\n(J) 3, 4 and 1\n(K) 3, 4, 5 and 6\n(L) 5 and 7\n(M) 3 and 5\n(N) 3 and 2\n(O) 4, 7 and 10\n(P) only 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "1dbac5ed745a77356d44cf2cab57c9c7cdccca65aca35db07a65a27cfb32edee",
    "id": "bbeh:geometric_shapes:176",
    "request": "Suppose we draw this SVG path element: M -1.06468,56.04601 L -0.56622,56.00735 M 24.3598,9.50668 L 25.89292,8.1874 M -0.49765,55.14121 L -0.59977,55.20257 M -0.68849,54.43094 L -0.76978,54.75696 M 30.79949,3.96519 L 31.20515,3.61611 M -2.13096,56.12871 L -1.54359,56.08315 M 21.17981,14.69698 L 22.40855,11.18577 M -4.20268,23.00948 L -2.29095,17.54657 M 15.9454,1.10668 L 14.98908,0.77202 M -3.71875,49.03766 L -2.66598,49.30014 M 31.20515,3.61611 L 31.70096,3.18946 M -2.29095,17.54657 L -1.80985,16.17179 M 36.48067,6.99209 L 26.32214,15.73371 M 9.62558,22.18577 L -4.87437,24.92888 M -4.45132,48.855 L -4.93386,52.85714 M 29.51951,5.06664 L 30.79949,3.96519 M 26.32214,15.73371 L 22.54906,16.4475 M -0.76978,54.75696 L -0.82397,54.97431 L -0.88571,55.22193 M 12.82132,19.43577 L 10.96779,21.03077 M 10.48459,21.44657 L 9.62558,22.18577 M 0.0,3.96 L 0.0,9.592 M 31.70096,3.18946 L 32.56707,2.44415 M 0.0,9.592 L 0.0,11.0 M -6.51187,50.42309 L -7.84474,52.13138 M 0.0,2.80051 L 0.0,3.96 M 12.78297,0.0 L 0.0,0.0 M -5.59272,46.50919 L -3.96747,46.91441 M 32.56707,2.44415 L 36.48067,6.99209 M -2.73138,45.57775 L -6.51187,50.42309 M 25.43269,4.42673 L 15.9454,1.10668 M 25.89292,8.1874 L 29.51951,5.06664 M -1.78626,44.36641 L -2.73138,45.57775 M 0.59272,10.48995 L 0.85902,10.2608 M 12.78297,0.0 L 17.14914,5.07387 M -4.87437,24.92888 L -4.20268,23.00948 M 0.0,1.48262 L 0.0,2.0592 M 18.84709,7.04704 L 20.0936,8.4956 M 10.96779,21.03077 L 10.48459,21.44657 M -3.96747,46.91441 L -1.54173,47.51921 M 22.40855,11.18577 L 12.82132,19.43577 M 6.52443,5.3856 L 12.78297,0.0 M -1.2972,50.67202 L -1.19328,50.69793 L -1.09344,50.72283 M 22.40855,11.18577 L 24.3598,9.50668 M -0.88571,55.22193 L -0.93041,55.40124 M -3.07548,42.22078 L -3.24301,41.94197 M 0.0,0.0 L 0.0,1.48262 M 14.42743,0.57547 L 13.73676,0.33377 M 0.85902,10.2608 L 4.09055,7.48 M 0.0,11.0 L 0.59272,10.48995 M -0.63948,55.22643 L -0.85477,55.35579 M -2.51464,43.15419 L -3.07548,42.22078 M 4.09055,7.48 L 6.52443,5.3856 M -6.87706,48.2502 L -3.71875,49.03766 M 32.56707,2.44415 L 22.94149,-8.74162 M 17.14914,5.07387 L 18.84709,7.04704 M -0.59977,55.20257 L -0.63948,55.22643 M -0.85477,55.35579 L -0.87897,55.37033 M -1.80985,16.17179 L 0.0,11.0 M -1.54359,56.08315 L -1.06468,56.04601 M -0.87897,55.37033 L -0.93041,55.40124 M -1.09344,50.72283 L -0.32691,50.91395 M -3.71903,56.25188 L -2.13096,56.12871 M 20.42671,16.84901 L 21.17981,14.69698 M -2.66598,49.30014 L -0.08499,49.94365 M 14.98908,0.77202 L 14.42743,0.57547 M -0.3243,55.03705 L -0.49765,55.14121 M -6.39321,46.3096 L -5.59272,46.50919 M 0.0,2.0592 L 0.0,2.80051 M 20.0936,8.4956 L 22.40855,11.18577 M 13.73676,0.33377 L 12.78297,0.0 M 22.94149,-8.74162 L 23.76359,-4.39606 M -3.96878,44.85286 L -4.45132,48.855 M -7.84474,52.13138 L -3.71903,56.25188 M 22.54906,16.4475 L 20.42671,16.84901 M 23.76359,-4.39606 L 25.43269,4.42673 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 4\n(B) 3, 4 and 8\n(C) none of the above\n(D) 4 and 8\n(E) 3, 4, 7 and 8\n(F) 4, 8 and 6\n(G) 3, 4 and 5\n(H) 4, 7 and 8\n(I) 4, 8 and 10\n(J) 3, 1 and 2\n(K) 4, 8 and 1\n(L) 3, 7 and 2\n(M) 3, 4, 7, 5 and 10\n(N) 3, 4 and 1\n(O) 3 and 9\n(P) 1 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "6203954693e77b40c1f2e1f11577e56f1d62367046b24112067311e816fc8ba8",
    "id": "bbeh:geometric_shapes:178",
    "request": "Suppose we draw this SVG path element: M -22.6908,59.90137 L -22.77982,60.04384 M -22.99471,52.04681 L -22.60291,52.29163 M -25.95802,50.97692 L -26.29558,51.51713 M 10.27556,2.54695 L 22.93652,-1.70771 M -24.05454,53.74291 L -22.25939,54.86465 M -6.70445,13.59794 L -5.36356,12.07835 M 0.0,6.0 L 4.5873,4.45846 M -22.7949,60.06798 L -22.80208,60.07946 M -5.36356,12.07835 L 0.0,6.0 M -25.60669,50.41467 L -25.67986,50.09774 M -2.24001,23.10197 L -5.83898,22.37463 M 29.2655,17.12602 L 46.32354,11.39374 M 43.15905,1.97688 L 41.38694,-3.29656 M -22.78828,60.05738 L -22.7949,60.06798 M -21.65943,56.41873 L -21.54675,56.48914 M -25.67986,50.09774 L -25.79744,49.58844 M -22.25939,54.86465 L -20.73019,55.8202 M 22.93652,-1.70771 L 24.70863,3.56573 M -13.14599,20.89792 L -8.95899,16.15293 M 46.32354,11.39374 L 43.15905,1.97688 M -21.47279,49.46028 L -24.86409,56.77458 M -22.10816,56.13833 L -21.7011,56.39269 M -25.96129,52.55144 L -24.05454,53.74291 M -23.14327,60.62548 L -23.22072,60.74942 M 24.70863,3.56573 L 29.2655,17.12602 M -22.53174,60.59036 L -22.9658,60.69057 M -22.77982,60.04384 L -22.78828,60.05738 M -25.79744,49.58844 L -25.92482,49.0367 M -25.60669,50.41467 L -25.95802,50.97692 M 41.38694,-3.29656 L 39.99456,-7.43998 M 29.2655,17.12602 L 21.18038,19.84299 M 18.48534,20.74864 L 6.32898,24.83372 M 0.0,4.38 L 0.0,6.0 M -22.85075,49.77841 L -26.24206,57.09271 M -23.0114,60.41444 L -23.14327,60.62548 M -26.66653,52.11076 L -25.96129,52.55144 M 0.0,3.504 L 0.0,4.38 M -21.54675,56.48914 L -21.26011,56.66825 M -22.60291,52.29163 L -22.34171,52.45485 M 0.0,0.0 L 0.0,3.504 M -22.34171,52.45485 L -21.36645,53.06426 M 21.18038,19.84299 L 18.48534,20.74864 M -21.04832,54.44223 L -22.10816,56.13833 M 6.32898,24.83372 L 0.33069,23.62149 M -21.7011,56.39269 L -21.65943,56.41873 M -23.13915,60.73059 L -23.22072,60.74942 M -5.83898,22.37463 L -13.14599,20.89792 M 22.93652,-1.70771 L 0.0,0.0 M -22.80208,60.07946 L -23.0114,60.41444 M -25.60669,50.41467 L -22.99471,52.04681 M 0.33069,23.62149 L -2.24001,23.10197 M -8.95899,16.15293 L -6.70445,13.59794 M 4.5873,4.45846 L 10.27556,2.54695 M -22.9658,60.69057 L -23.13915,60.73059 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 7\n(B) 3 and 6\n(C) 3, 5 and 4\n(D) only 5\n(E) 5 and 7\n(F) 3, 5, 7 and 9\n(G) 5, 7 and 8\n(H) 3, 5 and 7\n(I) 5, 7, 8 and 10\n(J) 3, 5, 7 and 10\n(K) 3, 7 and 4\n(L) 5, 2 and 6\n(M) only 1\n(N) only 3\n(O) 5, 6 and 9\n(P) 5 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "8dadf0d4cf11f9726b1afc2080d0c02c75a222631bc37933771f16afb00f9377",
    "id": "bbeh:geometric_shapes:185",
    "request": "Suppose we draw this SVG path element: M 21.90909,22.94439 L 21.90909,23.01939 M -27.94774,22.78807 L -28.23912,22.943 M -33.10393,32.32509 L -32.48587,31.99646 M 10.90909,17.97747 L 10.90909,19.97951 M -27.97187,25.57569 L -27.71366,26.06131 M -30.45967,24.3049 L -34.44924,24.73821 M 0.0,1.86067 L 0.0,3.2479 M 0.0,0.0 L 0.0,1.86067 M 10.90909,23.38838 L 10.90909,24.91391 M -35.9511,27.60801 L -35.82299,28.78753 M 21.90909,26.70475 L 14.20909,26.70475 M -30.06101,21.64657 L -28.88734,23.85394 M 0.0,12.44041 L 0.0,17.97747 M -25.53428,23.76995 L -30.45967,24.3049 M 21.31509,17.97747 L 21.55863,17.97747 M -0.0,26.70475 L 1.20173,26.01093 M 0.0,10.03179 L 0.0,12.44041 M -27.65637,22.63315 L -27.94774,22.78807 M -30.61197,21.93952 L -31.01187,22.15216 M 10.90909,20.94475 L 10.90909,17.97747 M -35.82299,28.78753 L -35.66018,30.28656 M 10.90909,26.70475 L 4.69091,26.70475 M -33.36882,32.46593 L -33.10393,32.32509 M 1.20173,26.01093 L 2.26741,25.39566 M -28.88734,23.85394 L -28.2282,25.0936 M 0.0,17.97747 L 10.90909,17.97747 M 7.55804,22.34111 L 3.77902,20.15929 M -30.34222,21.79609 L -30.61197,21.93952 M -27.35617,22.47353 L -27.5573,22.58048 M 10.90909,5.21347 L 10.90909,1.04269 M 11.86609,26.70475 L 10.90909,26.70475 M -31.82691,22.58552 L -28.54061,28.76615 M -25.37551,23.25062 L -25.12081,22.41753 M 21.90909,17.97747 L 21.90909,22.77747 M 2.26741,25.39566 L 7.55804,22.34111 M -29.86668,21.01094 L -29.64754,20.29416 M -34.44924,24.73821 L -36.24165,24.93288 M 21.55863,17.97747 L 21.90909,17.97747 M 10.90909,24.91391 L 10.90909,26.70475 M 4.69091,26.70475 L -0.0,26.70475 M 10.90909,19.97951 L 10.90909,23.38838 M 21.90909,22.77747 L 21.90909,22.94439 M 10.90909,17.97747 L 10.90909,15.16939 M 10.90909,26.70475 L 10.90909,20.94475 M -28.2282,25.0936 L -27.97187,25.57569 M 0.0,3.2479 L 0.0,4.13482 M 21.90909,23.64147 L 21.90909,26.70475 M 21.90909,23.01939 L 21.90909,23.64147 M -25.43918,23.45889 L -25.37551,23.25062 M -25.53428,23.76995 L -25.43918,23.45889 M 0.0,4.13482 L 0.0,10.03179 M -31.01187,22.15216 L -31.20884,22.25689 M 10.90909,15.16939 L 10.90909,5.21347 M 3.77902,20.15929 L 0.0,17.97747 M 19.70909,17.97747 L 21.31509,17.97747 M 10.90909,1.04269 L 10.90909,0.0 M -32.27914,31.32025 L -33.16208,31.78972 M 14.20909,26.70475 L 11.86609,26.70475 M -30.06101,21.64657 L -29.86668,21.01094 M -30.21528,21.7286 L -30.34222,21.79609 M 10.90909,17.97747 L 19.70909,17.97747 M -27.5573,22.58048 L -27.65637,22.63315 M -36.24165,24.93288 L -36.10768,26.16637 M -30.06101,21.64657 L -30.21528,21.7286 M -36.10768,26.16637 L -35.9511,27.60801 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 5\n(B) only 8\n(C) 2 and 6\n(D) 8 and 2\n(E) only 1\n(F) 1 and 7\n(G) 1, 8 and 7\n(H) 1, 8 and 10\n(I) 2 and 4\n(J) 1 and 8\n(K) 1, 8 and 2\n(L) none of the above\n(M) 1, 8 and 9\n(N) 1, 8 and 3\n(O) 5 and 6\n(P) 8, 2, 4, 5 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "394bb373e2566b2e855fc7e1e0618fc0685cc6883f223a63909a61f975731196",
    "id": "bbeh:geometric_shapes:190",
    "request": "Suppose we draw this SVG path element: M 16.20371,38.63428 L 15.95203,38.93422 M 13.12396,42.30459 L 19.03029,53.63291 M -25.61785,68.07558 L -23.87148,68.96541 M 20.35886,52.04957 L 16.71471,38.0253 M 0.0,16.32 L 0.0,20.62771 M -24.11771,74.86728 L -24.1536,74.93772 M -23.87148,68.96541 L -22.1251,69.85523 M 0.0,21.7728 L 0.0,23.39866 M 14.24093,35.94956 L 15.5273,37.02894 M 12.26191,34.28896 L 4.34582,27.64658 M -25.9906,75.34913 L -25.0353,75.49301 M -27.65932,65.29791 L -27.71385,65.40494 M -29.12647,71.92193 L -27.08505,75.18429 M -27.45417,64.89528 L -22.99913,67.16523 M -23.86666,74.37455 L -23.9314,74.50161 M -25.0353,75.49301 L -23.95804,75.65526 M 21.8195,0.0 L 17.01921,-8.31435 M -27.71385,65.40494 L -28.04435,66.05359 M 21.8195,14.88 L 21.8195,0.0 M -23.97239,74.58206 L -24.04214,74.71897 M -24.1536,74.93772 L -24.17655,74.98276 M 15.5273,37.02894 L 16.71471,38.0253 M -29.5202,71.29271 L -29.12647,71.92193 M -25.83313,66.97825 L -26.56879,69.01327 M -23.72256,74.09175 L -23.86666,74.37455 M 18.8702,24.0 L 21.8195,24.0 M 16.71471,38.0253 L 12.26191,34.28896 M 17.21122,24.0 L 18.8702,24.0 M -30.17811,70.24132 L -29.94675,70.61105 M 15.42204,39.56584 L 14.50281,40.66134 M -24.04214,74.71897 L -24.11771,74.86728 M -2.12988,29.50509 L -3.59074,28.27928 M -27.45417,64.89528 L -27.65932,65.29791 M 14.83726,24.0 L 17.21122,24.0 M -22.7131,70.67795 L -22.57909,70.74623 M 13.12396,42.30459 L 3.47122,34.20497 M 21.8195,24.0 L 16.71471,38.0253 M 0.0,0.0 L 0.0,8.8128 M 1.39066,25.16691 L 0.0,24.0 M 0.0,20.62771 L 0.0,21.7728 M -22.86421,70.60095 L -22.7131,70.67795 M -23.63707,74.80747 L -23.79322,74.85821 M 0.0,24.0 L 5.15983,28.32961 M -24.76417,64.02125 L -25.41624,65.82502 M 14.50281,40.66134 L 13.12396,42.30459 M 0.0,8.8128 L 0.0,16.32 M 17.01921,-8.31435 L 10.90975,-18.89624 M -23.9314,74.50161 L -23.97239,74.58206 M -22.52817,64.03822 L -30.17811,70.24132 M 0.25364,31.5051 L -2.12988,29.50509 M 10.90975,-18.89624 L 0.0,0.0 M 16.71471,38.0253 L 16.20371,38.63428 M 15.95203,38.93422 L 15.42204,39.56584 M 0.0,23.39866 L 0.0,24.0 M -26.56879,69.01327 L -27.50509,71.60329 M -23.79322,74.85821 L -24.03855,74.93792 M 5.15983,28.32961 L 10.53027,32.83594 M -25.41624,65.82502 L -25.83313,66.97825 M 22.49908,60.28605 L 20.35886,52.04957 M 19.03029,53.63291 L 22.49908,60.28605 M -23.50405,74.76425 L -23.63707,74.80747 M -28.147,66.78692 L -27.59375,67.06881 M 10.53027,32.83594 L 14.24093,35.94956 M 4.34582,27.64658 L 1.39066,25.16691 M 3.47122,34.20497 L 0.25364,31.5051 M -27.08505,75.18429 L -25.9906,75.34913 M -27.59375,67.06881 L -25.61785,68.07558 M -23.03386,70.51451 L -22.86421,70.60095 M 21.8195,24.0 L 21.8195,14.88 M -28.36215,66.67729 L -28.147,66.78692 M -29.94675,70.61105 L -29.5202,71.29271 M 0.0,24.0 L 14.83726,24.0 M -24.03855,74.93792 L -24.17655,74.98276 M -23.4701,70.29224 L -23.03386,70.51451 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 7\n(B) only 3\n(C) 3 and 10\n(D) only 6\n(E) 3, 7, 6 and 10\n(F) 3 and 7\n(G) 3 and 4\n(H) 3, 2 and 5\n(I) 1 and 6\n(J) 7 and 4\n(K) 4, 6 and 8\n(L) only 5\n(M) none of the above\n(N) only 4\n(O) 3, 7, 1, 2, 6 and 9\n(P) 3 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "d06793e723d984057e1eb0e8f6f13d64971122fba0239d04581997f1f6798bbd",
    "id": "bbeh:geometric_shapes:196",
    "request": "Suppose we draw this SVG path element: M 12.87697,24.08292 L 6.73277,24.08292 M -26.01287,46.95702 L -25.59003,46.50358 M -23.58101,35.55149 L -23.65098,35.62652 M -4.18071,22.88119 L 0.0,24.08292 M 21.71862,24.08292 L 12.87697,24.08292 M -27.77171,37.11291 L -22.65223,41.88689 M -15.92699,32.62762 L -15.92699,34.08292 M -24.06558,41.93625 L -23.33423,42.61825 M -29.50798,44.32674 L -28.88893,45.64237 M -21.4363,36.18413 L -31.1817,40.76967 M 21.71862,21.14962 L 21.71862,18.42064 M 4.91113,25.49461 L 5.94651,25.79222 M -25.59003,46.50358 L -25.33087,46.22566 M -25.43739,45.60675 L -25.49195,45.66526 M -12.26378,34.08292 L -7.60354,34.08292 M 22.81673,26.01674 L 26.92624,26.01674 M 0.0,0.0 L 0.0,24.08292 M -15.92699,32.19292 L -15.92699,32.62762 M -26.6696,20.99498 L -27.20337,20.84155 M -7.60354,34.08292 L -0.0,34.08292 M -21.52962,33.51177 L -21.53501,33.35743 M -14.6815,34.08292 L -12.26378,34.08292 M -29.30708,20.23685 L -30.34323,19.93901 M 5.94651,25.79222 L 6.72758,26.01674 M 8.12626,26.01674 L 10.84213,26.01674 M -15.92699,24.08292 L -15.92699,29.28292 M 21.71862,18.42064 L 21.71862,13.96809 M -21.48566,34.77078 L -21.52465,33.65423 M -25.16441,36.8096 L -23.95768,37.93489 M 21.71862,13.96809 L 21.71862,0.0 M 11.88446,26.01674 L 12.80879,26.01674 M -15.92699,29.28292 L -15.92699,30.58292 M 21.71862,24.08292 L 21.71862,21.14962 M -26.40771,35.6502 L -25.16441,36.8096 M 26.92624,26.01674 L 28.14221,26.01674 M -23.76515,35.74895 L -24.15347,36.16538 M -6.53488,22.20449 L -4.18071,22.88119 M -15.92699,24.08292 L -19.79054,22.97235 M 13.89992,24.08292 L 21.71862,24.08292 M 6.72758,26.01674 L 7.31503,26.01674 M -21.52465,33.65423 L -21.52962,33.51177 M -31.1817,40.76967 L -29.50798,44.32674 M 0.0,24.08292 L 13.89992,24.08292 M 0.0,24.08292 L -9.93844,24.08292 M -30.34323,19.93901 L -14.41624,19.93901 M -15.2262,24.08292 L -15.92699,24.08292 M -12.74159,24.08292 L -15.2262,24.08292 M -25.35555,45.51899 L -25.43739,45.60675 M 28.14221,26.01674 L 28.4462,26.01674 M 12.80879,26.01674 L 22.81673,26.01674 M 28.4462,26.01674 L 21.71862,24.08292 M -27.20337,20.84155 L -29.30708,20.23685 M -15.92699,34.08292 L -14.6815,34.08292 M -23.65098,35.62652 L -23.76515,35.74895 M -25.58587,21.3065 L -26.6696,20.99498 M -25.49195,45.66526 L -26.03755,46.25034 M 6.73277,24.08292 L 0.0,24.08292 M -23.95768,37.93489 L -22.75094,39.06019 M 7.31503,26.01674 L 8.12626,26.01674 M -24.15347,36.16538 L -24.263,36.28284 M -9.93844,24.08292 L -12.74159,24.08292 M -15.92699,30.58292 L -15.92699,32.19292 M -26.40771,35.6502 L -26.45707,34.23685 M -19.79054,22.97235 L -25.58587,21.3065 M -14.41624,19.93901 L -6.53488,22.20449 M 10.84213,26.01674 L 11.88446,26.01674 M 0.0,24.08292 L 4.91113,25.49461 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 1 and 2\n(C) 5 and 1\n(D) 5 and 3\n(E) 3 and 9\n(F) 5 and 2\n(G) only 5\n(H) 6, 9 and 10\n(I) only 1\n(J) 5 and 4\n(K) 5, 1 and 3\n(L) 3 and 6\n(M) 5 and 6\n(N) 1 and 6\n(O) only 9\n(P) only 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "e01a0452c8a86e3231e79d548e354e88624ef57fa8912dc221912a37338e1fec",
    "id": "bbeh:geometric_shapes:198",
    "request": "Suppose we draw this SVG path element: M -2.92188,45.36466 L -1.51902,45.61202 M 1.85986,52.96741 L 2.25681,52.90854 M 5.45614,33.18285 L 5.45614,25.25724 M 5.45614,19.98669 L 5.15898,19.98669 M -3.08342,25.32734 L -2.58,24.45538 M 0.0,26.05692 L 0.0,33.18285 M 0.0,19.98669 L 0.0,26.05692 M -12.0,19.98669 L -10.77478,22.10884 M 0.0,0.0 L 0.0,19.98669 M 4.16413,19.98669 L 1.96421,19.98669 M -2.02561,50.68504 L -1.72881,50.94272 M 0.0,33.18285 L 5.45614,33.18285 M 1.88559,41.13522 L -3.61647,49.30389 M 1.96421,19.98669 L 0.49105,19.98669 M 0.0,19.98669 L 1.6914,19.98669 M -1.72881,50.94272 L -1.63508,51.02409 M -6.0,30.379 L -4.94664,28.55452 M 1.58312,46.15902 L 3.97177,46.5802 M 5.45614,19.98669 L 5.45614,6.19587 M 1.50488,40.59151 L 1.31696,40.32314 M 0.50195,43.93753 L 2.34945,44.26329 M 5.15898,19.98669 L 4.16413,19.98669 M 2.25681,52.90854 L 2.83707,52.82249 M -2.13882,23.69124 L -1.44911,22.49662 M -0.37123,45.81441 L 1.58312,46.15902 M 3.91469,52.66269 L 3.93865,52.52679 M -3.61647,49.30389 L -3.08149,49.76834 M -2.57458,43.39505 L -0.94965,43.68157 M 0.78662,53.12656 L 1.85986,52.96741 M -1.44911,22.49662 L -1.1094,21.90823 M -0.94965,43.68157 L 0.50195,43.93753 M -12.0,28.43223 L -12.0,19.98669 M 4.59025,19.98669 L 5.45614,19.98669 M -10.77478,22.10884 L -10.1982,23.1075 M 3.16061,45.42174 L 2.81332,47.39136 M 1.60168,40.72976 L 1.50488,40.59151 M -4.94664,28.55452 L -3.3666,25.81781 L -3.26182,25.63634 M -3.08149,49.76834 L -2.02561,50.68504 M 1.88559,41.13522 L 1.7919,41.00142 M -3.26182,25.63634 L -3.08342,25.32734 M -12.0,31.75766 L -12.0,28.43223 M -9.66,24.03969 L -6.0,30.379 M -1.1094,21.90823 L 0.0,19.98669 M 5.45614,6.19587 L 5.45614,0.0 M 1.15689,40.09453 L 1.07443,39.97676 M -10.1982,23.1075 L -9.66,24.03969 M 5.45614,22.88985 L 5.45614,19.98669 M 1.7919,41.00142 L 1.60168,40.72976 M 4.01888,52.07181 L 4.08834,51.67789 M 0.0,33.18285 L -12.0,33.18285 M 1.6914,19.98669 L 4.59025,19.98669 M -2.58,24.45538 L -2.13882,23.69124 M 1.31696,40.32314 L 1.15689,40.09453 M 5.45614,25.25724 L 5.45614,22.88985 M -12.0,33.18285 L -12.0,31.75766 M -1.51902,45.61202 L -0.37123,45.81441 M -2.57458,43.39505 L -3.38574,42.23659 M 0.49105,19.98669 L 0.0,19.98669 M 2.83707,52.82249 L 3.91469,52.66269 M -0.25767,41.77273 L -0.66205,49.82484 M -1.63508,51.02409 L 0.78662,53.12656 M 3.93865,52.52679 L 4.01888,52.07181 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 5\n(B) only 1\n(C) 1, 6 and 9\n(D) 1, 3 and 5\n(E) 1, 3 and 8\n(F) only 3\n(G) only 8\n(H) 1 and 8\n(I) 3 and 8\n(J) 3, 8 and 7\n(K) 1 and 3\n(L) 1, 3 and 9\n(M) 8 and 5\n(N) 1, 6 and 7\n(O) 1, 3, 8 and 2\n(P) 1, 8 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "geometric_shapes"
  },
  {
    "dataset": "bbeh",
    "family": "a8506917e55eb4976064754ec43d41929defe84a23fa4bea1ad975bca6414e9a",
    "id": "bbeh:hyperbaton:006",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) obnoxious ruler (2) paper bed (3) old wonderful plate (4) ridiculous canvas (5) ancient lovely dog (6) steel banana (7) brand-new terrible jar (8) big german umbrella (9) typing pyramidal old ring (10) glass flower pot (11) snorkeling iron fork (12) snorkeling calculator (13) mysterious wallet (14) black spoon (15) repulsive ruler (16) russian watch (17) crimson jar (18) typing house (19) hiking iron scissors (20) white chair (21) magenta triangular pen (22) big thai scissors (23) turkish speaker (24) smoking jar (25) new repulsive wrench (26) archaic knife (27) repulsive bowl (28) repulsive box (29) brown dog (30) egyptian apple (31) old bowl (32) exercise table (33) japanese ring (34) archaic good candle (35) ridiculous pencil (36) brand-new chair (37) iron ruler (38) new toolbox (39) rubber stapler (40) walking cloth car (41) brand-new awful plate (42) enormous sofa (43) typing wood table (44) small vietnamese screwdriver (45) violet candle (46) old-fashioned book (47) exercise stapler (48) ancient good cup (49) rubber ball (50) huge hammer (51) maroon triangular car key (52) ancient saw (53) wool saw (54) indigo necklace (55) enormous mexican shoe (56) aqua calculator (57) congolese flower pot (58) driving banana (59) new silly clock (60) rectangular camera (61) mysterious watch (62) big shoe (63) violet bottle (64) drinking steel plate (65) triangular watch (66) spherical bottle (67) archaic awful lamp (68) egyptian shoe (69) magenta key (70) old-fashioned awful ring (71) white hat (72) obnoxious umbrella (73) mysterious chair (74) walking cup (75) massive turkish toolbox (76) indian flower pot (77) ridiculous ruler (78) archaic table (79) wood camera (80) pink ball (81) pink triangular camera (82) plastic cup (83) circular trash can (84) walking bag (85) wood house (86) enormous indonesian chair (87) green spherical ring (88) brown pen (89) pakistani ring (90) enormous german hat (91) triangular toolbox (92) ancient terrible speaker (93) drinking wool watch (94) white watch (95) aqua pyramidal cup (96) whittling rubber necklace (97) walking wood camera (98) massive chinese bird (99) paper apple (100) ancient mysterious spoon (101) gray spherical fork (102) ridiculous watch (103) circular toolbox (104) mysterious cup (105) indigo rectangular vase (106) mysterious trash can (107) glass pencil (108) smoking wool saw (109) triangular jar (110) ancient pen (111) pink umbrella (112) pyramidal brush (113) american bottle (114) exercise wool shirt (115) old-fashioned plate (116) red bottle (117) blue camera (118) ridiculous wallet (119) iranian chair (120) bangladeshi bowl (121) archaic trash can (122) huge sofa (123) little clock (124) small egyptian sunglasses (125) typing fiberglass shoe (126) new wonderful earring (127) small iranian knife (128) hiking cup (129) ridiculous ring (130) obnoxious flower pot (131) red pyramidal house (132) smoking saw (133) nice ball (134) mexican cup (135) indigo pyramidal camera (136) rubber apple (137) triangular wallet (138) ancient camera (139) square clock (140) large turkish camera (141) russian ring (142) rectangular chair (143) archaic obnoxious umbrella (144) german marker (145) brand-new screwdriver (146) large japanese watch (147) snorkeling bicycle (148) ancient plate (149) typing fiberglass spoon (150) old-fashioned mysterious bowl (151) small turkish sofa (152) japanese bag (153) pyramidal bird (154) maroon circular knife (155) yellow speaker (156) circular drill (157) green square fork (158) drinking iron stapler (159) violet flower pot (160) filipino jar (161) blue watch (162) paper key (163) big ring (164) old terrible banana (165) cloth gray good umbrella (166) aqua hammer (167) eating piano (168) pyramidal cup (169) brand-new book (170) old-fashioned mysterious shoe (171) eating fiberglass house (172) old dog (173) crimson spherical key (174) paper car key (175) brand-new shoe (176) ridiculous calculator (177) typing hat (178) steel brush (179) repulsive hammer (180) walking wallet (181) blue circular watch (182) prismlike sunglasses (183) circular ring (184) silly bowl (185) ancient obnoxious plier (186) triangular flower pot (187) old silly book (188) hiking steel sunglasses (189) mexican scissors (190) black shirt (191) aqua prismlike bottle (192) exercise wood sunglasses (193) brown screwdriver\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) indian small gray prismlike brand-new obnoxious fiberglass drinking fork\n(B) typing iron pink circular ancient obnoxious chinese bicycle\n(C) indigo circular brand-new repulsive medium-size ethiopian watch\n(D) walking steel maroon triangular brand-new terrible big sunglasses\n(E) japanese enormous aqua circular archaic silly guitar\n(F) paper crimson prismlike old-fashioned ridiculous pakistani small camera\n(G) midsize brazilian cyan circular old lovely steel eating saw\n(H) walking cloth teal square old-fashioned obnoxious spoon\n(I) white square brand-new obnoxious indian enormous hammer\n(J) walking wood pink triangular old terrible american midsize fork\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "10ce81197056e894d70a6215392026461f827a84a7b0f9894fc000fcbab17526",
    "id": "bbeh:hyperbaton:011",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) large pencil (2) brand-new canvas (3) egyptian fire extinguisher (4) cloth pen (5) huge pyramidal apple (6) old-fashioned dog (7) huge vase (8) huge triangular trash can (9) archaic watch (10) crimson pen (11) little square bicycle (12) brand-new dog (13) wood camera (14) small pyramidal watch (15) chinese obnoxious knife (16) old-fashioned pen (17) midsize spherical cup (18) brand-new sunglasses (19) ancient driving cup (20) obnoxious knife (21) tiny spherical calculator (22) german book (23) violet paper house (24) teal flower pot (25) archaic jar (26) old-fashioned bird (27) archaic drinking flower pot (28) prismlike scissors (29) driving bottle (30) drinking drill (31) vietnamese brush (32) prismlike umbrella (33) violet plastic chair (34) egyptian repulsive chair (35) nigerian silly piano (36) small rectangular watch (37) enormous knife (38) blue table (39) triangular fork (40) medium-size mysterious old-fashioned fire extinguisher (41) mexican bicycle (42) iranian stapler (43) whittling canvas (44) little circular fork (45) old-fashioned hat (46) wood clock (47) old shoe (48) little triangular lamp (49) mysterious brush (50) red lamp (51) hiking table (52) old plate (53) archaic exercise lamp (54) nice ring (55) old house (56) new exercise necklace (57) silly piano (58) enormous circular earring (59) brazilian obnoxious apple (60) archaic whittling dog (61) pyramidal book (62) nigerian nice scissors (63) crimson iron bed (64) prismlike bicycle (65) turkish repulsive spoon (66) spherical book (67) enormous triangular toolbox (68) new typing sofa (69) large triangular pen (70) prismlike sofa (71) ancient driving box (72) red rubber stapler (73) walking sofa (74) brand-new typing knife (75) terrible chair (76) big triangular candle (77) magenta pencil (78) wonderful stapler (79) archaic wallet (80) driving saw (81) japanese nice scissors (82) old-fashioned watch (83) indigo candle (84) small spherical pen (85) good brush (86) rubber bag (87) huge pyramidal bicycle (88) normal-size jar (89) big pyramidal vase (90) magenta knife (91) plastic brush (92) brazilian house (93) tiny box (94) small circular fork (95) ancient driving trash can (96) wonderful lamp (97) old-fashioned sunglasses (98) ethiopian box (99) mexican box (100) american ridiculous dog (101) egyptian repulsive jar (102) teal wood ball (103) old-fashioned chair (104) pyramidal marker (105) japanese nice bicycle (106) indigo fire extinguisher (107) pink iron bag (108) massive apple (109) triangular dog (110) exercise plier (111) german spoon (112) russian ridiculous bed (113) aqua fork (114) little prismlike vase (115) drinking lamp (116) old-fashioned snorkeling calculator (117) green rubber camera (118) small pyramidal clock (119) driving bowl (120) midsize guitar (121) mysterious bicycle (122) smoking lamp (123) green key (124) turkish obnoxious camera (125) magenta iron marker (126) circular guitar (127) japanese wonderful earring (128) square trash can (129) magenta house (130) filipino awful fork (131) fiberglass guitar (132) small bird (133) whittling bicycle (134) gray fiberglass vase (135) filipino awful jar (136) egyptian drill (137) fiberglass book (138) teal plastic drill (139) exercise piano (140) old-fashioned speaker (141) triangular shirt (142) congolese chair (143) archaic walking shirt (144) vietnamese lovely shoe (145) massive rectangular camera (146) crimson dog (147) archaic book (148) glass speaker (149) huge rectangular book (150) iranian house (151) brazilian hat (152) little circular shirt (153) iranian hammer (154) good box (155) plastic earring (156) pyramidal bangladeshi walking plier (157) crimson brush (158) cloth umbrella (159) eating house (160) american candle (161) ancient piano (162) white stapler (163) mexican terrible flower pot\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) massive triangular american mysterious archaic walking crimson car\n(B) large rectangular american nice new typing fiberglass black piano\n(C) maroon japanese ridiculous archaic exercise pyramidal small brush\n(D) red wood egyptian obnoxious old eating stapler\n(E) cloth teal iranian good old-fashioned whittling circular big earring\n(F) brown cardboard american good old hiking triangular jar\n(G) leather gray filipino silly brand-new exercise chair\n(H) leather black german silly old-fashioned typing square piano\n(I) green steel japanese obnoxious new exercise spherical midsize guitar\n(J) medium-size circular egyptian lovely brand-new typing shirt\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "2ccb53240f97a97d13ed7af70ae3812ee9ddfe189fcc8790065cd9c7e64c79f9",
    "id": "bbeh:hyperbaton:012",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) smoking hammer (2) midsize whittling book (3) white rubber bowl (4) whittling plier (5) violet plier (6) american sofa (7) ridiculous russian pen (8) lovely turkish umbrella (9) smoking bird (10) ridiculous box (11) archaic flower pot (12) pyramidal speaker (13) little typing vase (14) prismlike archaic table (15) triangular plier (16) cyan key (17) circular spoon (18) snorkeling sofa (19) egyptian piano (20) little book (21) glass calculator (22) big driving pencil (23) spherical ancient marker (24) square wallet (25) ancient key (26) aqua leather bag (27) big umbrella (28) wonderful bed (29) lovely brazilian shoe (30) german piano (31) glass necklace (32) old clock (33) crimson ancient midsize plier (34) normal-size bicycle (35) pyramidal ancient brush (36) nigerian lamp (37) silly pen (38) triangular old wallet (39) rectangular new shirt (40) black house (41) old jar (42) maroon guitar (43) cloth bird (44) black steel plier (45) spherical ancient car key (46) egyptian lamp (47) turkish stapler (48) whittling stapler (49) old-fashioned drill (50) brown wood house (51) triangular old-fashioned jar (52) pyramidal old-fashioned chair (53) leather chair (54) small hiking table (55) silly filipino pencil (56) silly iranian sofa (57) circular new plier (58) ancient sunglasses (59) old chair (60) big plier (61) spherical old-fashioned fire extinguisher (62) pyramidal wrench (63) huge snorkeling apple (64) normal-size walking trash can (65) cardboard bottle (66) spherical shirt (67) spherical new knife (68) repulsive vase (69) whittling calculator (70) massive walking marker (71) rectangular chair (72) silly egyptian hammer (73) little ring (74) walking ruler (75) triangular key (76) spherical old-fashioned brush (77) little bowl (78) circular archaic brush (79) terrible key (80) maroon rubber box (81) spherical clock (82) brand-new drill (83) obnoxious chinese earring (84) triangular candle (85) small lamp (86) brand-new speaker (87) awful turkish piano (88) bangladeshi bowl (89) obnoxious indonesian box (90) awful camera (91) blue flower pot (92) big jar (93) brown wood screwdriver (94) new saw (95) triangular car (96) teal rubber pencil (97) lovely ball (98) old-fashioned calculator (99) circular brand-new car key (100) gray rubber chair (101) magenta paper bicycle (102) normal-size drinking key (103) blue dog (104) massive car key (105) ridiculous plate (106) huge trash can (107) archaic ring (108) crimson cloth bird (109) massive smoking speaker (110) repulsive necklace (111) medium-size car (112) big screwdriver (113) fiberglass circular snorkeling marker (114) cyan wool umbrella (115) mexican ruler (116) obnoxious german bag (117) triangular old-fashioned fork (118) medium-size hiking piano (119) obnoxious scissors (120) mexican box (121) huge drinking brush (122) wool jar (123) wonderful german vase (124) blue fiberglass camera (125) nigerian shirt (126) obnoxious bottle (127) aqua brush (128) silly russian dog (129) square car key (130) violet bottle (131) ethiopian pen (132) little brush (133) gray ring (134) little sofa (135) mysterious marker (136) triangular stapler (137) glass scissors (138) massive candle (139) magenta wool chair (140) small brush (141) aqua shirt (142) brand-new necklace (143) old-fashioned bicycle (144) lovely pakistani wallet (145) gray necklace (146) teal leather wrench (147) plastic drill (148) enormous wrench (149) violet guitar (150) aqua bag (151) walking bowl (152) spherical ancient candle (153) typing drill (154) midsize marker (155) massive table (156) triangular ancient apple (157) lovely indian knife (158) circular new umbrella (159) large lamp (160) vietnamese watch (161) prismlike old-fashioned spoon (162) crimson steel book (163) circular ancient umbrella (164) black wallet (165) prismlike archaic wallet (166) large eating ball (167) circular new brush (168) teal plier (169) cyan cloth ball (170) circular brand-new bottle (171) square guitar (172) mysterious iranian cup (173) brazilian bag (174) drinking shirt (175) glass car key (176) old-fashioned camera (177) rectangular ancient book (178) paper table (179) big spoon (180) chinese stapler (181) obnoxious trash can (182) terrible speaker (183) steel candle (184) square scissors (185) repulsive iranian bag (186) lovely ring (187) aqua hammer (188) archaic key (189) driving lamp (190) chinese bag (191) awful indian pencil (192) lovely congolese bed (193) wonderful vietnamese toolbox (194) good apple (195) silly plate (196) gray plastic canvas (197) awful chinese brush (198) old-fashioned key (199) nice american canvas (200) violet piano (201) square old-fashioned umbrella (202) cyan screwdriver (203) black trash can (204) egyptian hammer (205) lovely bangladeshi dog (206) vietnamese piano (207) old box (208) ridiculous congolese canvas (209) cyan wool wallet (210) iron car (211) old flower pot (212) aqua plier (213) wonderful brazilian speaker (214) nice bed (215) indonesian house (216) blue scissors (217) pyramidal guitar (218) spherical new plier (219) square trash can (220) large bowl (221) wonderful bangladeshi stapler (222) silly nigerian piano (223) repulsive jar (224) chinese car key\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) red iron rectangular old huge eating nigerian bed\n(B) pakistani silly prismlike old normal-size typing wool crimson bird\n(C) pink fiberglass rectangular old normal-size eating bowl\n(D) obnoxious thai triangular old tiny typing plastic sofa\n(E) circular new big walking repulsive indian plier\n(F) teal cardboard prismlike old massive whittling ridiculous chinese car key\n(G) japanese square archaic enormous smoking wool teal apple\n(H) wonderful pyramidal old normal-size typing steel maroon table\n(I) steel rectangular old-fashioned enormous smoking awful indian brush\n(J) white cardboard circular old-fashioned normal-size walking obnoxious vase\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "a17eb8820dd9792536ea5437b5ab02a7dfbda89b0655ea19bcaa855a8cb1f228",
    "id": "bbeh:hyperbaton:015",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) yellow ruler (2) silly violet fork (3) silly aqua key (4) prismlike sunglasses (5) new ruler (6) archaic apple (7) terrible stapler (8) crimson dog (9) medium-size spoon (10) old-fashioned hammer (11) prismlike pen (12) typing ruler (13) new guitar (14) plastic egyptian necklace (15) wonderful shoe (16) whittling ruler (17) lovely piano (18) new scissors (19) whittling saw (20) lovely aqua necklace (21) massive spoon (22) ancient exercise candle (23) silly brown jar (24) rectangular stapler (25) prismlike bird (26) walking car (27) wood chinese hat (28) smoking apple (29) little square plate (30) old-fashioned typing flower pot (31) repulsive canvas (32) hiking hat (33) wool speaker (34) turkish old green box (35) huge dog (36) pyramidal lamp (37) prismlike saw (38) circular flower pot (39) maroon chair (40) egyptian jar (41) magenta bird (42) hiking spoon (43) iron sofa (44) large hat (45) tiny speaker (46) fiberglass vietnamese bottle (47) cyan hat (48) old-fashioned car key (49) new smoking toolbox (50) big triangular earring (51) terrible hat (52) maroon piano (53) ridiculous indigo sunglasses (54) archaic snorkeling bicycle (55) cardboard sofa (56) lovely fork (57) circular bowl (58) pink guitar (59) medium-size car (60) large fork (61) blue candle (62) triangular plate (63) rectangular spoon (64) huge scissors (65) massive knife (66) small circular pencil (67) small spherical key (68) ancient drinking candle (69) new drill (70) new drinking bowl (71) triangular sunglasses (72) brand-new cup (73) mysterious hammer (74) enormous triangular calculator (75) whittling stapler (76) square bed (77) cardboard typing lovely flower pot (78) german piano (79) glass bangladeshi watch (80) wool hammer (81) triangular house (82) iron mexican vase (83) massive rectangular screwdriver (84) prismlike necklace (85) nice red flower pot (86) old-fashioned pen (87) awful magenta spoon (88) russian bird (89) crimson flower pot (90) tiny pyramidal vase (91) good key (92) leather iranian box (93) repulsive gray ring (94) ethiopian knife (95) brown bag (96) midsize circular chair (97) snorkeling trash can (98) new whittling fire extinguisher\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) circular large old-fashioned driving good black sofa\n(B) wood filipino ancient smoking awful violet tiny prismlike fork\n(C) prismlike brand-new smoking ridiculous violet iranian paper bed\n(D) old drinking terrible white normal-size square wrench\n(E) cloth thai brand-new eating good blue plate\n(F) fiberglass indonesian brand-new smoking wonderful cyan massive bottle\n(G) big rectangular archaic smoking terrible yellow vase\n(H) thai old drinking nice green massive pyramidal clock\n(I) glass bangladeshi old-fashioned snorkeling nice magenta prismlike canvas\n(J) spherical little ancient walking good indigo bangladeshi jar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "32d2607435af9aaa1268c894272c28962112ff1a103c143d95e4cd93021bf445",
    "id": "bbeh:hyperbaton:020",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pakistani silly calculator (2) typing shoe (3) whittling trash can (4) hiking bowl (5) tiny flower pot (6) medium-size bicycle (7) typing old-fashioned ball (8) snorkeling necklace (9) turkish saw (10) mexican wonderful hammer (11) silly spoon (12) smoking bed (13) congolese fire extinguisher (14) circular canvas (15) iron black camera (16) small bird (17) steel pink camera (18) typing old-fashioned piano (19) iranian nice camera (20) spherical little table (21) rectangular massive car key (22) pyramidal enormous shirt (23) rectangular huge car key (24) wool violet clock (25) spherical little vase (26) walking fork (27) plastic crimson bag (28) nigerian lovely earring (29) indian table (30) normal-size toolbox (31) glass brush (32) pyramidal ancient filipino sunglasses (33) steel violet earring (34) egyptian shoe (35) ridiculous piano (36) tiny guitar (37) plastic vase (38) typing stapler (39) thai good trash can (40) awful speaker (41) midsize sunglasses (42) rubber guitar (43) fiberglass fork (44) old-fashioned saw (45) triangular watch (46) vietnamese nice dog (47) aqua flower pot (48) black key (49) crimson bag (50) wool pink pen (51) old-fashioned wallet (52) wool violet plate (53) steel chair (54) brand-new jar (55) wool fork (56) wool dog (57) old-fashioned bottle (58) paper bag (59) old-fashioned clock (60) medium-size bird (61) ethiopian terrible table (62) rectangular medium-size bird (63) rectangular speaker (64) old-fashioned cup (65) blue bowl (66) glass yellow ball (67) egyptian good calculator (68) russian repulsive canvas (69) walking new piano (70) cyan candle (71) crimson stapler (72) cardboard pink bottle (73) circular screwdriver (74) gray apple (75) ridiculous ruler (76) exercise ancient dog (77) triangular box (78) archaic necklace (79) brown screwdriver (80) bangladeshi marker (81) turkish wrench (82) chinese hat (83) rectangular normal-size hat (84) russian ball (85) cardboard brush (86) magenta umbrella (87) hiking old car (88) leather screwdriver (89) exercise old car (90) glass crimson trash can (91) triangular necklace (92) plastic white screwdriver (93) turkish bottle (94) smoking canvas (95) archaic apple (96) new fork (97) iron lamp (98) glass indigo knife (99) wonderful brush (100) indian terrible sunglasses (101) filipino nice vase (102) new jar (103) eating dog (104) square book (105) whittling ring (106) prismlike plier (107) prismlike box (108) mysterious candle (109) new car key (110) white fork (111) snorkeling ancient sofa (112) rectangular enormous box (113) nigerian mysterious lamp (114) vietnamese lovely vase (115) indigo camera (116) brazilian toolbox (117) wood red plier (118) mysterious plate (119) triangular little house (120) wood black cup (121) yellow saw (122) drinking bowl (123) ethiopian wonderful cup (124) driving old-fashioned earring (125) iron red pen (126) spherical trash can (127) red fire extinguisher (128) wonderful bag (129) paper green table (130) circular sunglasses (131) plastic crimson pen (132) snorkeling car (133) lovely spoon (134) square screwdriver (135) turkish hat (136) new banana (137) snorkeling ball (138) archaic key (139) tiny banana (140) chinese umbrella (141) egyptian piano (142) new clock (143) small flower pot (144) steel yellow necklace (145) tiny trash can (146) russian pen (147) exercise new wallet (148) square watch (149) filipino sunglasses (150) rectangular big marker (151) awful necklace (152) old-fashioned candle (153) congolese lovely drill (154) cloth gray stapler (155) square umbrella (156) aqua shoe (157) archaic candle (158) pakistani ball (159) drinking ancient umbrella (160) leather scissors (161) driving car (162) circular big book (163) walking ball (164) small drinking repulsive wrench (165) driving dog (166) terrible trash can (167) whittling ruler\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) green paper smoking old-fashioned mexican good enormous piano\n(B) wood green smoking brand-new japanese mysterious big shirt\n(C) pyramidal little drinking ancient egyptian terrible drill\n(D) square little typing old-fashioned nigerian awful green fire extinguisher\n(E) magenta snorkeling brand-new american obnoxious normal-size circular box\n(F) crimson fiberglass driving old-fashioned turkish silly ring\n(G) cardboard teal smoking new iranian ridiculous drill\n(H) brown rubber drinking new vietnamese ridiculous normal-size pyramidal necklace\n(I) massive smoking ancient chinese mysterious plastic indigo chair\n(J) triangular normal-size eating ancient ethiopian wonderful rubber crimson book\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "b2a3cf311f7fe3cc1c22f1aada5e771370274d6119b7349412967c1d077b09c3",
    "id": "bbeh:hyperbaton:031",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) medium-size aqua wrench (2) normal-size spherical repulsive scissors (3) good bird (4) medium-size violet saw (5) filipino scissors (6) prismlike bicycle (7) whittling rectangular wallet (8) iron saw (9) new book (10) exercise circular bag (11) egyptian wallet (12) little green chair (13) circular banana (14) aqua jar (15) pyramidal banana (16) snorkeling pyramidal bed (17) repulsive pakistani stapler (18) snorkeling spherical wallet (19) cloth old hat (20) magenta brush (21) tiny black plier (22) indigo dog (23) ethiopian umbrella (24) drinking flower pot (25) japanese plate (26) normal-size piano (27) indigo toolbox (28) driving bed (29) normal-size plate (30) wool earring (31) nice wallet (32) prismlike trash can (33) steel brand-new umbrella (34) indigo smoking turkish earring (35) glass knife (36) circular dog (37) eating umbrella (38) wonderful bag (39) green brush (40) driving flower pot (41) repulsive egyptian necklace (42) repulsive bag (43) wool ancient shoe (44) brand-new house (45) yellow bird (46) ancient piano (47) awful sofa (48) exercise camera (49) repulsive ethiopian scissors (50) cloth bag (51) rectangular bowl (52) typing square earring (53) huge car (54) old-fashioned knife (55) vietnamese calculator (56) leather sofa (57) exercise saw (58) pyramidal jar (59) iron archaic ruler (60) prismlike chair (61) eating guitar (62) lovely ethiopian toolbox (63) massive gray car key (64) spherical car (65) cloth jar (66) cloth dog (67) rectangular screwdriver (68) good thai stapler (69) spherical calculator (70) cloth archaic umbrella (71) normal-size blue apple (72) snorkeling necklace (73) big teal wallet (74) massive crimson wallet (75) glass book (76) wood shirt (77) spherical screwdriver (78) cardboard ancient stapler (79) smoking pyramidal wrench (80) violet toolbox (81) walking earring (82) german ruler (83) old table (84) snorkeling circular earring (85) tiny aqua plier (86) ancient spoon (87) big jar (88) aqua candle (89) rubber vase (90) big chair (91) midsize bicycle\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) big yellow drinking prismlike mysterious bangladeshi fiberglass brand-new ball\n(B) old leather drinking pyramidal lovely congolese teal key\n(C) large gray whittling spherical silly turkish brand-new banana\n(D) medium-size brown walking triangular ridiculous russian dog\n(E) little crimson driving circular ridiculous congolese rubber bowl\n(F) cloth brand-new hiking spherical obnoxious nigerian yellow saw\n(G) teal snorkeling triangular awful turkish archaic iron wrench\n(H) red typing circular good vietnamese paper archaic candle\n(I) typing pyramidal obnoxious mexican cardboard brand-new bag\n(J) ancient paper smoking circular repulsive turkish bottle\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "36430d17a8b7f49db767de27ad03210eb65d6c69f9f658af568f51a76db70d1c",
    "id": "bbeh:hyperbaton:035",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brazilian bird (2) ridiculous huge canvas (3) spherical fiberglass cup (4) repulsive shirt (5) enormous ball (6) rectangular flower pot (7) ancient brazilian piano (8) crimson scissors (9) nice vase (10) obnoxious toolbox (11) old bag (12) pyramidal lamp (13) eating white camera (14) drinking shirt (15) old shoe (16) drinking candle (17) indonesian apple (18) filipino ring (19) wonderful sofa (20) cloth hammer (21) smoking banana (22) steel ring (23) typing indigo lamp (24) spherical fire extinguisher (25) german chair (26) old watch (27) old turkish screwdriver (28) repulsive tiny spoon (29) indonesian knife (30) cyan hammer (31) brand-new egyptian house (32) cardboard car key (33) enormous hat (34) obnoxious little bottle (35) good enormous bicycle (36) pink pencil (37) old-fashioned japanese necklace (38) driving bed (39) rectangular leather calculator (40) medium-size fire extinguisher (41) nice enormous ruler (42) typing gray screwdriver (43) teal stapler (44) indonesian plate (45) small car (46) old congolese candle (47) indian bird (48) ancient vietnamese dog (49) hiking black shoe (50) old-fashioned hammer (51) awful calculator (52) prismlike plastic flower pot (53) midsize pen (54) old camera (55) exercise blue scissors (56) awful small shirt (57) mysterious small lamp (58) old egyptian banana (59) cardboard wallet (60) spherical fiberglass ball (61) snorkeling violet bicycle (62) pyramidal fiberglass trash can (63) spherical leather vase (64) medium-size hammer (65) cyan toolbox (66) congolese clock (67) normal-size saw (68) old speaker (69) prismlike bed (70) pyramidal apple (71) ancient jar (72) hiking calculator (73) archaic japanese screwdriver (74) pyramidal box (75) ridiculous car (76) nice enormous pencil (77) japanese key (78) red plate (79) whittling aqua bicycle (80) mexican car key (81) pyramidal plastic bed (82) maroon wrench (83) triangular shirt (84) triangular wood toolbox (85) indian necklace (86) driving calculator (87) pyramidal rubber watch (88) ridiculous normal-size key (89) ethiopian wrench (90) rectangular plastic table (91) spherical iron car (92) cloth plier (93) big candle (94) smoking watch (95) triangular steel calculator (96) circular pen (97) archaic russian canvas (98) nice small clock (99) old-fashioned guitar (100) drinking indigo wallet (101) old bowl (102) steel necklace (103) old-fashioned speaker (104) new nigerian brush (105) ridiculous pen (106) normal-size umbrella (107) teal bicycle (108) ridiculous bed (109) old key (110) archaic nigerian fire extinguisher (111) black trash can (112) aqua fire extinguisher (113) big car (114) wonderful toolbox (115) tiny house (116) crimson wrench (117) pyramidal house (118) obnoxious medium-size scissors (119) aqua chair (120) whittling magenta pen (121) medium-size bag (122) old brazilian lamp (123) good medium-size pen (124) hiking piano (125) snorkeling magenta ring (126) triangular plate (127) congolese ball (128) ridiculous fork (129) silly massive table (130) repulsive trash can (131) archaic apple (132) pyramidal paper trash can (133) cyan lamp (134) spherical rubber guitar (135) silly ball (136) prismlike cloth bed (137) little drill (138) magenta bag (139) smoking screwdriver (140) smoking sofa (141) mysterious banana (142) triangular fiberglass car key (143) rectangular cardboard drill (144) plastic scissors (145) prismlike key (146) smoking candle (147) exercise black drill (148) old japanese book (149) drinking aqua banana (150) walking pencil (151) lovely tiny canvas (152) large jar (153) whittling violet lamp (154) triangular rubber shoe (155) exercise chair (156) square plier (157) teal chair (158) whittling red hammer (159) terrible pencil (160) mexican bicycle (161) eating gray trash can (162) silly enormous chair (163) eating violet bicycle (164) violet stapler (165) smoking cup (166) thai fire extinguisher (167) wood necklace (168) old-fashioned ring (169) enormous sunglasses (170) brand-new table (171) new bicycle (172) spherical ball (173) drinking turkish spherical toolbox (174) eating crimson box (175) old-fashioned car (176) square glass pen (177) new bangladeshi sunglasses (178) old stapler (179) archaic hat (180) new key (181) bangladeshi brush (182) ethiopian key (183) glass saw (184) new american bowl (185) circular plastic speaker (186) rubber pencil (187) rectangular speaker (188) prismlike knife (189) midsize key (190) ethiopian pencil (191) exercise blue saw (192) maroon spoon (193) circular car (194) square paper table (195) rectangular glass sunglasses (196) new thai earring (197) glass sunglasses (198) square wallet (199) wonderful large wrench (200) pyramidal umbrella (201) spherical wool bottle (202) gray plier (203) spherical toolbox (204) maroon new paper hat (205) pyramidal fiberglass sofa (206) wonderful trash can (207) medium-size watch\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) huge archaic pakistani triangular steel maroon hiking plate\n(B) terrible tiny archaic indian rectangular iron black smoking sunglasses\n(C) good small ancient pakistani square cloth pink box\n(D) old-fashioned indian rectangular paper obnoxious little speaker\n(E) smoking cyan new indian prismlike glass massive screwdriver\n(F) walking maroon brand-new bangladeshi triangular glass ball\n(G) drinking cyan brand-new iranian circular wood awful spoon\n(H) maroon old mexican circular glass nice medium-size ring\n(I) large good old iranian prismlike wood cyan pen\n(J) large mysterious ancient ethiopian triangular fiberglass dog\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "cdf5663d9ae6d0a6816632f3f335d3d12eabde301b82644137901c6238ebfe94",
    "id": "bbeh:hyperbaton:036",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) small wool book (2) mexican mysterious ruler (3) turkish good ring (4) new spherical box (5) brand-new triangular key (6) hiking teal marker (7) egyptian good umbrella (8) maroon sunglasses (9) brand-new drill (10) fiberglass camera (11) medium-size saw (12) snorkeling house (13) midsize leather wrench (14) tiny brush (15) little iron bottle (16) big banana (17) whittling clock (18) awful box (19) repulsive screwdriver (20) paper mexican magenta toolbox (21) brazilian ring (22) midsize cup (23) wood key (24) mysterious ruler (25) white camera (26) indigo ring (27) huge cloth sofa (28) iranian obnoxious car (29) turkish candle (30) circular bag (31) yellow piano (32) fiberglass clock (33) indonesian good key (34) bangladeshi hat (35) vietnamese guitar (36) prismlike clock (37) hiking piano (38) midsize iron pencil (39) bangladeshi drill (40) archaic spherical lamp (41) brazilian awful bowl (42) mexican toolbox (43) hiking gray bed (44) small glass book (45) spherical scissors (46) massive cardboard book (47) wonderful jar (48) archaic fork (49) brand-new sofa (50) old-fashioned rectangular calculator (51) crimson fork (52) congolese jar (53) german watch (54) large fiberglass cup (55) square spoon (56) smoking magenta shoe (57) thai house (58) smoking crimson ball (59) egyptian good sunglasses (60) new spherical wallet (61) smoking maroon bag (62) old-fashioned square bowl (63) brazilian nice apple (64) black shoe (65) green wallet (66) hiking vase (67) brazilian sunglasses (68) whittling brown sofa (69) walking ring (70) congolese wonderful jar (71) indigo spoon (72) medium-size steel bicycle (73) prismlike bottle (74) pakistani lovely watch (75) exercise crimson toolbox (76) teal sofa (77) huge wonderful smoking bicycle (78) egyptian mysterious speaker (79) violet flower pot (80) iranian awful canvas (81) drinking violet candle (82) brand-new pyramidal calculator (83) red bird (84) silly table (85) cloth speaker (86) smoking bed (87) tiny wallet (88) little shirt (89) snorkeling brush (90) vietnamese repulsive watch (91) indigo jar (92) square canvas (93) teal toolbox (94) drinking wallet (95) brand-new cup (96) german repulsive trash can (97) yellow candle (98) eating fire extinguisher (99) little necklace (100) old bicycle (101) german sofa (102) exercise earring (103) small hat (104) iranian vase (105) japanese drill (106) drinking maroon sunglasses (107) walking stapler (108) terrible hammer (109) tiny lamp (110) walking gray sunglasses (111) brazilian repulsive camera (112) new prismlike sofa (113) green bicycle (114) turkish wallet (115) archaic drill (116) large wool screwdriver (117) exercise blue piano (118) iranian lovely trash can (119) typing red spoon (120) indigo clock (121) walking cyan key (122) new rectangular apple\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) rectangular archaic american repulsive exercise pink fiberglass little banana\n(B) big leather chinese ridiculous walking red prismlike guitar\n(C) massive steel american obnoxious exercise brown archaic wallet\n(D) brand-new rectangular thai mysterious snorkeling teal leather normal-size earring\n(E) bangladeshi lovely snorkeling brown square new sunglasses\n(F) pyramidal old thai silly smoking black candle\n(G) tiny fiberglass iranian obnoxious hiking brown banana\n(H) brand-new indonesian nice walking brown iron small bicycle\n(I) prismlike old bangladeshi obnoxious typing indigo paper screwdriver\n(J) medium-size leather bangladeshi good driving violet prismlike old-fashioned flower pot\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "66354049be3b690db5caee2d80c9cdb0183066e7dac604cb12696fac8df3c549",
    "id": "bbeh:hyperbaton:043",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pyramidal cup (2) filipino stapler (3) russian huge marker (4) circular scissors (5) violet pencil (6) steel ruler (7) archaic sofa (8) small saw (9) terrible square sofa (10) old paper marker (11) spherical bed (12) obnoxious pen (13) old vase (14) wonderful spherical ring (15) crimson watch (16) pyramidal bottle (17) wonderful pyramidal scissors (18) hiking white toolbox (19) medium-size key (20) square book (21) awful canvas (22) new plier (23) new wood saw (24) drinking blue stapler (25) old wool spoon (26) smoking lamp (27) nice prismlike hat (28) hiking green shirt (29) nigerian bicycle (30) tiny box (31) massive speaker (32) snorkeling yellow fork (33) archaic wood drill (34) exercise plate (35) rectangular cup (36) prismlike guitar (37) midsize stapler (38) old-fashioned fork (39) wonderful earring (40) eating earring (41) driving magenta box (42) spherical flower pot (43) triangular vase (44) normal-size banana (45) bangladeshi pen (46) terrible wrench (47) brand-new fire extinguisher (48) driving necklace (49) awful apple (50) awful pyramidal book (51) circular bicycle (52) nice saw (53) archaic wool plier (54) fiberglass ruler (55) snorkeling lamp (56) vietnamese large lamp (57) archaic trash can (58) indonesian earring (59) lovely piano (60) old-fashioned glass sofa (61) spherical candle (62) lovely prismlike spoon (63) new paper hammer (64) driving car (65) exercise bowl (66) iron pen (67) ridiculous prismlike book (68) bangladeshi big saw (69) normal-size watch (70) prismlike lamp (71) lovely ring (72) old-fashioned wood bowl (73) american little house (74) old wood banana (75) old-fashioned cloth pencil (76) cloth necklace (77) hiking indigo screwdriver (78) walking red bird (79) drinking gray apple (80) thai chair (81) little old square ring (82) ancient steel wrench (83) prismlike bird (84) congolese midsize bird (85) egyptian banana (86) maroon brush (87) ancient plastic umbrella (88) ancient ring (89) archaic leather house (90) massive watch (91) crimson book (92) silly jar (93) violet fire extinguisher (94) archaic pen (95) whittling chair (96) good pyramidal bicycle (97) obnoxious triangular bag (98) iron shoe (99) wood watch (100) american massive spoon (101) driving pen (102) medium-size flower pot (103) rubber pencil (104) old leather guitar (105) mysterious square bed (106) paper shirt (107) pakistani tiny candle (108) wonderful circular candle (109) lovely house (110) brazilian house (111) drinking pink umbrella (112) indian plate (113) egyptian plate (114) good spoon (115) smoking necklace (116) driving magenta table (117) brown flower pot (118) archaic glass bed (119) archaic clock (120) cyan ring (121) iranian large bottle (122) turkish wool repulsive camera (123) small bed (124) iranian key (125) old fork (126) brand-new paper bottle (127) obnoxious pyramidal spoon (128) pyramidal hammer (129) rectangular bird (130) iranian large saw (131) bangladeshi wallet (132) wood bicycle (133) hiking ring (134) nice prismlike book (135) wonderful bicycle (136) old leather plier (137) rectangular box (138) old house (139) old-fashioned jar (140) prismlike ring (141) indonesian medium-size spoon (142) smoking shoe (143) brand-new hat (144) small bicycle (145) vietnamese enormous plier (146) iron spoon (147) prismlike umbrella (148) wool table (149) white drill (150) hiking cyan flower pot (151) awful drill (152) massive fork (153) awful square hammer (154) eating maroon car key (155) japanese key (156) big bag (157) black house (158) japanese necklace (159) repulsive pyramidal clock\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) little old-fashioned cloth ridiculous circular driving maroon dog\n(B) ethiopian medium-size archaic rubber good square driving marker\n(C) russian enormous old wood mysterious prismlike exercise crimson fork\n(D) snorkeling cyan old leather awful pyramidal little wrench\n(E) eating old leather nice triangular normal-size pakistani fork\n(F) teal old steel obnoxious pyramidal huge mexican banana\n(G) hiking violet old-fashioned cloth good spherical marker\n(H) ethiopian massive archaic plastic wonderful spherical green exercise chair\n(I) chinese massive old-fashioned leather good spherical bird\n(J) indigo eating old cardboard nice rectangular huge nigerian clock\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "5e6e8c0321af2b3ba808b7ec080f0b76545605654f0d856e11486c9b2a50fb41",
    "id": "bbeh:hyperbaton:047",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) glass american plate (2) circular stapler (3) old exercise spoon (4) circular ridiculous canvas (5) yellow bottle (6) cardboard bangladeshi plier (7) little camera (8) triangular repulsive earring (9) brand-new exercise umbrella (10) brand-new drinking plate (11) nice shoe (12) yellow apple (13) ridiculous piano (14) rubber box (15) tiny canvas (16) fiberglass iranian lamp (17) square speaker (18) circular car (19) lovely watch (20) ancient exercise house (21) ancient banana (22) nice cup (23) plastic car key (24) pakistani stapler (25) normal-size sofa (26) vietnamese vase (27) bangladeshi car (28) pyramidal mysterious key (29) archaic walking pen (30) pyramidal necklace (31) cloth cup (32) red midsize jar (33) wood shoe (34) awful umbrella (35) blue big sunglasses (36) huge house (37) smoking guitar (38) rubber candle (39) old stapler (40) turkish necklace (41) old snorkeling marker (42) spherical obnoxious lamp (43) wonderful trash can (44) leather congolese hat (45) prismlike car (46) square lovely marker (47) steel spoon (48) fiberglass mexican car (49) violet car (50) black stapler (51) old-fashioned eating speaker (52) archaic car key (53) new exercise candle (54) lovely canvas (55) whittling car key (56) bangladeshi car key (57) pakistani flower pot (58) mysterious table (59) leather wallet (60) large shoe (61) thai table (62) cloth japanese bowl (63) ancient pencil (64) old-fashioned snorkeling lamp (65) old exercise shoe (66) circular shirt (67) silly lamp (68) rectangular candle (69) indonesian sofa (70) square bicycle (71) enormous earring (72) iron german brush (73) rectangular lovely umbrella (74) pink pen (75) old-fashioned hiking ring (76) drinking book (77) steel shoe (78) yellow enormous fire extinguisher (79) tiny car (80) green medium-size shirt (81) rubber bag (82) old-fashioned car key (83) steel sunglasses (84) turkish sunglasses (85) triangular banana (86) big bicycle (87) huge candle (88) hiking table (89) green wrench (90) nigerian book (91) driving wool little stapler (92) magenta camera (93) large pen (94) new snorkeling key (95) glass german house (96) fiberglass bottle (97) old screwdriver (98) iron iranian bird (99) mysterious watch (100) leather brazilian banana (101) ridiculous bottle (102) nice vase (103) brown midsize jar (104) old-fashioned fork (105) maroon normal-size lamp (106) square good earring (107) wool jar (108) spherical terrible cup (109) medium-size drill (110) square necklace (111) rubber jar (112) brand-new bag (113) new toolbox (114) triangular plier (115) white speaker (116) yellow little shirt (117) pyramidal saw (118) terrible stapler (119) old whittling banana (120) new driving knife (121) bangladeshi vase (122) terrible canvas (123) new calculator (124) magenta medium-size flower pot (125) yellow big earring (126) triangular sofa (127) old-fashioned american magenta speaker (128) exercise house (129) glass lamp (130) aqua canvas (131) brand-new driving dog (132) plastic wallet (133) smoking saw (134) cloth american table (135) rubber german ring (136) wool shoe (137) white calculator (138) little speaker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) smoking glass japanese brown small spherical terrible stapler\n(B) ancient eating iron nigerian gray massive prismlike bag\n(C) nice spherical iron brazilian indigo midsize earring\n(D) fiberglass thai black large wonderful pyramidal vase\n(E) triangular wood pakistani white big typing archaic plate\n(F) triangular ridiculous wood nigerian cyan small bicycle\n(G) whittling glass indonesian aqua normal-size nice prismlike bed\n(H) pyramidal wonderful wood american pink tiny hiking archaic hammer\n(I) repulsive pyramidal steel german gray small smoking bottle\n(J) old eating iron chinese white normal-size necklace\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "401660dd51ccc38481c8349adca1ca67eff2f6a191e94e1a1366f301ea46b800",
    "id": "bbeh:hyperbaton:050",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) midsize wallet (2) old guitar (3) brand-new key (4) violet wallet (5) little old fork (6) square bicycle (7) black house (8) red trash can (9) archaic box (10) plastic necklace (11) walking key (12) enormous teal lovely plate (13) ancient wrench (14) big old-fashioned jar (15) repulsive indian canvas (16) typing indigo fire extinguisher (17) whittling aqua shoe (18) walking book (19) circular pen (20) old eating mexican bird (21) ancient screwdriver (22) driving brown jar (23) normal-size watch (24) wood pyramidal watch (25) enormous umbrella (26) blue knife (27) black banana (28) little ancient table (29) driving cup (30) normal-size archaic chair (31) drinking pink piano (32) fiberglass prismlike watch (33) exercise brush (34) drinking jar (35) brand-new shirt (36) obnoxious indonesian wrench (37) maroon fork (38) turkish clock (39) normal-size old brush (40) square plier (41) chinese ruler (42) japanese plier (43) driving book (44) american watch (45) indigo bowl (46) exercise bird (47) old bowl (48) lovely house (49) steel bed (50) obnoxious car (51) terrible german house (52) rubber umbrella (53) rubber triangular dog (54) paper bed (55) large shirt (56) maroon box (57) turkish bird (58) big archaic brush (59) smoking blue sofa (60) midsize shoe (61) spherical bed (62) drinking necklace (63) gray earring (64) spherical pencil (65) enormous jar (66) snorkeling banana (67) nice marker (68) green toolbox (69) brazilian canvas (70) egyptian stapler (71) triangular drill (72) little old-fashioned marker (73) glass circular ring (74) leather camera (75) japanese earring (76) old wrench (77) russian apple (78) maroon lamp (79) obnoxious pakistani ball (80) walking clock (81) circular stapler (82) snorkeling indigo house (83) repulsive lamp (84) drinking lamp (85) huge fire extinguisher (86) cloth brush (87) ridiculous mexican pencil (88) midsize archaic pencil (89) little new bed (90) ridiculous indian umbrella (91) filipino hat (92) cyan plate (93) exercise indigo plate (94) big archaic spoon (95) new saw (96) terrible ethiopian chair (97) rubber hat (98) archaic ring (99) glass flower pot (100) iron prismlike bicycle (101) large new bag (102) old-fashioned guitar (103) wool sunglasses (104) iron plier (105) exercise magenta table (106) driving clock (107) medium-size chair (108) large archaic chair (109) chinese car key (110) large apple (111) bangladeshi pencil (112) tiny ancient canvas (113) iron rectangular clock (114) tiny trash can (115) ancient house (116) old clock (117) plastic prismlike bird (118) old ruler\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) medium-size old-fashioned smoking black good japanese prismlike screwdriver\n(B) paper pyramidal walking blue obnoxious egyptian necklace\n(C) wood typing yellow nice russian old tiny shoe\n(D) circular leather snorkeling magenta good turkish old-fashioned bowl\n(E) medium-size brand-new drinking magenta terrible pakistani paper car key\n(F) small archaic walking aqua repulsive egyptian spoon\n(G) enormous brand-new smoking pink terrible chinese steel prismlike bicycle\n(H) typing cyan good iranian paper triangular ring\n(I) old typing red wonderful iranian triangular wool ring\n(J) new eating white silly ethiopian plastic circular screwdriver\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "9b2d45a815e9067694281e877e97a4e03dfabf1a89144a962c4540dde3c560a9",
    "id": "bbeh:hyperbaton:051",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) rubber cup (2) ancient candle (3) tiny triangular ball (4) snorkeling camera (5) new wrench (6) square plate (7) iranian chair (8) old-fashioned snorkeling bag (9) yellow bed (10) old driving fire extinguisher (11) prismlike table (12) steel book (13) indigo indonesian screwdriver (14) cyan spoon (15) lovely steel guitar (16) small rectangular camera (17) good rubber knife (18) huge prismlike book (19) good ring (20) drinking screwdriver (21) old-fashioned house (22) smoking spoon (23) terrible key (24) brand-new typing ball (25) old snorkeling wrench (26) wonderful iron box (27) large square pen (28) lovely wood banana (29) aqua ethiopian camera (30) ancient screwdriver (31) red egyptian cup (32) mexican pencil (33) cardboard bicycle (34) medium-size rectangular plier (35) large wallet (36) lovely wool saw (37) filipino bed (38) paper brush (39) magenta indonesian bowl (40) rectangular fork (41) silly leather cup (42) terrible iron clock (43) old-fashioned snorkeling necklace (44) cloth ball (45) blue calculator (46) mysterious banana (47) blue ethiopian box (48) ancient whittling knife (49) ridiculous cloth wallet (50) repulsive key (51) rubber guitar (52) exercise calculator (53) walking car (54) typing screwdriver (55) brand-new cup (56) paper stapler (57) brand-new screwdriver (58) good pen (59) american scissors (60) nice rubber ring (61) indigo canvas (62) fiberglass table (63) cloth necklace (64) circular car key (65) enormous circular key (66) red brush (67) snorkeling earring (68) cloth ancient iranian saw (69) ridiculous wood canvas (70) bangladeshi brush (71) archaic snorkeling canvas (72) medium-size drill (73) old-fashioned key (74) triangular bottle (75) spherical candle (76) old smoking shoe (77) aqua filipino box (78) good brush (79) tiny hammer (80) lovely pen (81) huge triangular clock (82) nice ring (83) enormous lamp (84) german car (85) medium-size spoon (86) terrible hiking crimson marker (87) triangular sunglasses (88) midsize box (89) large square shirt (90) huge spherical vase (91) walking piano (92) square brush (93) drinking spoon (94) old-fashioned smoking bird (95) little shoe (96) new smoking house (97) iron shoe (98) filipino chair (99) red screwdriver (100) wool scissors (101) obnoxious speaker (102) snorkeling lamp (103) medium-size brush (104) rubber box (105) lovely wood chair (106) tiny hat (107) huge pen (108) old spoon (109) pink stapler (110) green chinese watch (111) maroon bangladeshi bird (112) new hiking stapler (113) normal-size circular bag (114) spherical bag (115) small square banana (116) nice brush (117) enormous marker (118) blue house (119) pink german speaker (120) silly jar (121) turkish jar (122) enormous apple (123) brand-new umbrella (124) typing bottle (125) red american box (126) eating calculator (127) pyramidal bottle (128) huge stapler (129) tiny spoon (130) mexican hammer (131) teal american ball (132) archaic screwdriver (133) leather apple (134) egyptian necklace (135) spherical house (136) russian marker (137) old-fashioned shirt (138) terrible car (139) driving pen (140) massive spherical car key (141) magenta indonesian jar (142) blue bangladeshi ring (143) wonderful jar (144) normal-size toolbox (145) big jar (146) nice cloth camera (147) little rectangular watch (148) good stapler (149) green congolese spoon (150) leather hammer (151) archaic typing house (152) new apple\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) enormous prismlike old drinking white chinese cardboard mysterious marker\n(B) nice glass old-fashioned exercise indigo nigerian pyramidal big knife\n(C) nice paper ancient typing maroon german large rectangular bowl\n(D) wool archaic driving aqua turkish pyramidal enormous ring\n(E) rectangular large new driving aqua thai cloth canvas\n(F) lovely cardboard old-fashioned driving maroon egyptian clock\n(G) wonderful plastic new hiking aqua russian spherical toolbox\n(H) little square old-fashioned eating aqua nigerian fiberglass flower pot\n(I) old hiking green nigerian rectangular small knife\n(J) circular little archaic whittling brown american bed\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "f4b398cefbc5fa28b72bee9efb3c92f4586212b71598635f99e8b341f01e1c5d",
    "id": "bbeh:hyperbaton:052",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) iranian bag (2) midsize new ball (3) yellow nice table (4) thai hammer (5) glass bag (6) drinking triangular bag (7) steel egyptian sofa (8) archaic earring (9) aqua good plate (10) nice book (11) massive brand-new vase (12) plastic vietnamese apple (13) enormous brand-new hammer (14) black plate (15) little pen (16) yellow repulsive car (17) cyan shirt (18) cloth indian calculator (19) terrible wrench (20) typing square hammer (21) paper american flower pot (22) tiny umbrella (23) black silly wrench (24) lovely bowl (25) new ruler (26) small car key (27) old-fashioned flower pot (28) old key (29) hiking table (30) pakistani pen (31) vietnamese jar (32) mysterious hammer (33) cardboard house (34) teal silly key (35) eating lamp (36) wool bicycle (37) bangladeshi hat (38) paper candle (39) whittling pyramidal pen (40) red lamp (41) cloth ethiopian book (42) wool german fork (43) good car (44) massive old-fashioned dog (45) drinking triangular trash can (46) green screwdriver (47) brand-new knife (48) large flower pot (49) violet stapler (50) ridiculous umbrella (51) circular fork (52) repulsive bag (53) obnoxious umbrella (54) ancient wallet (55) lovely toolbox (56) gray knife (57) old wrench (58) glass turkish marker (59) green scissors (60) little old-fashioned stapler (61) indigo mysterious knife (62) spherical fork (63) old banana (64) repulsive screwdriver (65) brown silly apple (66) gray wonderful canvas (67) exercise rectangular wrench (68) snorkeling camera (69) massive guitar (70) normal-size bed (71) circular house (72) yellow shoe (73) massive calculator (74) midsize old chair (75) enormous new spoon (76) driving rectangular book (77) ancient necklace (78) huge new wallet (79) walking pyramidal fork (80) wood japanese key (81) driving spherical screwdriver (82) midsize spoon (83) driving umbrella (84) green obnoxious book (85) japanese canvas (86) cloth congolese fork (87) glass turkish canvas (88) cardboard ruler (89) repulsive piano (90) violet chair (91) triangular sofa (92) vietnamese piano (93) violet speaker (94) cardboard german bowl (95) leather fork (96) brand-new guitar (97) midsize ancient jar (98) small marker (99) magenta lamp (100) whittling square fork (101) good plier (102) crimson terrible house (103) spherical camera (104) huge car key (105) yellow drill (106) archaic spoon (107) silly bag (108) large old necklace (109) maroon mysterious box (110) blue lovely saw (111) blue jar (112) iranian table (113) small jar (114) rubber turkish pencil (115) iron congolese trash can (116) chinese stapler (117) rubber german camera (118) little old-fashioned umbrella (119) midsize calculator (120) brazilian drill (121) old-fashioned earring (122) huge old banana (123) square fork (124) prismlike toolbox (125) triangular wallet (126) brazilian plate (127) snorkeling circular pen (128) crimson car (129) egyptian sofa (130) brand-new banana (131) rectangular ring (132) typing spherical candle (133) old-fashioned shirt (134) wool thai chair (135) driving triangular trash can (136) big bowl (137) circular crimson pakistani ring (138) chinese sunglasses (139) big archaic necklace (140) tiny brand-new earring (141) ancient bicycle (142) fiberglass shoe (143) rubber bed (144) fiberglass bangladeshi bowl (145) glass screwdriver (146) drinking ball (147) maroon obnoxious book (148) cardboard hat (149) rubber german hammer (150) tiny fork (151) indigo obnoxious jar (152) typing nice plastic speaker (153) wonderful watch (154) lovely wallet (155) gray good pencil (156) wood american stapler (157) ancient shirt (158) circular key (159) triangular piano (160) exercise prismlike pencil (161) wool bangladeshi bed (162) cyan bowl (163) typing knife (164) whittling bicycle (165) blue mysterious spoon (166) cyan dog (167) whittling rectangular table (168) rectangular cup (169) tiny ring (170) normal-size new screwdriver (171) awful ruler (172) yellow terrible bag (173) iron vietnamese ruler (174) wool umbrella (175) paper bottle (176) big speaker (177) indigo canvas (178) steel pencil (179) turkish fire extinguisher (180) wool nigerian table (181) ridiculous book (182) red terrible shirt (183) pink fork (184) small old clock (185) medium-size ancient spoon (186) normal-size new guitar (187) triangular bird (188) iranian bird (189) square bag (190) nice knife (191) spherical house (192) old-fashioned hammer (193) old fork (194) small old-fashioned banana (195) new car (196) yellow camera (197) driving plate (198) wonderful book (199) normal-size clock (200) little car (201) triangular screwdriver (202) white mysterious clock (203) chinese pen (204) massive archaic house (205) steel brazilian lamp (206) square brush (207) triangular pencil (208) teal lovely bed (209) indian pen (210) ridiculous fire extinguisher (211) wonderful plier (212) circular plier (213) snorkeling knife (214) eating trash can (215) enormous speaker (216) silly box (217) cloth ball (218) german spoon (219) japanese watch (220) brand-new trash can\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) brand-new white good cardboard pakistani triangular typing banana\n(B) black terrible plastic pakistani new enormous car key\n(C) aqua awful glass congolese enormous archaic car\n(D) walking circular magenta ridiculous cloth russian ancient hat\n(E) big archaic brown lovely cloth filipino prismlike candle\n(F) square pink awful leather ethiopian new large earring\n(G) whittling circular indigo lovely glass nigerian speaker\n(H) archaic enormous red terrible cloth ethiopian saw\n(I) large maroon obnoxious leather ethiopian circular drinking pen\n(J) smoking pyramidal white awful plastic nigerian small table\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "153b641b4ec011b200386afb007addf7e29b0d2953419a049504d22f5e9267c3",
    "id": "bbeh:hyperbaton:060",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) german sunglasses (2) awful clock (3) plastic guitar (4) circular banana (5) small ancient watch (6) pyramidal lamp (7) violet bottle (8) cyan filipino fork (9) hiking wool speaker (10) pakistani jar (11) enormous old-fashioned house (12) triangular repulsive pencil (13) normal-size archaic clock (14) typing cloth plate (15) massive piano (16) big banana (17) massive box (18) rectangular silly pencil (19) drinking iron necklace (20) cyan sofa (21) obnoxious shirt (22) square wonderful hat (23) japanese ball (24) nice hat (25) hiking table (26) rectangular silly car key (27) square awful scissors (28) mysterious trash can (29) enormous chair (30) brand-new dog (31) enormous ring (32) pyramidal scissors (33) enormous archaic saw (34) old drill (35) indian wallet (36) plastic ring (37) cloth pencil (38) cyan screwdriver (39) pyramidal good ball (40) massive brand-new pen (41) black piano (42) exercise earring (43) exercise book (44) new marker (45) snorkeling chair (46) new lamp (47) eating plier (48) ancient saw (49) repulsive chair (50) cyan jar (51) circular lovely wrench (52) medium-size box (53) pyramidal bird (54) congolese lamp (55) aqua plier (56) wood ball (57) lovely little cardboard table (58) triangular ancient snorkeling toolbox (59) pyramidal wrench (60) medium-size car key (61) cardboard stapler (62) exercise screwdriver (63) wonderful marker (64) vietnamese umbrella (65) eating cloth car key (66) rectangular ridiculous bed (67) rectangular bird (68) paper bowl (69) typing paper bag (70) hiking banana (71) little stapler (72) archaic bicycle (73) congolese cup (74) exercise dog (75) little ruler (76) circular awful spoon (77) triangular ridiculous shirt (78) iron shoe (79) indigo indian knife (80) triangular obnoxious piano (81) silly house (82) gray canvas (83) little archaic car (84) prismlike wonderful hat (85) new guitar (86) spherical camera (87) obnoxious candle (88) terrible sunglasses (89) medium-size old-fashioned guitar (90) violet iranian drill (91) magenta indian fork (92) circular bicycle (93) big old-fashioned plate (94) teal dog (95) ancient bowl (96) silly screwdriver (97) maroon pen (98) prismlike wonderful book (99) japanese banana (100) old shoe (101) magenta pencil (102) massive archaic chair (103) small book (104) paper marker (105) archaic spoon (106) midsize jar (107) wool trash can (108) ancient drill (109) walking wood wrench (110) archaic canvas (111) awful umbrella (112) wool knife (113) obnoxious table (114) good candle (115) teal vase (116) ridiculous canvas (117) huge new bird (118) tiny earring (119) spherical wrench (120) terrible house (121) tiny brand-new screwdriver (122) rectangular hat (123) walking fork (124) typing rubber drill (125) whittling brush (126) square silly earring (127) walking paper bed (128) red american sofa (129) brand-new watch (130) midsize piano (131) brown egyptian trash can (132) massive fork (133) little toolbox (134) teal american fork (135) prismlike awful brush (136) spherical key (137) spherical lovely table (138) red sunglasses (139) hiking ball (140) ridiculous bag (141) old pencil (142) red ethiopian candle (143) plastic pencil (144) ethiopian umbrella (145) spherical awful wallet (146) iron vase (147) tiny new book (148) driving hammer (149) large brand-new car key (150) small clock (151) hiking plastic pen (152) medium-size wallet (153) red canvas (154) large ancient plier (155) large old drill (156) maroon necklace (157) exercise plastic apple (158) little hammer (159) big ruler (160) smoking rubber sofa (161) paper camera (162) indonesian scissors (163) teal scissors (164) drinking car (165) brand-new stapler (166) brand-new table (167) walking glass knife (168) small vase (169) green cup (170) typing flower pot (171) enormous old knife (172) hiking wool bottle (173) fiberglass marker (174) maroon american ball (175) midsize marker (176) cardboard toolbox (177) archaic screwdriver (178) driving steel ruler (179) circular jar (180) iron hat (181) medium-size wrench (182) large jar (183) plastic key (184) eating glass box (185) prismlike lamp (186) spherical wonderful shoe (187) paper earring (188) triangular calculator (189) prismlike screwdriver (190) little brand-new key (191) square candle (192) yellow thai cup (193) exercise piano (194) pyramidal fork (195) enormous pencil (196) circular terrible house (197) fiberglass hat (198) german ball (199) tiny necklace (200) black watch (201) german bed (202) pyramidal obnoxious spoon (203) triangular shoe (204) circular obnoxious earring (205) exercise camera (206) big apple (207) blue bicycle (208) iron screwdriver (209) normal-size scissors (210) plastic vase (211) turkish stapler (212) archaic candle (213) german camera (214) ancient ball (215) leather bird (216) pyramidal silly calculator (217) nice bicycle (218) yellow house (219) little ancient bed (220) driving ruler (221) ridiculous flower pot (222) silly plier (223) smoking wood sunglasses (224) midsize plier (225) teal jar (226) awful pen\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) silly small old-fashioned whittling steel blue turkish bag\n(B) brown medium-size new hiking cardboard repulsive square bicycle\n(C) prismlike repulsive huge old-fashioned eating leather congolese magenta camera\n(D) prismlike nice huge brand-new snorkeling plastic sofa\n(E) big old-fashioned hiking iron crimson thai shirt\n(F) thai medium-size old eating rubber wonderful triangular camera\n(G) gray ethiopian large brand-new hiking plastic nice prismlike necklace\n(H) pink bangladeshi normal-size old-fashioned eating glass plate\n(I) gray brazilian huge brand-new eating wool lovely stapler\n(J) little ancient driving leather pakistani cyan banana\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "dd69dfeef8ecade9821ce11ebfcfe4f85801093a47bf2f664cca93c51ebef9cb",
    "id": "bbeh:hyperbaton:062",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) smoking house (2) large maroon candle (3) cyan calculator (4) snorkeling rectangular plier (5) indonesian new canvas (6) chinese brand-new fire extinguisher (7) rectangular shirt (8) steel brush (9) russian box (10) awful screwdriver (11) prismlike candle (12) iron pencil (13) awful cloth car key (14) driving triangular wallet (15) normal-size black trash can (16) ancient bag (17) archaic banana (18) normal-size earring (19) egyptian archaic flower pot (20) lovely necklace (21) circular apple (22) congolese brand-new house (23) awful speaker (24) filipino ancient book (25) archaic exercise aqua toolbox (26) repulsive iron scissors (27) driving shoe (28) typing pencil (29) massive gray earring (30) huge pink plier (31) teal key (32) enormous knife (33) vietnamese brand-new saw (34) awful steel vase (35) driving saw (36) eating ring (37) teal sunglasses (38) turkish old key (39) eating car key (40) nigerian pen (41) vietnamese old canvas (42) prismlike fork (43) american ancient pen (44) ridiculous fiberglass bed (45) tiny knife (46) normal-size yellow lamp (47) pyramidal ring (48) driving fire extinguisher (49) german triangular little umbrella (50) glass hat\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) fiberglass lovely drinking rectangular tiny pink knife\n(B) wonderful cloth exercise pyramidal big crimson box\n(C) hiking triangular little black leather nice house\n(D) japanese brand-new typing spherical tiny crimson fiberglass awful drill\n(E) wool whittling square enormous yellow old-fashioned indonesian lamp\n(F) filipino old-fashioned drinking prismlike little magenta plier\n(G) iranian ancient snorkeling rectangular tiny teal terrible ball\n(H) steel terrible eating square huge crimson ancient canvas\n(I) wood terrible eating triangular big crimson new russian wrench\n(J) good iron driving square huge brown old-fashioned nigerian apple\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "162b7e0b5ea493bf5de747d179798e56f460af483c7f3d7a7de5c1a0f0b1a856",
    "id": "bbeh:hyperbaton:064",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) awful archaic shirt (2) square canvas (3) obnoxious bottle (4) indian tiny book (5) walking blue plier (6) snorkeling crimson shoe (7) ridiculous ball (8) old fire extinguisher (9) big sofa (10) german piano (11) square cloth piano (12) new camera (13) large fire extinguisher (14) ethiopian banana (15) enormous shoe (16) japanese apple (17) bangladeshi clock (18) glass fork (19) nice archaic apple (20) brazilian huge bed (21) driving blue calculator (22) terrible ancient stapler (23) obnoxious brand-new bottle (24) snorkeling sunglasses (25) medium-size sofa (26) mexican bird (27) hiking cyan flower pot (28) teal pen (29) spherical brand-new eating clock (30) american large bottle (31) new car key (32) ancient fire extinguisher (33) prismlike wood shoe (34) rectangular steel hammer (35) snorkeling yellow hammer (36) indonesian medium-size key (37) black flower pot (38) iron screwdriver (39) hiking ball (40) massive toolbox (41) spherical wool bottle (42) indonesian marker (43) pyramidal saw (44) vietnamese huge clock (45) brand-new hammer (46) drinking chair (47) little guitar (48) repulsive umbrella (49) american hat (50) good ancient bowl (51) wool toolbox (52) circular scissors (53) walking hammer (54) new shirt (55) prismlike plate (56) obnoxious sofa (57) huge bird (58) terrible brand-new banana (59) iron box (60) triangular leather guitar (61) gray fork (62) old bowl (63) nigerian wrench (64) teal bowl (65) pakistani huge necklace (66) hiking scissors (67) crimson sofa (68) paper car (69) drinking brown drill (70) ethiopian trash can (71) awful ancient shoe (72) american bed (73) prismlike speaker (74) wood lovely teal camera (75) spherical glass clock (76) old-fashioned pen (77) red bottle (78) fiberglass box (79) filipino large sunglasses (80) repulsive bowl (81) triangular leather brush (82) blue cup (83) silly wallet (84) smoking violet watch (85) good jar (86) cloth cup (87) wonderful ring (88) brown knife (89) archaic fork (90) old-fashioned dog (91) archaic bag (92) ethiopian midsize speaker (93) german wallet (94) magenta trash can\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) iranian small silly brand-new walking yellow cloth bed\n(B) rubber obnoxious brand-new snorkeling magenta indian large speaker\n(C) tiny bangladeshi terrible brand-new snorkeling magenta glass watch\n(D) chinese big wonderful new whittling gray cup\n(E) thai awful old hiking black iron circular camera\n(F) steel nice old whittling maroon medium-size filipino hat\n(G) prismlike wool ridiculous ancient driving cyan thai car\n(H) spherical paper wonderful ancient smoking pink large fork\n(I) indian medium-size wonderful old snorkeling white wool triangular candle\n(J) square glass obnoxious archaic drinking crimson ring\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "2d166d54175f628bde20bf6849f7991ecf59d6b073d0c45614f14c9526d21c8e",
    "id": "bbeh:hyperbaton:070",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) rubber speaker (2) wool prismlike bed (3) silly indian bird (4) archaic canvas (5) indonesian pencil (6) archaic bottle (7) drinking saw (8) lovely vietnamese plier (9) snorkeling american medium-size guitar (10) driving pink bed (11) walking camera (12) terrible cup (13) enormous earring (14) steel canvas (15) plastic square shoe (16) egyptian spoon (17) small new speaker (18) cyan knife (19) little scissors (20) old-fashioned pencil (21) circular car (22) white wrench (23) snorkeling violet speaker (24) ridiculous drill (25) german sunglasses (26) obnoxious turkish spoon (27) indian clock (28) cyan key (29) triangular bicycle (30) ethiopian plate (31) eating magenta trash can (32) big archaic earring (33) russian vase (34) congolese marker (35) driving box (36) triangular box (37) eating book (38) small guitar (39) big old-fashioned scissors (40) old-fashioned fire extinguisher (41) nigerian ring (42) awful bag (43) fiberglass piano (44) midsize new camera (45) walking yellow earring (46) whittling indigo box (47) awful trash can (48) indigo shirt (49) wool prismlike trash can (50) prismlike car key (51) whittling drill (52) massive marker (53) exercise aqua car (54) turkish chair (55) leather circular camera (56) prismlike key (57) awful thai ruler (58) paper rectangular book (59) small bird (60) nice ethiopian clock (61) awful russian ruler (62) paper circular jar (63) hiking teal spoon (64) ridiculous bicycle (65) russian table (66) brown nice brand-new shirt (67) exercise aqua dog\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) leather prismlike nice russian huge archaic bowl\n(B) pink wonderful turkish midsize new steel triangular book\n(C) drinking aqua wonderful german tiny old pyramidal shoe\n(D) rubber awful brazilian small ancient pink walking hat\n(E) terrible german small old leather prismlike banana\n(F) pyramidal wool mysterious indian normal-size new bed\n(G) eating red good japanese large new bag\n(H) driving black good pakistani enormous ancient pyramidal rubber bicycle\n(I) wonderful congolese huge old spherical rubber knife\n(J) brown repulsive thai little brand-new square plastic car key\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "9db84737183649f099338bb0cb38918c6f11c85544a4478e490b5f26e1daffde",
    "id": "bbeh:hyperbaton:075",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) awful canvas (2) repulsive car key (3) spherical stapler (4) walking bag (5) awful pyramidal earring (6) old-fashioned ethiopian scissors (7) teal cardboard clock (8) walking drill (9) massive toolbox (10) maroon cup (11) indigo guitar (12) wool lamp (13) indigo hammer (14) mysterious triangular guitar (15) prismlike wallet (16) awful pyramidal box (17) terrible circular candle (18) blue wood chair (19) white fiberglass plier (20) silly prismlike watch (21) awful triangular sunglasses (22) german camera (23) wool trash can (24) driving house (25) ancient knife (26) rectangular chair (27) indigo vase (28) terrible triangular marker (29) ancient lamp (30) huge fire extinguisher (31) gray fiberglass car (32) big screwdriver (33) yellow cardboard key (34) pyramidal car key (35) ridiculous ball (36) archaic bangladeshi screwdriver (37) walking plier (38) magenta bag (39) brown glass sofa (40) old indonesian sofa (41) brand-new bird (42) archaic flower pot (43) wood lamp (44) new iranian book (45) teal cardboard piano (46) good ruler (47) circular watch (48) red plastic toolbox (49) normal-size pen (50) brazilian chair (51) old chair (52) leather jar (53) snorkeling house (54) maroon necklace (55) old-fashioned ring (56) new turkish hat (57) driving huge camera (58) spherical bag (59) circular guitar (60) pyramidal hat (61) chinese jar (62) terrible bowl (63) rectangular sunglasses (64) archaic table (65) archaic chinese key (66) obnoxious rectangular stapler (67) pyramidal calculator (68) indigo lamp (69) gray wool spoon (70) midsize repulsive wool wrench (71) repulsive camera (72) wonderful stapler (73) wonderful prismlike scissors (74) lovely circular flower pot (75) typing prismlike indigo earring (76) nice bed (77) terrible circular wrench (78) nice car key (79) cloth dog (80) repulsive circular sofa (81) enormous pencil (82) silly table (83) drinking massive camera (84) old trash can (85) ridiculous square pen (86) ancient fire extinguisher (87) awful fork (88) hiking huge piano (89) good shoe (90) snorkeling ruler (91) good bowl (92) circular wrench (93) triangular scissors (94) old dog (95) aqua knife (96) whittling little sunglasses (97) normal-size watch (98) whittling chair (99) leather table (100) snorkeling little speaker (101) repulsive rectangular pen (102) black cloth ruler (103) ridiculous brush (104) glass scissors (105) hiking little spoon (106) enormous table (107) square car key (108) triangular shirt (109) snorkeling normal-size plate (110) terrible spherical drill (111) rubber hammer (112) obnoxious circular brush (113) wool bicycle (114) eating enormous flower pot (115) drinking medium-size table (116) old-fashioned house (117) triangular canvas (118) yellow wool hammer (119) crimson ruler (120) brand-new indian plier (121) little canvas (122) iron piano (123) old-fashioned indonesian necklace (124) old flower pot (125) mysterious bag (126) brand-new turkish box (127) ancient american ring (128) indigo plastic toolbox (129) whittling enormous calculator (130) smoking huge pencil (131) white wrench (132) midsize drill (133) wonderful necklace (134) eating midsize knife (135) yellow bottle (136) german clock (137) cloth vase (138) egyptian speaker (139) american drill (140) walking sunglasses (141) egyptian screwdriver (142) smoking large shoe (143) fiberglass ring (144) cloth pen (145) bangladeshi fork (146) brand-new indian fork (147) yellow trash can (148) rectangular scissors (149) brand-new pakistani key (150) repulsive shoe (151) russian car key (152) repulsive guitar (153) brand-new nigerian ball (154) mysterious circular sunglasses (155) german stapler (156) square hat (157) pakistani drill (158) wood book\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) tiny ridiculous prismlike brown iron old iranian bowl\n(B) wonderful prismlike yellow iron turkish old umbrella\n(C) indian old-fashioned silly square red paper big guitar\n(D) ancient vietnamese lovely square blue paper midsize driving clock\n(E) archaic iranian good rectangular yellow plastic massive house\n(F) vietnamese old-fashioned silly rectangular pink cloth brush\n(G) obnoxious triangular magenta leather new japanese fork\n(H) german ancient awful pyramidal indigo wool normal-size drinking earring\n(I) ancient congolese ridiculous triangular green glass screwdriver\n(J) eating enormous ridiculous pyramidal brown glass jar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "03141609ee1b38fa9dbc304386ad374468adc57aa482ae68c20ab251776dc292",
    "id": "bbeh:hyperbaton:076",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) cardboard chinese table (2) awful bowl (3) drinking ruler (4) fiberglass spoon (5) white midsize ball (6) little apple (7) cloth box (8) german hat (9) new canvas (10) green normal-size table (11) wood congolese bed (12) tiny bird (13) typing rectangular car key (14) midsize box (15) old-fashioned lovely banana (16) ancient repulsive ruler (17) brand-new ridiculous knife (18) new awful cup (19) archaic bed (20) filipino shirt (21) violet spoon (22) iron american camera (23) awful lamp (24) massive pen (25) exercise bicycle (26) medium-size bowl (27) vietnamese shirt (28) mysterious table (29) brand-new trash can (30) drinking trash can (31) plastic filipino wallet (32) new toolbox (33) cloth drill (34) wood congolese sunglasses (35) hiking circular bed (36) normal-size lamp (37) iron vietnamese jar (38) old candle (39) violet little vase (40) ancient bowl (41) eating pyramidal bird (42) driving pyramidal bottle (43) archaic umbrella (44) square house (45) fiberglass japanese guitar (46) hiking toolbox (47) midsize vase (48) smoking flower pot (49) filipino sunglasses (50) black car (51) glass lamp (52) obnoxious piano (53) smoking ruler (54) teal normal-size stapler (55) ancient earring (56) ancient repulsive bowl (57) old-fashioned repulsive bowl (58) leather turkish drill (59) ancient wrench (60) german ring (61) triangular plate (62) hiking prismlike bicycle (63) enormous candle (64) cloth nigerian sofa (65) square screwdriver (66) square apple (67) teal tiny jar (68) cardboard vietnamese lamp (69) crimson small vase (70) mysterious apple (71) cardboard japanese necklace (72) cardboard car (73) cardboard jar (74) teal small canvas (75) nigerian wallet (76) steel table (77) gray tiny box (78) whittling pyramidal spoon (79) old-fashioned silly guitar (80) driving circular box (81) new good spoon (82) typing prismlike guitar (83) gray small ruler (84) square piano (85) large bowl (86) teal good rubber plier (87) normal-size shoe (88) ethiopian guitar (89) wood nigerian watch (90) big old russian bag (91) ridiculous hat (92) cloth japanese brush (93) cloth candle (94) cloth indian clock (95) new good flower pot (96) white house (97) white huge ball (98) pink bed (99) hiking spherical shoe (100) fiberglass shoe (101) big house (102) repulsive chair (103) ancient repulsive speaker (104) midsize wallet (105) exercise saw (106) pakistani bed (107) prismlike ring (108) little wrench (109) pakistani ball (110) driving pyramidal fork (111) fiberglass egyptian cup (112) old ridiculous bed (113) violet large hammer (114) small watch (115) ethiopian bed (116) steel canvas (117) exercise square cup (118) pakistani ring (119) hiking pyramidal dog (120) old-fashioned shirt (121) violet massive speaker (122) massive wallet (123) eating rectangular plate (124) drinking piano (125) prismlike banana (126) fiberglass iranian clock (127) smoking rectangular piano (128) repulsive drill (129) red massive sunglasses (130) ethiopian speaker (131) drinking cup (132) pyramidal hat (133) aqua shirt (134) enormous earring (135) tiny earring (136) brazilian book (137) big lamp (138) archaic key (139) drinking book (140) drinking rectangular ring (141) violet umbrella (142) gray big sunglasses (143) large drill (144) steel saw (145) magenta enormous apple (146) enormous screwdriver (147) teal marker (148) brown big ball (149) brand-new good bowl (150) wool indonesian sunglasses (151) yellow huge shoe (152) thai candle (153) black watch (154) white small fork (155) red small pen (156) indigo sunglasses (157) filipino camera (158) mysterious clock (159) wood bangladeshi calculator (160) wood chinese clock (161) driving triangular spoon (162) teal bicycle (163) new banana (164) typing pencil (165) crimson necklace (166) german book (167) leather house (168) driving square necklace (169) wood american plier (170) bangladeshi ball (171) ridiculous chair (172) driving rectangular piano (173) brand-new terrible bed (174) fiberglass japanese banana (175) fiberglass bangladeshi scissors (176) crimson tiny table (177) rectangular ruler (178) nice apple (179) smoking key (180) wonderful banana (181) walking bed (182) exercise sofa (183) new calculator (184) walking calculator (185) brand-new wrench (186) iranian speaker (187) snorkeling rectangular flower pot (188) leather speaker (189) good wallet (190) hiking prismlike piano (191) brand-new necklace (192) iranian ball (193) hiking spherical box (194) plastic trash can (195) good bowl (196) smoking pyramidal knife (197) indigo midsize bottle (198) turkish calculator (199) nice fire extinguisher (200) leather spoon (201) violet massive umbrella (202) gray house (203) awful candle (204) leather book (205) green midsize scissors (206) violet large bag (207) medium-size earring (208) brand-new guitar (209) ancient terrible calculator (210) pakistani plate (211) egyptian book (212) hiking square chair (213) wool spoon (214) fiberglass congolese plier (215) small plate (216) chinese dog (217) green small hammer (218) cloth chinese guitar (219) spherical apple (220) black bowl (221) crimson banana (222) cloth calculator (223) iron plate (224) old-fashioned car (225) teal fire extinguisher (226) medium-size watch (227) circular ring (228) lovely speaker (229) old-fashioned fire extinguisher (230) new lovely bowl (231) brand-new wonderful saw (232) paper nigerian box (233) old camera (234) cloth nigerian pencil (235) white midsize earring (236) old bed\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) ancient terrible paper american walking square necklace\n(B) pyramidal typing new good steel american tiny bird\n(C) typing new repulsive steel brazilian massive violet hat\n(D) violet midsize ancient lovely wood mexican camera\n(E) big brand-new awful plastic german snorkeling triangular speaker\n(F) triangular drinking archaic silly rubber filipino marker\n(G) teal little old mysterious steel iranian triangular bowl\n(H) medium-size new nice steel german square snorkeling vase\n(I) spherical smoking new good fiberglass ethiopian tiny yellow car\n(J) smoking triangular old-fashioned terrible cloth vietnamese little aqua fork\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "cbb34e8bd75f161ccc72f22c5372ee647911fa304ef50666477bd4081125ed7d",
    "id": "bbeh:hyperbaton:086",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) maroon canvas (2) awful wool book (3) bangladeshi car key (4) snorkeling key (5) tiny hat (6) whittling car (7) indian pen (8) medium-size bicycle (9) new house (10) big driving spoon (11) square clock (12) spherical mexican plier (13) large snorkeling marker (14) rectangular spoon (15) archaic canvas (16) magenta bowl (17) driving pen (18) driving necklace (19) large plier (20) old-fashioned maroon sofa (21) enormous ruler (22) medium-size vase (23) archaic cyan car (24) congolese watch (25) american ball (26) brand-new violet jar (27) silly paper toolbox (28) ridiculous plier (29) wonderful leather bag (30) prismlike vietnamese table (31) brand-new black car (32) large snorkeling umbrella (33) big plier (34) gray saw (35) old banana (36) triangular chinese chair (37) rectangular brazilian hat (38) snorkeling stapler (39) massive bowl (40) pyramidal watch (41) gray bird (42) rubber earring (43) cardboard brush (44) midsize eating bottle (45) repulsive clock (46) new red hammer (47) ancient banana (48) rectangular pakistani trash can (49) normal-size driving toolbox (50) medium-size flower pot (51) rectangular candle (52) nice plier (53) normal-size piano (54) white flower pot (55) new calculator (56) old-fashioned white scissors (57) nigerian jar (58) prismlike vietnamese marker (59) awful bed (60) ancient pencil (61) whittling shirt (62) enormous driving bed (63) obnoxious drill (64) plastic clock (65) massive drinking plate (66) medium-size driving cup (67) lovely trash can (68) archaic plate (69) mysterious paper necklace (70) midsize canvas (71) old pink jar (72) rectangular speaker (73) medium-size eating screwdriver (74) repulsive rubber shirt (75) little pencil (76) archaic fire extinguisher (77) circular speaker (78) awful vase (79) teal bicycle (80) american speaker (81) chinese dog (82) rectangular house (83) terrible iron clock (84) repulsive paper bag (85) good wool key (86) smoking calculator (87) pyramidal vietnamese screwdriver (88) white pyramidal snorkeling guitar (89) pyramidal german bed (90) tiny driving wrench (91) square brush (92) iron watch (93) brand-new cyan sunglasses (94) brand-new house (95) lovely wool stapler (96) repulsive wood sunglasses (97) turkish wallet (98) pakistani bed (99) brand-new box (100) rectangular ruler (101) small bag (102) bangladeshi plier (103) ridiculous cardboard marker (104) silly cloth table (105) prismlike saw (106) archaic teal marker (107) typing clock (108) lovely fiberglass scissors (109) ancient congolese big toolbox (110) medium-size ring (111) lovely cup (112) prismlike vase (113) japanese sofa (114) archaic blue jar (115) large smoking bed (116) old-fashioned hat (117) enormous walking candle (118) brand-new green toolbox (119) aqua plate (120) glass calculator (121) spherical japanese car (122) steel speaker (123) terrible iron bicycle (124) smoking lamp (125) white apple (126) eating fork (127) thai box (128) fiberglass banana (129) tiny smoking stapler (130) good fiberglass watch (131) large eating lamp (132) drinking sunglasses (133) tiny hammer (134) magenta stapler (135) lovely fiberglass bag (136) ancient chair (137) huge snorkeling plate (138) rectangular nigerian car key (139) repulsive umbrella (140) old pink apple\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) ridiculous pyramidal filipino huge exercise magenta brand-new chair\n(B) old-fashioned white square filipino huge eating fiberglass good bag\n(C) rectangular american big typing obnoxious rubber fork\n(D) archaic cyan spherical japanese massive snorkeling lamp\n(E) rubber awful prismlike pakistani huge drinking table\n(F) pink triangular congolese medium-size exercise iron terrible hammer\n(G) rubber good prismlike russian tiny walking pink shoe\n(H) awful steel triangular brazilian tiny hiking knife\n(I) repulsive rubber spherical indonesian normal-size eating crimson hat\n(J) triangular brazilian small hiking cardboard wonderful trash can\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "98f3e85ae5b75a726800ab9b699b2dd64343c6af1648f24b4e43ec2294d59bdd",
    "id": "bbeh:hyperbaton:088",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) new shirt (2) thai car (3) snorkeling earring (4) huge magenta ring (5) pakistani jar (6) midsize maroon bag (7) glass dog (8) plastic brand-new guitar (9) medium-size saw (10) whittling wood wonderful jar (11) nigerian ruler (12) german pen (13) eating vase (14) terrible shoe (15) exercise scissors (16) american snorkeling wrench (17) medium-size pink chair (18) silly plier (19) enormous shirt (20) circular ridiculous flower pot (21) ethiopian exercise spoon (22) american apple (23) snorkeling stapler (24) triangular sunglasses (25) brand-new watch (26) triangular vase (27) new scissors (28) square repulsive dog (29) cyan screwdriver (30) blue marker (31) brand-new bed (32) large brown fire extinguisher (33) rectangular silly bag (34) steel jar (35) mysterious sofa (36) little white screwdriver (37) enormous teal camera (38) cyan candle (39) gray stapler (40) brazilian eating calculator (41) russian whittling screwdriver (42) turkish piano (43) new dog (44) huge calculator (45) square ridiculous scissors (46) triangular house (47) pyramidal wonderful trash can (48) nice bed (49) russian clock (50) steel old-fashioned screwdriver (51) old bird (52) egyptian toolbox (53) terrible car key (54) ridiculous plier (55) wood umbrella (56) wool brand-new spoon (57) big banana (58) pyramidal spoon (59) medium-size black bed (60) old-fashioned cup (61) iron speaker (62) old pen (63) massive plier (64) triangular hat (65) aqua hat (66) spherical wonderful book (67) fiberglass archaic banana (68) archaic umbrella (69) plastic key (70) prismlike good earring (71) driving marker (72) glass old brush (73) mysterious ring (74) german walking jar (75) prismlike sunglasses (76) blue car key (77) huge maroon bird (78) medium-size aqua pen (79) midsize calculator (80) german whittling pencil (81) cloth old bag (82) silly bicycle (83) ancient toolbox (84) typing spoon (85) repulsive speaker (86) wool calculator (87) steel brand-new fire extinguisher (88) rectangular umbrella (89) awful bag (90) pyramidal obnoxious car (91) cloth clock (92) wool ancient ball (93) american typing bird (94) red spoon (95) glass brand-new pencil (96) spherical ridiculous cup (97) cyan hat (98) plastic old hammer (99) little apple (100) teal hat (101) terrible chair (102) hiking watch (103) glass ancient vase (104) typing calculator (105) rubber archaic toolbox (106) indigo trash can (107) brand-new car key (108) awful table (109) cardboard speaker (110) iranian bowl (111) exercise piano (112) paper banana (113) leather ancient house (114) huge vase (115) rubber fork (116) steel spoon (117) small green car key (118) rubber plate (119) pakistani piano (120) crimson knife (121) plastic old bicycle (122) pyramidal ridiculous banana (123) american walking wrench (124) brazilian car (125) terrible hat (126) green bottle (127) aqua piano (128) typing fork (129) awful shoe (130) big saw (131) plastic drill (132) steel umbrella (133) cyan chair (134) steel sofa (135) cloth new canvas (136) obnoxious candle (137) cloth pen (138) prismlike wonderful drill (139) prismlike nice jar (140) drinking table (141) japanese snorkeling wrench (142) chinese bed (143) triangular lovely chair (144) pakistani new rectangular wrench (145) snorkeling dog (146) mexican piano (147) snorkeling sunglasses (148) midsize magenta key (149) driving apple (150) mysterious shirt (151) iranian car key (152) prismlike pencil (153) repulsive toolbox (154) brazilian hiking speaker (155) plastic archaic bicycle (156) massive indigo wallet (157) congolese sofa (158) nice flower pot (159) eating piano (160) new necklace (161) wool shirt (162) thai whittling ruler (163) big aqua necklace (164) square necklace (165) indian fire extinguisher (166) fiberglass brand-new car (167) pyramidal bag (168) old-fashioned fork (169) midsize toolbox (170) plastic fire extinguisher (171) ethiopian hiking guitar (172) good brush (173) cardboard old guitar (174) congolese necklace (175) aqua shirt (176) tiny car key (177) prismlike wonderful ring (178) prismlike lamp (179) large yellow toolbox (180) ridiculous trash can (181) old shoe (182) brown bag (183) leather archaic umbrella (184) nice car (185) massive drill (186) pyramidal bed (187) pyramidal silly spoon (188) massive brown brush (189) wonderful bicycle (190) hiking chair (191) mysterious pen (192) medium-size plate (193) crimson ring (194) midsize indigo camera (195) whittling drill (196) white sofa (197) triangular flower pot (198) old-fashioned spoon (199) rubber house (200) bangladeshi exercise dog (201) medium-size clock (202) walking toolbox (203) rubber new car (204) triangular obnoxious trash can (205) leather old-fashioned lamp (206) fiberglass new ruler (207) triangular marker (208) smoking pencil (209) cardboard dog\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) white normal-size leather brand-new circular repulsive whittling ethiopian hat\n(B) indonesian eating plastic old-fashioned pyramidal repulsive car key\n(C) white normal-size plastic new circular obnoxious whittling sunglasses\n(D) white steel brand-new pyramidal mysterious smoking nigerian vase\n(E) massive red steel archaic rectangular lovely smoking ethiopian vase\n(F) egyptian smoking rubber ancient triangular mysterious indigo big flower pot\n(G) ethiopian snorkeling glass old-fashioned prismlike wonderful tiny red umbrella\n(H) egyptian hiking leather old prismlike awful large candle\n(I) indonesian drinking wool old-fashioned square ridiculous black wrench\n(J) rubber old-fashioned rectangular nice brown enormous table\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "d55eebb9f09c723658591ad33ce95102aabd2f087575796ede21b1302697818f",
    "id": "bbeh:hyperbaton:098",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) new apple (2) midsize vase (3) black medium-size terrible bed (4) teal ball (5) silly pencil (6) medium-size iranian watch (7) medium-size trash can (8) massive stapler (9) new good saw (10) pakistani banana (11) big plier (12) snorkeling table (13) good calculator (14) typing cyan bag (15) old nice speaker (16) walking shoe (17) smoking key (18) white piano (19) brazilian camera (20) smoking shoe (21) ridiculous wallet (22) hiking earring (23) archaic saw (24) square wallet (25) triangular wood shirt (26) brand-new guitar (27) midsize flower pot (28) lovely bicycle (29) old-fashioned silly guitar (30) ancient nice calculator (31) triangular table (32) new awful stapler (33) new ridiculous house (34) prismlike chair (35) congolese fire extinguisher (36) new key (37) large bangladeshi wrench (38) typing candle (39) big bag (40) prismlike cardboard shoe (41) large shoe (42) big brazilian table (43) prismlike bag (44) spherical pencil (45) nice bird (46) wood bowl (47) prismlike flower pot (48) mexican key (49) tiny book (50) magenta earring (51) rectangular glass drill (52) new lovely scissors (53) square fiberglass jar (54) leather marker (55) normal-size german dog (56) old vase (57) teal plate (58) exercise brown guitar (59) triangular paper knife (60) old-fashioned obnoxious screwdriver (61) congolese umbrella (62) green camera (63) old-fashioned candle (64) enormous bag (65) prismlike wood apple (66) brazilian speaker (67) brand-new awful umbrella (68) spherical ring (69) aqua jar (70) spherical sofa (71) enormous spoon (72) archaic candle (73) tiny banana (74) spherical shoe (75) walking umbrella (76) german jar (77) terrible box (78) triangular plastic book (79) drinking black calculator (80) old obnoxious candle (81) circular piano (82) archaic bowl (83) hiking black hat (84) chinese sunglasses (85) typing trash can (86) white shirt (87) iron plier (88) enormous iranian dog (89) whittling vietnamese archaic fork (90) green car key (91) new terrible bicycle (92) rubber earring (93) nice chair (94) fiberglass umbrella (95) smoking indigo banana (96) good saw (97) whittling yellow ruler (98) old-fashioned repulsive ball (99) red pencil (100) drinking book (101) massive ethiopian chair (102) archaic toolbox (103) pyramidal drill (104) iron key (105) old repulsive toolbox (106) old-fashioned saw (107) archaic mysterious wrench (108) hiking maroon ball\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) leather rectangular tiny mexican new mysterious yellow drinking guitar\n(B) rubber enormous egyptian archaic lovely indigo smoking dog\n(C) circular wool small bangladeshi old-fashioned good calculator\n(D) teal enormous pakistani brand-new lovely glass rectangular dog\n(E) exercise red normal-size vietnamese old lovely lamp\n(F) pyramidal large bangladeshi brand-new awful crimson snorkeling car key\n(G) huge japanese old-fashioned awful iron pyramidal ring\n(H) glass square medium-size brazilian ancient silly pink fork\n(I) circular steel large pakistani archaic silly blue exercise bed\n(J) huge german archaic lovely spherical leather clock\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "8d8416caca26811348f35aa90476d584f95fc48b75095f3446414d6b70110a2b",
    "id": "bbeh:hyperbaton:100",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) exercise egyptian shoe (2) old piano (3) eating banana (4) lovely huge bicycle (5) lovely candle (6) small apple (7) terrible normal-size necklace (8) wonderful gray driving bicycle (9) paper black shirt (10) snorkeling indian calculator (11) repulsive bag (12) smoking mexican vase (13) snorkeling ring (14) nice enormous pencil (15) triangular banana (16) walking mexican car key (17) silly massive candle (18) lovely normal-size knife (19) exercise jar (20) good screwdriver (21) ridiculous bed (22) midsize iron mexican jar (23) paper blue car (24) driving chinese sofa (25) brand-new calculator (26) square bed (27) brown canvas (28) ethiopian sunglasses (29) terrible guitar (30) small earring (31) indonesian dog (32) awful speaker (33) rectangular shoe (34) big vase (35) iron bowl (36) eating house (37) blue earring (38) black camera (39) huge cup (40) square car key (41) archaic circular speaker (42) ancient hat (43) indonesian lamp (44) exercise brush (45) brand-new triangular fire extinguisher (46) cloth banana (47) normal-size lamp (48) new rectangular cup (49) snorkeling american spoon (50) spherical saw (51) typing shoe (52) whittling book (53) circular bird (54) indonesian key (55) magenta bowl (56) german sofa (57) egyptian ruler (58) teal plate (59) cyan dog (60) snorkeling chinese jar (61) steel black pencil (62) paper banana (63) brand-new jar (64) tiny earring (65) repulsive large wallet (66) paper pink vase (67) wonderful candle (68) old-fashioned necklace (69) magenta house (70) paper violet clock (71) blue umbrella (72) leather pink bottle (73) square guitar (74) ethiopian car key (75) tiny umbrella\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) good large leather red hiking german brand-new key\n(B) circular glass pink hiking mexican little repulsive saw\n(C) triangular old-fashioned iron pink eating turkish midsize canvas\n(D) old cardboard black snorkeling nigerian large terrible fork\n(E) terrible midsize cloth green walking american old pyramidal box\n(F) awful tiny glass yellow smoking bangladeshi wrench\n(G) lovely little plastic red drinking american pyramidal bowl\n(H) old pyramidal leather violet whittling turkish chair\n(I) ancient rectangular steel violet eating mexican normal-size wonderful watch\n(J) medium-size plastic white walking bangladeshi old rectangular hat\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "9692c7278c326835d8b5e6445fb8a51df8cb7df3570fbd00b92e2dc414ec8ebb",
    "id": "bbeh:hyperbaton:101",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) magenta old-fashioned clock (2) old-fashioned book (3) large sunglasses (4) old car key (5) archaic bird (6) nice house (7) typing canvas (8) pakistani lovely scissors (9) red archaic stapler (10) whittling medium-size speaker (11) plastic fire extinguisher (12) hiking car key (13) rectangular dog (14) chinese pencil (15) cardboard drill (16) brazilian repulsive ruler (17) teal archaic saw (18) whittling apple (19) snorkeling midsize necklace (20) good dog (21) little plier (22) glass brush (23) old umbrella (24) plastic ball (25) aqua canvas (26) iron rectangular saw (27) green cup (28) black old candle (29) iranian screwdriver (30) cardboard wrench (31) indigo clock (32) old shirt (33) snorkeling massive ruler (34) bangladeshi ridiculous wrench (35) whittling tiny necklace (36) old canvas (37) russian awful umbrella (38) drinking huge ruler (39) russian wonderful car key (40) snorkeling ruler (41) violet guitar (42) smoking little dog (43) large table (44) iron circular plier (45) huge calculator (46) aqua old shirt (47) silly key (48) egyptian lovely marker (49) nigerian archaic exercise drill (50) green spoon (51) walking camera (52) wool circular pencil (53) nigerian wonderful car key (54) hiking stapler (55) old-fashioned knife (56) german obnoxious wrench (57) cyan ancient saw (58) big camera (59) driving brush (60) repulsive stapler (61) walking enormous bed (62) exercise big chair (63) walking earring (64) hiking knife (65) enormous chair (66) aqua brand-new shoe (67) snorkeling normal-size spoon (68) old stapler (69) triangular trash can (70) teal bag (71) paper earring (72) rectangular bed (73) green old knife (74) eating tiny chair (75) iron square chair (76) driving earring (77) old-fashioned key (78) repulsive gray medium-size calculator (79) egyptian plier (80) enormous umbrella (81) wonderful chair (82) violet new jar (83) teal pen (84) cloth plier (85) indonesian silly chair (86) brand-new speaker (87) circular key (88) old screwdriver (89) thai terrible ruler (90) brown bird (91) old-fashioned ball (92) hiking small car key (93) japanese banana (94) wood umbrella (95) rubber screwdriver (96) brazilian bag (97) wool car (98) vietnamese car key (99) medium-size apple (100) black table (101) wood screwdriver (102) typing vase (103) russian nice bicycle (104) tiny umbrella (105) cardboard pyramidal house (106) cardboard rectangular spoon (107) rubber prismlike sofa (108) wood cup (109) ancient ring (110) fiberglass pyramidal lamp (111) cloth watch (112) leather rectangular apple (113) typing stapler (114) filipino lovely plate (115) wonderful book (116) old-fashioned watch (117) red old book (118) fiberglass circular shirt (119) walking bottle (120) new pencil (121) triangular fire extinguisher (122) snorkeling screwdriver (123) exercise lamp (124) smoking sofa (125) rectangular flower pot (126) normal-size table (127) tiny scissors (128) driving car (129) prismlike bottle (130) wonderful car (131) prismlike hat (132) magenta scissors (133) iranian bowl\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) german terrible pink ancient walking medium-size prismlike vase\n(B) japanese ridiculous white ancient snorkeling large glass fork\n(C) congolese ridiculous indigo brand-new drinking small banana\n(D) wonderful yellow ancient eating massive spherical steel pen\n(E) square indigo ancient hiking normal-size good iranian flower pot\n(F) filipino obnoxious magenta old-fashioned walking small triangular cardboard drill\n(G) bangladeshi silly cyan brand-new smoking normal-size cloth prismlike scissors\n(H) paper rectangular teal archaic whittling large silly sofa\n(I) teal archaic eating massive paper square trash can\n(J) rubber prismlike brown ancient exercise tiny fire extinguisher\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "c2e9b5454c1b4197b9d01431949606657dad7874051ccea492553afe57ba1e28",
    "id": "bbeh:hyperbaton:105",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) cyan table (2) old-fashioned normal-size screwdriver (3) archaic toolbox (4) good shirt (5) little earring (6) exercise jar (7) mysterious bag (8) walking hammer (9) circular snorkeling drill (10) prismlike fork (11) spherical walking scissors (12) nice bag (13) iron house (14) blue candle (15) fiberglass speaker (16) fiberglass key (17) steel indian plate (18) ancient large ball (19) old large canvas (20) triangular cup (21) pyramidal whittling bowl (22) brand-new small bird (23) repulsive car (24) massive knife (25) prismlike sunglasses (26) rectangular walking table (27) pyramidal smoking shoe (28) circular banana (29) lovely candle (30) brown pencil (31) blue apple (32) pyramidal shirt (33) brand-new little speaker (34) ethiopian screwdriver (35) snorkeling dog (36) nice lamp (37) rectangular indian ancient shirt (38) crimson hat (39) normal-size bowl (40) spherical apple (41) ancient dog (42) violet good ball (43) magenta awful sunglasses (44) prismlike table (45) cardboard japanese clock (46) good screwdriver (47) old-fashioned bowl (48) large hat (49) old-fashioned speaker (50) obnoxious clock (51) iron marker (52) obnoxious vase (53) brand-new spoon (54) archaic screwdriver (55) glass pakistani fork (56) square car key (57) enormous car key (58) old watch (59) red lovely pencil (60) indigo lovely fork (61) circular plate (62) green nice wallet (63) iranian knife (64) pyramidal umbrella (65) old-fashioned bed (66) large piano (67) brand-new plate (68) magenta car (69) aqua marker (70) lovely clock (71) vietnamese cup (72) congolese speaker (73) gray key (74) medium-size calculator (75) rubber iranian guitar (76) cloth filipino key (77) teal bowl (78) prismlike eating dog (79) rectangular snorkeling box (80) big wallet (81) enormous key (82) wool shirt (83) nice ring (84) circular hiking spoon (85) bangladeshi bird (86) old bicycle (87) medium-size speaker (88) brand-new guitar (89) gray lamp (90) magenta canvas (91) fiberglass nigerian hat (92) old huge earring (93) glass thai sofa (94) old-fashioned calculator (95) iron mexican bowl (96) pink good speaker (97) leather turkish sofa (98) obnoxious shoe (99) steel scissors (100) leather clock (101) eating jar (102) archaic piano (103) normal-size ball (104) ancient big umbrella (105) enormous shirt (106) terrible banana (107) square drill (108) mysterious brush (109) ancient big stapler (110) steel banana (111) good clock (112) medium-size ruler (113) ancient big ring (114) whittling bicycle (115) awful canvas (116) magenta lamp (117) yellow silly banana (118) black flower pot (119) black nice ring (120) triangular hiking sofa (121) driving marker (122) lovely watch (123) brand-new candle (124) snorkeling ring (125) huge car key (126) circular piano (127) cardboard indonesian bicycle (128) archaic little sofa (129) triangular hiking scissors (130) cardboard nigerian shirt (131) magenta lovely stapler (132) teal lovely hat (133) magenta ridiculous calculator (134) drinking paper huge piano (135) cardboard brazilian wallet (136) pink wonderful plier (137) rubber shirt (138) teal screwdriver (139) iron russian dog (140) iron bowl (141) square jar (142) magenta ridiculous wrench (143) gray guitar (144) spherical driving saw (145) wool turkish pencil (146) old-fashioned marker (147) silly necklace (148) good ring (149) wool iranian box (150) pink lamp (151) teal mysterious pen (152) aqua terrible ruler (153) new apple (154) awful ring (155) leather wallet (156) steel box (157) big saw (158) pakistani scissors (159) new flower pot (160) crimson silly bag (161) new normal-size trash can (162) old-fashioned trash can (163) maroon lovely plate (164) plastic nigerian drill (165) ancient small ring (166) congolese scissors (167) cloth canvas (168) brand-new enormous bicycle (169) obnoxious umbrella (170) wool wallet (171) triangular pen (172) old sofa (173) massive fire extinguisher (174) german bowl (175) walking umbrella (176) pakistani brush (177) pink umbrella (178) wood guitar (179) thai house (180) triangular candle (181) white lovely fire extinguisher (182) spherical pencil\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) gray cloth thai old midsize typing spherical camera\n(B) prismlike exercise paper american old-fashioned tiny drill\n(C) lovely magenta leather bangladeshi archaic normal-size eating circular dog\n(D) pyramidal snorkeling wool chinese archaic huge pink car\n(E) lovely aqua fiberglass turkish new medium-size smoking bag\n(F) steel congolese ancient normal-size blue ridiculous key\n(G) steel indonesian old huge silly violet hat\n(H) good plastic japanese archaic massive walking circular knife\n(I) typing cardboard turkish new little mysterious teal camera\n(J) prismlike eating wood chinese ancient big wonderful clock\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "8dbe9b504f1e82e0659ccb73244c628dee33b5b02784649e22c36f50610cd5df",
    "id": "bbeh:hyperbaton:107",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) good pen (2) magenta fire extinguisher (3) exercise brush (4) indigo wallet (5) tiny toolbox (6) rectangular lamp (7) teal calculator (8) paper eating candle (9) black shirt (10) old smoking circular wallet (11) old book (12) silly hat (13) leather ruler (14) good apple (15) pyramidal car key (16) pyramidal bangladeshi fire extinguisher (17) blue drill (18) spherical cup (19) small bowl (20) terrible wallet (21) mexican knife (22) smoking trash can (23) japanese sunglasses (24) typing wallet (25) wool exercise toolbox (26) wood whittling candle (27) driving piano (28) crimson little car key (29) circular german speaker (30) paper exercise speaker (31) terrible piano (32) large piano (33) plastic eating brush (34) spherical wallet (35) old silly watch (36) green camera (37) blue shoe (38) old-fashioned plate (39) cyan huge lamp (40) old pencil (41) ridiculous banana (42) wonderful candle (43) ridiculous scissors (44) circular filipino bottle (45) ridiculous candle (46) cardboard key (47) cardboard walking fork (48) small screwdriver (49) rubber ring (50) plastic driving cup (51) red lamp (52) crimson box (53) old-fashioned drill (54) lovely wool vietnamese scissors (55) bangladeshi shirt (56) iron hiking dog (57) exercise speaker (58) pyramidal egyptian shirt (59) brand-new silly hat (60) drinking plate (61) nice toolbox (62) new repulsive wallet (63) cloth snorkeling watch (64) teal small lamp (65) cloth fire extinguisher (66) mysterious trash can (67) awful bag (68) square car (69) violet big sunglasses (70) new bowl (71) vietnamese umbrella (72) triangular table (73) paper umbrella (74) prismlike screwdriver (75) obnoxious umbrella (76) triangular calculator (77) archaic wonderful car (78) prismlike apple (79) little key (80) old-fashioned silly wrench (81) new repulsive ball (82) rectangular earring (83) massive chair (84) iranian necklace (85) russian dog (86) prismlike camera (87) snorkeling pencil (88) red tiny vase (89) brand-new trash can (90) archaic chair (91) prismlike japanese necklace (92) blue dog (93) crimson medium-size drill (94) gray umbrella (95) steel drinking trash can (96) steel drinking guitar (97) cloth driving sofa (98) prismlike bowl (99) cardboard snorkeling fire extinguisher (100) cloth hiking necklace (101) wood walking plier (102) ancient mysterious earring (103) whittling bird (104) ancient mysterious knife (105) large bicycle (106) old mysterious book (107) rectangular bird (108) new wallet (109) big cup (110) chinese ruler (111) bangladeshi umbrella (112) large table (113) iron umbrella (114) enormous watch (115) leather wallet (116) circular russian bird (117) pyramidal vase (118) aqua tiny shoe (119) brand-new watch (120) plastic snorkeling shoe (121) iranian vase (122) red massive watch (123) ancient bag (124) congolese watch (125) wonderful screwdriver (126) spherical banana (127) smoking fork (128) aqua normal-size scissors (129) midsize hammer (130) midsize scissors (131) steel hiking candle (132) old lovely calculator (133) wood drinking earring (134) bangladeshi marker (135) circular brazilian house (136) old ridiculous ring (137) rectangular nigerian marker (138) violet sunglasses (139) enormous dog\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) old good cloth whittling circular mexican ball\n(B) medium-size teal rubber typing triangular indonesian banana\n(C) wool drinking circular brazilian violet big marker\n(D) nice cardboard typing rectangular pakistani enormous magenta fork\n(E) white large wood drinking pyramidal turkish ruler\n(F) mysterious wood drinking circular thai red large ring\n(G) old silly leather drinking circular turkish brown clock\n(H) blue huge plastic smoking prismlike pakistani nice guitar\n(I) red medium-size cardboard walking triangular ethiopian wonderful ancient bottle\n(J) rubber typing pyramidal brazilian massive indigo lamp\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "08026f33cec0e655457b9a579a4baf18144b29c0f42e1081c04024de4f09beee",
    "id": "bbeh:hyperbaton:115",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) triangular wallet (2) mexican book (3) cardboard saw (4) egyptian small drill (5) mexican box (6) teal circular necklace (7) ancient watch (8) japanese tiny calculator (9) wood pencil (10) drinking drill (11) iranian bird (12) archaic bag (13) plastic lovely earring (14) pyramidal shoe (15) smoking box (16) spherical brush (17) nice shirt (18) drinking bag (19) plastic speaker (20) wonderful watch (21) rubber ring (22) medium-size piano (23) mexican sofa (24) old-fashioned snorkeling shoe (25) terrible ball (26) wool wrench (27) mysterious plate (28) green pyramidal lamp (29) japanese midsize knife (30) silly book (31) enormous plier (32) brand-new bottle (33) huge necklace (34) big jar (35) chinese hammer (36) hiking car key (37) rubber mysterious trash can (38) old-fashioned dog (39) new saw (40) ancient exercise table (41) steel guitar (42) aqua camera (43) filipino plate (44) ancient walking saw (45) aqua spherical stapler (46) iron good camera (47) huge ball (48) leather ridiculous bicycle (49) crimson triangular wrench (50) huge fire extinguisher (51) cardboard silly dog (52) huge earring (53) old chair (54) midsize hammer (55) archaic lamp (56) indian normal-size fork (57) pink bicycle (58) new smoking dog (59) little bird (60) congolese camera (61) square ball (62) walking paper large umbrella (63) typing watch (64) yellow toolbox (65) big saw (66) brand-new drinking drill (67) enormous vase (68) cyan triangular toolbox (69) old-fashioned book (70) yellow spherical wallet (71) ancient snorkeling clock (72) red shirt (73) archaic bird (74) tiny drill (75) old hiking drill (76) awful scissors (77) paper ridiculous lamp (78) cardboard hat (79) violet bird (80) bangladeshi jar (81) thai plate (82) new typing ball (83) wood nice bag (84) walking clock (85) large trash can (86) cardboard vase (87) exercise key (88) lovely book (89) archaic walking car (90) old-fashioned hiking car (91) spherical chair (92) rubber awful plier (93) maroon square bag (94) archaic marker (95) chinese canvas (96) steel wonderful earring (97) turkish massive brush (98) brand-new whittling jar (99) prismlike bird (100) maroon rectangular earring (101) maroon toolbox (102) driving flower pot (103) ethiopian massive speaker (104) wonderful bottle (105) paper repulsive bottle (106) new exercise clock (107) midsize ruler (108) new scissors (109) red dog (110) ancient drill (111) chinese enormous hammer (112) wool canvas (113) square plier (114) square wrench (115) pink circular piano (116) cloth repulsive bowl (117) terrible saw (118) bangladeshi stapler (119) new smoking speaker (120) new fire extinguisher (121) old car key (122) iranian medium-size bowl (123) old awful chinese candle (124) blue pyramidal jar (125) archaic eating plate (126) congolese flower pot (127) old-fashioned bag (128) indian vase (129) yellow bird (130) exercise camera (131) pyramidal house (132) huge bag (133) cardboard silly box (134) massive bag (135) wool obnoxious watch (136) aqua pyramidal calculator (137) japanese knife (138) midsize guitar (139) terrible marker (140) walking shirt (141) yellow spherical apple (142) congolese saw (143) russian huge bird (144) ridiculous fire extinguisher (145) old-fashioned car key (146) filipino watch (147) prismlike stapler (148) magenta knife (149) pyramidal plate (150) glass awful cup (151) green spherical brush (152) snorkeling apple (153) prismlike car key (154) gray spherical apple (155) pakistani hat (156) turkish huge candle (157) paper toolbox (158) wonderful guitar (159) cyan knife (160) snorkeling plier (161) nice cup (162) driving jar (163) walking ring (164) terrible speaker (165) leather awful fork (166) indonesian big bottle (167) silly marker (168) brand-new smoking necklace (169) indigo triangular screwdriver (170) glass wonderful bicycle (171) indian massive bottle (172) cloth ridiculous apple (173) eating guitar (174) glass car (175) archaic walking table (176) tiny saw (177) midsize jar (178) german earring (179) japanese earring (180) good shoe (181) paper bed (182) fiberglass shirt (183) bangladeshi key (184) archaic fork (185) obnoxious bottle (186) square speaker (187) prismlike apple (188) ancient exercise saw (189) huge trash can (190) cyan prismlike sofa (191) yellow saw (192) mysterious knife (193) russian tiny earring (194) maroon plate (195) old-fashioned driving knife (196) bangladeshi huge hat (197) ridiculous scissors (198) glass obnoxious guitar (199) leather lovely pencil (200) magenta saw\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) violet triangular glass good filipino small jar\n(B) prismlike aqua leather ridiculous turkish large shoe\n(C) old-fashioned hiking cloth wonderful american little square pink ball\n(D) old-fashioned walking fiberglass ridiculous thai tiny speaker\n(E) cardboard terrible mexican small prismlike cyan screwdriver\n(F) walking plastic good indian normal-size triangular crimson drill\n(G) new hiking cloth terrible chinese little spherical wrench\n(H) prismlike red steel silly german big exercise old-fashioned fork\n(I) typing wood ridiculous russian large yellow triangular car\n(J) cyan plastic good indonesian medium-size whittling old ball\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "a8a9576cb853a05f4256e3dadf309ddbd62a900c7b95e64e13c2c8bf9f249b41",
    "id": "bbeh:hyperbaton:116",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) indigo japanese hammer (2) indian wallet (3) ethiopian guitar (4) pink watch (5) pink necklace (6) brand-new shoe (7) wonderful pencil (8) mysterious canvas (9) medium-size rectangular box (10) glass ridiculous trash can (11) magenta shoe (12) large bird (13) small necklace (14) bangladeshi wrench (15) big shoe (16) blue indian apple (17) midsize circular banana (18) repulsive camera (19) medium-size knife (20) yellow marker (21) cloth bed (22) indigo guitar (23) iron shirt (24) german screwdriver (25) driving camera (26) brand-new walking bag (27) little car (28) indigo vase (29) maroon turkish knife (30) repulsive key (31) typing speaker (32) old typing chair (33) blue pakistani vase (34) smoking camera (35) fiberglass scissors (36) brand-new car key (37) japanese wallet (38) mexican hammer (39) circular watch (40) medium-size spherical sunglasses (41) new snorkeling table (42) plastic awful box (43) leather ridiculous calculator (44) blue congolese box (45) huge scissors (46) old-fashioned exercise toolbox (47) fiberglass bowl (48) paper marker (49) awful trash can (50) steel bicycle (51) mexican table (52) whittling camera (53) driving sunglasses (54) nice cup (55) paper nice piano (56) glass knife (57) huge shoe (58) old spoon (59) massive camera (60) obnoxious wallet (61) normal-size triangular saw (62) triangular lamp (63) rubber wrench (64) archaic whittling watch (65) archaic snorkeling bird (66) old-fashioned marker (67) driving speaker (68) steel house (69) new speaker (70) old hiking canvas (71) archaic exercise plate (72) yellow screwdriver (73) brown thai fire extinguisher (74) smoking brush (75) midsize earring (76) normal-size book (77) magenta american bag (78) small square hammer (79) gray congolese shoe (80) paper nice shirt (81) glass wrench (82) old typing box (83) old-fashioned walking key (84) massive square marker (85) cyan filipino hat (86) leather marker (87) smoking pen (88) black nigerian plier (89) teal japanese table (90) terrible wallet (91) normal-size sofa (92) circular trash can (93) medium-size guitar (94) old-fashioned exercise dog (95) rubber good sunglasses (96) archaic snorkeling car key (97) drinking earring (98) triangular bowl (99) repulsive sofa (100) rectangular trash can (101) exercise ring (102) plastic shoe (103) silly archaic japanese cup (104) normal-size pyramidal necklace (105) massive pyramidal ruler (106) indigo bag (107) brand-new jar (108) pakistani trash can (109) steel driving red table (110) pink plate (111) old-fashioned hat (112) little square table (113) midsize trash can (114) ridiculous trash can (115) yellow mexican sofa (116) rubber sofa (117) cloth bird (118) cyan guitar (119) enormous car (120) prismlike ball (121) leather watch (122) gray wrench (123) medium-size prismlike bed (124) violet congolese banana (125) yellow nigerian screwdriver (126) indigo egyptian book (127) archaic walking trash can (128) whittling bowl (129) whittling shirt (130) paper lovely box (131) cardboard terrible bicycle (132) large ring (133) midsize prismlike piano (134) medium-size speaker (135) mexican ring (136) rubber bed (137) typing plier (138) indigo bangladeshi vase (139) hiking ball (140) big spherical pen (141) ethiopian marker (142) archaic exercise car key (143) huge circular stapler (144) steel nice sunglasses (145) rectangular shoe (146) little book (147) archaic drinking sofa (148) fiberglass lovely drill (149) pink shoe (150) rectangular key (151) plastic mysterious guitar (152) obnoxious chair (153) whittling spoon (154) medium-size square fire extinguisher (155) wood piano (156) terrible bowl (157) wool stapler (158) awful saw (159) obnoxious car (160) good key (161) paper watch (162) gray japanese fork (163) old eating plate (164) wood screwdriver (165) typing knife (166) archaic wallet (167) ethiopian camera (168) pink congolese flower pot (169) teal vietnamese camera (170) rectangular earring (171) russian candle (172) black scissors (173) cloth ruler (174) green russian banana (175) brand-new necklace (176) leather mysterious guitar (177) driving clock (178) normal-size prismlike bowl (179) wood good toolbox (180) rubber candle (181) fiberglass wallet (182) small prismlike hammer (183) enormous prismlike camera (184) german hammer (185) tiny car key (186) black earring (187) brand-new typing sofa (188) wool earring (189) archaic whittling banana (190) steel sofa (191) little shirt (192) ancient calculator (193) repulsive wrench (194) terrible spoon (195) steel terrible fire extinguisher (196) indigo japanese wrench (197) old-fashioned walking sunglasses (198) small rectangular ring (199) plastic awful guitar (200) brown hammer (201) iron table (202) wood ridiculous house (203) paper stapler (204) lovely sofa (205) iranian car (206) old smoking sunglasses (207) drinking trash can (208) prismlike pen (209) medium-size hammer (210) blue lamp (211) prismlike car (212) leather apple (213) medium-size scissors (214) old book (215) old-fashioned hammer (216) violet plate (217) violet pakistani drill (218) brown turkish banana (219) rubber lovely drill (220) gray thai piano (221) eating brush (222) glass mysterious vase (223) hiking house (224) typing hat (225) drinking dog (226) cloth ridiculous lamp (227) german bird\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) prismlike massive old walking red filipino silly fork\n(B) iron mysterious ancient hiking magenta american wrench\n(C) silly new typing gray chinese rectangular little shoe\n(D) old-fashioned typing blue congolese small circular wrench\n(E) wonderful brand-new smoking blue thai medium-size triangular plate\n(F) rectangular brand-new exercise blue iranian terrible wool bottle\n(G) iron nice new drinking blue russian midsize bicycle\n(H) prismlike little ancient smoking gray iranian ruler\n(I) huge rectangular old snorkeling green american car\n(J) medium-size archaic driving violet brazilian repulsive leather house\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "0c1d7c44b30a5974e275f8fb5c4f986891ea0b528b2c8851ca8eb9ebdcb3bdbc",
    "id": "bbeh:hyperbaton:121",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pink bowl (2) drinking rectangular cup (3) walking fork (4) thai saw (5) whittling knife (6) violet car (7) cloth candle (8) plastic box (9) pyramidal bird (10) triangular jar (11) large trash can (12) yellow piano (13) blue cup (14) old paper sofa (15) good screwdriver (16) fiberglass necklace (17) hiking ring (18) archaic spoon (19) nice piano (20) obnoxious shoe (21) drinking triangular bowl (22) big necklace (23) brand-new lamp (24) glass toolbox (25) medium-size flower pot (26) cyan dog (27) plastic car key (28) circular necklace (29) silly trash can (30) red german shoe (31) big repulsive house (32) fiberglass screwdriver (33) whittling spherical wallet (34) pink table (35) aqua egyptian candle (36) typing prismlike camera (37) magenta bicycle (38) drinking prismlike dog (39) new fire extinguisher (40) crimson chinese earring (41) large silly canvas (42) exercise rectangular toolbox (43) old scissors (44) indonesian hat (45) mexican bicycle (46) brazilian spoon (47) leather guitar (48) triangular car (49) vietnamese saw (50) small mysterious spoon (51) maroon thai candle (52) walking rectangular hammer (53) enormous apple (54) drinking rectangular flower pot (55) huge bag (56) rubber chair (57) spherical little filipino canvas (58) massive wonderful saw (59) rubber saw (60) smoking trash can (61) tiny awful shoe (62) cyan filipino drill (63) terrible book (64) filipino watch (65) old fiberglass piano (66) spherical necklace (67) old fire extinguisher (68) midsize wonderful toolbox (69) walking wallet (70) terrible sunglasses (71) old-fashioned glass wrench (72) normal-size terrible brush (73) old-fashioned wool bowl (74) exercise prismlike table (75) brand-new leather apple (76) hiking apple (77) medium-size good spoon (78) smoking spherical trash can (79) walking lovely gray bowl (80) iranian saw (81) new clock (82) silly earring (83) old fiberglass stapler (84) little sofa (85) whittling clock (86) medium-size saw (87) prismlike bird (88) hiking hammer (89) black bed (90) old hat (91) small spoon (92) typing rectangular apple (93) plastic bird (94) indigo wallet (95) teal scissors (96) ridiculous watch (97) brand-new steel plier (98) obnoxious candle (99) indigo mexican speaker (100) indonesian hammer (101) brand-new cloth apple (102) american bag (103) green nigerian guitar (104) driving box (105) brown ethiopian ring (106) repulsive candle (107) chinese plate (108) pyramidal jar (109) violet thai bicycle (110) new canvas (111) whittling table (112) wool vase (113) circular fire extinguisher (114) huge clock (115) old-fashioned plier (116) bangladeshi speaker (117) new pen (118) lovely dog (119) old-fashioned fiberglass trash can (120) prismlike canvas (121) brand-new leather ruler\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) ancient huge awful pink vietnamese circular typing speaker\n(B) walking circular massive terrible magenta egyptian wood key\n(C) cloth medium-size ridiculous aqua nigerian pyramidal whittling bag\n(D) plastic brand-new medium-size ridiculous black american rectangular bicycle\n(E) old iron normal-size repulsive cyan nigerian square eating candle\n(F) hiking circular medium-size silly blue thai new rubber ball\n(G) exercise square medium-size repulsive gray vietnamese earring\n(H) spherical normal-size awful brown indonesian brand-new iron wallet\n(I) old-fashioned paper small terrible aqua egyptian stapler\n(J) wool old midsize repulsive white indonesian camera\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "29e8dd009cc962f8f0838833919d2d8087f4edab2b08851b43a3f511cd8660b2",
    "id": "bbeh:hyperbaton:123",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) triangular lamp (2) typing car (3) snorkeling sunglasses (4) japanese jar (5) normal-size book (6) silly brush (7) rectangular canvas (8) nice cup (9) glass plate (10) hiking archaic key (11) teal pen (12) violet hammer (13) plastic bowl (14) wool toolbox (15) typing old-fashioned scissors (16) normal-size red flower pot (17) nigerian fire extinguisher (18) thai sofa (19) brand-new brush (20) exercise apple (21) terrible fire extinguisher (22) filipino jar (23) indonesian circular chair (24) turkish spherical hammer (25) cloth saw (26) brown flower pot (27) little lamp (28) snorkeling old-fashioned calculator (29) congolese lamp (30) white banana (31) ancient table (32) normal-size pink pencil (33) small white box (34) big red apple (35) wood terrible spoon (36) old-fashioned guitar (37) brand-new apple (38) walking archaic clock (39) new plier (40) filipino dog (41) glass house (42) triangular bag (43) vietnamese triangular shirt (44) violet plier (45) glass silly earring (46) turkish flower pot (47) cyan clock (48) large key (49) obnoxious candle (50) awful camera (51) chinese triangular car (52) mysterious flower pot (53) brown wallet (54) whittling new umbrella (55) cardboard wallet (56) ethiopian stapler (57) good wallet (58) fiberglass wonderful watch (59) big green hammer (60) plastic bottle (61) turkish rectangular fork (62) normal-size earring (63) small banana (64) iranian saw (65) smoking bird (66) massive shoe (67) green bed (68) old-fashioned book (69) large teal guitar (70) nice wrench (71) medium-size pink clock (72) eating ancient canvas (73) drinking box (74) fiberglass repulsive hammer (75) small scissors (76) russian flower pot (77) vietnamese spoon (78) mysterious vase (79) german prismlike screwdriver (80) new piano (81) eating new house (82) bangladeshi spherical bird (83) glass candle (84) driving candle (85) thai car key (86) smoking necklace (87) archaic cup (88) old sofa (89) snorkeling fork (90) nice earring (91) small white vase (92) brand-new hat (93) lovely chair (94) plastic banana (95) hiking archaic lamp (96) mysterious guitar (97) cyan knife (98) chinese rectangular book (99) huge violet apple (100) thai prismlike apple (101) square spoon (102) pyramidal bag (103) glass awful wallet (104) little red car (105) exercise circular iron chair (106) archaic fork (107) exercise ancient banana (108) small white brush (109) circular apple (110) congolese rectangular pencil (111) eating plate (112) aqua banana (113) archaic dog (114) paper repulsive candle (115) snorkeling archaic book (116) medium-size cup (117) pink bicycle (118) walking old marker (119) eating ball (120) square scissors (121) ethiopian pyramidal apple (122) pyramidal dog (123) huge brown cup (124) driving speaker (125) prismlike canvas (126) typing scissors (127) big necklace (128) indonesian fire extinguisher (129) vietnamese pyramidal candle (130) archaic car key (131) egyptian triangular clock (132) triangular bottle (133) old umbrella (134) enormous trash can (135) silly camera (136) glass silly cup (137) triangular sofa (138) typing bed (139) russian saw (140) exercise brand-new vase (141) egyptian square fork (142) russian square hat (143) cyan car key (144) repulsive wrench (145) walking ancient bowl (146) maroon car key (147) brand-new guitar (148) nice car key (149) indonesian key (150) small white house (151) archaic necklace (152) awful earring (153) small pink house (154) snorkeling plier (155) typing ancient box (156) black bag (157) cloth ridiculous ring (158) normal-size lamp (159) enormous chair (160) spherical bag (161) normal-size maroon lamp (162) wood awful vase (163) little bowl (164) enormous bed (165) ridiculous sunglasses (166) paper sunglasses (167) snorkeling necklace (168) brown bowl (169) enormous aqua sofa (170) drinking drill (171) rectangular flower pot (172) silly cup (173) cardboard good bird (174) exercise new dog (175) typing vase (176) triangular brush (177) cloth bottle (178) egyptian spherical hat (179) german pyramidal lamp (180) medium-size red stapler (181) smoking archaic wrench (182) cyan ball (183) drinking bird (184) circular chair (185) steel ball (186) wonderful earring (187) silly piano (188) midsize violet clock (189) eating old-fashioned bowl (190) good umbrella (191) steel mysterious fork (192) mexican triangular flower pot (193) ridiculous key (194) bangladeshi square piano (195) brazilian shirt (196) exercise new necklace (197) terrible table (198) good shirt (199) wool ridiculous spoon (200) japanese pyramidal sofa (201) chinese vase (202) crimson wallet (203) archaic spoon (204) awful plier (205) old camera (206) snorkeling ancient vase (207) huge brown key (208) crimson hammer (209) typing new banana (210) little aqua wallet (211) nice bird (212) filipino stapler (213) thai box (214) drinking archaic toolbox (215) cloth cup (216) spherical apple (217) obnoxious shoe (218) drinking hat (219) brand-new nigerian nice car (220) walking old-fashioned table (221) leather obnoxious banana (222) prismlike ball (223) yellow screwdriver (224) iron terrible car key (225) spherical house (226) terrible watch (227) japanese prismlike fork (228) american rectangular clock\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) typing old mexican rectangular cardboard lovely large crimson saw\n(B) whittling brand-new egyptian square cloth silly brown screwdriver\n(C) driving ancient turkish triangular fiberglass nice red little car key\n(D) gray medium-size indonesian triangular iron mysterious archaic scissors\n(E) chinese spherical rubber repulsive teal huge canvas\n(F) enormous thai spherical glass awful old typing chair\n(G) ancient congolese triangular leather terrible medium-size gray box\n(H) small magenta filipino triangular glass obnoxious ancient plier\n(I) walking new indonesian rectangular rubber mysterious saw\n(J) small crimson american prismlike fiberglass repulsive new smoking marker\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "a56fa98618f3fded69cdd452f206eed762cb9b66610aacbe4f134a97ed2bb6d2",
    "id": "bbeh:hyperbaton:124",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) large ridiculous hammer (2) silly sunglasses (3) medium-size ridiculous spoon (4) eating leather watch (5) massive obnoxious bottle (6) new violet saw (7) egyptian circular banana (8) red earring (9) huge mysterious guitar (10) whittling paper flower pot (11) brazilian triangular house (12) mysterious cup (13) ridiculous brush (14) thai pyramidal candle (15) aqua ring (16) pyramidal flower pot (17) congolese spherical bed (18) good piano (19) snorkeling lamp (20) black knife (21) hiking canvas (22) fiberglass car key (23) midsize canvas (24) old red piano (25) steel stapler (26) exercise key (27) brand-new cup (28) nigerian car key (29) brand-new red drill (30) archaic earring (31) indigo shirt (32) driving ball (33) chinese marker (34) smoking cloth car (35) teal dog (36) ancient speaker (37) bangladeshi pencil (38) snorkeling paper ruler (39) new box (40) brand-new yellow brush (41) spherical apple (42) eating cup (43) whittling glass umbrella (44) driving canvas (45) snorkeling pyramidal ancient key (46) iranian triangular fire extinguisher (47) brand-new indigo chair (48) iranian ring (49) eating fiberglass bed (50) brand-new jar (51) wool nigerian crimson bag (52) lovely guitar (53) walking bird (54) old-fashioned magenta scissors (55) iranian cup (56) terrible umbrella (57) walking shoe (58) mysterious wallet (59) russian banana (60) fiberglass necklace (61) brazilian circular plate (62) spherical screwdriver (63) big good stapler (64) old white piano (65) american pyramidal guitar (66) cardboard banana (67) tiny awful saw (68) old book (69) ethiopian rectangular bowl (70) blue clock (71) chinese key (72) eating iron bird (73) iranian prismlike toolbox (74) magenta calculator (75) medium-size shirt (76) little marker (77) pink speaker (78) obnoxious pen (79) huge terrible vase (80) exercise iron ruler (81) ancient sofa (82) congolese spherical flower pot (83) crimson dog (84) large repulsive bottle (85) old shoe (86) new banana (87) hiking fiberglass apple (88) old white hat (89) awful canvas\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) lovely brazilian spherical ancient aqua wool hiking key\n(B) iron chinese pyramidal brand-new brown silly midsize stapler\n(C) turkish spherical ancient white massive repulsive watch\n(D) indian spherical ancient green lovely big shoe\n(E) midsize awful filipino prismlike old indigo sunglasses\n(F) midsize mexican spherical brand-new violet glass exercise brush\n(G) driving glass indonesian pyramidal ancient brown bicycle\n(H) walking plastic filipino circular old teal good candle\n(I) massive good german prismlike new pink rubber drinking bird\n(J) wonderful large german pyramidal old-fashioned black glass stapler\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "abb7454da17130fa8eab571289aeabf8f9324cf4a18d9620a635e4a6873ead3e",
    "id": "bbeh:hyperbaton:134",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) massive brush (2) whittling wallet (3) crimson ruler (4) old-fashioned ball (5) mexican rectangular cup (6) filipino prismlike ruler (7) iron trash can (8) ethiopian pyramidal vase (9) nice flower pot (10) old repulsive pen (11) glass apple (12) circular chair (13) huge car key (14) large sunglasses (15) ancient silly shirt (16) old obnoxious box (17) teal tiny jar (18) archaic candle (19) indonesian prismlike jar (20) enormous saw (21) aqua massive shoe (22) terrible scissors (23) egyptian scissors (24) ancient hammer (25) new spoon (26) magenta ruler (27) vietnamese rectangular plate (28) glass drinking table (29) violet normal-size plier (30) silly pen (31) rubber whittling ruler (32) spherical bicycle (33) wonderful chair (34) rubber hammer (35) triangular dog (36) wool typing umbrella (37) lovely vietnamese typing toolbox (38) aqua hammer (39) blue enormous guitar (40) old obnoxious drill (41) crimson hammer (42) congolese circular key (43) new ridiculous bottle (44) ethiopian pyramidal ring (45) normal-size book (46) wool driving house (47) medium-size vase (48) archaic ridiculous dog (49) teal large bird (50) hiking car (51) ethiopian circular car key (52) awful shoe (53) pink ruler (54) snorkeling hat (55) enormous cup (56) triangular bottle (57) medium-size toolbox (58) drinking speaker (59) ethiopian circular clock (60) exercise table (61) egyptian wrench (62) white apple (63) gray book (64) cloth walking clock (65) mexican rectangular calculator (66) yellow big cup (67) rectangular car (68) new ruler (69) lovely spoon (70) crimson midsize pencil (71) magenta enormous ball (72) wool snorkeling lamp (73) congolese spherical pencil (74) silly watch (75) old-fashioned ridiculous shirt (76) black enormous calculator (77) blue ball (78) rubber screwdriver (79) new pen (80) fiberglass scissors (81) new hammer (82) german ball (83) green small apple (84) triangular speaker (85) wool whittling car (86) gray canvas (87) old circular wool guitar (88) prismlike shirt (89) ancient banana (90) new lovely ruler (91) square piano (92) old pen (93) archaic terrible bicycle (94) pyramidal pencil (95) obnoxious dog (96) steel hiking book (97) hiking candle (98) circular bird (99) leather walking bag (100) brown normal-size trash can (101) rectangular box (102) big lamp (103) whittling guitar (104) cardboard wrench (105) pakistani bottle (106) new repulsive table (107) silly bird (108) egyptian hat (109) rubber shoe (110) new hat (111) awful necklace (112) hiking brush (113) square box (114) plastic eating ring (115) vietnamese cup (116) eating scissors (117) cloth bowl (118) snorkeling sunglasses (119) exercise bag (120) steel whittling hammer (121) whittling cup (122) yellow small chair (123) paper typing clock (124) ethiopian rectangular sunglasses (125) driving pen (126) awful sofa (127) leather shirt (128) filipino spherical bottle (129) chinese hat (130) teal tiny umbrella (131) rubber saw (132) archaic plate (133) massive pen (134) brand-new cup (135) paper brush (136) rectangular piano\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) wonderful thai pyramidal wood hiking large green ball\n(B) aqua tiny egyptian triangular fiberglass whittling terrible old-fashioned wallet\n(C) midsize egyptian pyramidal glass exercise nice brand-new chair\n(D) large magenta american circular paper hiking chair\n(E) old terrible congolese square cardboard smoking indigo wrench\n(F) lovely nigerian rectangular wool drinking blue massive piano\n(G) indian pyramidal fiberglass hiking aqua midsize pen\n(H) new silly filipino circular iron exercise bed\n(I) massive teal iranian square steel typing nice shirt\n(J) old-fashioned wonderful russian circular wood hiking big aqua car\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "80bab53d10ea440a9ca542313d748e902f7d687bba15e9b48351d1110099d9c8",
    "id": "bbeh:hyperbaton:135",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) teal wonderful canvas (2) mysterious lamp (3) drinking blue new chair (4) old-fashioned saw (5) brand-new spoon (6) pyramidal nigerian camera (7) wonderful sunglasses (8) circular congolese sofa (9) glass scissors (10) lovely watch (11) silly pencil (12) good hammer (13) white knife (14) snorkeling house (15) aqua flower pot (16) triangular egyptian saw (17) repulsive trash can (18) old vase (19) snorkeling bicycle (20) massive walking apple (21) yellow bag (22) nice bowl (23) indigo silly pen (24) brand-new guitar (25) rubber old bowl (26) glass new car (27) repulsive screwdriver (28) small eating bed (29) fiberglass new pen (30) terrible car key (31) rectangular filipino drill (32) wood archaic necklace (33) massive driving jar (34) normal-size bowl (35) blue silly car (36) prismlike candle (37) midsize smoking toolbox (38) wood ancient screwdriver (39) walking banana (40) eating dog (41) prismlike bag (42) glass pen (43) rectangular umbrella (44) square canvas (45) blue awful ruler (46) driving apple (47) iron bowl (48) awful table (49) walking box (50) russian screwdriver (51) fiberglass ancient ruler (52) plastic banana (53) eating bottle (54) ancient scissors (55) american pen (56) brown lovely saw (57) archaic book (58) hiking vase (59) red ruler (60) huge bag (61) hiking car key (62) plastic car key (63) tiny driving scissors (64) huge exercise flower pot (65) repulsive scissors (66) snorkeling screwdriver (67) old car (68) medium-size walking umbrella (69) german jar (70) nigerian necklace (71) thai key (72) nice flower pot (73) tiny smoking jar (74) rubber new hat (75) silly spoon (76) indigo drill (77) good bed (78) tiny umbrella (79) awful apple (80) brazilian fork (81) massive earring (82) green wonderful car key (83) large candle (84) spherical knife (85) green silly bag (86) cardboard apple (87) terrible plier (88) steel candle (89) rectangular mexican toolbox (90) magenta bed (91) walking hat (92) mexican dog (93) large marker (94) paper old-fashioned banana (95) rectangular bicycle (96) rectangular iranian bird (97) vietnamese dog (98) large cup (99) drinking bird (100) magenta ridiculous hammer (101) enormous drinking speaker (102) huge snorkeling calculator (103) big obnoxious iron necklace (104) whittling umbrella (105) new plate (106) blue ring (107) awful banana (108) wood plate (109) paper new plier (110) massive lamp (111) tiny candle (112) magenta good toolbox (113) cloth bed (114) nice ruler (115) maroon plier (116) cloth archaic earring (117) small speaker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) circular russian red lovely plastic ancient hiking huge sofa\n(B) small hiking white mysterious glass archaic pakistani watch\n(C) tiny driving maroon mysterious iron ancient triangular hat\n(D) triangular indigo nice plastic old exercise midsize shoe\n(E) normal-size exercise aqua mysterious paper brand-new book\n(F) congolese rectangular maroon silly rubber new eating spoon\n(G) small drinking yellow terrible wool brand-new russian square house\n(H) drinking indigo ridiculous wool brand-new german rectangular camera\n(I) circular chinese magenta repulsive iron brand-new car\n(J) pakistani square maroon wonderful iron new drinking small plate\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "d0a0897b90fc9c40820ac5f673275e40300431a47e4e7863fb88e04b0329b9ed",
    "id": "bbeh:hyperbaton:137",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) snorkeling shoe (2) white new banana (3) exercise plate (4) prismlike knife (5) massive iron lamp (6) square mexican sunglasses (7) walking sunglasses (8) plastic toolbox (9) ancient sunglasses (10) indigo old calculator (11) terrible shoe (12) wood candle (13) walking piano (14) midsize iron fork (15) paper dog (16) cardboard watch (17) magenta plier (18) awful snorkeling earring (19) medium-size leather trash can (20) cyan bicycle (21) tiny banana (22) little glass canvas (23) ridiculous eating ruler (24) huge sofa (25) old-fashioned toolbox (26) massive cardboard screwdriver (27) lovely snorkeling spoon (28) old-fashioned book (29) iranian car key (30) wood dog (31) violet archaic cup (32) leather fire extinguisher (33) ancient book (34) massive dog (35) white wallet (36) good walking car (37) russian plier (38) circular saw (39) big ruler (40) massive hammer (41) repulsive stapler (42) prismlike thai toolbox (43) good jar (44) pyramidal ethiopian bicycle (45) massive iron ruler (46) midsize paper lamp (47) pyramidal sofa (48) good eating bicycle (49) tiny bowl (50) blue sunglasses (51) cyan ruler (52) wonderful iron spherical bed (53) violet sofa (54) small steel banana (55) fiberglass earring (56) medium-size wool piano (57) ridiculous cup (58) crimson old bowl (59) white plate (60) silly eating scissors (61) midsize paper screwdriver (62) obnoxious chair (63) nice whittling canvas (64) large cloth fork (65) prismlike egyptian screwdriver (66) normal-size plastic guitar (67) triangular ethiopian stapler (68) pink banana (69) typing ruler (70) glass car (71) exercise ring (72) small steel trash can (73) fiberglass saw (74) prismlike flower pot (75) enormous wool shirt (76) square canvas (77) green new chair (78) little wood sunglasses (79) exercise clock (80) green ancient necklace (81) little leather piano (82) gray new clock (83) pakistani dog (84) crimson shoe (85) walking trash can (86) awful snorkeling bowl (87) prismlike indonesian key (88) spherical filipino pencil (89) circular thai guitar (90) violet brand-new sofa (91) huge necklace (92) square calculator (93) ancient marker (94) cardboard bird (95) leather pen (96) tiny iron hat (97) white toolbox (98) cloth table (99) mysterious knife (100) wonderful earring (101) silly trash can (102) mysterious eating house (103) red brand-new plate (104) teal old-fashioned key (105) cloth wallet (106) square pencil (107) chinese calculator (108) repulsive vase (109) midsize wool pen (110) terrible knife (111) fiberglass sofa (112) ancient hammer (113) violet shirt (114) cardboard clock (115) ethiopian bird (116) new house (117) square congolese ball (118) big iron apple (119) indonesian dog (120) obnoxious speaker (121) hiking car key (122) tiny plastic key (123) pyramidal turkish house (124) square chinese jar (125) midsize hat (126) ancient screwdriver (127) typing bottle (128) yellow old pencil (129) terrible hiking knife (130) fiberglass brush (131) white bowl (132) wood bicycle (133) new shirt (134) chinese banana (135) mysterious jar (136) good toolbox (137) medium-size table (138) silly eating watch (139) drinking wallet (140) teal old screwdriver (141) obnoxious snorkeling hat (142) ridiculous exercise chair (143) big pen (144) iron flower pot (145) triangular bangladeshi fire extinguisher (146) little camera (147) old canvas (148) ridiculous exercise calculator (149) pyramidal egyptian spoon (150) cardboard plate (151) huge candle (152) huge cloth ring (153) indian apple (154) drinking normal-size german camera (155) triangular shirt (156) little screwdriver (157) spherical ball (158) square shoe (159) huge steel bird (160) normal-size iron speaker (161) cyan camera (162) cloth brush (163) bangladeshi marker (164) brand-new spoon (165) tiny paper chair (166) little box (167) cardboard lamp (168) typing box (169) old umbrella (170) egyptian box (171) pyramidal russian knife (172) eating fork (173) russian bicycle\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) tiny cloth square brazilian white new chair\n(B) white old little plastic prismlike japanese sunglasses\n(C) small leather triangular russian old red house\n(D) good smoking big cloth rectangular chinese cyan brand-new vase\n(E) old enormous cardboard prismlike pakistani typing mysterious bowl\n(F) nice walking small fiberglass square mexican chair\n(G) nice typing huge wood spherical chinese brand-new yellow knife\n(H) snorkeling enormous iron triangular filipino crimson archaic bag\n(I) gray normal-size steel circular egyptian typing ridiculous bottle\n(J) typing little wool prismlike bangladeshi new white scissors\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "728e5e6cfc54a27bcb6132b2df0987101099bdd03312f8d910e73f463d879a69",
    "id": "bbeh:hyperbaton:143",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) normal-size thai watch (2) steel chair (3) driving watch (4) ridiculous lamp (5) white cup (6) tiny key (7) little nigerian lamp (8) snorkeling guitar (9) whittling shoe (10) prismlike chair (11) snorkeling plastic spoon (12) pyramidal shirt (13) new black saw (14) driving iron bed (15) ridiculous pyramidal ball (16) brown trash can (17) plastic calculator (18) bangladeshi calculator (19) eating stapler (20) silly cup (21) midsize wrench (22) aqua chair (23) wool dog (24) white lamp (25) white sunglasses (26) pyramidal wrench (27) triangular camera (28) circular normal-size gray vase (29) hiking plastic table (30) large pakistani camera (31) rubber bird (32) spherical clock (33) bangladeshi apple (34) typing fiberglass bag (35) ancient yellow umbrella (36) terrible box (37) indian camera (38) good prismlike wallet (39) enormous turkish wrench (40) new wallet (41) new screwdriver (42) filipino speaker (43) plastic trash can (44) teal bottle (45) midsize nigerian drill (46) eating hat (47) walking plastic key (48) leather bed (49) exercise fiberglass bag (50) ancient crimson house (51) driving pen (52) enormous brazilian clock (53) typing iron saw (54) old-fashioned vase (55) indonesian ruler (56) normal-size iranian candle (57) old apple (58) gray ball (59) driving iron apple (60) prismlike umbrella (61) normal-size fork (62) awful circular dog (63) typing ring (64) cardboard lamp (65) archaic teal brush (66) square banana (67) little russian fork (68) old maroon piano (69) teal bed (70) mysterious trash can (71) nigerian calculator (72) glass saw (73) exercise hammer (74) old red book (75) rubber speaker (76) congolese scissors (77) black jar (78) new camera (79) pink bicycle (80) awful key (81) repulsive pencil (82) wood car (83) pink toolbox (84) large brazilian calculator (85) ridiculous car key (86) old-fashioned red piano (87) typing wood key (88) vietnamese ball (89) rectangular lamp (90) archaic trash can (91) typing plastic chair (92) walking cardboard speaker (93) prismlike shirt (94) drinking paper shirt (95) red fire extinguisher (96) ridiculous german new book (97) awful trash can (98) rectangular cup (99) spherical table (100) ancient table (101) driving pencil (102) aqua bicycle (103) russian bicycle (104) awful dog (105) ancient lamp (106) medium-size chair (107) new house (108) rectangular scissors (109) congolese book (110) nigerian stapler (111) ridiculous rectangular saw (112) new fire extinguisher (113) old fork (114) pakistani earring (115) archaic indigo ball (116) nice square saw (117) terrible umbrella (118) congolese house (119) maroon fork (120) large thai sunglasses (121) driving wool table (122) lovely guitar (123) enormous german plate (124) driving car (125) huge bangladeshi lamp (126) mysterious circular apple (127) mysterious scissors (128) driving plastic bag (129) eating lamp (130) snorkeling wallet (131) leather book (132) exercise paper shoe (133) archaic speaker (134) gray wallet (135) tiny clock (136) japanese pencil (137) filipino bag (138) japanese plate (139) eating book (140) drinking wood stapler (141) good pyramidal watch (142) prismlike bird (143) glass canvas (144) congolese guitar (145) indian clock (146) turkish car (147) midsize toolbox (148) repulsive wrench (149) silly rectangular hammer (150) new maroon box (151) mysterious prismlike apple (152) silly prismlike vase (153) obnoxious prismlike car key (154) cyan hammer (155) indian cup (156) normal-size mexican ring (157) egyptian fork (158) pakistani flower pot (159) pyramidal bottle (160) terrible pyramidal plier (161) old-fashioned black bottle (162) russian hat (163) smoking spoon (164) awful circular trash can (165) magenta ring (166) hiking knife (167) filipino canvas (168) enormous indonesian saw (169) whittling glass car key (170) prismlike knife (171) leather piano (172) archaic red camera (173) turkish brush (174) old aqua umbrella (175) cardboard house (176) hiking wood hat (177) archaic knife (178) smoking stapler (179) old speaker (180) large german chair (181) ancient yellow calculator (182) brand-new aqua speaker (183) smoking bird (184) walking calculator (185) spherical watch (186) bangladeshi watch (187) lovely circular clock (188) snorkeling car key (189) old-fashioned maroon camera (190) cyan watch (191) terrible toolbox (192) mysterious prismlike key (193) medium-size guitar (194) lovely spherical trash can (195) american chair (196) archaic canvas (197) nice camera (198) yellow fire extinguisher (199) steel fire extinguisher (200) wonderful cup (201) new magenta pencil (202) vietnamese vase (203) tiny wallet (204) repulsive book (205) prismlike speaker (206) fiberglass hat (207) driving steel cup (208) mysterious shirt (209) hiking iron shirt (210) snorkeling glass fork (211) nice square plate\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) cloth tiny bangladeshi ancient crimson prismlike lovely sunglasses\n(B) lovely rectangular normal-size turkish archaic red smoking paper candle\n(C) pyramidal large thai old-fashioned maroon exercise wood stapler\n(D) exercise wood normal-size brazilian old-fashioned violet rectangular lovely car\n(E) typing iron normal-size congolese archaic yellow circular camera\n(F) huge turkish brand-new gray fiberglass exercise lamp\n(G) big congolese brand-new maroon typing wood bag\n(H) awful spherical big ethiopian ancient teal plier\n(I) hiking rubber large iranian brand-new gray hat\n(J) wood driving normal-size congolese old white rectangular bed\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "0a2f2b28d0e487cb3db395a6141d938d0d2811082c95ab140c81c84aa29d51e0",
    "id": "bbeh:hyperbaton:144",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) japanese wrench (2) gray apple (3) plastic guitar (4) little hat (5) steel saw (6) blue table (7) smoking chinese umbrella (8) ancient chair (9) ancient repulsive stapler (10) massive steel fire extinguisher (11) midsize wool cup (12) archaic repulsive pencil (13) good car (14) triangular aqua calculator (15) spherical car (16) wool flower pot (17) enormous paper shirt (18) new calculator (19) typing pakistani pencil (20) mysterious toolbox (21) new awful brush (22) red banana (23) wonderful car key (24) whittling bag (25) hiking congolese trash can (26) american ruler (27) enormous cup (28) little cloth necklace (29) new hammer (30) spherical earring (31) brand-new pen (32) cyan guitar (33) eating congolese ring (34) tiny lamp (35) indian plier (36) brand-new lamp (37) archaic clock (38) little plastic trash can (39) eating bottle (40) new ball (41) magenta box (42) steel wallet (43) drinking ethiopian bicycle (44) archaic repulsive flower pot (45) smoking german flower pot (46) old canvas (47) prismlike teal umbrella (48) ancient wonderful car (49) good house (50) fiberglass shirt (51) enormous book (52) russian bicycle (53) walking japanese calculator (54) triangular indigo dog (55) old-fashioned obnoxious knife (56) steel pen (57) smoking fire extinguisher (58) square ruler (59) paper candle (60) snorkeling bowl (61) new silly table (62) wool shoe (63) brand-new necklace (64) ancient table (65) mexican bottle (66) white bag (67) new chair (68) rectangular yellow watch (69) fiberglass fire extinguisher (70) driving sunglasses (71) steel jar (72) pyramidal white banana (73) brand-new wonderful wrench (74) little ruler (75) snorkeling turkish earring (76) snorkeling indonesian watch (77) nice house (78) drinking steel old-fashioned key (79) circular indigo calculator (80) old guitar (81) cyan wallet (82) brand-new bird (83) crimson scissors (84) old obnoxious bird (85) old good hammer (86) japanese drill (87) ancient key (88) exercise bowl (89) chinese bowl (90) midsize plate (91) exercise ring (92) ethiopian trash can (93) vietnamese plate (94) brand-new ring (95) german lamp (96) huge fire extinguisher (97) new lovely necklace (98) filipino vase (99) good cup (100) triangular magenta canvas (101) brand-new good scissors (102) typing box (103) smoking earring (104) triangular pink hat (105) silly apple (106) iranian shirt (107) square magenta house (108) eating bangladeshi pencil (109) indonesian bird (110) wool hat (111) steel brush (112) old knife (113) ancient ball (114) pyramidal green stapler (115) paper pencil (116) pyramidal maroon car key (117) new repulsive car (118) massive speaker (119) ridiculous fire extinguisher (120) rubber house (121) drinking ethiopian pen (122) good fire extinguisher (123) plastic car key (124) terrible canvas (125) leather box (126) old-fashioned nice necklace (127) typing earring (128) small rubber bed (129) white pen (130) ancient terrible speaker (131) typing table (132) circular bicycle (133) lovely jar (134) old terrible screwdriver (135) prismlike black hat (136) glass car (137) medium-size plastic bird (138) archaic box (139) archaic silly plate (140) indigo dog (141) brown sunglasses (142) magenta canvas (143) silly book (144) snorkeling flower pot (145) fiberglass sofa (146) prismlike plier (147) repulsive cup (148) walking bowl (149) little marker (150) iron sunglasses (151) eating shirt (152) old-fashioned ruler (153) mysterious necklace (154) archaic awful trash can (155) paper watch (156) spherical hat (157) nice banana (158) little house (159) triangular teal jar (160) driving ruler (161) iranian trash can (162) whittling mexican bird (163) pyramidal magenta drill (164) prismlike pen (165) whittling hammer (166) little banana (167) big chair (168) eating american saw (169) enormous bag (170) plastic piano (171) russian wrench (172) old awful ruler (173) square yellow bird (174) old-fashioned wrench (175) old camera (176) indian wallet (177) pyramidal canvas (178) filipino fire extinguisher (179) japanese massive good saw (180) fiberglass shoe (181) wood speaker (182) cardboard flower pot (183) ancient silly ball (184) iranian marker (185) steel pencil (186) old wonderful bed (187) normal-size plastic fork (188) indonesian watch (189) exercise bangladeshi drill (190) ancient terrible chair (191) enormous wallet (192) rectangular brown jar (193) pink bird (194) crimson hammer (195) brand-new scissors (196) egyptian clock (197) eating vietnamese speaker (198) magenta plier (199) ancient earring (200) russian spoon (201) old ball (202) massive steel calculator (203) ethiopian apple (204) square wrench (205) brand-new obnoxious fork (206) mysterious marker (207) large fiberglass drill (208) eating chinese bed (209) square teal speaker (210) old shirt\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) hiking american tiny cloth old nice circular piano\n(B) crimson triangular enormous iron old-fashioned obnoxious earring\n(C) prismlike huge wool old repulsive vietnamese typing umbrella\n(D) circular cyan midsize cloth archaic lovely pakistani shoe\n(E) exercise nigerian medium-size plastic brand-new repulsive black triangular saw\n(F) typing bangladeshi huge cardboard brand-new mysterious bicycle\n(G) drinking thai medium-size wool archaic repulsive maroon calculator\n(H) circular brown large cloth brand-new terrible canvas\n(I) prismlike gray medium-size cardboard old nice ethiopian walking sofa\n(J) snorkeling iranian massive fiberglass old-fashioned lovely triangular black book\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "378db5a80e342f9bec293ae0a9a450a1fccedfdd50f9ceeec2f44b2098bda30b",
    "id": "bbeh:hyperbaton:154",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pink wallet (2) cyan shirt (3) nigerian hammer (4) magenta normal-size dog (5) typing watch (6) big ball (7) pakistani candle (8) pyramidal whittling guitar (9) teal small shoe (10) triangular calculator (11) spherical exercise speaker (12) crimson brush (13) teal midsize pen (14) pyramidal hiking umbrella (15) circular hiking jar (16) magenta enormous bag (17) gray brush (18) cloth bird (19) ethiopian iron table (20) ancient pencil (21) triangular driving shoe (22) new screwdriver (23) smoking hammer (24) hiking brush (25) teal enormous plate (26) rectangular saw (27) snorkeling box (28) indonesian clock (29) prismlike book (30) magenta candle (31) magenta wallet (32) good stapler (33) spherical driving plate (34) spherical bottle (35) white large key (36) walking box (37) silly marker (38) wonderful old shirt (39) exercise brush (40) triangular clock (41) steel bottle (42) brand-new sofa (43) paper spoon (44) pyramidal typing bicycle (45) big pencil (46) wonderful jar (47) old shoe (48) ridiculous banana (49) terrible necklace (50) silly smoking pink marker (51) white necklace (52) lovely screwdriver (53) snorkeling hammer (54) german iron umbrella (55) ridiculous pencil (56) old scissors (57) rectangular bowl (58) nice jar (59) pyramidal wallet (60) pakistani fiberglass bed (61) iranian leather spoon (62) bangladeshi pen (63) pakistani car (64) tiny table (65) terrible shoe (66) mexican cardboard canvas (67) japanese paper necklace (68) white screwdriver (69) old-fashioned guitar (70) red tiny ruler (71) wonderful old key (72) spherical cup (73) ridiculous old-fashioned drill (74) blue huge banana (75) wool car key (76) german paper sunglasses (77) circular snorkeling calculator (78) plastic house (79) repulsive old piano (80) repulsive new bed (81) archaic prismlike big watch (82) snorkeling bag (83) fiberglass screwdriver (84) square wallet (85) wonderful ancient shirt (86) square lamp (87) plastic plier (88) spherical driving stapler (89) tiny candle (90) pink calculator (91) cyan cup (92) fiberglass earring (93) old sunglasses (94) walking saw (95) wood bowl (96) ethiopian stapler\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) ancient square exercise blue little german wood ball\n(B) terrible old-fashioned pyramidal driving indigo medium-size indonesian paper guitar\n(C) mysterious brand-new triangular typing black small paper jar\n(D) glass brazilian pyramidal walking green normal-size saw\n(E) mysterious ancient rectangular snorkeling teal midsize ball\n(F) brazilian paper spherical whittling crimson big new hat\n(G) terrible new square snorkeling brown enormous thai wrench\n(H) ethiopian spherical drinking cyan medium-size ancient lovely marker\n(I) square whittling crimson small bangladeshi iron bowl\n(J) turkish wood spherical driving yellow little camera\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "fe965dec3611e5ace039e5d92edc06c338e68bdbc53db21afcdbfc15a21d8577",
    "id": "bbeh:hyperbaton:158",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) blue toolbox (2) paper table (3) normal-size fork (4) prismlike jar (5) nice ring (6) ridiculous apple (7) rectangular canvas (8) leather sunglasses (9) snorkeling bicycle (10) german rectangular bowl (11) big nice marker (12) circular pencil (13) vietnamese bed (14) chinese table (15) tiny repulsive house (16) blue ring (17) black canvas (18) ancient leather sunglasses (19) large sunglasses (20) huge wonderful drill (21) blue shirt (22) german triangular flower pot (23) big piano (24) exercise cyan saw (25) cyan bicycle (26) archaic fire extinguisher (27) walking spoon (28) smoking piano (29) teal canvas (30) filipino umbrella (31) vietnamese spherical hat (32) snorkeling blue dog (33) pakistani chair (34) egyptian pyramidal guitar (35) brand-new bowl (36) yellow fork (37) iron small rectangular car key (38) repulsive stapler (39) medium-size wonderful fire extinguisher (40) vietnamese spherical sunglasses (41) cloth pen (42) brown pencil (43) hiking red car key (44) rectangular hat (45) drinking bottle (46) small wonderful plier (47) ethiopian speaker (48) maroon bottle (49) ancient glass toolbox (50) drinking aqua plate (51) typing aqua necklace (52) red camera (53) hiking guitar (54) normal-size bowl (55) turkish bicycle (56) square shoe (57) wool pen (58) tiny wonderful spoon (59) aqua apple (60) obnoxious necklace (61) circular scissors (62) old-fashioned leather box (63) massive stapler (64) wood camera (65) old key (66) huge drill (67) ridiculous brush (68) wonderful lamp (69) ancient pen (70) tiny sunglasses (71) egyptian drill (72) old-fashioned fiberglass table (73) ancient fiberglass brush (74) plastic vase (75) hiking magenta ring (76) archaic plastic car key (77) iron ring (78) old-fashioned wool marker (79) smoking shoe (80) cyan hat (81) filipino prismlike banana (82) small mysterious house (83) tiny plate (84) glass knife (85) snorkeling violet knife (86) triangular necklace (87) whittling black marker (88) nigerian flower pot (89) big silly bottle (90) exercise indigo bowl (91) cyan marker (92) tiny house (93) teal necklace (94) crimson bird (95) cardboard knife (96) driving piano (97) red bird (98) snorkeling apple (99) gray apple (100) enormous fire extinguisher (101) tiny fork (102) normal-size mysterious calculator (103) chinese pyramidal plier (104) steel toolbox (105) ancient fiberglass plate (106) russian spherical box (107) triangular car key (108) large silly hammer (109) awful candle (110) normal-size mysterious watch (111) large bottle (112) steel book (113) drinking plate (114) spherical car key (115) violet camera (116) gray dog (117) medium-size trash can (118) plastic shoe (119) egyptian wallet (120) leather pen (121) mexican stapler (122) plastic box (123) brand-new hat (124) typing umbrella (125) silly drill (126) indonesian key (127) cyan cup (128) snorkeling plate (129) nigerian bicycle (130) nice flower pot (131) indian dog (132) old-fashioned paper clock (133) new wood screwdriver (134) huge wrench (135) big terrible screwdriver (136) indonesian pyramidal banana (137) thai hammer (138) filipino wrench (139) silly calculator (140) medium-size apple (141) brand-new steel ball (142) exercise cup (143) eating violet jar (144) american square ball (145) exercise white lamp (146) ancient paper brush (147) big wrench (148) nice sunglasses (149) prismlike house (150) midsize bag (151) steel ruler (152) new wool car key (153) maroon banana (154) nigerian car (155) big repulsive ring (156) old-fashioned rubber trash can (157) vietnamese pencil (158) silly flower pot (159) walking gray umbrella (160) egyptian rectangular drill (161) yellow lamp (162) exercise plier (163) hiking cyan jar (164) small obnoxious box (165) indigo guitar (166) walking red sunglasses (167) rubber stapler (168) rubber bed (169) circular bag (170) tiny drill (171) rectangular banana (172) triangular car (173) thai sunglasses (174) wool umbrella (175) square book (176) iranian rectangular bottle (177) ancient sunglasses (178) ancient paper car key (179) eating indigo chair (180) driving speaker (181) russian vase (182) cardboard pen (183) enormous repulsive flower pot (184) congolese rectangular key (185) wood fire extinguisher (186) german prismlike watch (187) snorkeling house (188) brand-new piano (189) circular clock (190) brand-new terrible bangladeshi camera (191) glass fire extinguisher (192) chinese circular plate (193) large wonderful necklace (194) new paper canvas (195) ethiopian guitar (196) normal-size trash can (197) new bag (198) old candle (199) huge wonderful lamp\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) brand-new paper tiny silly ethiopian triangular drinking trash can\n(B) old-fashioned rubber huge awful indian triangular green shoe\n(C) typing crimson small lovely russian spherical glass table\n(D) little ridiculous ethiopian circular indigo exercise bed\n(E) new plastic medium-size obnoxious russian triangular violet hiking bicycle\n(F) huge awful pakistani prismlike whittling white calculator\n(G) old paper little good indian square car\n(H) iron enormous lovely brazilian pyramidal cyan walking fire extinguisher\n(I) whittling normal-size wonderful thai prismlike rubber ancient sofa\n(J) exercise maroon enormous lovely congolese rectangular bowl\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "f7dc9231cd3fdee2529adc3cc3737b04c67495f2ef768ea96abebe5119b23d45",
    "id": "bbeh:hyperbaton:160",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) small earring (2) obnoxious watch (3) japanese plastic clock (4) indigo dog (5) walking new piano (6) drinking ancient jar (7) fiberglass plier (8) triangular nice cup (9) iranian ball (10) maroon toolbox (11) snorkeling old-fashioned scissors (12) eating speaker (13) repulsive bicycle (14) yellow sunglasses (15) gray bowl (16) eating table (17) little blue piano (18) crimson plate (19) filipino vase (20) filipino banana (21) enormous gray hammer (22) pyramidal repulsive shoe (23) filipino wrench (24) square silly drill (25) american bird (26) indigo trash can (27) circular lamp (28) big bed (29) huge trash can (30) pyramidal toolbox (31) russian ball (32) egyptian rubber table (33) japanese paper fire extinguisher (34) eating old marker (35) magenta earring (36) drinking archaic drill (37) iron fork (38) obnoxious book (39) glass lamp (40) pink banana (41) awful watch (42) vietnamese car (43) enormous toolbox (44) rubber saw (45) cardboard pencil (46) magenta brazilian good scissors (47) large shoe (48) midsize blue lamp (49) rubber canvas (50) tiny plastic circular clock (51) spherical mysterious canvas (52) enormous umbrella (53) brand-new house (54) rectangular car key (55) cardboard stapler (56) drinking old-fashioned saw (57) new canvas (58) lovely box (59) walking stapler (60) awful candle (61) iranian plate (62) wood vase (63) square speaker (64) prismlike bag (65) repulsive hammer (66) plastic bed (67) vietnamese paper bed (68) obnoxious brush (69) ancient toolbox (70) little stapler (71) indigo table (72) brand-new fork (73) snorkeling ring (74) congolese fiberglass lamp (75) plastic bowl (76) japanese fiberglass calculator (77) ancient trash can (78) rectangular plate (79) steel candle (80) gray ball (81) fiberglass ruler (82) circular saw (83) prismlike nice wrench (84) mysterious earring (85) german wool camera (86) pyramidal ruler (87) spherical awful lamp (88) gray sofa (89) huge sofa (90) wool toolbox (91) wood shirt (92) walking dog (93) brazilian steel banana (94) pyramidal silly sofa (95) plastic car key (96) indonesian stapler (97) new box (98) tiny canvas (99) square vase (100) german wood apple (101) old camera (102) smoking old screwdriver (103) square bottle (104) typing archaic ring (105) drinking ancient pen\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) red american fiberglass circular nice hiking old-fashioned canvas\n(B) hiking brand-new bangladeshi leather rectangular nice maroon stapler\n(C) midsize maroon filipino fiberglass circular silly screwdriver\n(D) midsize white brazilian cardboard circular nice old-fashioned sunglasses\n(E) small crimson chinese wool triangular obnoxious hiking new toolbox\n(F) walking ancient indonesian fiberglass circular ridiculous marker\n(G) indonesian leather spherical repulsive hiking brand-new plate\n(H) exercise old-fashioned egyptian wood rectangular lovely aqua little ring\n(I) brand-new snorkeling japanese steel triangular terrible maroon speaker\n(J) massive violet mexican fiberglass spherical terrible archaic smoking camera\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "af4565a9462a7c14ca6e24211e12f8cc094714a6226966b86e21816c5626e646",
    "id": "bbeh:hyperbaton:172",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) eating camera (2) iranian wallet (3) indonesian screwdriver (4) ancient leather earring (5) lovely car (6) old bowl (7) big egyptian table (8) spherical terrible table (9) hiking white jar (10) driving teal book (11) new cloth wrench (12) ancient rubber key (13) iron plier (14) steel bowl (15) pyramidal piano (16) midsize congolese drill (17) walking black camera (18) wonderful calculator (19) cardboard camera (20) driving brown umbrella (21) walking jar (22) normal-size russian candle (23) snorkeling magenta screwdriver (24) new calculator (25) typing candle (26) ridiculous wrench (27) pyramidal lovely ring (28) steel chair (29) square marker (30) hiking black toolbox (31) brand-new shoe (32) circular ridiculous marker (33) hiking indigo watch (34) normal-size spoon (35) rectangular watch (36) big nigerian calculator (37) pakistani wrench (38) cloth earring (39) circular lovely piano (40) archaic wrench (41) eating aqua sunglasses (42) old brush (43) whittling box (44) paper bag (45) nice pencil (46) triangular repulsive plate (47) blue apple (48) driving umbrella (49) prismlike repulsive necklace (50) wool car key (51) huge cardboard circular knife (52) wonderful watch (53) awful bag (54) awful jar (55) big brazilian saw (56) rectangular ball (57) enormous filipino ball (58) brand-new bed (59) old-fashioned vase (60) enormous filipino sofa (61) wonderful toolbox (62) snorkeling cyan car key (63) pyramidal jar (64) ancient plastic saw (65) spherical obnoxious hammer (66) normal-size book (67) eating plier (68) german chair (69) huge chinese bird (70) new steel wallet (71) old paper fork (72) silly marker (73) wool house (74) spherical hammer (75) snorkeling blue sofa (76) drinking violet guitar (77) new steel ruler (78) spherical banana (79) snorkeling bowl (80) mexican new lovely table\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) typing red old iron prismlike mysterious vietnamese enormous plier\n(B) eating red ancient wool rectangular ridiculous cup\n(C) small filipino archaic wool triangular good brown pencil\n(D) massive turkish old-fashioned fiberglass circular wonderful whittling aqua earring\n(E) massive mexican archaic leather rectangular terrible aqua walking wallet\n(F) black eating archaic iron prismlike terrible nigerian lamp\n(G) maroon walking old-fashioned leather square obnoxious turkish normal-size sunglasses\n(H) japanese new wool rectangular mysterious crimson hiking camera\n(I) cyan exercise ancient glass spherical terrible wrench\n(J) normal-size chinese archaic wool triangular mysterious ball\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "cbd57ddd61526eb311668f21616a117e39681dd935a4a9e8842e0021248ae873",
    "id": "bbeh:hyperbaton:177",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) crimson piano (2) spherical fire extinguisher (3) magenta vase (4) russian knife (5) nigerian candle (6) aqua scissors (7) tiny jar (8) wood umbrella (9) big bowl (10) spherical umbrella (11) normal-size necklace (12) pakistani square jar (13) massive box (14) lovely piano (15) thai prismlike fire extinguisher (16) medium-size pencil (17) indigo lovely key (18) little sunglasses (19) leather trash can (20) pyramidal cup (21) fiberglass saw (22) pakistani car (23) green shirt (24) square key (25) wood cup (26) gray terrible screwdriver (27) lovely wrench (28) wood old banana (29) leather cup (30) huge drinking apple (31) wood old-fashioned car (32) pyramidal camera (33) small bird (34) steel archaic bag (35) cloth new vase (36) paper dog (37) indonesian spherical vase (38) whittling calculator (39) pakistani circular watch (40) spherical bicycle (41) terrible trash can (42) hiking wrench (43) black marker (44) large snorkeling bowl (45) congolese circular plate (46) silly piano (47) prismlike banana (48) midsize bird (49) plastic old-fashioned car (50) silly shirt (51) midsize calculator (52) pink camera (53) iron archaic book (54) filipino pyramidal canvas (55) midsize ball (56) square house (57) prismlike shoe (58) circular wrench (59) normal-size snorkeling umbrella (60) snorkeling plate (61) ancient pencil (62) ridiculous ball (63) fiberglass plier (64) smoking earring (65) new bag (66) triangular sofa (67) eating toolbox (68) tiny earring (69) smoking piano (70) circular calculator (71) rubber new trash can (72) bangladeshi spoon (73) russian shoe (74) rubber terrible iranian clock (75) drinking candle (76) typing guitar (77) enormous hiking vase (78) ethiopian circular drill (79) old bag (80) rectangular bird (81) iron archaic drill (82) lovely hat (83) eating sofa (84) pakistani rectangular calculator (85) bangladeshi car (86) spherical plier (87) brown obnoxious box (88) congolese spherical clock (89) repulsive knife (90) rubber new shoe (91) old-fashioned key (92) cloth brand-new pen (93) japanese circular speaker (94) ancient table (95) old-fashioned house (96) brand-new magenta circular canvas (97) big driving spoon (98) pakistani apple (99) fiberglass ancient candle (100) wool plate (101) white bowl (102) medium-size calculator (103) cardboard wrench (104) wool canvas (105) indonesian spherical stapler (106) ethiopian rectangular necklace (107) vietnamese rectangular cup (108) normal-size drinking plate (109) red car key (110) cyan guitar (111) ethiopian necklace (112) bangladeshi apple (113) huge typing bed (114) archaic cup (115) huge bottle (116) rubber old-fashioned jar (117) congolese spherical jar (118) old bird (119) prismlike chair (120) japanese square umbrella (121) brand-new wrench (122) filipino necklace (123) indonesian umbrella (124) tiny fire extinguisher (125) spherical jar (126) triangular toolbox (127) russian box (128) paper new flower pot (129) brand-new hat (130) smoking box (131) cyan bed (132) thai pyramidal plier (133) gray obnoxious drill (134) little snorkeling toolbox (135) congolese shirt (136) wood bed (137) circular camera (138) prismlike key (139) archaic wallet (140) plastic box (141) driving banana (142) spherical canvas (143) rectangular sofa (144) little exercise lamp (145) small key (146) medium-size bag (147) magenta terrible book (148) triangular plate (149) ethiopian triangular candle (150) lovely screwdriver (151) drinking watch (152) indonesian car key (153) archaic book (154) brown lovely bicycle (155) typing bag (156) paper jar (157) russian pyramidal table (158) ethiopian pyramidal clock (159) cyan wonderful necklace (160) american rectangular table (161) massive flower pot (162) new sunglasses (163) yellow ridiculous umbrella (164) iron archaic knife (165) american prismlike car key (166) plastic lamp (167) normal-size snorkeling watch (168) wood new wallet (169) gray ring (170) little eating screwdriver (171) green pen (172) turkish prismlike spoon (173) steel old-fashioned box (174) circular toolbox (175) wool umbrella (176) cloth old-fashioned fork (177) nice plate (178) violet shoe (179) white book (180) violet jar (181) obnoxious piano (182) yellow terrible key (183) typing knife (184) eating cup\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) cardboard old-fashioned maroon wonderful ethiopian square fire extinguisher\n(B) small typing green lovely congolese prismlike old chair\n(C) snorkeling big indigo wonderful pakistani square new plastic guitar\n(D) leather new gray awful iranian circular snorkeling car\n(E) new magenta mysterious egyptian circular typing midsize saw\n(F) eating black ridiculous nigerian prismlike ancient plastic car key\n(G) violet lovely pakistani rectangular small driving banana\n(H) fiberglass brand-new indigo ridiculous pakistani circular exercise small lamp\n(I) white ridiculous iranian rectangular snorkeling huge apple\n(J) typing big maroon obnoxious pakistani prismlike new marker\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "8b6bfede94d34b507b4c7d657e31d21eff2ebfe9b9b37eb56bfa022555ae50dd",
    "id": "bbeh:hyperbaton:178",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brown hat (2) medium-size pencil (3) vietnamese hat (4) pakistani blue jar (5) circular stapler (6) pakistani dog (7) mexican wrench (8) yellow key (9) enormous table (10) brand-new lamp (11) rubber brand-new bag (12) cloth toolbox (13) chinese maroon bicycle (14) rectangular hiking bottle (15) walking umbrella (16) vietnamese wrench (17) little toolbox (18) medium-size repulsive stapler (19) spherical shoe (20) leather scissors (21) old-fashioned wrench (22) thai red fire extinguisher (23) pyramidal trash can (24) archaic speaker (25) circular exercise plier (26) yellow stapler (27) rectangular dog (28) exercise earring (29) thai bicycle (30) chinese teal canvas (31) black wrench (32) old-fashioned banana (33) massive bird (34) old-fashioned ball (35) leather archaic speaker (36) nigerian ring (37) big ridiculous shoe (38) prismlike guitar (39) prismlike exercise camera (40) pakistani aqua bed (41) triangular table (42) triangular drill (43) big silly wrench (44) teal trash can (45) huge good table (46) driving trash can (47) square exercise bird (48) driving key (49) cyan camera (50) square driving earring (51) massive awful candle (52) wonderful ruler (53) triangular walking plate (54) circular earring (55) maroon shirt (56) drinking vase (57) blue fire extinguisher (58) vietnamese teal toolbox (59) maroon plate (60) cardboard marker (61) normal-size good flower pot (62) indigo toolbox (63) cloth ancient shoe (64) rectangular obnoxious leather necklace (65) russian indigo flower pot (66) little wallet (67) typing normal-size brand-new plier (68) paper pen (69) ridiculous marker (70) blue box (71) pyramidal plier (72) fiberglass calculator (73) square smoking fire extinguisher (74) plastic saw (75) mexican book (76) circular vase (77) russian black stapler (78) rubber archaic table (79) wool old banana (80) rectangular pencil (81) normal-size nice bag (82) american bird (83) massive ridiculous plate (84) american red table (85) prismlike driving bowl (86) iron bag (87) fiberglass old-fashioned spoon (88) vietnamese indigo camera (89) drinking shirt (90) green necklace (91) awful knife (92) big awful toolbox (93) iron wallet (94) egyptian magenta bowl (95) cardboard ancient house (96) hiking necklace (97) huge speaker (98) steel brand-new cup (99) spherical walking vase (100) enormous nice speaker (101) lovely sofa (102) good plier (103) cardboard hammer (104) indian white guitar (105) good candle (106) huge silly bag (107) ridiculous sofa (108) cardboard saw (109) archaic plier (110) terrible ring (111) new guitar (112) turkish black hat (113) magenta hat (114) enormous mysterious table (115) square earring (116) little terrible fork (117) cardboard archaic wallet (118) wood shirt (119) cardboard old drill (120) filipino box (121) square smoking brush (122) enormous flower pot (123) eating spoon (124) square exercise wrench (125) old cup (126) russian red wrench (127) pyramidal driving necklace (128) enormous calculator (129) huge apple (130) thai violet screwdriver (131) prismlike bed (132) drinking camera (133) tiny repulsive knife (134) glass old car key (135) rubber new knife (136) normal-size screwdriver (137) spherical shirt (138) lovely sunglasses (139) rubber new sofa (140) big silly sunglasses (141) brand-new banana (142) teal plier (143) plastic umbrella (144) cloth old-fashioned house (145) blue shoe (146) brazilian aqua watch (147) triangular dog (148) little silly car key (149) thai canvas (150) massive repulsive scissors (151) wool brand-new apple (152) square eating bird (153) massive awful dog (154) egyptian teal canvas (155) repulsive watch (156) wool bed (157) driving piano (158) new watch (159) smoking shirt (160) repulsive camera (161) paper old-fashioned apple (162) ancient wrench (163) congolese crimson speaker (164) small necklace\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) enormous repulsive wood new pakistani red screwdriver\n(B) japanese big repulsive paper old exercise spherical camera\n(C) prismlike eating large wonderful glass brand-new iranian jar\n(D) nigerian blue huge lovely fiberglass brand-new drinking rectangular bowl\n(E) prismlike exercise big awful leather new pencil\n(F) yellow pakistani enormous ridiculous wood brand-new earring\n(G) normal-size repulsive cloth old magenta indonesian trash can\n(H) rectangular hiking medium-size repulsive wood old green pencil\n(I) prismlike exercise enormous ridiculous fiberglass ancient gray egyptian wrench\n(J) whittling massive ridiculous cardboard new maroon thai piano\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "15e340762420b1191776b999f28b89a0c11a995778a9dc9579ef25f567a2eb5b",
    "id": "bbeh:hyperbaton:183",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) egyptian old-fashioned candle (2) violet necklace (3) aqua car (4) archaic book (5) red key (6) paper maroon wallet (7) brazilian old-fashioned calculator (8) aqua spoon (9) thai spoon (10) smoking prismlike box (11) silly pencil (12) plastic hat (13) wood bird (14) eating screwdriver (15) egyptian old-fashioned umbrella (16) pyramidal book (17) eating toolbox (18) massive drill (19) square sunglasses (20) eating triangular table (21) wool indigo shirt (22) american canvas (23) terrible hat (24) eating brush (25) enormous calculator (26) repulsive house (27) mysterious spoon (28) leather blue umbrella (29) wool bird (30) square ring (31) brazilian old-fashioned trash can (32) cardboard violet ring (33) iron bottle (34) medium-size lovely jar (35) glass violet pencil (36) plastic fork (37) wool pencil (38) steel banana (39) square bag (40) nice sofa (41) small marker (42) snorkeling banana (43) wool sofa (44) violet ring (45) square toolbox (46) medium-size trash can (47) circular jar (48) new candle (49) normal-size pencil (50) typing rectangular speaker (51) iron car (52) big silly car key (53) steel black candle (54) big good calculator (55) japanese jar (56) old-fashioned cup (57) paper yellow dog (58) mysterious flower pot (59) typing prismlike clock (60) thai old-fashioned house (61) wood book (62) normal-size car key (63) huge terrible dog (64) smoking piano (65) mysterious hat (66) tiny wonderful candle (67) tiny lovely bottle (68) eating fork (69) square guitar (70) bangladeshi old-fashioned car (71) eating piano (72) midsize candle (73) eating spherical vase (74) japanese vase (75) brazilian brand-new umbrella (76) circular wrench (77) snorkeling jar (78) thai old-fashioned bag (79) snorkeling bird (80) small sunglasses (81) wonderful vase (82) chinese old canvas (83) nigerian car key (84) leather umbrella (85) typing prismlike saw (86) little nice stapler (87) ethiopian old-fashioned pencil (88) driving bed (89) massive banana (90) leather sunglasses (91) terrible umbrella (92) square chair (93) brazilian ancient plier (94) walking stapler (95) drinking cup (96) rectangular bottle (97) big box (98) vietnamese awful iron bed (99) wonderful ring (100) wool jar (101) prismlike bag (102) little ring (103) archaic camera (104) whittling trash can (105) hiking fire extinguisher (106) filipino archaic wrench (107) little canvas (108) little wallet (109) massive good spoon (110) wool drill (111) snorkeling circular cup (112) archaic calculator (113) spherical screwdriver (114) ancient large pink marker (115) drinking necklace (116) driving key (117) brand-new table (118) eating circular flower pot (119) circular key (120) normal-size hat (121) brown wrench (122) glass wallet (123) rubber house (124) eating prismlike spoon (125) midsize obnoxious umbrella (126) square wrench (127) terrible sofa (128) iron yellow earring (129) normal-size earring (130) ancient canvas (131) old screwdriver (132) cyan shoe (133) ancient book (134) midsize banana (135) rectangular shoe (136) hiking vase (137) drinking bicycle (138) ethiopian ball (139) new bottle (140) exercise clock (141) midsize terrible knife (142) brand-new trash can (143) exercise pen (144) thai brand-new fire extinguisher (145) rectangular table (146) wool maroon scissors (147) wood lamp (148) pakistani old key (149) egyptian brand-new shoe (150) nice hat (151) pakistani bicycle (152) spherical scissors (153) eating rectangular wrench (154) cloth pink hat (155) ancient flower pot (156) big necklace (157) aqua dog (158) wood knife (159) mysterious knife (160) steel hammer (161) terrible house (162) wood pink fire extinguisher (163) russian scissors (164) square umbrella (165) spherical pencil (166) paper red fire extinguisher (167) drinking drill (168) paper bowl (169) drinking circular bicycle (170) driving circular piano (171) little screwdriver (172) normal-size terrible plier (173) ancient ball (174) normal-size mysterious ruler (175) indigo flower pot (176) drinking bed (177) chinese watch (178) pyramidal spoon (179) normal-size nice lamp (180) leather bottle (181) american speaker (182) cardboard bicycle (183) rubber teal trash can (184) new shirt (185) nigerian banana (186) spherical bowl (187) driving spoon (188) wood red ring (189) indian brand-new jar (190) pyramidal cup (191) smoking stapler (192) crimson piano (193) chinese drill (194) nigerian old-fashioned knife (195) wonderful book (196) exercise prismlike cup (197) wonderful knife (198) mexican cup (199) white camera (200) typing jar (201) old-fashioned wrench (202) large obnoxious bag (203) normal-size bottle (204) new cup (205) prismlike fork (206) big awful calculator (207) massive vase (208) cloth yellow piano (209) lovely bird (210) steel violet stapler (211) ancient wallet (212) medium-size hammer (213) little car (214) egyptian car (215) steel jar (216) exercise square spoon (217) medium-size obnoxious knife (218) congolese new drill (219) pyramidal speaker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) walking little wonderful fiberglass yellow old vietnamese shoe\n(B) ancient huge ridiculous wool maroon smoking prismlike banana\n(C) typing rectangular large silly steel red new nigerian bicycle\n(D) circular exercise midsize lovely cardboard yellow new indonesian pencil\n(E) whittling rectangular enormous silly rubber yellow box\n(F) pakistani brand-new tiny mysterious rubber crimson knife\n(G) small good wool brown drinking rectangular marker\n(H) archaic enormous silly leather indigo prismlike snorkeling shoe\n(I) indian old large obnoxious plastic teal drinking clock\n(J) indian brand-new small obnoxious cardboard magenta spherical walking speaker\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "01ef46adf6dab50e065a4eaf2c4c260f8bcb13068a06349bf223a3b7ccc35414",
    "id": "bbeh:hyperbaton:190",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brown book (2) chinese cloth hammer (3) huge plate (4) small shirt (5) old blue pencil (6) old scissors (7) ancient fire extinguisher (8) walking scissors (9) medium-size shoe (10) old umbrella (11) brazilian leather table (12) normal-size umbrella (13) nice drinking apple (14) fiberglass fork (15) old-fashioned toolbox (16) ancient wallet (17) ethiopian paper bird (18) brand-new car key (19) ancient blue shoe (20) mexican cardboard drill (21) old drill (22) awful exercise wrench (23) brown wallet (24) ancient lamp (25) spherical cup (26) teal car (27) brand-new necklace (28) brand-new brown trash can (29) large bird (30) turkish steel flower pot (31) spherical shoe (32) brand-new magenta bed (33) leather speaker (34) obnoxious sofa (35) russian iron speaker (36) silly exercise umbrella (37) walking bottle (38) spherical normal-size stapler (39) vietnamese iron piano (40) silly book (41) whittling drill (42) silly chair (43) whittling chair (44) red bowl (45) prismlike normal-size key (46) good car (47) magenta calculator (48) ridiculous walking bag (49) square medium-size pen (50) drinking candle (51) tiny shoe (52) square ball (53) white car (54) ancient pink speaker (55) small scissors (56) old gray sunglasses (57) circular jar (58) archaic candle (59) typing pencil (60) archaic toolbox (61) violet key (62) midsize house (63) bangladeshi cloth wallet (64) ancient green hammer (65) walking car key (66) brand-new magenta pencil (67) pakistani plastic brush (68) lovely drinking watch (69) chinese cardboard cup (70) rectangular big pencil (71) brazilian hammer (72) brazilian trash can (73) drinking ruler (74) brand-new apple (75) triangular cup (76) driving toolbox (77) triangular canvas (78) little box (79) snorkeling lamp (80) driving wallet (81) square earring (82) mysterious banana (83) huge ring (84) drinking apple (85) rectangular sunglasses (86) square normal-size ball (87) massive plate (88) nigerian drill (89) enormous umbrella (90) triangular large lamp (91) russian chair (92) triangular midsize chair (93) whittling brush (94) nice drinking table (95) circular guitar (96) thai wool bowl (97) ridiculous drinking ruler (98) hiking ruler (99) congolese screwdriver (100) walking spoon (101) square medium-size camera (102) walking sofa (103) terrible table (104) terrible bag (105) old house (106) pyramidal bed (107) rectangular massive car key (108) filipino leather flower pot (109) smoking plier (110) awful shoe (111) plastic lamp (112) violet sofa (113) new white bed (114) pakistani wool earring (115) circular medium-size marker (116) russian banana (117) big bird (118) prismlike car (119) new crimson bed (120) lovely drinking pen (121) aqua umbrella (122) brand-new calculator (123) blue plier (124) thai flower pot (125) brand-new bed (126) massive sunglasses (127) silly walking shoe (128) iron hat (129) violet hammer (130) vietnamese cardboard guitar (131) leather bed (132) old marker (133) old clock (134) ancient stapler (135) brazilian piano (136) mysterious speaker (137) good hiking earring (138) prismlike small vase (139) brand-new brush (140) brand-new red brush (141) vietnamese table (142) ancient pink dog (143) awful bicycle (144) chinese cloth chair (145) german cardboard wallet (146) circular enormous apple (147) old bag (148) new flower pot (149) spherical midsize camera (150) rubber fork (151) walking knife (152) brand-new yellow fire extinguisher (153) tiny plate (154) cardboard ball (155) medium-size necklace (156) circular clock (157) pyramidal midsize camera (158) repulsive camera (159) ancient ruler (160) fiberglass apple (161) exercise scissors (162) fiberglass key (163) ethiopian leather canvas (164) lovely driving house (165) pyramidal ball (166) steel sunglasses (167) new box (168) glass hammer (169) eating bowl (170) indonesian brush (171) wonderful eating plier (172) repulsive house (173) spherical ball (174) red sofa (175) terrible banana (176) spherical normal-size sunglasses (177) magenta house (178) steel banana (179) turkish leather bird (180) silly candle (181) good calculator (182) old-fashioned indigo spoon (183) teal necklace (184) awful canvas (185) triangular spoon (186) tiny vase (187) hiking guitar (188) nice lamp (189) indian glass vase (190) large hammer (191) triangular massive spoon (192) triangular sunglasses (193) russian leather stapler (194) plastic jar (195) rectangular tiny scissors (196) wonderful necklace (197) bangladeshi wool calculator (198) mysterious whittling drill (199) little car (200) ancient aqua screwdriver (201) square normal-size sunglasses (202) brand-new indigo clock (203) wonderful whittling trash can (204) indian cardboard bottle (205) big house (206) mexican lamp (207) massive flower pot (208) pyramidal spoon (209) triangular speaker (210) good snorkeling flower pot (211) eating filipino maroon dog (212) indonesian car (213) whittling shoe (214) enormous shoe (215) circular enormous candle (216) pyramidal umbrella (217) japanese car key (218) iranian glass stapler (219) normal-size calculator (220) vietnamese pencil (221) ethiopian wrench (222) black toolbox (223) snorkeling bowl (224) blue guitar (225) chinese cardboard jar (226) silly snorkeling shirt (227) eating lamp (228) ridiculous walking ball (229) mysterious cardboard archaic plate (230) wood speaker (231) rectangular brush (232) repulsive driving scissors (233) magenta drill (234) rectangular earring (235) archaic earring (236) driving hammer (237) indian wallet (238) filipino book (239) rectangular little ruler (240) whittling sunglasses (241) silly hiking flower pot (242) ancient violet bird (243) tiny clock (244) pyramidal clock (245) exercise trash can (246) pyramidal bowl (247) spherical bottle\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) huge pyramidal congolese glass ancient black typing obnoxious car key\n(B) pyramidal massive bangladeshi fiberglass archaic yellow pen\n(C) walking filipino cardboard new yellow circular little table\n(D) silly driving egyptian fiberglass archaic yellow ruler\n(E) big mexican iron ancient red hiking obnoxious sunglasses\n(F) medium-size circular ethiopian wood new maroon brush\n(G) pyramidal mexican plastic brand-new white drinking lovely fork\n(H) repulsive whittling chinese iron old-fashioned blue medium-size pyramidal sunglasses\n(I) mysterious snorkeling thai wood ancient yellow square big hammer\n(J) lovely drinking japanese rubber ancient gray midsize fire extinguisher\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "55a8e35ff6888a612ac3a42c79bbf5843fb18dc8b23de61889c302c49f9b9a7f",
    "id": "bbeh:hyperbaton:195",
    "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) ancient bicycle (2) nice apple (3) spherical necklace (4) whittling bicycle (5) massive bag (6) gray clock (7) brown bottle (8) wonderful watch (9) good gray archaic piano (10) enormous box (11) lovely table (12) obnoxious sofa (13) indian ball (14) gray pen (15) mysterious toolbox (16) yellow stapler (17) massive table (18) indigo box (19) massive yellow bottle (20) new brush (21) good drinking bird (22) pyramidal cup (23) big maroon camera (24) cardboard knife (25) hiking car key (26) enormous violet watch (27) blue brush (28) pyramidal saw (29) glass vietnamese drill (30) lovely snorkeling banana (31) ancient spherical fire extinguisher (32) green fork (33) old-fashioned spherical toolbox (34) old-fashioned ruler (35) brand-new square jar (36) brand-new bottle (37) steel banana (38) good typing house (39) fiberglass candle (40) silly exercise bag (41) awful sunglasses (42) circular piano (43) new vase (44) steel turkish fire extinguisher (45) iron russian car (46) egyptian candle (47) silly snorkeling fork (48) huge green shoe (49) square table (50) new ball (51) red knife (52) silly eating hat (53) cloth candle (54) steel thai house (55) prismlike fire extinguisher (56) archaic guitar (57) maroon spoon (58) brand-new circular toolbox (59) brand-new pyramidal watch (60) lovely earring (61) silly sunglasses (62) huge indigo brush (63) whittling saw (64) midsize black pen (65) small wallet (66) prismlike sunglasses (67) wonderful whittling drill (68) terrible bicycle (69) steel bangladeshi screwdriver (70) gray ball (71) enormous umbrella (72) awful house (73) typing banana (74) old table (75) tiny wallet (76) congolese cup (77) wool iranian stapler (78) medium-size candle (79) ancient rectangular earring (80) plastic thai box (81) blue pencil (82) big black jar (83) rubber russian calculator (84) aqua hammer (85) good screwdriver (86) iron ethiopian saw (87) obnoxious box (88) wood umbrella (89) normal-size teal flower pot (90) iranian marker (91) ridiculous typing wrench (92) small cyan sunglasses (93) eating wallet (94) huge yellow dog (95) awful whittling candle (96) silly bowl (97) old prismlike canvas (98) silly whittling sofa (99) brand-new toolbox (100) thai car key (101) russian drill (102) exercise stapler (103) terrible smoking watch (104) eating flower pot (105) american knife (106) massive bottle (107) normal-size bottle (108) huge crimson sunglasses (109) old-fashioned pyramidal shirt (110) old triangular bag (111) brown plier (112) midsize brush (113) archaic calculator (114) rectangular umbrella (115) american speaker (116) ancient spherical earring (117) nice snorkeling stapler (118) prismlike piano (119) big maroon scissors (120) ancient fire extinguisher (121) triangular brush (122) tiny wrench (123) vietnamese speaker (124) pyramidal canvas (125) ancient circular apple (126) congolese sunglasses (127) driving midsize rectangular toolbox (128) maroon canvas (129) old book (130) steel russian scissors (131) good table (132) terrible hiking screwdriver (133) walking bottle (134) repulsive pen (135) large crimson bird (136) mysterious banana (137) hiking earring (138) normal-size cup (139) obnoxious screwdriver (140) brand-new spherical screwdriver (141) indonesian bag (142) fiberglass indian book (143) spherical jar (144) normal-size maroon banana (145) pakistani ball (146) new calculator (147) egyptian camera (148) brand-new fire extinguisher (149) wonderful scissors (150) brown scissors\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) nice typing big yellow new rectangular wool box\n(B) silly whittling little gray archaic square vietnamese bird\n(C) mexican medium-size violet ancient spherical typing silly bicycle\n(D) plastic large blue old-fashioned rectangular whittling good flower pot\n(E) wood turkish tiny pink archaic prismlike whittling ruler\n(F) silly hiking medium-size black old-fashioned spherical mexican steel necklace\n(G) terrible eating midsize green brand-new prismlike ruler\n(H) filipino paper small violet new spherical snorkeling lamp\n(I) snorkeling little brown old circular plastic american sunglasses\n(J) japanese glass midsize aqua brand-new spherical flower pot\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "hyperbaton"
  },
  {
    "dataset": "bbeh",
    "family": "a4fd556fc3142100a5bede49f4a9b41830fabdf18312832196f10bcd03b6dc8a",
    "id": "bbeh:linguini:002",
    "request": "Here are some sentences in Coastal Marind and their English translations:\n\n1. ob-dahetok | You_{sg} really returned.\n2. nake-dahetok | We returned.\n3. nambat-ihwin | Aw, I cried.\n4. nambe-otab | We really chased you_{pl} away.\n5. um-kulaɣawn | He laughed at you_{sg} in vain.\n6. e-keseh | You_{pl} spat on him.\n7. ubate-huɣanab | Aw, you_{sg} silenced us.\n8. nakum-hoɣab | I silenced you_{pl} in vain.\n9. nambame-ɣadaɣawn | Oh, we left you_{sg} behind!\n10. ebe-ɣadanawn | You_{pl} really left us behind.\n11. ibatum-ɣadewn | Aw, you_{pl} left him behind in vain.\n12. a-isanab | He cut me in half.\n13. obam-eseb | Oh, you_{sg} cut him in half!\n\nThe following verbs have a grammatical difference from the verbs above:\n\n14. bate-tamanab | Aw, we floated to the surface.\n15. ba-tamab | You_{pl} really floated to the surface.\n16. a-ɣuyaɣah | You_{sg} shuddered.\n17. bam-ɣuyanah | Oh, I shuddered!\n\nTranslate into English:\nba-ihwin\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "5d56347a7ac8b2b80f7c57cb226df4cdcd69c9a9499a9175385a4f7ebb4f6bc2",
    "id": "bbeh:linguini:004",
    "request": "Here are some verb forms of the Beslenei dialect of Kabardian (subdialect of Ulyap village, Republic of Adygea) in Roman transcription with stress marked and their English translations:\n\ndefə́n | to be able to sew\ngʷəš’əʔén | to speak\nmáde | (he/she) is sewing\nmášxe | (he/she) is eating\nmec̣ántꭓʷe | (he/she) is sliding\nmegʷəš’əʔéf | (he/she) is able to speak\nmes | (he/she) is burning\nmebəbə́pe | (he/she) really is flying\nmešxápe | (he/she) really is eating\nmeʒeq̇áfe | (he/she) is pretending to bite\nsən | to burn\nṭəgʷərəgʷə́n | to tremble\n\nTranslate into English:\nʒeq̇én\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:008",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (11), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "364741bb0e17953a844e8e912babc24aaca015f43dda4b1a14dc56a672da46c1",
    "id": "bbeh:linguini:012",
    "request": "Agbirigba is a cant, or secret language, used by around 30 speakers of the Ogbakiri dialect of the Ikwerre language. Here are some words in the Ogbakiri dialect, along with their Agbirigba forms and translations:\n\nOgbakiri | Agbirigba | \nńdá | ńtʊ́dá | father\nbі́sі́ | túbі́tі́sі́ | poison\nɔyɔ̀ | ɔ̀tɪ̀yɔ̀ | amicable gesture\nḿbɔ́rɔ̂ | ńtʊ́bɔ́tʊ́rɔ̀ | dream\nɔ́ʧɪ́ | ɔ́tɪʧɪ́ ́ | leg\nòtṹ | òtṹtṹ | to look for\nmі̃́nі̃́ | tі̃́mі̃́tі̃́nі̃́ | water\nwẽ̀rũ̀ | tũ̀wẽ̀tũ̀rũ̀ | to have\nɛ̀bɔɔ́ | ɛ̀tʊ́bɔ́ | two\nàwâ | àtʊ́wà | to break\nrі́mẽ́ | tі́rі́tṹmẽ́ | inside\nmɔ̃́nɔ̃̂ | tʊ̃́mɔ̃́tʊ̃́nɔ̃̀ | oil\nі́bèrè | і́tùbètі̀rè | belch\náyã̂ | átɪ̃́yã̀ | eye\nɔ́nʊ̃́ | ɔ́tʊ̃́nʊ̃́ | mouth\nmɔ̃́yɔ̃̂ | tʊ̃́mɔ̃́tɪ̃́yɔ̃̀ | urine\nŋ̀gàdã́ | ǹtʊ̀gàtʊ̃́dã́ | chair\nɔ́mɪ̃̀rɪ̃̀mã̀ | ɔ́tʊ̃̀mɪ̃̀tɪ̃̀rɪ̃̀tʊ̃̀mã̀ | meat, flesh\nàgɪ̀rɪ̀gɔ̀ | àtɪ̀gɪ̀tɪ̀rɪ̀tʊ̀gɔ̀ | defiance\nwẽ́nẽ́ | tṹwẽ́tі̃́nẽ́ | siblinghood\n\nGive the Agbirigba forms of the following Ogbakiri words:\nbɛ́kʷʊ̃́ | fire\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "7980f1de4d9eab4954f1034002d0b4037d13c8e963d2e022b173f092b5e993bc",
    "id": "bbeh:linguini:021",
    "request": "The squares of the numbers 1 to 10 are spelt out in the Ndom language, in arbitrary order:\n\nnif abo mer an thef abo sas\nnif thef abo tondor abo mer abo thonith\nmer an thef abo thonith\nnif\nmer abo ithin\nthonith\nsas\nnif thef abo mer abo ithin\nnif abo tondor abo mer abo thonith\ntondor abo mer abo sas\n\nWrite in numerals: mer an thef abo meregh.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:026",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (8), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "5d56347a7ac8b2b80f7c57cb226df4cdcd69c9a9499a9175385a4f7ebb4f6bc2",
    "id": "bbeh:linguini:037",
    "request": "Here are some verb forms of the Beslenei dialect of Kabardian (subdialect of Ulyap village, Republic of Adygea) in Roman transcription with stress marked and their English translations:\n\ndefə́n | to be able to sew\ngʷəš’əʔén | to speak\nmáde | (he/she) is sewing\nmášxe | (he/she) is eating\nmec̣ántꭓʷe | (he/she) is sliding\nmegʷəš’əʔéf | (he/she) is able to speak\nmes | (he/she) is burning\nmebəbə́pe | (he/she) really is flying\nmešxápe | (he/she) really is eating\nmeʒeq̇áfe | (he/she) is pretending to bite\nsən | to burn\nṭəgʷərəgʷə́n | to tremble\n\nHere are several more Beslenei words:\n\nc̣ántꭓʷeq̇ əm | (he/she) isn’t sliding\nc̣ántꭓʷet | (he/she) was sliding\nc̣entꭓʷéft | (he/she) was able to slide\ndápet | (he/she) really was sewing\ndéfxeme | if (they) are able to sew\nc̣ántꭓʷexeme | if (they) are sliding\nmeṭəgʷərə́gʷxe | (they) are trembling\nsə́fq̇əm | (he/she) isn’t able to burn\nbə́bme | if (he/she) is flying\nbə́bxet | (they) were flying\nšxéme | if (he/she) is eating\nṭəgʷərə́gʷq̇əm | (he/she) isn’t trembling\n\nTranslate into Beslenei:\nif (they) are speaking\n\nBe sure to mark the stresses.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "4c1bb2bf600a305aeff3c09bbdf5db381cdfba8e4bed29a4a786cad178ff0145",
    "id": "bbeh:linguini:050",
    "request": "Here are some sentences in Kimbundu and their English translations:\n\n1. ŋgámónà dìhónʒò mùdìlóŋgà | I saw the banana on the plate.\n2. àlóʒí ásáŋgá djálà mùdìkúŋgù | The sorcerers met the man in the cave.\n3. ŋgádjà dìhónʒó djámì | I ate my banana.\n4. mùdjúlù mwálà ʒìtéténbwà | There are stars in the sky.\n5. dìkámbá djámí djáʃíkà nì djákínà | My friend sang and danced.\n6. ŋgámónà dìkúŋgú djámí | Did I see my cave?\n7. ŋgámóná málà mùkìtándà | I saw the men in the square.\n8. ŋgásáŋgá múlóʒí mwámì mùlwándà | I met my sorcerer in Luanda.\n9. mùkìtándà mwálá djálá djámì | My man (husband) is in the square.\n10. mùdìkúŋgù ŋgámónà màkòlómbóló | Did I see the roosters in the cave?\n11. àtú ádjà dìhónʒò mùlwándá | Did the people eat the banana in Luanda?\n\nTranslate into Kimbundu (one of the sentences may have more than one translation):\nDid I sing?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "364741bb0e17953a844e8e912babc24aaca015f43dda4b1a14dc56a672da46c1",
    "id": "bbeh:linguini:060",
    "request": "Agbirigba is a cant, or secret language, used by around 30 speakers of the Ogbakiri dialect of the Ikwerre language. Here are some words in the Ogbakiri dialect, along with their Agbirigba forms and translations:\n\nOgbakiri | Agbirigba | \nńdá | ńtʊ́dá | father\nbі́sі́ | túbі́tі́sі́ | poison\nɔyɔ̀ | ɔ̀tɪ̀yɔ̀ | amicable gesture\nḿbɔ́rɔ̂ | ńtʊ́bɔ́tʊ́rɔ̀ | dream\nɔ́ʧɪ́ | ɔ́tɪʧɪ́ ́ | leg\nòtṹ | òtṹtṹ | to look for\nmі̃́nі̃́ | tі̃́mі̃́tі̃́nі̃́ | water\nwẽ̀rũ̀ | tũ̀wẽ̀tũ̀rũ̀ | to have\nɛ̀bɔɔ́ | ɛ̀tʊ́bɔ́ | two\nàwâ | àtʊ́wà | to break\nrі́mẽ́ | tі́rі́tṹmẽ́ | inside\nmɔ̃́nɔ̃̂ | tʊ̃́mɔ̃́tʊ̃́nɔ̃̀ | oil\nі́bèrè | і́tùbètі̀rè | belch\náyã̂ | átɪ̃́yã̀ | eye\nɔ́nʊ̃́ | ɔ́tʊ̃́nʊ̃́ | mouth\nmɔ̃́yɔ̃̂ | tʊ̃́mɔ̃́tɪ̃́yɔ̃̀ | urine\nŋ̀gàdã́ | ǹtʊ̀gàtʊ̃́dã́ | chair\nɔ́mɪ̃̀rɪ̃̀mã̀ | ɔ́tʊ̃̀mɪ̃̀tɪ̃̀rɪ̃̀tʊ̃̀mã̀ | meat, flesh\nàgɪ̀rɪ̀gɔ̀ | àtɪ̀gɪ̀tɪ̀rɪ̀tʊ̀gɔ̀ | defiance\nwẽ́nẽ́ | tṹwẽ́tі̃́nẽ́ | siblinghood\n\nGive the Agbirigba forms of the following Ogbakiri words:\nhʷɔ̀gâ | go out!\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "e74cbce8dc71e84308d9c98188bbafe1213cc787fb18a2635297245f11966428",
    "id": "bbeh:linguini:073",
    "request": "Here are some sentences in Basque as well as their English translations in arbitrary order. One of the English sentences corresponds to two sentences in Basque:\n\n1. ahaztu ditut\n2. ahaztu zaizkit\n3. ahaztu zaizu\n4. hurbildu natzaizue\n5. hurbildu zait\n6. lagundu ditugu\n7. lagundu dituzu\n8. lagundu dute\n9. lagundu nauzue\n10. mintzatu natzaizu\n11. mintzatu gatzaizkizue\n12. mintzatu zaizkigu\n13. ukitu ditugu\n14. ukitu naut\n\nA. you(sg) forgot him\nB. they talked to us\nC. I approached you(pl)\nD. I talked to you(sg)\nE. we helped them\nF. you(pl) helped me\nG. he approached me\nH. we touched them\nI. they touched me\nJ. you(sg) helped them\nK. they helped him\nL. we talked to you(pl)\nM. I forgot them\n\nTranslate into English:\nhurbildu gatzaizkizu\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "4c1bb2bf600a305aeff3c09bbdf5db381cdfba8e4bed29a4a786cad178ff0145",
    "id": "bbeh:linguini:078",
    "request": "Here are some sentences in Kimbundu and their English translations:\n\n1. ŋgámónà dìhónʒò mùdìlóŋgà | I saw the banana on the plate.\n2. àlóʒí ásáŋgá djálà mùdìkúŋgù | The sorcerers met the man in the cave.\n3. ŋgádjà dìhónʒó djámì | I ate my banana.\n4. mùdjúlù mwálà ʒìtéténbwà | There are stars in the sky.\n5. dìkámbá djámí djáʃíkà nì djákínà | My friend sang and danced.\n6. ŋgámónà dìkúŋgú djámí | Did I see my cave?\n7. ŋgámóná málà mùkìtándà | I saw the men in the square.\n8. ŋgásáŋgá múlóʒí mwámì mùlwándà | I met my sorcerer in Luanda.\n9. mùkìtándà mwálá djálá djámì | My man (husband) is in the square.\n10. mùdìkúŋgù ŋgámónà màkòlómbóló | Did I see the roosters in the cave?\n11. àtú ádjà dìhónʒò mùlwándá | Did the people eat the banana in Luanda?\n\nTranslate into English (one of the sentences is very similar in meaning to one of the sentences above):\nŋgákínà\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:082",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (10), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "a4fd556fc3142100a5bede49f4a9b41830fabdf18312832196f10bcd03b6dc8a",
    "id": "bbeh:linguini:087",
    "request": "Here are some sentences in Coastal Marind and their English translations:\n\n1. ob-dahetok | You_{sg} really returned.\n2. nake-dahetok | We returned.\n3. nambat-ihwin | Aw, I cried.\n4. nambe-otab | We really chased you_{pl} away.\n5. um-kulaɣawn | He laughed at you_{sg} in vain.\n6. e-keseh | You_{pl} spat on him.\n7. ubate-huɣanab | Aw, you_{sg} silenced us.\n8. nakum-hoɣab | I silenced you_{pl} in vain.\n9. nambame-ɣadaɣawn | Oh, we left you_{sg} behind!\n10. ebe-ɣadanawn | You_{pl} really left us behind.\n11. ibatum-ɣadewn | Aw, you_{pl} left him behind in vain.\n12. a-isanab | He cut me in half.\n13. obam-eseb | Oh, you_{sg} cut him in half!\n\nThe following verbs have a grammatical difference from the verbs above:\n\n14. bate-tamanab | Aw, we floated to the surface.\n15. ba-tamab | You_{pl} really floated to the surface.\n16. a-ɣuyaɣah | You_{sg} shuddered.\n17. bam-ɣuyanah | Oh, I shuddered!\n\nTranslate into English:\ne-ɣuyanah\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "5d56347a7ac8b2b80f7c57cb226df4cdcd69c9a9499a9175385a4f7ebb4f6bc2",
    "id": "bbeh:linguini:098",
    "request": "Here are some verb forms of the Beslenei dialect of Kabardian (subdialect of Ulyap village, Republic of Adygea) in Roman transcription with stress marked and their English translations:\n\ndefə́n | to be able to sew\ngʷəš’əʔén | to speak\nmáde | (he/she) is sewing\nmášxe | (he/she) is eating\nmec̣ántꭓʷe | (he/she) is sliding\nmegʷəš’əʔéf | (he/she) is able to speak\nmes | (he/she) is burning\nmebəbə́pe | (he/she) really is flying\nmešxápe | (he/she) really is eating\nmeʒeq̇áfe | (he/she) is pretending to bite\nsən | to burn\nṭəgʷərəgʷə́n | to tremble\n\nHere are several more Beslenei words:\n\nc̣ántꭓʷeq̇ əm | (he/she) isn’t sliding\nc̣ántꭓʷet | (he/she) was sliding\nc̣entꭓʷéft | (he/she) was able to slide\ndápet | (he/she) really was sewing\ndéfxeme | if (they) are able to sew\nc̣ántꭓʷexeme | if (they) are sliding\nmeṭəgʷərə́gʷxe | (they) are trembling\nsə́fq̇əm | (he/she) isn’t able to burn\nbə́bme | if (he/she) is flying\nbə́bxet | (they) were flying\nšxéme | if (he/she) is eating\nṭəgʷərə́gʷq̇əm | (he/she) isn’t trembling\n\nTranslate into Beslenei:\n(he/she) really was burning\n\nBe sure to mark the stresses.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "3ff42fb190a598eca55b2f57b601eaef4025770f2c74bfceeb416521dbc68e17",
    "id": "bbeh:linguini:100",
    "request": "Here are some sentences in Wambaya and their English translations:\n\n1. Ngarlu nya. | You (sg.) danced.\n2. Gulugba ngu. | I will sleep.\n3. Bardbi ga bungmanya. | The old woman ran (away).\n4. Ngunybulugi barrawunguji. | The doctor has a house.\n5. Ngajbi nginya. | I saw you (sg.).\n6. Dagumajba nguyu ngunybulugi. | She will strike the doctor.\n7. Alanga gu ngarlujba janjingunya. | The girl will dance with the dog.\n8. Ngajba gununyu. | He will see you (sg.).\n9. Ngirra nga gijilulu. | I stole the money.\n10. Yagujba nyu barrawuwaji. | You (sg.) will leave him without a house.\n11. Daguma ngiyinga bungmanyani. | The old woman struck me.\n12. Bardbi ga darranggunguji. | He ran (away) with the stick.\n13. Alayulu ngiya juwa. | She found the man.\n14. Juwani gina ngajbi gijilulungunya. | The man saw her with the money.\n15. Yagu gininga. | He left me.\n16. Bungmaji gina ngajbi balamurruwaji. | He saw the old man without a spear.\n17. Dirragba gu bungmaji. | The old man will jump.\n\nTranslate into Wambaya:\nHe will steal the dog.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:107",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (1), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "a4fd556fc3142100a5bede49f4a9b41830fabdf18312832196f10bcd03b6dc8a",
    "id": "bbeh:linguini:110",
    "request": "Here are some sentences in Coastal Marind and their English translations:\n\n1. ob-dahetok | You_{sg} really returned.\n2. nake-dahetok | We returned.\n3. nambat-ihwin | Aw, I cried.\n4. nambe-otab | We really chased you_{pl} away.\n5. um-kulaɣawn | He laughed at you_{sg} in vain.\n6. e-keseh | You_{pl} spat on him.\n7. ubate-huɣanab | Aw, you_{sg} silenced us.\n8. nakum-hoɣab | I silenced you_{pl} in vain.\n9. nambame-ɣadaɣawn | Oh, we left you_{sg} behind!\n10. ebe-ɣadanawn | You_{pl} really left us behind.\n11. ibatum-ɣadewn | Aw, you_{pl} left him behind in vain.\n12. a-isanab | He cut me in half.\n13. obam-eseb | Oh, you_{sg} cut him in half!\n\nThe following verbs have a grammatical difference from the verbs above:\n\n14. bate-tamanab | Aw, we floated to the surface.\n15. ba-tamab | You_{pl} really floated to the surface.\n16. a-ɣuyaɣah | You_{sg} shuddered.\n17. bam-ɣuyanah | Oh, I shuddered!\n\nTranslate into Coastal Marind:\nHe floated to the surface.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "5d56347a7ac8b2b80f7c57cb226df4cdcd69c9a9499a9175385a4f7ebb4f6bc2",
    "id": "bbeh:linguini:127",
    "request": "Here are some verb forms of the Beslenei dialect of Kabardian (subdialect of Ulyap village, Republic of Adygea) in Roman transcription with stress marked and their English translations:\n\ndefə́n | to be able to sew\ngʷəš’əʔén | to speak\nmáde | (he/she) is sewing\nmášxe | (he/she) is eating\nmec̣ántꭓʷe | (he/she) is sliding\nmegʷəš’əʔéf | (he/she) is able to speak\nmes | (he/she) is burning\nmebəbə́pe | (he/she) really is flying\nmešxápe | (he/she) really is eating\nmeʒeq̇áfe | (he/she) is pretending to bite\nsən | to burn\nṭəgʷərəgʷə́n | to tremble\n\nHere are several more Beslenei words:\n\nc̣ántꭓʷeq̇ əm | (he/she) isn’t sliding\nc̣ántꭓʷet | (he/she) was sliding\nc̣entꭓʷéft | (he/she) was able to slide\ndápet | (he/she) really was sewing\ndéfxeme | if (they) are able to sew\nc̣ántꭓʷexeme | if (they) are sliding\nmeṭəgʷərə́gʷxe | (they) are trembling\nsə́fq̇əm | (he/she) isn’t able to burn\nbə́bme | if (he/she) is flying\nbə́bxet | (they) were flying\nšxéme | if (he/she) is eating\nṭəgʷərə́gʷq̇əm | (he/she) isn’t trembling\n\nTranslate into Beslenei:\n(they) are biting.\n\nBe sure to mark the stresses.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:128",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (5), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "a4fd556fc3142100a5bede49f4a9b41830fabdf18312832196f10bcd03b6dc8a",
    "id": "bbeh:linguini:134",
    "request": "Here are some sentences in Coastal Marind and their English translations:\n\n1. ob-dahetok | You_{sg} really returned.\n2. nake-dahetok | We returned.\n3. nambat-ihwin | Aw, I cried.\n4. nambe-otab | We really chased you_{pl} away.\n5. um-kulaɣawn | He laughed at you_{sg} in vain.\n6. e-keseh | You_{pl} spat on him.\n7. ubate-huɣanab | Aw, you_{sg} silenced us.\n8. nakum-hoɣab | I silenced you_{pl} in vain.\n9. nambame-ɣadaɣawn | Oh, we left you_{sg} behind!\n10. ebe-ɣadanawn | You_{pl} really left us behind.\n11. ibatum-ɣadewn | Aw, you_{pl} left him behind in vain.\n12. a-isanab | He cut me in half.\n13. obam-eseb | Oh, you_{sg} cut him in half!\n\nThe following verbs have a grammatical difference from the verbs above:\n\n14. bate-tamanab | Aw, we floated to the surface.\n15. ba-tamab | You_{pl} really floated to the surface.\n16. a-ɣuyaɣah | You_{sg} shuddered.\n17. bam-ɣuyanah | Oh, I shuddered!\n\nTranslate into Coastal Marind:\nYou_{pl} really spat on us in vain.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "364741bb0e17953a844e8e912babc24aaca015f43dda4b1a14dc56a672da46c1",
    "id": "bbeh:linguini:135",
    "request": "Agbirigba is a cant, or secret language, used by around 30 speakers of the Ogbakiri dialect of the Ikwerre language. Here are some words in the Ogbakiri dialect, along with their Agbirigba forms and translations:\n\nOgbakiri | Agbirigba | \nńdá | ńtʊ́dá | father\nbі́sі́ | túbі́tі́sі́ | poison\nɔyɔ̀ | ɔ̀tɪ̀yɔ̀ | amicable gesture\nḿbɔ́rɔ̂ | ńtʊ́bɔ́tʊ́rɔ̀ | dream\nɔ́ʧɪ́ | ɔ́tɪʧɪ́ ́ | leg\nòtṹ | òtṹtṹ | to look for\nmі̃́nі̃́ | tі̃́mі̃́tі̃́nі̃́ | water\nwẽ̀rũ̀ | tũ̀wẽ̀tũ̀rũ̀ | to have\nɛ̀bɔɔ́ | ɛ̀tʊ́bɔ́ | two\nàwâ | àtʊ́wà | to break\nrі́mẽ́ | tі́rі́tṹmẽ́ | inside\nmɔ̃́nɔ̃̂ | tʊ̃́mɔ̃́tʊ̃́nɔ̃̀ | oil\nі́bèrè | і́tùbètі̀rè | belch\náyã̂ | átɪ̃́yã̀ | eye\nɔ́nʊ̃́ | ɔ́tʊ̃́nʊ̃́ | mouth\nmɔ̃́yɔ̃̂ | tʊ̃́mɔ̃́tɪ̃́yɔ̃̀ | urine\nŋ̀gàdã́ | ǹtʊ̀gàtʊ̃́dã́ | chair\nɔ́mɪ̃̀rɪ̃̀mã̀ | ɔ́tʊ̃̀mɪ̃̀tɪ̃̀rɪ̃̀tʊ̃̀mã̀ | meat, flesh\nàgɪ̀rɪ̀gɔ̀ | àtɪ̀gɪ̀tɪ̀rɪ̀tʊ̀gɔ̀ | defiance\nwẽ́nẽ́ | tṹwẽ́tі̃́nẽ́ | siblinghood\n\nGive the Agbirigba forms of the following Ogbakiri words:\nɲ́yẽ́ rɪ̀yã̀ | female\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "a4fd556fc3142100a5bede49f4a9b41830fabdf18312832196f10bcd03b6dc8a",
    "id": "bbeh:linguini:154",
    "request": "Here are some sentences in Coastal Marind and their English translations:\n\n1. ob-dahetok | You_{sg} really returned.\n2. nake-dahetok | We returned.\n3. nambat-ihwin | Aw, I cried.\n4. nambe-otab | We really chased you_{pl} away.\n5. um-kulaɣawn | He laughed at you_{sg} in vain.\n6. e-keseh | You_{pl} spat on him.\n7. ubate-huɣanab | Aw, you_{sg} silenced us.\n8. nakum-hoɣab | I silenced you_{pl} in vain.\n9. nambame-ɣadaɣawn | Oh, we left you_{sg} behind!\n10. ebe-ɣadanawn | You_{pl} really left us behind.\n11. ibatum-ɣadewn | Aw, you_{pl} left him behind in vain.\n12. a-isanab | He cut me in half.\n13. obam-eseb | Oh, you_{sg} cut him in half!\n\nThe following verbs have a grammatical difference from the verbs above:\n\n14. bate-tamanab | Aw, we floated to the surface.\n15. ba-tamab | You_{pl} really floated to the surface.\n16. a-ɣuyaɣah | You_{sg} shuddered.\n17. bam-ɣuyanah | Oh, I shuddered!\n\nTranslate into Coastal Marind:\nOh, I silenced him!\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "3ff42fb190a598eca55b2f57b601eaef4025770f2c74bfceeb416521dbc68e17",
    "id": "bbeh:linguini:155",
    "request": "Here are some sentences in Wambaya and their English translations:\n\n1. Ngarlu nya. | You (sg.) danced.\n2. Gulugba ngu. | I will sleep.\n3. Bardbi ga bungmanya. | The old woman ran (away).\n4. Ngunybulugi barrawunguji. | The doctor has a house.\n5. Ngajbi nginya. | I saw you (sg.).\n6. Dagumajba nguyu ngunybulugi. | She will strike the doctor.\n7. Alanga gu ngarlujba janjingunya. | The girl will dance with the dog.\n8. Ngajba gununyu. | He will see you (sg.).\n9. Ngirra nga gijilulu. | I stole the money.\n10. Yagujba nyu barrawuwaji. | You (sg.) will leave him without a house.\n11. Daguma ngiyinga bungmanyani. | The old woman struck me.\n12. Bardbi ga darranggunguji. | He ran (away) with the stick.\n13. Alayulu ngiya juwa. | She found the man.\n14. Juwani gina ngajbi gijilulungunya. | The man saw her with the money.\n15. Yagu gininga. | He left me.\n16. Bungmaji gina ngajbi balamurruwaji. | He saw the old man without a spear.\n17. Dirragba gu bungmaji. | The old man will jump.\n\nTranslate into Wambaya:\nThe doctor slept.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:190",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (7), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "b5319748d077fd6835368a7924110c7a4eb1a305883f602d9c0bba68846ce404",
    "id": "bbeh:linguini:191",
    "request": "Given are verbs of the Budukh language in three forms:\n\nform 1: prohibitive mood, class I (masculine) | form 2: future tense, class I (masculine) | form 3: future tense, class II (feminine) |  \namarxar | arxara | arxara | sleep\nčömorh̜uc̣u | čörh̜uc̣ura | - | exchange\nčimeƣi | - | čirƣira | carry, lead\nh̜ümoč̣onxu | h̜üč̣onxuna | h̜ürč̣onxuna | overtake\n- | osura | orsura | put\nwomolṭu | wolṭula | - | tie\n(1) | h̜arkira | - | set on (animals)\n(2) | jölküla | jölküla | make to roll\n(3) | qal̇qala | - | lie, recline\n(4) | quroƣura | quroƣura | bring to a halt\n(5) | sonḳona | sonḳona | be startled\namol̇qol | (6) | al̇qola | sit down\nemensi | (7) | - | extinguish\nh̜ömörč̣ü | (8) | - | push\nčumarȧqar | - | (9) | overtake\nh̜amolƣu | - | (10) | swallow\nïmankan | - | (11) | remain\njemeč̣i | - | (12) | cross, go across\n\nFill in the masked element indicated with (4), assuming the (1), (2), ... elements are masked out elements.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "364741bb0e17953a844e8e912babc24aaca015f43dda4b1a14dc56a672da46c1",
    "id": "bbeh:linguini:192",
    "request": "Agbirigba is a cant, or secret language, used by around 30 speakers of the Ogbakiri dialect of the Ikwerre language. Here are some words in the Ogbakiri dialect, along with their Agbirigba forms and translations:\n\nOgbakiri | Agbirigba | \nńdá | ńtʊ́dá | father\nbі́sі́ | túbі́tі́sі́ | poison\nɔyɔ̀ | ɔ̀tɪ̀yɔ̀ | amicable gesture\nḿbɔ́rɔ̂ | ńtʊ́bɔ́tʊ́rɔ̀ | dream\nɔ́ʧɪ́ | ɔ́tɪʧɪ́ ́ | leg\nòtṹ | òtṹtṹ | to look for\nmі̃́nі̃́ | tі̃́mі̃́tі̃́nі̃́ | water\nwẽ̀rũ̀ | tũ̀wẽ̀tũ̀rũ̀ | to have\nɛ̀bɔɔ́ | ɛ̀tʊ́bɔ́ | two\nàwâ | àtʊ́wà | to break\nrі́mẽ́ | tі́rі́tṹmẽ́ | inside\nmɔ̃́nɔ̃̂ | tʊ̃́mɔ̃́tʊ̃́nɔ̃̀ | oil\nі́bèrè | і́tùbètі̀rè | belch\náyã̂ | átɪ̃́yã̀ | eye\nɔ́nʊ̃́ | ɔ́tʊ̃́nʊ̃́ | mouth\nmɔ̃́yɔ̃̂ | tʊ̃́mɔ̃́tɪ̃́yɔ̃̀ | urine\nŋ̀gàdã́ | ǹtʊ̀gàtʊ̃́dã́ | chair\nɔ́mɪ̃̀rɪ̃̀mã̀ | ɔ́tʊ̃̀mɪ̃̀tɪ̃̀rɪ̃̀tʊ̃̀mã̀ | meat, flesh\nàgɪ̀rɪ̀gɔ̀ | àtɪ̀gɪ̀tɪ̀rɪ̀tʊ̀gɔ̀ | defiance\nwẽ́nẽ́ | tṹwẽ́tі̃́nẽ́ | siblinghood\n\nGive the Agbirigba forms of the following Ogbakiri words:\nrɛ̀wʊ̃́ | deity\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "364741bb0e17953a844e8e912babc24aaca015f43dda4b1a14dc56a672da46c1",
    "id": "bbeh:linguini:194",
    "request": "Agbirigba is a cant, or secret language, used by around 30 speakers of the Ogbakiri dialect of the Ikwerre language. Here are some words in the Ogbakiri dialect, along with their Agbirigba forms and translations:\n\nOgbakiri | Agbirigba | \nńdá | ńtʊ́dá | father\nbі́sі́ | túbі́tі́sі́ | poison\nɔyɔ̀ | ɔ̀tɪ̀yɔ̀ | amicable gesture\nḿbɔ́rɔ̂ | ńtʊ́bɔ́tʊ́rɔ̀ | dream\nɔ́ʧɪ́ | ɔ́tɪʧɪ́ ́ | leg\nòtṹ | òtṹtṹ | to look for\nmі̃́nі̃́ | tі̃́mі̃́tі̃́nі̃́ | water\nwẽ̀rũ̀ | tũ̀wẽ̀tũ̀rũ̀ | to have\nɛ̀bɔɔ́ | ɛ̀tʊ́bɔ́ | two\nàwâ | àtʊ́wà | to break\nrі́mẽ́ | tі́rі́tṹmẽ́ | inside\nmɔ̃́nɔ̃̂ | tʊ̃́mɔ̃́tʊ̃́nɔ̃̀ | oil\nі́bèrè | і́tùbètі̀rè | belch\náyã̂ | átɪ̃́yã̀ | eye\nɔ́nʊ̃́ | ɔ́tʊ̃́nʊ̃́ | mouth\nmɔ̃́yɔ̃̂ | tʊ̃́mɔ̃́tɪ̃́yɔ̃̀ | urine\nŋ̀gàdã́ | ǹtʊ̀gàtʊ̃́dã́ | chair\nɔ́mɪ̃̀rɪ̃̀mã̀ | ɔ́tʊ̃̀mɪ̃̀tɪ̃̀rɪ̃̀tʊ̃̀mã̀ | meat, flesh\nàgɪ̀rɪ̀gɔ̀ | àtɪ̀gɪ̀tɪ̀rɪ̀tʊ̀gɔ̀ | defiance\nwẽ́nẽ́ | tṹwẽ́tі̃́nẽ́ | siblinghood\n\nGive the Agbirigba forms of the following Ogbakiri words:\nrʊ́tʊ̂ | chewing-stick\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "linguini"
  },
  {
    "dataset": "bbeh",
    "family": "2807f9abd55f37f02a3ad122cae677ea0b91e7d9e7977c9145e23a3aa2746021",
    "id": "bbeh:movie_recommendation:000",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Mask, The Lion King, Pretty Woman, Batman, The Front Page\n(B) Maelstrom, The Lion King, Lamerica, Pretty Woman, The Front Page\n(C) The Fugitive, The Mask, Maelstrom, Pretty Woman, Batman\n(D) The Lion King, The Mask, Lamerica, Maelstrom, Batman\n(E) Batman, The Lion King, Pretty Woman, The Fugitive, The Mask\n(F) Batman, The Mask, Maelstrom, The Fugitive, Lamerica\n(G) The Front Page, The Fugitive, Maelstrom, Lamerica, Batman\n(H) The Fugitive, Pretty Woman, Lamerica, Batman, The Lion King\n(I) The Fugitive, Lamerica, The Mask, The Front Page, Batman\n(J) The Fugitive, Pretty Woman, The Lion King, The Mask, The Front Page\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "c18d8d6af8829d388757ea27bfcfb0cbe8a66a0ff531ae0dfd690c369eec11b4",
    "id": "bbeh:movie_recommendation:001",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Street Fighter II The Animated Movie, The Sixth Sense, The Matrix, The Shawshank Redemption, Terminator 2 Judgment Day\n(B) The Boy Who Could Fly, The Sheltering Sky, Forrest Gump, Terminator 2 Judgment Day, The Matrix\n(C) Forrest Gump, The Shawshank Redemption, Terminator 2 Judgment Day, The Matrix, The Sixth Sense\n(D) The Boy Who Could Fly, The Sheltering Sky, Street Fighter II The Animated Movie, The Sixth Sense, Terminator 2 Judgment Day\n(E) The Matrix, The Boy Who Could Fly, Forrest Gump, The Shawshank Redemption, The Sixth Sense\n(F) The Boy Who Could Fly, The Matrix, Terminator 2 Judgment Day, The Sixth Sense, Forrest Gump\n(G) The Shawshank Redemption, Street Fighter II The Animated Movie, The Sheltering Sky, The Matrix, The Boy Who Could Fly\n(H) Street Fighter II The Animated Movie, The Matrix, The Sixth Sense, The Shawshank Redemption, The Sheltering Sky\n(I) The Sheltering Sky, Street Fighter II The Animated Movie, Forrest Gump, Terminator 2 Judgment Day, The Boy Who Could Fly\n(J) Street Fighter II The Animated Movie, The Sixth Sense, The Boy Who Could Fly, The Shawshank Redemption, Forrest Gump\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "e0ec709b16ce6dd171bb84b6da45defaab8c4cd6b8a51b10230d355fbe0560ac",
    "id": "bbeh:movie_recommendation:003",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Batman, Schindler's List, Braveheart, The Mask, The Fugitive\n(B) Batman, Club Dread, George Washington, Braveheart, Once Upon a Time in America\n(C) Schindler's List, Batman, The Fugitive, George Washington, Braveheart\n(D) The Fugitive, The Mask, Once Upon a Time in America, Schindler's List, Braveheart\n(E) Club Dread, Once Upon a Time in America, George Washington, Braveheart, The Mask\n(F) Batman, Braveheart, The Mask, Once Upon a Time in America, Schindler's List\n(G) George Washington, Once Upon a Time in America, Schindler's List, Club Dread, Braveheart\n(H) The Fugitive, The Mask, Once Upon a Time in America, Batman, Braveheart\n(I) George Washington, Schindler's List, Club Dread, Batman, The Fugitive\n(J) Once Upon a Time in America, Club Dread, George Washington, Batman, The Mask\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "1a35382799904fd483841eab665696964e810fcb3c1fe99cfc26a7ef93b40f4d",
    "id": "bbeh:movie_recommendation:011",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Dogfight, The Silence of the Lambs, Forrest Gump, Mission Impossible, Twin Peaks Fire Walk with Me\n(B) Twin Peaks Fire Walk with Me, The Silence of the Lambs, Forrest Gump, Dogfight, Jurassic Park\n(C) Dogfight, Joe Somebody, Mission Impossible, Twin Peaks Fire Walk with Me, The Silence of the Lambs\n(D) Independence Day, Forrest Gump, Joe Somebody, Twin Peaks Fire Walk with Me, Dogfight\n(E) Mission Impossible, Independence Day, Jurassic Park, Forrest Gump, The Silence of the Lambs\n(F) Jurassic Park, Mission Impossible, Independence Day, Dogfight, The Silence of the Lambs\n(G) Independence Day, Jurassic Park, Dogfight, Mission Impossible, Forrest Gump\n(H) Jurassic Park, Twin Peaks Fire Walk with Me, Forrest Gump, Mission Impossible, Independence Day\n(I) Jurassic Park, The Silence of the Lambs, Forrest Gump, Joe Somebody, Dogfight\n(J) Forrest Gump, Independence Day, Joe Somebody, Jurassic Park, Mission Impossible\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "66e5965383d85d931b4ad5c105a4cfd70a5b788fd7826733d00d97edb71761dc",
    "id": "bbeh:movie_recommendation:012",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Fargo, The Usual Suspects, The Fugitive, Pulp Fiction, The Shawshank Redemption\n(B) The Fugitive, The Shawshank Redemption, A Plasticine Crow, Pulp Fiction, Fargo\n(C) Fargo, Damage, The Shawshank Redemption, Pulp Fiction, The Usual Suspects\n(D) Pulp Fiction, Damage, A Plasticine Crow, Pie in the Sky, The Shawshank Redemption\n(E) Damage, Fargo, The Usual Suspects, The Shawshank Redemption, Pie in the Sky\n(F) The Shawshank Redemption, Pie in the Sky, The Fugitive, Damage, A Plasticine Crow\n(G) Pie in the Sky, A Plasticine Crow, The Fugitive, The Usual Suspects, Damage\n(H) The Fugitive, Pulp Fiction, Pie in the Sky, Damage, A Plasticine Crow\n(I) The Shawshank Redemption, A Plasticine Crow, Damage, Pie in the Sky, Fargo\n(J) Damage, The Usual Suspects, Fargo, Pulp Fiction, Pie in the Sky\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "c2243eb1267b05ada4f783049f054dc00b86a9873f973c426714a454376367d4",
    "id": "bbeh:movie_recommendation:013",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Usual Suspects, Welcome to Sarajevo, Pulp Fiction, Sweeney Todd, The Amazing Panda Adventure\n(B) Pulp Fiction, The Fugitive, Terminator 2 Judgment Day, Sweeney Todd, The Usual Suspects\n(C) Pulp Fiction, The Usual Suspects, The Fugitive, The Amazing Panda Adventure, Terminator 2 Judgment Day\n(D) The Usual Suspects, Pulp Fiction, Terminator 2 Judgment Day, Sweeney Todd, Seven\n(E) The Fugitive, The Amazing Panda Adventure, Pulp Fiction, Welcome to Sarajevo, Terminator 2 Judgment Day\n(F) The Amazing Panda Adventure, Sweeney Todd, The Usual Suspects, The Fugitive, Seven\n(G) Welcome to Sarajevo, The Amazing Panda Adventure, Pulp Fiction, Sweeney Todd, Terminator 2 Judgment Day\n(H) The Usual Suspects, Sweeney Todd, Seven, The Amazing Panda Adventure, Terminator 2 Judgment Day\n(I) Pulp Fiction, The Fugitive, Seven, Terminator 2 Judgment Day, The Usual Suspects\n(J) The Amazing Panda Adventure, Seven, Welcome to Sarajevo, Sweeney Todd, The Fugitive\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "6e1514f4a0f3a2d82fc94487a7dc9db202fc5ba65abd5d5f90204a76e93f2585",
    "id": "bbeh:movie_recommendation:030",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Schindler's List, Pulp Fiction, Braveheart, Rise of the Planet of the Apes, Apollo 13\n(B) The Last Kiss, Europa, Apollo 13, Pulp Fiction, Batman\n(C) Batman, Pulp Fiction, Apollo 13, Schindler's List, Rise of the Planet of the Apes\n(D) Braveheart, Rise of the Planet of the Apes, Apollo 13, The Last Kiss, Europa\n(E) The Last Kiss, Rise of the Planet of the Apes, Europa, Schindler's List, Braveheart\n(F) Pulp Fiction, Apollo 13, The Last Kiss, Batman, Braveheart\n(G) Schindler's List, Braveheart, Pulp Fiction, Europa, Apollo 13\n(H) Braveheart, Batman, Rise of the Planet of the Apes, The Last Kiss, Europa\n(I) Braveheart, Batman, Apollo 13, Pulp Fiction, Schindler's List\n(J) The Last Kiss, Braveheart, Schindler's List, Apollo 13, Pulp Fiction\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "f00550b3a7274dcaf2d1295c550244caa248c5bbca1aff428786ef27102c8989",
    "id": "bbeh:movie_recommendation:034",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Elizabethtown, Forrest Gump, The Fugitive, The Bride of Frankenstein, All Over the Guy\n(B) Forrest Gump, Dances with Wolves, Pulp Fiction, All Over the Guy, The Bride of Frankenstein\n(C) Pulp Fiction, All Over the Guy, Elizabethtown, The Bride of Frankenstein, Dances with Wolves\n(D) Pulp Fiction, The Shawshank Redemption, Elizabethtown, Forrest Gump, The Fugitive\n(E) Dances with Wolves, Forrest Gump, The Fugitive, Pulp Fiction, The Shawshank Redemption\n(F) All Over the Guy, The Fugitive, Dances with Wolves, The Shawshank Redemption, Elizabethtown\n(G) The Bride of Frankenstein, The Fugitive, Forrest Gump, All Over the Guy, Dances with Wolves\n(H) Forrest Gump, All Over the Guy, Elizabethtown, The Shawshank Redemption, Pulp Fiction\n(I) Forrest Gump, The Bride of Frankenstein, Dances with Wolves, Pulp Fiction, The Fugitive\n(J) The Shawshank Redemption, Forrest Gump, Elizabethtown, Dances with Wolves, The Fugitive\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "99c39ed39bb3f77c8d01b969c02d509d84271aa088560cdbb0796bc2c168e0d1",
    "id": "bbeh:movie_recommendation:048",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) American Beauty, Austin Powers International Man of Mystery, Star Wars Episode IV - A New Hope, Mission Impossible, Star Wars Episode V - The Empire Strikes Back\n(B) Dragon Ball The Curse Of The Blood Rubies, Moonlight Mile, Star Wars Episode V - The Empire Strikes Back, American Beauty, Hollywood Homicide\n(C) Star Wars Episode IV - A New Hope, Dragon Ball The Curse Of The Blood Rubies, Mission Impossible, Moonlight Mile, American Beauty\n(D) Austin Powers International Man of Mystery, Star Wars Episode IV - A New Hope, American Beauty, Hollywood Homicide, Star Wars Episode V - The Empire Strikes Back\n(E) Moonlight Mile, Dragon Ball The Curse Of The Blood Rubies, Mission Impossible, Austin Powers International Man of Mystery, Hollywood Homicide\n(F) Moonlight Mile, Dragon Ball The Curse Of The Blood Rubies, Mission Impossible, Hollywood Homicide, American Beauty\n(G) Moonlight Mile, Star Wars Episode V - The Empire Strikes Back, Dragon Ball The Curse Of The Blood Rubies, American Beauty, Mission Impossible\n(H) Hollywood Homicide, American Beauty, Austin Powers International Man of Mystery, Moonlight Mile, Star Wars Episode IV - A New Hope\n(I) Star Wars Episode IV - A New Hope, Austin Powers International Man of Mystery, American Beauty, Star Wars Episode V - The Empire Strikes Back, Dragon Ball The Curse Of The Blood Rubies\n(J) Mission Impossible, Austin Powers International Man of Mystery, Star Wars Episode V - The Empire Strikes Back, Hollywood Homicide, Star Wars Episode IV - A New Hope\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "48936c6d58de192c61595f6ef7496f6e113e5955e93ec20c33a136946702dcca",
    "id": "bbeh:movie_recommendation:057",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Boy, The Fugitive, The Shawshank Redemption, Braveheart, Crimson Tide\n(B) Crimson Tide, Braveheart, The Usual Suspects, The Shawshank Redemption, The Fugitive\n(C) The Usual Suspects, The Fugitive, And Then There Were None, Braveheart, Swiss Family Robinson\n(D) Braveheart, Crimson Tide, The Fugitive, The Usual Suspects, And Then There Were None\n(E) And Then There Were None, Boy, The Fugitive, The Shawshank Redemption, Swiss Family Robinson\n(F) Crimson Tide, Swiss Family Robinson, Boy, The Usual Suspects, And Then There Were None\n(G) Boy, And Then There Were None, Braveheart, The Shawshank Redemption, Swiss Family Robinson\n(H) Crimson Tide, Boy, Braveheart, The Fugitive, And Then There Were None\n(I) Braveheart, The Fugitive, Crimson Tide, Swiss Family Robinson, The Shawshank Redemption\n(J) The Fugitive, And Then There Were None, Crimson Tide, Boy, The Usual Suspects\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "a53c89c5251d8f6355f751fd6980a0c2827a3ea8046abfb31cdd875e0912b67d",
    "id": "bbeh:movie_recommendation:062",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pulp Fiction, Forrest Gump, Fast Times at Ridgemont High, Braveheart, Insidious Chapter 3\n(B) Braveheart, Terminator 2 Judgment Day, Pulp Fiction, The Fugitive, Insidious Chapter 3\n(C) Fast Times at Ridgemont High, The Fugitive, Ruby & Quentin, Insidious Chapter 3, Terminator 2 Judgment Day\n(D) Insidious Chapter 3, Terminator 2 Judgment Day, Ruby & Quentin, The Fugitive, Braveheart\n(E) Forrest Gump, Pulp Fiction, The Fugitive, Braveheart, Fast Times at Ridgemont High\n(F) Braveheart, Forrest Gump, Fast Times at Ridgemont High, Terminator 2 Judgment Day, The Fugitive\n(G) Insidious Chapter 3, The Fugitive, Terminator 2 Judgment Day, Fast Times at Ridgemont High, Forrest Gump\n(H) Pulp Fiction, Terminator 2 Judgment Day, Forrest Gump, Braveheart, The Fugitive\n(I) Insidious Chapter 3, Terminator 2 Judgment Day, Ruby & Quentin, Braveheart, Forrest Gump\n(J) The Fugitive, Ruby & Quentin, Terminator 2 Judgment Day, Pulp Fiction, Forrest Gump\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "822240d4c7a04081c10af5cfbb6a23a9dedff88d6006908739c5125db280ca56",
    "id": "bbeh:movie_recommendation:063",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Braveheart, Forrest Gump, Pulp Fiction, The Fugitive, Little Women\n(B) The Fugitive, Dead Alive, Forrest Gump, Pulp Fiction, Little Women\n(C) Braveheart, Bring It On All or Nothing, The Fugitive, Pulp Fiction, Dances with Wolves\n(D) Forrest Gump, Bring It On All or Nothing, Pulp Fiction, Dead Alive, The Fugitive\n(E) The Fugitive, Bring It On All or Nothing, Braveheart, Forrest Gump, Dances with Wolves\n(F) Braveheart, Pulp Fiction, Forrest Gump, Dances with Wolves, The Fugitive\n(G) Little Women, The Fugitive, Pulp Fiction, Dances with Wolves, Braveheart\n(H) Pulp Fiction, Dances with Wolves, Little Women, Forrest Gump, The Fugitive\n(I) Little Women, Bring It On All or Nothing, Dead Alive, Forrest Gump, The Fugitive\n(J) The Fugitive, Dances with Wolves, Dead Alive, Braveheart, Little Women\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "d1d58a04e244f0d724421d8ae0a64e98b25bba7c25e45950ecdbd544395be480",
    "id": "bbeh:movie_recommendation:064",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Star Wars Episode V - The Empire Strikes Back, Neon Bull, American Beauty, The Silence of the Lambs, Cargo\n(B) Star Wars Episode V - The Empire Strikes Back, Forrest Gump, The Silence of the Lambs, Neon Bull, Star Wars Episode IV - A New Hope\n(C) Forrest Gump, Jeffrey, Star Wars Episode IV - A New Hope, American Beauty, Star Wars Episode V - The Empire Strikes Back\n(D) Neon Bull, Star Wars Episode IV - A New Hope, American Beauty, Forrest Gump, Cargo\n(E) Forrest Gump, The Silence of the Lambs, Star Wars Episode IV - A New Hope, Star Wars Episode V - The Empire Strikes Back, American Beauty\n(F) Jeffrey, Cargo, Star Wars Episode V - The Empire Strikes Back, Forrest Gump, The Silence of the Lambs\n(G) Cargo, American Beauty, Neon Bull, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope\n(H) Jeffrey, Star Wars Episode V - The Empire Strikes Back, Forrest Gump, The Silence of the Lambs, Star Wars Episode IV - A New Hope\n(I) Cargo, Jeffrey, Forrest Gump, The Silence of the Lambs, Star Wars Episode IV - A New Hope\n(J) Forrest Gump, Jeffrey, Star Wars Episode IV - A New Hope, Cargo, Neon Bull\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "d58cd07a09338baace19be7c2648ac3655c3d5efcdb23d86abd50dbc4038796e",
    "id": "bbeh:movie_recommendation:075",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Sword in the Stone, Arlington Road, Timecrimes, Captain Corelli's Mandolin, Willy Wonka & the Chocolate Factory\n(B) The Jungle Book, Arlington Road, Fantasia, Timecrimes, Captain Corelli's Mandolin\n(C) Timecrimes, Fantasia, Captain Corelli's Mandolin, Willy Wonka & the Chocolate Factory, Arlington Road\n(D) Fantasia, Timecrimes, The Wizard of Oz, Willy Wonka & the Chocolate Factory, Captain Corelli's Mandolin\n(E) The Sword in the Stone, Captain Corelli's Mandolin, Willy Wonka & the Chocolate Factory, The Wizard of Oz, The Jungle Book\n(F) Fantasia, The Jungle Book, The Sword in the Stone, The Wizard of Oz, Willy Wonka & the Chocolate Factory\n(G) Arlington Road, The Sword in the Stone, Willy Wonka & the Chocolate Factory, Fantasia, Timecrimes\n(H) Timecrimes, The Wizard of Oz, The Sword in the Stone, Fantasia, Arlington Road\n(I) Willy Wonka & the Chocolate Factory, The Wizard of Oz, Timecrimes, The Sword in the Stone, Fantasia\n(J) Arlington Road, Captain Corelli's Mandolin, Willy Wonka & the Chocolate Factory, The Wizard of Oz, Timecrimes\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "a7eb1872497f637c9d81acd3553c82ce10b6792e5f0f9aab7fc26651874e9d20",
    "id": "bbeh:movie_recommendation:081",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Thunderbirds, The Silence of the Lambs, Forrest Gump, Independence Day, Batman\n(B) Thunderbirds, The Silence of the Lambs, Forrest Gump, American Flyers, Shadows and Fog\n(C) Jurassic Park, Independence Day, Thunderbirds, Forrest Gump, The Silence of the Lambs\n(D) Jurassic Park, Forrest Gump, American Flyers, Shadows and Fog, The Silence of the Lambs\n(E) The Silence of the Lambs, Jurassic Park, Thunderbirds, Shadows and Fog, American Flyers\n(F) Thunderbirds, Forrest Gump, Shadows and Fog, Jurassic Park, Independence Day\n(G) Jurassic Park, American Flyers, Independence Day, Shadows and Fog, The Silence of the Lambs\n(H) Forrest Gump, The Silence of the Lambs, Independence Day, Shadows and Fog, Thunderbirds\n(I) The Silence of the Lambs, Forrest Gump, Jurassic Park, Independence Day, Batman\n(J) The Silence of the Lambs, Shadows and Fog, American Flyers, Thunderbirds, Independence Day\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "65f15d1c011987695941ce07bb68fbaffd339c33584f437988ecb37e97864d5f",
    "id": "bbeh:movie_recommendation:082",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Indiana Jones and the Last Crusade, Star Wars Episode V - The Empire Strikes Back, Mission Impossible, Raiders of the Lost Ark, Star Wars Episode IV - A New Hope\n(B) Star Wars Episode V - The Empire Strikes Back, Mission Impossible, Indiana Jones and the Last Crusade, Raiders of the Lost Ark, Too Late for Tears\n(C) Mission Impossible, Too Late for Tears, Tower Heist, Raiders of the Lost Ark, Stander\n(D) Indiana Jones and the Last Crusade, Stander, Too Late for Tears, Tower Heist, Raiders of the Lost Ark\n(E) Stander, Mission Impossible, Indiana Jones and the Last Crusade, Star Wars Episode V - The Empire Strikes Back, Tower Heist\n(F) Star Wars Episode V - The Empire Strikes Back, Mission Impossible, Star Wars Episode IV - A New Hope, Too Late for Tears, Indiana Jones and the Last Crusade\n(G) Star Wars Episode V - The Empire Strikes Back, Tower Heist, Raiders of the Lost Ark, Too Late for Tears, Indiana Jones and the Last Crusade\n(H) Star Wars Episode V - The Empire Strikes Back, Tower Heist, Stander, Raiders of the Lost Ark, Mission Impossible\n(I) Tower Heist, Star Wars Episode V - The Empire Strikes Back, Too Late for Tears, Star Wars Episode IV - A New Hope, Raiders of the Lost Ark\n(J) Too Late for Tears, Raiders of the Lost Ark, Tower Heist, Mission Impossible, Indiana Jones and the Last Crusade\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "410cf31c6ea53aaf71eaa8b9d4a309ca62496af0ba49baeb77d1414da8494f7d",
    "id": "bbeh:movie_recommendation:084",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Dead Man Walking, The Bad and the Beautiful, World's Greatest Dad, Hood of Horror, Braveheart\n(B) The Fugitive, Terminator 2 Judgment Day, Hood of Horror, World's Greatest Dad, The Shawshank Redemption\n(C) The Bad and the Beautiful, Terminator 2 Judgment Day, The Shawshank Redemption, Hood of Horror, Dead Man Walking\n(D) World's Greatest Dad, Terminator 2 Judgment Day, Braveheart, The Bad and the Beautiful, Hood of Horror\n(E) The Bad and the Beautiful, The Shawshank Redemption, Hood of Horror, Terminator 2 Judgment Day, World's Greatest Dad\n(F) World's Greatest Dad, The Bad and the Beautiful, The Shawshank Redemption, Braveheart, The Fugitive\n(G) Hood of Horror, The Fugitive, Dead Man Walking, The Shawshank Redemption, World's Greatest Dad\n(H) Dead Man Walking, The Fugitive, Braveheart, The Shawshank Redemption, Terminator 2 Judgment Day\n(I) World's Greatest Dad, The Fugitive, Braveheart, Hood of Horror, The Bad and the Beautiful\n(J) The Fugitive, Hood of Horror, Dead Man Walking, The Shawshank Redemption, The Bad and the Beautiful\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "5bd9fd35394f7f06569848a554f03fef4b39642272fec8b24cedbb4cfabd6947",
    "id": "bbeh:movie_recommendation:087",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Virus, The Lawnmower Man, Dances with Wolves, Forrest Gump, The Usual Suspects\n(B) Get Shorty, Virus, Jaws The Revenge, The Lawnmower Man, The Usual Suspects\n(C) Get Shorty, The Lawnmower Man, Dances with Wolves, Pulp Fiction, The Usual Suspects\n(D) Dances with Wolves, The Usual Suspects, Pulp Fiction, Virus, Get Shorty\n(E) Dances with Wolves, Pulp Fiction, Get Shorty, The Usual Suspects, Forrest Gump\n(F) Virus, Forrest Gump, Dances with Wolves, Pulp Fiction, Get Shorty\n(G) Forrest Gump, Pulp Fiction, The Usual Suspects, Jaws The Revenge, Get Shorty\n(H) Dances with Wolves, Virus, The Usual Suspects, Jaws The Revenge, Get Shorty\n(I) Jaws The Revenge, Virus, The Lawnmower Man, Get Shorty, Forrest Gump\n(J) Jaws The Revenge, Dances with Wolves, Pulp Fiction, Get Shorty, Forrest Gump\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "c27fd61d38ab27a2ca5f055451f37a20a85d9e28603c22765acc644ebb88f240",
    "id": "bbeh:movie_recommendation:088",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Shawshank Redemption, Dances with Wolves, Pulp Fiction, The Fugitive, Stargate\n(B) Dances with Wolves, The Shawshank Redemption, Diabolique, Stargate, The Fugitive\n(C) Stargate, Pulp Fiction, The Towering Inferno, The Shawshank Redemption, The Fugitive\n(D) Pulp Fiction, Stargate, The Shawshank Redemption, The Towering Inferno, Dances with Wolves\n(E) Diabolique, Stargate, The Shawshank Redemption, The Fugitive, Pulp Fiction\n(F) Stargate, Dances with Wolves, The Towering Inferno, Diabolique, The Collector\n(G) Dances with Wolves, Diabolique, Stargate, The Fugitive, Pulp Fiction\n(H) Dances with Wolves, The Towering Inferno, The Collector, The Fugitive, Stargate\n(I) The Collector, The Towering Inferno, Pulp Fiction, Diabolique, Dances with Wolves\n(J) Dances with Wolves, The Collector, Stargate, The Fugitive, The Shawshank Redemption\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "57abeec2d84809a8442551cc1cc40854f6e63a50aa44d491bcc996559b6201f2",
    "id": "bbeh:movie_recommendation:095",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Experimenter, Interview with the Vampire The Vampire Chronicles, Saving Santa, The House, The Mask\n(B) The Fugitive, The House, The Mask, Saving Santa, The Lion King\n(C) The Lion King, Interview with the Vampire The Vampire Chronicles, The House, Experimenter, Saving Santa\n(D) Experimenter, The House, The Lion King, The Fugitive, Saving Santa\n(E) The Mask, Experimenter, Saving Santa, The House, The Fugitive\n(F) Saving Santa, The House, Babe, Interview with the Vampire The Vampire Chronicles, Experimenter\n(G) The House, Saving Santa, Babe, The Fugitive, The Lion King\n(H) The Fugitive, The Mask, The Lion King, Interview with the Vampire The Vampire Chronicles, Babe\n(I) The Mask, Experimenter, The House, The Fugitive, Interview with the Vampire The Vampire Chronicles\n(J) The Fugitive, Saving Santa, Experimenter, The House, Babe\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "687fc11e1a0bd7df3893bbdba09655ba93cf75305712c57abd25b3e0ed6d9c0c",
    "id": "bbeh:movie_recommendation:096",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Oceans, Forrest Gump, It Can't Be!, I Know Who Killed Me, Pulp Fiction\n(B) I Know Who Killed Me, It Can't Be!, The Shawshank Redemption, Oceans, The Fugitive\n(C) Forrest Gump, Pulp Fiction, The Fugitive, Dances with Wolves, The Shawshank Redemption\n(D) The Fugitive, Pulp Fiction, Oceans, I Know Who Killed Me, It Can't Be!\n(E) Dances with Wolves, Pulp Fiction, The Fugitive, It Can't Be!, Forrest Gump\n(F) Forrest Gump, Oceans, The Shawshank Redemption, It Can't Be!, I Know Who Killed Me\n(G) Pulp Fiction, Oceans, I Know Who Killed Me, It Can't Be!, The Shawshank Redemption\n(H) Oceans, The Shawshank Redemption, Dances with Wolves, I Know Who Killed Me, It Can't Be!\n(I) Forrest Gump, The Shawshank Redemption, Oceans, Dances with Wolves, Pulp Fiction\n(J) Forrest Gump, Pulp Fiction, It Can't Be!, The Fugitive, The Shawshank Redemption\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "154117553fafbc42a7ca5bc0537247f0bd2789e9eff3e641858d64c95690dfb5",
    "id": "bbeh:movie_recommendation:103",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Reservoir Dogs, Raiders of the Lost Ark, One Flew Over the Cuckoo's Nest, Star Wars Episode V - The Empire Strikes Back, Léon The Professional\n(B) One Flew Over the Cuckoo's Nest, The Thinning, Star Wars Episode V - The Empire Strikes Back, Hereafter, Reservoir Dogs\n(C) Hereafter, Star Wars Episode V - The Empire Strikes Back, Reservoir Dogs, One Flew Over the Cuckoo's Nest, Léon The Professional\n(D) Reservoir Dogs, Hereafter, The Thinning, Thumbelina, Raiders of the Lost Ark\n(E) Star Wars Episode V - The Empire Strikes Back, The Thinning, Thumbelina, Léon The Professional, Hereafter\n(F) Star Wars Episode V - The Empire Strikes Back, Raiders of the Lost Ark, The Thinning, Reservoir Dogs, Thumbelina\n(G) Léon The Professional, The Thinning, One Flew Over the Cuckoo's Nest, Reservoir Dogs, Raiders of the Lost Ark\n(H) Léon The Professional, The Thinning, Hereafter, One Flew Over the Cuckoo's Nest, Thumbelina\n(I) Star Wars Episode V - The Empire Strikes Back, The Thinning, Léon The Professional, Hereafter, Reservoir Dogs\n(J) Raiders of the Lost Ark, Thumbelina, The Thinning, Hereafter, Léon The Professional\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "38fd15d29a75c48fc4c382443fd0392cb46b6ef12e40a6d405914f4e929c2426",
    "id": "bbeh:movie_recommendation:104",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Don Juan DeMarco, What's Eating Gilbert Grape, Mr Holland's Opus, Pulp Fiction, Get Shorty\n(B) Death Wish 2, Mr Holland's Opus, What's Eating Gilbert Grape, Don Juan DeMarco, Get Shorty\n(C) Gold Diggers of 1933, Don Juan DeMarco, What's Eating Gilbert Grape, Mr Holland's Opus, Pulp Fiction\n(D) What's Eating Gilbert Grape, Gold Diggers of 1933, Death Wish 2, Pulp Fiction, Mr Holland's Opus\n(E) Don Juan DeMarco, Get Shorty, Mr Holland's Opus, Kolya, Gold Diggers of 1933\n(F) Death Wish 2, Don Juan DeMarco, Kolya, What's Eating Gilbert Grape, Get Shorty\n(G) Mr Holland's Opus, Gold Diggers of 1933, Pulp Fiction, What's Eating Gilbert Grape, Kolya\n(H) What's Eating Gilbert Grape, Gold Diggers of 1933, Pulp Fiction, Kolya, Get Shorty\n(I) Kolya, Get Shorty, What's Eating Gilbert Grape, Don Juan DeMarco, Gold Diggers of 1933\n(J) Get Shorty, Don Juan DeMarco, What's Eating Gilbert Grape, Gold Diggers of 1933, Death Wish 2\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "343930c1e5666103b53d9dab5af0e65ed120dc5b1ef358952b6757fdd830f999",
    "id": "bbeh:movie_recommendation:107",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Metropolis, Braveheart, Toy Story, Marty, Pulp Fiction\n(B) Toy Story, Nadja, Marty, Metropolis, Braveheart\n(C) The Usual Suspects, Dances with Wolves, Pulp Fiction, Braveheart, Marty\n(D) Marty, Braveheart, Dances with Wolves, Metropolis, Toy Story\n(E) Toy Story, Braveheart, Pulp Fiction, The Usual Suspects, Marty\n(F) The Usual Suspects, Braveheart, Toy Story, Nadja, Metropolis\n(G) The Usual Suspects, Dances with Wolves, Pulp Fiction, Nadja, Marty\n(H) Nadja, Braveheart, Pulp Fiction, Marty, Metropolis\n(I) Braveheart, The Usual Suspects, Toy Story, Dances with Wolves, Pulp Fiction\n(J) Pulp Fiction, Toy Story, Braveheart, Marty, Dances with Wolves\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "8f5166e42dfa20d7889ae80fc420e26b10356c92facf0a3ff9296426f961b879",
    "id": "bbeh:movie_recommendation:108",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Toy Story, Aladdin, RoboGeisha, Being Elmo A Puppeteer's Journey, The Lion King\n(B) RoboGeisha, Far From Home The Adventures of Yellow Dog, Aladdin, Pulp Fiction, Toy Story\n(C) Far From Home The Adventures of Yellow Dog, RoboGeisha, Aladdin, Being Elmo A Puppeteer's Journey, The Lion King\n(D) Terminator 2 Judgment Day, Being Elmo A Puppeteer's Journey, The Lion King, Far From Home The Adventures of Yellow Dog, Pulp Fiction\n(E) RoboGeisha, Being Elmo A Puppeteer's Journey, Pulp Fiction, Toy Story, Aladdin\n(F) Pulp Fiction, Being Elmo A Puppeteer's Journey, Far From Home The Adventures of Yellow Dog, The Lion King, Toy Story\n(G) Pulp Fiction, RoboGeisha, Aladdin, The Lion King, Toy Story\n(H) The Lion King, Toy Story, Aladdin, Pulp Fiction, Terminator 2 Judgment Day\n(I) Being Elmo A Puppeteer's Journey, RoboGeisha, Far From Home The Adventures of Yellow Dog, The Lion King, Pulp Fiction\n(J) The Lion King, Far From Home The Adventures of Yellow Dog, Terminator 2 Judgment Day, Aladdin, Toy Story\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "1d1828ca28861df5e1e6aef1797e88b56add9a7187c4d2176a3c0f2765637bec",
    "id": "bbeh:movie_recommendation:110",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Sixth Sense, The Girl Next Door, Star Wars Episode V - The Empire Strikes Back, The Terminator, Star Wars Episode VI - Return of the Jedi\n(B) The Terminator, The Sixth Sense, The Girl Next Door, Star Wars Episode V - The Empire Strikes Back, Indecent Proposal\n(C) The Terminator, Toy Story, The Sixth Sense, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode VI - Return of the Jedi\n(D) The Terminator, Gray's Anatomy, Star Wars Episode VI - Return of the Jedi, The Sixth Sense, Star Wars Episode V - The Empire Strikes Back\n(E) Gray's Anatomy, Toy Story, Star Wars Episode V - The Empire Strikes Back, Indecent Proposal, The Girl Next Door\n(F) The Sixth Sense, Indecent Proposal, Gray's Anatomy, The Terminator, The Girl Next Door\n(G) The Sixth Sense, The Terminator, Star Wars Episode V - The Empire Strikes Back, Indecent Proposal, Gray's Anatomy\n(H) Toy Story, Indecent Proposal, The Sixth Sense, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode VI - Return of the Jedi\n(I) Toy Story, Indecent Proposal, The Terminator, The Sixth Sense, Star Wars Episode V - The Empire Strikes Back\n(J) The Girl Next Door, Gray's Anatomy, Star Wars Episode V - The Empire Strikes Back, The Sixth Sense, Star Wars Episode VI - Return of the Jedi\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "9ccf7c921e8b3f29f9d03a5278b8f61930d64aa41ae5aa7a5ea34cc40c3e928e",
    "id": "bbeh:movie_recommendation:116",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Raiders of the Lost Ark, House Party 3, Star Wars Episode IV - A New Hope, The Big Lebowski, The Silence of the Lambs\n(B) Goodfellas, The Big Lebowski, Doctor Dolittle, Pi, Raiders of the Lost Ark\n(C) Raiders of the Lost Ark, Pi, The Silence of the Lambs, The Big Lebowski, Goodfellas\n(D) The Silence of the Lambs, Pi, Goodfellas, House Party 3, The Big Lebowski\n(E) House Party 3, Goodfellas, Pi, The Big Lebowski, Doctor Dolittle\n(F) The Silence of the Lambs, House Party 3, Raiders of the Lost Ark, Pi, Doctor Dolittle\n(G) The Big Lebowski, Raiders of the Lost Ark, The Silence of the Lambs, Goodfellas, Star Wars Episode IV - A New Hope\n(H) The Big Lebowski, Doctor Dolittle, Raiders of the Lost Ark, Goodfellas, Star Wars Episode IV - A New Hope\n(I) The Silence of the Lambs, Goodfellas, House Party 3, Pi, Doctor Dolittle\n(J) Pi, The Big Lebowski, The Silence of the Lambs, Doctor Dolittle, Goodfellas\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "a557df07df2cf677039e76e56c2531b61af487073758f1db8c8f11cc65a1152e",
    "id": "bbeh:movie_recommendation:124",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Apartment, Jurassic Park, The Hot Chick, The Silence of the Lambs, Batman\n(B) Apollo 13, The Apartment, Forrest Gump, The Hot Chick, Jurassic Park\n(C) Forrest Gump, Batman, Apollo 13, The Apartment, Jurassic Park\n(D) The Apartment, Apollo 13, Batman, The Silence of the Lambs, Jurassic Park\n(E) The Hot Chick, The Apartment, Forrest Gump, Batman, Somewhere\n(F) Jurassic Park, Somewhere, Apollo 13, Batman, The Hot Chick\n(G) Batman, Forrest Gump, Apollo 13, Jurassic Park, The Hot Chick\n(H) Somewhere, Jurassic Park, The Silence of the Lambs, The Hot Chick, Forrest Gump\n(I) Somewhere, Jurassic Park, The Apartment, The Hot Chick, Forrest Gump\n(J) Forrest Gump, Jurassic Park, The Silence of the Lambs, Apollo 13, Batman\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "6ea1a29031ffd5a0d97b1609beea7a3a2ba7d667245daddc67141e52ac638c94",
    "id": "bbeh:movie_recommendation:133",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Charlie and the Chocolate Factory, The Terminator, Star Wars Episode V - The Empire Strikes Back, Family Guy Presents It's a Trap, The Sixth Sense\n(B) Family Guy Presents It's a Trap, The Terminator, Futurama Bender's Game, Star Wars Episode V - The Empire Strikes Back, Charlie and the Chocolate Factory\n(C) Star Wars Episode V - The Empire Strikes Back, The Terminator, Back to the Future, Charlie and the Chocolate Factory, The Sixth Sense\n(D) The Terminator, Toy Story, The Sixth Sense, Star Wars Episode V - The Empire Strikes Back, Charlie and the Chocolate Factory\n(E) Charlie and the Chocolate Factory, Star Wars Episode V - The Empire Strikes Back, Family Guy Presents It's a Trap, Toy Story, Futurama Bender's Game\n(F) Back to the Future, Futurama Bender's Game, Toy Story, The Sixth Sense, Family Guy Presents It's a Trap\n(G) The Sixth Sense, Toy Story, The Terminator, Star Wars Episode V - The Empire Strikes Back, Back to the Future\n(H) Futurama Bender's Game, Star Wars Episode V - The Empire Strikes Back, The Terminator, Toy Story, Back to the Future\n(I) Star Wars Episode V - The Empire Strikes Back, The Sixth Sense, Toy Story, The Terminator, Family Guy Presents It's a Trap\n(J) Toy Story, Family Guy Presents It's a Trap, Charlie and the Chocolate Factory, The Terminator, Futurama Bender's Game\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "e23a454a73fee744ef6f7f5266a65ea7c784c073d98d36857213487a4c8422fe",
    "id": "bbeh:movie_recommendation:134",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Battle Beyond the Stars, Batman, The Usual Suspects, The Atomic Submarine, Forrest Gump\n(B) Great Balls of Fire!, The Usual Suspects, Battle Beyond the Stars, Jurassic Park, Apollo 13\n(C) Battle Beyond the Stars, The Atomic Submarine, Great Balls of Fire!, Jurassic Park, Batman\n(D) The Atomic Submarine, The Usual Suspects, Jurassic Park, Apollo 13, Batman\n(E) Batman, Great Balls of Fire!, The Usual Suspects, The Atomic Submarine, Jurassic Park\n(F) The Atomic Submarine, Great Balls of Fire!, Apollo 13, Battle Beyond the Stars, Jurassic Park\n(G) Apollo 13, Battle Beyond the Stars, Batman, Forrest Gump, The Atomic Submarine\n(H) The Usual Suspects, Forrest Gump, Apollo 13, Batman, Jurassic Park\n(I) The Atomic Submarine, Battle Beyond the Stars, Jurassic Park, Great Balls of Fire!, Forrest Gump\n(J) Apollo 13, Forrest Gump, Great Balls of Fire!, Jurassic Park, Batman\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "c3b50fa766d298a957af76bda17a9eba9d9ff94c86a1d728f0c520013c20d268",
    "id": "bbeh:movie_recommendation:135",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Dudley Do-Right, Terminator 2 Judgment Day, Baby's Day Out, Les Misérables, Star Wars Episode VI - Return of the Jedi\n(B) Baby's Day Out, Star Wars Episode VI - Return of the Jedi, The Matrix, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope\n(C) Star Wars Episode VI - Return of the Jedi, Dudley Do-Right, Les Misérables, Baby's Day Out, Star Wars Episode V - The Empire Strikes Back\n(D) Les Misérables, Terminator 2 Judgment Day, Star Wars Episode V - The Empire Strikes Back, The Matrix, Dudley Do-Right\n(E) Terminator 2 Judgment Day, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode VI - Return of the Jedi, Baby's Day Out, The Matrix\n(F) The Matrix, Star Wars Episode IV - A New Hope, Star Wars Episode VI - Return of the Jedi, Star Wars Episode V - The Empire Strikes Back, Terminator 2 Judgment Day\n(G) The Matrix, Terminator 2 Judgment Day, Star Wars Episode VI - Return of the Jedi, Dudley Do-Right, Star Wars Episode IV - A New Hope\n(H) Baby's Day Out, Les Misérables, The Matrix, Terminator 2 Judgment Day, Dudley Do-Right\n(I) Terminator 2 Judgment Day, Les Misérables, The Matrix, Star Wars Episode IV - A New Hope, Dudley Do-Right\n(J) The Matrix, Dudley Do-Right, Les Misérables, Star Wars Episode V - The Empire Strikes Back, Baby's Day Out\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "c00d443b285223ff65f1d28011e5e84cb493cca5fa2882f339daef54fc32f7bd",
    "id": "bbeh:movie_recommendation:138",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Fugitive, Pale Rider, Crimson Tide, Runaway Brain, Super Mario Bros\n(B) Pale Rider, Crimson Tide, The Fugitive, Braveheart, The Usual Suspects\n(C) The Usual Suspects, Braveheart, Crimson Tide, Runaway Brain, The Fugitive\n(D) The Shawshank Redemption, Braveheart, Runaway Brain, Pale Rider, Crimson Tide\n(E) The Usual Suspects, Braveheart, The Shawshank Redemption, The Fugitive, Crimson Tide\n(F) Super Mario Bros, Runaway Brain, Pale Rider, Braveheart, The Usual Suspects\n(G) The Fugitive, Crimson Tide, Runaway Brain, The Shawshank Redemption, The Usual Suspects\n(H) The Shawshank Redemption, Pale Rider, Runaway Brain, Braveheart, Super Mario Bros\n(I) The Usual Suspects, Crimson Tide, Braveheart, The Shawshank Redemption, Runaway Brain\n(J) Runaway Brain, Super Mario Bros, The Shawshank Redemption, The Usual Suspects, Pale Rider\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "3fb54757d83236f1d76a50785f415a508ef7683cfcd20369a6c9cc4a21b162af",
    "id": "bbeh:movie_recommendation:140",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Star Wars Episode V - The Empire Strikes Back, Rear Window, American Beauty, Seven, Star Wars Episode IV - A New Hope\n(B) The Shaggy DA, Rear Window, Seven, Wadjda, Gray's Anatomy\n(C) Rear Window, Seven, The Shaggy DA, Star Wars Episode IV - A New Hope, American Beauty\n(D) Rear Window, Seven, Wadjda, Star Wars Episode V - The Empire Strikes Back, Gray's Anatomy\n(E) Wadjda, Seven, Star Wars Episode IV - A New Hope, Rear Window, Star Wars Episode V - The Empire Strikes Back\n(F) Rear Window, Star Wars Episode V - The Empire Strikes Back, Gray's Anatomy, Seven, The Shaggy DA\n(G) Gray's Anatomy, Star Wars Episode V - The Empire Strikes Back, American Beauty, Wadjda, Rear Window\n(H) Gray's Anatomy, The Shaggy DA, Rear Window, Star Wars Episode IV - A New Hope, Star Wars Episode V - The Empire Strikes Back\n(I) American Beauty, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, Rear Window, Gray's Anatomy\n(J) The Shaggy DA, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, Rear Window, Seven\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "845302c50e6a27616bfa5ffb336db11e18fcc6a7b9f8be0750e2be870c365992",
    "id": "bbeh:movie_recommendation:144",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Dances with Wolves, Cool Runnings, The Shawshank Redemption, Braveheart, The Fugitive\n(B) Get Shorty, Dances with Wolves, The Fugitive, The Shawshank Redemption, Cool Runnings\n(C) Cool Runnings, The Fugitive, Braveheart, The Shawshank Redemption, Barbershop 2 Back in Business\n(D) Braveheart, Get Shorty, Dances with Wolves, The Shawshank Redemption, Barbershop 2 Back in Business\n(E) To Be or Not to Be, Cool Runnings, Barbershop 2 Back in Business, Braveheart, The Fugitive\n(F) Barbershop 2 Back in Business, To Be or Not to Be, Get Shorty, The Shawshank Redemption, Braveheart\n(G) To Be or Not to Be, The Shawshank Redemption, Get Shorty, Barbershop 2 Back in Business, Cool Runnings\n(H) The Fugitive, Braveheart, The Shawshank Redemption, Get Shorty, Dances with Wolves\n(I) The Shawshank Redemption, Dances with Wolves, To Be or Not to Be, Barbershop 2 Back in Business, Cool Runnings\n(J) To Be or Not to Be, Cool Runnings, The Fugitive, Barbershop 2 Back in Business, The Shawshank Redemption\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "b209602d4a9bf0a05424aa874d2c9af22b33dc48568b192af8be890ff4bbd598",
    "id": "bbeh:movie_recommendation:145",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Ip Man 3, Star Wars Episode V - The Empire Strikes Back, The Wedding Ringer, Delivery Man, Raiders of the Lost Ark\n(B) The Silence of the Lambs, Raiders of the Lost Ark, Star Wars Episode IV - A New Hope, The Wedding Ringer, Delivery Man\n(C) Delivery Man, Star Wars Episode IV - A New Hope, The Wedding Ringer, Ip Man 3, The Silence of the Lambs\n(D) Goodfellas, Star Wars Episode IV - A New Hope, The Silence of the Lambs, Delivery Man, Ip Man 3\n(E) Delivery Man, Ip Man 3, Star Wars Episode V - The Empire Strikes Back, The Wedding Ringer, Star Wars Episode IV - A New Hope\n(F) Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back, The Silence of the Lambs, Goodfellas, Star Wars Episode IV - A New Hope\n(G) Star Wars Episode V - The Empire Strikes Back, The Silence of the Lambs, Raiders of the Lost Ark, Delivery Man, The Wedding Ringer\n(H) The Silence of the Lambs, Ip Man 3, Raiders of the Lost Ark, Delivery Man, The Wedding Ringer\n(I) Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back, Delivery Man, Ip Man 3, Star Wars Episode IV - A New Hope\n(J) Ip Man 3, Star Wars Episode IV - A New Hope, Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back, The Silence of the Lambs\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "231d5c3bd3affae0d18f59b42675e1c8eae7439895da1d8456a4d7551e7c73c2",
    "id": "bbeh:movie_recommendation:153",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Mambo Italiano, Clear and Present Danger, The Fugitive, Bone Tomahawk, Stargate\n(B) The Shawshank Redemption, The Fugitive, Dances with Wolves, Stargate, Clear and Present Danger\n(C) Stargate, Mambo Italiano, Air Force One, Bone Tomahawk, Clear and Present Danger\n(D) Bone Tomahawk, Air Force One, The Fugitive, Mambo Italiano, Dances with Wolves\n(E) Stargate, Air Force One, Clear and Present Danger, The Shawshank Redemption, The Fugitive\n(F) The Fugitive, Air Force One, The Shawshank Redemption, Dances with Wolves, Bone Tomahawk\n(G) Air Force One, Dances with Wolves, The Fugitive, Stargate, Mambo Italiano\n(H) Stargate, Bone Tomahawk, The Fugitive, Mambo Italiano, Dances with Wolves\n(I) The Shawshank Redemption, Stargate, Bone Tomahawk, Dances with Wolves, Clear and Present Danger\n(J) Dances with Wolves, The Fugitive, Clear and Present Danger, Stargate, Bone Tomahawk\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "afd29f21e72a18c4e8e6a3f9d7cdd8a7b1d11fba5fa51016a354a0961cac06ed",
    "id": "bbeh:movie_recommendation:154",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) A Summer's Tale, Phenomena, Pulp Fiction, In Good Company, The Shawshank Redemption\n(B) Braveheart, Phenomena, Pretty Woman, A Summer's Tale, Pulp Fiction\n(C) Pretty Woman, The Shawshank Redemption, Pulp Fiction, Braveheart, Apollo 13\n(D) Pulp Fiction, A Summer's Tale, Braveheart, Apollo 13, Pretty Woman\n(E) Phenomena, Pretty Woman, A Summer's Tale, In Good Company, Apollo 13\n(F) Pretty Woman, Braveheart, Phenomena, The Shawshank Redemption, Pulp Fiction\n(G) A Summer's Tale, In Good Company, Pulp Fiction, Apollo 13, Phenomena\n(H) Pulp Fiction, Pretty Woman, Phenomena, In Good Company, A Summer's Tale\n(I) Apollo 13, The Shawshank Redemption, Phenomena, Pulp Fiction, Pretty Woman\n(J) Pretty Woman, Braveheart, The Shawshank Redemption, Apollo 13, A Summer's Tale\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "60415fdf8b40b4d09a75e16f1e1850c651946354c023c635027d590f68ffe25c",
    "id": "bbeh:movie_recommendation:157",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Diary of Anne Frank, Boy, Schindler's List, Fargo, Forrest Gump\n(B) Seven, Forrest Gump, Fargo, Boy, The Silence of the Lambs\n(C) The Silence of the Lambs, Seven, Fargo, Forrest Gump, Schindler's List\n(D) Cleanskin, Seven, The Diary of Anne Frank, Boy, Fargo\n(E) Seven, Schindler's List, The Silence of the Lambs, Fargo, Cleanskin\n(F) Fargo, Boy, The Silence of the Lambs, Forrest Gump, Cleanskin\n(G) Fargo, Schindler's List, Seven, Boy, The Silence of the Lambs\n(H) The Diary of Anne Frank, Cleanskin, Forrest Gump, Boy, Schindler's List\n(I) Cleanskin, Boy, Forrest Gump, Fargo, The Diary of Anne Frank\n(J) Fargo, The Silence of the Lambs, Forrest Gump, Schindler's List, Cleanskin\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "d2d831f1f877a0c4cb01f98299ea76f1fd0e619732c26e9ee825d7cd6a0ea3a2",
    "id": "bbeh:movie_recommendation:164",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Usual Suspects, Toy Story, Braveheart, Dances with Wolves, Groove\n(B) Braveheart, The Usual Suspects, Dances with Wolves, Toy Story, Schindler's List\n(C) Braveheart, Dances with Wolves, Toy Story, The Dinner Game, Groove\n(D) Ashby, The Dinner Game, Groove, Schindler's List, Dances with Wolves\n(E) Braveheart, Toy Story, The Usual Suspects, Groove, Schindler's List\n(F) Groove, Ashby, Braveheart, Toy Story, The Dinner Game\n(G) The Dinner Game, Groove, Ashby, Toy Story, The Usual Suspects\n(H) The Usual Suspects, Schindler's List, Dances with Wolves, Braveheart, The Dinner Game\n(I) Groove, Schindler's List, The Usual Suspects, Ashby, Dances with Wolves\n(J) Braveheart, Ashby, Toy Story, The Usual Suspects, Schindler's List\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "37613f4ca781226d20066f42ac19de53bfa894bc6fa9e910d3430fa99e22a922",
    "id": "bbeh:movie_recommendation:165",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Hunt for Red October, The Letter, Pulp Fiction, The Opposite Sex, The Usual Suspects\n(B) The Letter, The Hunt for Red October, The Opposite Sex, Mr Holmes, The Sixth Sense\n(C) The Fugitive, Pulp Fiction, Mr Holmes, The Sixth Sense, The Letter\n(D) The Hunt for Red October, The Sixth Sense, The Usual Suspects, Pulp Fiction, Mr Holmes\n(E) The Letter, The Usual Suspects, The Fugitive, Mr Holmes, The Sixth Sense\n(F) The Usual Suspects, The Hunt for Red October, The Sixth Sense, Pulp Fiction, The Fugitive\n(G) The Letter, The Opposite Sex, The Sixth Sense, The Hunt for Red October, The Usual Suspects\n(H) The Usual Suspects, The Hunt for Red October, The Opposite Sex, The Sixth Sense, The Fugitive\n(I) The Usual Suspects, The Hunt for Red October, The Sixth Sense, The Fugitive, Mr Holmes\n(J) The Fugitive, The Opposite Sex, The Usual Suspects, The Sixth Sense, Mr Holmes\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "219c1c930b983599570d8d9b1e12c5d17a96a0a4e80f925b58eb23e9bc61caa3",
    "id": "bbeh:movie_recommendation:172",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) King of Comedy, Gladiator, The Matrix, Won't You Be My Neighbor, Robots\n(B) Inception, Saving Private Ryan, King of Comedy, Robots, Won't You Be My Neighbor\n(C) The Matrix, Inception, Saving Private Ryan, Robots, Raiders of the Lost Ark\n(D) Saving Private Ryan, Raiders of the Lost Ark, The Matrix, Inception, Gladiator\n(E) Robots, Won't You Be My Neighbor, Saving Private Ryan, Inception, Raiders of the Lost Ark\n(F) Inception, Raiders of the Lost Ark, Saving Private Ryan, Gladiator, King of Comedy\n(G) Raiders of the Lost Ark, Robots, Gladiator, The Matrix, Won't You Be My Neighbor\n(H) Saving Private Ryan, The Matrix, Raiders of the Lost Ark, Inception, Won't You Be My Neighbor\n(I) Raiders of the Lost Ark, Robots, Saving Private Ryan, The Matrix, King of Comedy\n(J) Inception, Won't You Be My Neighbor, King of Comedy, Gladiator, Robots\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "1e910aa1fd5123bab0ac3ae0941adfe3f13495c87b11e1eef3fb4e42eca8e22e",
    "id": "bbeh:movie_recommendation:175",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Aladdin, The Lion King, Batman, Hot Girls Wanted, The Deadly Bees\n(B) The Lion King, Batman, Pretty Woman, Aladdin, The Mask\n(C) Aladdin, The Mask, The Deadly Bees, Batman, The Lion King\n(D) Pretty Woman, The Deadly Bees, Batman, The Mask, The Lion King\n(E) The Lion King, Hot Girls Wanted, Mermaids, Aladdin, Batman\n(F) The Deadly Bees, Batman, The Mask, Aladdin, Mermaids\n(G) Aladdin, Pretty Woman, The Lion King, Mermaids, Batman\n(H) The Lion King, Mermaids, Hot Girls Wanted, The Mask, The Deadly Bees\n(I) Mermaids, The Deadly Bees, Hot Girls Wanted, The Lion King, Aladdin\n(J) Hot Girls Wanted, Batman, The Lion King, Pretty Woman, The Mask\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "b6960b1214ee2a675a9e462b84802309aabcb2ad464e09e4dc204d1507a046b7",
    "id": "bbeh:movie_recommendation:177",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Silence of the Lambs, Righteous Kill, Forrest Gump, Cheech and Chong's Up in Smoke, Blood The Last Vampire\n(B) The Silence of the Lambs, Forrest Gump, Jurassic Park, Seven, Blood The Last Vampire\n(C) The Silence of the Lambs, Dances with Wolves, Seven, Jurassic Park, Righteous Kill\n(D) Jurassic Park, Blood The Last Vampire, The Silence of the Lambs, Righteous Kill, Dances with Wolves\n(E) Seven, Blood The Last Vampire, Dances with Wolves, Cheech and Chong's Up in Smoke, Forrest Gump\n(F) Jurassic Park, Forrest Gump, Cheech and Chong's Up in Smoke, Blood The Last Vampire, Dances with Wolves\n(G) The Silence of the Lambs, Dances with Wolves, Forrest Gump, Righteous Kill, Blood The Last Vampire\n(H) Jurassic Park, Forrest Gump, Dances with Wolves, Seven, Blood The Last Vampire\n(I) Dances with Wolves, The Silence of the Lambs, Seven, Forrest Gump, Jurassic Park\n(J) Dances with Wolves, Righteous Kill, Forrest Gump, Seven, Jurassic Park\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "72bb4ea2264803900c22c6febbaf1c96a15e8fa46c1541ca196f16fa0929a66e",
    "id": "bbeh:movie_recommendation:186",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Toy Story, Mission Impossible, They Came Together, Hang 'Em High, Back to the Future\n(B) Back to the Future, Toy Story, X-Men, Star Wars Episode VI - Return of the Jedi, My Neighbor Totoro\n(C) Hang 'Em High, Back to the Future, Mission Impossible, X-Men, Star Wars Episode VI - Return of the Jedi\n(D) My Neighbor Totoro, Back to the Future, Toy Story, Hang 'Em High, X-Men\n(E) Toy Story, Back to the Future, They Came Together, X-Men, Mission Impossible\n(F) Star Wars Episode VI - Return of the Jedi, Back to the Future, X-Men, Toy Story, Mission Impossible\n(G) Hang 'Em High, My Neighbor Totoro, X-Men, Toy Story, They Came Together\n(H) My Neighbor Totoro, Mission Impossible, Toy Story, Hang 'Em High, Star Wars Episode VI - Return of the Jedi\n(I) Star Wars Episode VI - Return of the Jedi, Mission Impossible, My Neighbor Totoro, They Came Together, Toy Story\n(J) Hang 'Em High, X-Men, My Neighbor Totoro, They Came Together, Mission Impossible\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "8863d88f20eb7e9c5e75d02493ab9ac3c7ee2f82debfef51532b68a485ce6e00",
    "id": "bbeh:movie_recommendation:194",
    "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Ninja Shadow of a Tear, Get Shorty, Braveheart, Pulp Fiction, The Fugitive\n(B) Ready to Rumble, The Shawshank Redemption, Get Shorty, The Fugitive, Ninja Shadow of a Tear\n(C) Thoroughly Modern Millie, Ninja Shadow of a Tear, The Fugitive, Braveheart, Ready to Rumble\n(D) Pulp Fiction, Thoroughly Modern Millie, Braveheart, The Fugitive, The Shawshank Redemption\n(E) The Shawshank Redemption, Ready to Rumble, Thoroughly Modern Millie, Braveheart, Ninja Shadow of a Tear\n(F) Pulp Fiction, Get Shorty, The Fugitive, Braveheart, The Shawshank Redemption\n(G) Ninja Shadow of a Tear, Get Shorty, Thoroughly Modern Millie, Ready to Rumble, The Fugitive\n(H) Pulp Fiction, Thoroughly Modern Millie, Ninja Shadow of a Tear, Braveheart, Ready to Rumble\n(I) The Shawshank Redemption, Thoroughly Modern Millie, Braveheart, The Fugitive, Get Shorty\n(J) Braveheart, Ready to Rumble, Pulp Fiction, Get Shorty, Thoroughly Modern Millie\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "movie_recommendation"
  },
  {
    "dataset": "bbeh",
    "family": "0c63f420e2859b2329282e12a8b61c469d1808a095cfd538a722b2efbeb7ff10",
    "id": "bbeh:multistep_arithmetic:000",
    "request": "Consider the following new operations:\n\n$a & b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $-a - -b$.\n$a >< b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a & b$.\n$a ~ b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a : b$ equals $(a & a) - b$ if $b < 2$ and $(b & b) - a$ otherwise.\n$a @ b$ equals $(2 >< b) * a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $(a - b)$ if $a : b > 0$; otherwise,  it equals $a + b$.\n\nLet A = ((((-2 - -1) - (-6 ! -3)) ~ ((9 - 8) @ (-6 * -1))) : (((-3 : 7) * (5 ~ 8)) : ((6 * -3) & (-3 - 5))))\nLet B = (((((((((((((((((((((-2 - 6) * -2) * ten) ~ -5) ! 3) ~ -9) @ -3) : two) & five) >< six) @ 6) @ -8) ! 2) : 8) ! five) : 4) @ -9) ~ 7) @ -8) : 5) ~ six)\nLet C = ((((4 : ten) - (6 & -3)) : ((-9 ~ ten) >< (eight * 5))) ! (((-7 - three) @ (-3 & -8)) @ ((seven : -7) ! (-1 & 5)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9c013939d5cc93f23ee0f388e45559f2852767a1e63ce4a6fdec3432e9646a17",
    "id": "bbeh:multistep_arithmetic:002",
    "request": "Consider the following new operations:\n\n$a ][ b$ equals $(2 + b) - a$ if $a > b$ and $b$ otherwise.\n$a & b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a >< b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ~ b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n$a ; b$ equals $(b * a) ~ b$ if $|a-b| < 2$ and $(a * b) ~ a$ otherwise.\n\nLet A = ((((-4 @ -3) + (seven - three)) ; ((-10 * -7) * (-9 & -5))) * (((2 & three) & (-5 * -9)) & ((-9 - 8) - (-5 ~ 10))))\nLet B = ((((7 * nine) ~ (-10 ~ ten)) & ((6 * 6) >< (-9 @ 9))) ~ (((-4 ; -4) * (3 ~ -10)) ][ ((-7 * four) ~ (-5 + -6))))\nLet C = ((((ten >< 7) ; (ten ; -6)) - ((-9 ; six) ~ (two ][ -8))) * (((-9 ][ -10) >< (3 * five)) ; ((-8 >< one) ][ (3 ][ -6)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "b9479f728b7dc838d1a83679fce9afc6b19a1aa8fc9dea551d2f0b68fef4a41e",
    "id": "bbeh:multistep_arithmetic:004",
    "request": "Consider the following new operations:\n\n$a # b$ equals $(a + b)$ if $a * b > 0$; otherwise,  it equals $-a + -b$.\n$a <> b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a : b$ equals $(2 + b) - a$ if $a > b$ and $b$ otherwise.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a & b$ equals $(a + b)$ if $a * b > 0$; otherwise,  it equals $a : b$.\n\nLet A = ((((ten * -9) : (six * -9)) + ((6 + 7) # (nine & 1))) * (((-6 : 1) * (-2 @ -1)) * ((7 <> -2) + (4 * -5))))\nLet B = (((((((((((((((one <> 1) : -8) # -8) # four) <> eight) @ -9) + four) & 1) & -1) & -10) # -5) <> 2) - -7) @ -7) * -3)\nLet C = ((((-10 + -1) @ (8 & eight)) # ((-7 @ -10) # (5 @ -9))) # (((five + -10) & (-1 + six)) : ((-6 * -1) @ (-1 <> -5)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "62d6a6d8aef7689b83fbba8d95dbb3e9e9f2456c231664cc116e715babd60332",
    "id": "bbeh:multistep_arithmetic:010",
    "request": "Consider the following new operations:\n\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(b - a) ~ b$ if $|a-b| < 2$ and $(a - b) ~ a$ otherwise.\n$a >< b$ equals $(a + a) ! b$ if $b < 2$ and $(b + b) ! a$ otherwise.\n$a ; b$ equals $(a + b)$ if $a ~ b > 0$; otherwise,  it equals $a * b$.\n$a & b$ equals $(a + b)$ if $a * b > 0$; otherwise,  it equals $-a + -b$.\n\nLet A = ((((seven * -4) + (-5 ; eight)) ~ ((5 + -3) - (10 ! -2))) >< (((-2 ~ -5) & (-7 + 8)) >< ((three ~ 8) ~ (-10 ; two))))\nLet B = ((((-3 * -8) - (-7 * -2)) >< ((one + -4) ; (-9 ~ -6))) & (((-5 * 1) ! (-4 * -4)) * ((-9 ~ 5) ! (-9 >< 5))))\nLet C = ((((ten ~ -7) - (7 & three)) >< ((eight ~ -3) - (1 + three))) + (((-6 ~ -6) ; (-9 ! four)) ; ((five ~ one) >< (-10 & 3)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "220da63c9b75b41a758ee31fa30b749a4cc6fdee1d155d2c3309264f05cf6131",
    "id": "bbeh:multistep_arithmetic:011",
    "request": "Consider the following new operations:\n\n$a : b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a & b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(2 - b) + a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a + b)$ if $a : b > 0$; otherwise,  it equals $-a + -b$.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((7 #* 5) :+- (5 #: -9)) * ((seven -- 7) ><+ (eight # -1))) *-# (((3 :*& -3) #&>< (seven ++ -10)) -&>< ((-7 &+ -6) >< (10 +->< -1))))\nLet B = ((((-2 :& 9) >< (5 ><&& 1)) +# ((9 *& -4) *+ (10 ><+ 3))) *- (((five * -4) *#- (one :+ -5)) & ((-6 ><&& -5) * (7 : 7))))\nLet C = ((((((((((((((((((((-3 - ten) ** 9) :: 5) ><#: nine) ><-# -4) : -3) ><-: -4) ><+# 9) - 1) # eight) ><+& -9) : -5) : 1) - seven) #><& -9) -: -4) * 2) -:>< one) #&- seven) : 5).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "5da2c0fe249a53583bb36db50871e2f64f30913e3aaf0f81f96f7ca2c063b7ac",
    "id": "bbeh:multistep_arithmetic:013",
    "request": "Consider the following new operations:\n\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $(a * b)$ if $a + b > 0$; otherwise,  it equals $a ! b$.\n$a @ b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ~ b$ equals $(b - a) ! b$ if $|a-b| < 2$ and $(a - b) ! a$ otherwise.\n$a [] b$ equals $(a ! a) @ b$ if $b < 2$ and $(b ! b) @ a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((1 [] -1) []<><> (three []+* -2)) <>[][] ((-1 *<> nine) []<>- (-1 -@<> -6))) @- (((five @ three) !! (3 !@ four)) +!@ ((-10 <>@- 1) -+ (six [][] -2))))\nLet B = ((((-1 [] -8) ++ (7 ! 3)) *~ ((seven ! 1) <>@ (nine <>[] ten))) @@ (((two [] three) ~[]- (-9 <>*! -8)) *-+ ((-3 ~! 3) *@ (10 []~<> -9))))\nLet C = ((((-9 !!- -9) -@ (six * -1)) @ ((eight ~ six) @@[] (-9 ~~@ 4))) - (((-9 +@ -8) + (9 !* nine)) ~ ((-6 ~!- nine) []** (nine - seven)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "a5e3a6a299fff4bf546a877dd2ec055c22324915354155678bb3c9cd155debe1",
    "id": "bbeh:multistep_arithmetic:014",
    "request": "Consider the following new operations:\n\n$a ][ b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $-a - -b$.\n$a >< b$ equals $(b - a) ][ b$ if $|a-b| < 2$ and $(a - b) ][ a$ otherwise.\n$a ! b$ equals $(a >< a) + b$ if $b < 2$ and $(b >< b) + a$ otherwise.\n$a @ b$ equals $(a + b)$ if $a ! b > 0$; otherwise,  it equals $a >< b$.\n\nLet A = ((((-4 ! -1) @ (-9 ][ 8)) @ ((one - -9) >< (nine * 6))) + (((eight + one) + (6 + two)) ][ ((1 ][ -5) + (three ! -8))))\nLet B = ((((-3 + -10) * (six >< 4)) >< ((-1 ][ -4) ][ (5 ][ -5))) * (((10 @ eight) * (3 + -2)) * ((8 @ 8) * (-6 >< five))))\nLet C = ((((1 ! -10) + (-1 - -4)) ! ((7 @ five) * (nine @ 4))) - (((-9 * -1) * (9 >< one)) >< ((five >< -7) + (seven ][ 10)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "5283fda95211d91764d1dc702742727da132980a74d09a7040d372e31787065c",
    "id": "bbeh:multistep_arithmetic:016",
    "request": "Consider the following new operations:\n\n$a >< b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a : b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a + b$.\n$a ; b$ equals $(a * b)$ if $a : b > 0$; otherwise,  it equals $a >< b$.\n$a # b$ equals $(a >< b)$ if $a * b > 0$; otherwise,  it equals $-a >< -b$.\n\nLet A = (((((((((((1 >< 1) + 5) + -10) >< 8) # ten) ; 6) - eight) # -10) # 3) * three) - -10)\nLet B = ((((-6 - 2) >< (7 # -7)) - ((-2 * three) ; (-9 ; 10))) + (((3 >< -10) : (-5 - nine)) >< ((-6 ; -2) # (4 ; 1))))\nLet C = ((((((((((((-1 - -10) >< six) * -10) + -9) - -6) ; -7) ; -3) # -2) # -6) # 2) # 10) + ten).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "c5bee48d70911afda585c01a38f7e6591536a0692d5b779a3f0c225cea4d3f25",
    "id": "bbeh:multistep_arithmetic:023",
    "request": "Consider the following new operations:\n\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a @ b$ equals $(b * a) <> b$ if $|a-b| < 2$ and $(a * b) <> a$ otherwise.\n$a # b$ equals $(a - a) @ b$ if $b < 2$ and $(b - b) @ a$ otherwise.\n$a ~ b$ equals $(a @ b)$ if $a - b > 0$; otherwise,  it equals $-a @ -b$.\n$a ; b$ equals $(a - b)$ if $a ~ b > 0$; otherwise,  it equals $a + b$.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((10 *# -6) ;+ eight) **# 3) -~ 1) @ -7) ~*# 3) #- -8) + -7) @ -4) <>*@ 7) ~- 6) @ 6) ;+ seven) - 9) ~+ -9) +~ three)\nLet B = ((((6 - -2) -# (four #+@ -8)) + ((-2 @* 9) ~;# (seven ++ -8))) ~<> (((-8 @ 5) ++ (1 *~# ten)) -<> ((-6 <>;* 10) ~ (5 - -7))))\nLet C = ((((5 @~ -8) ; (four ;;# 8)) #-+ ((three *~- -9) ;+ (3 + six))) ; (((4 +;+ -6) #* (6 <>-@ 10)) ~ ((9 #@ -8) <>+ (-2 + -4)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "398141307f1ec0c40b36bd68d686ff7cb2901c59d057e7189eb3ea01f47367a7",
    "id": "bbeh:multistep_arithmetic:026",
    "request": "Consider the following new operations:\n\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ][ b$ equals $(b + a) : b$ if $|a-b| < 2$ and $(a + b) : a$ otherwise.\n$a @ b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\n\nLet A = ((((((((((((((-6 * 7) ; -2) : three) * -3) + -6) @ -7) - three) + two) + -7) ; -6) ; 7) ][ 4) * -1) + -6)\nLet B = ((((seven + 9) ; (8 ][ -10)) : ((-5 * two) @ (seven + one))) @ (((four @ 2) : (9 ][ -8)) @ ((9 : 3) ][ (10 @ four))))\nLet C = ((((((((((((((((((((-1 ; four) * -9) ][ ten) + -8) + two) @ -6) + four) + five) ; 2) - 4) - 2) + one) - four) : -10) @ four) @ -3) * 7) + -5) : three) : -4).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "6e3f59795f516ea31204663b2d4b94c0214014a2d67c98ccee99a0421114ac08",
    "id": "bbeh:multistep_arithmetic:027",
    "request": "Consider the following new operations:\n\n$a & b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n$a [] b$ equals $(a - b)$ if $a & b > 0$; otherwise,  it equals $-a - -b$.\n$a <> b$ equals $(b ! a) & b$ if $|a-b| < 2$ and $(a ! b) & a$ otherwise.\n$a # b$ equals $a & b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((((((-7 -<># 4) -*<> -8) !- -9) & -8) # 9) *++ -6) #[] 9) # -8) ! 2) & -4) []@[] -1) <>* -4) *[] 4) @!+ -10) []-& 5) !@@ -9) <> -8) -[] ten) ! -4) ! 10) [] 4) []<> seven) [] -8)\nLet B = (((((((((((((((seven # -4) -+ 8) @* -2) -* ten) * ten) & 8) [][]- -4) []+ four) <># -10) <>+ 2) -![] three) & -9) []@* -8) -! -5) * -7)\nLet C = ((((-10 *@@ 7) @ (three -*+ -8)) @-[] ((5 # -8) -<> (7 -!- -10))) [] (((-10 * ten) # (-3 & -9)) + ((-2 & -5) --+ (6 #[] 5)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "62bc3b0de645a548b2256e5cfbc476b93579ed651b2617c55a29576625c0c984",
    "id": "bbeh:multistep_arithmetic:030",
    "request": "Consider the following new operations:\n\n$a ; b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a & b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a [] b$ equals $(a * b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a : b$ equals $(2 [] b) ; a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a - b)$ if $a ; b > 0$; otherwise,  it equals $-a - -b$.\n\nLet A = ((((six * ten) [] (six + ten)) [] ((-2 # -9) * (-6 ; four))) : (((-2 : -7) * (five [] 1)) - ((four : -9) ; (-4 & -4))))\nLet B = ((((four - -1) ; (nine - 10)) - ((6 [] 9) [] (two + -7))) # (((4 : eight) - (one : -4)) * ((-4 [] -6) # (five [] -9))))\nLet C = ((((-2 * -8) + (-6 : 7)) * ((-6 & -1) : (1 : -2))) # (((six & 1) : (2 [] -1)) : ((-9 [] 1) - (-8 : 10)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "67b051c9960d7c89b689ef5cbadfce6f055e75374c76bca06d35b94ff0a337dd",
    "id": "bbeh:multistep_arithmetic:033",
    "request": "Consider the following new operations:\n\n$a <> b$ equals $(b + a) * b$ if $|a-b| < 2$ and $(a + b) * a$ otherwise.\n$a # b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $a <> b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a & b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a + b$.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-9 &! -9) &#+ (ten #&# -3)) &!+ ((two & 5) ## (3 -- -10))) * (((four * -5) *- (-10 #- nine)) & ((five -- 6) & (two &+& ten))))\nLet B = ((((seven <><> 7) -# (seven ++ 8)) && ((-3 # five) - (-6 &<># 9))) !# (((nine +&- 3) +-+ (-3 ## nine)) - ((-5 <>&* -9) * (8 - -2))))\nLet C = ((((-7 &#! 6) && (8 <><> -8)) -<> ((6 <> -1) -*+ (three <> 2))) #* (((-5 - -9) & (-2 ! -9)) & ((-10 #+ -1) #!+ (-2 * five)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "41c2eb34cfc241bf784aa97555b16b57c4bcde56f50faaa6920c05e87e1278d3",
    "id": "bbeh:multistep_arithmetic:045",
    "request": "Consider the following new operations:\n\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(a * b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a & b$ equals $(b * a) ! b$ if $|a-b| < 2$ and $(a * b) ! a$ otherwise.\n$a ; b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a [] b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-8 - eight) - (-2 -[] -1)) [] ((-8 [] nine) :+ (1 ; 5))) *! (((six ;! 2) ! (-10 + three)) +: ((five + -5) ; (-1 : -1))))\nLet B = ((((((((((((((ten &[] ten) [];& -10) ! 10) - 4) ; 1) &:! 10) + -1) * 10) +& -4) ;!; -10) - three) !* -2) ;++ one) [] -6)\nLet C = ((((-7 ; -3) []& (-1 +-: 5)) + ((9 & -5) []! (-1 ; 9))) + (((-6 [] 8) []* (10 * -9)) :; ((six +![] -8) !- (-9 [] nine)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9b62ba167777ff5973a34a957810a721dedc0104ebd162b9400453a465f2ad96",
    "id": "bbeh:multistep_arithmetic:046",
    "request": "Consider the following new operations:\n\n$a <> b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\n$a [] b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a >< b$ equals $(a - b)$ if $a <> b > 0$; otherwise,  it equals $a + b$.\n\nLet A = ((((seven <> six) + (eight : -8)) >< ((-7 & 9) <> (-2 - -7))) + (((4 >< -1) : (-10 * two)) + ((-7 & two) - (eight + nine))))\nLet B = ((((-4 & -8) >< (8 [] -3)) - ((7 * -3) * (5 * -6))) >< (((3 : seven) - (eight - -3)) * ((five * 8) * (-8 - 10))))\nLet C = ((((nine * 1) : (5 + -3)) + ((-2 [] -5) >< (-10 + -5))) + (((nine : -9) <> (6 [] eight)) + ((-3 <> 1) [] (-6 >< -2)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "16f5bcbcf4a650cd553dbe117073442af497034437bb0284a971dc5a2cfea9a7",
    "id": "bbeh:multistep_arithmetic:048",
    "request": "Consider the following new operations:\n\n$a >< b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\n$a @ b$ equals $(2 - b) + a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a [] b$ equals $(b @ a) # b$ if $|a-b| < 2$ and $(a @ b) # a$ otherwise.\n$a ~ b$ equals $(a * b)$ if $a >< b > 0$; otherwise,  it equals $a @ b$.\n\nLet A = ((((-3 # -6) >< (-3 @ -9)) * ((-6 - -9) - (8 >< -4))) * (((-7 - 3) + (10 + 9)) [] ((nine @ -8) * (three - -9))))\nLet B = ((((9 @ -9) + (two >< -2)) + ((-7 + ten) - (-10 >< nine))) [] (((three >< -10) # (6 [] 8)) ~ ((6 >< two) - (-5 - -10))))\nLet C = (((((((((((3 # -7) @ -5) [] 7) # -6) >< -6) * -2) @ -1) - -4) @ 3) - four) [] -8).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "0f7ea15278041406bb2f9dca6a880e50f574e921ce966680b3483eb7b2cb4231",
    "id": "bbeh:multistep_arithmetic:055",
    "request": "Consider the following new operations:\n\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a [] b$ equals $(a * a) ! b$ if $b < 2$ and $(b * b) ! a$ otherwise.\n$a # b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((four -- -9) - -5) <> four) ! -4) -<> -10) +[] -8) *! 3) ++ -9) []+# -5) +[] -9) ![] six) *<><> three) **! -1) *!+ 5) - five) !* 4) + four) * 6)\nLet B = ((((((((((((five ![] -5) + 1) -## -3) []+ one) #<><> -9) + 8) [] -4) - eight) +[]* -8) [] 10) <>* 1) <>#* -1)\nLet C = ((((((((((((4 +* -1) - nine) []++ -7) *<>+ 1) - -9) []+ -5) !-[] 7) []+! -10) **# -5) * -5) --<> -9) - -4).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "c06a1718567d67854c97972a3afc3ca32bfb0430b5c26ae7a674297576ab5378",
    "id": "bbeh:multistep_arithmetic:057",
    "request": "Consider the following new operations:\n\n$a >< b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a : b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(a >< b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a & b$ equals $(a : b)$ if $a - b > 0$; otherwise,  it equals $-a : -b$.\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((one +~+ four) &~& (-3 ~& three)) +: ((6 ][: 6) ][-][ (two !+][ -8))) ][: (((-3 &~~ -8) ~~>< (-9 ~: two)) +!! ((five +~ three) :! (-9 ><*>< 9))))\nLet B = ((((six & 1) -& (1 *!~ -3)) +*: ((-6 :~! 10) *- (7 ~][ 2))) :~ (((-6 +- eight) ~ (-6 ~ five)) ~** ((-8 +&& 9) : (-5 -~ -9))))\nLet C = ((((one :&~ five) +][][ (-6 & -4)) *-& ((3 -* two) & (-4 :~& 10))) * (((ten ~+ -8) ><-+ (-4 + -6)) *:>< ((nine -! -3) ~ (-2 :~ -1)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "c1c2020dd0175ccee8b37fcaf9713c58c5982190adf84a5b551106cbf30a51bb",
    "id": "bbeh:multistep_arithmetic:066",
    "request": "Consider the following new operations:\n\n$a : b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a ! b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a >< b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ~ b$ equals $(a * b)$ if $a - b > 0$; otherwise,  it equals $-a * -b$.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(2 : b) ~ a$ if $a > b$ and $b$ otherwise.\n\nLet A = ((((four @ 1) ~ (six + 3)) >< ((-4 - -9) ~ (seven : -9))) ! (((-9 ~ -10) - (-10 * 10)) : ((6 - -5) - (5 @ 5))))\nLet B = ((((((((((((((((((((7 ~ five) ~ -5) * three) @ -4) >< -4) + 3) : 3) + -8) - one) >< 8) + -8) # 7) # -3) : -5) ! one) - -10) >< four) * four) ! one) ! two)\nLet C = ((((5 ~ three) # (-8 ~ -10)) ! ((8 # -3) : (-1 : 7))) >< (((-5 ~ 10) ! (7 # five)) - ((9 * 7) >< (-5 + 5)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "5c8938ce1ee8d8176d3e3cabb361378aa17416e3d6fd68419af6609e46d5d646",
    "id": "bbeh:multistep_arithmetic:070",
    "request": "Consider the following new operations:\n\n$a [] b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $-a - -b$.\n$a ; b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a ! b$ equals $(2 [] b) * a$ if $a > b$ and $b$ otherwise.\n$a @ b$ equals $(a ! b)$ if $a - b > 0$; otherwise,  it equals $a * b$.\n\nLet A = ((((-5 ; -7) + (two @ -4)) [] ((-9 [] -2) ! (6 * one))) [] (((seven - six) [] (6 + -6)) * ((-2 [] 9) ; (-1 - 5))))\nLet B = ((((nine ; seven) [] (6 * seven)) [] ((two ! -2) + (three [] -6))) ; (((one - 8) + (-5 @ -5)) ; ((-4 - 10) ; (-3 @ 6))))\nLet C = ((((-10 ! -1) ! (-5 + -6)) @ ((-8 + 5) * (-10 + 10))) ; (((-3 - 3) ; (2 [] -5)) - ((2 * 9) - (-8 [] 2)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9b4d0c759c1192ef2b85f6f51b7e619a90461d3fa2f4b18990fe2102adeaf6ad",
    "id": "bbeh:multistep_arithmetic:071",
    "request": "Consider the following new operations:\n\n$a ~ b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n$a @ b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a + b$.\n$a : b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a ][ b$ equals $(2 + b) ~ a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-2 ][ -7) ][ (-2 @ -7)) * ((nine - 1) ~ (2 - -8))) - (((2 - 2) @][ (-2 +: -8)) + ((-10 @ 2) :~~ (5 @ eight))))\nLet B = ((((-7 + -2) +- (4 : -1)) : ((1 ~:@ -2) @~ (-10 ~+- 1))) : (((-1 -~ -4) *-~ (-10 : -10)) ][ ((-4 ~@ 2) ][ (-2 ~@ two))))\nLet C = ((((seven :+@ -10) ~ (10 ~ -5)) -][@ ((one +:@ seven) *-* (-2 ][ seven))) - (((3 - -6) +* (-1 :- -8)) ][- ((-8 :-* -3) -+][ (nine ~@* -2)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "84da9ad322a8287c5c8fc26175d3dc3b79f85fc48f637d88a8e4318d7b7eed8b",
    "id": "bbeh:multistep_arithmetic:073",
    "request": "Consider the following new operations:\n\n$a ! b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a & b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ~ b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((eight -][- -7) ][- 8) -+ 2) ][+~ 8) * eight) ][][* two) -++ -8) + 10) ~ -3) *-][ -10) - 6) ][][! 2) +* 4) ][ nine) ~~ -10) !*+ -8) ~! six) + 4) !][ 3)\nLet B = ((((5 +~ nine) -*~ (-7 & 4)) ~- ((-2 !++ 10) ! (-8 * -4))) -][- (((-2 !-! -5) ~*& (-1 &&+ 7)) ~! ((-6 && 4) + (4 - two))))\nLet C = ((((four +][ -3) -!+ (-2 ][][ -10)) ][][+ ((-8 ][][ -2) +*& (-6 -][~ -5))) ! (((ten --][ -10) - (-7 +! -3)) + ((-9 ~+- -8) & (nine + -2)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "3faa970cd1edacc251c9f6707c8ae355b6390ddd32434e3cee3d4a6486cf00af",
    "id": "bbeh:multistep_arithmetic:078",
    "request": "Consider the following new operations:\n\n$a & b$ equals $(a * b)$ if $a + b > 0$; otherwise,  it equals $a - b$.\n$a : b$ equals $(a * a) & b$ if $b < 2$ and $(b * b) & a$ otherwise.\n$a <> b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a + b$.\n$a ~ b$ equals $a & b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((((((((((((-2 : ten) ~ ten) + -9) & -5) ~ -1) - ten) ~ -9) & seven) - 1) - -10) <> -1) + -10) & -9) <> -10)\nLet B = (((((((((((((((2 & -10) + -3) & -4) - 3) + -7) - -2) : 3) ~ -10) ~ -9) ~ -4) <> one) * 4) : 8) + -9) - eight)\nLet C = ((((-6 : two) <> (8 - -6)) : ((8 <> six) ~ (8 + three))) - (((two & -9) & (-3 - -4)) - ((-1 ~ -10) + (-10 - 1)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "50a1e52458e803092bed9479f9240c4588284ca88ba364627e2f27c3dcd8df49",
    "id": "bbeh:multistep_arithmetic:084",
    "request": "Consider the following new operations:\n\n$a ; b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a : b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a [] b$ equals $(a : a) ; b$ if $b < 2$ and $(b : b) ; a$ otherwise.\n$a @ b$ equals $(a : b)$ if $a - b > 0$; otherwise,  it equals $a * b$.\n\nLet A = (((((((((((((two + 4) : -10) ; 5) ; 6) + -1) @ 6) + -5) * -1) @ 6) @ 8) + -6) [] 9) ; -3)\nLet B = (((((((((((((((((((((-2 * -6) : -2) @ -8) : 5) ; 3) * -1) : -2) * two) @ -4) [] -8) @ 7) - eight) ; 1) [] -3) @ -9) * -1) : nine) [] two) : -8) @ 8) [] -1)\nLet C = ((((one : -10) [] (-7 * four)) @ ((nine : ten) - (-8 + -10))) + (((-8 * six) : (1 : two)) @ ((-8 - -8) * (-5 [] -9)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "294b263b37cb4f7c7a7e05c13bd486fe4fb49f5089b60aef7d554884dc385d3f",
    "id": "bbeh:multistep_arithmetic:093",
    "request": "Consider the following new operations:\n\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a @ b$ equals $(a - a) + b$ if $b < 2$ and $(b - b) + a$ otherwise.\n$a [] b$ equals $(b + a) * b$ if $|a-b| < 2$ and $(a + b) * a$ otherwise.\n$a >< b$ equals $(a * b)$ if $a [] b > 0$; otherwise,  it equals $a & b$.\n$a ~ b$ equals $(2 & b) - a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a - b)$ if $a [] b > 0$; otherwise,  it equals $a + b$.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((one >< 3) -#- three) -@ 2) &~- three) []- -8) ~ 2) *& nine) && five) +@* -9) ><*~ one) &[]@ -2) ><-- -1) *[]# -7) ~ -4) ><* 1) *>< -3) - -3) ~ three)\nLet B = ((((eight +&& -3) & (-10 @ 10)) +@# ((-10 +-~ six) -#~ (two *@ -3))) []& (((-4 # -7) []><# (-2 &>< two)) &~ ((-8 @ 2) -+# (9 [] -6))))\nLet C = ((((-10 ~><* -5) -- (ten ~ -4)) ><#~ ((10 ><& 4) ~* (three @-+ -7))) ><- (((6 ><@ 3) >< (-2 *~@ 5)) # ((-10 -* ten) ##>< (7 * -2)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "15c6e2f8598a3eed375dda79161183664fa2efb325e94bd727b2b402a45c29a1",
    "id": "bbeh:multistep_arithmetic:094",
    "request": "Consider the following new operations:\n\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a : b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\n$a ; b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(a + b)$ if $a & b > 0$; otherwise,  it equals $-a + -b$.\n$a @ b$ equals $(a - b)$ if $a [] b > 0$; otherwise,  it equals $a + b$.\n$a <> b$ equals $(b - a) @ b$ if $|a-b| < 2$ and $(a - b) @ a$ otherwise.\n\nLet A = ((((((((((((ten @ -5) - 5) - -1) - 4) <> 2) [] 4) <> -4) [] 7) : -9) + ten) * -3) @ -5)\nLet B = ((((-10 @ 4) ; (8 @ -5)) * ((-5 : -1) @ (ten <> 5))) ; (((6 ; -9) ; (5 & -9)) : ((-7 <> three) <> (nine <> -5))))\nLet C = (((((((((((((((((six + one) ; -5) + -10) : -6) : 4) : 7) * -8) : eight) : -9) & 10) ; 6) : -1) : ten) + ten) + 2) [] -1) @ two).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "2b285af4a93421fc96e81d027bf83eeb4c621bf5b903780a98a2ef96aceb10fa",
    "id": "bbeh:multistep_arithmetic:095",
    "request": "Consider the following new operations:\n\n$a ][ b$ equals $(2 + b) - a$ if $a > b$ and $b$ otherwise.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ~ b$ equals $(a @ b)$ if $a * b > 0$; otherwise,  it equals $a ][ b$.\n$a ! b$ equals $(a ][ b)$ if $a @ b > 0$; otherwise,  it equals $-a ][ -b$.\n$a [] b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\n$a <> b$ equals $(b @ a) ! b$ if $|a-b| < 2$ and $(a @ b) ! a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((-1 ~ -6) @@ seven) <> four) ~ -8) -* -2) ][! 9) - -6) +][* 9) @*][ -7) + -10) -<>+ 2) []! -3) []+ -7) ][][- -7) ~+ -2) ~ three) ~][ 4) + -1) []! -3)\nLet B = ((((six <>-@ -5) +[][] (-10 +][ -5)) ! ((seven - -7) ][[]<> (-9 *@+ 3))) - (((9 ][- -3) @! (five ! 2)) -*@ ((-9 []![] ten) !~ (-4 ][ -7))))\nLet C = ((((-7 ~ four) ][@ (-4 ! three)) -<> ((2 <><> 10) ][++ (-4 ! -2))) +- (((9 -+[] ten) -][ (ten +[]<> two)) ++ ((-9 ][ -9) ! (-4 * -4)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "057e5abb998bc6d9acea22ed4d072a7b4fe29e6e7ba9431300b65628504b65bb",
    "id": "bbeh:multistep_arithmetic:103",
    "request": "Consider the following new operations:\n\n$a >< b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a & b$ equals $(a - a) + b$ if $b < 2$ and $(b - b) + a$ otherwise.\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(a + b)$ if $a & b > 0$; otherwise,  it equals $a >< b$.\n$a ! b$ equals $(b >< a) & b$ if $|a-b| < 2$ and $(a >< b) & a$ otherwise.\n$a @ b$ equals $(2 >< b) + a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-10 @!>< -1) +&& (-10 ! 5)) !~[] ((-3 * five) ~@[] (five -- -10))) +** (((two -[]~ -10) ! (6 @>< -8)) &!>< ((-1 ! 7) - (nine *~! -4))))\nLet B = (((((((((((((((((four @ 8) @+[] -3) !>< -6) *[] one) & 1) ![] 7) ! -9) []@& seven) >< 2) ~><+ -9) +&& 8) & four) - -1) @ six) ~ -1) - nine) + -6)\nLet C = ((((((((((((((((-6 ~+ 3) +@! 8) ~>< -10) ><>< eight) !~ -6) []@ -5) * 6) []!~ five) &*& 3) []@ 10) ><+- -9) * 3) @+ 1) ~ -5) []++ -10) @! seven).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "978de024501021155b08613a53c92fb285c8535b7b3f1c36c987716bacb020cd",
    "id": "bbeh:multistep_arithmetic:106",
    "request": "Consider the following new operations:\n\n$a @ b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a <> b$ equals $(a @ a) * b$ if $b < 2$ and $(b @ b) * a$ otherwise.\n$a >< b$ equals $(2 <> b) + a$ if $a > b$ and $b$ otherwise.\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a : b$ equals $(a + b)$ if $a <> b > 0$; otherwise,  it equals $a >< b$.\n$a ! b$ equals $(a - b)$ if $a <> b > 0$; otherwise,  it equals $a + b$.\n\nLet A = (((((((((((((4 * five) * 6) ~ -10) : -7) + 2) >< -4) - -5) * two) + nine) * -7) >< 2) >< -3) ~ 9)\nLet B = ((((((((((((((((five * -5) ~ -6) <> 10) * 2) - -9) ~ -1) + -7) <> -7) >< -5) @ 1) ! -10) >< ten) @ -8) - -10) <> -5) * -4)\nLet C = (((((((((((((((((((-5 >< -6) ~ -10) >< -6) - -10) + -10) + seven) - -3) >< -8) ~ 5) ~ 3) : -10) - 4) >< -10) - ten) * nine) ~ -4) <> -3) - 7) @ -1).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "f64897047a767df0f627a191fc4a30a7cc516b40a4d3ffb280a4026423160320",
    "id": "bbeh:multistep_arithmetic:107",
    "request": "Consider the following new operations:\n\n$a <> b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a & b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(a <> b)$ if $a - b > 0$; otherwise,  it equals $a & b$.\n$a [] b$ equals $(a & a) <> b$ if $b < 2$ and $(b & b) <> a$ otherwise.\n$a ~ b$ equals $(b & a) - b$ if $|a-b| < 2$ and $(a & b) - a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((9 !-~ three) ~+ (seven !*! -8)) ~ ((-2 +[]& -2) &~* (-6 !+[] -8))) & (((-3 <> -3) !~+ (-5 -& -3)) +*~ ((2 !~ seven) & (4 ~* 1))))\nLet B = (((((((((((((((((((seven + six) !~[] eight) -* nine) *<> -5) &*[] -8) +&+ six) +& -5) <>* 7) ~+ -8) + 7) ! 9) ~*~ five) !- -2) &[] eight) ~<> 7) +[]& -8) ~ -6) <>- six) ~ -7)\nLet C = ((((((((((((6 - -8) <>! 6) * one) -<>! 1) & 8) **~ -8) <>~<> -1) !! 2) <>~ 9) **- -8) ! 4) &* -3).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "321cb35dcdaa51deadfc6c746538db10c84e723e3550088bdcb79b7aaf88bf61",
    "id": "bbeh:multistep_arithmetic:115",
    "request": "Consider the following new operations:\n\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ~ b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a ; b$ equals $(a ~ b)$ if $a * b > 0$; otherwise,  it equals $a - b$.\n$a & b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a [] b$ equals $(a - b)$ if $a >< b > 0$; otherwise,  it equals $a + b$.\n$a @ b$ equals $(2 >< b) ~ a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((6 *><~ -9) ><~ 5) @;~ 4) @;- 7) &*+ 1) & -6) -; -9) ><-- -5) >< five) **@ 6) @+>< 6) @><~ -8) ;-; 4) +><; six) +~>< -10)\nLet B = ((((-7 ~* six) ;; (1 *[]>< -2)) * ((five @><- 2) +;@ (-7 >< -10))) >< (((-10 ~ four) +*[] (2 ><[] 2)) +; ((-1 ;+ -2) ; (four +@>< -2))))\nLet C = ((((-6 ~ -10) + (-9 +& 9)) & ((8 && -1) ;; (-2 ><[] 5))) ~[] (((one ~ -9) ; (eight &[]~ -6)) [] ((3 &-& -1) *; (-4 []@ -8)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "72ea24c8c68fc4f798bd4dbcef757a236fe7aaf6ffbae7179ccd638ce93b11c0",
    "id": "bbeh:multistep_arithmetic:126",
    "request": "Consider the following new operations:\n\n$a ][ b$ equals $(b - a) + b$ if $|a-b| < 2$ and $(a - b) + a$ otherwise.\n$a & b$ equals $(a + b)$ if $a * b > 0$; otherwise,  it equals $a ][ b$.\n$a : b$ equals $(a & b)$ if $a + b > 0$; otherwise,  it equals $-a & -b$.\n$a <> b$ equals $(a - b)$ if $a & b > 0$; otherwise,  it equals $a + b$.\n$a ! b$ equals $(a & a) * b$ if $b < 2$ and $(b & b) * a$ otherwise.\n$a # b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = (((((((((((((((-1 * -6) # -9) & -5) ][ -10) & -4) ][ nine) : 4) : -8) ][ -2) + -8) <> -9) + 6) & one) - -8) - 10)\nLet B = ((((((((((((-7 - -2) * -8) ][ 9) * -5) # -8) & five) ! -1) + -2) & -5) # 3) & -8) & five)\nLet C = ((((-4 - -9) - (-3 * 3)) ][ ((3 <> -5) <> (-3 ][ -6))) + (((-8 ][ -3) & (-5 # -4)) ][ ((-8 <> three) * (five : -1)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "29aab9f0d028777f5fba55081d847270e6bcf53a7ae094ebd0437585a2626928",
    "id": "bbeh:multistep_arithmetic:134",
    "request": "Consider the following new operations:\n\n$a [] b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a <> b$ equals $(a * a) [] b$ if $b < 2$ and $(b * b) [] a$ otherwise.\n$a & b$ equals $(2 <> b) [] a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(b * a) [] b$ if $|a-b| < 2$ and $(a * b) [] a$ otherwise.\n$a >< b$ equals $(a - b)$ if $a <> b > 0$; otherwise,  it equals $a + b$.\n\nLet A = (((((((((((((((nine & -4) * -4) - eight) ][ 9) * -1) >< nine) * 2) * 2) + four) <> 2) >< 8) - -9) [] -6) >< -4) >< 9)\nLet B = ((((-3 * -10) & (one ][ -10)) [] ((-5 [] five) <> (-6 * nine))) >< (((4 ][ -8) [] (one <> 7)) & ((-1 >< three) ][ (1 + five))))\nLet C = ((((((((((((7 <> -9) - -3) * 9) + 9) - 10) + -9) [] two) & 2) >< ten) * -8) <> 5) + nine).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "fdcaaffe25bf94fbfd737df4a4aa77ac92ccb1717b42b41cf43c992f1f29579b",
    "id": "bbeh:multistep_arithmetic:137",
    "request": "Consider the following new operations:\n\n$a <> b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a # b$ equals $(a <> b)$ if $a - b > 0$; otherwise,  it equals $-a <> -b$.\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a & b$ equals $(2 * b) # a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $(b # a) + b$ if $|a-b| < 2$ and $(a # b) + a$ otherwise.\n$a ][ b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((six - -2) +#+ -6) & -7) * 8) - -7) * 3) &- -10) ][!# -4) &][ -4) ++ -1) : -1)\nLet B = ((((-10 ][&* -8) -#: (-1 *-<> 5)) !&<> ((3 -: five) &&& (8 #: -1))) &&+ (((-9 <>:# -5) &&: (-7 + eight)) ][ ((nine - -2) :: (-5 *:+ 1))))\nLet C = ((((two ][:+ seven) + (7 <># -9)) *][ ((2 & 6) :][# (-5 ][ -5))) : (((-9 +: six) + (ten +][ nine)) +!: ((-7 <> 2) ++ (seven +][<> -3)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "58b4d2b1392e059a27dbf6f0c3b31809abada32b952011fb6fce9fc9614d2a76",
    "id": "bbeh:multistep_arithmetic:140",
    "request": "Consider the following new operations:\n\n$a : b$ equals $(a + b)$ if $a - b > 0$; otherwise,  it equals $-a + -b$.\n$a ][ b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $a + b$.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(b : a) * b$ if $|a-b| < 2$ and $(a : b) * a$ otherwise.\n$a ~ b$ equals $(a ! a) * b$ if $b < 2$ and $(b ! b) * a$ otherwise.\n\nLet A = ((((7 ][ one) [] (-8 ][ four)) ][ ((10 - -1) : (four ][ -7))) + (((-8 ~ -5) + (-8 ! -10)) ~ ((-3 * 2) * (6 [] -5))))\nLet B = (((((((((((5 ~ -7) ][ -6) - -9) ! -10) + -8) : two) * 4) ! -10) * 5) - -4) : -5)\nLet C = ((((((((((((-7 ~ -2) [] 8) ][ -5) + -10) + -1) : -6) ! -2) ! three) ! -1) + -4) * 7) ~ -9).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "460c60e7e676213e708187071cdd2ae85d0727c9290d374c8dc5fd991937d7bf",
    "id": "bbeh:multistep_arithmetic:141",
    "request": "Consider the following new operations:\n\n$a # b$ equals $(a + b)$ if $a * b > 0$; otherwise,  it equals $-a + -b$.\n$a : b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a [] b$ equals $(a + b)$ if $a : b > 0$; otherwise,  it equals $a - b$.\n$a <> b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\n$a ~ b$ equals $(a - b)$ if $a <> b > 0$; otherwise,  it equals $a + b$.\n$a & b$ equals $(b + a) # b$ if $|a-b| < 2$ and $(a + b) # a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((-7 -<> -3) #* three) ~ -1) ~ -1) []&[] 10) : three) [] -7) #+ -10) []&: 6) ~[]~ -1) - -10) []+~ five)\nLet B = ((((-8 <>:# 5) -~ (-5 &#* -10)) [] ((8 &<>[] -7) #*+ (-4 *- two))) <><>+ (((-2 ~<>~ 7) -~[] (9 : -6)) -# ((-1 []<> -10) +#[] (-8 <>+ -3))))\nLet C = (((((((((((((7 <>- -6) -: -10) ++* 10) :<> -2) [] -7) & -3) -* -4) <> nine) ~#: four) *# 8) & 3) :: five) <> one).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "b1ec26461f1e62e995ec530d870f0a0af7ee47427299ad6dc99c9275a5762b5c",
    "id": "bbeh:multistep_arithmetic:142",
    "request": "Consider the following new operations:\n\n$a ; b$ equals $(a - a) + b$ if $b < 2$ and $(b - b) + a$ otherwise.\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(2 * b) <> a$ if $a > b$ and $b$ otherwise.\n$a ~ b$ equals $(b + a) ; b$ if $|a-b| < 2$ and $(a + b) ; a$ otherwise.\n$a # b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n\nLet A = (((((((((((((((((((-1 ~ 5) <> 6) ~ -2) - eight) - -7) # -6) ! -5) ~ -8) # -2) * 7) # -8) - -1) <> five) ~ -7) * -2) - -1) - -6) ~ -6) - 8)\nLet B = ((((9 + seven) ! (-1 <> -9)) - ((3 + 5) * (-4 ~ -6))) <> (((3 ; -10) ~ (-2 <> -5)) # ((-1 + 3) ~ (-7 * -5))))\nLet C = ((((((((((((((((two # eight) ~ -2) * -8) ~ four) ; 6) ! -2) ! 9) - -7) # -5) + five) # 1) + -2) # -1) - -6) <> -10) ~ 6).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "702398533f4e15e71fb278d277afcccec62e2365cbf81d23b06a2e2efc907f1d",
    "id": "bbeh:multistep_arithmetic:148",
    "request": "Consider the following new operations:\n\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(2 - b) + a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(b * a) # b$ if $|a-b| < 2$ and $(a * b) # a$ otherwise.\n$a ~ b$ equals $(a # a) - b$ if $b < 2$ and $(b # b) - a$ otherwise.\n$a [] b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a ! b$ equals $(a ][ b)$ if $a # b > 0$; otherwise,  it equals $-a ][ -b$.\n\nLet A = ((((((((((((((-1 & six) ][ seven) ][ -5) # 1) ~ six) [] 7) ][ nine) ~ -6) - -8) ! 9) ~ five) ! nine) - -3) [] -5)\nLet B = (((((((((((((((((-4 + -2) [] -1) - six) [] eight) - 7) ][ -8) * -10) ][ ten) - 2) - -8) # -5) ][ two) # -2) - -9) ][ -6) ! 5) & ten)\nLet C = ((((two - -6) & (5 [] -10)) & ((one - 3) # (6 ~ seven))) - (((-1 & eight) - (-5 & three)) ][ ((8 ~ -2) ! (five ][ 7)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "44fcb04410ea742a77013f5c603552aacca810401d528058d6968a76c141b643",
    "id": "bbeh:multistep_arithmetic:150",
    "request": "Consider the following new operations:\n\n$a # b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(2 * b) # a$ if $a > b$ and $b$ otherwise.\n$a & b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a + b$.\n$a : b$ equals $(b + a) # b$ if $|a-b| < 2$ and $(a + b) # a$ otherwise.\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n\nLet A = (((((((((((-4 - nine) # -6) - 3) : -10) # -7) + six) # -1) * -4) <> -5) - 1) & -1)\nLet B = ((((5 & 5) & (-1 + -3)) : ((1 * -9) ! (3 & four))) <> (((-1 - -9) * (4 + -2)) # ((nine - -6) - (3 ! -9))))\nLet C = (((((((((((((((((((((((-10 + -6) - four) - -1) * -1) * -9) # 1) - 4) # -6) # -10) # three) & ten) - 3) ! -8) * -2) + 2) & two) & -5) # -9) : -5) ! -6) ! 3) # one) # -2).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "37e4e82fc8176f6f21815ce5d807bab1f157732dbbc2de5f4b287040de51f6d3",
    "id": "bbeh:multistep_arithmetic:155",
    "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a * b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a : b$ equals $(2 ~ b) - a$ if $a > b$ and $b$ otherwise.\n$a ; b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a & b$ equals $(b ; a) - b$ if $|a-b| < 2$ and $(a ; b) - a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((-1 & 1) ~+ three) :& nine) ;<> -9) ~<>: -3) +~<> -6) ~&: 9) <> five) +; -2) +&: 3) ~& -5)\nLet B = (((((((((((((((((((((((eight : -3) - five) : -8) -; -1) : 9) ;+~ 9) * 6) + nine) -+ 3) *; seven) : 1) : ten) :+<> -8) ;+ one) & -1) & -3) :; 1) :;+ 9) ;* -6) +- eight) *& four) *- three) :** 7)\nLet C = ((((ten ~** -10) &+<> (4 :<><> 3)) ;: ((3 - -10) ;&+ (three : -4))) ; (((9 - -2) <>; (-9 +*<> seven)) +~ ((-1 <><> 2) &: (three ; two)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "d41e99ab30a1c66baac2d87cb9a47a43f5883479596067c596042d4d90cc2c37",
    "id": "bbeh:multistep_arithmetic:162",
    "request": "Consider the following new operations:\n\n$a & b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $-a - -b$.\n$a @ b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a * a) @ b$ if $b < 2$ and $(b * b) @ a$ otherwise.\n$a ; b$ equals $(a >< b)$ if $a - b > 0$; otherwise,  it equals $a @ b$.\n\nLet A = ((((-6 * -3) >< (four * -1)) + ((-8 * -9) ; (-4 & 10))) & (((-7 + -1) & (-4 * -6)) @ ((-2 + five) ; (3 ; -5))))\nLet B = ((((((((((((((((((7 - 6) & 7) + -5) + -5) >< three) @ eight) + 8) >< 7) ; -5) @ -3) - -10) * -5) - 4) + -6) @ nine) ; -10) + 4) @ one)\nLet C = ((((-5 * -7) * (10 @ 2)) + ((2 >< -5) & (-9 >< two))) @ (((4 & -4) & (4 * one)) >< ((-10 - -5) - (-4 - 3)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "e2da740551d2a605f7edbbc8413be38bbc36ddb5eef2db71b4789a860a7c75d5",
    "id": "bbeh:multistep_arithmetic:166",
    "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a * b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n$a # b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a : b$ equals $(2 - b) ~ a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a <> b$ equals $(a * b)$ if $a - b > 0$; otherwise,  it equals $-a * -b$.\n$a ; b$ equals $(a - b)$ if $a - b > 0$; otherwise,  it equals $a + b$.\n\nLet A = ((((four - -5) : (six ; -3)) # ((nine # -9) ! (-9 * 2))) * (((five ~ -3) + (nine : -1)) : ((-2 - -4) ; (5 <> -1))))\nLet B = (((((((((((((((-10 - 8) * -4) + two) ; -9) <> 9) # -5) ~ seven) - -7) # 9) : -9) : 1) - 10) # seven) : -9) + 1)\nLet C = ((((-8 : one) + (6 ; -10)) : ((-4 # -6) ~ (-2 + seven))) : (((-1 * five) * (-9 ~ -9)) # ((six * -10) + (-2 - -7)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "0ae1b74c038e70e83b51dfca8f57e244cd856a3d3c5af05fc0b8094e9013da7b",
    "id": "bbeh:multistep_arithmetic:181",
    "request": "Consider the following new operations:\n\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a * b$.\n$a & b$ equals $(a ][ a) - b$ if $b < 2$ and $(b ][ b) - a$ otherwise.\n$a @ b$ equals $(a - b)$ if $a & b > 0$; otherwise,  it equals $a + b$.\n$a : b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((nine +; -3) ::: (3 ;+ eight)) *@ ((4 -: nine) -+* (3 :+ eight))) ][:+ (((9 ;;& five) @*; (-9 *+ -3)) ][*& ((-5 @:@ -3) ][ (two +* -7))))\nLet B = (((((((((((((((((six &@* -7) && 1) : eight) ;; -5) &* two) +; -1) ][ five) &@ -7) &][][ 5) - -10) & six) ;-; -3) -- 6) ;*][ eight) ; 8) * ten) -;; 6)\nLet C = ((((1 + two) && (nine ;*- -7)) : ((-9 &; -4) ; (-5 @ -1))) ][&+ (((8 ][ 9) +: (-7 ][& -9)) + ((five +* two) -; (two -** -3)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "02bf6459b011d7dc8d96d2f2da9e6215434fe7edafa5c886409618befe92f65e",
    "id": "bbeh:multistep_arithmetic:193",
    "request": "Consider the following new operations:\n\n$a : b$ equals $(b + a) - b$ if $|a-b| < 2$ and $(a + b) - a$ otherwise.\n$a <> b$ equals $(a - b)$ if $a * b > 0$; otherwise,  it equals $-a - -b$.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $(a @ b)$ if $a : b > 0$; otherwise,  it equals $a - b$.\n$a [] b$ equals $(2 - b) @ a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a <op1><op2> b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-5 : -8) @ (-3 []<> -2)) - ((10 ; seven) <><> (-3 @ -10))) @:; (((-6 ++* 10) <>@@ (3 ; -9)) [];: ((-8 <>+: eight) * (-1 * nine))))\nLet B = ((((-1 ++ 7) +<>@ (three <>;+ -1)) []-<> ((three <>: -3) @[] (-1 - -10))) <> (((2 <>* -4) :[] (four + 3)) + ((-3 :[]; eight) <>;<> (-3 <>- 1))))\nLet C = ((((-9 @<> eight) *-- (one - -2)) +;[] ((-10 :[] -8) *+ (-9 <>:; ten))) <> (((-1 +@ 3) : (6 *:: -7)) -@+ ((2 <> 7) :; (6 :[] 3)))).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "21f5b47fcd7725fd29d9f45a0775e7fd6a49b4be863648c3dcb790b56cd1fbfe",
    "id": "bbeh:multistep_arithmetic:198",
    "request": "Consider the following new operations:\n\n$a <> b$ equals $(a * b)$ if $a + b > 0$; otherwise,  it equals $-a * -b$.\n$a @ b$ equals $(a - b)$ if $a + b > 0$; otherwise,  it equals $a + b$.\n$a ~ b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n$a >< b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a # b$ equals $(a <> b)$ if $a - b > 0$; otherwise,  it equals $a ~ b$.\n\nLet A = ((((((((((((((((-9 >< 4) * seven) # -8) <> five) @ -3) ~ one) >< nine) * -10) * -7) + -6) * 6) - -7) >< -4) * -1) - -2) <> 5)\nLet B = (((((((((((((((((ten + 1) - -3) @ 8) @ -6) <> 4) <> -6) + -9) <> -10) + 8) ~ 3) + 6) # 1) - 7) <> one) + -5) * -6) <> four)\nLet C = (((((((((((((-5 ~ 5) >< -4) >< -1) >< 1) ~ -4) ~ -8) * three) ~ one) <> eight) # -7) - -8) # 4) ~ 2).\nCompute A + B - C. Your final answer must be in number form.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "multistep_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "811706d05495e63f38a6c5bf87fcb706004b67d182dafbf3f04440df7a65c39c",
    "id": "bbeh:nycc:000",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A couple is sitting at a table in a train station, looking at menus. A waiter is standing next to them, taking their order. The station is busy with people waiting for trains.\n\n  Which of the following captions is the funniest?\n(A) Let me guess, you don't like this table either?\n(B) May I recommend absolutely nothing.Get out while you still can.\n(C) I didn't think you could do worse than taking me to Subway for our anniversary. I was wrong.\n(D) Will that be to-go, Sir?\n(E) Sorry, we don't accept tokens or Metrocards.\n(F) All of our specials are track-to-table and steamed on site.\n(G) The special today can be served between the 6:24 and the 7:32.\n(H) For the Express menu, you need to go down to 14th St.\n(I) Might I recommend sitting somewhere else?\n(J) We're known for our Tube Steak.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "eb97e1f97dd83334864aaa60b685b3204062afc8fdca36188195661ed39eb58d",
    "id": "bbeh:nycc:002",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A group of people are at a social gathering, and one person is talking to a large inflatable tube man.\n\n  Which of the following captions is the funniest?\n(A) Do you have to pee or something?\n(B) I guess I don't have to ask what you do.\n(C) I can't help but feel like you're trying to sell me something.\n(D) I thought you said you have two left feet.\n(E) You aren't the only giant windbag here.\n(F) Don't you work at the used car dealership downtown?\n(G) When you've got it, flaunt it!\n(H) What do you say we blow this party?\n(I) I apologize as I have difficulty recognizing faces out of context.\n(J) So glad we can finally get together outside of the office\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "1a4852d0840adec86bf1b35d42841a4bbc8c3c4ee1625bcb76a32731804a1671",
    "id": "bbeh:nycc:003",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man is standing in a room, talking on the phone. He has a knife stuck in his back with a piece of paper attached to it.\n\n  Which of the following captions is the funniest?\n(A) It's for me but I can't read it.\n(B) Actually, I would like to shoot the messenger.\n(C) All I remember was that he looked like a monk\n(D) These manuscript rejections are killing me.\n(E) So much for \"The Art of the Deal.\"\n(F) What letter?\n(G) At this moment it's a little difficult to read the fine print.\n(H) I'm sure there's an emoticon that would have worked just as well.\n(I) I'M CALLING TO COMPLAIN ABOUT HOW YOUR PAPER IS DELIVERED!!\n(J) Hello, Roman Times? About your paper boy, Brutus...\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "e6c1502b2913a62d3475144c85be443b242acb7b5bef45e0be0c2fd804ec3295",
    "id": "bbeh:nycc:007",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A hiker is climbing up to a cave in the mountains. Inside the cave, there is a fishbowl with a fish in it.\n\n  Which of the following captions is the funniest?\n(A) Oh thank God. Food AND water!\n(B) -Finally, room service. Can I have the menu?\n(C) You forgot your mask, didn't you?\n(D) Yes, it’s obvious I am a rock cod.\n(E) The thinner air really doesn't matter to me....\n(F) All our lives spent looking but we all reach the same toilet flush in the end\n(G) You're almost right, I am a monkfish.\n(H) Savage Gill, the mountain lion killer, was real after all.\n(I) Thank God you’re here. I’d kill for some water.\n(J) No soliciting\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "c289089554fa6826102bb0fa37290f8616fb2b2d840533aee177261e1fa5c020",
    "id": "bbeh:nycc:012",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two giraffes are standing close together with their necks intertwined in a complex knot.\n\n  Which of the following captions is the funniest?\n(A) I'm so glad that we're not turtles.\n(B) We've gone round and round and still can't see eye to eye.\n(C) That’ll be the last time we watch a tennis match together.\n(D) Let's try couple's Pilates next time.\n(E) This is why I’m not a hugger, Gerald.\n(F) So students, this is what a double helix looks like.\n(G) I don't understand neck ties.\n(H) Let's take some time off to unwind\n(I) At least we didn't get our braces stuck this time.\n(J) Wait!  Who amI?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "307411142e2d1de228b680fbd546465c07763064a90ab70eeae0f6ff8a7d9425",
    "id": "bbeh:nycc:014",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: People are in an office lobby. Two individuals are standing inside a pair of cubicles that are designed to look like they are part of the wall.\n\n  Which of the following captions is the funniest?\n(A) That must be one of those \"standing desks\" that everyone has been talking about.\n(B) Ignore him. He just does it to get sympathy.\n(C) He heated up fish in the microwave. Don't do that.\n(D) It was either that for five lunch hours or a three hundred million dollar fine\n(E) Boy the penalty for early withdrawal is pretty severe at this bank\n(F) Some people would do anything to avoid lunch with the boss.\n(G) I hear there is a new HR Manager.\n(H) I thought they were putting art in the lobby, not Art in the lobby.\n(I) He's the stock boy.\n(J) Bob was nice to a customer, I hear.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "16f375cc804b399799a46a71dd24cbd5fab0b094ce2e137b823cc707b31136b3",
    "id": "bbeh:nycc:015",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Three people are standing in front of a building that looks like a giant stack of washing machines. One person appears to be explaining something to the other two.\n\n  Which of the following captions is the funniest?\n(A) And there's a dry cleaner right down the street.\n(B) Luckily, the landlord takes quarters.\n(C) Or you might be interested in our top loading building.\n(D) This listing'll knock your socks off--and one always ends up missing.\n(E) It's got great pedigree. The architect is from the same firm that designed the Flatiron Building.\n(F) It’s a beautiful apartment but, unfortunately, I can’t show it during the rinse cycle.\n(G) I'm sorry, we are looking for a side by side.\n(H) We believe this design creates a cleaner and crisper contemporary look\n(I) This one is a mid-cycle modern.\"\n(J) And, the place practically cleans itself.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "5d6c35112f3d0e78cb5d7cc7673f70c51c2cd546684603dd19cc6291a9d43a0f",
    "id": "bbeh:nycc:023",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two snakes are sitting by the side of a winding road, looking at a road sign that indicates a curvy path ahead.\n\n  Which of the following captions is the funniest?\n(A) See. Our species is advancing. We now have our own road crossing sign.\n(B) You adopted a highway?\n(C) This section of road is dedicated to my Uncle Sid. He thought he was a racer.\n(D) Body like a back road.\n(E) Caution, that's a highway to heaven.\n(F) Poor guy! I told him to be careful that you don't end  as a road sign\n(G) That’s beware of snakes crossing the road sign.\n(H) Interesting, but not an anatomically accurate depiction\n(I) Hot damn! She's got more curves than Gina Boa Brigdita!\n(J) Is that your cousin, or what?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "42c2de451763e099a667b01e69b65b7d2b16fec1bedac178896373a187244e46",
    "id": "bbeh:nycc:030",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A group of doctors and nurses are standing around a hospital bed, examining a patient who looks like a gingerbread man.\n\n  Which of the following captions is the funniest?\n(A) The taste results show that your sugar levels are too high\n(B) The surgical team feels that adding a nose would make you appear cosmetically cluttered.\n(C) Preliminary test results indicate a yeast infection.\n(D) Now that you mention it, I don't think we've tried icing it!\n(E) So it's not D-O-E, but D-O-U-G-H?\n(F) The operation was a success--you are now 100% gluten free.\n(G) My colleagues have conferred and recommend 350 degrees for another 5 minutes\n(H) I'm afraid the confection has spread.\n(I) I'm afraid he's got a systemic yeast infection.\n(J) Why don't we try icing it?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "0f3a44a90df8c6f6c73c99b07cfc77f84e07d99deebf81b0977a2461cc04ce15",
    "id": "bbeh:nycc:038",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two pilots are in the cockpit of an airplane, and they see a hitchhiker standing on a cloud outside the window, giving a thumbs-up.\n\n  Which of the following captions is the funniest?\n(A) While stoned, he mistook a weather balloon for exhaust from a semi.\n(B) Don't worry, he's on a cloud source platform.\n(C) Do you think he has a guide to the galaxy?\n(D) Don't stop! He looks seriously high.\n(E) Do you think he is TSA precheck?\n(F) If he's in mountain-top snow, we're in trouble! If not, it's even worse.\n(G) Just another voter who was promised the sky.\n(H) I know the guy. He can afford a ticket but he finds this more challenging.\n(I) They call him the Flying Coachman.\n(J) Keep going Mike, no way he can afford our carry on baggage fee.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "8e0ce82e23a3949c3d520992e48ea653ebd93266b813529560a19f575cb04112",
    "id": "bbeh:nycc:054",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A dragon and a princess are playing table tennis in a meadow. In the background, a knight on a horse is approaching with a lance.\n\n  Which of the following captions is the funniest?\n(A) Mask or no mask, I’m asking to see his vaccine card.\n(B) Funny how he never rescues you when you're winning.\n(C) I thought it was just going to be the two of us.\n(D) And I don't give a \"damsel\" who is coming to save you.\n(E) Don't tell me you posted another 'Distress' Instagram!\n(F) Oh great, here comes Sir Wheel the third\n(G) Don't be so impatient, St. George! I'm winning.\n(H) If that twit as much as breaks my concentration, I will crisp him!\n(I) Who rides on a horse with his sword hanging loose like that? I hope he’s at least wearing a mask.\n(J) Lord of the Pings\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "954440f8614c391d4f6a73cb9c458d7829d8a328c1173b2fd7b8e34b0969c7dc",
    "id": "bbeh:nycc:055",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two hikers are climbing a mountain with walking sticks, while a businessman in a suit and tie, holding a briefcase and talking on a cellphone, follows them.\n\n  Which of the following captions is the funniest?\n(A) Sorry boss, these pollsters are unlikely to predict anything.\n(B) I'm what you may call an extremely remote worker.\n(C) Because it would be false advertising if I didn't \"go the extra mile\" for them.\n(D) It's healthier than chasing ambulances\n(E) Didn't you see the sign? Beware of Personal Injury lawyers.\n(F) I guess \"trail lawyer\" wasn't a typo after all.\n(G) He insists on working remotely.\n(H) You got my email away message so you called?\n\nYeah, I’m on vacation, hiking right now actually. \n\nNo it’s fine, I can take care of it.\n(I) All they want is landslide insurance\n(J) It's beautiful up here. Untouched. Pristine. Construction starts in a week.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "6439ed01176a3db22680defac36d64e1be1f61d780f9554f2aa7c82b27b1bcfd",
    "id": "bbeh:nycc:058",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man in a business suit is being thrown off a bucking horse. The horse is in mid-air, and the man is flying through the air with a surprised expression.\n\n  Which of the following captions is the funniest?\n(A) Just tell him the buck stops here!\n(B) You won't believe the new app I got for only a buck!\n(C) Fine.  Next time I'll take Uber!\n(D) Test driving a new mustang, what are you up to?\n(E) You were right, honey! I did need to get out of my comfort zone.\n(F) Gotta go, I'll text you when I land.\n(G) Hi honey,can you call our insurance company and see if they cover stupid.\n(H) Oh, I'm absolutely hands free right now.\n(I) I'll be on the ground soon\n(J) Obviously, this is my first rodeo.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "5c61c5db9ddd5caa542014d248d5d9e3c9685253e209649f73071a8ddaa8d288",
    "id": "bbeh:nycc:067",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A therapist is sitting in a chair, listening to a broccoli character lying on a couch as if it were a patient.\n\n  Which of the following captions is the funniest?\n(A) OK, I agree that everybody hates you, but is that necessarily a bad thing?\n(B) So tell me, what has you so steamed?\n(C) Now, if we could just get to the root of your problem.\n(D) Don't take dog conduct personally.\n(E) Tell me more about why you think people hate you.\n(F) You were born a tree but identify as a woman?\n(G) I know you don't like it when people say you look like a tree. Just be thankful you're not a banana.\n(H) A lot of us are feeling uprooted these days.\n(I) I'm afraid that you're in a persistent vegetative state.\n(J) I have nightmares that I’ll be losing my hair in the fall!\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "050378d1700020edbce3e31da37b4f58aaaeeb143f2e610731cd5bb40602fde1",
    "id": "bbeh:nycc:070",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A couple is talking to a real estate agent in front of a house. The house has two large ladders leaning against it, and the house itself is tilted.\n\n  Which of the following captions is the funniest?\n(A) Getting into a house like this is all about timing.\n(B) It comes with a fantastic view of the first hole\n(C) I know, but around here, it's par for the course.\n(D) I know it's a bit more than you wanted to spend, but that's because it's so close to a golf course.\n(E) A bathroom fan? The owners didn't think that was necessary.\n(F) Really, it's a great house; only a few balls make it through each day.\n(G) OK, it's not actually off the grid, but it beats the hell out of that waterfall on 18.\n(H) It's a terrific starter hole.\n(I) To be honest, the Home Owners' Association is a little idiosyncratic.\n(J) The only thing is ... we don’t recommend that you ever come home drunk.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "aa48592fdf87a333a7b91a1d13f04004eea392de6d5a6863ea1befa5e4c1b8d1",
    "id": "bbeh:nycc:080",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A woman is sitting at her desk in an office, talking to a stick figure sitting in a chair across from her.\n\n  Which of the following captions is the funniest?\n(A) I got my start as a restroom sign model.\n(B) I'm sorry, but that job is already not filled .\n(C) We want you as a model for level 1 Cartoonists.\n(D) I’m not going to lie, your body of work is a bit thin.\n(E) So, Mr. Templar, just how did you lose your halo?\n(F) Your lack of a mind, body, and soul is exactly what this corporation is looking for\n(G) Why are you always using the word figuratively?\n(H) Simon Templar! Gosh,you haven't changed a bit.\n(I) I just feel so empty inside.\n(J) In answer to your first question, Hangman Incorporated’s death benefits are among the best in the guessing game industry.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "608b3072a87f1a0ea58a1673f200561f92a1a2a2eec632ae49fa902fe7ad56d5",
    "id": "bbeh:nycc:084",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two snowmen are in a boxing ring, wearing boxing gloves and facing each other. One snowman has knocked the head off another snowman, which is lying on the ground.\n\n  Which of the following captions is the funniest?\n(A) My head is off, but I still win on points\n(B) Just let me melt.\n(C) I see what you mean.\n(D) Round two when the kid puts me back on?\n(E) Oh my God! My butt is huge.\n(F) Duck and weave,\" Coach said. \"I'm a snowman,\" I said\n(G) Got any ice?\n(H) I thought 'knock your block off' was a figure of speech.\n(I) You were supposed to duck!\n(J) If it ever snows again, I want a rematch.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "610603d2b0c9a1273d2cebae9cf2be26236ec14211f7bd1b473009b5530d5b5d",
    "id": "bbeh:nycc:091",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man in a suit is sitting in a swimming pool with a laptop on the edge, working while swimmers are swimming around him. One swimmer is talking to him.\n\n  Which of the following captions is the funniest?\n(A) Since the pandemic, I can work from anywhere.\n(B) I’m from the typing pool.\n(C) My new job gave me a Work From Pool option.\n(D) Actually, my shoes *are* waterproof.\n(E) Summers are half-days.\n(F) Bevause I have cellulite\n(G) No, we don’t accept walk-ins.\n(H) Who says men can't multitask?\n(I) Yeah, but nowadays you can blur the background.\n(J) This is the only place my wifi works.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "c1ac6ea7b5af33f9ab5c226b65bd0fd65c14806884f8633b68ca815cb5eaa722",
    "id": "bbeh:nycc:093",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A cowboy is standing in front of a horse in a fenced area. The horse is wearing colorful shoes on all four of its hooves.\n\n  Which of the following captions is the funniest?\n(A) The next time I walk into a bar, they'll remember my name!\n(B) Now no one can tell who's who.\n(C) I suppose you’ll want the matching saddlebag now\n(D) Thanks for supporting my new identity\n(E) It’s not fair! I’m always on the bottom!\n(F) Well, I don't like it either but it's my job and carrying me while I do it is your job.\n(G) His suspicions proved true once he saw the shoes. She was a night mare.\n(H) I think it's about time you accept me for who I am as a person, Bob.\n(I) Look's like we're never going to get anywhere.\n(J) They were out of wingtips in your size.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "16e8491bf36c1b2580a242629040c87585e951f498d055f4b7bd3bf4bace9724",
    "id": "bbeh:nycc:096",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A group of people are standing together, each looking at their phones. Four of them have emoji heads: a smiley face with sunglasses, a flame, a purple devil, and a peach. The fifth person, in the middle, has a normal human head and looks confused or concerned.\n\n  Which of the following captions is the funniest?\n(A) The millennial urge to write \"lol\" is stronger guys, sorry.\n(B) So I guess this makes me the eggplant?\n(C) OMG! It's true! You are what you tweet!\n(D) Why do I always have to be the poop emoji!\n(E) Somehow, I'm not in sync with you all.\n(F) I told you I’m not getting the update until the bugs are worked out.\n(G) Um what does the human face emoji mean?\n(H) Well…ANDROIDS HAVE BETTER CAMERA QUALITY!\n(I) Has Mensa been taken over by A.I.?\n(J) But Mama said to use my words.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "78d7ef904bb2c40f1c96f77a0ac361d58c29879260ec7e81bc17b2a64bba89cb",
    "id": "bbeh:nycc:100",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A tailor is fitting an astronaut for a spacesuit in front of a mirror. The astronaut is standing still while the tailor, with a measuring tape around his neck, looks pleased with his work.\n\n  Which of the following captions is the funniest?\n(A) You’re the third Dad today looking for an outfit for this metaverse place\n(B) It says \"Yes, I'm upwardly mobile, but I also like to be playful.\"\n(C) I hope Bezos is springing for this.\n(D) Have you any other hats?\n(E) Perfect for work or you can dress it up for an evening under the stars\n(F) Or you could get vaccinated.\n(G) ...and you can go anywhere in it.\n(H) I agree, that is definitely a small step and a giant leap.\n(I) When I said my suit was too tight and needed more space, this is not what I had in mind.\n(J) And if punctured  by a meteor,\nwe have a no questions asked return policy.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "54d922871d489e21e84a7601d4163223fd8c24ae51efa191c2b892ae9255da5d",
    "id": "bbeh:nycc:102",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Three people are standing in front of the gates of heaven, looking up at a skier who is flying through the air. A bearded man, possibly St. Peter, is standing at a podium with a book, observing the scene.\n\n  Which of the following captions is the funniest?\n(A) Sorry.  You have the wrong address.  These are the gnarly gates.\n(B) Yes, there are many ways to enter heaven. However, that is not one of them.\n(C) You’d think he’d wear a helmet this time\n(D) What do you think people reading the New Yorker are going to say.\n(E) They say the skiing is to die for.\n(F) It's a nice try...but there's no snow where he's headed.\n(G) Oh, It's just a returning snow angel.\n(H) You won’t need lessons for anything, trust me!\n(I) Free all day pass in heaven!\n(J) Hey look! It’s King Slalomon!\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "0b2fc3a78e877280b9087e8f6d02edc0e3a100e7190d1280e7ec14fb2c34403c",
    "id": "bbeh:nycc:107",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A woman is putting on a giant Christmas stocking as if it were a boot, while a man stands nearby watching. The fireplace is decorated with a wreath and stockings.\n\n  Which of the following captions is the funniest?\n(A) I'm wearing a mistletoe belt in case you're wondering.\n(B) Let’s be honest—nothing I really want fits in them anyway.\n(C) I thought you said all you want for Christmas is me\n(D) What did you expect? You're a nut about the thermostat.\n(E) Take those off!  They’ll give you mistle toe.\n(F) I'm getting into the spirit of the true meaning of stockings.\n(G) Clara: Your mother said they were a fire hazard. \nSteve: She also said we should have gotten divorced ten years ago.\n(H) I wanna be your stocking stuffer!!\n(I) See? It covers my cast perfectly!\n(J) Nope nothing in this one either\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "cc994c41c4dbd0da4e852fa8212fa7a2db640fd4c180c086905f5de85fed1f68",
    "id": "bbeh:nycc:108",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A chameleon is lying on a couch in a therapist's office, blending in with the floral pattern of the couch. The therapist is sitting in a chair, taking notes.\n\n  Which of the following captions is the funniest?\n(A) So you've never felt like you fit in.\n(B) Sometimes, I just don't feel seen.\n(C) I have this need to just blend in\n(D) Maybe your are trying to fit in too hard.\n(E) If your mother were a color, what color would she be?\n(F) I know it's a cool party trick, but sometimes I just want to feel seen.\n(G) It could be worse.  I could be wearing that jacket.\n(H) Adapts well to changing environments.\n(I) I just wish she would notice me.\n(J) I don't know, doc, but I just have this overwhelming need to blend in.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "50a058f70722f14141c5af3c65771ddd834750dc0db16262be7fb667dbdc674a",
    "id": "bbeh:nycc:114",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two people are sitting on a couch in a living room, watching TV. There is a food cart with a vendor inside the living room, ready to serve them.\n\n  Which of the following captions is the funniest?\n(A) Next year , let's write a large check to Country Day, focus on the hors d'oevres, and stay far away from the silent auction.\n(B) Last time we bought one, you promised you'd stop shouting 'Hot-Dogs'.\n(C) Honey, this isn't what I had in mind when I said I wanted my own in-house chef.\n(D) We meant get a job AND move out.\n(E) It came with the Netflix deluxe premium plan.\n(F) Do you think a lemonade stand might have been a better choice?\n(G) He locally sources all his ingredients from our kitchen.\n(H) I'd like to go back to the Foreman Grill.\n(I) I just prefer ordering through the app.\n(J) Damn, I left my phone in the bedroom.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "a77b5d2dd700c8879a1199bf41659d8ca4c79363cc853842b02a09545122e57b",
    "id": "bbeh:nycc:118",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two sharks are swimming underwater. One shark has a periscope and a pair of binoculars in its mouth.\n\n  Which of the following captions is the funniest?\n(A) Do I have something in my teeth?\n(B) I know, I'm just chewing on this until I break the habit.\n(C) Dummy.\n(D) It's my new high-fiber diet.\n(E) \"Yeah, I'm a mannequin-eating shark. Gotta problem with that?\n(F) How's the vegan diet going Carl?\n(G) I call it 'A Farewell to Arms'.\n(H) Working on your form?\n(I) You dumped me to be with that dummy\n(J) I'm on a cleanse, Sharon.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "744dc4fe3b58ec9cf406ad065bdf7bca1b93b21519fe873ff7c461e3748a1525",
    "id": "bbeh:nycc:122",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two scientists are observing a rat navigating through a miniature corn maze on a table. The male scientist is holding a clipboard and taking notes while the female scientist watches. There are cages with other animals in the background.\n\n  Which of the following captions is the funniest?\n(A) To support the ban on animal cruelty, we use mechanical rats\n(B) Next, we're going to see if it can survive a night in a tiny haunted cabin.\n(C) The grant required we use sustainable materials.\n(D) It's a new type of maze and a new species of maize.\n(E) This is Donald. He is going to get lost and then declare victory.\n(F) Whatever the result, at we have mini-corn.\n(G) So who’s idea was it to use field mice?\n(H) We've gone over to recyclables for the walls.\n(I) Next is apple-bobbing and pumpkin-chucking.\n(J) We'll just make up the results\"\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "20d4c62ef7d29540ed77f81a1e0251216162ceee622f2e368bc9147b8ae126aa",
    "id": "bbeh:nycc:123",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man dressed in medieval attire is holding a crossbow and aiming at a child who has an apple on their head. The child is standing against a tree with a castle and mountain in the background.\n\n  Which of the following captions is the funniest?\n(A) Let’s try the Diet Coke and Mentos challenge instead.\n(B) Why did you tell mom that I am insured now?\n(C) Daddy, if you claim you nailed it, I won't tell.\n(D) No, seriously, add the whip cream first.\n(E) Ok, Dad. You win. I'll pay for the new lederhosen out of my allowance.\n(F) I'd suggest we use a PUMPKIN for this......\n(G) Dad, please tell me this isn't some kind of Abraham Isaac thing.\n(H) Couldn’t we go fishing instead?\n(I) What we won't do just to get an overture!\n(J) Either you need to get closer or I'm going to get a bigger apple.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "c37ae6f9e08c05d17b4a869926dd1a7b91d100327667c42284ce7ae8ec5fb577",
    "id": "bbeh:nycc:128",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man is sitting in a bathtub in an office, talking to a therapist who is sitting in a chair with a notepad.\n\n  Which of the following captions is the funniest?\n(A) I believe we are making progress. I finally sea anemone.\n(B) Now will you tell me about your dreams?\n(C) Complimentary back scrub?\n(D) This is the new normal.\n(E) Now let that sink in.\n(F) Sublimation Therapy\n(G) To be clean is . . . to be clean. That will be two-hundred dollars.\n(H) You think you're taking a bath now? Wait 'til you get my bill.\n(I) You have a dirty mind.\n(J) Do you want to be cleansed of the dirty thoughts you hold?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "504519fd751e8cdcd85f846aa2d7124ee825886620b0467a321c27386ac3a5ea",
    "id": "bbeh:nycc:133",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A bearded man holding a staff is standing in front of a stone structure with an open door. Two large fish are lying on the steps leading to the door.\n\n  Which of the following captions is the funniest?\n(A) Hey, I think we're gonna walk.\n(B) Sir Noah, do we go in the ark or under it?\"\n(C) Yeay...dry land\n(D) You interrupted our spawning season for this!?\n(E) Holy Moses it's about time!\n(F) We’re here to feed the bears.\n(G) You took us out of school for this?\n(H) You're forgetting the loaves.\n(I) Did you ever consider we may have enjoyed the flood?\n(J) Well God told me he was sending the flood as a gift, so I think we’re kind of at an impasse here.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "10c6bcbc73a11a8b9128418036506729d63431e3f7e3040381fb61778dce66c4",
    "id": "bbeh:nycc:137",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man is lying in a coffin underground, looking surprised. Next to him, a skeleton in another coffin is holding a bouquet of flowers.\n\n  Which of the following captions is the funniest?\n(A) OK, I see you lost a lot of weight. You don't have to gloat.\n(B) Not so soon pal, it's the same dream I have before my MRI!\n(C) Mandy, no. I'm still your cousin.\n(D) That’s sweet Susan, but I’m having a lot of trouble with all of this.\n(E) No, I don't have a smoke. And no, I don't want to join your neighborhood association.\n(F) Please!  I just got OUT of a relationship!\n(G) I'm not nearly as happy to see you as you are to see me.\n(H) Hey, newbie. I’m Alex. We’re going to be neighbors for eternity. Isn’t that great? Do you like yacht rock? Tuesdays are taco night. I’m a pescatarian. I see you got the lid off by yourself. I don’t know why they buried me naked. I love cribbage...\n(I) Is this Heaven or Hell???\n(J) Arguing about politics is what killed me, so please shut up!\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "0d2d749395b4da7b87ba5236faaf6a4a16d636b06da72ab458b6f7bf110f66f5",
    "id": "bbeh:nycc:146",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man and a woman are on a rooftop terrace having drinks. A giant face is peering over the edge of the building, looking at them.\n\n  Which of the following captions is the funniest?\n(A) What did you expect, with a humongous mirror and a bottle that says 'Drink me'?\n(B) He should really see an endocrinologist.\n(C) First, we need to cut the nose hairs.\n(D) Is this a trial balloon or are you seriously campaigning for president of the homeowners association.?\n(E) That reminds me.  You should think about getting a toupee.\n(F) I told you not to tell him where we going.\n(G) It’s really a small world we live in.  Don’t you agree?\n(H) Meet my Ex.\n(I) Oh honey look, it’s your inflated ego\n(J) The parade is so much more fun when the wine is spiked with a hallucinogen, don't you think?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "31ed15d3a515c1a34876edd96a5d6c998250787c778ae3dd3d18943486b74910",
    "id": "bbeh:nycc:147",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two people are sitting in an office, both wearing straitjackets. One is sitting behind a desk with a laptop, and the other is sitting in a chair in front of the desk.\n\n  Which of the following captions is the funniest?\n(A) Even by our standards you're wound a little too tight, Marcy.\n(B) You can be strait with me.\n(C) I hate these no-texting Tuesdays too.\n(D) No, YOU google Houdini.\n(E) I'm tied up all week too.\n(F) I really admire your restraint\n(G) Seriously? You really don’t think women are given the same opportunity here as men?\n(H) Of course, the one day I didn't bring my handsfree device.\n(I) Yes, the inmates are now running the asylum.\n(J) Can you recall a time you overcame adversity? Right now doesn't count.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "3461cbf3143362588be92da35fe23d04e53b63e9add9c0ad3c80a1867891c0cd",
    "id": "bbeh:nycc:148",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A person is sitting at a restaurant table, holding an enormous menu that is much larger than they are. The waiter is standing next to the table, taking the order.\n\n  Which of the following captions is the funniest?\n(A) The jumbo shrimp...excellent choice.\n(B) What wouldn't you recommend?\n(C) Hello, my name is Leo, and I'll be your speed reader this evening.\n(D) Can I tell you about a few items that aren't on the menu?\n(E) It makes the check appear not nearly so big.\n(F) That IS the large-print edition, sir. Perhaps you would prefer the Braille.\n(G) Are you ready or do you need a few more hours?\n(H) Very good sir. The forklift with the wine list will be here presently.\n(I) Just so you know, we are out of seventeen of the soups.\n(J) Are you ready to order now or would you like a few more hours to decide?\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "9161c8288f3c47eb3d9c50a2a054ad6b259acd18617ebf1343884fc2f861d290",
    "id": "bbeh:nycc:154",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A magician is performing a trick with his assistant. The assistant is holding a paper shredder, and the magician is feeding a piece of paper into it while holding a magic wand.\n\n  Which of the following captions is the funniest?\n(A) He doesn’t need me to hold this... but it’s better than getting sawed in half.\n(B) Thank you, thank you...for my next trick, I will need the help of a credit card in the audience.\n(C) Open shredame!\n(D) Now watch me make this bill for The Wall disappear!\n(E) And presto! Al Gore is no longer president-elect!\n(F) Here's a trick I learned from my lawyer.\n(G) Watch as evidence vanishes before your very eyes.\n(H) Here's a trick I learned from Banksy.\n(I) And lo!  The Constitution disappears by The Make America Great Trumpinski's command!\n(J) This is my last letter from Mom telling me I wouldn’t make it as a magician.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "2b6871c59b09a17066c88be31d632b1f1da9390ab431fd6416d632fc8f6b0169",
    "id": "bbeh:nycc:158",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man is sitting at a restaurant table with a bowl of soup in front of him. A tornado is coming out of the soup, and the waiter is standing nearby.\n\n  Which of the following captions is the funniest?\n(A) How does that sound anything like 'tomato'?\n(B) It spins the opposite way in Australia.\n(C) I'm not a scientist, but I think there's a weather event in my soup.\n(D) Do you recommend getting under the table or waiting it out?\n(E) \"This is why restaurants in trailer parks never succeed.\"\n(F) It's clever, but it will never replace the chocolate fountain.\n(G) That’s it?  The chef recommends sheltering in place?\n(H) This is a mistake. I ordered the tempest in a teapot.\n(I) Perhaps you’d prefer the funnel cake.\n\n(Please underline the word “cake”.)\n(J) You brought me the wrong drink. I ordered a hurricane.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "93bd7ccfff491eaae9d741901ff70a6fe34e893c179dc2e040f6edfefe13fbf4",
    "id": "bbeh:nycc:164",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A bull is standing behind the counter in a china shop, carefully examining a piece of china. Two customers are watching the bull with surprise.\n\n  Which of the following captions is the funniest?\n(A) Between breakage and sales he comes out about even.\n(B) No one can sell durability quite like Bill\n(C) He's addressing unconscious bias.\n(D) I guess all those ballet lessons really paid off.\n(E) It's 2021. What could possibly go wrong?\n(F) Well, he's actually a steer, so technically...\n(G) First metaphor I ever hired.\n(H) His Community service.\n(I) They always charge too much\n(J) Things have been much calmer since we took away his Twitter.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "d3a5d1c7ea1f1e14fdc97d7024420c9c899a654708581fe8afd0602426575356",
    "id": "bbeh:nycc:166",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A woman is riding a unicycle on top of a table while juggling a lit match, a bowling ball, and a chainsaw. A man is sitting at the table watching her.\n\n  Which of the following captions is the funniest?\n(A) No, I can do small talk. It’s just not my go-to.\n(B) Of course, I also love travel and long walks on the beach. How about you?\n(C) In conclusion, that's why I'm not really looking for a relationship right now\n(D) My biggest fan was my late husband.\n(E) -Now for the talent portion of a first date.\n(F) I was told it would be a floor show.\n(G) I’m going to guess this is your first date since the pandemic started...?\n(H) As a woman, you learn how to juggle a lot of things all at once.\n(I) It's no use.  We'll never get that waiter's attention.\n(J) It's so rare to meet someone who looks just like their picture!\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "94c09542e4f499f3fe2ee8a15a8a5c583be457bfd825164f53074c1fdcb46669",
    "id": "bbeh:nycc:168",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A person dressed as the Grim Reaper is standing in a doorway, holding a scythe. A woman is standing in front of them, looking unimpressed.\n\n  Which of the following captions is the funniest?\n(A) Yeah well, you don't look like your Tinder profile picture, either.\n(B) I think you're taking your job a bit too casually.\n(C) I could understand the mix up. I can't tell you how frustrating it is to have your identity stolen.\n(D) Hey, it's casual doomsday.\n(E) He's out back.\n(F) He's in the back.\n(G) He is hiding in the bathroom.\n(H) That hoodie could get you shot.\n(I) Unfortunately, the man of the house is not in.\n(J) This wasn't the sort of edgy role play I had in mind, Harold.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "ac9dfc152f07028308deda3c3faf2dadc580ca2f449040a6802e34a04eb1b863",
    "id": "bbeh:nycc:171",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A peanut character dressed in a top hat and monocle is standing in a room, facing a large elephant that takes up most of the space.\n\n  Which of the following captions is the funniest?\n(A) Consider carefully. If you have an undiagnosed peanut allergy and you eat me then it’s lights out for you too.\n(B) Either you’re an elephant or I am just plain nuts!\n(C) I'm just their mascot.\n(D) What do you mean, 'we can do this the smooth way or the crunchy way'...?!\n(E) You don't remember me?\n(F) So I guess we can address the other \"elephant in the room\"...why a peanut is wearing a  monacle.\n(G) So we meet at last, Elephant In the Room…\n(H) Can I offer you some grass?\n(I) The Rorschach test revealed Mr. Peanut's deepest fear\n(J) “I think I over did it on the micro dosing.”\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "9005c92198a0b8bb036d27aaf3b0c21a942c0a66e56d88980bd61699395a877e",
    "id": "bbeh:nycc:176",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man and a woman are standing in a room filled with bowling balls and pins. The woman is holding a rolling pin, and the man is holding two bowling balls.\n\n  Which of the following captions is the funniest?\n(A) So what if they were on sale?\n(B) Define obsession.\n(C) And still the cat got through?\n(D) You gotta love Amazon Prime.\n(E) Hmm. Why do I think our relationship is in the gutter?\n(F) Remind me again why immersion bowling seemed like a good idea for us?\n(G) I'm thinking of quitting at the bowling alley. Work from home has been awful.\n(H) What do you mean the pins don’t social distance?\n(I) Maybe joining the gym was a better idea after all\n(J) It’s time for me to split.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "4832f5adafed3443c3c7147901d56e40483dff1e81397ff347f3f30f8ba645e9",
    "id": "bbeh:nycc:177",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A man is cooking in a messy kitchen with pots boiling over and food splattered everywhere. He is talking to a robot standing next to him.\n\n  Which of the following captions is the funniest?\n(A) Jerry, you need to tone it down with the PPE.”\n(B) Could you stop saying \"Ni!\" and give me a hand here?\n(C) Sure, every time it's your turn to cook, there just happens to be a crusade.\n(D) I cook, you clean up.  I don't care if you rust \"\n(E) Do you have any Gray Poupon?\n(F) Your sarcasm about needing a ‘cast-iron stomach’ was really quite enough, Jules.\n(G) I'll knight you tomorrow, pal. Today, grab a mop.\n(H) Don’t you think your taking this whole PPE thing a little too seriously?”\n(I) So I have to where a mask and you don’t?\n(J) I guess I misunderstood when you said I was on for the night shift\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "c6b1585a67236af19c6d25fe8f9c7ade534f759e5a795dc27482269b83006ba4",
    "id": "bbeh:nycc:185",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: A woman is sitting on a couch with a glass of wine, while a man is on all fours in front of her. On the man's back, there is a dog, and on the dog's back, there is a cat. On top of the cat, there is a fishbowl with a fish inside.\n\n  Which of the following captions is the funniest?\n(A) Don’t worry they’ve got my back..\n(B) Now can we get a horse?\n(C) I don't feel like you're pulling your weight around here.\n(D) Quick fetch the canary\n(E) You don't want to know how the fish got there.\n(F) And it's called the Aristocrats!\n(G) Okay . . . so it's not the Wallendas, but it's still not something you see every day.\n(H) So, you told me to get my act together.  Now what?\n(I) Hmm, a little more to the left.\n(J) For the final part of the trick, Rover will roll over.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "60a92c39f453bd239031cc2fe023c464538392c51776a90cd049fcf160c7d842",
    "id": "bbeh:nycc:186",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: An alien is sitting on a chair next to a child's bed, reading a book to the child. The child looks surprised and a bit scared.\n\n  Which of the following captions is the funniest?\n(A) Zargle blobben blorbongorgle\n(B) Actually, you're the result of a close encounter of the first kind.\n(C) And the humans were never heard from again.\n(D) And they were abducted happily ever after.\n(E) I think we both know how this one ends, don't we, Melania?\n(F) Do you want the alien ending or the sappy earthling ending?\n(G) Well, you won't find good babysitters just around the corner!\n(H) once upon a time there lived humans\n(I) Goodnight Moon” is fine, but “War of the Worlds” is better\n(J) Again, no I'm not looking under the bed.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "9bfb307914dcf52f4cb9bdfccadcd8f11f5b492491e9701f4259c969bbb072dd",
    "id": "bbeh:nycc:187",
    "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n  Description: Two fish are underwater, one is swimming freely while the other is mounted on a wooden plaque as if it were a trophy. The mounted fish looks unhappy.\n\n  Which of the following captions is the funniest?\n(A) Oh, they give you a plaque all right, but there’s a catch.\n(B) Everyone is looking at my weight all the time.\n(C) It was your Mother's idea.\n(D) Apparently I didn't \"spark joy\"\n(E) You  say you were looking for a trophy wife!\n(F) The battery insertion was the hardest part”\n(G) What do you mean I’m no prize?\n(H) So I have a platform! Whaddaya have?\n(I) What? You said to get more exercise. I'm planking.\n(J) Yes, Carl, I deeply regret my stance on participation trophies\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "nycc"
  },
  {
    "dataset": "bbeh",
    "family": "b8ff24b7d6735bb3c21789dea23dedf758262e002fd300db308bc5c182eb0765",
    "id": "bbeh:object_counting:004",
    "request": "My friend has 4 huawei nova 12i mobiles. My uncle has 34 cantaloupes. I have 49 huawei pura 70 pro+ mobiles (it is a funny story how I have 49 of them: initially I had 73, then I also got another 93 making it a total of 166, then I got another 90 making it a total of 256, but then I lost 207 of them so eventually I am left with 49 of them now). I also have 29 persimmons (it is a funny story how I have 29 of them: initially I had 91, then I also got another 29 making it a total of 120, then I got another 85 making it a total of 205, but then I lost 176 of them so eventually I am left with 29 of them now). I also have 9 tecno mobiles (hope to have more in the future). My sister has 34 iphone 12 mobiles. My grandmother has 19 iphone 7 mobiles. I also have 43 grapefruits (I really like them). I also have 31 audi a6 cars (they are great). I also have 67 honeycrisp apples (I really like them). My mother has 75 volkswagen golf cars. My cousin has 92 meizu mobiles. I also have 39 mazda cx-70 cars (here is why I have these many: initially I had 41 of them, then I lost 20 of them, but then I got another 57 of them, but then I lost 39 of them, so at the end I am left with 39 of them). I also have 4 syrah grapes (it is a funny story how I have 4 of them: initially I had 90, then I also got another 46 making it a total of 136, then I got another 75 making it a total of 211, but then I lost 207 of them so eventually I am left with 4 of them now). My cousin also has 79 dodge challenger cars. I also have 1 honeydew (here is why I have these many: initially I had 36 of them, then I lost 26 of them, but then I got another 87 of them, but then I lost 96 of them, so at the end I am left with 1 of them). My father has 23 nissan titan cars. My brother has 91 honda odyssey cars. I also have 56 xiaomi mobiles (it is a funny story how I have 56 of them: initially I had 52, then I also got another 62 making it a total of 114, then I got another 26 making it a total of 140, but then I lost 84 of them so eventually I am left with 56 of them now). I also have 32 iphone 15 mobiles (here is why I have these many: initially I had 67 of them, then I lost 32 of them, but then I got another 97 of them, but then I lost 100 of them, so at the end I am left with 32 of them). My friend also has 56 mazda cx-3 cars. My mother also has 72 quinces. My father also has 50 iphone 6 mobiles. I also have 93 buick enclave cars (happt to have them). I also have 39 lg mobiles (received them yesterday). I also have 1 papaya (here is why I have these many: initially I had 36 of them, then I lost 31 of them, but then I got another 67 of them, but then I lost 71 of them, so at the end I am left with 1 of them). I also have 14 mazda cx-5 cars (thrilled to have these). My uncle also has 15 nissan rogue cars. My sister also has 70 dragonfruits. My grandmother also has 15 jonagold apples. I also have 74 kia niro cars (they were given to me as a gift). My grandfather has 11 nectarines. I also have 93 guavas (I do not think I need this much). My sister also has 24 samsung galaxy a35 mobiles. I also have 78 sony mobiles (received them yesterday). My uncle also has 96 samsung galaxy c55 mobiles. My aunt has 29 soursops. My uncle also has 80 toyota tundra cars. My grandmother also has 3 iphone 13 mobiles. I also have 24 zte mobiles (received them yesterday). My grandmother also has 5 nokia mobiles. I also have 2 subaru impreza cars (one day, I will have more of them). My cousin also has 12 fuji apples. I also have 36 honda accord cars (maybe I just need some of them). My grandfather also has 26 oppo mobiles. I also have 5 toyota avalon cars (planning to have more in the future). My father also has 83 nissan maxima cars. My grandfather also has 52 honda element cars. My grandfather also has 87 iphone 5 mobiles. My friend also has 51 iphone 4 mobiles. My aunt also has 39 huawei pura 70 pro mobiles. I also have 99 samsung galaxy tab s10 mobiles (hope to have more in the future). My aunt also has 9 honda cr-v cars. My mother also has 4 pinot noir grapes. My brother also has 64 lemons. I also have 5 mangoes (it is a funny story how I have 5 of them: initially I had 93, then I also got another 76 making it a total of 169, then I got another 96 making it a total of 265, but then I lost 260 of them so eventually I am left with 5 of them now). I also have 56 nissan armada cars (happt to have them). My brother also has 21 kiwis. I also have 94 toyota rav4 cars (here is why I have these many: initially I had 61 of them, then I lost 14 of them, but then I got another 85 of them, but then I lost 38 of them, so at the end I am left with 94 of them). My sister also has 98 honda hr-v cars. I also have 38 samsung galaxy a15 mobiles (here is why I have these many: initially I had 81 of them, then I lost 36 of them, but then I got another 58 of them, but then I lost 65 of them, so at the end I am left with 38 of them). I also have 6 clementinefigs (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 14 of them, but then I lost 9 of them, so at the end I am left with 6 of them). I also have 18 merlot grapes (it is a funny story how I have 18 of them: initially I had 23, then I also got another 19 making it a total of 42, then I got another 100 making it a total of 142, but then I lost 124 of them so eventually I am left with 18 of them now). I also have 56 pomegranates (hope to have more in the future). My mother also has 22 huawei pura 70 mobiles. My brother also has 55 toyota prius cars. My cousin also has 5 iphone 8 mobiles. My cousin also has 49 motorola mobiles. My grandfather also has 90 honda civic cars. My mother also has 73 mazda cx-90 cars. My aunt also has 47 huawei mate 70 mobiles. My mother also has 88 toyota camry cars. My mother also has 63 watermelons. I also have 96 google (pixel) mobiles (it is a funny story how I have 96 of them: initially I had 74, then I also got another 73 making it a total of 147, then I got another 28 making it a total of 175, but then I lost 79 of them so eventually I am left with 96 of them now). I also have 42 vivo mobiles (feeling great about this). My uncle also has 52 hyundai elantra cars. I also have 82 subaru ascent cars (planning to have more in the future). My sister also has 21 huawei nova 11 se mobiles. My sister also has 43 honor mobiles. I also have 91 starfruits (I do not think I need this much). I also have 76 iphone 11 mobiles (I like these a lot). I also have 78 apricots (received them last month). My father also has 5 iphone 14 mobiles. My friend also has 70 mazda3 cars. My mother also has 3 cotton candy grapes. My grandfather also has 30 subaru outback cars. My grandfather also has 64 samsung galaxy a55 mobiles. My father also has 95 ford edge cars. My grandfather also has 33 chardonnay grapes. I also have 33 samsung galaxy s24 mobiles (I do not think I need this much). My uncle also has 54 spartan apples. I also have 69 blackberry mobiles (hope to have more in the future). My sister also has 24 mazda cx-30 cars. My mother also has 78 peaches. My mother also has 57 tesla model s cars. I also have 66 strawberrys (it is a funny story how I have 66 of them: initially I had 49, then I also got another 26 making it a total of 75, then I got another 74 making it a total of 149, but then I lost 83 of them so eventually I am left with 66 of them now). I also have 25 dates (I am in love with them). My mother also has 81 grenache grapes. My sister also has 60 honda prologuq cars. My brother also has 13 mazda cx-80 cars. My aunt also has 40 honda passport cars. My brother also has 52 nissan kicks cars. My grandfather also has 35 mazda6 cars. I also have 49 huawei nova 12s mobiles (here is why I have these many: initially I had 91 of them, then I lost 34 of them, but then I got another 44 of them, but then I lost 52 of them, so at the end I am left with 49 of them).  What is the sum of the total number of fruits and mobiles that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "ed04eaf58f10754e0b16182b18a534f1c94840310c751ed6f294030e731eee98",
    "id": "bbeh:object_counting:007",
    "request": "My brother has 67 mazda cx-5 cars. My brother also has 85 volkswagen golf cars. My brother also has 91 toyota rav4 cars. My mother has 93 mazda cx-80 cars. My cousin has 24 samsung galaxy a55 mobiles. I have 55 sheep (hope to have more in the future). I also have 77 tesla model s cars (it is a funny story how I have 77 of them: initially I had 38, then I also got another 66 making it a total of 104, then I got another 90 making it a total of 194, but then I lost 117 of them so eventually I am left with 77 of them now). I also have 70 toads (happt to have them). I also have 34 jeep gladiator cars (happt to have them). I also have 5 nokia mobiles (thrilled to have these). I also have 1 iphone 5 mobiles (I really like them). I also have 87 nissan altima cars (feeling good about this). My brother also has 46 iphone 8 mobiles. I also have 86 samsung galaxy m55s mobiles (received them last month). My father has 25 meizu mobiles. I also have 73 mazda cx-30 cars (feeling great about this). My grandmother has 21 narwhals. My grandfather has 11 iguanas. My mother also has 81 iphone 4 mobiles. My uncle has 91 mazda2 cars. I also have 73 subaru ascent cars (they were given to me as a gift). I also have 89 nissan armada cars (here is why I have these many: initially I had 39 of them, then I lost 15 of them, but then I got another 94 of them, but then I lost 29 of them, so at the end I am left with 89 of them). I also have 40 iphone 14 mobiles (I really like them). My grandmother also has 26 monkeys. My mother also has 67 nissan kicks cars. My grandfather also has 68 mosquitoes. I also have 90 mazda3 cars (it is a funny story how I have 90 of them: initially I had 82, then I also got another 88 making it a total of 170, then I got another 53 making it a total of 223, but then I lost 133 of them so eventually I am left with 90 of them now). My grandfather also has 25 iphone 11 mobiles. My cousin also has 33 chimpanzees. My friend has 56 iphone x mobiles. My grandmother also has 9 foxes. My friend also has 47 honda civic cars. My grandfather also has 27 turtles. My grandmother also has 57 google (pixel) mobiles. My father also has 33 iphone 7 mobiles. My brother also has 86 honda prologuq cars. My cousin also has 87 honda cr-z cars. I also have 62 huawei pura 70 pro+ mobiles (planning to have more in the future). I also have 56 samsung galaxy z fold5 mobiles (it is a funny story how I have 56 of them: initially I had 41, then I also got another 64 making it a total of 105, then I got another 93 making it a total of 198, but then I lost 142 of them so eventually I am left with 56 of them now). I also have 77 realme mobiles (I really like them). I also have 78 doves (they are great). My father also has 21 huawei nova 12 pro mobiles. My sister has 70 quails. I also have 43 huawei nova 12s mobiles (I like these a lot). My uncle also has 52 ladybugs. I also have 72 huawei mate x6 mobiles (received them yesterday). My cousin also has 84 nissan ariya cars. My cousin also has 80 honda accord cars. I also have 68 honda cr-v cars (I am in love with them). My cousin also has 54 magpies. I also have 20 zte mobiles (it is a funny story how I have 20 of them: initially I had 33, then I also got another 16 making it a total of 49, then I got another 62 making it a total of 111, but then I lost 91 of them so eventually I am left with 20 of them now). I also have 73 mazda cx-50 cars (here is why I have these many: initially I had 41 of them, then I lost 12 of them, but then I got another 51 of them, but then I lost 7 of them, so at the end I am left with 73 of them). I also have 37 ducks (they were given to me as a gift). I also have 34 huawei nova 13 mobiles (it is a funny story how I have 34 of them: initially I had 27, then I also got another 79 making it a total of 106, then I got another 25 making it a total of 131, but then I lost 97 of them so eventually I am left with 34 of them now). My sister also has 35 samsung galaxy a35 mobiles. My aunt has 38 falcons. My father also has 18 oppo mobiles. I also have 55 mamba snakes (it is a funny story how I have 55 of them: initially I had 32, then I also got another 91 making it a total of 123, then I got another 89 making it a total of 212, but then I lost 157 of them so eventually I am left with 55 of them now). My sister also has 98 toyota c-hr cars. My friend also has 28 toyota highlander cars. I also have 65 tigers (thrilled to have these). I also have 41 huawei pura 70 pro mobiles (it is a funny story how I have 41 of them: initially I had 64, then I also got another 92 making it a total of 156, then I got another 23 making it a total of 179, but then I lost 138 of them so eventually I am left with 41 of them now). I also have 55 blackberry mobiles (received them last week). My father also has 89 samsung galaxy a15 mobiles. I also have 27 cockroaches (received them last month). My cousin also has 14 toyota avalon cars. I also have 22 oneplus mobiles (happt to have them). My grandmother also has 55 samsung galaxy s24 mobiles. My aunt also has 18 dodge challenger cars. My mother also has 4 iphone 15 mobiles. My aunt also has 92 ravens. My cousin also has 13 toyota 4runnertoyota sequoia cars. My father also has 59 newts. My friend also has 27 rattlesnakes. I also have 48 hummingbirds (it is a funny story how I have 48 of them: initially I had 53, then I also got another 89 making it a total of 142, then I got another 17 making it a total of 159, but then I lost 111 of them so eventually I am left with 48 of them now). I also have 53 lg mobiles (it is a funny story how I have 53 of them: initially I had 94, then I also got another 68 making it a total of 162, then I got another 70 making it a total of 232, but then I lost 179 of them so eventually I am left with 53 of them now). I also have 83 honda passport cars (I am in love with them). My grandfather also has 8 jellyfish. My uncle also has 74 trout. My cousin also has 1 toyota sienna cars. My friend also has 28 storks. My sister also has 23 bisons. My grandfather also has 61 cats. My grandmother also has 97 samsung galaxy tab s10 mobiles. My mother also has 84 nissan rogue cars. I also have 84 toyota prius cars (one day, I will have more of them). My friend also has 49 alpacas. My aunt also has 26 buick enclave cars. My mother also has 38 cobras. I also have 50 flamingoes (here is why I have these many: initially I had 61 of them, then I lost 29 of them, but then I got another 96 of them, but then I lost 78 of them, so at the end I am left with 50 of them). My uncle also has 63 huawei pura 70 ultra mobiles. I also have 52 iphone 12 mobiles (here is why I have these many: initially I had 96 of them, then I lost 43 of them, but then I got another 10 of them, but then I lost 11 of them, so at the end I am left with 52 of them). I also have 47 sloths (received them last month). My grandfather also has 32 mazda cx-3 cars. I also have 82 pigeons (I am in love with them). My grandfather also has 90 corgis. I also have 64 lizards (I am in love with them). I also have 35 huawei pura 70 mobiles (it is a funny story how I have 35 of them: initially I had 90, then I also got another 97 making it a total of 187, then I got another 53 making it a total of 240, but then I lost 205 of them so eventually I am left with 35 of them now). My uncle also has 52 otters. My mother also has 62 samsung galaxy f05 mobiles. My grandfather also has 98 goats. My grandmother also has 44 htc mobiles. I also have 7 iphone 16 mobiles (hope to have more in the future). I also have 69 mazda6 cars (here is why I have these many: initially I had 54 of them, then I lost 24 of them, but then I got another 54 of them, but then I lost 15 of them, so at the end I am left with 69 of them). My sister also has 83 ford edge cars. My grandmother also has 3 seahorses. My cousin also has 8 kia niro cars. My father also has 78 mazda cx-70 cars. My cousin also has 65 hyundai santa fe cars. My mother also has 88 cod. I also have 38 nissan leaf cars (it is a funny story how I have 38 of them: initially I had 72, then I also got another 41 making it a total of 113, then I got another 41 making it a total of 154, but then I lost 116 of them so eventually I am left with 38 of them now). I also have 50 penguins (thrilled to have these). My brother also has 39 iphone 6 mobiles. I also have 7 ferrets (here is why I have these many: initially I had 50 of them, then I lost 45 of them, but then I got another 38 of them, but then I lost 36 of them, so at the end I am left with 7 of them). My friend also has 19 aardvarks. I also have 69 huawei nova 11 se mobiles (I am in love with them). My father also has 89 huawei nova 12i mobiles. My grandmother also has 91 parrots. My sister also has 70 emus. My brother also has 71 samsung galaxy a16 mobiles. My father also has 54 shrimps. My friend also has 23 samsung galaxy c55 mobiles. I also have 47 motorola mobiles (it is a funny story how I have 47 of them: initially I had 53, then I also got another 54 making it a total of 107, then I got another 68 making it a total of 175, but then I lost 128 of them so eventually I am left with 47 of them now).  What is the absolute difference of the total number of animals/insects and mobiles that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "4e4656fbd3ae1046b94f82385adb1cdf2ff28fe8ff3d76c6835d416dc3b1d87d",
    "id": "bbeh:object_counting:011",
    "request": "My brother has 97 audi a6 cars. My sister has 38 peaches. My father has 24 subaru impreza cars. My cousin has 5 plums. I have 29 honda pilot cars (it is a funny story how I have 29 of them: initially I had 17, then I also got another 22 making it a total of 39, then I got another 51 making it a total of 90, but then I lost 61 of them so eventually I am left with 29 of them now). My grandmother has 81 pinot noir grapes. I also have 81 grapefruits (I am in love with them). My sister also has 18 rats. I also have 79 coconuts (hope to have more in the future). My sister also has 75 toyota highlander cars. My cousin also has 29 corgis. My grandfather has 12 mazda cx-90 cars. I also have 87 pineapples (it is a funny story how I have 87 of them: initially I had 10, then I also got another 73 making it a total of 83, then I got another 91 making it a total of 174, but then I lost 87 of them so eventually I am left with 87 of them now). My sister also has 20 mazda cx-50 cars. I also have 18 trout (I like these a lot). My sister also has 72 nissan altima cars. My sister also has 20 toyota avalon cars. My cousin also has 82 nissan kicks cars. My grandfather also has 92 seals. My mother has 57 honda cr-z cars. I also have 26 honeycrisp apples (received them yesterday). My grandfather also has 16 plantains. My grandfather also has 79 toyota sienna cars. My cousin also has 53 soursops. My brother also has 54 nissan maxima cars. My grandmother also has 2 raspberrys. My grandmother also has 50 muscat grapes. My father also has 62 apricots. I also have 47 nissan pathfinder cars (feeling good about this). I also have 36 clementinefigs (they are great). My cousin also has 27 llamas. I also have 64 foxes (here is why I have these many: initially I had 16 of them, then I lost 12 of them, but then I got another 99 of them, but then I lost 39 of them, so at the end I am left with 64 of them). My friend has 88 octopus. I also have 31 nissan rogue cars (here is why I have these many: initially I had 29 of them, then I lost 28 of them, but then I got another 97 of them, but then I lost 67 of them, so at the end I am left with 31 of them). My father also has 71 bananas. I also have 87 toyota corolla cars (here is why I have these many: initially I had 86 of them, then I lost 56 of them, but then I got another 77 of them, but then I lost 20 of them, so at the end I am left with 87 of them). I also have 64 mamba snakes (it is a funny story how I have 64 of them: initially I had 55, then I also got another 58 making it a total of 113, then I got another 63 making it a total of 176, but then I lost 112 of them so eventually I am left with 64 of them now). My uncle has 48 gala apples. My aunt has 38 jackfruits. My sister also has 1 wasp. I also have 16 blueberrys (here is why I have these many: initially I had 72 of them, then I lost 56 of them, but then I got another 81 of them, but then I lost 81 of them, so at the end I am left with 16 of them). My mother also has 14 roosters. My uncle also has 36 honda cr-v cars. My friend also has 19 nissan ariya cars. My father also has 85 dates. My father also has 82 watermelons. I also have 8 mazda cx-3 cars (thrilled to have these). My grandmother also has 3 alpacas. My cousin also has 87 sloths. My grandmother also has 20 honda prologuq cars. I also have 6 mazda6 cars (I really like them). I also have 47 penguins (I am in love with them). My uncle also has 96 emus. My father also has 63 nissan leaf cars. My cousin also has 83 toyota 4runnertoyota sequoia cars. My sister also has 6 riesling grapes. I also have 10 honda civic cars (it is a funny story how I have 10 of them: initially I had 17, then I also got another 38 making it a total of 55, then I got another 66 making it a total of 121, but then I lost 111 of them so eventually I am left with 10 of them now). My brother also has 31 ford edge cars. My friend also has 87 armadillos. I also have 73 autumn royal grapes (received them last month). I also have 85 chardonnay grapes (here is why I have these many: initially I had 88 of them, then I lost 43 of them, but then I got another 69 of them, but then I lost 29 of them, so at the end I am left with 85 of them). I also have 51 nissan frintier cars (I really like them). My sister also has 58 echidnas. I also have 87 breadfruits (maybe I just need some of them). I also have 66 guavas (it is a funny story how I have 66 of them: initially I had 62, then I also got another 58 making it a total of 120, then I got another 77 making it a total of 197, but then I lost 131 of them so eventually I am left with 66 of them now). I also have 80 starfruits (hope to have more in the future). My cousin also has 70 nissan sentra cars. My sister also has 54 beavers. I also have 92 jellyfish (here is why I have these many: initially I had 97 of them, then I lost 11 of them, but then I got another 13 of them, but then I lost 7 of them, so at the end I am left with 92 of them). I also have 10 nebbiolo grapes (very happy to have them). My grandmother also has 54 narwhals. My aunt also has 55 prairie dogs. I also have 62 mazda cx-30 cars (thrilled to have these). I also have 92 crows (one day, I will have more of them). I also have 76 kiwis (here is why I have these many: initially I had 66 of them, then I lost 42 of them, but then I got another 72 of them, but then I lost 20 of them, so at the end I am left with 76 of them). My sister also has 95 orangutans. My sister also has 25 crocodiles. My grandmother also has 87 salamanders. My sister also has 84 flys. My grandfather also has 29 hyenas. My sister also has 77 elderberryoranges. I also have 14 quinces (here is why I have these many: initially I had 40 of them, then I lost 31 of them, but then I got another 72 of them, but then I lost 67 of them, so at the end I am left with 14 of them). My sister also has 16 cotton candy grapes. My brother also has 16 nissan murano cars. I also have 50 pomegranates (I really like them). I also have 40 baboons (it is a funny story how I have 40 of them: initially I had 31, then I also got another 59 making it a total of 90, then I got another 74 making it a total of 164, but then I lost 124 of them so eventually I am left with 40 of them now). I also have 35 mules (received them last week). I also have 34 toyota prius cars (here is why I have these many: initially I had 97 of them, then I lost 54 of them, but then I got another 21 of them, but then I lost 30 of them, so at the end I am left with 34 of them). My sister also has 62 buick enclave cars. I also have 73 anteaters (they were given to me as a gift). My father also has 69 ginger gold apples. I also have 70 cranberrys (it is a funny story how I have 70 of them: initially I had 76, then I also got another 24 making it a total of 100, then I got another 67 making it a total of 167, but then I lost 97 of them so eventually I am left with 70 of them now). My mother also has 94 toyota tacoma cars. My grandfather also has 90 mosquitoes. I also have 6 jonagold apples (one day, I will have more of them). I also have 95 toyota rav4 cars (here is why I have these many: initially I had 12 of them, then I lost 11 of them, but then I got another 98 of them, but then I lost 4 of them, so at the end I am left with 95 of them). My uncle also has 89 manatees. My aunt also has 42 cranes. I also have 98 squirrels (it is a funny story how I have 98 of them: initially I had 34, then I also got another 61 making it a total of 95, then I got another 62 making it a total of 157, but then I lost 59 of them so eventually I am left with 98 of them now). My father also has 10 honda insight cars. My sister also has 37 monkeys.  What is the absolute difference of the total number of fruits and animals/insects that I have?",
    "response_contract": {
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    "role": "final",
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  {
    "dataset": "bbeh",
    "family": "72845b0370363d9bb007350547b4a70de98f7c63d109219e96beb5c94123a13a",
    "id": "bbeh:object_counting:015",
    "request": "I have 91 nectarines (here is why I have these many: initially I had 21 of them, then I lost 13 of them, but then I got another 92 of them, but then I lost 9 of them, so at the end I am left with 91 of them). My father has 52 biwas. My aunt has 55 leopards. My brother has 8 nadaswarams. My sister has 97 shrews. My sister also has 97 turkeys. My brother also has 71 crocodiles. I also have 86 clementinefigs (maybe I just need some of them). My friend has 3 impalas. I also have 73 mamba snakes (very happy to have them). I also have 49 cranberrys (hope to have more in the future). I also have 96 spartan apples (I am in love with them). My uncle has 74 maracas. I also have 56 cantaloupes (here is why I have these many: initially I had 15 of them, then I lost 10 of them, but then I got another 64 of them, but then I lost 13 of them, so at the end I am left with 56 of them). My sister also has 65 erhus. I also have 30 persimmons (it is a funny story how I have 30 of them: initially I had 49, then I also got another 24 making it a total of 73, then I got another 97 making it a total of 170, but then I lost 140 of them so eventually I am left with 30 of them now). My grandmother has 39 cellos. My sister also has 86 beavers. My uncle also has 10 vibraphone, steelpans. My mother has 56 bouzoukis. My friend also has 52 falcons. My aunt also has 34 salamanders. My grandmother also has 43 dates. My grandmother also has 24 mbiras. I also have 24 mules (it is a funny story how I have 24 of them: initially I had 63, then I also got another 12 making it a total of 75, then I got another 92 making it a total of 167, but then I lost 143 of them so eventually I am left with 24 of them now). I also have 21 kiwis (one day, I will have more of them). I also have 51 mandolins (I am in love with them). I also have 69 electric guitars (here is why I have these many: initially I had 31 of them, then I lost 20 of them, but then I got another 66 of them, but then I lost 8 of them, so at the end I am left with 69 of them). My aunt also has 13 starfruits. My friend also has 52 envy apples. I also have 90 raspberrys (it is a funny story how I have 90 of them: initially I had 64, then I also got another 58 making it a total of 122, then I got another 33 making it a total of 155, but then I lost 65 of them so eventually I am left with 90 of them now). My mother also has 75 alpacas. My father also has 50 canarys. I also have 25 lychees (received them last month). I also have 56 violins (here is why I have these many: initially I had 31 of them, then I lost 19 of them, but then I got another 58 of them, but then I lost 14 of them, so at the end I am left with 56 of them). My grandfather has 40 ginger gold apples. My mother also has 82 honeydews. My aunt also has 9 watermelons. I also have 66 dolphins (here is why I have these many: initially I had 62 of them, then I lost 58 of them, but then I got another 86 of them, but then I lost 24 of them, so at the end I am left with 66 of them). I also have 49 bass guitars (planning to have more in the future). I also have 33 ferrets (here is why I have these many: initially I had 33 of them, then I lost 24 of them, but then I got another 78 of them, but then I lost 54 of them, so at the end I am left with 33 of them). My friend also has 57 bansuris. My grandfather also has 38 apes. My sister also has 98 elderberryoranges. My grandmother also has 8 eagles. My aunt also has 76 harps. My mother also has 67 cotton candy grapes. My aunt also has 87 pineapples. My cousin has 32 hens. I also have 98 penguins (received them last month). My aunt also has 34 boa snakes. My cousin also has 4 flutes. I also have 60 tigers (here is why I have these many: initially I had 71 of them, then I lost 16 of them, but then I got another 12 of them, but then I lost 7 of them, so at the end I am left with 60 of them). My brother also has 23 coconuts. My cousin also has 81 goldfish. My friend also has 99 grapefruits. My grandfather also has 73 dulcimers. I also have 62 honeycrisp apples (here is why I have these many: initially I had 85 of them, then I lost 45 of them, but then I got another 33 of them, but then I lost 11 of them, so at the end I am left with 62 of them). My grandmother also has 5 trout. I also have 75 plums (here is why I have these many: initially I had 53 of them, then I lost 26 of them, but then I got another 61 of them, but then I lost 13 of them, so at the end I am left with 75 of them). My grandfather also has 8 ants. My friend also has 94 antelopes. My mother also has 82 xylophones. My aunt also has 52 papayas. I also have 2 tamburas (maybe I just need some of them). I also have 46 gorillas (here is why I have these many: initially I had 45 of them, then I lost 22 of them, but then I got another 30 of them, but then I lost 7 of them, so at the end I am left with 46 of them). I also have 54 sheep (I am in love with them). My mother also has 68 zebras. I also have 37 ladybugs (here is why I have these many: initially I had 88 of them, then I lost 75 of them, but then I got another 97 of them, but then I lost 73 of them, so at the end I am left with 37 of them). My father also has 15 peacocks. My uncle also has 99 hippopotamus. I also have 58 magpies (feeling good about this). My brother also has 37 electric pianos. My grandfather also has 31 bongos. My sister also has 45 cattles. I also have 83 horses (feeling good about this). I also have 81 cheetahs (here is why I have these many: initially I had 71 of them, then I lost 53 of them, but then I got another 100 of them, but then I lost 37 of them, so at the end I am left with 81 of them). I also have 72 cherrys (one day, I will have more of them). My aunt also has 53 electric bass. I also have 59 doves (it is a funny story how I have 59 of them: initially I had 63, then I also got another 13 making it a total of 76, then I got another 15 making it a total of 91, but then I lost 32 of them so eventually I am left with 59 of them now). My mother also has 85 gala apples. My mother also has 87 chardonnay grapes. My father also has 20 nebbiolo grapes. I also have 68 guinea pigs (here is why I have these many: initially I had 71 of them, then I lost 62 of them, but then I got another 92 of them, but then I lost 33 of them, so at the end I am left with 68 of them). I also have 21 geese (it is a funny story how I have 21 of them: initially I had 57, then I also got another 57 making it a total of 114, then I got another 49 making it a total of 163, but then I lost 142 of them so eventually I am left with 21 of them now). My father also has 5 anteaters. I also have 52 bananas (maybe I just need some of them). My mother also has 22 banjoes. I also have 95 stingrays (it is a funny story how I have 95 of them: initially I had 80, then I also got another 84 making it a total of 164, then I got another 76 making it a total of 240, but then I lost 145 of them so eventually I am left with 95 of them now). My uncle also has 99 durians. I also have 88 chameleons (I like these a lot). My sister also has 53 groundhogs. My brother also has 17 quails. I also have 9 pears (it is a funny story how I have 9 of them: initially I had 20, then I also got another 81 making it a total of 101, then I got another 33 making it a total of 134, but then I lost 125 of them so eventually I am left with 9 of them now). I also have 61 vultures (here is why I have these many: initially I had 88 of them, then I lost 56 of them, but then I got another 42 of them, but then I lost 13 of them, so at the end I am left with 61 of them). My brother also has 65 setars. My uncle also has 40 jonagold apples. My grandmother also has 64 blueberrys. My uncle also has 72 strawberrys. My uncle also has 24 guavas. I also have 5 chickens (here is why I have these many: initially I had 75 of them, then I lost 17 of them, but then I got another 11 of them, but then I lost 64 of them, so at the end I am left with 5 of them). I also have 70 autumn royal grapes (it is a funny story how I have 70 of them: initially I had 55, then I also got another 94 making it a total of 149, then I got another 31 making it a total of 180, but then I lost 110 of them so eventually I am left with 70 of them now). My mother also has 16 accordions. My father also has 71 harmonicas. I also have 61 garter snakes (planning to have more in the future). My brother also has 98 tablas. My brother also has 23 pomegranates. I also have 20 merlot grapes (happt to have them). I also have 10 cobras (one day, I will have more of them). I also have 85 riesling grapes (here is why I have these many: initially I had 75 of them, then I lost 53 of them, but then I got another 96 of them, but then I lost 33 of them, so at the end I am left with 85 of them). I also have 48 shehnais (it is a funny story how I have 48 of them: initially I had 36, then I also got another 52 making it a total of 88, then I got another 50 making it a total of 138, but then I lost 90 of them so eventually I am left with 48 of them now). I also have 21 flys (here is why I have these many: initially I had 38 of them, then I lost 10 of them, but then I got another 11 of them, but then I lost 18 of them, so at the end I am left with 21 of them). My cousin also has 75 pinot noir grapes. I also have 21 drums (it is a funny story how I have 21 of them: initially I had 100, then I also got another 25 making it a total of 125, then I got another 88 making it a total of 213, but then I lost 192 of them so eventually I am left with 21 of them now). I also have 51 goats (received them last week). I also have 34 guitars (here is why I have these many: initially I had 90 of them, then I lost 68 of them, but then I got another 54 of them, but then I lost 42 of them, so at the end I am left with 34 of them). My grandfather also has 38 synthesizer keyboards. My mother also has 40 harpsichords.  What is the sum of the total number of animals/insects and musical instruments that I have?",
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  {
    "dataset": "bbeh",
    "family": "bc3643d88ddfe002477e79653818ee308a1ba8ab9117ec13b04400df467e0c98",
    "id": "bbeh:object_counting:021",
    "request": "My grandmother has 92 nissan pathfinder cars. I have 75 ravens (feeling great about this). My mother has 92 antelopes. I also have 63 jeep gladiator cars (it is a funny story how I have 63 of them: initially I had 81, then I also got another 86 making it a total of 167, then I got another 23 making it a total of 190, but then I lost 127 of them so eventually I am left with 63 of them now). My friend has 76 honda cr-z cars. I also have 79 ginger gold apples (received them yesterday). I also have 79 mazda mx-30 cars (it is a funny story how I have 79 of them: initially I had 30, then I also got another 98 making it a total of 128, then I got another 31 making it a total of 159, but then I lost 80 of them so eventually I am left with 79 of them now). My brother has 98 yaks. I also have 20 bats (here is why I have these many: initially I had 91 of them, then I lost 87 of them, but then I got another 85 of them, but then I lost 69 of them, so at the end I am left with 20 of them). I also have 89 toyota prius cars (here is why I have these many: initially I had 46 of them, then I lost 18 of them, but then I got another 80 of them, but then I lost 19 of them, so at the end I am left with 89 of them). My friend also has 7 mazda cx-90 cars. I also have 54 nissan frintier cars (here is why I have these many: initially I had 88 of them, then I lost 58 of them, but then I got another 94 of them, but then I lost 70 of them, so at the end I am left with 54 of them). My grandfather has 5 boars. I also have 28 lemons (here is why I have these many: initially I had 58 of them, then I lost 14 of them, but then I got another 59 of them, but then I lost 75 of them, so at the end I am left with 28 of them). My mother also has 36 mazda cx-50 cars. I also have 55 cockroaches (they were given to me as a gift). My aunt has 29 mulberrys. My grandfather also has 32 kiwis. I also have 59 cranberrys (it is a funny story how I have 59 of them: initially I had 45, then I also got another 29 making it a total of 74, then I got another 83 making it a total of 157, but then I lost 98 of them so eventually I am left with 59 of them now). I also have 44 honeydews (here is why I have these many: initially I had 24 of them, then I lost 13 of them, but then I got another 85 of them, but then I lost 52 of them, so at the end I am left with 44 of them). I also have 61 toyota camry cars (it is a funny story how I have 61 of them: initially I had 15, then I also got another 16 making it a total of 31, then I got another 46 making it a total of 77, but then I lost 16 of them so eventually I am left with 61 of them now). My cousin has 41 durians. My mother also has 31 raccoons. My cousin also has 71 plums. I also have 86 jazz apples (I am in love with them). My aunt also has 59 alligators. My grandfather also has 54 roosters. My grandmother also has 42 watermelons. My father has 58 raspberrys. I also have 56 ferrets (feeling good about this). I also have 2 toyota tundra cars (very happy to have them). My grandfather also has 20 armadillos. My grandfather also has 9 nebbiolo grapes. My cousin also has 97 koalas. I also have 5 mazda cx-5 cars (they are great). My father also has 62 honda civic cars. I also have 4 gorillas (it is a funny story how I have 4 of them: initially I had 40, then I also got another 99 making it a total of 139, then I got another 14 making it a total of 153, but then I lost 149 of them so eventually I am left with 4 of them now). My aunt also has 88 cattles. I also have 9 moose (I like these a lot). My cousin also has 55 merlot grapes. I also have 83 impalas (here is why I have these many: initially I had 41 of them, then I lost 13 of them, but then I got another 86 of them, but then I lost 31 of them, so at the end I am left with 83 of them). I also have 46 hippopotamus (it is a funny story how I have 46 of them: initially I had 52, then I also got another 73 making it a total of 125, then I got another 32 making it a total of 157, but then I lost 111 of them so eventually I am left with 46 of them now). My uncle has 6 nissan rogue cars. I also have 73 parrots (maybe I just need some of them). My grandfather also has 23 turtles. My uncle also has 9 clementinefigs. I also have 79 emus (feeling good about this). My friend also has 26 ford edge cars. I also have 68 mazda cx-3 cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 79 of them, but then I lost 12 of them, so at the end I am left with 68 of them). My uncle also has 65 echidnas. My cousin also has 2 subaru impreza cars. My brother also has 10 starfruits. My grandfather also has 2 cantaloupes. My aunt also has 2 zebras. My sister has 24 owls. My uncle also has 25 toyota highlander cars. I also have 87 audi a6 cars (here is why I have these many: initially I had 31 of them, then I lost 29 of them, but then I got another 86 of them, but then I lost 1 of them, so at the end I am left with 87 of them). My friend also has 34 prairie dogs. My grandfather also has 54 jonagold apples. I also have 26 cheetahs (it is a funny story how I have 26 of them: initially I had 97, then I also got another 13 making it a total of 110, then I got another 59 making it a total of 169, but then I lost 143 of them so eventually I am left with 26 of them now). My mother also has 42 pineapples. I also have 43 tesla model s cars (here is why I have these many: initially I had 81 of them, then I lost 13 of them, but then I got another 12 of them, but then I lost 37 of them, so at the end I am left with 43 of them). I also have 27 jellyfish (received them last month). My brother also has 37 muscat grapes. I also have 6 breadfruits (here is why I have these many: initially I had 50 of them, then I lost 15 of them, but then I got another 94 of them, but then I lost 123 of them, so at the end I am left with 6 of them). I also have 49 grapefruits (one day, I will have more of them). My grandfather also has 37 honda insight cars. My cousin also has 7 buffaloes. My brother also has 80 pigeons. My grandfather also has 89 chameleons. My brother also has 28 mules. My sister also has 88 peaches. I also have 43 mangoes (here is why I have these many: initially I had 29 of them, then I lost 16 of them, but then I got another 55 of them, but then I lost 25 of them, so at the end I am left with 43 of them). I also have 37 doves (received them last month). My sister also has 17 albatross. I also have 44 toyota c-hr cars (here is why I have these many: initially I had 62 of them, then I lost 48 of them, but then I got another 70 of them, but then I lost 40 of them, so at the end I am left with 44 of them). I also have 61 envy apples (very happy to have them). I also have 47 mosquitoes (very happy to have them). My mother also has 50 riesling grapes. My brother also has 47 falcons. I also have 78 mazda2 cars (here is why I have these many: initially I had 33 of them, then I lost 10 of them, but then I got another 82 of them, but then I lost 27 of them, so at the end I am left with 78 of them). I also have 57 aardvarks (here is why I have these many: initially I had 46 of them, then I lost 21 of them, but then I got another 87 of them, but then I lost 55 of them, so at the end I am left with 57 of them). My aunt also has 83 dragonfruits. I also have 90 nissan kicks cars (feeling good about this). I also have 89 subaru outback cars (very happy to have them). I also have 82 viper snakes (I am in love with them). My father also has 25 hummingbirds. My sister also has 7 pinot noir grapes. My sister also has 31 toyota corolla cars. My grandfather also has 71 dodge challenger cars. I also have 20 quails (they are great). I also have 76 nissan armada cars (I really like them). I also have 83 nissan titan cars (here is why I have these many: initially I had 98 of them, then I lost 31 of them, but then I got another 45 of them, but then I lost 29 of them, so at the end I am left with 83 of them). My friend also has 28 guavas. My sister also has 13 foxes. My grandmother also has 82 sheep. My father also has 85 swans. My father also has 2 papayas. I also have 18 volkswagen golf cars (it is a funny story how I have 18 of them: initially I had 34, then I also got another 88 making it a total of 122, then I got another 84 making it a total of 206, but then I lost 188 of them so eventually I am left with 18 of them now). My grandfather also has 41 hyundai elantra cars. My friend also has 91 honeycrisp apples. I also have 74 hyundai santa fe cars (I like these a lot). My brother also has 63 lychees. I also have 54 mazda cx-30 cars (feeling great about this). My friend also has 74 apricots. My grandfather also has 35 syrah grapes. I also have 35 quinces (I really like them). I also have 27 horses (it is a funny story how I have 27 of them: initially I had 19, then I also got another 98 making it a total of 117, then I got another 56 making it a total of 173, but then I lost 146 of them so eventually I am left with 27 of them now). My sister also has 49 honda element cars. My sister also has 87 honda hr-v cars. My aunt also has 52 black rat snakes. My friend also has 48 persimmons. My cousin also has 54 toyota avalon cars. My grandmother also has 77 honda pilot cars. My aunt also has 62 mamba snakes. My cousin also has 86 beavers. I also have 84 gala apples (here is why I have these many: initially I had 67 of them, then I lost 25 of them, but then I got another 78 of them, but then I lost 36 of them, so at the end I am left with 84 of them). My grandfather also has 30 possums. My aunt also has 73 pigs. I also have 67 mazda3 cars (they were given to me as a gift). I also have 6 mice (it is a funny story how I have 6 of them: initially I had 25, then I also got another 97 making it a total of 122, then I got another 53 making it a total of 175, but then I lost 169 of them so eventually I am left with 6 of them now). I also have 7 macaws (I really like them). My mother also has 5 jackfruits. I also have 27 nissan maxima cars (received them yesterday). I also have 23 toyota sienna cars (here is why I have these many: initially I had 54 of them, then I lost 50 of them, but then I got another 46 of them, but then I lost 27 of them, so at the end I am left with 23 of them). I also have 28 honda accord cars (here is why I have these many: initially I had 71 of them, then I lost 18 of them, but then I got another 71 of them, but then I lost 96 of them, so at the end I am left with 28 of them). I also have 23 toyota rav4 cars (it is a funny story how I have 23 of them: initially I had 73, then I also got another 30 making it a total of 103, then I got another 57 making it a total of 160, but then I lost 137 of them so eventually I am left with 23 of them now). My friend also has 47 snails. My father also has 18 flys. I also have 50 shrimps (here is why I have these many: initially I had 56 of them, then I lost 11 of them, but then I got another 33 of them, but then I lost 28 of them, so at the end I am left with 50 of them). I also have 24 cranes (I like these a lot). My aunt also has 75 toyota 4runnertoyota sequoia cars. My uncle also has 96 fish. I also have 96 seahorses (it is a funny story how I have 96 of them: initially I had 55, then I also got another 46 making it a total of 101, then I got another 36 making it a total of 137, but then I lost 41 of them so eventually I am left with 96 of them now). I also have 92 elephants (very happy to have them).  What is the absolute difference of the total number of fruits and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "fa3959a3c0ce3c3e296ad53fe49bd8fd1b593a60e00bf9556ea8a93c5577c06d",
    "id": "bbeh:object_counting:034",
    "request": "My uncle has 21 hummingbirds. My cousin has 94 bats. I have 49 motorola mobiles (I am in love with them). I also have 73 pianos (here is why I have these many: initially I had 66 of them, then I lost 56 of them, but then I got another 87 of them, but then I lost 24 of them, so at the end I am left with 73 of them). My sister has 51 owls. My friend has 64 huawei nova 11 se mobiles. My friend also has 20 rattlesnakes. My brother has 23 crows. I also have 42 fish (they were given to me as a gift). I also have 33 ravens (it is a funny story how I have 33 of them: initially I had 22, then I also got another 31 making it a total of 53, then I got another 36 making it a total of 89, but then I lost 56 of them so eventually I am left with 33 of them now). I also have 5 castanets (it is a funny story how I have 5 of them: initially I had 64, then I also got another 92 making it a total of 156, then I got another 38 making it a total of 194, but then I lost 189 of them so eventually I am left with 5 of them now). I also have 21 marimbas (here is why I have these many: initially I had 63 of them, then I lost 62 of them, but then I got another 29 of them, but then I lost 9 of them, so at the end I am left with 21 of them). My sister also has 70 harmonicas. My cousin also has 15 pigs. My grandmother has 55 tanpuras. My aunt has 77 iphone 6 mobiles. My brother also has 19 ferrets. My uncle also has 92 huawei nova 12 pro mobiles. I also have 36 rababs (maybe I just need some of them). I also have 63 guzhengs (very happy to have them). My cousin also has 59 iphone 11 mobiles. My grandfather has 78 biwas. My uncle also has 7 erhus. My father has 20 meizu mobiles. My father also has 36 samsung galaxy z fold5 mobiles. My grandfather also has 16 oppo mobiles. I also have 14 recorders (it is a funny story how I have 14 of them: initially I had 43, then I also got another 52 making it a total of 95, then I got another 93 making it a total of 188, but then I lost 174 of them so eventually I am left with 14 of them now). I also have 67 salamanders (here is why I have these many: initially I had 31 of them, then I lost 25 of them, but then I got another 93 of them, but then I lost 32 of them, so at the end I am left with 67 of them). My brother also has 2 huawei nova 12s mobiles. I also have 26 badgers (here is why I have these many: initially I had 33 of them, then I lost 23 of them, but then I got another 90 of them, but then I lost 74 of them, so at the end I am left with 26 of them). I also have 65 sharks (received them yesterday). My uncle also has 22 lions. My mother has 3 iphone 13 mobiles. My cousin also has 26 iphone x mobiles. I also have 95 samsung galaxy s24 mobiles (it is a funny story how I have 95 of them: initially I had 77, then I also got another 15 making it a total of 92, then I got another 27 making it a total of 119, but then I lost 24 of them so eventually I am left with 95 of them now). I also have 49 tamburas (received them yesterday). I also have 78 iphone 12 mobiles (it is a funny story how I have 78 of them: initially I had 49, then I also got another 61 making it a total of 110, then I got another 97 making it a total of 207, but then I lost 129 of them so eventually I am left with 78 of them now). My aunt also has 27 huawei pura 70 pro+ mobiles. I also have 88 trumpets (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 98 of them, but then I lost 11 of them, so at the end I am left with 88 of them). I also have 89 huawei mate x6 mobiles (one day, I will have more of them). I also have 2 goldfish (it is a funny story how I have 2 of them: initially I had 81, then I also got another 93 making it a total of 174, then I got another 100 making it a total of 274, but then I lost 272 of them so eventually I am left with 2 of them now). My cousin also has 42 cellos. My aunt also has 51 baboons. I also have 81 electric violins (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 100 of them, but then I lost 20 of them, so at the end I am left with 81 of them). I also have 66 mandolins (it is a funny story how I have 66 of them: initially I had 26, then I also got another 100 making it a total of 126, then I got another 10 making it a total of 136, but then I lost 70 of them so eventually I am left with 66 of them now). My mother also has 51 google (pixel) mobiles. I also have 49 geese (here is why I have these many: initially I had 83 of them, then I lost 55 of them, but then I got another 40 of them, but then I lost 19 of them, so at the end I am left with 49 of them). My grandfather also has 1 iphone 8 mobiles. My mother also has 51 elks. My father also has 85 iphone 14 mobiles. I also have 33 honor mobiles (hope to have more in the future). I also have 56 mbiras (happt to have them). My uncle also has 52 iphone 16 mobiles. My friend also has 23 synthesizer keyboards. I also have 86 vivo mobiles (happt to have them). I also have 50 turtles (here is why I have these many: initially I had 62 of them, then I lost 48 of them, but then I got another 52 of them, but then I lost 16 of them, so at the end I am left with 50 of them). I also have 6 iphone 7 mobiles (planning to have more in the future). I also have 88 huawei nova 12i mobiles (here is why I have these many: initially I had 54 of them, then I lost 49 of them, but then I got another 85 of them, but then I lost 2 of them, so at the end I am left with 88 of them). My sister also has 30 sitars. I also have 26 flamingoes (thrilled to have these). I also have 53 shamisens (here is why I have these many: initially I had 50 of them, then I lost 41 of them, but then I got another 92 of them, but then I lost 48 of them, so at the end I am left with 53 of them). My cousin also has 36 theremins. I also have 44 wasps (I like these a lot). I also have 75 flutes (received them last week). My grandfather also has 22 tambourines. My aunt also has 45 iphone 15 mobiles. My brother also has 38 setars. I also have 80 huawei pura 70 ultra mobiles (I do not think I need this much). I also have 23 violins (it is a funny story how I have 23 of them: initially I had 30, then I also got another 56 making it a total of 86, then I got another 76 making it a total of 162, but then I lost 139 of them so eventually I am left with 23 of them now). My grandfather also has 72 clarinets. My uncle also has 46 samsung galaxy f05 mobiles. My father also has 49 bassoons. I also have 93 zte mobiles (it is a funny story how I have 93 of them: initially I had 46, then I also got another 28 making it a total of 74, then I got another 60 making it a total of 134, but then I lost 41 of them so eventually I am left with 93 of them now). I also have 24 bears (received them yesterday). I also have 19 huawei pura 70 pro mobiles (it is a funny story how I have 19 of them: initially I had 44, then I also got another 78 making it a total of 122, then I got another 97 making it a total of 219, but then I lost 200 of them so eventually I am left with 19 of them now). I also have 46 electric bass (they were given to me as a gift). My grandfather also has 31 djembes. My friend also has 28 electric drums. I also have 83 tigers (I really like them). My grandfather also has 7 harps. I also have 17 aardvarks (it is a funny story how I have 17 of them: initially I had 66, then I also got another 27 making it a total of 93, then I got another 86 making it a total of 179, but then I lost 162 of them so eventually I am left with 17 of them now). I also have 77 organs (it is a funny story how I have 77 of them: initially I had 38, then I also got another 48 making it a total of 86, then I got another 89 making it a total of 175, but then I lost 98 of them so eventually I am left with 77 of them now). I also have 60 french horns (feeling great about this). I also have 59 gorillas (happt to have them). My cousin also has 52 chameleons. I also have 75 groundhogs (here is why I have these many: initially I had 19 of them, then I lost 11 of them, but then I got another 96 of them, but then I lost 29 of them, so at the end I am left with 75 of them). My mother also has 42 huawei mate 70 mobiles. I also have 89 eagles (here is why I have these many: initially I had 49 of them, then I lost 34 of them, but then I got another 88 of them, but then I lost 14 of them, so at the end I am left with 89 of them). My sister also has 80 samsung galaxy a55 mobiles. My friend also has 97 mamba snakes. My cousin also has 13 giraffes. I also have 48 pandas (received them yesterday). I also have 37 banjoes (here is why I have these many: initially I had 15 of them, then I lost 10 of them, but then I got another 96 of them, but then I lost 64 of them, so at the end I am left with 37 of them). I also have 67 leopards (feeling good about this). I also have 17 zebras (it is a funny story how I have 17 of them: initially I had 70, then I also got another 48 making it a total of 118, then I got another 11 making it a total of 129, but then I lost 112 of them so eventually I am left with 17 of them now). My grandfather also has 88 iphone 5 mobiles. I also have 10 samsung galaxy c55 mobiles (it is a funny story how I have 10 of them: initially I had 27, then I also got another 12 making it a total of 39, then I got another 66 making it a total of 105, but then I lost 95 of them so eventually I am left with 10 of them now). My mother also has 9 lg mobiles. My uncle also has 39 xiaomi mobiles. I also have 94 bongos (feeling great about this). My uncle also has 77 iguanas. My aunt also has 12 blackberry mobiles. My cousin also has 62 hammered dulcimers. I also have 75 mules (hope to have more in the future). I also have 14 quails (received them last month). I also have 84 electric cellos (thrilled to have these). I also have 87 bees (here is why I have these many: initially I had 60 of them, then I lost 55 of them, but then I got another 99 of them, but then I lost 17 of them, so at the end I am left with 87 of them). My aunt also has 73 samsung galaxy a16 mobiles. My aunt also has 90 lutes. My uncle also has 92 samsung galaxy a15 mobiles. My mother also has 79 sazzes. My grandfather also has 11 crocodiles. My sister also has 94 koras. My friend also has 45 vultures. My brother also has 34 samsung galaxy z fold6 mobiles. I also have 96 samsung galaxy a35 mobiles (very happy to have them). My uncle also has 90 oboes. My cousin also has 70 sruti boxes. I also have 89 nokia mobiles (it is a funny story how I have 89 of them: initially I had 57, then I also got another 12 making it a total of 69, then I got another 37 making it a total of 106, but then I lost 17 of them so eventually I am left with 89 of them now). I also have 50 oneplus mobiles (received them last week). I also have 11 pennywhistles (it is a funny story how I have 11 of them: initially I had 46, then I also got another 27 making it a total of 73, then I got another 27 making it a total of 100, but then I lost 89 of them so eventually I am left with 11 of them now). I also have 80 guitars (here is why I have these many: initially I had 45 of them, then I lost 18 of them, but then I got another 95 of them, but then I lost 42 of them, so at the end I am left with 80 of them). My friend also has 6 autoharps. My cousin also has 55 trombones. My grandfather also has 30 yaks.  What is the absolute difference of the total number of musical instruments and mobiles that I have?",
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  {
    "dataset": "bbeh",
    "family": "2d65621c76180105fa3c57cd91ed334c7cec8853345bfc0584089fd6b9017abb",
    "id": "bbeh:object_counting:036",
    "request": "I have 50 theremins (hope to have more in the future). My cousin has 80 cellos. My father has 29 cats. My grandfather has 57 honda pilot cars. I also have 55 electric guitars (it is a funny story how I have 55 of them: initially I had 28, then I also got another 10 making it a total of 38, then I got another 62 making it a total of 100, but then I lost 45 of them so eventually I am left with 55 of them now). My mother has 34 nissan kicks cars. I also have 56 electric violins (here is why I have these many: initially I had 72 of them, then I lost 40 of them, but then I got another 81 of them, but then I lost 57 of them, so at the end I am left with 56 of them). I also have 87 toyota rav4 cars (here is why I have these many: initially I had 50 of them, then I lost 30 of them, but then I got another 76 of them, but then I lost 9 of them, so at the end I am left with 87 of them). I also have 31 bisons (received them last week). I also have 86 electric cellos (it is a funny story how I have 86 of them: initially I had 87, then I also got another 61 making it a total of 148, then I got another 67 making it a total of 215, but then I lost 129 of them so eventually I am left with 86 of them now). My mother also has 7 bass guitars. My grandfather also has 85 tambourines. I also have 22 zithers (it is a funny story how I have 22 of them: initially I had 100, then I also got another 56 making it a total of 156, then I got another 77 making it a total of 233, but then I lost 211 of them so eventually I am left with 22 of them now). I also have 82 leopards (received them last month). I also have 8 harps (received them last week). I also have 76 drums (it is a funny story how I have 76 of them: initially I had 98, then I also got another 32 making it a total of 130, then I got another 71 making it a total of 201, but then I lost 125 of them so eventually I am left with 76 of them now). I also have 1 mule (feeling good about this). My cousin also has 83 didgeridoos. I also have 64 bansuris (here is why I have these many: initially I had 35 of them, then I lost 30 of them, but then I got another 91 of them, but then I lost 32 of them, so at the end I am left with 64 of them). I also have 64 buffaloes (very happy to have them). I also have 7 mbiras (it is a funny story how I have 7 of them: initially I had 76, then I also got another 69 making it a total of 145, then I got another 56 making it a total of 201, but then I lost 194 of them so eventually I am left with 7 of them now). My uncle has 61 pennywhistles. My cousin also has 61 canarys. I also have 56 setars (here is why I have these many: initially I had 63 of them, then I lost 40 of them, but then I got another 43 of them, but then I lost 10 of them, so at the end I am left with 56 of them). My sister has 5 congas. I also have 58 clavichords (very happy to have them). My uncle also has 20 nissan altima cars. I also have 39 toyota avalon cars (I like these a lot). I also have 82 peacocks (received them yesterday). My aunt has 3 deer. I also have 15 tamburas (thrilled to have these). I also have 41 roosters (they are great). I also have 41 magpies (it is a funny story how I have 41 of them: initially I had 33, then I also got another 83 making it a total of 116, then I got another 54 making it a total of 170, but then I lost 129 of them so eventually I am left with 41 of them now). I also have 2 toyota sienna cars (it is a funny story how I have 2 of them: initially I had 67, then I also got another 57 making it a total of 124, then I got another 22 making it a total of 146, but then I lost 144 of them so eventually I am left with 2 of them now). My cousin also has 51 honda cr-z cars. My aunt also has 37 cheetahs. My brother has 40 hammered dulcimers. My friend has 93 recorders. My father also has 1 boa snake. I also have 22 nissan murano cars (here is why I have these many: initially I had 25 of them, then I lost 16 of them, but then I got another 24 of them, but then I lost 11 of them, so at the end I am left with 22 of them). I also have 33 pianos (they were given to me as a gift). I also have 19 mazda cx-50 cars (it is a funny story how I have 19 of them: initially I had 67, then I also got another 57 making it a total of 124, then I got another 61 making it a total of 185, but then I lost 166 of them so eventually I am left with 19 of them now). My aunt also has 83 ford edge cars. I also have 69 subaru outback cars (I do not think I need this much). My aunt also has 39 nissan titan cars. I also have 48 toads (here is why I have these many: initially I had 61 of them, then I lost 42 of them, but then I got another 52 of them, but then I lost 23 of them, so at the end I am left with 48 of them). I also have 96 violins (received them last month). I also have 93 toyota 4runnertoyota sequoia cars (received them yesterday). I also have 87 toyota camry cars (feeling good about this). My aunt also has 95 kazoos. My uncle also has 97 oboes. My brother also has 33 sazzes. My friend also has 24 honda prologuq cars. I also have 56 ukuleles (received them yesterday). My cousin also has 20 rebecs. My uncle also has 83 double bass. I also have 91 toyota corolla cars (here is why I have these many: initially I had 43 of them, then I lost 12 of them, but then I got another 84 of them, but then I lost 24 of them, so at the end I am left with 91 of them). I also have 80 wasps (here is why I have these many: initially I had 36 of them, then I lost 23 of them, but then I got another 74 of them, but then I lost 7 of them, so at the end I am left with 80 of them). I also have 49 toyota tacoma cars (here is why I have these many: initially I had 82 of them, then I lost 21 of them, but then I got another 56 of them, but then I lost 68 of them, so at the end I am left with 49 of them). I also have 75 mazda cx-3 cars (it is a funny story how I have 75 of them: initially I had 53, then I also got another 44 making it a total of 97, then I got another 76 making it a total of 173, but then I lost 98 of them so eventually I am left with 75 of them now). I also have 96 mazda6 cars (it is a funny story how I have 96 of them: initially I had 61, then I also got another 71 making it a total of 132, then I got another 37 making it a total of 169, but then I lost 73 of them so eventually I am left with 96 of them now). My grandfather also has 95 harmonicas. I also have 27 honda civic cars (received them last month). My mother also has 36 turkeys. I also have 11 mazda cx-70 cars (here is why I have these many: initially I had 69 of them, then I lost 38 of them, but then I got another 61 of them, but then I lost 81 of them, so at the end I am left with 11 of them). My mother also has 71 snails. My grandmother has 71 electric pianos. I also have 98 flys (here is why I have these many: initially I had 74 of them, then I lost 51 of them, but then I got another 87 of them, but then I lost 12 of them, so at the end I am left with 98 of them). My aunt also has 34 tablas. My grandfather also has 22 reindeer. I also have 87 butterflys (it is a funny story how I have 87 of them: initially I had 90, then I also got another 26 making it a total of 116, then I got another 74 making it a total of 190, but then I lost 103 of them so eventually I am left with 87 of them now). My uncle also has 5 cattles. My aunt also has 25 honda accord cars. My brother also has 66 goldfish. My brother also has 10 kotoes. My grandfather also has 83 synthesizer keyboards. My mother also has 84 trumpets. My grandfather also has 30 falcons. My grandfather also has 38 toyota c-hr cars. I also have 19 rats (planning to have more in the future). I also have 88 trombones (happt to have them). My aunt also has 23 hyundai elantra cars. My aunt also has 9 hedgehogs. I also have 78 sharks (it is a funny story how I have 78 of them: initially I had 53, then I also got another 93 making it a total of 146, then I got another 27 making it a total of 173, but then I lost 95 of them so eventually I am left with 78 of them now). My grandmother also has 14 mosquitoes. My father also has 74 albatross. My father also has 58 nissan sentra cars. I also have 74 vibraphone, steelpans (here is why I have these many: initially I had 59 of them, then I lost 22 of them, but then I got another 54 of them, but then I lost 17 of them, so at the end I am left with 74 of them). My grandfather also has 44 nissan pathfinder cars. My brother also has 44 autoharps. My uncle also has 81 subaru ascent cars. My aunt also has 14 opossums. My uncle also has 22 aardvarks. I also have 44 ferrets (received them last week). I also have 57 ouds (it is a funny story how I have 57 of them: initially I had 82, then I also got another 82 making it a total of 164, then I got another 45 making it a total of 209, but then I lost 152 of them so eventually I am left with 57 of them now). My cousin also has 57 dodge challenger cars. My cousin also has 89 corgis. My brother also has 94 ocarinas. My brother also has 78 bagpipes. My sister also has 99 hyundai santa fe cars. My sister also has 93 yaks. My brother also has 72 koras. I also have 55 baboons (I really like them). My brother also has 83 groundhogs. I also have 74 orangutans (planning to have more in the future). I also have 2 french horns (one day, I will have more of them). I also have 41 moose (one day, I will have more of them). My sister also has 32 bees. I also have 38 mamba snakes (it is a funny story how I have 38 of them: initially I had 63, then I also got another 60 making it a total of 123, then I got another 33 making it a total of 156, but then I lost 118 of them so eventually I am left with 38 of them now). My cousin also has 6 mazda3 cars. I also have 82 ponys (it is a funny story how I have 82 of them: initially I had 10, then I also got another 91 making it a total of 101, then I got another 24 making it a total of 125, but then I lost 43 of them so eventually I am left with 82 of them now). My friend also has 79 chickens. My uncle also has 30 subaru impreza cars. I also have 1 honda hr-v cars (here is why I have these many: initially I had 39 of them, then I lost 23 of them, but then I got another 50 of them, but then I lost 65 of them, so at the end I am left with 1 of them). I also have 46 seahorses (they are great). My brother also has 20 honda insight cars. My grandfather also has 48 flutes. I also have 57 lutes (it is a funny story how I have 57 of them: initially I had 50, then I also got another 52 making it a total of 102, then I got another 61 making it a total of 163, but then I lost 106 of them so eventually I am left with 57 of them now). I also have 32 king cobra snakes (received them last week). My grandfather also has 35 raccoons. My friend also has 64 dulcimers. My sister also has 49 kingsnakes. My father also has 55 nissan ariya cars. My aunt also has 56 stingrays. My grandfather also has 30 honda passport cars. I also have 54 ants (it is a funny story how I have 54 of them: initially I had 56, then I also got another 21 making it a total of 77, then I got another 76 making it a total of 153, but then I lost 99 of them so eventually I am left with 54 of them now). I also have 55 guitars (here is why I have these many: initially I had 62 of them, then I lost 12 of them, but then I got another 44 of them, but then I lost 39 of them, so at the end I am left with 55 of them). I also have 41 camels (they are great). My friend also has 72 komodo dragons. I also have 65 bassoons (I am in love with them). My uncle also has 2 bouzoukis. I also have 54 python snakes (thrilled to have these). My mother also has 15 toyota tundra cars. My friend also has 95 mridangams. My mother also has 74 sruti boxes. I also have 56 nissan rogue cars (here is why I have these many: initially I had 63 of them, then I lost 36 of them, but then I got another 59 of them, but then I lost 30 of them, so at the end I am left with 56 of them). I also have 19 tesla model s cars (very happy to have them). My grandmother also has 30 crocodiles. I also have 44 shehnais (feeling great about this). I also have 56 pigs (I do not think I need this much). I also have 89 horses (here is why I have these many: initially I had 25 of them, then I lost 10 of them, but then I got another 95 of them, but then I lost 21 of them, so at the end I am left with 89 of them).  What is the sum of the total number of animals/insects and cars that I have?",
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  {
    "dataset": "bbeh",
    "family": "925251f257532b85a198a0ad93a61bceaf6d5f5e25c69889c752627dada5aadd",
    "id": "bbeh:object_counting:042",
    "request": "I have 64 ambrosia apples (I am in love with them). I also have 43 mazda cx-5 cars (it is a funny story how I have 43 of them: initially I had 86, then I also got another 80 making it a total of 166, then I got another 38 making it a total of 204, but then I lost 161 of them so eventually I am left with 43 of them now). I also have 53 subaru outback cars (one day, I will have more of them). I also have 46 nissan altima cars (it is a funny story how I have 46 of them: initially I had 63, then I also got another 77 making it a total of 140, then I got another 21 making it a total of 161, but then I lost 115 of them so eventually I am left with 46 of them now). My mother has 22 toyota camry cars. My uncle has 27 peaches. I also have 47 guavas (it is a funny story how I have 47 of them: initially I had 66, then I also got another 49 making it a total of 115, then I got another 38 making it a total of 153, but then I lost 106 of them so eventually I am left with 47 of them now). My grandmother has 17 shehnais. My brother has 16 vibraphone, steelpans. I also have 61 kotoes (maybe I just need some of them). My brother also has 63 mridangams. My brother also has 19 pink lady apples. My brother also has 39 tars. I also have 82 envy apples (it is a funny story how I have 82 of them: initially I had 53, then I also got another 64 making it a total of 117, then I got another 77 making it a total of 194, but then I lost 112 of them so eventually I am left with 82 of them now). My brother also has 60 nissan titan cars. My cousin has 21 lychees. I also have 67 riesling grapes (feeling great about this). I also have 61 mangoes (it is a funny story how I have 61 of them: initially I had 71, then I also got another 26 making it a total of 97, then I got another 54 making it a total of 151, but then I lost 90 of them so eventually I am left with 61 of them now). I also have 39 pineapples (here is why I have these many: initially I had 15 of them, then I lost 13 of them, but then I got another 95 of them, but then I lost 58 of them, so at the end I am left with 39 of them). I also have 68 kiwis (here is why I have these many: initially I had 43 of them, then I lost 36 of them, but then I got another 97 of them, but then I lost 36 of them, so at the end I am left with 68 of them). My grandfather has 75 panpipes. My friend has 19 honda hr-v cars. I also have 78 bassoons (they are great). My grandfather also has 40 nissan pathfinder cars. My aunt has 30 papayas. My uncle also has 62 accordions. My sister has 47 dodge challenger cars. I also have 72 strawberrys (it is a funny story how I have 72 of them: initially I had 54, then I also got another 95 making it a total of 149, then I got another 53 making it a total of 202, but then I lost 130 of them so eventually I am left with 72 of them now). My uncle also has 77 toyota avalon cars. My grandmother also has 82 jackfruits. My grandfather also has 22 coconuts. My cousin also has 44 mazda cx-3 cars. I also have 82 toyota tundra cars (they were given to me as a gift). I also have 53 honda cr-v cars (here is why I have these many: initially I had 98 of them, then I lost 71 of them, but then I got another 94 of them, but then I lost 68 of them, so at the end I am left with 53 of them). My father has 83 watermelons. My grandfather also has 54 toyota c-hr cars. I also have 52 autoharps (here is why I have these many: initially I had 25 of them, then I lost 15 of them, but then I got another 50 of them, but then I lost 8 of them, so at the end I am left with 52 of them). My brother also has 66 mbiras. I also have 75 mazda mx-30 cars (I am in love with them). I also have 28 pennywhistles (feeling great about this). My father also has 50 spartan apples. I also have 84 tablas (planning to have more in the future). I also have 41 glockenspiels (I do not think I need this much). My cousin also has 20 mazda6 cars. My friend also has 84 bansuris. My grandmother also has 50 syrah grapes. I also have 33 kazoos (received them last month). My mother also has 85 cherrys. I also have 46 toyota prius cars (they were given to me as a gift). I also have 64 honda pilot cars (received them last week). I also have 65 muscat grapes (here is why I have these many: initially I had 95 of them, then I lost 87 of them, but then I got another 82 of them, but then I lost 25 of them, so at the end I am left with 65 of them). My grandfather also has 27 bananas. My sister also has 16 grenache grapes. My father also has 36 electric drums. My aunt also has 77 mazda cx-30 cars. I also have 14 honda passport cars (it is a funny story how I have 14 of them: initially I had 39, then I also got another 14 making it a total of 53, then I got another 26 making it a total of 79, but then I lost 65 of them so eventually I am left with 14 of them now). I also have 17 mazda2 cars (it is a funny story how I have 17 of them: initially I had 83, then I also got another 15 making it a total of 98, then I got another 20 making it a total of 118, but then I lost 101 of them so eventually I am left with 17 of them now). My brother also has 99 n'gonis. I also have 24 mazda cx-50 cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 86 of them, but then I lost 63 of them, so at the end I am left with 24 of them). My father also has 32 jonagold apples. I also have 24 banjoes (received them last month). My sister also has 72 cotton candy grapes. I also have 65 tambourines (received them yesterday). I also have 75 blueberrys (here is why I have these many: initially I had 28 of them, then I lost 22 of them, but then I got another 95 of them, but then I lost 26 of them, so at the end I am left with 75 of them). I also have 76 ginger gold apples (here is why I have these many: initially I had 50 of them, then I lost 41 of them, but then I got another 97 of them, but then I lost 30 of them, so at the end I am left with 76 of them). My mother also has 75 nissan armada cars. My uncle also has 12 jazz apples. I also have 12 toyota 4runnertoyota sequoia cars (I am in love with them). I also have 24 electric pianos (I really like them). My aunt also has 80 raspberrys. I also have 98 honda prologuq cars (thrilled to have these). My brother also has 44 kia niro cars. I also have 59 marimbas (they were given to me as a gift). I also have 71 nissan rogue cars (it is a funny story how I have 71 of them: initially I had 45, then I also got another 68 making it a total of 113, then I got another 48 making it a total of 161, but then I lost 90 of them so eventually I am left with 71 of them now). My cousin also has 86 honda insight cars. I also have 44 nectarines (received them last month). I also have 19 pomegranates (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 90 of them, but then I lost 75 of them, so at the end I am left with 19 of them). My uncle also has 55 double bass. My father also has 37 guzhengs. My aunt also has 27 biwas. I also have 46 electric cellos (here is why I have these many: initially I had 76 of them, then I lost 48 of them, but then I got another 58 of them, but then I lost 40 of them, so at the end I am left with 46 of them). My aunt also has 76 mazda cx-90 cars. I also have 21 dulcimers (feeling great about this). My sister also has 12 tesla model s cars. My aunt also has 54 elderberryoranges. I also have 69 subaru ascent cars (I am in love with them). My mother also has 2 bagpipes.  What is the sum of the total number of fruits and cars that I have?",
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  {
    "dataset": "bbeh",
    "family": "7013a3940bb59d770382b2114c3f57d6f6a919af212ad9f13e38c14b7c27ef09",
    "id": "bbeh:object_counting:050",
    "request": "I have 35 sitars (here is why I have these many: initially I had 99 of them, then I lost 52 of them, but then I got another 59 of them, but then I lost 71 of them, so at the end I am left with 35 of them). I also have 61 zithers (received them last month). My friend has 66 bansuris. My father has 75 electric guitars. My brother has 92 electric pianos. I also have 4 tortoises (it is a funny story how I have 4 of them: initially I had 100, then I also got another 53 making it a total of 153, then I got another 66 making it a total of 219, but then I lost 215 of them so eventually I am left with 4 of them now). My mother has 47 toyota rav4 cars. My mother also has 20 mazda cx-80 cars. I also have 18 panpipes (feeling great about this). I also have 84 elks (they were given to me as a gift). My father also has 24 shamisens. I also have 77 turtles (one day, I will have more of them). My friend also has 50 banjoes. My sister has 16 goats. My father also has 66 octopus. My cousin has 32 macaws. My cousin also has 77 electric violins. I also have 75 sruti boxes (I am in love with them). I also have 98 snails (here is why I have these many: initially I had 30 of them, then I lost 15 of them, but then I got another 93 of them, but then I lost 10 of them, so at the end I am left with 98 of them). I also have 26 cod (here is why I have these many: initially I had 55 of them, then I lost 23 of them, but then I got another 48 of them, but then I lost 54 of them, so at the end I am left with 26 of them). I also have 44 giraffes (it is a funny story how I have 44 of them: initially I had 87, then I also got another 74 making it a total of 161, then I got another 32 making it a total of 193, but then I lost 149 of them so eventually I am left with 44 of them now). My grandfather has 23 toyota camry cars. My cousin also has 38 nissan rogue cars. I also have 49 bongos (they were given to me as a gift). My brother also has 62 erhus. I also have 51 hyundai elantra cars (very happy to have them). My mother also has 63 castanets. I also have 38 hummingbirds (here is why I have these many: initially I had 84 of them, then I lost 81 of them, but then I got another 86 of them, but then I lost 51 of them, so at the end I am left with 38 of them). I also have 46 ponys (thrilled to have these). My grandfather also has 33 jeep gladiator cars. I also have 18 mazda cx-50 cars (they are great). My brother also has 20 biwas. I also have 15 xylophones (feeling great about this). My sister also has 81 honda hr-v cars. I also have 6 dodge challenger cars (it is a funny story how I have 6 of them: initially I had 52, then I also got another 22 making it a total of 74, then I got another 49 making it a total of 123, but then I lost 117 of them so eventually I am left with 6 of them now). My grandmother has 62 mazda6 cars. My friend also has 61 cattles. My mother also has 8 nissan leaf cars. My sister also has 64 glockenspiels. My sister also has 96 cats. My cousin also has 75 honda insight cars. My grandfather also has 94 hyundai santa fe cars. My brother also has 52 trombones. My grandmother also has 65 toyota prius cars. I also have 71 subaru ascent cars (I really like them). My father also has 69 tanpuras. I also have 45 pigeons (thrilled to have these). I also have 73 chameleons (here is why I have these many: initially I had 40 of them, then I lost 20 of them, but then I got another 81 of them, but then I lost 28 of them, so at the end I am left with 73 of them). My aunt has 28 kazoos. I also have 19 setars (maybe I just need some of them). I also have 7 elephants (here is why I have these many: initially I had 69 of them, then I lost 20 of them, but then I got another 44 of them, but then I lost 86 of them, so at the end I am left with 7 of them). I also have 43 ouds (here is why I have these many: initially I had 50 of them, then I lost 12 of them, but then I got another 96 of them, but then I lost 91 of them, so at the end I am left with 43 of them). I also have 69 ford edge cars (I am in love with them). I also have 19 ravens (very happy to have them). My aunt also has 91 nadaswarams. My cousin also has 43 hamsters. My grandfather also has 74 nissan maxima cars. My sister also has 91 dulcimers. I also have 47 honda cr-z cars (maybe I just need some of them). My sister also has 21 toyota 4runnertoyota sequoia cars. My grandmother also has 98 synthesizer keyboards. My mother also has 70 nissan kicks cars. I also have 94 honda cr-v cars (it is a funny story how I have 94 of them: initially I had 29, then I also got another 84 making it a total of 113, then I got another 43 making it a total of 156, but then I lost 62 of them so eventually I am left with 94 of them now). I also have 99 toyota corolla cars (here is why I have these many: initially I had 46 of them, then I lost 42 of them, but then I got another 96 of them, but then I lost 1 of them, so at the end I am left with 99 of them). My brother also has 62 tambourines. My uncle has 2 salamanders. I also have 46 king cobra snakes (it is a funny story how I have 46 of them: initially I had 79, then I also got another 65 making it a total of 144, then I got another 89 making it a total of 233, but then I lost 187 of them so eventually I am left with 46 of them now). I also have 11 accordions (here is why I have these many: initially I had 94 of them, then I lost 76 of them, but then I got another 33 of them, but then I lost 40 of them, so at the end I am left with 11 of them). I also have 72 black rat snakes (feeling good about this). My brother also has 62 bassoons. My grandmother also has 23 maracas. My sister also has 22 albatross. I also have 92 toyota highlander cars (feeling great about this). My friend also has 63 moose. My friend also has 46 dolphins. My brother also has 95 harmonicas. My aunt also has 93 alligators. I also have 16 seals (feeling good about this). My grandmother also has 6 mice. I also have 18 toyota sienna cars (it is a funny story how I have 18 of them: initially I had 55, then I also got another 85 making it a total of 140, then I got another 22 making it a total of 162, but then I lost 144 of them so eventually I am left with 18 of them now). My friend also has 50 tesla model s cars. My aunt also has 92 honda odyssey cars. My mother also has 60 aardvarks. My uncle also has 45 wolves. My uncle also has 85 sheep. My grandfather also has 51 owls. My father also has 43 apes. My uncle also has 63 toyota avalon cars. My father also has 75 hyenas. My uncle also has 24 honda accord cars. I also have 70 mazda2 cars (they are great). My friend also has 72 nissan altima cars. I also have 2 toyota tacoma cars (happt to have them). My grandmother also has 93 tigers. I also have 58 jellyfish (it is a funny story how I have 58 of them: initially I had 83, then I also got another 94 making it a total of 177, then I got another 14 making it a total of 191, but then I lost 133 of them so eventually I am left with 58 of them now).  What is the absolute difference of the total number of animals/insects and cars that I have?",
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  {
    "dataset": "bbeh",
    "family": "cf615b3be95ba3d39972c165ad13264f05f59381ada3bcb6de5b6d6a46658fc7",
    "id": "bbeh:object_counting:051",
    "request": "My father has 21 organs. My mother has 48 huawei nova 11 se mobiles. I have 39 oboes (happt to have them). My brother has 39 french horns. I also have 12 volkswagen golf cars (I really like them). My mother also has 23 hyundai santa fe cars. My grandmother has 21 buick enclave cars. I also have 59 honda insight cars (it is a funny story how I have 59 of them: initially I had 22, then I also got another 44 making it a total of 66, then I got another 16 making it a total of 82, but then I lost 23 of them so eventually I am left with 59 of them now). My friend has 50 samsung galaxy a35 mobiles. My sister has 10 pianos. My uncle has 57 honda element cars. My aunt has 21 sruti boxes. My friend also has 85 mazda6 cars. I also have 24 oppo mobiles (here is why I have these many: initially I had 34 of them, then I lost 21 of them, but then I got another 20 of them, but then I lost 9 of them, so at the end I am left with 24 of them). My aunt also has 61 samsung galaxy z fold6 mobiles. I also have 41 erhus (I am in love with them). My grandfather has 32 nissan maxima cars. My friend also has 76 mazda cx-70 cars. My cousin has 77 mazda cx-90 cars. I also have 73 huawei pura 70 mobiles (it is a funny story how I have 73 of them: initially I had 97, then I also got another 88 making it a total of 185, then I got another 66 making it a total of 251, but then I lost 178 of them so eventually I am left with 73 of them now). My father also has 48 honda odyssey cars. My friend also has 93 huawei nova 12i mobiles. My friend also has 17 nissan rogue cars. My brother also has 96 kotoes. My father also has 84 iphone 13 mobiles. I also have 16 nissan armada cars (thrilled to have these). I also have 30 huawei nova 13 mobiles (I like these a lot). I also have 65 timpanis (feeling good about this). I also have 83 honda civic cars (happt to have them). My uncle also has 9 bansuris. My aunt also has 49 google (pixel) mobiles. My friend also has 15 harmonicas. I also have 97 toyota tacoma cars (here is why I have these many: initially I had 27 of them, then I lost 25 of them, but then I got another 99 of them, but then I lost 4 of them, so at the end I am left with 97 of them). My father also has 57 clavichords. My mother also has 98 mbiras. My brother also has 48 toyota prius cars. I also have 69 tambourines (feeling great about this). My cousin also has 53 iphone 11 mobiles. My father also has 67 ford edge cars. I also have 64 cellos (feeling great about this). I also have 28 huawei mate x6 mobiles (it is a funny story how I have 28 of them: initially I had 49, then I also got another 70 making it a total of 119, then I got another 24 making it a total of 143, but then I lost 115 of them so eventually I am left with 28 of them now). My grandfather also has 52 zte mobiles. I also have 61 dulcimers (here is why I have these many: initially I had 29 of them, then I lost 15 of them, but then I got another 93 of them, but then I lost 46 of them, so at the end I am left with 61 of them). My friend also has 57 electric cellos. I also have 28 iphone 4 mobiles (hope to have more in the future). I also have 87 honda cr-v cars (it is a funny story how I have 87 of them: initially I had 29, then I also got another 54 making it a total of 83, then I got another 36 making it a total of 119, but then I lost 32 of them so eventually I am left with 87 of them now). I also have 96 honor mobiles (I really like them). My father also has 97 djembes. I also have 13 hyundai elantra cars (received them last week). My sister also has 30 electric pianos. I also have 8 tecno mobiles (they were given to me as a gift). I also have 29 toyota corolla cars (planning to have more in the future). I also have 8 nissan pathfinder cars (received them last month). My grandmother also has 97 iphone 6 mobiles. My cousin also has 21 nissan kicks cars. My aunt also has 83 toyota camry cars. My grandfather also has 29 honda pilot cars. I also have 23 vivo mobiles (planning to have more in the future). I also have 50 huawei pura 70 pro+ mobiles (I really like them). My cousin also has 93 honda prologuq cars. My sister also has 70 realme mobiles. I also have 47 theremins (it is a funny story how I have 47 of them: initially I had 43, then I also got another 81 making it a total of 124, then I got another 50 making it a total of 174, but then I lost 127 of them so eventually I am left with 47 of them now). My uncle also has 54 xylophones. My father also has 35 samsung galaxy a55 mobiles. My grandfather also has 50 toyota c-hr cars. My cousin also has 1 htc mobiles. I also have 44 mazda cx-80 cars (they were given to me as a gift). I also have 11 iphone 16 mobiles (very happy to have them). My grandmother also has 19 nissan leaf cars. I also have 52 clarinets (here is why I have these many: initially I had 35 of them, then I lost 33 of them, but then I got another 97 of them, but then I lost 47 of them, so at the end I am left with 52 of them). I also have 61 nissan sentra cars (thrilled to have these). I also have 73 honda passport cars (it is a funny story how I have 73 of them: initially I had 34, then I also got another 53 making it a total of 87, then I got another 37 making it a total of 124, but then I lost 51 of them so eventually I am left with 73 of them now). My uncle also has 51 huawei pura 70 pro mobiles. My aunt also has 18 tars. I also have 17 dodge challenger cars (I like these a lot). I also have 71 iphone x mobiles (feeling great about this). My grandfather also has 42 huawei nova 12 pro mobiles. I also have 85 toyota rav4 cars (I am in love with them). I also have 53 lutes (happt to have them). I also have 60 blackberry mobiles (feeling great about this). I also have 7 toyota tundra cars (I am in love with them). My grandfather also has 53 tamburas. I also have 91 samsung galaxy m55s mobiles (hope to have more in the future). My sister also has 82 zithers. My grandfather also has 5 huawei pura 70 ultra mobiles. I also have 79 sony mobiles (they were given to me as a gift). My grandfather also has 17 congas. My cousin also has 54 infinix mobiles. My grandfather also has 28 meizu mobiles. My grandmother also has 87 banjoes. My sister also has 30 mandolins. I also have 64 honda cr-z cars (happt to have them). I also have 11 nokia mobiles (it is a funny story how I have 11 of them: initially I had 88, then I also got another 86 making it a total of 174, then I got another 68 making it a total of 242, but then I lost 231 of them so eventually I am left with 11 of them now). I also have 40 samsung galaxy f05 mobiles (here is why I have these many: initially I had 61 of them, then I lost 55 of them, but then I got another 93 of them, but then I lost 59 of them, so at the end I am left with 40 of them).  What is the sum of the total number of cars and mobiles that I have?",
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  {
    "dataset": "bbeh",
    "family": "9e2f22e887a07f31c4a9a8904e9dfa865082ee199dd75dd2803028c083beb9a4",
    "id": "bbeh:object_counting:053",
    "request": "My mother has 78 octopus. My grandfather has 84 nissan altima cars. I have 22 sazzes (it is a funny story how I have 22 of them: initially I had 11, then I also got another 88 making it a total of 99, then I got another 20 making it a total of 119, but then I lost 97 of them so eventually I am left with 22 of them now). I also have 51 koalas (I really like them). My brother has 42 deer. I also have 42 honda hr-v cars (here is why I have these many: initially I had 19 of them, then I lost 10 of them, but then I got another 85 of them, but then I lost 52 of them, so at the end I am left with 42 of them). My sister has 80 lizards. I also have 86 albatross (they are great). My grandmother has 85 ferrets. I also have 54 parrots (it is a funny story how I have 54 of them: initially I had 66, then I also got another 35 making it a total of 101, then I got another 68 making it a total of 169, but then I lost 115 of them so eventually I am left with 54 of them now). I also have 31 mazda cx-5 cars (it is a funny story how I have 31 of them: initially I had 34, then I also got another 13 making it a total of 47, then I got another 50 making it a total of 97, but then I lost 66 of them so eventually I am left with 31 of them now). I also have 30 jeep gladiator cars (here is why I have these many: initially I had 88 of them, then I lost 55 of them, but then I got another 81 of them, but then I lost 84 of them, so at the end I am left with 30 of them). My cousin has 94 balafons. My aunt has 88 prairie dogs. My friend has 45 turkeys. My mother also has 17 walrus. My friend also has 54 honda odyssey cars. My uncle has 98 djembes. My father has 42 honda insight cars. I also have 71 cheetahs (here is why I have these many: initially I had 91 of them, then I lost 62 of them, but then I got another 56 of them, but then I lost 14 of them, so at the end I am left with 71 of them). My brother also has 71 honda civic cars. My mother also has 72 tamburas. My uncle also has 60 orangutans. My grandfather also has 61 subaru outback cars. My cousin also has 88 honda pilot cars. My brother also has 79 macaws. I also have 62 turtles (received them last month). My uncle also has 54 accordions. My mother also has 53 hedgehogs. My aunt also has 86 mice. My friend also has 49 biwas. My sister also has 60 drums. I also have 37 bassoons (I like these a lot). I also have 53 maracas (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 100 of them, but then I lost 49 of them, so at the end I am left with 53 of them). My uncle also has 33 toyota c-hr cars. I also have 79 hyenas (it is a funny story how I have 79 of them: initially I had 25, then I also got another 11 making it a total of 36, then I got another 47 making it a total of 83, but then I lost 4 of them so eventually I am left with 79 of them now). My grandfather also has 20 tambourines. My cousin also has 60 nissan pathfinder cars. I also have 48 salamanders (feeling great about this). My mother also has 12 leopards. I also have 28 subaru impreza cars (here is why I have these many: initially I had 64 of them, then I lost 50 of them, but then I got another 43 of them, but then I lost 29 of them, so at the end I am left with 28 of them). My aunt also has 81 bansuris. I also have 80 kingsnakes (I do not think I need this much). My brother also has 40 electric guitars. My aunt also has 30 llamas. I also have 71 subaru ascent cars (planning to have more in the future). My aunt also has 4 ukuleles. I also have 52 clarinets (here is why I have these many: initially I had 78 of them, then I lost 68 of them, but then I got another 65 of them, but then I lost 23 of them, so at the end I am left with 52 of them). My mother also has 63 mamba snakes. My friend also has 1 mazda cx-3 cars. I also have 66 hyundai santa fe cars (I am in love with them). My grandmother also has 1 lute. My grandfather also has 97 nissan murano cars. I also have 9 rabbits (received them last week). I also have 5 kazoos (it is a funny story how I have 5 of them: initially I had 37, then I also got another 80 making it a total of 117, then I got another 44 making it a total of 161, but then I lost 156 of them so eventually I am left with 5 of them now). My brother also has 31 snails. I also have 37 toyota sienna cars (one day, I will have more of them). I also have 3 honda element cars (it is a funny story how I have 3 of them: initially I had 94, then I also got another 85 making it a total of 179, then I got another 60 making it a total of 239, but then I lost 236 of them so eventually I am left with 3 of them now). My brother also has 82 trombones. My grandmother also has 18 chickens. My mother also has 4 mallards. My cousin also has 25 nissan rogue cars. My brother also has 85 harmonicas. My uncle also has 34 congas. I also have 36 mazda6 cars (it is a funny story how I have 36 of them: initially I had 14, then I also got another 40 making it a total of 54, then I got another 61 making it a total of 115, but then I lost 79 of them so eventually I am left with 36 of them now). My brother also has 19 falcons. My brother also has 41 sharks. My aunt also has 65 volkswagen golf cars. My mother also has 56 bagpipes. My brother also has 82 pipas. I also have 21 tablas (I do not think I need this much). My sister also has 19 nissan armada cars. My aunt also has 64 penguins. I also have 61 gorillas (I like these a lot). I also have 57 harps (I am in love with them). I also have 7 mazda mx-30 cars (it is a funny story how I have 7 of them: initially I had 45, then I also got another 45 making it a total of 90, then I got another 45 making it a total of 135, but then I lost 128 of them so eventually I am left with 7 of them now). I also have 7 bats (here is why I have these many: initially I had 38 of them, then I lost 11 of them, but then I got another 95 of them, but then I lost 115 of them, so at the end I am left with 7 of them). I also have 19 bears (it is a funny story how I have 19 of them: initially I had 80, then I also got another 39 making it a total of 119, then I got another 69 making it a total of 188, but then I lost 169 of them so eventually I am left with 19 of them now). My friend also has 28 bouzoukis. I also have 84 vibraphone, steelpans (feeling great about this). My cousin also has 1 electric cello. My brother also has 88 mazda cx-90 cars. My grandfather also has 65 boa snakes. I also have 65 banjoes (it is a funny story how I have 65 of them: initially I had 34, then I also got another 12 making it a total of 46, then I got another 73 making it a total of 119, but then I lost 54 of them so eventually I am left with 65 of them now). I also have 74 baboons (they were given to me as a gift). My brother also has 12 mazda cx-80 cars. My uncle also has 67 koras. My sister also has 87 oboes. My uncle also has 8 n'gonis. My friend also has 23 glockenspiels. I also have 37 shamisens (here is why I have these many: initially I had 93 of them, then I lost 79 of them, but then I got another 60 of them, but then I lost 37 of them, so at the end I am left with 37 of them). I also have 10 tesla model s cars (thrilled to have these). My friend also has 15 nissan frintier cars. I also have 81 kangaroos (planning to have more in the future). My father also has 61 doves. My mother also has 23 bass guitars. I also have 45 toyota camry cars (here is why I have these many: initially I had 98 of them, then I lost 57 of them, but then I got another 82 of them, but then I lost 78 of them, so at the end I am left with 45 of them).  What is the absolute difference of the total number of animals/insects and musical instruments that I have?",
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  {
    "dataset": "bbeh",
    "family": "b39a8591f35effe3169de0321605ec380060f850177224070599a0be00822a68",
    "id": "bbeh:object_counting:054",
    "request": "I have 60 motorola mobiles (hope to have more in the future). I also have 58 huawei nova 12i mobiles (here is why I have these many: initially I had 74 of them, then I lost 57 of them, but then I got another 62 of them, but then I lost 21 of them, so at the end I am left with 58 of them). I also have 8 durians (here is why I have these many: initially I had 83 of them, then I lost 24 of them, but then I got another 34 of them, but then I lost 85 of them, so at the end I am left with 8 of them). My mother has 13 cotton candy grapes. My brother has 95 rebecs. My cousin has 92 muscat grapes. My grandfather has 45 cherrys. I also have 99 xiaomi mobiles (it is a funny story how I have 99 of them: initially I had 23, then I also got another 21 making it a total of 44, then I got another 82 making it a total of 126, but then I lost 27 of them so eventually I am left with 99 of them now). I also have 35 nokia mobiles (received them last week). My cousin also has 19 plums. I also have 61 autumn royal grapes (received them yesterday). My friend has 99 google (pixel) mobiles. My brother also has 3 clementinefigs. My aunt has 11 lemons. I also have 63 harpsichords (it is a funny story how I have 63 of them: initially I had 29, then I also got another 40 making it a total of 69, then I got another 69 making it a total of 138, but then I lost 75 of them so eventually I am left with 63 of them now). I also have 81 cranberrys (it is a funny story how I have 81 of them: initially I had 83, then I also got another 90 making it a total of 173, then I got another 93 making it a total of 266, but then I lost 185 of them so eventually I am left with 81 of them now). I also have 68 cantaloupes (it is a funny story how I have 68 of them: initially I had 61, then I also got another 23 making it a total of 84, then I got another 16 making it a total of 100, but then I lost 32 of them so eventually I am left with 68 of them now). I also have 13 jackfruits (very happy to have them). My father has 36 grenache grapes. My sister has 46 samsung galaxy a15 mobiles. My brother also has 5 glockenspiels. My grandmother has 47 n'gonis. My brother also has 77 soursops. I also have 86 dates (feeling great about this). I also have 87 clarinets (I do not think I need this much). My sister also has 66 sitars. My brother also has 17 huawei mate 70 mobiles. My cousin also has 20 oneplus mobiles. My grandmother also has 77 saxophones. I also have 39 lg mobiles (it is a funny story how I have 39 of them: initially I had 75, then I also got another 67 making it a total of 142, then I got another 96 making it a total of 238, but then I lost 199 of them so eventually I am left with 39 of them now). I also have 30 koras (I like these a lot). My brother also has 87 jonagold apples. My brother also has 72 sazzes. I also have 5 watermelons (I really like them). My mother also has 96 dulcimers. My grandfather also has 45 iphone 13 mobiles. My cousin also has 74 iphone 8 mobiles. My uncle has 65 samsung galaxy a55 mobiles. I also have 70 djembes (I like these a lot). My sister also has 98 iphone x mobiles. My sister also has 59 pears. My uncle also has 85 french horns. My sister also has 88 peaches. I also have 72 trumpets (it is a funny story how I have 72 of them: initially I had 69, then I also got another 42 making it a total of 111, then I got another 83 making it a total of 194, but then I lost 122 of them so eventually I am left with 72 of them now). My cousin also has 87 tablas. My uncle also has 48 samsung galaxy s24 mobiles. My sister also has 22 samsung galaxy z fold6 mobiles. My grandfather also has 17 banjoes. My father also has 88 huawei pura 70 ultra mobiles. My friend also has 2 ambrosia apples. My cousin also has 87 violins. I also have 67 grapefruits (here is why I have these many: initially I had 35 of them, then I lost 23 of them, but then I got another 61 of them, but then I lost 6 of them, so at the end I am left with 67 of them). I also have 64 samsung galaxy m55s mobiles (it is a funny story how I have 64 of them: initially I had 30, then I also got another 50 making it a total of 80, then I got another 68 making it a total of 148, but then I lost 84 of them so eventually I am left with 64 of them now). My father also has 33 honor mobiles. I also have 78 papayas (it is a funny story how I have 78 of them: initially I had 81, then I also got another 20 making it a total of 101, then I got another 41 making it a total of 142, but then I lost 64 of them so eventually I am left with 78 of them now). I also have 10 envy apples (I am in love with them). I also have 98 honeydews (it is a funny story how I have 98 of them: initially I had 29, then I also got another 32 making it a total of 61, then I got another 79 making it a total of 140, but then I lost 42 of them so eventually I am left with 98 of them now). My mother also has 77 electric guitars. I also have 33 biwas (I really like them). My friend also has 44 huawei pura 70 pro+ mobiles. My uncle also has 52 timpanis. My grandmother also has 79 electric cellos. My cousin also has 75 huawei nova 13 mobiles. My brother also has 90 pianos. My father also has 78 spartan apples. My grandmother also has 17 meizu mobiles. I also have 90 marimbas (I am in love with them). I also have 95 shehnais (it is a funny story how I have 95 of them: initially I had 83, then I also got another 99 making it a total of 182, then I got another 28 making it a total of 210, but then I lost 115 of them so eventually I am left with 95 of them now). I also have 46 iphone 15 mobiles (it is a funny story how I have 46 of them: initially I had 92, then I also got another 91 making it a total of 183, then I got another 33 making it a total of 216, but then I lost 170 of them so eventually I am left with 46 of them now). I also have 70 tamburas (thrilled to have these). I also have 67 persimmons (I do not think I need this much). My sister also has 72 honeycrisp apples. I also have 87 iphone 6 mobiles (it is a funny story how I have 87 of them: initially I had 70, then I also got another 83 making it a total of 153, then I got another 61 making it a total of 214, but then I lost 127 of them so eventually I am left with 87 of them now). My brother also has 67 ouds. My aunt also has 26 iphone 11 mobiles. I also have 64 ocarinas (happt to have them). My mother also has 31 didgeridoos. My friend also has 21 bananas. I also have 83 starfruits (maybe I just need some of them). I also have 65 strawberrys (planning to have more in the future). I also have 18 pennywhistles (it is a funny story how I have 18 of them: initially I had 80, then I also got another 88 making it a total of 168, then I got another 34 making it a total of 202, but then I lost 184 of them so eventually I am left with 18 of them now). I also have 76 huawei nova 11 se mobiles (it is a funny story how I have 76 of them: initially I had 45, then I also got another 56 making it a total of 101, then I got another 28 making it a total of 129, but then I lost 53 of them so eventually I am left with 76 of them now). My cousin also has 62 bongos. I also have 90 plantains (they are great). My father also has 29 merlot grapes. I also have 18 trombones (I really like them). My father also has 82 tecno mobiles. My grandfather also has 7 guzhengs. I also have 27 oppo mobiles (here is why I have these many: initially I had 22 of them, then I lost 18 of them, but then I got another 63 of them, but then I lost 40 of them, so at the end I am left with 27 of them). My uncle also has 30 hammered dulcimers. I also have 85 pineapples (here is why I have these many: initially I had 58 of them, then I lost 35 of them, but then I got another 78 of them, but then I lost 16 of them, so at the end I am left with 85 of them). My friend also has 27 electric drums. I also have 46 harps (it is a funny story how I have 46 of them: initially I had 98, then I also got another 23 making it a total of 121, then I got another 58 making it a total of 179, but then I lost 133 of them so eventually I am left with 46 of them now). My sister also has 45 huawei mate x6 mobiles. My brother also has 98 elderberryoranges. I also have 85 quinces (I am in love with them). My friend also has 81 blackberry mobiles. I also have 9 lutes (one day, I will have more of them). My grandmother also has 82 zithers. I also have 45 bouzoukis (thrilled to have these). My brother also has 61 drums. I also have 18 ginger gold apples (planning to have more in the future). My father also has 96 breadfruits. My grandmother also has 28 electric pianos. My friend also has 86 kiwis. My brother also has 65 tambourines. My friend also has 19 balafons. I also have 13 huawei pura 70 mobiles (they are great). My uncle also has 6 dragonfruits. My uncle also has 5 nebbiolo grapes. My grandmother also has 12 raspberrys. My father also has 60 pinot noir grapes.  What is the absolute difference of the total number of musical instruments and fruits that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "4f9f481b317f4d0b3b5387838a17b10bcefe63f0f5ba14c56337f459a8d91fa4",
    "id": "bbeh:object_counting:057",
    "request": "My uncle has 48 guzhengs. I have 48 nissan ariya cars (here is why I have these many: initially I had 44 of them, then I lost 10 of them, but then I got another 41 of them, but then I lost 27 of them, so at the end I am left with 48 of them). My sister has 42 samsung galaxy m55s mobiles. I also have 84 iphone 8 mobiles (they are great). I also have 61 tamburas (it is a funny story how I have 61 of them: initially I had 45, then I also got another 44 making it a total of 89, then I got another 31 making it a total of 120, but then I lost 59 of them so eventually I am left with 61 of them now). My mother has 48 toyota avalon cars. My father has 32 iphone 12 mobiles. My uncle also has 52 timpanis. My mother also has 59 nissan maxima cars. My aunt has 15 trombones. I also have 70 meizu mobiles (feeling great about this). My mother also has 29 subaru ascent cars. My uncle also has 23 iphone 7 mobiles. My aunt also has 23 honda hr-v cars. I also have 34 huawei nova 12 pro mobiles (received them yesterday). I also have 7 mbiras (they are great). My sister also has 61 sazzes. My brother has 53 nissan armada cars. My uncle also has 53 samsung galaxy f05 mobiles. I also have 33 tesla model s cars (here is why I have these many: initially I had 20 of them, then I lost 14 of them, but then I got another 43 of them, but then I lost 16 of them, so at the end I am left with 33 of them). My aunt also has 50 kia niro cars. I also have 54 honda insight cars (it is a funny story how I have 54 of them: initially I had 93, then I also got another 68 making it a total of 161, then I got another 19 making it a total of 180, but then I lost 126 of them so eventually I am left with 54 of them now). My brother also has 67 trumpets. My brother also has 43 toyota prius cars. I also have 16 accordions (here is why I have these many: initially I had 66 of them, then I lost 24 of them, but then I got another 26 of them, but then I lost 52 of them, so at the end I am left with 16 of them). My cousin has 8 vivo mobiles. My aunt also has 72 zithers. I also have 59 bass guitars (maybe I just need some of them). My grandmother has 20 honda passport cars. I also have 96 nadaswarams (here is why I have these many: initially I had 56 of them, then I lost 32 of them, but then I got another 88 of them, but then I lost 16 of them, so at the end I am left with 96 of them). My brother also has 67 tablas. My cousin also has 56 samsung galaxy a35 mobiles. My mother also has 83 electric guitars. My father also has 92 toyota tundra cars. My grandfather has 47 honda element cars. I also have 86 samsung galaxy c55 mobiles (here is why I have these many: initially I had 78 of them, then I lost 40 of them, but then I got another 100 of them, but then I lost 52 of them, so at the end I am left with 86 of them). My sister also has 70 huawei nova 13 mobiles. I also have 82 harps (here is why I have these many: initially I had 78 of them, then I lost 21 of them, but then I got another 57 of them, but then I lost 32 of them, so at the end I am left with 82 of them). I also have 37 huawei pura 70 pro+ mobiles (I do not think I need this much). I also have 48 iphone 6 mobiles (it is a funny story how I have 48 of them: initially I had 83, then I also got another 55 making it a total of 138, then I got another 66 making it a total of 204, but then I lost 156 of them so eventually I am left with 48 of them now). My grandmother also has 16 huawei nova 12s mobiles. I also have 42 nissan rogue cars (here is why I have these many: initially I had 27 of them, then I lost 21 of them, but then I got another 73 of them, but then I lost 37 of them, so at the end I am left with 42 of them). I also have 51 sony mobiles (they are great). My aunt also has 5 toyota tacoma cars. My uncle also has 18 ocarinas. My aunt also has 95 honda cr-v cars. I also have 74 maracas (here is why I have these many: initially I had 43 of them, then I lost 31 of them, but then I got another 69 of them, but then I lost 7 of them, so at the end I am left with 74 of them). I also have 25 nissan altima cars (here is why I have these many: initially I had 56 of them, then I lost 47 of them, but then I got another 36 of them, but then I lost 20 of them, so at the end I am left with 25 of them). I also have 56 tanpuras (they were given to me as a gift). My father also has 35 google (pixel) mobiles. My friend has 68 iphone 15 mobiles. I also have 5 iphone x mobiles (it is a funny story how I have 5 of them: initially I had 68, then I also got another 38 making it a total of 106, then I got another 66 making it a total of 172, but then I lost 167 of them so eventually I am left with 5 of them now). My aunt also has 89 bagpipes. My brother also has 28 french horns. My mother also has 74 mazda cx-30 cars. My friend also has 70 mazda cx-70 cars. My mother also has 21 nissan pathfinder cars. My grandmother also has 11 huawei mate x6 mobiles. I also have 52 electric drums (here is why I have these many: initially I had 18 of them, then I lost 13 of them, but then I got another 49 of them, but then I lost 2 of them, so at the end I am left with 52 of them). I also have 8 harmonicas (here is why I have these many: initially I had 52 of them, then I lost 12 of them, but then I got another 15 of them, but then I lost 47 of them, so at the end I am left with 8 of them). I also have 99 biwas (received them last month). I also have 57 erhus (here is why I have these many: initially I had 94 of them, then I lost 69 of them, but then I got another 35 of them, but then I lost 3 of them, so at the end I am left with 57 of them). My cousin also has 69 castanets. My cousin also has 5 tars. I also have 19 honda pilot cars (here is why I have these many: initially I had 31 of them, then I lost 18 of them, but then I got another 18 of them, but then I lost 12 of them, so at the end I am left with 19 of them). My grandfather also has 38 honda civic cars. My father also has 38 kalimbas. My mother also has 34 mazda3 cars. My brother also has 29 congas. My grandmother also has 87 shamisens. My father also has 99 toyota camry cars. My grandfather also has 17 iphone 11 mobiles. My father also has 18 koras. My grandfather also has 28 sruti boxes. I also have 8 huawei nova 12i mobiles (feeling great about this).  What is the sum of the total number of mobiles and cars that I have?",
    "response_contract": {
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    "role": "final",
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  {
    "dataset": "bbeh",
    "family": "9e90942c4c0138cf1a96093e1179121c6a591ec5830354cbccda76bd76292a4e",
    "id": "bbeh:object_counting:058",
    "request": "My brother has 11 sony mobiles. I have 33 ferrets (it is a funny story how I have 33 of them: initially I had 83, then I also got another 51 making it a total of 134, then I got another 39 making it a total of 173, but then I lost 140 of them so eventually I am left with 33 of them now). My sister has 40 htc mobiles. My mother has 38 samsung galaxy a35 mobiles. My sister also has 58 huawei nova 12i mobiles. My mother also has 32 cherrys. My brother also has 88 honor mobiles. I also have 26 geese (maybe I just need some of them). My grandfather has 76 hippopotamus. My grandmother has 38 penguins. I also have 90 pigeons (here is why I have these many: initially I had 51 of them, then I lost 11 of them, but then I got another 85 of them, but then I lost 35 of them, so at the end I am left with 90 of them). I also have 97 ambrosia apples (here is why I have these many: initially I had 83 of them, then I lost 18 of them, but then I got another 45 of them, but then I lost 13 of them, so at the end I am left with 97 of them). My father has 22 elderberryoranges. My uncle has 26 samsung galaxy s24 mobiles. I also have 51 jackfruits (it is a funny story how I have 51 of them: initially I had 23, then I also got another 91 making it a total of 114, then I got another 17 making it a total of 131, but then I lost 80 of them so eventually I am left with 51 of them now). My friend has 67 cranberrys. I also have 77 pears (they were given to me as a gift). I also have 70 pinot noir grapes (I really like them). I also have 8 realme mobiles (I do not think I need this much). My sister also has 55 blueberrys. I also have 54 iphone 14 mobiles (it is a funny story how I have 54 of them: initially I had 13, then I also got another 64 making it a total of 77, then I got another 86 making it a total of 163, but then I lost 109 of them so eventually I am left with 54 of them now). I also have 46 samsung galaxy m55s mobiles (thrilled to have these). My grandmother also has 59 gorillas. I also have 34 spartan apples (I am in love with them). My mother also has 76 honeydews. My grandmother also has 56 whales. I also have 44 aardvarks (I am in love with them). My cousin has 81 plums. My mother also has 62 durians. My brother also has 22 grapefruits. I also have 38 seahorses (here is why I have these many: initially I had 59 of them, then I lost 57 of them, but then I got another 79 of them, but then I lost 43 of them, so at the end I am left with 38 of them). I also have 58 xiaomi mobiles (very happy to have them). My sister also has 53 lychees. I also have 16 infinix mobiles (here is why I have these many: initially I had 39 of them, then I lost 35 of them, but then I got another 26 of them, but then I lost 14 of them, so at the end I am left with 16 of them). My father also has 96 huawei pura 70 mobiles. My brother also has 29 clementinefigs. I also have 51 mules (here is why I have these many: initially I had 50 of them, then I lost 33 of them, but then I got another 44 of them, but then I lost 10 of them, so at the end I am left with 51 of them). My cousin also has 1 iphone 13 mobiles. I also have 54 viper snakes (maybe I just need some of them). I also have 55 garter snakes (it is a funny story how I have 55 of them: initially I had 26, then I also got another 79 making it a total of 105, then I got another 73 making it a total of 178, but then I lost 123 of them so eventually I am left with 55 of them now). My uncle also has 92 crabs. My cousin also has 26 boa snakes. I also have 13 elks (hope to have more in the future). My aunt has 68 prairie dogs. I also have 28 merlot grapes (happt to have them). I also have 27 iphone 7 mobiles (it is a funny story how I have 27 of them: initially I had 38, then I also got another 38 making it a total of 76, then I got another 40 making it a total of 116, but then I lost 89 of them so eventually I am left with 27 of them now). I also have 93 bears (I really like them). I also have 23 samsung galaxy c55 mobiles (here is why I have these many: initially I had 47 of them, then I lost 41 of them, but then I got another 89 of them, but then I lost 72 of them, so at the end I am left with 23 of them). My uncle also has 12 huawei mate x6 mobiles. My cousin also has 45 iphone 11 mobiles. I also have 83 vivo mobiles (very happy to have them). My grandfather also has 32 honeycrisp apples. I also have 37 guavas (I like these a lot). My uncle also has 61 narwhals. I also have 54 motorola mobiles (here is why I have these many: initially I had 53 of them, then I lost 38 of them, but then I got another 62 of them, but then I lost 23 of them, so at the end I am left with 54 of them). My sister also has 30 giraffes. My father also has 47 buffaloes. I also have 90 tecno mobiles (feeling great about this). My grandmother also has 98 shrimps. I also have 24 hamsters (here is why I have these many: initially I had 45 of them, then I lost 22 of them, but then I got another 51 of them, but then I lost 50 of them, so at the end I am left with 24 of them). My grandfather also has 51 cheetahs. My grandmother also has 40 iphone 8 mobiles. My father also has 88 stingrays. My cousin also has 40 oppo mobiles. My cousin also has 85 autumn royal grapes. I also have 89 ants (here is why I have these many: initially I had 17 of them, then I lost 14 of them, but then I got another 94 of them, but then I lost 8 of them, so at the end I am left with 89 of them). I also have 86 iphone 16 mobiles (hope to have more in the future). I also have 9 bananas (it is a funny story how I have 9 of them: initially I had 96, then I also got another 31 making it a total of 127, then I got another 13 making it a total of 140, but then I lost 131 of them so eventually I am left with 9 of them now). My aunt also has 27 huawei nova 12 pro mobiles. I also have 91 huawei nova 11 se mobiles (received them yesterday). I also have 9 papayas (here is why I have these many: initially I had 38 of them, then I lost 10 of them, but then I got another 18 of them, but then I lost 37 of them, so at the end I am left with 9 of them). My aunt also has 25 samsung galaxy f05 mobiles. My mother also has 48 ravens. My cousin also has 84 kingsnakes. I also have 91 lg mobiles (feeling great about this). I also have 93 rattlesnakes (received them last week). I also have 48 fuji apples (very happy to have them). I also have 38 apricots (it is a funny story how I have 38 of them: initially I had 100, then I also got another 25 making it a total of 125, then I got another 75 making it a total of 200, but then I lost 162 of them so eventually I am left with 38 of them now). My cousin also has 21 pineapples. My grandfather also has 12 iphone 6 mobiles. My cousin also has 96 reindeer. I also have 59 impalas (it is a funny story how I have 59 of them: initially I had 49, then I also got another 48 making it a total of 97, then I got another 81 making it a total of 178, but then I lost 119 of them so eventually I am left with 59 of them now). I also have 5 huawei pura 70 pro mobiles (thrilled to have these). My mother also has 35 cod.  What is the absolute difference of the total number of animals/insects and fruits that I have?",
    "response_contract": {
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    "role": "final",
    "task": "object_counting"
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  {
    "dataset": "bbeh",
    "family": "c57f50a00525cd4a4a29ee02eaa3c788d788052a99e0d809916f510a23e0d2c4",
    "id": "bbeh:object_counting:061",
    "request": "My father has 80 subaru impreza cars. I have 18 trout (here is why I have these many: initially I had 94 of them, then I lost 51 of them, but then I got another 35 of them, but then I lost 60 of them, so at the end I am left with 18 of them). My aunt has 10 fuji apples. I also have 90 cats (it is a funny story how I have 90 of them: initially I had 87, then I also got another 40 making it a total of 127, then I got another 21 making it a total of 148, but then I lost 58 of them so eventually I am left with 90 of them now). My brother has 72 deer. My father also has 48 grenache grapes. I also have 68 skunks (happt to have them). My uncle has 36 persimmons. My uncle also has 12 jackfruits. My grandfather has 3 nectarines. My cousin has 40 goldfish. I also have 46 subaru outback cars (here is why I have these many: initially I had 61 of them, then I lost 49 of them, but then I got another 57 of them, but then I lost 23 of them, so at the end I am left with 46 of them). My cousin also has 55 gala apples. My friend has 24 clementinefigs. My friend also has 27 nissan maxima cars. I also have 85 honda odyssey cars (planning to have more in the future). I also have 84 honda passport cars (I do not think I need this much). My sister has 78 turkeys. My father also has 13 chickens. I also have 73 chardonnay grapes (here is why I have these many: initially I had 75 of them, then I lost 67 of them, but then I got another 91 of them, but then I lost 26 of them, so at the end I am left with 73 of them). I also have 10 grapefruits (I like these a lot). My grandfather also has 23 plums. My father also has 25 coconuts. My father also has 85 mazda cx-5 cars. I also have 54 blueberrys (here is why I have these many: initially I had 83 of them, then I lost 24 of them, but then I got another 68 of them, but then I lost 73 of them, so at the end I am left with 54 of them). I also have 37 pigs (thrilled to have these). I also have 1 pinot noir grape (it is a funny story how I have 1 of them: initially I had 40, then I also got another 61 making it a total of 101, then I got another 37 making it a total of 138, but then I lost 137 of them so eventually I am left with 1 of them now). My brother also has 83 honda prologuq cars. My grandfather also has 27 papayas. I also have 5 guavas (received them last month). I also have 39 mosquitoes (here is why I have these many: initially I had 72 of them, then I lost 30 of them, but then I got another 100 of them, but then I lost 103 of them, so at the end I am left with 39 of them). My aunt also has 44 mazda2 cars. I also have 85 pears (I really like them). I also have 34 stingrays (it is a funny story how I have 34 of them: initially I had 41, then I also got another 60 making it a total of 101, then I got another 57 making it a total of 158, but then I lost 124 of them so eventually I am left with 34 of them now). My friend also has 63 cows. I also have 68 ducks (I am in love with them). My grandmother has 74 dogs. I also have 30 leopards (planning to have more in the future). I also have 22 cheetahs (they were given to me as a gift). My father also has 19 mazda6 cars. I also have 48 rhinoceros (thrilled to have these). My friend also has 97 cod. I also have 8 toyota sienna cars (I am in love with them). My uncle also has 37 mamba snakes. My brother also has 48 kangaroos. I also have 48 quinces (it is a funny story how I have 48 of them: initially I had 62, then I also got another 64 making it a total of 126, then I got another 99 making it a total of 225, but then I lost 177 of them so eventually I am left with 48 of them now). My grandfather also has 21 raspberrys. My brother also has 57 ambrosia apples. I also have 87 roosters (it is a funny story how I have 87 of them: initially I had 86, then I also got another 20 making it a total of 106, then I got another 56 making it a total of 162, but then I lost 75 of them so eventually I am left with 87 of them now). My brother also has 18 soursops. My grandfather also has 17 pineapples. I also have 37 plantains (here is why I have these many: initially I had 34 of them, then I lost 23 of them, but then I got another 48 of them, but then I lost 22 of them, so at the end I am left with 37 of them). My uncle also has 32 apricots. My aunt also has 39 tesla model s cars. My grandfather also has 23 orangutans. I also have 39 lizards (feeling great about this). I also have 37 nissan frintier cars (received them yesterday). My aunt also has 42 toyota tacoma cars. My cousin also has 72 emus. My cousin also has 32 cotton candy grapes. I also have 49 hamsters (here is why I have these many: initially I had 95 of them, then I lost 79 of them, but then I got another 49 of them, but then I lost 16 of them, so at the end I am left with 49 of them). I also have 78 falcons (they are great). My brother also has 98 buick enclave cars. My friend also has 89 nissan murano cars. I also have 95 hedgehogs (here is why I have these many: initially I had 22 of them, then I lost 10 of them, but then I got another 97 of them, but then I lost 14 of them, so at the end I am left with 95 of them). I also have 85 buffaloes (received them last week). My sister also has 58 nissan rogue cars. I also have 13 nissan kicks cars (here is why I have these many: initially I had 70 of them, then I lost 48 of them, but then I got another 92 of them, but then I lost 101 of them, so at the end I am left with 13 of them). My grandfather also has 14 breadfruits. My brother also has 44 baboons. I also have 30 lions (here is why I have these many: initially I had 19 of them, then I lost 15 of them, but then I got another 44 of them, but then I lost 18 of them, so at the end I am left with 30 of them). I also have 52 chameleons (I do not think I need this much). My mother has 37 lemons. My grandfather also has 71 riesling grapes. My uncle also has 25 lychees. I also have 90 cantaloupes (they were given to me as a gift). My grandfather also has 69 otters. My cousin also has 48 prairie dogs. My mother also has 8 macaws. My aunt also has 1 elk. My sister also has 27 narwhals.  What is the sum of the total number of animals/insects and fruits that I have?",
    "response_contract": {
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    "role": "final",
    "task": "object_counting"
  },
  {
    "dataset": "bbeh",
    "family": "46f5776e9dc65914b4958a9549d88a568c522cd7a7f3378626954517cbaf6211",
    "id": "bbeh:object_counting:064",
    "request": "My friend has 63 hyenas. I have 46 mazda2 cars (it is a funny story how I have 46 of them: initially I had 24, then I also got another 60 making it a total of 84, then I got another 32 making it a total of 116, but then I lost 70 of them so eventually I am left with 46 of them now). I also have 84 ants (I like these a lot). My father has 6 google (pixel) mobiles. My mother has 26 mules. My mother also has 46 turkeys. I also have 50 nissan murano cars (received them last week). My mother also has 85 possums. I also have 77 ravens (it is a funny story how I have 77 of them: initially I had 19, then I also got another 77 making it a total of 96, then I got another 89 making it a total of 185, but then I lost 108 of them so eventually I am left with 77 of them now). My grandmother has 81 mazda cx-5 cars. My sister has 22 oppo mobiles. I also have 68 honda passport cars (thrilled to have these). I also have 33 cobras (it is a funny story how I have 33 of them: initially I had 24, then I also got another 24 making it a total of 48, then I got another 34 making it a total of 82, but then I lost 49 of them so eventually I am left with 33 of them now). I also have 39 python snakes (received them yesterday). I also have 1 crocodile (here is why I have these many: initially I had 23 of them, then I lost 10 of them, but then I got another 36 of them, but then I lost 48 of them, so at the end I am left with 1 of them). My cousin has 56 samsung galaxy m55s mobiles. I also have 21 iphone 11 mobiles (here is why I have these many: initially I had 57 of them, then I lost 28 of them, but then I got another 81 of them, but then I lost 89 of them, so at the end I am left with 21 of them). I also have 67 frogs (received them yesterday). I also have 44 iphone 16 mobiles (received them last week). I also have 39 iguanas (it is a funny story how I have 39 of them: initially I had 55, then I also got another 15 making it a total of 70, then I got another 36 making it a total of 106, but then I lost 67 of them so eventually I am left with 39 of them now). I also have 14 mazda cx-30 cars (feeling good about this). My uncle has 31 nissan pathfinder cars. I also have 64 baboons (it is a funny story how I have 64 of them: initially I had 64, then I also got another 34 making it a total of 98, then I got another 80 making it a total of 178, but then I lost 114 of them so eventually I am left with 64 of them now). I also have 47 honda prologuq cars (it is a funny story how I have 47 of them: initially I had 81, then I also got another 38 making it a total of 119, then I got another 58 making it a total of 177, but then I lost 130 of them so eventually I am left with 47 of them now). My father also has 12 toyota camry cars. My brother has 37 huawei pura 70 pro+ mobiles. I also have 39 iphone 4 mobiles (very happy to have them). I also have 2 toyota c-hr cars (one day, I will have more of them). I also have 78 mazda cx-50 cars (here is why I have these many: initially I had 55 of them, then I lost 41 of them, but then I got another 85 of them, but then I lost 21 of them, so at the end I am left with 78 of them). My father also has 84 vivo mobiles. My mother also has 49 storks. I also have 33 mazda cx-80 cars (here is why I have these many: initially I had 96 of them, then I lost 35 of them, but then I got another 56 of them, but then I lost 84 of them, so at the end I am left with 33 of them). My aunt has 16 oneplus mobiles. I also have 2 honda cr-v cars (here is why I have these many: initially I had 75 of them, then I lost 13 of them, but then I got another 60 of them, but then I lost 120 of them, so at the end I am left with 2 of them). My grandfather has 26 ford edge cars. I also have 11 mazda6 cars (received them last month). My cousin also has 22 honor mobiles. My aunt also has 31 hyundai elantra cars. I also have 94 kia niro cars (feeling great about this). I also have 92 honda pilot cars (it is a funny story how I have 92 of them: initially I had 61, then I also got another 65 making it a total of 126, then I got another 15 making it a total of 141, but then I lost 49 of them so eventually I am left with 92 of them now). I also have 21 nissan armada cars (happt to have them). My sister also has 47 kangaroos. I also have 6 subaru outback cars (it is a funny story how I have 6 of them: initially I had 47, then I also got another 98 making it a total of 145, then I got another 85 making it a total of 230, but then I lost 224 of them so eventually I am left with 6 of them now). I also have 23 toyota sienna cars (here is why I have these many: initially I had 57 of them, then I lost 14 of them, but then I got another 25 of them, but then I lost 45 of them, so at the end I am left with 23 of them). I also have 47 leopards (here is why I have these many: initially I had 26 of them, then I lost 25 of them, but then I got another 50 of them, but then I lost 4 of them, so at the end I am left with 47 of them). My friend also has 75 iphone 15 mobiles. My aunt also has 67 buffaloes. My cousin also has 67 toyota highlander cars. I also have 41 huawei pura 70 mobiles (received them last month). My grandmother also has 73 kingsnakes. My aunt also has 56 huawei nova 12i mobiles. My grandmother also has 34 sony mobiles. My sister also has 19 doves. I also have 57 toyota avalon cars (received them yesterday). My brother also has 30 toyota prius cars. My grandfather also has 85 apes. My aunt also has 30 ferrets. My aunt also has 70 pigs. My brother also has 74 elks. My sister also has 85 samsung galaxy z fold6 mobiles. My friend also has 33 iphone 6 mobiles. My aunt also has 72 samsung galaxy a55 mobiles. I also have 58 samsung galaxy a35 mobiles (it is a funny story how I have 58 of them: initially I had 59, then I also got another 34 making it a total of 93, then I got another 60 making it a total of 153, but then I lost 95 of them so eventually I am left with 58 of them now). My uncle also has 14 honda civic cars. My brother also has 21 huawei pura 70 ultra mobiles. My brother also has 13 shrimps. I also have 60 tecno mobiles (it is a funny story how I have 60 of them: initially I had 90, then I also got another 61 making it a total of 151, then I got another 64 making it a total of 215, but then I lost 155 of them so eventually I am left with 60 of them now). I also have 70 iphone 8 mobiles (here is why I have these many: initially I had 45 of them, then I lost 22 of them, but then I got another 77 of them, but then I lost 30 of them, so at the end I am left with 70 of them). I also have 80 samsung galaxy tab s10 mobiles (they are great). My father also has 44 honda odyssey cars. I also have 56 donkeys (hope to have more in the future). My cousin also has 58 narwhals. My friend also has 52 toyota corolla cars. My grandmother also has 24 audi a6 cars. My grandmother also has 77 turtles. My sister also has 7 iphone 7 mobiles. My sister also has 24 albatross. I also have 15 ponys (received them last month). I also have 54 iphone 5 mobiles (I really like them). My grandmother also has 46 zte mobiles. I also have 8 toyota tundra cars (planning to have more in the future). My grandmother also has 21 marmots. My grandmother also has 57 armadillos. I also have 46 honda cr-z cars (here is why I have these many: initially I had 98 of them, then I lost 61 of them, but then I got another 20 of them, but then I lost 11 of them, so at the end I am left with 46 of them). My friend also has 3 nissan kicks cars. My grandmother also has 28 chinchillas. My father also has 50 buick enclave cars. My cousin also has 41 ducks. My father also has 21 dodge challenger cars. I also have 46 meizu mobiles (it is a funny story how I have 46 of them: initially I had 49, then I also got another 98 making it a total of 147, then I got another 79 making it a total of 226, but then I lost 180 of them so eventually I am left with 46 of them now). My cousin also has 67 foxes. My father also has 7 monkeys. I also have 48 cockroaches (here is why I have these many: initially I had 43 of them, then I lost 16 of them, but then I got another 59 of them, but then I lost 38 of them, so at the end I am left with 48 of them). My sister also has 49 lions. My father also has 75 cows. My grandfather also has 29 mazda mx-30 cars. My sister also has 74 huawei nova 13 mobiles. My uncle also has 3 realme mobiles. I also have 51 penguins (it is a funny story how I have 51 of them: initially I had 35, then I also got another 76 making it a total of 111, then I got another 14 making it a total of 125, but then I lost 74 of them so eventually I am left with 51 of them now). My father also has 83 toyota rav4 cars. I also have 78 black rat snakes (here is why I have these many: initially I had 66 of them, then I lost 57 of them, but then I got another 80 of them, but then I lost 11 of them, so at the end I am left with 78 of them). I also have 5 deer (they are great). I also have 19 vultures (it is a funny story how I have 19 of them: initially I had 46, then I also got another 54 making it a total of 100, then I got another 82 making it a total of 182, but then I lost 163 of them so eventually I am left with 19 of them now). I also have 82 anteaters (I really like them). My cousin also has 76 butterflys. My father also has 70 xiaomi mobiles. I also have 69 pandas (it is a funny story how I have 69 of them: initially I had 87, then I also got another 29 making it a total of 116, then I got another 55 making it a total of 171, but then I lost 102 of them so eventually I am left with 69 of them now). I also have 74 huawei pura 70 pro mobiles (here is why I have these many: initially I had 80 of them, then I lost 38 of them, but then I got another 45 of them, but then I lost 13 of them, so at the end I am left with 74 of them). I also have 1 bee (here is why I have these many: initially I had 60 of them, then I lost 21 of them, but then I got another 64 of them, but then I lost 102 of them, so at the end I am left with 1 of them). My sister also has 91 huawei nova 11 se mobiles. My cousin also has 40 stingrays.  What is the sum of the total number of animals/insects and cars that I have?",
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  {
    "dataset": "bbeh",
    "family": "9db12771c90b668c9bea57c58e3bdc8ccf483402ce57e026612ae94646e92b90",
    "id": "bbeh:object_counting:065",
    "request": "My cousin has 83 samsung galaxy a16 mobiles. I have 70 flutes (hope to have more in the future). I also have 27 lutes (here is why I have these many: initially I had 27 of them, then I lost 14 of them, but then I got another 32 of them, but then I lost 18 of them, so at the end I am left with 27 of them). My grandfather has 59 orangutans. I also have 52 erhus (I like these a lot). I also have 22 huawei pura 70 pro mobiles (they were given to me as a gift). My friend has 35 iphone 4 mobiles. My uncle has 47 honor mobiles. I also have 5 hens (I do not think I need this much). My aunt has 57 iphone 14 mobiles. My father has 41 huawei pura 70 mobiles. My uncle also has 11 giraffes. My cousin also has 94 huawei pura 70 pro+ mobiles. My sister has 89 manatees. I also have 81 tortoises (here is why I have these many: initially I had 33 of them, then I lost 17 of them, but then I got another 74 of them, but then I lost 9 of them, so at the end I am left with 81 of them). I also have 94 samsung galaxy z fold5 mobiles (planning to have more in the future). I also have 51 samsung galaxy a35 mobiles (it is a funny story how I have 51 of them: initially I had 71, then I also got another 79 making it a total of 150, then I got another 33 making it a total of 183, but then I lost 132 of them so eventually I am left with 51 of them now). My brother has 24 iphone 6 mobiles. My friend also has 18 shamisens. My cousin also has 99 iphone 12 mobiles. My grandmother has 35 banjoes. I also have 48 vibraphone, steelpans (I really like them). I also have 20 koras (I do not think I need this much). My brother also has 70 bouzoukis. My friend also has 40 infinix mobiles. I also have 10 pandas (here is why I have these many: initially I had 19 of them, then I lost 14 of them, but then I got another 69 of them, but then I lost 64 of them, so at the end I am left with 10 of them). My uncle also has 16 huawei pura 70 ultra mobiles. My brother also has 83 bagpipes. My grandmother also has 6 samsung galaxy z fold6 mobiles. My cousin also has 62 zebras. I also have 51 anteaters (here is why I have these many: initially I had 79 of them, then I lost 24 of them, but then I got another 82 of them, but then I lost 86 of them, so at the end I am left with 51 of them). I also have 37 opossums (here is why I have these many: initially I had 16 of them, then I lost 15 of them, but then I got another 58 of them, but then I lost 22 of them, so at the end I am left with 37 of them). I also have 4 electric pianos (received them last month). My sister also has 40 dulcimers. My uncle also has 83 koalas. My uncle also has 92 pianos. I also have 18 bears (here is why I have these many: initially I had 34 of them, then I lost 17 of them, but then I got another 50 of them, but then I lost 49 of them, so at the end I am left with 18 of them). I also have 68 cellos (I like these a lot). I also have 64 samsung galaxy m55s mobiles (it is a funny story how I have 64 of them: initially I had 35, then I also got another 78 making it a total of 113, then I got another 18 making it a total of 131, but then I lost 67 of them so eventually I am left with 64 of them now). My friend also has 58 didgeridoos. I also have 62 turkeys (here is why I have these many: initially I had 39 of them, then I lost 36 of them, but then I got another 71 of them, but then I lost 12 of them, so at the end I am left with 62 of them). My friend also has 85 kalimbas. My friend also has 68 bongos. My friend also has 41 huawei nova 13 mobiles. My friend also has 6 salmon. My uncle also has 50 dolphins. My father also has 91 flamingoes. My father also has 82 meizu mobiles. My cousin also has 72 hammered dulcimers. I also have 62 corgis (here is why I have these many: initially I had 72 of them, then I lost 50 of them, but then I got another 76 of them, but then I lost 36 of them, so at the end I am left with 62 of them). I also have 10 french horns (it is a funny story how I have 10 of them: initially I had 41, then I also got another 69 making it a total of 110, then I got another 72 making it a total of 182, but then I lost 172 of them so eventually I am left with 10 of them now). My father also has 60 whales. I also have 57 biwas (received them yesterday). My sister also has 93 cod. My uncle also has 11 pipas. My grandmother also has 58 blackberry mobiles. I also have 17 boars (here is why I have these many: initially I had 32 of them, then I lost 31 of them, but then I got another 48 of them, but then I lost 32 of them, so at the end I am left with 17 of them). My grandfather also has 85 iphone 8 mobiles. My father also has 78 google (pixel) mobiles. My sister also has 42 zte mobiles. My aunt also has 87 tecno mobiles. I also have 94 htc mobiles (received them last month). My cousin also has 81 roosters. I also have 15 balafons (received them last week). My grandmother also has 79 trombones. I also have 18 huawei mate x6 mobiles (here is why I have these many: initially I had 92 of them, then I lost 31 of them, but then I got another 99 of them, but then I lost 142 of them, so at the end I am left with 18 of them). I also have 47 raccoons (it is a funny story how I have 47 of them: initially I had 100, then I also got another 52 making it a total of 152, then I got another 85 making it a total of 237, but then I lost 190 of them so eventually I am left with 47 of them now). My grandmother also has 78 clarinets. My uncle also has 87 ukuleles. My brother also has 60 iphone 15 mobiles. I also have 2 groundhogs (they are great). I also have 9 samsung galaxy s24 mobiles (here is why I have these many: initially I had 97 of them, then I lost 47 of them, but then I got another 63 of them, but then I lost 104 of them, so at the end I am left with 9 of them). My sister also has 14 guitars. I also have 8 garter snakes (here is why I have these many: initially I had 75 of them, then I lost 11 of them, but then I got another 78 of them, but then I lost 134 of them, so at the end I am left with 8 of them). I also have 18 samsung galaxy c55 mobiles (here is why I have these many: initially I had 73 of them, then I lost 45 of them, but then I got another 93 of them, but then I lost 103 of them, so at the end I am left with 18 of them). I also have 34 sharks (here is why I have these many: initially I had 33 of them, then I lost 21 of them, but then I got another 67 of them, but then I lost 45 of them, so at the end I am left with 34 of them). I also have 82 saxophones (received them yesterday). I also have 92 xylophones (it is a funny story how I have 92 of them: initially I had 14, then I also got another 30 making it a total of 44, then I got another 87 making it a total of 131, but then I lost 39 of them so eventually I am left with 92 of them now). My brother also has 17 sazzes. I also have 92 goldfish (it is a funny story how I have 92 of them: initially I had 11, then I also got another 21 making it a total of 32, then I got another 64 making it a total of 96, but then I lost 4 of them so eventually I am left with 92 of them now). I also have 26 drums (here is why I have these many: initially I had 68 of them, then I lost 34 of them, but then I got another 52 of them, but then I lost 60 of them, so at the end I am left with 26 of them). I also have 99 tars (they are great). My aunt also has 42 vultures. My cousin also has 71 huawei nova 12s mobiles. My mother has 61 mamba snakes. My sister also has 29 harmonicas. My sister also has 23 sitars. My cousin also has 22 rhinoceros. My friend also has 82 pigeons. I also have 78 huawei nova 12 pro mobiles (here is why I have these many: initially I had 68 of them, then I lost 11 of them, but then I got another 80 of them, but then I lost 59 of them, so at the end I am left with 78 of them). My uncle also has 91 marmots. I also have 69 bansuris (it is a funny story how I have 69 of them: initially I had 93, then I also got another 11 making it a total of 104, then I got another 87 making it a total of 191, but then I lost 122 of them so eventually I am left with 69 of them now). My sister also has 73 cattles. I also have 36 emus (here is why I have these many: initially I had 45 of them, then I lost 34 of them, but then I got another 48 of them, but then I lost 23 of them, so at the end I am left with 36 of them). My father also has 78 realme mobiles. My father also has 41 geese.  What is the sum of the total number of animals/insects and mobiles that I have?",
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  {
    "dataset": "bbeh",
    "family": "effebcf755c7a2ffcf2353af1618d84e507008f3543dcaa2a98e647b7e38c7bc",
    "id": "bbeh:object_counting:068",
    "request": "My uncle has 70 honda cr-v cars. I have 31 mazda mx-30 cars (here is why I have these many: initially I had 38 of them, then I lost 25 of them, but then I got another 52 of them, but then I lost 34 of them, so at the end I am left with 31 of them). My grandfather has 95 honda insight cars. My mother has 38 swans. My father has 24 honda prologuq cars. I also have 91 pears (I like these a lot). I also have 22 cats (here is why I have these many: initially I had 19 of them, then I lost 15 of them, but then I got another 61 of them, but then I lost 43 of them, so at the end I am left with 22 of them). My sister has 69 hens. I also have 88 jonagold apples (here is why I have these many: initially I had 54 of them, then I lost 28 of them, but then I got another 85 of them, but then I lost 23 of them, so at the end I am left with 88 of them). I also have 79 buick enclave cars (it is a funny story how I have 79 of them: initially I had 70, then I also got another 81 making it a total of 151, then I got another 33 making it a total of 184, but then I lost 105 of them so eventually I am left with 79 of them now). My grandfather also has 67 watermelons. I also have 40 honda hr-v cars (it is a funny story how I have 40 of them: initially I had 30, then I also got another 18 making it a total of 48, then I got another 87 making it a total of 135, but then I lost 95 of them so eventually I am left with 40 of them now). I also have 62 autumn royal grapes (I am in love with them). My friend has 5 volkswagen golf cars. My friend also has 60 hamsters. I also have 55 sharks (it is a funny story how I have 55 of them: initially I had 97, then I also got another 55 making it a total of 152, then I got another 68 making it a total of 220, but then I lost 165 of them so eventually I am left with 55 of them now). My brother has 53 cranberrys. My uncle also has 45 riesling grapes. My grandfather also has 51 hummingbirds. My brother also has 27 plantains. My uncle also has 13 honda odyssey cars. I also have 63 mulberrys (thrilled to have these). I also have 82 elderberryoranges (here is why I have these many: initially I had 54 of them, then I lost 33 of them, but then I got another 81 of them, but then I lost 20 of them, so at the end I am left with 82 of them). My grandmother has 3 coconuts. I also have 2 peaches (I like these a lot). I also have 90 mazda cx-30 cars (here is why I have these many: initially I had 38 of them, then I lost 28 of them, but then I got another 89 of them, but then I lost 9 of them, so at the end I am left with 90 of them). My aunt has 80 nissan leaf cars. My brother also has 66 stingrays. I also have 19 lychees (it is a funny story how I have 19 of them: initially I had 74, then I also got another 90 making it a total of 164, then I got another 55 making it a total of 219, but then I lost 200 of them so eventually I am left with 19 of them now). My uncle also has 22 prairie dogs. My uncle also has 15 viper snakes. My grandfather also has 40 zebras. I also have 15 toads (thrilled to have these). I also have 82 koalas (received them last week). I also have 97 mazda3 cars (I do not think I need this much). My grandfather also has 94 kiwis. My grandmother also has 30 groundhogs. My grandfather also has 69 mangoes. My uncle also has 4 boars. I also have 96 cantaloupes (here is why I have these many: initially I had 66 of them, then I lost 26 of them, but then I got another 68 of them, but then I lost 12 of them, so at the end I am left with 96 of them). I also have 38 rats (feeling great about this). I also have 92 vultures (it is a funny story how I have 92 of them: initially I had 46, then I also got another 80 making it a total of 126, then I got another 13 making it a total of 139, but then I lost 47 of them so eventually I am left with 92 of them now). I also have 82 toyota rav4 cars (it is a funny story how I have 82 of them: initially I had 17, then I also got another 54 making it a total of 71, then I got another 64 making it a total of 135, but then I lost 53 of them so eventually I am left with 82 of them now). My brother also has 44 crows. I also have 77 envy apples (planning to have more in the future). My father also has 87 toyota c-hr cars. I also have 3 jackfruits (I do not think I need this much). My grandmother also has 39 shrews. My friend also has 49 toyota sienna cars. My sister also has 31 goats. I also have 1 audi a6 cars (feeling great about this). I also have 77 nissan kicks cars (here is why I have these many: initially I had 48 of them, then I lost 46 of them, but then I got another 96 of them, but then I lost 21 of them, so at the end I am left with 77 of them). I also have 53 geese (they were given to me as a gift). My friend also has 26 peacocks. I also have 43 hawks (I do not think I need this much). My aunt also has 16 nissan pathfinder cars. My uncle also has 92 nissan rogue cars. My friend also has 64 dodge challenger cars. My cousin has 98 grapefruits. I also have 41 honda accord cars (it is a funny story how I have 41 of them: initially I had 63, then I also got another 33 making it a total of 96, then I got another 63 making it a total of 159, but then I lost 118 of them so eventually I am left with 41 of them now). I also have 77 bananas (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 90 of them, but then I lost 17 of them, so at the end I am left with 77 of them). My father also has 91 dolphins. I also have 71 nissan titan cars (it is a funny story how I have 71 of them: initially I had 63, then I also got another 36 making it a total of 99, then I got another 21 making it a total of 120, but then I lost 49 of them so eventually I am left with 71 of them now). I also have 73 tortoises (they are great). I also have 65 breadfruits (received them last week). My mother also has 4 plums. I also have 69 nissan altima cars (I like these a lot). I also have 78 beavers (I am in love with them). My grandmother also has 22 honda element cars. My uncle also has 49 soursops. I also have 45 cattles (hope to have more in the future). My aunt also has 65 king cobra snakes. My uncle also has 82 nissan ariya cars. My father also has 92 strawberrys. I also have 51 lemons (here is why I have these many: initially I had 41 of them, then I lost 16 of them, but then I got another 85 of them, but then I lost 59 of them, so at the end I am left with 51 of them). My uncle also has 24 narwhals. My mother also has 97 boa snakes. I also have 85 quinces (they were given to me as a gift). My mother also has 61 doves. I also have 46 nectarines (here is why I have these many: initially I had 87 of them, then I lost 26 of them, but then I got another 19 of them, but then I lost 34 of them, so at the end I am left with 46 of them). My mother also has 25 mazda cx-50 cars. I also have 59 mazda cx-90 cars (they were given to me as a gift). My sister also has 56 kia niro cars. My uncle also has 15 baboons. My cousin also has 20 subaru impreza cars. My aunt also has 96 muscat grapes. My grandmother also has 77 sloths. My aunt also has 2 nissan maxima cars. My uncle also has 28 clementinefigs. I also have 64 python snakes (here is why I have these many: initially I had 73 of them, then I lost 37 of them, but then I got another 86 of them, but then I lost 58 of them, so at the end I am left with 64 of them). I also have 53 nissan frintier cars (it is a funny story how I have 53 of them: initially I had 55, then I also got another 97 making it a total of 152, then I got another 42 making it a total of 194, but then I lost 141 of them so eventually I am left with 53 of them now). My friend also has 96 mice. My grandmother also has 85 honda cr-z cars. My brother also has 50 jazz apples. My sister also has 11 ford edge cars. My father also has 20 bees. My mother also has 29 jeep gladiator cars. I also have 31 newts (here is why I have these many: initially I had 96 of them, then I lost 67 of them, but then I got another 27 of them, but then I lost 25 of them, so at the end I am left with 31 of them). My uncle also has 31 manatees. I also have 72 hyundai santa fe cars (I do not think I need this much). My cousin also has 21 orangutans. My friend also has 52 ginger gold apples. My brother also has 61 goldfish. My father also has 90 merlot grapes. I also have 14 honda passport cars (it is a funny story how I have 14 of them: initially I had 81, then I also got another 93 making it a total of 174, then I got another 31 making it a total of 205, but then I lost 191 of them so eventually I am left with 14 of them now). I also have 19 pigs (it is a funny story how I have 19 of them: initially I had 72, then I also got another 10 making it a total of 82, then I got another 63 making it a total of 145, but then I lost 126 of them so eventually I am left with 19 of them now). I also have 29 horses (it is a funny story how I have 29 of them: initially I had 76, then I also got another 39 making it a total of 115, then I got another 62 making it a total of 177, but then I lost 148 of them so eventually I am left with 29 of them now). My cousin also has 88 toyota tundra cars. My grandfather also has 57 grenache grapes. I also have 71 starfruits (I am in love with them). I also have 4 kingsnakes (it is a funny story how I have 4 of them: initially I had 99, then I also got another 69 making it a total of 168, then I got another 39 making it a total of 207, but then I lost 203 of them so eventually I am left with 4 of them now). My uncle also has 47 wolves. My aunt also has 46 cotton candy grapes. My uncle also has 62 camels. My grandmother also has 98 dogs. My brother also has 2 syrah grapes. My brother also has 8 lemurs. I also have 70 toyota tacoma cars (received them last week). My grandfather also has 4 mazda cx-5 cars.  What is the absolute difference of the total number of cars and fruits that I have?",
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  {
    "dataset": "bbeh",
    "family": "25719c89f8c8d2b1561cd5bdec5695d7451944ce86e0a5d57b5b02ae071d5596",
    "id": "bbeh:object_counting:072",
    "request": "My cousin has 94 peaches. My brother has 48 cellos. My cousin also has 21 raspberrys. My mother has 4 recorders. My father has 62 mazda cx-90 cars. My mother also has 98 merlot grapes. My grandfather has 64 electric guitars. I have 36 mangoes (here is why I have these many: initially I had 49 of them, then I lost 33 of them, but then I got another 21 of them, but then I lost 1 of them, so at the end I am left with 36 of them). I also have 48 jazz apples (maybe I just need some of them). I also have 3 nectarines (they are great). My aunt has 77 honda odyssey cars. I also have 79 ford edge cars (it is a funny story how I have 79 of them: initially I had 13, then I also got another 60 making it a total of 73, then I got another 35 making it a total of 108, but then I lost 29 of them so eventually I am left with 79 of them now). My grandmother has 45 timpanis. I also have 2 grenache grapes (it is a funny story how I have 2 of them: initially I had 25, then I also got another 57 making it a total of 82, then I got another 33 making it a total of 115, but then I lost 113 of them so eventually I am left with 2 of them now). My uncle has 39 kotoes. My grandfather also has 3 honda cr-v cars. My uncle also has 83 honda passport cars. My cousin also has 29 electric drums. My father also has 91 toyota prius cars. I also have 22 trombones (here is why I have these many: initially I had 15 of them, then I lost 10 of them, but then I got another 48 of them, but then I lost 31 of them, so at the end I am left with 22 of them). I also have 18 muscat grapes (here is why I have these many: initially I had 16 of them, then I lost 12 of them, but then I got another 87 of them, but then I lost 73 of them, so at the end I am left with 18 of them). I also have 68 shehnais (very happy to have them). I also have 72 toyota sienna cars (here is why I have these many: initially I had 66 of them, then I lost 38 of them, but then I got another 84 of them, but then I lost 40 of them, so at the end I am left with 72 of them). My aunt also has 6 strawberrys. I also have 51 cantaloupes (here is why I have these many: initially I had 96 of them, then I lost 12 of them, but then I got another 39 of them, but then I lost 72 of them, so at the end I am left with 51 of them). I also have 26 vibraphone, steelpans (one day, I will have more of them). I also have 42 nissan murano cars (they were given to me as a gift). I also have 6 persimmons (it is a funny story how I have 6 of them: initially I had 44, then I also got another 62 making it a total of 106, then I got another 69 making it a total of 175, but then I lost 169 of them so eventually I am left with 6 of them now). My brother also has 36 harmonicas. My grandfather also has 53 balafons. I also have 62 tablas (it is a funny story how I have 62 of them: initially I had 30, then I also got another 86 making it a total of 116, then I got another 23 making it a total of 139, but then I lost 77 of them so eventually I am left with 62 of them now). I also have 33 harpsichords (I really like them). I also have 22 blueberrys (it is a funny story how I have 22 of them: initially I had 41, then I also got another 35 making it a total of 76, then I got another 75 making it a total of 151, but then I lost 129 of them so eventually I am left with 22 of them now). I also have 98 nissan maxima cars (one day, I will have more of them). My uncle also has 85 ambrosia apples. My brother also has 83 honda accord cars. My aunt also has 47 lychees. My aunt also has 48 quinces. I also have 25 lemons (thrilled to have these). I also have 4 glockenspiels (feeling great about this). My cousin also has 12 guzhengs. My cousin also has 15 autoharps. My cousin also has 77 mazda2 cars. I also have 94 dodge challenger cars (here is why I have these many: initially I had 84 of them, then I lost 53 of them, but then I got another 88 of them, but then I lost 25 of them, so at the end I am left with 94 of them). My uncle also has 40 honda cr-z cars. My grandfather also has 76 subaru ascent cars. My mother also has 25 mbiras. My grandmother also has 15 dulcimers. I also have 26 toyota 4runnertoyota sequoia cars (it is a funny story how I have 26 of them: initially I had 88, then I also got another 69 making it a total of 157, then I got another 27 making it a total of 184, but then I lost 158 of them so eventually I am left with 26 of them now). My cousin also has 14 nadaswarams. My mother also has 24 riesling grapes. I also have 75 envy apples (received them last week). I also have 83 toyota corolla cars (here is why I have these many: initially I had 31 of them, then I lost 11 of them, but then I got another 65 of them, but then I lost 2 of them, so at the end I am left with 83 of them). My brother also has 44 honda insight cars. My aunt also has 50 mazda cx-80 cars. I also have 24 biwas (planning to have more in the future). My grandmother also has 20 toyota avalon cars. My brother also has 35 sitars. My father also has 60 nissan altima cars. My grandfather also has 58 n'gonis. My cousin also has 89 pinot noir grapes. My friend has 50 fuji apples. My cousin also has 73 nissan armada cars. I also have 9 tambourines (here is why I have these many: initially I had 39 of them, then I lost 19 of them, but then I got another 29 of them, but then I lost 40 of them, so at the end I am left with 9 of them). My aunt also has 90 pears. I also have 78 mazda cx-30 cars (here is why I have these many: initially I had 36 of them, then I lost 31 of them, but then I got another 81 of them, but then I lost 8 of them, so at the end I am left with 78 of them). I also have 21 honeydews (planning to have more in the future). My aunt also has 55 nissan rogue cars. My mother also has 57 bouzoukis. I also have 89 double bass (it is a funny story how I have 89 of them: initially I had 47, then I also got another 83 making it a total of 130, then I got another 91 making it a total of 221, but then I lost 132 of them so eventually I am left with 89 of them now). My brother also has 36 jackfruits. My father also has 15 kalimbas. My grandmother also has 70 bananas. My sister has 58 cotton candy grapes. My friend also has 91 hyundai santa fe cars. My sister also has 65 gala apples. I also have 74 theremins (feeling good about this). My grandfather also has 37 bass guitars. My uncle also has 55 toyota tacoma cars. My aunt also has 83 cranberrys. My cousin also has 18 rebecs. My sister also has 7 breadfruits. I also have 28 nissan pathfinder cars (here is why I have these many: initially I had 28 of them, then I lost 16 of them, but then I got another 50 of them, but then I lost 34 of them, so at the end I am left with 28 of them). My cousin also has 73 oboes. I also have 5 coconuts (I am in love with them). My cousin also has 6 watermelons. I also have 35 pink lady apples (thrilled to have these). I also have 4 castanets (planning to have more in the future). My grandfather also has 59 autumn royal grapes. My friend also has 44 elderberryoranges. My grandmother also has 14 hyundai elantra cars. My mother also has 40 mazda cx-3 cars. My grandmother also has 79 pomegranates. My father also has 36 mazda cx-70 cars. I also have 53 flutes (received them last week). My father also has 66 nissan kicks cars. My aunt also has 89 toyota tundra cars. I also have 94 synthesizer keyboards (here is why I have these many: initially I had 46 of them, then I lost 20 of them, but then I got another 73 of them, but then I lost 5 of them, so at the end I am left with 94 of them). My grandfather also has 53 setars. My cousin also has 11 nissan titan cars. My uncle also has 8 rababs. My friend also has 59 buick enclave cars. I also have 36 electric bass (here is why I have these many: initially I had 73 of them, then I lost 55 of them, but then I got another 56 of them, but then I lost 38 of them, so at the end I am left with 36 of them). My friend also has 42 french horns. My father also has 54 apricots. I also have 32 volkswagen golf cars (it is a funny story how I have 32 of them: initially I had 68, then I also got another 52 making it a total of 120, then I got another 74 making it a total of 194, but then I lost 162 of them so eventually I am left with 32 of them now). I also have 94 ginger gold apples (happt to have them).  What is the absolute difference of the total number of fruits and musical instruments that I have?",
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  {
    "dataset": "bbeh",
    "family": "686daf473bb6b0c986bdfe456ceaa232e5ef4af4b83089e8ad34fff69da021d4",
    "id": "bbeh:object_counting:075",
    "request": "My friend has 92 mazda3 cars. My uncle has 9 honda odyssey cars. I have 48 pigeons (I am in love with them). My friend also has 36 blackberry mobiles. My sister has 13 toyota tacoma cars. My grandmother has 31 ants. I also have 38 cats (I am in love with them). My aunt has 31 iphone 13 mobiles. I also have 32 honor mobiles (thrilled to have these). My brother has 9 motorola mobiles. My father has 49 antelopes. My friend also has 89 iphone 4 mobiles. I also have 53 gorillas (here is why I have these many: initially I had 54 of them, then I lost 47 of them, but then I got another 92 of them, but then I lost 46 of them, so at the end I am left with 53 of them). I also have 40 nissan altima cars (it is a funny story how I have 40 of them: initially I had 52, then I also got another 58 making it a total of 110, then I got another 48 making it a total of 158, but then I lost 118 of them so eventually I am left with 40 of them now). My uncle also has 44 nissan armada cars. My mother has 78 samsung galaxy f05 mobiles. My aunt also has 61 oppo mobiles. My cousin has 22 nissan sentra cars. I also have 55 honda prologuq cars (received them last week). I also have 45 toyota sienna cars (here is why I have these many: initially I had 28 of them, then I lost 19 of them, but then I got another 89 of them, but then I lost 53 of them, so at the end I am left with 45 of them). I also have 62 samsung galaxy tab s10 mobiles (received them yesterday). My sister also has 78 nissan titan cars. I also have 23 subaru ascent cars (maybe I just need some of them). My friend also has 44 salamanders. My brother also has 70 badgers. I also have 96 meizu mobiles (here is why I have these many: initially I had 52 of them, then I lost 49 of them, but then I got another 99 of them, but then I lost 6 of them, so at the end I am left with 96 of them). I also have 25 iphone 15 mobiles (feeling great about this). My grandmother also has 15 honda element cars. My cousin also has 60 honda pilot cars. I also have 23 mazda cx-90 cars (it is a funny story how I have 23 of them: initially I had 73, then I also got another 54 making it a total of 127, then I got another 79 making it a total of 206, but then I lost 183 of them so eventually I am left with 23 of them now). My friend also has 44 samsung galaxy z fold5 mobiles. My mother also has 20 nissan kicks cars. My brother also has 97 toyota corolla cars. My uncle also has 21 llamas. My cousin also has 32 hyundai elantra cars. I also have 61 manatees (here is why I have these many: initially I had 89 of them, then I lost 87 of them, but then I got another 98 of them, but then I lost 39 of them, so at the end I am left with 61 of them). My aunt also has 68 iphone 14 mobiles. My sister also has 49 apes. My mother also has 97 huawei pura 70 pro+ mobiles. I also have 91 ponys (I am in love with them). I also have 82 mazda cx-30 cars (it is a funny story how I have 82 of them: initially I had 59, then I also got another 56 making it a total of 115, then I got another 29 making it a total of 144, but then I lost 62 of them so eventually I am left with 82 of them now). I also have 10 mazda6 cars (I am in love with them). My father also has 61 toyota avalon cars. My brother also has 37 guinea pigs. My grandmother also has 94 ferrets. I also have 75 toyota camry cars (I am in love with them). I also have 1 toyota rav4 cars (here is why I have these many: initially I had 53 of them, then I lost 20 of them, but then I got another 45 of them, but then I lost 77 of them, so at the end I am left with 1 of them). My uncle also has 22 toyota highlander cars. My grandfather has 12 hamsters. I also have 57 iphone 5 mobiles (it is a funny story how I have 57 of them: initially I had 20, then I also got another 100 making it a total of 120, then I got another 13 making it a total of 133, but then I lost 76 of them so eventually I am left with 57 of them now). My aunt also has 56 subaru impreza cars. I also have 71 samsung galaxy s24 mobiles (received them yesterday). I also have 66 octopus (I like these a lot). My friend also has 17 huawei nova 13 mobiles. I also have 94 zte mobiles (it is a funny story how I have 94 of them: initially I had 35, then I also got another 19 making it a total of 54, then I got another 59 making it a total of 113, but then I lost 19 of them so eventually I am left with 94 of them now). I also have 46 seahorses (thrilled to have these). I also have 55 vivo mobiles (they are great). My uncle also has 68 huawei pura 70 pro mobiles. I also have 81 koalas (it is a funny story how I have 81 of them: initially I had 82, then I also got another 43 making it a total of 125, then I got another 62 making it a total of 187, but then I lost 106 of them so eventually I am left with 81 of them now). My cousin also has 49 snails. My cousin also has 49 bats. My friend also has 78 nokia mobiles. My aunt also has 94 zebras. My grandmother also has 7 huawei nova 12i mobiles. My mother also has 27 magpies. I also have 8 cod (it is a funny story how I have 8 of them: initially I had 97, then I also got another 33 making it a total of 130, then I got another 38 making it a total of 168, but then I lost 160 of them so eventually I am left with 8 of them now). I also have 35 honda cr-v cars (it is a funny story how I have 35 of them: initially I had 10, then I also got another 63 making it a total of 73, then I got another 43 making it a total of 116, but then I lost 81 of them so eventually I am left with 35 of them now). I also have 6 huawei nova 11 se mobiles (here is why I have these many: initially I had 33 of them, then I lost 12 of them, but then I got another 21 of them, but then I lost 36 of them, so at the end I am left with 6 of them). My cousin also has 26 hummingbirds. My father also has 18 mazda cx-5 cars. I also have 58 parrots (received them yesterday). My brother also has 11 honda passport cars. I also have 70 elephants (I do not think I need this much). My sister also has 51 subaru outback cars. I also have 33 tecno mobiles (they are great). My father also has 72 honda insight cars. I also have 61 dodge challenger cars (thrilled to have these). I also have 58 iphone 16 mobiles (here is why I have these many: initially I had 14 of them, then I lost 11 of them, but then I got another 71 of them, but then I lost 16 of them, so at the end I am left with 58 of them). I also have 87 mallards (I do not think I need this much). My mother also has 65 kia niro cars. My grandmother also has 3 nissan rogue cars. My grandmother also has 36 mazda2 cars. My grandmother also has 14 audi a6 cars. I also have 89 samsung galaxy c55 mobiles (hope to have more in the future). I also have 61 sharks (feeling good about this). I also have 87 tesla model s cars (here is why I have these many: initially I had 42 of them, then I lost 10 of them, but then I got another 86 of them, but then I lost 31 of them, so at the end I am left with 87 of them). I also have 15 ford edge cars (planning to have more in the future). I also have 44 xiaomi mobiles (it is a funny story how I have 44 of them: initially I had 95, then I also got another 48 making it a total of 143, then I got another 88 making it a total of 231, but then I lost 187 of them so eventually I am left with 44 of them now). My uncle also has 12 iphone 12 mobiles. My sister also has 3 honda accord cars. My aunt also has 55 huawei nova 12 pro mobiles. I also have 85 cobras (here is why I have these many: initially I had 69 of them, then I lost 68 of them, but then I got another 89 of them, but then I lost 5 of them, so at the end I am left with 85 of them). I also have 61 iphone 11 mobiles (I am in love with them). I also have 38 mules (here is why I have these many: initially I had 18 of them, then I lost 17 of them, but then I got another 71 of them, but then I lost 34 of them, so at the end I am left with 38 of them). My grandfather also has 95 nissan ariya cars. My sister also has 70 fish. My grandfather also has 56 penguins. My brother also has 86 chickens. My mother also has 50 google (pixel) mobiles. My brother also has 24 wolves. My father also has 39 nissan pathfinder cars.  What is the absolute difference of the total number of cars and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "2705aa10f1613ef319e25cba91ebe1572998e1f081cff7ee4f4c226f94a9580a",
    "id": "bbeh:object_counting:077",
    "request": "I have 58 iphone 6 mobiles (here is why I have these many: initially I had 57 of them, then I lost 12 of them, but then I got another 42 of them, but then I lost 29 of them, so at the end I am left with 58 of them). My father has 36 iguanas. I also have 79 honda cr-z cars (maybe I just need some of them). My friend has 3 subaru impreza cars. My uncle has 50 toyota rav4 cars. My aunt has 61 vultures. I also have 69 mazda cx-3 cars (I am in love with them). My uncle also has 39 nissan leaf cars. I also have 45 google (pixel) mobiles (it is a funny story how I have 45 of them: initially I had 59, then I also got another 41 making it a total of 100, then I got another 88 making it a total of 188, but then I lost 143 of them so eventually I am left with 45 of them now). My sister has 82 huawei nova 11 se mobiles. I also have 98 orangutans (it is a funny story how I have 98 of them: initially I had 16, then I also got another 16 making it a total of 32, then I got another 91 making it a total of 123, but then I lost 25 of them so eventually I am left with 98 of them now). My friend also has 67 samsung galaxy z fold6 mobiles. I also have 1 viper snake (they were given to me as a gift). My friend also has 55 honda hr-v cars. I also have 6 samsung galaxy a35 mobiles (it is a funny story how I have 6 of them: initially I had 58, then I also got another 43 making it a total of 101, then I got another 39 making it a total of 140, but then I lost 134 of them so eventually I am left with 6 of them now). My uncle also has 45 honda civic cars. I also have 66 boars (it is a funny story how I have 66 of them: initially I had 43, then I also got another 25 making it a total of 68, then I got another 25 making it a total of 93, but then I lost 27 of them so eventually I am left with 66 of them now). I also have 64 guinea pigs (it is a funny story how I have 64 of them: initially I had 16, then I also got another 16 making it a total of 32, then I got another 62 making it a total of 94, but then I lost 30 of them so eventually I am left with 64 of them now). My grandfather has 9 kingsnakes. My uncle also has 51 buick enclave cars. My mother has 15 honda prologuq cars. My cousin has 11 nissan pathfinder cars. My mother also has 7 black rat snakes. My grandmother has 42 dodge challenger cars. I also have 42 toyota 4runnertoyota sequoia cars (very happy to have them). My sister also has 46 samsung galaxy s24 mobiles. I also have 59 nissan kicks cars (here is why I have these many: initially I had 91 of them, then I lost 75 of them, but then I got another 49 of them, but then I lost 6 of them, so at the end I am left with 59 of them). My aunt also has 43 bats. I also have 94 doves (received them yesterday). I also have 2 iphone x mobiles (here is why I have these many: initially I had 69 of them, then I lost 17 of them, but then I got another 82 of them, but then I lost 132 of them, so at the end I am left with 2 of them). I also have 53 zte mobiles (it is a funny story how I have 53 of them: initially I had 53, then I also got another 82 making it a total of 135, then I got another 56 making it a total of 191, but then I lost 138 of them so eventually I am left with 53 of them now). I also have 7 pigs (one day, I will have more of them). My father also has 9 peacocks. My mother also has 27 dogs. I also have 66 toyota avalon cars (here is why I have these many: initially I had 26 of them, then I lost 17 of them, but then I got another 87 of them, but then I lost 30 of them, so at the end I am left with 66 of them). I also have 10 infinix mobiles (it is a funny story how I have 10 of them: initially I had 30, then I also got another 21 making it a total of 51, then I got another 64 making it a total of 115, but then I lost 105 of them so eventually I am left with 10 of them now). My brother has 64 nissan armada cars. My aunt also has 67 geese. I also have 76 mazda3 cars (hope to have more in the future). My mother also has 30 mazda cx-50 cars. I also have 5 nokia mobiles (it is a funny story how I have 5 of them: initially I had 67, then I also got another 67 making it a total of 134, then I got another 74 making it a total of 208, but then I lost 203 of them so eventually I am left with 5 of them now). My mother also has 98 mazda cx-30 cars. My grandmother also has 4 nissan rogue cars. I also have 2 honor mobiles (maybe I just need some of them). My grandmother also has 30 nissan altima cars. My aunt also has 54 giraffes. My aunt also has 58 seahorses. My sister also has 60 zebras. My aunt also has 32 rats. I also have 90 rabbits (they are great). I also have 50 ferrets (it is a funny story how I have 50 of them: initially I had 56, then I also got another 22 making it a total of 78, then I got another 80 making it a total of 158, but then I lost 108 of them so eventually I am left with 50 of them now). My cousin also has 52 otters. My friend also has 93 iphone 7 mobiles. I also have 72 mazda2 cars (happt to have them). My mother also has 14 toyota corolla cars. I also have 4 kia niro cars (they were given to me as a gift). My grandmother also has 66 lg mobiles. My grandmother also has 10 samsung galaxy a15 mobiles. My uncle also has 82 mazda6 cars. My aunt also has 22 nissan murano cars. My grandmother also has 27 toyota c-hr cars. I also have 44 motorola mobiles (I do not think I need this much). I also have 38 alpacas (it is a funny story how I have 38 of them: initially I had 92, then I also got another 14 making it a total of 106, then I got another 65 making it a total of 171, but then I lost 133 of them so eventually I am left with 38 of them now). My friend also has 63 subaru outback cars. My mother also has 6 honda insight cars. My grandfather also has 31 iphone 5 mobiles. I also have 57 jeep gladiator cars (it is a funny story how I have 57 of them: initially I had 26, then I also got another 16 making it a total of 42, then I got another 95 making it a total of 137, but then I lost 80 of them so eventually I am left with 57 of them now). I also have 71 huawei pura 70 pro mobiles (it is a funny story how I have 71 of them: initially I had 89, then I also got another 32 making it a total of 121, then I got another 77 making it a total of 198, but then I lost 127 of them so eventually I am left with 71 of them now). My grandmother also has 76 volkswagen golf cars. I also have 11 iphone 15 mobiles (I am in love with them). I also have 89 turtles (here is why I have these many: initially I had 88 of them, then I lost 84 of them, but then I got another 100 of them, but then I lost 15 of them, so at the end I am left with 89 of them). I also have 51 walrus (it is a funny story how I have 51 of them: initially I had 13, then I also got another 92 making it a total of 105, then I got another 85 making it a total of 190, but then I lost 139 of them so eventually I am left with 51 of them now). I also have 5 mazda cx-80 cars (received them last week). I also have 73 tecno mobiles (here is why I have these many: initially I had 96 of them, then I lost 75 of them, but then I got another 95 of them, but then I lost 43 of them, so at the end I am left with 73 of them). My father also has 31 monkeys. I also have 24 realme mobiles (here is why I have these many: initially I had 46 of them, then I lost 31 of them, but then I got another 97 of them, but then I lost 88 of them, so at the end I am left with 24 of them). I also have 28 canarys (here is why I have these many: initially I had 52 of them, then I lost 46 of them, but then I got another 68 of them, but then I lost 46 of them, so at the end I am left with 28 of them). I also have 47 hyenas (here is why I have these many: initially I had 32 of them, then I lost 29 of them, but then I got another 86 of them, but then I lost 42 of them, so at the end I am left with 47 of them). My cousin also has 24 huawei pura 70 ultra mobiles. I also have 12 iphone 4 mobiles (they are great). I also have 25 iphone 16 mobiles (they are great). My friend also has 36 honda cr-v cars. I also have 27 cobras (it is a funny story how I have 27 of them: initially I had 81, then I also got another 22 making it a total of 103, then I got another 44 making it a total of 147, but then I lost 120 of them so eventually I am left with 27 of them now). My father also has 81 magpies. I also have 24 python snakes (they were given to me as a gift). My brother also has 74 huawei pura 70 mobiles. My aunt also has 54 ladybugs. My friend also has 82 vivo mobiles. I also have 15 xiaomi mobiles (thrilled to have these). My grandmother also has 67 hyundai elantra cars. I also have 99 flys (thrilled to have these). I also have 79 crabs (happt to have them). My brother also has 27 apes. I also have 22 iphone 14 mobiles (received them last week). I also have 59 yaks (here is why I have these many: initially I had 19 of them, then I lost 18 of them, but then I got another 92 of them, but then I lost 34 of them, so at the end I am left with 59 of them). I also have 64 huawei nova 12s mobiles (thrilled to have these). My grandmother also has 82 octopus. My grandmother also has 65 subaru ascent cars. I also have 76 stingrays (I like these a lot). I also have 91 donkeys (I like these a lot). My sister also has 46 samsung galaxy tab s10 mobiles.  What is the sum of the total number of animals/insects and mobiles that I have?",
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  {
    "dataset": "bbeh",
    "family": "0752718ecf80f18d0e86e48976e067bd7a64c6218e0614439e9cfdcac36f9fc8",
    "id": "bbeh:object_counting:078",
    "request": "My brother has 28 tars. My mother has 97 nissan ariya cars. My uncle has 59 meizu mobiles. I have 90 guitars (it is a funny story how I have 90 of them: initially I had 51, then I also got another 86 making it a total of 137, then I got another 13 making it a total of 150, but then I lost 60 of them so eventually I am left with 90 of them now). My grandfather has 38 audi a6 cars. My sister has 62 mazda6 cars. I also have 29 huawei nova 13 mobiles (I like these a lot). My grandfather also has 96 jeep gladiator cars. My friend has 52 sony mobiles. My father has 5 volkswagen golf cars. My mother also has 26 toyota c-hr cars. My brother also has 2 samsung galaxy m55s mobiles. My sister also has 20 nissan altima cars. I also have 14 recorders (received them last week). I also have 58 mazda cx-5 cars (here is why I have these many: initially I had 29 of them, then I lost 25 of them, but then I got another 79 of them, but then I lost 25 of them, so at the end I am left with 58 of them). My cousin has 23 iphone 15 mobiles. I also have 23 blackberry mobiles (they are great). I also have 45 nissan frintier cars (maybe I just need some of them). I also have 54 honda passport cars (it is a funny story how I have 54 of them: initially I had 29, then I also got another 41 making it a total of 70, then I got another 54 making it a total of 124, but then I lost 70 of them so eventually I am left with 54 of them now). I also have 25 mazda cx-90 cars (happt to have them). My aunt has 14 honda hr-v cars. I also have 5 nissan maxima cars (it is a funny story how I have 5 of them: initially I had 53, then I also got another 26 making it a total of 79, then I got another 12 making it a total of 91, but then I lost 86 of them so eventually I am left with 5 of them now). I also have 70 dodge challenger cars (feeling good about this). I also have 96 balafons (very happy to have them). My father also has 26 shamisens. My grandmother has 21 iphone 6 mobiles. My uncle also has 2 huawei mate 70 mobiles. I also have 78 toyota 4runnertoyota sequoia cars (here is why I have these many: initially I had 36 of them, then I lost 30 of them, but then I got another 75 of them, but then I lost 3 of them, so at the end I am left with 78 of them). My sister also has 30 huawei pura 70 pro+ mobiles. I also have 81 koras (it is a funny story how I have 81 of them: initially I had 18, then I also got another 52 making it a total of 70, then I got another 83 making it a total of 153, but then I lost 72 of them so eventually I am left with 81 of them now). I also have 48 nissan pathfinder cars (it is a funny story how I have 48 of them: initially I had 85, then I also got another 51 making it a total of 136, then I got another 79 making it a total of 215, but then I lost 167 of them so eventually I am left with 48 of them now). My brother also has 77 theremins. I also have 67 toyota camry cars (I do not think I need this much). My aunt also has 87 huawei nova 11 se mobiles. My grandfather also has 59 setars. I also have 21 samsung galaxy a55 mobiles (I am in love with them). I also have 55 hammered dulcimers (they are great). My cousin also has 65 samsung galaxy a16 mobiles. I also have 73 zithers (received them last week). I also have 80 realme mobiles (it is a funny story how I have 80 of them: initially I had 25, then I also got another 71 making it a total of 96, then I got another 42 making it a total of 138, but then I lost 58 of them so eventually I am left with 80 of them now). I also have 78 biwas (hope to have more in the future). I also have 40 toyota corolla cars (one day, I will have more of them). I also have 29 lg mobiles (it is a funny story how I have 29 of them: initially I had 81, then I also got another 16 making it a total of 97, then I got another 97 making it a total of 194, but then I lost 165 of them so eventually I am left with 29 of them now). My brother also has 1 iphone 16 mobiles. My cousin also has 92 bansuris. My friend also has 20 organs. I also have 42 maracas (feeling great about this). My sister also has 8 htc mobiles. I also have 71 mridangams (here is why I have these many: initially I had 14 of them, then I lost 13 of them, but then I got another 81 of them, but then I lost 11 of them, so at the end I am left with 71 of them). My grandfather also has 53 subaru outback cars. My father also has 85 hyundai santa fe cars. My grandfather also has 56 honda insight cars. I also have 92 samsung galaxy c55 mobiles (here is why I have these many: initially I had 49 of them, then I lost 21 of them, but then I got another 97 of them, but then I lost 33 of them, so at the end I am left with 92 of them). My sister also has 46 honda pilot cars. I also have 5 toyota tacoma cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 37 of them, but then I lost 33 of them, so at the end I am left with 5 of them). My uncle also has 97 mazda cx-70 cars. My friend also has 98 kia niro cars. My sister also has 72 electric cellos. My sister also has 31 electric pianos. I also have 48 flutes (it is a funny story how I have 48 of them: initially I had 66, then I also got another 42 making it a total of 108, then I got another 36 making it a total of 144, but then I lost 96 of them so eventually I am left with 48 of them now). I also have 7 kotoes (it is a funny story how I have 7 of them: initially I had 82, then I also got another 100 making it a total of 182, then I got another 74 making it a total of 256, but then I lost 249 of them so eventually I am left with 7 of them now). I also have 99 motorola mobiles (I like these a lot). My friend also has 65 iphone 11 mobiles. I also have 55 rebecs (it is a funny story how I have 55 of them: initially I had 47, then I also got another 59 making it a total of 106, then I got another 63 making it a total of 169, but then I lost 114 of them so eventually I am left with 55 of them now). My grandfather also has 91 toyota tundra cars. My friend also has 94 iphone 4 mobiles. I also have 49 samsung galaxy tab s10 mobiles (here is why I have these many: initially I had 57 of them, then I lost 19 of them, but then I got another 80 of them, but then I lost 69 of them, so at the end I am left with 49 of them). I also have 22 bagpipes (here is why I have these many: initially I had 46 of them, then I lost 15 of them, but then I got another 13 of them, but then I lost 22 of them, so at the end I am left with 22 of them). I also have 73 nissan rogue cars (here is why I have these many: initially I had 58 of them, then I lost 35 of them, but then I got another 73 of them, but then I lost 23 of them, so at the end I am left with 73 of them). I also have 9 honda cr-z cars (here is why I have these many: initially I had 63 of them, then I lost 22 of them, but then I got another 53 of them, but then I lost 85 of them, so at the end I am left with 9 of them). I also have 69 mandolins (planning to have more in the future). I also have 42 rababs (here is why I have these many: initially I had 90 of them, then I lost 50 of them, but then I got another 29 of them, but then I lost 27 of them, so at the end I am left with 42 of them). My sister also has 80 electric violins. My father also has 71 huawei nova 12s mobiles. My grandfather also has 52 lutes. My sister also has 69 nissan titan cars. I also have 70 trumpets (very happy to have them). My sister also has 16 clavichords. I also have 51 harmonicas (feeling great about this). I also have 10 banjoes (here is why I have these many: initially I had 50 of them, then I lost 46 of them, but then I got another 85 of them, but then I lost 79 of them, so at the end I am left with 10 of them). My father also has 49 nissan armada cars.  What is the absolute difference of the total number of cars and mobiles that I have?",
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  {
    "dataset": "bbeh",
    "family": "11ec08987d7ccc7c86034896708cd583e2a03ff1e0aaf17b634fd6ee0a4c25ed",
    "id": "bbeh:object_counting:081",
    "request": "My grandmother has 92 nebbiolo grapes. My mother has 68 llamas. My mother also has 82 mallards. I have 71 chameleons (it is a funny story how I have 71 of them: initially I had 77, then I also got another 31 making it a total of 108, then I got another 32 making it a total of 140, but then I lost 69 of them so eventually I am left with 71 of them now). I also have 64 recorders (it is a funny story how I have 64 of them: initially I had 77, then I also got another 73 making it a total of 150, then I got another 71 making it a total of 221, but then I lost 157 of them so eventually I am left with 64 of them now). My sister has 13 timpanis. My cousin has 85 buffaloes. My friend has 49 clementinefigs. I also have 20 glockenspiels (here is why I have these many: initially I had 42 of them, then I lost 40 of them, but then I got another 69 of them, but then I lost 51 of them, so at the end I am left with 20 of them). My sister also has 88 crows. My sister also has 74 black rat snakes. I also have 4 maracas (received them last month). My father has 88 bagpipes. My uncle has 48 mbiras. My aunt has 10 raspberrys. I also have 32 honeydews (they were given to me as a gift). My father also has 30 marmots. I also have 65 quails (it is a funny story how I have 65 of them: initially I had 19, then I also got another 27 making it a total of 46, then I got another 52 making it a total of 98, but then I lost 33 of them so eventually I am left with 65 of them now). I also have 80 lemons (it is a funny story how I have 80 of them: initially I had 13, then I also got another 60 making it a total of 73, then I got another 42 making it a total of 115, but then I lost 35 of them so eventually I am left with 80 of them now). My friend also has 7 groundhogs. I also have 37 elderberryoranges (here is why I have these many: initially I had 76 of them, then I lost 61 of them, but then I got another 28 of them, but then I lost 6 of them, so at the end I am left with 37 of them). I also have 52 cotton candy grapes (I am in love with them). I also have 75 komodo dragons (here is why I have these many: initially I had 31 of them, then I lost 23 of them, but then I got another 79 of them, but then I lost 12 of them, so at the end I am left with 75 of them). I also have 57 trout (it is a funny story how I have 57 of them: initially I had 43, then I also got another 71 making it a total of 114, then I got another 85 making it a total of 199, but then I lost 142 of them so eventually I am left with 57 of them now). I also have 81 breadfruits (it is a funny story how I have 81 of them: initially I had 42, then I also got another 41 making it a total of 83, then I got another 68 making it a total of 151, but then I lost 70 of them so eventually I am left with 81 of them now). I also have 27 flys (it is a funny story how I have 27 of them: initially I had 58, then I also got another 51 making it a total of 109, then I got another 67 making it a total of 176, but then I lost 149 of them so eventually I am left with 27 of them now). I also have 7 muscat grapes (it is a funny story how I have 7 of them: initially I had 32, then I also got another 74 making it a total of 106, then I got another 59 making it a total of 165, but then I lost 158 of them so eventually I am left with 7 of them now). My brother has 92 electric violins. My father also has 62 cod. My cousin also has 63 bongos. I also have 90 biwas (very happy to have them). My grandfather has 72 salmon. I also have 58 zebras (feeling great about this). I also have 33 chickens (very happy to have them). My mother also has 7 dragonfruits. I also have 87 badgers (received them last week). My mother also has 65 clarinets. I also have 21 beavers (very happy to have them). I also have 90 sitars (here is why I have these many: initially I had 53 of them, then I lost 19 of them, but then I got another 66 of them, but then I lost 10 of them, so at the end I am left with 90 of them). I also have 46 tambourines (received them yesterday). I also have 32 panpipes (here is why I have these many: initially I had 17 of them, then I lost 13 of them, but then I got another 37 of them, but then I lost 9 of them, so at the end I am left with 32 of them). My friend also has 8 electric cellos. My uncle also has 53 quinces. My sister also has 17 djembes. I also have 52 pink lady apples (here is why I have these many: initially I had 41 of them, then I lost 39 of them, but then I got another 58 of them, but then I lost 8 of them, so at the end I am left with 52 of them). I also have 65 organs (here is why I have these many: initially I had 70 of them, then I lost 27 of them, but then I got another 68 of them, but then I lost 46 of them, so at the end I am left with 65 of them). I also have 46 sazzes (here is why I have these many: initially I had 71 of them, then I lost 11 of them, but then I got another 15 of them, but then I lost 29 of them, so at the end I am left with 46 of them). My uncle also has 33 alpacas. I also have 82 koras (here is why I have these many: initially I had 38 of them, then I lost 27 of them, but then I got another 86 of them, but then I lost 15 of them, so at the end I am left with 82 of them). My cousin also has 45 cattles. My cousin also has 43 setars. My father also has 33 chardonnay grapes. My cousin also has 58 cantaloupes. My cousin also has 46 marimbas. My grandfather also has 63 kalimbas. I also have 73 vibraphone, steelpans (I am in love with them). I also have 77 shamisens (received them yesterday). I also have 13 mulberrys (I am in love with them). I also have 75 synthesizer keyboards (it is a funny story how I have 75 of them: initially I had 94, then I also got another 94 making it a total of 188, then I got another 56 making it a total of 244, but then I lost 169 of them so eventually I am left with 75 of them now). I also have 83 chinchillas (here is why I have these many: initially I had 31 of them, then I lost 10 of them, but then I got another 84 of them, but then I lost 22 of them, so at the end I am left with 83 of them). I also have 30 theremins (it is a funny story how I have 30 of them: initially I had 66, then I also got another 80 making it a total of 146, then I got another 65 making it a total of 211, but then I lost 181 of them so eventually I am left with 30 of them now). My grandmother also has 28 autumn royal grapes. My grandfather also has 62 bassoons. I also have 45 french horns (here is why I have these many: initially I had 55 of them, then I lost 32 of them, but then I got another 62 of them, but then I lost 40 of them, so at the end I am left with 45 of them). My aunt also has 99 falcons. My father also has 71 violins. I also have 30 cranes (happt to have them). I also have 81 erhus (here is why I have these many: initially I had 95 of them, then I lost 39 of them, but then I got another 89 of them, but then I lost 64 of them, so at the end I am left with 81 of them). I also have 97 guavas (they were given to me as a gift). My grandfather also has 67 lychees. I also have 5 eagles (thrilled to have these). I also have 98 roosters (happt to have them). My sister also has 70 kazoos. My aunt also has 67 chimpanzees. I also have 93 owls (planning to have more in the future). I also have 73 viper snakes (I am in love with them). My father also has 42 mridangams. I also have 64 moose (it is a funny story how I have 64 of them: initially I had 63, then I also got another 26 making it a total of 89, then I got another 59 making it a total of 148, but then I lost 84 of them so eventually I am left with 64 of them now). I also have 20 dogs (here is why I have these many: initially I had 67 of them, then I lost 37 of them, but then I got another 72 of them, but then I lost 82 of them, so at the end I am left with 20 of them). My grandmother also has 35 fish. My cousin also has 96 echidnas. My friend also has 24 electric pianos. My grandfather also has 2 salamanders. My mother also has 34 jazz apples. I also have 89 baboons (I am in love with them). My father also has 55 manatees. My aunt also has 85 peacocks. I also have 53 kiwis (here is why I have these many: initially I had 49 of them, then I lost 37 of them, but then I got another 94 of them, but then I lost 53 of them, so at the end I am left with 53 of them). My grandmother also has 39 ocarinas. My brother also has 54 pears. I also have 37 bass guitars (I am in love with them). My mother also has 82 electric guitars. I also have 63 albatross (it is a funny story how I have 63 of them: initially I had 81, then I also got another 27 making it a total of 108, then I got another 58 making it a total of 166, but then I lost 103 of them so eventually I am left with 63 of them now). I also have 74 clavichords (feeling great about this). My father also has 55 zithers. My uncle also has 19 n'gonis. My brother also has 73 bats. My grandfather also has 47 corgis. I also have 64 ouds (it is a funny story how I have 64 of them: initially I had 94, then I also got another 74 making it a total of 168, then I got another 70 making it a total of 238, but then I lost 174 of them so eventually I am left with 64 of them now). I also have 77 pennywhistles (it is a funny story how I have 77 of them: initially I had 46, then I also got another 88 making it a total of 134, then I got another 57 making it a total of 191, but then I lost 114 of them so eventually I am left with 77 of them now). My sister also has 59 pinot noir grapes. My friend also has 28 pomegranates. I also have 7 rats (it is a funny story how I have 7 of them: initially I had 44, then I also got another 39 making it a total of 83, then I got another 66 making it a total of 149, but then I lost 142 of them so eventually I am left with 7 of them now). I also have 94 ginger gold apples (here is why I have these many: initially I had 39 of them, then I lost 38 of them, but then I got another 99 of them, but then I lost 6 of them, so at the end I am left with 94 of them). My friend also has 7 ponys. My grandfather also has 37 persimmons. My aunt also has 84 cherrys. I also have 48 mandolins (it is a funny story how I have 48 of them: initially I had 94, then I also got another 88 making it a total of 182, then I got another 62 making it a total of 244, but then I lost 196 of them so eventually I am left with 48 of them now). My uncle also has 75 dates. My friend also has 97 riesling grapes. My sister also has 63 koalas. My brother also has 42 shrews. My father also has 6 merlot grapes. My friend also has 31 prairie dogs. My mother also has 30 ukuleles. My grandfather also has 38 electric bass. I also have 83 pineapples (I like these a lot). My sister also has 48 lions. My mother also has 42 sharks. My friend also has 34 mangoes. My grandfather also has 28 sloths. My friend also has 63 tigers. I also have 48 turtles (hope to have more in the future). I also have 99 skunks (planning to have more in the future). I also have 13 trumpets (they are great). My aunt also has 75 lemurs. My friend also has 70 pigs. My aunt also has 18 grapefruits. My uncle also has 5 tamburas. My grandfather also has 98 swans. My brother also has 59 didgeridoos. I also have 90 strawberrys (here is why I have these many: initially I had 78 of them, then I lost 71 of them, but then I got another 97 of them, but then I lost 14 of them, so at the end I am left with 90 of them). My brother also has 85 hawks. My aunt also has 24 whales. My grandmother also has 80 cranberrys. My friend also has 84 shrimps. My mother also has 26 flutes. My aunt also has 98 apes. My aunt also has 18 peaches.  What is the absolute difference of the total number of animals/insects and fruits that I have?",
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  {
    "dataset": "bbeh",
    "family": "49f173e8ec06db584c49492670cf2f7000118e43f87267935a3f5bc1980f4d16",
    "id": "bbeh:object_counting:082",
    "request": "My father has 74 ants. I have 60 subaru impreza cars (here is why I have these many: initially I had 58 of them, then I lost 13 of them, but then I got another 80 of them, but then I lost 65 of them, so at the end I am left with 60 of them). My mother has 27 cockroaches. I also have 69 crabs (it is a funny story how I have 69 of them: initially I had 11, then I also got another 87 making it a total of 98, then I got another 30 making it a total of 128, but then I lost 59 of them so eventually I am left with 69 of them now). My aunt has 82 electric guitars. My sister has 89 crocodiles. My friend has 95 shrews. I also have 91 nissan kicks cars (very happy to have them). My grandfather has 73 sitars. I also have 55 lutes (it is a funny story how I have 55 of them: initially I had 54, then I also got another 36 making it a total of 90, then I got another 11 making it a total of 101, but then I lost 46 of them so eventually I am left with 55 of them now). I also have 98 trout (I do not think I need this much). My aunt also has 80 baboons. I also have 87 tigers (here is why I have these many: initially I had 42 of them, then I lost 21 of them, but then I got another 85 of them, but then I lost 19 of them, so at the end I am left with 87 of them). I also have 24 geese (here is why I have these many: initially I had 38 of them, then I lost 16 of them, but then I got another 41 of them, but then I lost 39 of them, so at the end I am left with 24 of them). My father also has 85 mazda cx-90 cars. My aunt also has 39 jeep gladiator cars. I also have 42 french horns (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 82 of them, but then I lost 42 of them, so at the end I am left with 42 of them). My sister also has 64 butterflys. My mother also has 98 hammered dulcimers. I also have 17 nissan ariya cars (feeling great about this). I also have 5 didgeridoos (they are great). I also have 55 kazoos (they are great). My grandmother has 8 hyundai santa fe cars. My cousin has 11 horses. My grandfather also has 62 flamingoes. I also have 63 chinchillas (it is a funny story how I have 63 of them: initially I had 18, then I also got another 70 making it a total of 88, then I got another 86 making it a total of 174, but then I lost 111 of them so eventually I am left with 63 of them now). My father also has 90 mazda cx-70 cars. My sister also has 14 cats. I also have 91 nissan murano cars (it is a funny story how I have 91 of them: initially I had 58, then I also got another 30 making it a total of 88, then I got another 12 making it a total of 100, but then I lost 9 of them so eventually I am left with 91 of them now). I also have 71 mbiras (feeling great about this). My father also has 12 beavers. My father also has 95 eagles. I also have 15 tesla model s cars (here is why I have these many: initially I had 40 of them, then I lost 29 of them, but then I got another 72 of them, but then I lost 68 of them, so at the end I am left with 15 of them). My father also has 77 llamas. I also have 51 toyota camry cars (maybe I just need some of them). My grandmother also has 39 clarinets. I also have 69 roosters (here is why I have these many: initially I had 70 of them, then I lost 27 of them, but then I got another 80 of them, but then I lost 54 of them, so at the end I am left with 69 of them). My grandfather also has 77 subaru ascent cars. My uncle has 12 kangaroos. I also have 63 doves (planning to have more in the future). My grandfather also has 61 nissan altima cars. My sister also has 64 monkeys. My brother has 62 harpsichords. I also have 2 sazzes (planning to have more in the future). I also have 89 djembes (it is a funny story how I have 89 of them: initially I had 36, then I also got another 86 making it a total of 122, then I got another 24 making it a total of 146, but then I lost 57 of them so eventually I am left with 89 of them now). My brother also has 33 castanets. My father also has 77 xylophones. My grandfather also has 10 guitars. I also have 89 otters (here is why I have these many: initially I had 99 of them, then I lost 49 of them, but then I got another 53 of them, but then I lost 14 of them, so at the end I am left with 89 of them). I also have 5 yaks (it is a funny story how I have 5 of them: initially I had 81, then I also got another 90 making it a total of 171, then I got another 32 making it a total of 203, but then I lost 198 of them so eventually I am left with 5 of them now). My uncle also has 29 toyota corolla cars. I also have 10 sharks (here is why I have these many: initially I had 96 of them, then I lost 48 of them, but then I got another 64 of them, but then I lost 102 of them, so at the end I am left with 10 of them). My friend also has 30 kingsnakes. My grandmother also has 61 accordions. I also have 89 koras (feeling good about this). I also have 79 kia niro cars (here is why I have these many: initially I had 25 of them, then I lost 24 of them, but then I got another 99 of them, but then I lost 21 of them, so at the end I am left with 79 of them). My mother also has 72 pianos. My grandfather also has 1 lion. My aunt also has 56 pigeons. I also have 78 maracas (here is why I have these many: initially I had 28 of them, then I lost 27 of them, but then I got another 95 of them, but then I lost 18 of them, so at the end I am left with 78 of them). My father also has 10 stingrays. I also have 78 tanpuras (it is a funny story how I have 78 of them: initially I had 75, then I also got another 64 making it a total of 139, then I got another 90 making it a total of 229, but then I lost 151 of them so eventually I am left with 78 of them now). My mother also has 47 saxophones. My brother also has 74 subaru outback cars. My friend also has 69 flys. I also have 98 harps (here is why I have these many: initially I had 71 of them, then I lost 31 of them, but then I got another 100 of them, but then I lost 42 of them, so at the end I am left with 98 of them). My aunt also has 24 honda insight cars. My friend also has 28 whales. I also have 80 shehnais (here is why I have these many: initially I had 78 of them, then I lost 45 of them, but then I got another 79 of them, but then I lost 32 of them, so at the end I am left with 80 of them). I also have 35 shrimps (here is why I have these many: initially I had 25 of them, then I lost 16 of them, but then I got another 36 of them, but then I lost 10 of them, so at the end I am left with 35 of them). I also have 34 elephants (they are great). My mother also has 32 kotoes. My aunt also has 11 vibraphone, steelpans. I also have 75 ouds (here is why I have these many: initially I had 30 of them, then I lost 27 of them, but then I got another 81 of them, but then I lost 9 of them, so at the end I am left with 75 of them). I also have 58 balafons (here is why I have these many: initially I had 46 of them, then I lost 16 of them, but then I got another 89 of them, but then I lost 61 of them, so at the end I am left with 58 of them). My brother also has 10 mazda cx-5 cars. My friend also has 7 congas. I also have 19 toyota highlander cars (happt to have them). My aunt also has 19 zebras. I also have 62 honda cr-v cars (received them yesterday). My grandfather also has 91 dogs. I also have 39 honda passport cars (here is why I have these many: initially I had 14 of them, then I lost 13 of them, but then I got another 63 of them, but then I lost 25 of them, so at the end I am left with 39 of them). I also have 15 nissan pathfinder cars (hope to have more in the future). My aunt also has 54 anteaters. My aunt also has 84 synthesizer keyboards. My grandfather also has 76 snails. I also have 11 ukuleles (here is why I have these many: initially I had 37 of them, then I lost 14 of them, but then I got another 36 of them, but then I lost 48 of them, so at the end I am left with 11 of them). My brother also has 21 zithers. My aunt also has 85 marimbas. My grandfather also has 6 harmonicas. My uncle also has 65 goats. My friend also has 61 honda civic cars. I also have 28 ferrets (it is a funny story how I have 28 of them: initially I had 41, then I also got another 83 making it a total of 124, then I got another 90 making it a total of 214, but then I lost 186 of them so eventually I am left with 28 of them now). My cousin also has 41 mazda cx-80 cars. I also have 38 banjoes (happt to have them). My brother also has 8 flutes. I also have 4 bisons (I am in love with them). My sister also has 88 nissan titan cars. My friend also has 26 pennywhistles. My father also has 91 kalimbas. I also have 73 electric drums (I am in love with them). I also have 47 ravens (I really like them). I also have 85 parrots (here is why I have these many: initially I had 79 of them, then I lost 49 of them, but then I got another 58 of them, but then I lost 3 of them, so at the end I am left with 85 of them). I also have 59 raccoons (they are great). My grandfather also has 76 mazda6 cars. I also have 48 toyota 4runnertoyota sequoia cars (feeling great about this). I also have 86 trumpets (happt to have them). I also have 15 toyota tundra cars (I really like them). I also have 55 foxes (feeling good about this). My father also has 76 guzhengs. My grandfather also has 68 glockenspiels. My brother also has 57 nissan leaf cars. My friend also has 75 mice. My grandfather also has 69 mazda2 cars. My grandmother also has 70 autoharps. I also have 25 bassoons (feeling great about this). I also have 36 macaws (it is a funny story how I have 36 of them: initially I had 50, then I also got another 31 making it a total of 81, then I got another 84 making it a total of 165, but then I lost 129 of them so eventually I am left with 36 of them now). My father also has 67 marmots. My grandfather also has 7 iguanas. I also have 30 lemurs (received them last month). I also have 93 owls (here is why I have these many: initially I had 52 of them, then I lost 34 of them, but then I got another 97 of them, but then I lost 22 of them, so at the end I am left with 93 of them). I also have 17 toyota prius cars (I am in love with them). My grandmother also has 94 tambourines. My sister also has 15 pandas. I also have 35 buffaloes (it is a funny story how I have 35 of them: initially I had 51, then I also got another 26 making it a total of 77, then I got another 37 making it a total of 114, but then I lost 79 of them so eventually I am left with 35 of them now). My uncle also has 88 rattlesnakes. I also have 98 ducks (I am in love with them). My father also has 88 toyota sienna cars. I also have 8 pipas (received them last month). My father also has 80 jellyfish. I also have 10 hawks (one day, I will have more of them). I also have 74 impalas (here is why I have these many: initially I had 59 of them, then I lost 18 of them, but then I got another 38 of them, but then I lost 5 of them, so at the end I am left with 74 of them). I also have 4 electric cellos (very happy to have them). I also have 29 cellos (feeling great about this). I also have 94 electric violins (it is a funny story how I have 94 of them: initially I had 56, then I also got another 27 making it a total of 83, then I got another 65 making it a total of 148, but then I lost 54 of them so eventually I am left with 94 of them now). I also have 97 giraffes (feeling good about this). I also have 16 timpanis (it is a funny story how I have 16 of them: initially I had 40, then I also got another 34 making it a total of 74, then I got another 66 making it a total of 140, but then I lost 124 of them so eventually I am left with 16 of them now). My father also has 65 oboes. I also have 19 mazda cx-30 cars (received them yesterday). My brother also has 42 penguins.  What is the absolute difference of the total number of musical instruments and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "d735b3320f01426f1f66499a733e9afee3ad3faef01d6b42c4f92c196397c970",
    "id": "bbeh:object_counting:083",
    "request": "I have 42 nectarines (here is why I have these many: initially I had 68 of them, then I lost 21 of them, but then I got another 43 of them, but then I lost 48 of them, so at the end I am left with 42 of them). My friend has 50 watermelons. I also have 58 pears (thrilled to have these). I also have 15 bananas (here is why I have these many: initially I had 46 of them, then I lost 13 of them, but then I got another 83 of them, but then I lost 101 of them, so at the end I am left with 15 of them). My cousin has 27 papayas. I also have 38 samsung galaxy a15 mobiles (it is a funny story how I have 38 of them: initially I had 17, then I also got another 99 making it a total of 116, then I got another 24 making it a total of 140, but then I lost 102 of them so eventually I am left with 38 of them now). My aunt has 78 sazzes. My mother has 94 vivo mobiles. My uncle has 48 samsung galaxy a16 mobiles. My friend also has 66 huawei pura 70 pro+ mobiles. My mother also has 26 huawei pura 70 ultra mobiles. I also have 48 iphone 16 mobiles (one day, I will have more of them). I also have 96 guzhengs (I do not think I need this much). My friend also has 51 accordions. My sister has 95 dragonfruits. My uncle also has 69 honeydews. My grandfather has 41 honor mobiles. My grandfather also has 76 harps. My grandfather also has 97 samsung galaxy tab s10 mobiles. My friend also has 19 pineapples. I also have 68 kalimbas (here is why I have these many: initially I had 71 of them, then I lost 18 of them, but then I got another 74 of them, but then I lost 59 of them, so at the end I am left with 68 of them). My brother has 90 iphone 6 mobiles. I also have 53 bouzoukis (it is a funny story how I have 53 of them: initially I had 98, then I also got another 92 making it a total of 190, then I got another 48 making it a total of 238, but then I lost 185 of them so eventually I am left with 53 of them now). I also have 28 chardonnay grapes (they are great). My aunt also has 68 tambourines. I also have 53 clarinets (here is why I have these many: initially I had 31 of them, then I lost 24 of them, but then I got another 66 of them, but then I lost 20 of them, so at the end I am left with 53 of them). My brother also has 51 bongos. My grandmother has 13 starfruits. I also have 19 samsung galaxy z fold5 mobiles (here is why I have these many: initially I had 38 of them, then I lost 12 of them, but then I got another 88 of them, but then I lost 95 of them, so at the end I am left with 19 of them). I also have 44 infinix mobiles (it is a funny story how I have 44 of them: initially I had 73, then I also got another 93 making it a total of 166, then I got another 73 making it a total of 239, but then I lost 195 of them so eventually I am left with 44 of them now). My father has 94 huawei nova 11 se mobiles. My sister also has 53 djembes. I also have 26 mridangams (they were given to me as a gift). I also have 54 shamisens (here is why I have these many: initially I had 29 of them, then I lost 22 of them, but then I got another 73 of them, but then I lost 26 of them, so at the end I am left with 54 of them). I also have 75 pianos (here is why I have these many: initially I had 15 of them, then I lost 14 of them, but then I got another 76 of them, but then I lost 2 of them, so at the end I am left with 75 of them). I also have 90 elderberryoranges (here is why I have these many: initially I had 83 of them, then I lost 37 of them, but then I got another 71 of them, but then I lost 27 of them, so at the end I am left with 90 of them). My sister also has 43 soursops. My grandmother also has 33 harpsichords. I also have 13 trumpets (here is why I have these many: initially I had 42 of them, then I lost 15 of them, but then I got another 97 of them, but then I lost 111 of them, so at the end I am left with 13 of them). I also have 97 iphone 15 mobiles (thrilled to have these). My sister also has 29 guavas. I also have 14 bassoons (it is a funny story how I have 14 of them: initially I had 48, then I also got another 27 making it a total of 75, then I got another 85 making it a total of 160, but then I lost 146 of them so eventually I am left with 14 of them now). My friend also has 60 plantains. My brother also has 92 blackberry mobiles. I also have 11 pinot noir grapes (here is why I have these many: initially I had 65 of them, then I lost 20 of them, but then I got another 30 of them, but then I lost 64 of them, so at the end I am left with 11 of them). My cousin also has 59 theremins. My aunt also has 43 mulberrys. I also have 86 cantaloupes (I really like them). My mother also has 2 quinces. My father also has 55 samsung galaxy a35 mobiles. My brother also has 81 samsung galaxy m55s mobiles. My grandfather also has 38 iphone x mobiles. I also have 40 iphone 14 mobiles (hope to have more in the future). My grandmother also has 57 ukuleles. I also have 15 maracas (received them last week). My father also has 4 iphone 12 mobiles. My grandmother also has 94 electric cellos. My mother also has 97 raspberrys. My uncle also has 61 marimbas. My brother also has 30 saxophones. My grandfather also has 99 pink lady apples. My father also has 83 jackfruits. I also have 46 bansuris (I am in love with them). My grandfather also has 74 zte mobiles. I also have 5 plums (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 34 of them, but then I lost 30 of them, so at the end I am left with 5 of them). I also have 99 pomegranates (here is why I have these many: initially I had 76 of them, then I lost 29 of them, but then I got another 73 of them, but then I lost 21 of them, so at the end I am left with 99 of them). My mother also has 43 pipas. My cousin also has 12 syrah grapes. My sister also has 98 vibraphone, steelpans. My friend also has 85 samsung galaxy z fold6 mobiles. I also have 58 mandolins (received them yesterday). My grandfather also has 86 cellos. I also have 32 iphone 11 mobiles (I like these a lot). I also have 73 dates (I really like them). I also have 62 riesling grapes (here is why I have these many: initially I had 31 of them, then I lost 13 of them, but then I got another 63 of them, but then I lost 19 of them, so at the end I am left with 62 of them). I also have 7 honeycrisp apples (I really like them). I also have 42 hammered dulcimers (feeling great about this). I also have 44 tanpuras (I like these a lot). My brother also has 91 n'gonis. I also have 79 grenache grapes (it is a funny story how I have 79 of them: initially I had 45, then I also got another 16 making it a total of 61, then I got another 62 making it a total of 123, but then I lost 44 of them so eventually I am left with 79 of them now). I also have 99 glockenspiels (it is a funny story how I have 99 of them: initially I had 73, then I also got another 52 making it a total of 125, then I got another 47 making it a total of 172, but then I lost 73 of them so eventually I am left with 99 of them now). I also have 44 lemons (I am in love with them). My aunt also has 8 autumn royal grapes. I also have 22 huawei pura 70 pro mobiles (very happy to have them). My sister also has 85 htc mobiles. My mother also has 62 huawei nova 12i mobiles. My grandfather also has 89 cherrys. My uncle also has 53 huawei mate 70 mobiles. My grandfather also has 79 harmonicas. My brother also has 34 tablas. My father also has 35 setars. I also have 18 merlot grapes (thrilled to have these). I also have 1 xylophone (here is why I have these many: initially I had 47 of them, then I lost 46 of them, but then I got another 30 of them, but then I lost 30 of them, so at the end I am left with 1 of them). My father also has 20 ginger gold apples. I also have 80 drums (I am in love with them). My mother also has 86 gala apples. I also have 42 samsung galaxy f05 mobiles (hope to have more in the future). My grandmother also has 82 lg mobiles. I also have 82 zithers (here is why I have these many: initially I had 89 of them, then I lost 38 of them, but then I got another 58 of them, but then I lost 27 of them, so at the end I am left with 82 of them). I also have 63 apricots (here is why I have these many: initially I had 47 of them, then I lost 33 of them, but then I got another 88 of them, but then I lost 39 of them, so at the end I am left with 63 of them). I also have 97 sony mobiles (it is a funny story how I have 97 of them: initially I had 57, then I also got another 46 making it a total of 103, then I got another 86 making it a total of 189, but then I lost 92 of them so eventually I am left with 97 of them now). My grandfather also has 3 iphone 13 mobiles. My friend also has 5 ambrosia apples. I also have 70 jazz apples (feeling great about this). I also have 88 kiwis (here is why I have these many: initially I had 69 of them, then I lost 36 of them, but then I got another 63 of them, but then I lost 8 of them, so at the end I am left with 88 of them). My aunt also has 43 huawei nova 12s mobiles. My cousin also has 72 clavichords. My aunt also has 99 blueberrys. My uncle also has 36 iphone 7 mobiles. My aunt also has 67 lychees. My mother also has 59 samsung galaxy c55 mobiles.  What is the sum of the total number of fruits and musical instruments that I have?",
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  {
    "dataset": "bbeh",
    "family": "f530652a42b3a4e220c529f93aa4f2a0401eb0b464dc679ff0682ce82f3b0af5",
    "id": "bbeh:object_counting:084",
    "request": "My friend has 93 shrimps. My cousin has 96 sony mobiles. I have 1 jeep gladiator cars (one day, I will have more of them). My uncle has 47 htc mobiles. My cousin also has 91 samsung galaxy f05 mobiles. My brother has 23 iphone 5 mobiles. My uncle also has 97 nissan kicks cars. I also have 64 huawei mate x6 mobiles (received them last month). My friend also has 88 cockroaches. My cousin also has 96 prairie dogs. My grandfather has 25 samsung galaxy s24 mobiles. I also have 74 seahorses (feeling good about this). I also have 52 pigeons (it is a funny story how I have 52 of them: initially I had 37, then I also got another 64 making it a total of 101, then I got another 85 making it a total of 186, but then I lost 134 of them so eventually I am left with 52 of them now). My father has 90 hedgehogs. My aunt has 5 oppo mobiles. I also have 36 honor mobiles (here is why I have these many: initially I had 31 of them, then I lost 19 of them, but then I got another 38 of them, but then I lost 14 of them, so at the end I am left with 36 of them). I also have 67 lg mobiles (it is a funny story how I have 67 of them: initially I had 29, then I also got another 52 making it a total of 81, then I got another 38 making it a total of 119, but then I lost 52 of them so eventually I am left with 67 of them now). I also have 29 iphone 14 mobiles (I like these a lot). My father also has 43 iphone 11 mobiles. My cousin also has 95 toyota highlander cars. I also have 64 huawei mate 70 mobiles (here is why I have these many: initially I had 30 of them, then I lost 11 of them, but then I got another 74 of them, but then I lost 29 of them, so at the end I am left with 64 of them). My brother also has 24 samsung galaxy tab s10 mobiles. I also have 47 honda hr-v cars (here is why I have these many: initially I had 17 of them, then I lost 10 of them, but then I got another 90 of them, but then I lost 50 of them, so at the end I am left with 47 of them). I also have 59 subaru outback cars (I really like them). My sister has 25 audi a6 cars. My sister also has 15 huawei nova 12s mobiles. I also have 87 black rat snakes (here is why I have these many: initially I had 33 of them, then I lost 26 of them, but then I got another 98 of them, but then I lost 18 of them, so at the end I am left with 87 of them). I also have 22 samsung galaxy m55s mobiles (happt to have them). My father also has 84 mazda cx-90 cars. I also have 52 iphone x mobiles (here is why I have these many: initially I had 58 of them, then I lost 26 of them, but then I got another 96 of them, but then I lost 76 of them, so at the end I am left with 52 of them). My uncle also has 82 honda insight cars. My sister also has 27 walrus. My grandmother has 8 huawei nova 12i mobiles. I also have 49 google (pixel) mobiles (here is why I have these many: initially I had 69 of them, then I lost 27 of them, but then I got another 65 of them, but then I lost 58 of them, so at the end I am left with 49 of them). My father also has 89 samsung galaxy c55 mobiles. I also have 16 apes (here is why I have these many: initially I had 70 of them, then I lost 30 of them, but then I got another 30 of them, but then I lost 54 of them, so at the end I am left with 16 of them). My uncle also has 40 iphone 16 mobiles. My sister also has 52 mallards. I also have 12 toyota sienna cars (here is why I have these many: initially I had 54 of them, then I lost 42 of them, but then I got another 90 of them, but then I lost 90 of them, so at the end I am left with 12 of them). I also have 94 tecno mobiles (I do not think I need this much). My uncle also has 37 toyota c-hr cars. My aunt also has 59 aardvarks. I also have 45 gorillas (it is a funny story how I have 45 of them: initially I had 11, then I also got another 92 making it a total of 103, then I got another 44 making it a total of 147, but then I lost 102 of them so eventually I am left with 45 of them now). I also have 98 baboons (here is why I have these many: initially I had 73 of them, then I lost 66 of them, but then I got another 100 of them, but then I lost 9 of them, so at the end I am left with 98 of them). My grandmother also has 83 shrews. I also have 62 honda prologuq cars (here is why I have these many: initially I had 42 of them, then I lost 10 of them, but then I got another 67 of them, but then I lost 37 of them, so at the end I am left with 62 of them). I also have 85 kia niro cars (here is why I have these many: initially I had 86 of them, then I lost 65 of them, but then I got another 83 of them, but then I lost 19 of them, so at the end I am left with 85 of them). My friend also has 89 hyundai santa fe cars. My cousin also has 37 honda cr-z cars. My father also has 49 rats. My aunt also has 55 beavers. I also have 48 honda pilot cars (received them yesterday). My brother also has 93 iphone 6 mobiles. I also have 6 hyundai elantra cars (it is a funny story how I have 6 of them: initially I had 19, then I also got another 21 making it a total of 40, then I got another 58 making it a total of 98, but then I lost 92 of them so eventually I am left with 6 of them now). My aunt also has 34 impalas. My aunt also has 38 ferrets. My grandmother also has 31 flys. My aunt also has 30 ravens. My brother also has 51 samsung galaxy a15 mobiles. My uncle also has 21 samsung galaxy z fold5 mobiles. My grandmother also has 56 raccoons. My grandmother also has 6 boars. My father also has 15 dodge challenger cars. I also have 20 seals (planning to have more in the future). I also have 12 cattles (feeling great about this). My uncle also has 80 honda cr-v cars. My sister also has 69 horses. I also have 46 tesla model s cars (here is why I have these many: initially I had 94 of them, then I lost 37 of them, but then I got another 59 of them, but then I lost 70 of them, so at the end I am left with 46 of them). My grandfather also has 90 tortoises. I also have 55 mazda3 cars (they were given to me as a gift). I also have 93 mazda cx-80 cars (very happy to have them). I also have 86 nissan pathfinder cars (here is why I have these many: initially I had 23 of them, then I lost 19 of them, but then I got another 99 of them, but then I lost 17 of them, so at the end I am left with 86 of them). My mother has 40 huawei nova 13 mobiles. My grandmother also has 91 ford edge cars. My mother also has 33 tigers. My uncle also has 53 turtles. I also have 51 nissan maxima cars (here is why I have these many: initially I had 12 of them, then I lost 11 of them, but then I got another 73 of them, but then I lost 23 of them, so at the end I am left with 51 of them). I also have 39 yaks (very happy to have them). My mother also has 92 infinix mobiles. I also have 68 cows (one day, I will have more of them). My sister also has 70 llamas. I also have 52 samsung galaxy a16 mobiles (it is a funny story how I have 52 of them: initially I had 56, then I also got another 26 making it a total of 82, then I got another 46 making it a total of 128, but then I lost 76 of them so eventually I am left with 52 of them now). My father also has 28 butterflys. I also have 47 rattlesnakes (it is a funny story how I have 47 of them: initially I had 22, then I also got another 54 making it a total of 76, then I got another 46 making it a total of 122, but then I lost 75 of them so eventually I am left with 47 of them now). My mother also has 92 toyota rav4 cars. My mother also has 97 goldfish. I also have 97 mamba snakes (happt to have them). My uncle also has 64 nissan murano cars. I also have 11 iphone 12 mobiles (received them last month). My brother also has 75 reindeer. I also have 95 ants (here is why I have these many: initially I had 42 of them, then I lost 35 of them, but then I got another 93 of them, but then I lost 5 of them, so at the end I am left with 95 of them). My grandmother also has 32 mules. I also have 47 honda civic cars (I like these a lot). My father also has 13 squirrels. My sister also has 6 kangaroos. I also have 93 xiaomi mobiles (it is a funny story how I have 93 of them: initially I had 49, then I also got another 38 making it a total of 87, then I got another 52 making it a total of 139, but then I lost 46 of them so eventually I am left with 93 of them now). I also have 36 honda passport cars (maybe I just need some of them). I also have 86 wolves (it is a funny story how I have 86 of them: initially I had 55, then I also got another 57 making it a total of 112, then I got another 25 making it a total of 137, but then I lost 51 of them so eventually I am left with 86 of them now). My grandfather also has 36 honda odyssey cars. My brother also has 52 giraffes. My cousin also has 62 peacocks. My brother also has 62 nissan titan cars. I also have 90 motorola mobiles (here is why I have these many: initially I had 41 of them, then I lost 11 of them, but then I got another 63 of them, but then I lost 3 of them, so at the end I am left with 90 of them). My sister also has 95 koalas. I also have 44 lions (it is a funny story how I have 44 of them: initially I had 91, then I also got another 85 making it a total of 176, then I got another 28 making it a total of 204, but then I lost 160 of them so eventually I am left with 44 of them now). My brother also has 75 toyota tundra cars. I also have 86 nissan leaf cars (it is a funny story how I have 86 of them: initially I had 30, then I also got another 37 making it a total of 67, then I got another 60 making it a total of 127, but then I lost 41 of them so eventually I am left with 86 of them now).  What is the sum of the total number of mobiles and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "24ae1e0330b689d150dd0117e387297945c614abb10d020d67374d685cd0d56e",
    "id": "bbeh:object_counting:090",
    "request": "My brother has 49 pears. My brother also has 27 mazda cx-80 cars. I have 63 volkswagen golf cars (received them last month). My friend has 72 honda hr-v cars. I also have 61 muscat grapes (received them last week). I also have 11 recorders (I do not think I need this much). I also have 43 persimmons (maybe I just need some of them). My aunt has 77 watermelons. My aunt also has 23 lychees. My grandmother has 89 cranberrys. My uncle has 91 hammered dulcimers. I also have 64 mazda cx-3 cars (here is why I have these many: initially I had 71 of them, then I lost 67 of them, but then I got another 65 of them, but then I lost 5 of them, so at the end I am left with 64 of them). I also have 22 honda insight cars (it is a funny story how I have 22 of them: initially I had 35, then I also got another 100 making it a total of 135, then I got another 67 making it a total of 202, but then I lost 180 of them so eventually I am left with 22 of them now). My aunt also has 6 tablas. I also have 85 blueberrys (here is why I have these many: initially I had 70 of them, then I lost 27 of them, but then I got another 44 of them, but then I lost 2 of them, so at the end I am left with 85 of them). I also have 73 pineapples (hope to have more in the future). I also have 28 bagpipes (hope to have more in the future). I also have 21 mazda mx-30 cars (very happy to have them). I also have 34 plantains (it is a funny story how I have 34 of them: initially I had 22, then I also got another 84 making it a total of 106, then I got another 54 making it a total of 160, but then I lost 126 of them so eventually I am left with 34 of them now). I also have 49 djembes (they are great). I also have 73 clavichords (received them last month). I also have 25 tanpuras (it is a funny story how I have 25 of them: initially I had 14, then I also got another 76 making it a total of 90, then I got another 86 making it a total of 176, but then I lost 151 of them so eventually I am left with 25 of them now). My cousin has 31 flutes. I also have 55 honeydews (planning to have more in the future). My uncle also has 26 subaru outback cars. My uncle also has 36 audi a6 cars. My father has 97 gala apples. My sister has 50 strawberrys. My sister also has 52 glockenspiels. I also have 4 syrah grapes (planning to have more in the future). My brother also has 51 harmonicas. I also have 46 kazoos (it is a funny story how I have 46 of them: initially I had 89, then I also got another 87 making it a total of 176, then I got another 35 making it a total of 211, but then I lost 165 of them so eventually I am left with 46 of them now). I also have 84 honda pilot cars (hope to have more in the future). My aunt also has 45 tesla model s cars. My grandfather has 66 nissan sentra cars. My brother also has 51 grapefruits. I also have 14 cantaloupes (very happy to have them). My aunt also has 48 electric pianos. I also have 14 toyota tundra cars (feeling good about this). I also have 27 coconuts (feeling great about this). I also have 84 honda passport cars (it is a funny story how I have 84 of them: initially I had 47, then I also got another 87 making it a total of 134, then I got another 86 making it a total of 220, but then I lost 136 of them so eventually I am left with 84 of them now). I also have 87 cherrys (I like these a lot). I also have 42 starfruits (I really like them). My uncle also has 64 harpsichords. I also have 88 apricots (here is why I have these many: initially I had 29 of them, then I lost 18 of them, but then I got another 90 of them, but then I lost 13 of them, so at the end I am left with 88 of them). I also have 45 envy apples (I do not think I need this much). I also have 40 toyota 4runnertoyota sequoia cars (I really like them). My uncle also has 14 xylophones. My brother also has 11 mazda2 cars. My father also has 67 honda element cars. My mother has 82 fuji apples. My cousin also has 79 nissan frintier cars. My father also has 69 clarinets. My brother also has 59 mangoes. My friend also has 5 honda cr-v cars. I also have 16 honda accord cars (received them last month). My sister also has 65 kalimbas. I also have 68 lemons (they are great). I also have 92 pomegranates (it is a funny story how I have 92 of them: initially I had 16, then I also got another 30 making it a total of 46, then I got another 71 making it a total of 117, but then I lost 25 of them so eventually I am left with 92 of them now). I also have 89 honda prologuq cars (here is why I have these many: initially I had 39 of them, then I lost 35 of them, but then I got another 93 of them, but then I lost 8 of them, so at the end I am left with 89 of them). My father also has 12 pink lady apples. I also have 23 oboes (here is why I have these many: initially I had 69 of them, then I lost 52 of them, but then I got another 73 of them, but then I lost 67 of them, so at the end I am left with 23 of them). I also have 55 cellos (here is why I have these many: initially I had 51 of them, then I lost 25 of them, but then I got another 69 of them, but then I lost 40 of them, so at the end I am left with 55 of them). My uncle also has 96 sazzes. I also have 13 banjoes (one day, I will have more of them). My cousin also has 76 toyota highlander cars. My uncle also has 24 hyundai santa fe cars. My sister also has 94 guitars. I also have 43 toyota corolla cars (it is a funny story how I have 43 of them: initially I had 92, then I also got another 54 making it a total of 146, then I got another 72 making it a total of 218, but then I lost 175 of them so eventually I am left with 43 of them now). My grandmother also has 96 jazz apples. I also have 30 nissan pathfinder cars (I like these a lot). I also have 39 cotton candy grapes (I do not think I need this much). I also have 69 tamburas (it is a funny story how I have 69 of them: initially I had 23, then I also got another 14 making it a total of 37, then I got another 91 making it a total of 128, but then I lost 59 of them so eventually I am left with 69 of them now). My cousin also has 26 mandolins. I also have 41 electric drums (very happy to have them). My mother also has 41 mazda cx-5 cars. I also have 59 clementinefigs (very happy to have them). My grandfather also has 81 breadfruits. My cousin also has 90 nissan altima cars. My friend also has 74 electric cellos. I also have 35 kotoes (here is why I have these many: initially I had 51 of them, then I lost 43 of them, but then I got another 52 of them, but then I lost 25 of them, so at the end I am left with 35 of them). My cousin also has 21 timpanis. My mother also has 14 lutes. My brother also has 33 congas. My friend also has 71 toyota rav4 cars. My grandmother also has 46 honda cr-z cars. My father also has 91 mazda cx-30 cars. I also have 89 jeep gladiator cars (here is why I have these many: initially I had 99 of them, then I lost 61 of them, but then I got another 92 of them, but then I lost 41 of them, so at the end I am left with 89 of them). My brother also has 12 violins. My grandmother also has 71 dates. My grandmother also has 4 nissan kicks cars. My grandmother also has 15 rebecs. My cousin also has 76 guzhengs. I also have 79 nissan ariya cars (it is a funny story how I have 79 of them: initially I had 44, then I also got another 32 making it a total of 76, then I got another 74 making it a total of 150, but then I lost 71 of them so eventually I am left with 79 of them now). My mother also has 83 toyota tacoma cars. My brother also has 64 plums. My uncle also has 4 hyundai elantra cars. I also have 93 double bass (I am in love with them). I also have 63 bongos (I like these a lot).  What is the sum of the total number of musical instruments and fruits that I have?",
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  {
    "dataset": "bbeh",
    "family": "3717f18f59ba146195c5937eb5b25583a043870f11c36d9b013664418a480b7c",
    "id": "bbeh:object_counting:102",
    "request": "My father has 94 grenache grapes. I have 22 nissan frintier cars (they were given to me as a gift). I also have 64 huawei nova 13 mobiles (it is a funny story how I have 64 of them: initially I had 48, then I also got another 66 making it a total of 114, then I got another 55 making it a total of 169, but then I lost 105 of them so eventually I am left with 64 of them now). My mother has 62 dodge challenger cars. My brother has 90 apricots. My father also has 5 samsung galaxy a35 mobiles. I also have 8 samsung galaxy a55 mobiles (here is why I have these many: initially I had 99 of them, then I lost 70 of them, but then I got another 26 of them, but then I lost 47 of them, so at the end I am left with 8 of them). I also have 27 oneplus mobiles (it is a funny story how I have 27 of them: initially I had 49, then I also got another 24 making it a total of 73, then I got another 57 making it a total of 130, but then I lost 103 of them so eventually I am left with 27 of them now). My cousin has 96 lg mobiles. I also have 41 ambrosia apples (it is a funny story how I have 41 of them: initially I had 62, then I also got another 10 making it a total of 72, then I got another 50 making it a total of 122, but then I lost 81 of them so eventually I am left with 41 of them now). My grandmother has 59 fuji apples. My sister has 87 elderberryoranges. I also have 72 clementinefigs (it is a funny story how I have 72 of them: initially I had 48, then I also got another 38 making it a total of 86, then I got another 17 making it a total of 103, but then I lost 31 of them so eventually I am left with 72 of them now). I also have 55 mangoes (it is a funny story how I have 55 of them: initially I had 35, then I also got another 49 making it a total of 84, then I got another 88 making it a total of 172, but then I lost 117 of them so eventually I am left with 55 of them now). My grandmother also has 45 toyota 4runnertoyota sequoia cars. I also have 94 meizu mobiles (it is a funny story how I have 94 of them: initially I had 71, then I also got another 82 making it a total of 153, then I got another 53 making it a total of 206, but then I lost 112 of them so eventually I am left with 94 of them now). I also have 83 honda odyssey cars (it is a funny story how I have 83 of them: initially I had 71, then I also got another 62 making it a total of 133, then I got another 10 making it a total of 143, but then I lost 60 of them so eventually I am left with 83 of them now). I also have 90 iphone 5 mobiles (it is a funny story how I have 90 of them: initially I had 66, then I also got another 14 making it a total of 80, then I got another 64 making it a total of 144, but then I lost 54 of them so eventually I am left with 90 of them now). I also have 93 volkswagen golf cars (it is a funny story how I have 93 of them: initially I had 49, then I also got another 26 making it a total of 75, then I got another 84 making it a total of 159, but then I lost 66 of them so eventually I am left with 93 of them now). My sister also has 76 zte mobiles. My grandmother also has 89 watermelons. I also have 66 papayas (received them last week). My aunt has 31 toyota corolla cars. My cousin also has 93 samsung galaxy c55 mobiles. I also have 37 iphone 16 mobiles (here is why I have these many: initially I had 58 of them, then I lost 36 of them, but then I got another 89 of them, but then I lost 74 of them, so at the end I am left with 37 of them). I also have 49 cherrys (here is why I have these many: initially I had 52 of them, then I lost 21 of them, but then I got another 41 of them, but then I lost 23 of them, so at the end I am left with 49 of them). My father also has 46 pears. I also have 58 oppo mobiles (it is a funny story how I have 58 of them: initially I had 90, then I also got another 96 making it a total of 186, then I got another 84 making it a total of 270, but then I lost 212 of them so eventually I am left with 58 of them now). My uncle has 60 realme mobiles. I also have 98 ford edge cars (here is why I have these many: initially I had 29 of them, then I lost 11 of them, but then I got another 84 of them, but then I lost 4 of them, so at the end I am left with 98 of them). My mother also has 33 jackfruits. I also have 41 toyota sienna cars (it is a funny story how I have 41 of them: initially I had 77, then I also got another 28 making it a total of 105, then I got another 43 making it a total of 148, but then I lost 107 of them so eventually I am left with 41 of them now). I also have 22 pineapples (it is a funny story how I have 22 of them: initially I had 54, then I also got another 32 making it a total of 86, then I got another 68 making it a total of 154, but then I lost 132 of them so eventually I am left with 22 of them now). I also have 23 mazda mx-30 cars (here is why I have these many: initially I had 20 of them, then I lost 15 of them, but then I got another 31 of them, but then I lost 13 of them, so at the end I am left with 23 of them). My grandfather has 68 durians. My grandmother also has 51 honda cr-v cars. My friend has 71 honda passport cars. My father also has 96 starfruits. I also have 54 honda cr-z cars (planning to have more in the future). I also have 75 nissan armada cars (it is a funny story how I have 75 of them: initially I had 91, then I also got another 15 making it a total of 106, then I got another 38 making it a total of 144, but then I lost 69 of them so eventually I am left with 75 of them now). My sister also has 17 iphone 6 mobiles. My brother also has 98 mulberrys. I also have 71 infinix mobiles (received them yesterday). My cousin also has 85 iphone 13 mobiles. My cousin also has 26 toyota c-hr cars. I also have 70 toyota tundra cars (I really like them). My sister also has 87 strawberrys. I also have 35 toyota prius cars (here is why I have these many: initially I had 99 of them, then I lost 79 of them, but then I got another 26 of them, but then I lost 11 of them, so at the end I am left with 35 of them). My mother also has 57 honeydews. I also have 20 toyota tacoma cars (I do not think I need this much). I also have 88 nissan rogue cars (feeling great about this). I also have 85 honda element cars (it is a funny story how I have 85 of them: initially I had 47, then I also got another 38 making it a total of 85, then I got another 18 making it a total of 103, but then I lost 18 of them so eventually I am left with 85 of them now). My grandmother also has 93 mazda cx-80 cars. I also have 9 htc mobiles (it is a funny story how I have 9 of them: initially I had 39, then I also got another 56 making it a total of 95, then I got another 85 making it a total of 180, but then I lost 171 of them so eventually I am left with 9 of them now). I also have 24 grapefruits (feeling good about this). My mother also has 54 blueberrys. I also have 64 kia niro cars (here is why I have these many: initially I had 95 of them, then I lost 92 of them, but then I got another 76 of them, but then I lost 15 of them, so at the end I am left with 64 of them). I also have 74 merlot grapes (they are great). My cousin also has 71 nebbiolo grapes. I also have 42 persimmons (here is why I have these many: initially I had 42 of them, then I lost 33 of them, but then I got another 37 of them, but then I lost 4 of them, so at the end I am left with 42 of them). My aunt also has 95 nissan kicks cars. My grandmother also has 32 toyota avalon cars. My sister also has 91 mazda cx-50 cars. I also have 48 toyota rav4 cars (received them yesterday). My aunt also has 17 huawei mate x6 mobiles. I also have 62 muscat grapes (I really like them). I also have 59 guavas (it is a funny story how I have 59 of them: initially I had 17, then I also got another 14 making it a total of 31, then I got another 38 making it a total of 69, but then I lost 10 of them so eventually I am left with 59 of them now). My father also has 44 huawei nova 12s mobiles. My grandfather also has 83 chardonnay grapes. My father also has 70 jonagold apples. I also have 34 huawei nova 11 se mobiles (feeling great about this). I also have 55 iphone 14 mobiles (here is why I have these many: initially I had 55 of them, then I lost 54 of them, but then I got another 77 of them, but then I lost 23 of them, so at the end I am left with 55 of them). I also have 19 nectarines (they are great). My friend also has 52 kiwis. I also have 13 dates (it is a funny story how I have 13 of them: initially I had 47, then I also got another 50 making it a total of 97, then I got another 42 making it a total of 139, but then I lost 126 of them so eventually I am left with 13 of them now). My cousin also has 92 lychees. I also have 79 huawei nova 12i mobiles (here is why I have these many: initially I had 36 of them, then I lost 34 of them, but then I got another 92 of them, but then I lost 15 of them, so at the end I am left with 79 of them). My friend also has 14 samsung galaxy z fold6 mobiles. My brother also has 47 tesla model s cars. I also have 15 nissan maxima cars (they are great). My mother also has 3 honda civic cars. My sister also has 39 pinot noir grapes. I also have 1 quince (it is a funny story how I have 1 of them: initially I had 62, then I also got another 63 making it a total of 125, then I got another 31 making it a total of 156, but then I lost 155 of them so eventually I am left with 1 of them now). I also have 54 ginger gold apples (it is a funny story how I have 54 of them: initially I had 24, then I also got another 100 making it a total of 124, then I got another 59 making it a total of 183, but then I lost 129 of them so eventually I am left with 54 of them now). My grandfather also has 85 buick enclave cars. My mother also has 46 samsung galaxy f05 mobiles. My uncle also has 96 nissan murano cars. My aunt also has 1 mazda3 cars. My mother also has 31 samsung galaxy z fold5 mobiles. My aunt also has 98 honda prologuq cars. I also have 79 sony mobiles (very happy to have them). My sister also has 94 pink lady apples. My grandmother also has 6 huawei nova 12 pro mobiles. My cousin also has 96 coconuts. My father also has 94 autumn royal grapes. I also have 1 hyundai elantra cars (it is a funny story how I have 1 of them: initially I had 59, then I also got another 73 making it a total of 132, then I got another 31 making it a total of 163, but then I lost 162 of them so eventually I am left with 1 of them now). My uncle also has 89 iphone 4 mobiles. My grandmother also has 73 iphone 7 mobiles. My mother also has 87 cantaloupes. I also have 56 honeycrisp apples (thrilled to have these). My mother also has 97 envy apples. I also have 73 hyundai santa fe cars (here is why I have these many: initially I had 100 of them, then I lost 71 of them, but then I got another 48 of them, but then I lost 4 of them, so at the end I am left with 73 of them). My aunt also has 7 nissan titan cars. My cousin also has 93 nissan ariya cars. I also have 83 nissan altima cars (one day, I will have more of them). I also have 45 cotton candy grapes (I really like them). My mother also has 47 nokia mobiles. My grandmother also has 40 mazda cx-3 cars. My grandmother also has 12 huawei pura 70 pro+ mobiles. I also have 26 subaru impreza cars (thrilled to have these). My grandfather also has 27 syrah grapes. I also have 14 gala apples (planning to have more in the future). My aunt also has 97 mazda cx-70 cars. My brother also has 24 iphone 15 mobiles. My uncle also has 91 samsung galaxy s24 mobiles.  What is the absolute difference of the total number of cars and fruits that I have?",
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  {
    "dataset": "bbeh",
    "family": "48e6a23e23fd6464ab07892ea109f8895bf395307955f6c0016b03b366c19960",
    "id": "bbeh:object_counting:104",
    "request": "I have 18 elephants (feeling great about this). My mother has 93 mazda cx-70 cars. I also have 76 horses (maybe I just need some of them). My grandfather has 48 tesla model s cars. My uncle has 91 sruti boxes. I also have 92 lemurs (here is why I have these many: initially I had 85 of them, then I lost 39 of them, but then I got another 51 of them, but then I lost 5 of them, so at the end I am left with 92 of them). My father has 28 toyota 4runnertoyota sequoia cars. My mother also has 37 vultures. My sister has 53 nissan titan cars. I also have 11 prairie dogs (happt to have them). My sister also has 33 dolphins. I also have 44 dulcimers (it is a funny story how I have 44 of them: initially I had 50, then I also got another 65 making it a total of 115, then I got another 63 making it a total of 178, but then I lost 134 of them so eventually I am left with 44 of them now). I also have 68 echidnas (received them yesterday). I also have 79 mazda3 cars (it is a funny story how I have 79 of them: initially I had 85, then I also got another 45 making it a total of 130, then I got another 84 making it a total of 214, but then I lost 135 of them so eventually I am left with 79 of them now). I also have 21 bats (here is why I have these many: initially I had 100 of them, then I lost 87 of them, but then I got another 72 of them, but then I lost 64 of them, so at the end I am left with 21 of them). I also have 30 autoharps (it is a funny story how I have 30 of them: initially I had 42, then I also got another 67 making it a total of 109, then I got another 35 making it a total of 144, but then I lost 114 of them so eventually I am left with 30 of them now). I also have 15 toyota c-hr cars (it is a funny story how I have 15 of them: initially I had 50, then I also got another 97 making it a total of 147, then I got another 34 making it a total of 181, but then I lost 166 of them so eventually I am left with 15 of them now). My aunt has 31 honda accord cars. My sister also has 37 tambourines. I also have 96 frogs (they are great). I also have 37 wolves (here is why I have these many: initially I had 83 of them, then I lost 15 of them, but then I got another 24 of them, but then I lost 55 of them, so at the end I am left with 37 of them). My grandfather also has 24 alligators. I also have 68 french horns (received them last week). My grandmother has 51 honda pilot cars. I also have 10 xylophones (feeling great about this). My grandmother also has 54 hummingbirds. My grandmother also has 20 narwhals. My friend has 79 subaru ascent cars. My father also has 30 harpsichords. I also have 49 cellos (it is a funny story how I have 49 of them: initially I had 63, then I also got another 40 making it a total of 103, then I got another 59 making it a total of 162, but then I lost 113 of them so eventually I am left with 49 of them now). I also have 5 nissan leaf cars (thrilled to have these). I also have 68 synthesizer keyboards (they are great). My aunt also has 72 harmonicas. My sister also has 49 mazda mx-30 cars. I also have 17 mazda cx-30 cars (they were given to me as a gift). I also have 38 python snakes (here is why I have these many: initially I had 42 of them, then I lost 39 of them, but then I got another 52 of them, but then I lost 17 of them, so at the end I am left with 38 of them). I also have 46 boa snakes (they are great). My uncle also has 65 didgeridoos. I also have 66 lutes (here is why I have these many: initially I had 51 of them, then I lost 27 of them, but then I got another 74 of them, but then I lost 32 of them, so at the end I am left with 66 of them). My mother also has 90 kalimbas. I also have 10 tanpuras (happt to have them). I also have 19 ravens (here is why I have these many: initially I had 47 of them, then I lost 33 of them, but then I got another 33 of them, but then I lost 28 of them, so at the end I am left with 19 of them). My grandfather also has 26 flamingoes. I also have 52 electric pianos (received them yesterday). I also have 1 electric cello (it is a funny story how I have 1 of them: initially I had 45, then I also got another 86 making it a total of 131, then I got another 34 making it a total of 165, but then I lost 164 of them so eventually I am left with 1 of them now). My uncle also has 41 honda cr-z cars. My uncle also has 69 otters. My grandmother also has 84 honda insight cars. My cousin has 97 cows. My cousin also has 29 goldfish. I also have 64 antelopes (I am in love with them). My mother also has 48 nissan armada cars. I also have 97 ducks (received them yesterday). My father also has 20 eagles. My uncle also has 58 pandas. My friend also has 8 rebecs. I also have 30 honda cr-v cars (here is why I have these many: initially I had 41 of them, then I lost 11 of them, but then I got another 64 of them, but then I lost 64 of them, so at the end I am left with 30 of them). My grandmother also has 10 harps. I also have 53 bongos (it is a funny story how I have 53 of them: initially I had 28, then I also got another 68 making it a total of 96, then I got another 21 making it a total of 117, but then I lost 64 of them so eventually I am left with 53 of them now). My mother also has 62 toyota highlander cars. My brother has 79 black rat snakes. My uncle also has 87 honda hr-v cars. My cousin also has 66 possums. My aunt also has 26 recorders. My mother also has 98 nissan rogue cars. My uncle also has 71 sazzes. My grandmother also has 69 honda civic cars. My aunt also has 13 toyota tundra cars. My aunt also has 2 glockenspiels. I also have 81 flutes (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 81 of them, but then I lost 1 of them, so at the end I am left with 81 of them). I also have 65 theremins (it is a funny story how I have 65 of them: initially I had 93, then I also got another 100 making it a total of 193, then I got another 65 making it a total of 258, but then I lost 193 of them so eventually I am left with 65 of them now). I also have 9 sitars (here is why I have these many: initially I had 73 of them, then I lost 59 of them, but then I got another 70 of them, but then I lost 75 of them, so at the end I am left with 9 of them). I also have 63 monkeys (maybe I just need some of them). My friend also has 33 quails. I also have 19 hammered dulcimers (it is a funny story how I have 19 of them: initially I had 59, then I also got another 10 making it a total of 69, then I got another 92 making it a total of 161, but then I lost 142 of them so eventually I am left with 19 of them now). My sister also has 74 mbiras. My mother also has 90 parrots. I also have 56 koras (feeling great about this). My mother also has 64 mazda6 cars. My father also has 8 giraffes. I also have 27 ocarinas (here is why I have these many: initially I had 45 of them, then I lost 44 of them, but then I got another 87 of them, but then I lost 61 of them, so at the end I am left with 27 of them). My aunt also has 22 nadaswarams. My grandfather also has 3 hyundai santa fe cars. My cousin also has 26 komodo dragons. My cousin also has 8 honda odyssey cars. My grandmother also has 54 nissan ariya cars. I also have 4 seahorses (they were given to me as a gift). My grandfather also has 27 jeep gladiator cars. My brother also has 73 guitars. My father also has 42 viper snakes. My father also has 3 mazda cx-80 cars. My sister also has 63 audi a6 cars. I also have 47 nissan murano cars (it is a funny story how I have 47 of them: initially I had 45, then I also got another 56 making it a total of 101, then I got another 41 making it a total of 142, but then I lost 95 of them so eventually I am left with 47 of them now). My grandfather also has 19 buick enclave cars. I also have 51 shrimps (they were given to me as a gift). I also have 95 turkeys (it is a funny story how I have 95 of them: initially I had 54, then I also got another 45 making it a total of 99, then I got another 23 making it a total of 122, but then I lost 27 of them so eventually I am left with 95 of them now). My cousin also has 15 ponys. My father also has 21 koalas. My uncle also has 80 hedgehogs. I also have 6 marmots (it is a funny story how I have 6 of them: initially I had 54, then I also got another 84 making it a total of 138, then I got another 39 making it a total of 177, but then I lost 171 of them so eventually I am left with 6 of them now).  What is the absolute difference of the total number of cars and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "0f38f1a68bf86a469ed5116ffb3bd3a5e0852179dfee9db1e3ff554c265bf655",
    "id": "bbeh:object_counting:108",
    "request": "I have 52 iphone 16 mobiles (here is why I have these many: initially I had 26 of them, then I lost 18 of them, but then I got another 76 of them, but then I lost 32 of them, so at the end I am left with 52 of them). My mother has 3 seahorses. I also have 84 foxes (I do not think I need this much). My aunt has 88 boa snakes. I also have 58 iphone 12 mobiles (here is why I have these many: initially I had 23 of them, then I lost 15 of them, but then I got another 89 of them, but then I lost 39 of them, so at the end I am left with 58 of them). My friend has 14 kingsnakes. My mother also has 67 nissan kicks cars. I also have 61 mules (maybe I just need some of them). My grandfather has 87 realme mobiles. My grandmother has 14 buick enclave cars. My friend also has 60 manatees. I also have 30 hawks (I like these a lot). I also have 29 hummingbirds (they were given to me as a gift). My sister has 42 ducks. My father has 95 huawei mate 70 mobiles. My cousin has 65 newts. I also have 2 buffaloes (I really like them). My mother also has 68 huawei nova 12s mobiles. I also have 47 samsung galaxy z fold6 mobiles (it is a funny story how I have 47 of them: initially I had 71, then I also got another 45 making it a total of 116, then I got another 21 making it a total of 137, but then I lost 90 of them so eventually I am left with 47 of them now). My mother also has 85 mazda cx-50 cars. My friend also has 51 google (pixel) mobiles. My sister also has 98 ford edge cars. I also have 96 blackberry mobiles (here is why I have these many: initially I had 64 of them, then I lost 56 of them, but then I got another 100 of them, but then I lost 12 of them, so at the end I am left with 96 of them). My friend also has 59 samsung galaxy f05 mobiles. My brother has 65 zebras. My father also has 39 vivo mobiles. My aunt also has 47 toyota avalon cars. I also have 40 honda civic cars (it is a funny story how I have 40 of them: initially I had 23, then I also got another 21 making it a total of 44, then I got another 84 making it a total of 128, but then I lost 88 of them so eventually I am left with 40 of them now). I also have 51 pigeons (very happy to have them). I also have 1 subaru impreza cars (it is a funny story how I have 1 of them: initially I had 82, then I also got another 56 making it a total of 138, then I got another 12 making it a total of 150, but then I lost 149 of them so eventually I am left with 1 of them now). My grandmother also has 10 huawei nova 13 mobiles. I also have 84 huawei pura 70 mobiles (here is why I have these many: initially I had 44 of them, then I lost 21 of them, but then I got another 71 of them, but then I lost 10 of them, so at the end I am left with 84 of them). My brother also has 55 jellyfish. I also have 15 honda cr-z cars (I really like them). I also have 53 flamingoes (I like these a lot). My grandfather also has 65 nissan frintier cars. My aunt also has 86 albatross. My brother also has 77 lemurs. I also have 10 ponys (one day, I will have more of them). My friend also has 47 iphone 13 mobiles. I also have 36 audi a6 cars (it is a funny story how I have 36 of them: initially I had 37, then I also got another 80 making it a total of 117, then I got another 60 making it a total of 177, but then I lost 141 of them so eventually I am left with 36 of them now). I also have 56 mazda cx-30 cars (very happy to have them). My grandmother also has 31 nissan ariya cars. My grandfather also has 12 iphone 11 mobiles. My brother also has 49 huawei nova 12 pro mobiles. My friend also has 74 cobras. My sister also has 58 mazda cx-5 cars. I also have 78 honda element cars (here is why I have these many: initially I had 93 of them, then I lost 80 of them, but then I got another 95 of them, but then I lost 30 of them, so at the end I am left with 78 of them). My grandmother also has 58 htc mobiles. My cousin also has 35 boars. I also have 53 huawei mate x6 mobiles (here is why I have these many: initially I had 81 of them, then I lost 74 of them, but then I got another 68 of them, but then I lost 22 of them, so at the end I am left with 53 of them). My grandfather also has 70 dolphins. I also have 5 iphone 7 mobiles (it is a funny story how I have 5 of them: initially I had 48, then I also got another 88 making it a total of 136, then I got another 29 making it a total of 165, but then I lost 160 of them so eventually I am left with 5 of them now). I also have 25 crows (here is why I have these many: initially I had 97 of them, then I lost 57 of them, but then I got another 47 of them, but then I lost 62 of them, so at the end I am left with 25 of them). My uncle has 77 subaru outback cars. I also have 45 toyota corolla cars (maybe I just need some of them). My sister also has 22 mazda cx-90 cars. I also have 66 hyenas (received them last week). My sister also has 37 penguins. I also have 35 goldfish (here is why I have these many: initially I had 91 of them, then I lost 59 of them, but then I got another 97 of them, but then I lost 94 of them, so at the end I am left with 35 of them). My mother also has 27 toyota c-hr cars. My sister also has 68 dodge challenger cars. My cousin also has 70 yaks. My aunt also has 29 reindeer. My uncle also has 38 zte mobiles. I also have 75 honda pilot cars (here is why I have these many: initially I had 54 of them, then I lost 32 of them, but then I got another 54 of them, but then I lost 1 of them, so at the end I am left with 75 of them). I also have 62 nissan maxima cars (here is why I have these many: initially I had 70 of them, then I lost 12 of them, but then I got another 10 of them, but then I lost 6 of them, so at the end I am left with 62 of them). My brother also has 37 nissan leaf cars. I also have 66 python snakes (happt to have them). I also have 37 iphone 15 mobiles (it is a funny story how I have 37 of them: initially I had 60, then I also got another 69 making it a total of 129, then I got another 19 making it a total of 148, but then I lost 111 of them so eventually I am left with 37 of them now). My cousin also has 70 nokia mobiles. My aunt also has 56 nissan armada cars. My friend also has 2 iphone x mobiles. My brother also has 88 wolves. My cousin also has 53 salmon. My grandfather also has 88 mamba snakes. My father also has 90 samsung galaxy m55s mobiles. My friend also has 21 toyota 4runnertoyota sequoia cars. I also have 49 toyota highlander cars (I really like them). My grandfather also has 16 lions. My sister also has 67 samsung galaxy a35 mobiles. I also have 9 walrus (hope to have more in the future). My sister also has 10 toyota rav4 cars. My aunt also has 67 samsung galaxy s24 mobiles. My brother also has 83 cranes. My sister also has 25 huawei pura 70 pro mobiles. I also have 27 jeep gladiator cars (happt to have them). I also have 75 volkswagen golf cars (I am in love with them). My grandfather also has 96 llamas. I also have 17 wasps (received them last month). I also have 27 huawei nova 12i mobiles (here is why I have these many: initially I had 22 of them, then I lost 16 of them, but then I got another 47 of them, but then I lost 26 of them, so at the end I am left with 27 of them). My aunt also has 92 samsung galaxy tab s10 mobiles. My father also has 4 rhinoceros. I also have 57 nissan pathfinder cars (it is a funny story how I have 57 of them: initially I had 78, then I also got another 85 making it a total of 163, then I got another 38 making it a total of 201, but then I lost 144 of them so eventually I am left with 57 of them now). My sister also has 34 huawei nova 11 se mobiles. I also have 45 oppo mobiles (maybe I just need some of them). I also have 66 hens (here is why I have these many: initially I had 22 of them, then I lost 20 of them, but then I got another 89 of them, but then I lost 25 of them, so at the end I am left with 66 of them).  What is the sum of the total number of cars and animals/insects that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "5378a30e51ef05984cf07cddda7673094b552e60b4b417775ef7d2e913cb5985",
    "id": "bbeh:object_counting:115",
    "request": "My grandmother has 20 gorillas. My aunt has 1 xiaomi mobiles. My grandfather has 52 bees. My grandfather also has 70 samsung galaxy tab s10 mobiles. My aunt also has 82 huawei pura 70 ultra mobiles. I have 38 bouzoukis (here is why I have these many: initially I had 60 of them, then I lost 54 of them, but then I got another 44 of them, but then I lost 12 of them, so at the end I am left with 38 of them). My grandmother also has 78 marimbas. My mother has 55 realme mobiles. I also have 69 guitars (here is why I have these many: initially I had 14 of them, then I lost 11 of them, but then I got another 72 of them, but then I lost 6 of them, so at the end I am left with 69 of them). I also have 49 reindeer (here is why I have these many: initially I had 58 of them, then I lost 54 of them, but then I got another 56 of them, but then I lost 11 of them, so at the end I am left with 49 of them). My aunt also has 24 pigeons. My friend has 87 armadillos. I also have 8 tecno mobiles (received them yesterday). My aunt also has 58 iphone 16 mobiles. I also have 77 samsung galaxy f05 mobiles (here is why I have these many: initially I had 18 of them, then I lost 15 of them, but then I got another 96 of them, but then I lost 22 of them, so at the end I am left with 77 of them). My friend also has 93 biwas. I also have 1 eagle (here is why I have these many: initially I had 87 of them, then I lost 58 of them, but then I got another 82 of them, but then I lost 110 of them, so at the end I am left with 1 of them). I also have 81 iphone 8 mobiles (it is a funny story how I have 81 of them: initially I had 61, then I also got another 28 making it a total of 89, then I got another 58 making it a total of 147, but then I lost 66 of them so eventually I am left with 81 of them now). My cousin has 30 mandolins. My uncle has 94 cheetahs. I also have 97 prairie dogs (it is a funny story how I have 97 of them: initially I had 52, then I also got another 43 making it a total of 95, then I got another 64 making it a total of 159, but then I lost 62 of them so eventually I am left with 97 of them now). My grandmother also has 33 rabbits. My mother also has 44 samsung galaxy a16 mobiles. My aunt also has 4 oppo mobiles. My friend also has 91 hammered dulcimers. I also have 85 infinix mobiles (it is a funny story how I have 85 of them: initially I had 55, then I also got another 92 making it a total of 147, then I got another 23 making it a total of 170, but then I lost 85 of them so eventually I am left with 85 of them now). My mother also has 88 donkeys. My father has 68 panpipes. My mother also has 23 zte mobiles. My friend also has 1 harp. My aunt also has 23 google (pixel) mobiles. I also have 38 peacocks (I am in love with them). My aunt also has 26 ladybugs. My sister has 57 electric guitars. I also have 39 badgers (they were given to me as a gift). My grandmother also has 7 tortoises. My grandmother also has 23 electric pianos. My uncle also has 58 mules. My sister also has 10 hippopotamus. I also have 31 trumpets (they were given to me as a gift). My father also has 1 banjo. My grandmother also has 8 possums. My uncle also has 95 sloths. My brother has 88 vibraphone, steelpans. My father also has 6 zithers. I also have 15 samsung galaxy a15 mobiles (it is a funny story how I have 15 of them: initially I had 48, then I also got another 37 making it a total of 85, then I got another 96 making it a total of 181, but then I lost 166 of them so eventually I am left with 15 of them now). My mother also has 15 shrews. My aunt also has 27 samsung galaxy a55 mobiles. I also have 24 huawei nova 13 mobiles (here is why I have these many: initially I had 90 of them, then I lost 78 of them, but then I got another 17 of them, but then I lost 5 of them, so at the end I am left with 24 of them). I also have 36 echidnas (very happy to have them). My aunt also has 88 otters. I also have 78 bongos (received them last month). My grandmother also has 67 huawei nova 11 se mobiles. My friend also has 88 djembes. I also have 55 guinea pigs (here is why I have these many: initially I had 75 of them, then I lost 56 of them, but then I got another 57 of them, but then I lost 21 of them, so at the end I am left with 55 of them). My grandmother also has 99 glockenspiels. My mother also has 8 samsung galaxy z fold6 mobiles. My friend also has 81 iphone 6 mobiles. My friend also has 36 n'gonis. I also have 89 htc mobiles (feeling great about this). My brother also has 38 iphone 11 mobiles. My aunt also has 7 chameleons. My brother also has 91 mbiras. My father also has 48 cockroaches. My sister also has 18 sruti boxes. My mother also has 64 harpsichords. My sister also has 42 cellos. My aunt also has 48 antelopes. My grandmother also has 64 setars. I also have 80 iphone 14 mobiles (hope to have more in the future). My mother also has 64 motorola mobiles. My brother also has 52 accordions. My friend also has 19 honor mobiles. I also have 54 huawei pura 70 pro+ mobiles (received them last month). I also have 19 samsung galaxy z fold5 mobiles (feeling great about this). My father also has 37 maracas. I also have 80 cows (it is a funny story how I have 80 of them: initially I had 73, then I also got another 84 making it a total of 157, then I got another 15 making it a total of 172, but then I lost 92 of them so eventually I am left with 80 of them now). My brother also has 74 pianos. My aunt also has 26 tars. I also have 40 kazoos (here is why I have these many: initially I had 36 of them, then I lost 25 of them, but then I got another 65 of them, but then I lost 36 of them, so at the end I am left with 40 of them). My cousin also has 28 synthesizer keyboards. My aunt also has 60 autoharps. I also have 40 elks (received them yesterday). My father also has 38 chimpanzees. My sister also has 22 kangaroos. I also have 43 pipas (here is why I have these many: initially I had 36 of them, then I lost 21 of them, but then I got another 60 of them, but then I lost 32 of them, so at the end I am left with 43 of them). I also have 49 pandas (maybe I just need some of them). My grandfather also has 71 bass guitars. I also have 83 iphone 13 mobiles (here is why I have these many: initially I had 81 of them, then I lost 34 of them, but then I got another 76 of them, but then I lost 40 of them, so at the end I am left with 83 of them). My cousin also has 11 xylophones. My brother also has 7 samsung galaxy m55s mobiles. I also have 39 sheep (I am in love with them). I also have 33 octopus (it is a funny story how I have 33 of them: initially I had 22, then I also got another 87 making it a total of 109, then I got another 38 making it a total of 147, but then I lost 114 of them so eventually I am left with 33 of them now). I also have 39 iphone x mobiles (thrilled to have these). My cousin also has 15 flys. My aunt also has 54 timpanis. I also have 46 nadaswarams (thrilled to have these). My grandfather also has 67 saxophones.  What is the sum of the total number of mobiles and musical instruments that I have?",
    "response_contract": {
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    "role": "final",
    "task": "object_counting"
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  {
    "dataset": "bbeh",
    "family": "e3f3d35b0c4fb7c89ecf5d3ec9c62ca000ff044fcc352e16987c4d113abe0134",
    "id": "bbeh:object_counting:118",
    "request": "I have 44 fish (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 53 of them, but then I lost 10 of them, so at the end I am left with 44 of them). I also have 14 honda accord cars (happt to have them). I also have 47 anteaters (maybe I just need some of them). I also have 8 jellyfish (here is why I have these many: initially I had 94 of them, then I lost 27 of them, but then I got another 69 of them, but then I lost 128 of them, so at the end I am left with 8 of them). I also have 10 clementinefigs (here is why I have these many: initially I had 64 of them, then I lost 33 of them, but then I got another 98 of them, but then I lost 119 of them, so at the end I am left with 10 of them). My mother has 93 pineapples. I also have 32 autumn royal grapes (feeling good about this). I also have 28 mazda cx-90 cars (received them yesterday). My sister has 45 quinces. My aunt has 11 starfruits. I also have 69 cod (I am in love with them). My grandmother has 70 volkswagen golf cars. I also have 66 monkeys (received them yesterday). My aunt also has 27 pinot noir grapes. My cousin has 14 grenache grapes. My sister also has 20 nissan armada cars. My brother has 91 penguins. I also have 22 garter snakes (very happy to have them). My friend has 33 dragonfruits. My cousin also has 28 opossums. My friend also has 3 elderberryoranges. My aunt also has 50 falcons. My father has 10 mangoes. My uncle has 78 honda cr-z cars. I also have 1 honda insight cars (I am in love with them). I also have 48 bees (it is a funny story how I have 48 of them: initially I had 83, then I also got another 50 making it a total of 133, then I got another 88 making it a total of 221, but then I lost 173 of them so eventually I am left with 48 of them now). My sister also has 57 nebbiolo grapes. I also have 67 cats (they are great). My friend also has 24 peacocks. My friend also has 85 pomegranates. My aunt also has 52 moose. I also have 45 nissan altima cars (here is why I have these many: initially I had 60 of them, then I lost 39 of them, but then I got another 60 of them, but then I lost 36 of them, so at the end I am left with 45 of them). I also have 44 aardvarks (it is a funny story how I have 44 of them: initially I had 46, then I also got another 52 making it a total of 98, then I got another 97 making it a total of 195, but then I lost 151 of them so eventually I am left with 44 of them now). I also have 97 lions (it is a funny story how I have 97 of them: initially I had 43, then I also got another 64 making it a total of 107, then I got another 33 making it a total of 140, but then I lost 43 of them so eventually I am left with 97 of them now). I also have 77 muscat grapes (it is a funny story how I have 77 of them: initially I had 85, then I also got another 14 making it a total of 99, then I got another 53 making it a total of 152, but then I lost 75 of them so eventually I am left with 77 of them now). My aunt also has 70 kiwis. My father also has 78 syrah grapes. My grandmother also has 69 nissan ariya cars. I also have 70 honeydews (it is a funny story how I have 70 of them: initially I had 12, then I also got another 67 making it a total of 79, then I got another 57 making it a total of 136, but then I lost 66 of them so eventually I am left with 70 of them now). My father also has 82 raspberrys. My father also has 28 jackfruits. I also have 37 sloths (here is why I have these many: initially I had 29 of them, then I lost 17 of them, but then I got another 40 of them, but then I lost 15 of them, so at the end I am left with 37 of them). My cousin also has 84 peaches. My grandfather has 31 macaws. I also have 50 seahorses (received them yesterday). My mother also has 35 grapefruits. My brother also has 11 nissan maxima cars. My sister also has 64 honeycrisp apples. My uncle also has 24 honda passport cars. I also have 26 trout (they are great). I also have 41 lemons (it is a funny story how I have 41 of them: initially I had 33, then I also got another 89 making it a total of 122, then I got another 70 making it a total of 192, but then I lost 151 of them so eventually I am left with 41 of them now). I also have 41 subaru impreza cars (I like these a lot). My friend also has 51 storks. I also have 49 prairie dogs (here is why I have these many: initially I had 70 of them, then I lost 25 of them, but then I got another 53 of them, but then I lost 49 of them, so at the end I am left with 49 of them). I also have 80 newts (I am in love with them). My uncle also has 60 spartan apples. My sister also has 24 salmon. I also have 3 toyota camry cars (they are great). My cousin also has 45 ambrosia apples. My grandmother also has 57 toyota tundra cars. My sister also has 83 mamba snakes. I also have 12 flys (it is a funny story how I have 12 of them: initially I had 15, then I also got another 81 making it a total of 96, then I got another 25 making it a total of 121, but then I lost 109 of them so eventually I am left with 12 of them now). I also have 79 honda element cars (it is a funny story how I have 79 of them: initially I had 38, then I also got another 89 making it a total of 127, then I got another 10 making it a total of 137, but then I lost 58 of them so eventually I am left with 79 of them now). I also have 67 jeep gladiator cars (received them last week). My sister also has 67 boars. I also have 3 possums (it is a funny story how I have 3 of them: initially I had 15, then I also got another 82 making it a total of 97, then I got another 13 making it a total of 110, but then I lost 107 of them so eventually I am left with 3 of them now). I also have 44 toyota highlander cars (here is why I have these many: initially I had 44 of them, then I lost 22 of them, but then I got another 76 of them, but then I lost 54 of them, so at the end I am left with 44 of them). My cousin also has 96 mazda3 cars. My friend also has 29 quails. My cousin also has 49 audi a6 cars. My aunt also has 74 reindeer. I also have 3 giraffes (it is a funny story how I have 3 of them: initially I had 36, then I also got another 64 making it a total of 100, then I got another 72 making it a total of 172, but then I lost 169 of them so eventually I am left with 3 of them now). I also have 5 mazda2 cars (I like these a lot). I also have 20 bats (received them last month). My uncle also has 67 walrus. My cousin also has 13 yaks. My father also has 72 mazda mx-30 cars. My brother also has 96 eagles. My friend also has 27 goldfish. My brother also has 10 mazda cx-3 cars. I also have 90 bananas (here is why I have these many: initially I had 54 of them, then I lost 51 of them, but then I got another 100 of them, but then I lost 13 of them, so at the end I am left with 90 of them). My uncle also has 4 snails. I also have 12 mazda cx-30 cars (hope to have more in the future). I also have 88 nissan murano cars (one day, I will have more of them). My aunt also has 29 nissan sentra cars. My brother also has 87 chardonnay grapes. My cousin also has 27 mazda cx-80 cars. My grandmother also has 36 cranberrys. My sister also has 12 honda odyssey cars. I also have 46 cotton candy grapes (thrilled to have these). I also have 74 tesla model s cars (it is a funny story how I have 74 of them: initially I had 28, then I also got another 79 making it a total of 107, then I got another 57 making it a total of 164, but then I lost 90 of them so eventually I am left with 74 of them now). My grandmother also has 41 plantains. My brother also has 16 riesling grapes. I also have 35 crows (here is why I have these many: initially I had 97 of them, then I lost 34 of them, but then I got another 33 of them, but then I lost 61 of them, so at the end I am left with 35 of them). My father also has 55 hyundai santa fe cars. My uncle also has 77 alpacas. I also have 64 toyota sienna cars (it is a funny story how I have 64 of them: initially I had 29, then I also got another 45 making it a total of 74, then I got another 78 making it a total of 152, but then I lost 88 of them so eventually I am left with 64 of them now). My brother also has 8 cantaloupes. My brother also has 12 nissan kicks cars. I also have 94 tortoises (it is a funny story how I have 94 of them: initially I had 96, then I also got another 66 making it a total of 162, then I got another 72 making it a total of 234, but then I lost 140 of them so eventually I am left with 94 of them now). My uncle also has 79 corgis. My uncle also has 11 toyota avalon cars. My sister also has 54 hyenas. I also have 81 hamsters (here is why I have these many: initially I had 22 of them, then I lost 19 of them, but then I got another 85 of them, but then I lost 7 of them, so at the end I am left with 81 of them). My cousin also has 32 hippopotamus. I also have 87 badgers (received them last month). I also have 47 breadfruits (it is a funny story how I have 47 of them: initially I had 62, then I also got another 40 making it a total of 102, then I got another 52 making it a total of 154, but then I lost 107 of them so eventually I am left with 47 of them now). My sister also has 46 ginger gold apples. I also have 99 dolphins (hope to have more in the future). I also have 73 parrots (it is a funny story how I have 73 of them: initially I had 82, then I also got another 81 making it a total of 163, then I got another 29 making it a total of 192, but then I lost 119 of them so eventually I am left with 73 of them now). I also have 56 alligators (I am in love with them). I also have 45 ford edge cars (here is why I have these many: initially I had 76 of them, then I lost 17 of them, but then I got another 56 of them, but then I lost 70 of them, so at the end I am left with 45 of them). My sister also has 73 buick enclave cars. My cousin also has 58 papayas. I also have 31 persimmons (it is a funny story how I have 31 of them: initially I had 28, then I also got another 81 making it a total of 109, then I got another 62 making it a total of 171, but then I lost 140 of them so eventually I am left with 31 of them now). My sister also has 30 kingsnakes. My grandmother also has 90 guinea pigs. My aunt also has 77 soursops. My brother also has 30 mulberrys. My grandfather also has 3 honda prologuq cars. I also have 30 strawberrys (I am in love with them).  What is the sum of the total number of animals/insects and fruits that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "3b752c25df47b0f2fa7aa7ef07cc79c38281b4ef473fab361881c815f1ad7b6f",
    "id": "bbeh:object_counting:125",
    "request": "I have 78 toyota sienna cars (it is a funny story how I have 78 of them: initially I had 95, then I also got another 45 making it a total of 140, then I got another 47 making it a total of 187, but then I lost 109 of them so eventually I am left with 78 of them now). My father has 45 pigeons. I also have 13 iphone 11 mobiles (I really like them). I also have 53 hummingbirds (here is why I have these many: initially I had 68 of them, then I lost 60 of them, but then I got another 64 of them, but then I lost 19 of them, so at the end I am left with 53 of them). My father also has 9 hawks. My sister has 66 salmon. My cousin has 55 toyota tacoma cars. My friend has 81 toyota c-hr cars. My aunt has 22 iphone 12 mobiles. My brother has 69 mazda cx-50 cars. My aunt also has 45 toyota highlander cars. I also have 74 zte mobiles (thrilled to have these). I also have 22 samsung galaxy s24 mobiles (I like these a lot). I also have 25 mamba snakes (it is a funny story how I have 25 of them: initially I had 92, then I also got another 83 making it a total of 175, then I got another 10 making it a total of 185, but then I lost 160 of them so eventually I am left with 25 of them now). My aunt also has 71 giraffes. I also have 12 htc mobiles (feeling great about this). I also have 47 blackberry mobiles (I am in love with them). I also have 4 lg mobiles (here is why I have these many: initially I had 46 of them, then I lost 38 of them, but then I got another 96 of them, but then I lost 100 of them, so at the end I am left with 4 of them). My father also has 93 kia niro cars. My sister also has 14 falcons. My father also has 86 jeep gladiator cars. I also have 52 ravens (it is a funny story how I have 52 of them: initially I had 71, then I also got another 45 making it a total of 116, then I got another 58 making it a total of 174, but then I lost 122 of them so eventually I am left with 52 of them now). My grandmother has 36 samsung galaxy a15 mobiles. I also have 1 butterfly (here is why I have these many: initially I had 84 of them, then I lost 56 of them, but then I got another 76 of them, but then I lost 103 of them, so at the end I am left with 1 of them). My aunt also has 41 nissan frintier cars. My friend also has 85 goldfish. My mother has 80 iphone 15 mobiles. My uncle has 30 mazda6 cars. I also have 42 buick enclave cars (I do not think I need this much). My grandfather has 26 oppo mobiles. I also have 36 iphone 13 mobiles (they are great). I also have 4 peacocks (happt to have them). I also have 41 kangaroos (it is a funny story how I have 41 of them: initially I had 22, then I also got another 21 making it a total of 43, then I got another 64 making it a total of 107, but then I lost 66 of them so eventually I am left with 41 of them now). My father also has 6 huawei mate x6 mobiles. I also have 4 honda pilot cars (it is a funny story how I have 4 of them: initially I had 84, then I also got another 84 making it a total of 168, then I got another 43 making it a total of 211, but then I lost 207 of them so eventually I am left with 4 of them now). I also have 30 rhinoceros (it is a funny story how I have 30 of them: initially I had 72, then I also got another 47 making it a total of 119, then I got another 64 making it a total of 183, but then I lost 153 of them so eventually I am left with 30 of them now). My friend also has 12 cats. My sister also has 66 toyota 4runnertoyota sequoia cars. My mother also has 59 subaru impreza cars. I also have 5 iphone 16 mobiles (here is why I have these many: initially I had 22 of them, then I lost 21 of them, but then I got another 36 of them, but then I lost 32 of them, so at the end I am left with 5 of them). My father also has 9 samsung galaxy a35 mobiles. My father also has 42 elephants. I also have 19 opossums (I am in love with them). I also have 96 bears (feeling great about this). My aunt also has 74 hyundai santa fe cars. I also have 6 iphone 14 mobiles (I really like them). I also have 12 motorola mobiles (received them yesterday). My father also has 68 elks. My grandmother also has 92 rattlesnakes. My aunt also has 74 chinchillas. My grandmother also has 57 orangutans. My aunt also has 32 shrimps. I also have 29 huawei nova 11 se mobiles (I like these a lot). I also have 10 nissan titan cars (received them yesterday). I also have 71 ponys (it is a funny story how I have 71 of them: initially I had 22, then I also got another 29 making it a total of 51, then I got another 31 making it a total of 82, but then I lost 11 of them so eventually I am left with 71 of them now). I also have 42 oneplus mobiles (it is a funny story how I have 42 of them: initially I had 12, then I also got another 29 making it a total of 41, then I got another 84 making it a total of 125, but then I lost 83 of them so eventually I am left with 42 of them now). I also have 20 vivo mobiles (it is a funny story how I have 20 of them: initially I had 18, then I also got another 44 making it a total of 62, then I got another 66 making it a total of 128, but then I lost 108 of them so eventually I am left with 20 of them now). I also have 1 fox (received them last week). I also have 67 ford edge cars (feeling good about this). My uncle also has 21 huawei nova 12i mobiles. I also have 21 albatross (it is a funny story how I have 21 of them: initially I had 77, then I also got another 26 making it a total of 103, then I got another 89 making it a total of 192, but then I lost 171 of them so eventually I am left with 21 of them now). My grandfather also has 57 mules. I also have 90 nissan maxima cars (one day, I will have more of them). My uncle also has 43 hens. My mother also has 85 huawei pura 70 pro mobiles. I also have 51 sheep (here is why I have these many: initially I had 17 of them, then I lost 16 of them, but then I got another 57 of them, but then I lost 7 of them, so at the end I am left with 51 of them). I also have 98 lemurs (it is a funny story how I have 98 of them: initially I had 73, then I also got another 66 making it a total of 139, then I got another 97 making it a total of 236, but then I lost 138 of them so eventually I am left with 98 of them now). I also have 21 cobras (it is a funny story how I have 21 of them: initially I had 52, then I also got another 95 making it a total of 147, then I got another 76 making it a total of 223, but then I lost 202 of them so eventually I am left with 21 of them now). I also have 60 huawei pura 70 ultra mobiles (one day, I will have more of them). I also have 64 volkswagen golf cars (feeling great about this). My friend also has 80 samsung galaxy z fold6 mobiles. I also have 34 eagles (it is a funny story how I have 34 of them: initially I had 76, then I also got another 42 making it a total of 118, then I got another 39 making it a total of 157, but then I lost 123 of them so eventually I am left with 34 of them now). My grandmother also has 1 mazda3 cars. My friend also has 40 wolves. My friend also has 88 tesla model s cars. I also have 35 huawei pura 70 mobiles (here is why I have these many: initially I had 65 of them, then I lost 34 of them, but then I got another 97 of them, but then I lost 93 of them, so at the end I am left with 35 of them). I also have 46 apes (I am in love with them). My mother also has 64 newts. My father also has 48 crows. My brother also has 63 nissan sentra cars. My sister also has 81 raccoons. My grandmother also has 60 nissan kicks cars. I also have 24 nissan ariya cars (it is a funny story how I have 24 of them: initially I had 39, then I also got another 70 making it a total of 109, then I got another 93 making it a total of 202, but then I lost 178 of them so eventually I am left with 24 of them now). My sister also has 39 samsung galaxy a55 mobiles. I also have 50 frogs (very happy to have them). I also have 88 yaks (it is a funny story how I have 88 of them: initially I had 16, then I also got another 47 making it a total of 63, then I got another 30 making it a total of 93, but then I lost 5 of them so eventually I am left with 88 of them now). My cousin also has 12 anteaters. I also have 90 geese (here is why I have these many: initially I had 51 of them, then I lost 20 of them, but then I got another 75 of them, but then I lost 16 of them, so at the end I am left with 90 of them). My father also has 88 echidnas. I also have 5 nokia mobiles (it is a funny story how I have 5 of them: initially I had 25, then I also got another 19 making it a total of 44, then I got another 34 making it a total of 78, but then I lost 73 of them so eventually I am left with 5 of them now). I also have 90 sharks (I am in love with them). I also have 35 toyota camry cars (one day, I will have more of them). I also have 1 toyota prius cars (planning to have more in the future). My grandfather also has 73 subaru outback cars. My brother also has 46 king cobra snakes. My grandmother also has 57 macaws. My uncle also has 55 samsung galaxy m55s mobiles. I also have 3 honda civic cars (very happy to have them). My cousin also has 94 dogs. I also have 78 mazda cx-90 cars (here is why I have these many: initially I had 67 of them, then I lost 22 of them, but then I got another 58 of them, but then I lost 25 of them, so at the end I am left with 78 of them). I also have 41 cod (it is a funny story how I have 41 of them: initially I had 80, then I also got another 84 making it a total of 164, then I got another 13 making it a total of 177, but then I lost 136 of them so eventually I am left with 41 of them now). My aunt also has 64 moose. My mother also has 84 iphone 6 mobiles. I also have 68 samsung galaxy c55 mobiles (hope to have more in the future). My friend also has 68 meizu mobiles. My sister also has 26 toyota tundra cars. I also have 14 ladybugs (it is a funny story how I have 14 of them: initially I had 75, then I also got another 28 making it a total of 103, then I got another 88 making it a total of 191, but then I lost 177 of them so eventually I am left with 14 of them now). My grandmother also has 30 toyota avalon cars. My aunt also has 37 python snakes. My brother also has 49 possums. My cousin also has 18 tecno mobiles. My cousin also has 87 honda cr-v cars. I also have 52 huawei mate 70 mobiles (here is why I have these many: initially I had 50 of them, then I lost 23 of them, but then I got another 43 of them, but then I lost 18 of them, so at the end I am left with 52 of them). I also have 17 deer (it is a funny story how I have 17 of them: initially I had 48, then I also got another 38 making it a total of 86, then I got another 81 making it a total of 167, but then I lost 150 of them so eventually I am left with 17 of them now). I also have 24 samsung galaxy a16 mobiles (I do not think I need this much). My cousin also has 7 cows.  What is the absolute difference of the total number of mobiles and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "5da265a50d70be018a8bf5197a49896edb6b588f1a8dcbfa1a66ad4a2279967e",
    "id": "bbeh:object_counting:128",
    "request": "My sister has 33 cherrys. I have 19 pomegranates (they were given to me as a gift). I also have 35 soursops (maybe I just need some of them). My mother has 27 zithers. My friend has 39 cantaloupes. I also have 74 dulcimers (I really like them). My grandfather has 76 merlot grapes. My uncle has 49 guinea pigs. I also have 87 squirrels (it is a funny story how I have 87 of them: initially I had 30, then I also got another 98 making it a total of 128, then I got another 68 making it a total of 196, but then I lost 109 of them so eventually I am left with 87 of them now). My sister also has 82 mridangams. I also have 23 jackfruits (here is why I have these many: initially I had 92 of them, then I lost 43 of them, but then I got another 25 of them, but then I lost 51 of them, so at the end I am left with 23 of them). My brother has 23 harps. My friend also has 45 autumn royal grapes. My brother also has 18 manatees. My sister also has 89 chameleons. I also have 45 french horns (maybe I just need some of them). My grandfather also has 90 anteaters. My grandfather also has 21 persimmons. I also have 86 tablas (it is a funny story how I have 86 of them: initially I had 65, then I also got another 46 making it a total of 111, then I got another 85 making it a total of 196, but then I lost 110 of them so eventually I am left with 86 of them now). My cousin has 43 grapefruits. I also have 71 chimpanzees (I do not think I need this much). I also have 76 zebras (it is a funny story how I have 76 of them: initially I had 93, then I also got another 43 making it a total of 136, then I got another 24 making it a total of 160, but then I lost 84 of them so eventually I am left with 76 of them now). My sister also has 59 possums. I also have 6 blueberrys (happt to have them). My aunt has 33 guzhengs. My cousin also has 38 elderberryoranges. My grandmother has 39 donkeys. I also have 71 pandas (it is a funny story how I have 71 of them: initially I had 51, then I also got another 56 making it a total of 107, then I got another 40 making it a total of 147, but then I lost 76 of them so eventually I am left with 71 of them now). My grandfather also has 41 breadfruits. I also have 88 harpsichords (here is why I have these many: initially I had 63 of them, then I lost 33 of them, but then I got another 73 of them, but then I lost 15 of them, so at the end I am left with 88 of them). My father has 75 octopus. My aunt also has 78 pears. I also have 43 congas (it is a funny story how I have 43 of them: initially I had 54, then I also got another 50 making it a total of 104, then I got another 80 making it a total of 184, but then I lost 141 of them so eventually I am left with 43 of them now). My mother also has 17 crabs. I also have 30 didgeridoos (it is a funny story how I have 30 of them: initially I had 73, then I also got another 23 making it a total of 96, then I got another 98 making it a total of 194, but then I lost 164 of them so eventually I am left with 30 of them now). My mother also has 60 marimbas. My uncle also has 34 starfruits. I also have 6 balafons (here is why I have these many: initially I had 78 of them, then I lost 35 of them, but then I got another 79 of them, but then I lost 116 of them, so at the end I am left with 6 of them). I also have 88 fish (it is a funny story how I have 88 of them: initially I had 20, then I also got another 26 making it a total of 46, then I got another 74 making it a total of 120, but then I lost 32 of them so eventually I am left with 88 of them now). I also have 24 ukuleles (here is why I have these many: initially I had 56 of them, then I lost 28 of them, but then I got another 58 of them, but then I lost 62 of them, so at the end I am left with 24 of them). I also have 7 cranberrys (I am in love with them). I also have 32 magpies (here is why I have these many: initially I had 57 of them, then I lost 19 of them, but then I got another 58 of them, but then I lost 64 of them, so at the end I am left with 32 of them). My father also has 34 coconuts. I also have 48 lions (happt to have them). My sister also has 6 papayas. My father also has 4 deer. I also have 15 panpipes (it is a funny story how I have 15 of them: initially I had 87, then I also got another 39 making it a total of 126, then I got another 31 making it a total of 157, but then I lost 142 of them so eventually I am left with 15 of them now). My cousin also has 8 reindeer. I also have 88 wasps (here is why I have these many: initially I had 57 of them, then I lost 17 of them, but then I got another 100 of them, but then I lost 52 of them, so at the end I am left with 88 of them). I also have 96 elks (I am in love with them). My sister also has 9 electric pianos. My grandmother also has 30 maracas. My uncle also has 32 electric guitars. I also have 23 kiwis (it is a funny story how I have 23 of them: initially I had 13, then I also got another 87 making it a total of 100, then I got another 80 making it a total of 180, but then I lost 157 of them so eventually I am left with 23 of them now). I also have 4 kalimbas (here is why I have these many: initially I had 41 of them, then I lost 35 of them, but then I got another 97 of them, but then I lost 99 of them, so at the end I am left with 4 of them). My brother also has 34 ginger gold apples. My grandfather also has 77 flutes. My grandfather also has 53 accordions. My friend also has 41 pineapples. My grandmother also has 77 cows. My grandmother also has 93 crows. My grandfather also has 71 armadillos. I also have 72 riesling grapes (here is why I have these many: initially I had 46 of them, then I lost 10 of them, but then I got another 43 of them, but then I lost 7 of them, so at the end I am left with 72 of them). My brother also has 27 dragonfruits. My brother also has 10 honeycrisp apples. My cousin also has 76 theremins. I also have 4 hippopotamus (hope to have more in the future). My cousin also has 98 trout. My father also has 17 mulberrys. My aunt also has 74 mosquitoes. I also have 64 mice (it is a funny story how I have 64 of them: initially I had 33, then I also got another 86 making it a total of 119, then I got another 20 making it a total of 139, but then I lost 75 of them so eventually I am left with 64 of them now). I also have 95 honeydews (planning to have more in the future). My cousin also has 38 envy apples. My cousin also has 87 organs. I also have 71 tortoises (maybe I just need some of them). I also have 45 watermelons (it is a funny story how I have 45 of them: initially I had 52, then I also got another 33 making it a total of 85, then I got another 92 making it a total of 177, but then I lost 132 of them so eventually I am left with 45 of them now). I also have 15 roosters (it is a funny story how I have 15 of them: initially I had 92, then I also got another 32 making it a total of 124, then I got another 47 making it a total of 171, but then I lost 156 of them so eventually I am left with 15 of them now). My mother also has 40 plantains. My friend also has 52 snails. My father also has 61 king cobra snakes. My brother also has 60 rababs. My cousin also has 18 whales. I also have 13 electric violins (I like these a lot). My friend also has 58 djembes. My brother also has 54 raspberrys. My sister also has 10 double bass. I also have 31 bassoons (here is why I have these many: initially I had 45 of them, then I lost 40 of them, but then I got another 33 of them, but then I lost 7 of them, so at the end I am left with 31 of them). My uncle also has 7 fuji apples. I also have 86 shamisens (it is a funny story how I have 86 of them: initially I had 41, then I also got another 30 making it a total of 71, then I got another 22 making it a total of 93, but then I lost 7 of them so eventually I am left with 86 of them now). My father also has 21 saxophones. I also have 47 trumpets (they were given to me as a gift). My father also has 2 mules. My grandfather also has 75 clementinefigs. My sister also has 45 owls. My aunt also has 78 llamas. My grandfather also has 77 pinot noir grapes. My uncle also has 82 electric bass. I also have 77 n'gonis (feeling good about this). My uncle also has 15 swans. My uncle also has 42 muscat grapes. My grandmother also has 77 syrah grapes. My mother also has 98 walrus.  What is the sum of the total number of animals/insects and musical instruments that I have?",
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  {
    "dataset": "bbeh",
    "family": "2dd949bacd91d06bbececf68668d7ba91dcedbbf89ba31fc0709b3dca7d930b7",
    "id": "bbeh:object_counting:131",
    "request": "My grandmother has 8 tesla model s cars. I have 37 balafons (received them yesterday). I also have 81 bears (here is why I have these many: initially I had 77 of them, then I lost 63 of them, but then I got another 95 of them, but then I lost 28 of them, so at the end I am left with 81 of them). I also have 73 audi a6 cars (received them yesterday). I also have 43 cats (one day, I will have more of them). My friend has 19 ferrets. My brother has 17 nissan titan cars. My cousin has 11 honda passport cars. My aunt has 81 violins. I also have 26 doves (it is a funny story how I have 26 of them: initially I had 97, then I also got another 18 making it a total of 115, then I got another 21 making it a total of 136, but then I lost 110 of them so eventually I am left with 26 of them now). My cousin also has 12 sazzes. My brother also has 82 wasps. My cousin also has 48 ocarinas. My friend also has 76 hamsters. I also have 51 emus (here is why I have these many: initially I had 32 of them, then I lost 15 of them, but then I got another 77 of them, but then I lost 43 of them, so at the end I am left with 51 of them). My grandfather has 18 nissan armada cars. My grandfather also has 54 tanpuras. My father has 23 mandolins. My father also has 87 alligators. I also have 85 kazoos (one day, I will have more of them). I also have 59 kalimbas (here is why I have these many: initially I had 44 of them, then I lost 34 of them, but then I got another 56 of them, but then I lost 7 of them, so at the end I am left with 59 of them). I also have 86 theremins (here is why I have these many: initially I had 57 of them, then I lost 28 of them, but then I got another 78 of them, but then I lost 21 of them, so at the end I am left with 86 of them). I also have 23 chameleons (they are great). My brother also has 8 nissan altima cars. I also have 63 buick enclave cars (planning to have more in the future). My grandfather also has 48 fish. I also have 24 djembes (it is a funny story how I have 24 of them: initially I had 79, then I also got another 63 making it a total of 142, then I got another 98 making it a total of 240, but then I lost 216 of them so eventually I am left with 24 of them now). My aunt also has 43 sruti boxes. My father also has 5 tigers. My grandfather also has 61 nissan sentra cars. I also have 95 mazda cx-5 cars (received them yesterday). My aunt also has 45 hyenas. I also have 97 elephants (here is why I have these many: initially I had 13 of them, then I lost 11 of them, but then I got another 100 of them, but then I lost 5 of them, so at the end I am left with 97 of them). I also have 59 mbiras (hope to have more in the future). I also have 61 toyota camry cars (I am in love with them). I also have 96 echidnas (here is why I have these many: initially I had 34 of them, then I lost 27 of them, but then I got another 94 of them, but then I lost 5 of them, so at the end I am left with 96 of them). My mother has 30 mazda3 cars. I also have 68 mazda cx-3 cars (I do not think I need this much). I also have 28 mazda2 cars (here is why I have these many: initially I had 52 of them, then I lost 12 of them, but then I got another 24 of them, but then I lost 36 of them, so at the end I am left with 28 of them). My uncle has 61 honda cr-z cars. My sister has 88 shehnais. I also have 67 panpipes (happt to have them). My friend also has 9 koalas. My friend also has 61 sitars. My father also has 92 volkswagen golf cars. I also have 42 honda hr-v cars (they are great). I also have 53 electric pianos (it is a funny story how I have 53 of them: initially I had 71, then I also got another 63 making it a total of 134, then I got another 99 making it a total of 233, but then I lost 180 of them so eventually I am left with 53 of them now). My uncle also has 66 french horns. I also have 67 subaru outback cars (they are great). My grandfather also has 43 setars. My mother also has 32 bouzoukis. My brother also has 59 toyota rav4 cars. My mother also has 57 pigeons. I also have 7 nissan murano cars (it is a funny story how I have 7 of them: initially I had 37, then I also got another 85 making it a total of 122, then I got another 90 making it a total of 212, but then I lost 205 of them so eventually I am left with 7 of them now). My grandmother also has 54 dodge challenger cars. I also have 62 erhus (it is a funny story how I have 62 of them: initially I had 20, then I also got another 65 making it a total of 85, then I got another 19 making it a total of 104, but then I lost 42 of them so eventually I am left with 62 of them now). My uncle also has 42 hyundai santa fe cars. My father also has 73 crocodiles. I also have 3 snails (it is a funny story how I have 3 of them: initially I had 50, then I also got another 15 making it a total of 65, then I got another 44 making it a total of 109, but then I lost 106 of them so eventually I am left with 3 of them now). My grandfather also has 60 bongos. I also have 13 bagpipes (they are great). I also have 54 gorillas (hope to have more in the future). I also have 22 castanets (here is why I have these many: initially I had 18 of them, then I lost 11 of them, but then I got another 50 of them, but then I lost 35 of them, so at the end I am left with 22 of them). My uncle also has 43 pipas. My father also has 73 kingsnakes. My cousin also has 98 mallards. My uncle also has 63 shrews. My grandmother also has 49 clavichords. My friend also has 88 crabs. My cousin also has 40 congas. My sister also has 25 hammered dulcimers. My friend also has 15 mazda cx-90 cars. My brother also has 94 honda prologuq cars. My father also has 59 sharks. I also have 55 macaws (it is a funny story how I have 55 of them: initially I had 62, then I also got another 20 making it a total of 82, then I got another 14 making it a total of 96, but then I lost 41 of them so eventually I am left with 55 of them now). My sister also has 76 trumpets. My mother also has 39 electric bass. I also have 23 hedgehogs (I like these a lot). My aunt also has 29 hawks. My grandfather also has 97 nissan ariya cars. My mother also has 2 subaru ascent cars. My aunt also has 34 nissan maxima cars. My uncle also has 54 badgers. I also have 7 honda element cars (it is a funny story how I have 7 of them: initially I had 83, then I also got another 21 making it a total of 104, then I got another 96 making it a total of 200, but then I lost 193 of them so eventually I am left with 7 of them now). My cousin also has 49 corgis. My cousin also has 7 harps. I also have 25 shrimps (it is a funny story how I have 25 of them: initially I had 83, then I also got another 24 making it a total of 107, then I got another 85 making it a total of 192, but then I lost 167 of them so eventually I am left with 25 of them now). My grandfather also has 97 organs. My cousin also has 43 mice. I also have 78 toyota c-hr cars (received them last week). My cousin also has 42 biwas. My aunt also has 23 baboons. My father also has 42 shamisens. My cousin also has 40 chimpanzees. I also have 23 honda pilot cars (they are great). My brother also has 77 honda accord cars. My grandmother also has 36 lutes. My brother also has 34 nissan pathfinder cars. My uncle also has 40 marmots. I also have 91 electric drums (it is a funny story how I have 91 of them: initially I had 85, then I also got another 57 making it a total of 142, then I got another 71 making it a total of 213, but then I lost 122 of them so eventually I am left with 91 of them now). My cousin also has 36 subaru impreza cars. I also have 48 clarinets (here is why I have these many: initially I had 29 of them, then I lost 17 of them, but then I got another 99 of them, but then I lost 63 of them, so at the end I am left with 48 of them). My friend also has 89 geese. My sister also has 40 turtles. I also have 7 n'gonis (thrilled to have these). My aunt also has 58 kia niro cars. My uncle also has 51 mridangams. My mother also has 66 hyundai elantra cars. My cousin also has 77 toyota 4runnertoyota sequoia cars. My mother also has 49 bansuris. I also have 54 tablas (very happy to have them). My sister also has 64 mazda cx-80 cars. My sister also has 6 maracas. I also have 30 honda cr-v cars (it is a funny story how I have 30 of them: initially I had 41, then I also got another 33 making it a total of 74, then I got another 88 making it a total of 162, but then I lost 132 of them so eventually I am left with 30 of them now). I also have 86 mules (I do not think I need this much). I also have 71 tamburas (here is why I have these many: initially I had 39 of them, then I lost 19 of them, but then I got another 62 of them, but then I lost 11 of them, so at the end I am left with 71 of them). My sister also has 38 aardvarks. My brother also has 88 pianos.  What is the absolute difference of the total number of cars and animals/insects that I have?",
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  {
    "dataset": "bbeh",
    "family": "02f6ba7e41a6581b3438d33ff7b366e4c3d828a6b90c98b6e15aa376251583b3",
    "id": "bbeh:object_counting:145",
    "request": "I have 93 huawei pura 70 mobiles (planning to have more in the future). My uncle has 45 huawei nova 12i mobiles. I also have 59 iphone 4 mobiles (it is a funny story how I have 59 of them: initially I had 36, then I also got another 100 making it a total of 136, then I got another 41 making it a total of 177, but then I lost 118 of them so eventually I am left with 59 of them now). My aunt has 52 mridangams. I also have 20 lutes (here is why I have these many: initially I had 59 of them, then I lost 57 of them, but then I got another 50 of them, but then I lost 32 of them, so at the end I am left with 20 of them). I also have 8 blueberrys (feeling good about this). My mother has 14 bansuris. I also have 25 clementinefigs (one day, I will have more of them). My mother also has 33 electric pianos. I also have 17 cellos (feeling great about this). I also have 17 pomegranates (I really like them). I also have 39 huawei pura 70 pro mobiles (feeling great about this). I also have 48 pinot noir grapes (happt to have them). My cousin has 17 mandolins. My uncle also has 34 merlot grapes. I also have 99 huawei nova 13 mobiles (I do not think I need this much). I also have 83 riesling grapes (here is why I have these many: initially I had 93 of them, then I lost 53 of them, but then I got another 81 of them, but then I lost 38 of them, so at the end I am left with 83 of them). My uncle also has 78 watermelons. My mother also has 12 sazzes. My grandfather has 61 ginger gold apples. My brother has 18 motorola mobiles. My aunt also has 95 samsung galaxy m55s mobiles. I also have 30 envy apples (it is a funny story how I have 30 of them: initially I had 72, then I also got another 70 making it a total of 142, then I got another 72 making it a total of 214, but then I lost 184 of them so eventually I am left with 30 of them now). My sister has 48 google (pixel) mobiles. My friend has 28 marimbas. My cousin also has 17 cherrys. My friend also has 50 durians. I also have 85 huawei nova 11 se mobiles (maybe I just need some of them). My mother also has 95 honeycrisp apples. My brother also has 63 castanets. My aunt also has 66 lg mobiles. My grandfather also has 49 samsung galaxy a15 mobiles. My grandmother has 38 congas. My friend also has 42 gala apples. My father has 73 theremins. I also have 36 fuji apples (maybe I just need some of them). My grandmother also has 2 autoharps. I also have 30 ouds (they were given to me as a gift). My grandfather also has 62 jonagold apples. I also have 84 realme mobiles (I do not think I need this much). I also have 48 samsung galaxy tab s10 mobiles (it is a funny story how I have 48 of them: initially I had 64, then I also got another 99 making it a total of 163, then I got another 59 making it a total of 222, but then I lost 174 of them so eventually I am left with 48 of them now). I also have 79 mulberrys (I am in love with them). My cousin also has 81 kazoos. My mother also has 91 samsung galaxy z fold5 mobiles. My grandfather also has 25 oppo mobiles. I also have 42 koras (they were given to me as a gift). My friend also has 88 iphone 13 mobiles. I also have 21 kotoes (it is a funny story how I have 21 of them: initially I had 95, then I also got another 86 making it a total of 181, then I got another 17 making it a total of 198, but then I lost 177 of them so eventually I am left with 21 of them now). My grandmother also has 98 iphone 8 mobiles. I also have 24 breadfruits (thrilled to have these). My mother also has 17 iphone 12 mobiles. My cousin also has 71 kalimbas. I also have 99 xiaomi mobiles (here is why I have these many: initially I had 95 of them, then I lost 12 of them, but then I got another 52 of them, but then I lost 36 of them, so at the end I am left with 99 of them). I also have 85 bass guitars (I do not think I need this much). My mother also has 24 iphone 6 mobiles. I also have 31 pipas (feeling good about this). My aunt also has 26 sitars. My cousin also has 67 iphone 15 mobiles. My sister also has 19 papayas. I also have 27 electric guitars (one day, I will have more of them). My grandfather also has 60 sruti boxes. I also have 49 strawberrys (I am in love with them). I also have 89 htc mobiles (they were given to me as a gift). I also have 76 bongos (received them last week). My uncle also has 34 vivo mobiles. I also have 46 meizu mobiles (they are great). My father also has 86 ukuleles. I also have 17 electric drums (I am in love with them). My father also has 39 zte mobiles. My uncle also has 87 huawei pura 70 pro+ mobiles. My mother also has 6 huawei pura 70 ultra mobiles. My grandfather also has 97 xylophones. My mother also has 17 starfruits. My grandfather also has 28 shehnais. My father also has 84 glockenspiels. My aunt also has 64 synthesizer keyboards. My aunt also has 47 huawei nova 12s mobiles. My friend also has 23 tars. My grandmother also has 66 erhus. My friend also has 86 electric cellos. I also have 23 recorders (happt to have them). I also have 23 tecno mobiles (planning to have more in the future). I also have 11 sony mobiles (it is a funny story how I have 11 of them: initially I had 79, then I also got another 22 making it a total of 101, then I got another 56 making it a total of 157, but then I lost 146 of them so eventually I am left with 11 of them now). My friend also has 50 infinix mobiles. I also have 97 drums (it is a funny story how I have 97 of them: initially I had 83, then I also got another 15 making it a total of 98, then I got another 11 making it a total of 109, but then I lost 12 of them so eventually I am left with 97 of them now).  What is the absolute difference of the total number of fruits and musical instruments that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "059438ce237acfdf3337efc6748d738c106906c04815bc2a0cc187b35b962fac",
    "id": "bbeh:object_counting:163",
    "request": "My father has 81 djembes. My uncle has 53 lutes. I have 56 french horns (very happy to have them). I also have 43 syrah grapes (here is why I have these many: initially I had 60 of them, then I lost 41 of them, but then I got another 92 of them, but then I lost 68 of them, so at the end I am left with 43 of them). My grandmother has 70 infinix mobiles. I also have 56 koras (planning to have more in the future). My mother has 31 iphone 8 mobiles. I also have 52 samsung galaxy a16 mobiles (it is a funny story how I have 52 of them: initially I had 97, then I also got another 55 making it a total of 152, then I got another 35 making it a total of 187, but then I lost 135 of them so eventually I am left with 52 of them now). My friend has 17 mangoes. My grandmother also has 55 xiaomi mobiles. My uncle also has 82 electric cellos. I also have 62 huawei pura 70 mobiles (received them last month). I also have 71 rababs (it is a funny story how I have 71 of them: initially I had 87, then I also got another 29 making it a total of 116, then I got another 36 making it a total of 152, but then I lost 81 of them so eventually I am left with 71 of them now). I also have 49 tambourines (here is why I have these many: initially I had 51 of them, then I lost 34 of them, but then I got another 58 of them, but then I lost 26 of them, so at the end I am left with 49 of them). My friend also has 37 bouzoukis. My friend also has 14 drums. I also have 22 plums (I really like them). My grandmother also has 94 vibraphone, steelpans. My cousin has 53 tecno mobiles. I also have 1 saz (very happy to have them). My mother also has 47 oneplus mobiles. My friend also has 65 tamburas. My grandfather has 45 setars. I also have 68 plantains (hope to have more in the future). I also have 56 huawei mate x6 mobiles (feeling great about this). My sister has 59 ginger gold apples. My aunt has 79 didgeridoos. My grandmother also has 62 iphone 13 mobiles. My sister also has 80 iphone 11 mobiles. My aunt also has 89 cherrys. I also have 96 merlot grapes (received them yesterday). My grandfather also has 81 banjoes. I also have 16 huawei nova 12i mobiles (one day, I will have more of them). My brother has 65 rebecs. My father also has 27 cantaloupes. My uncle also has 70 recorders. My friend also has 79 synthesizer keyboards. My uncle also has 66 jazz apples. My cousin also has 79 guzhengs. My uncle also has 33 samsung galaxy a15 mobiles. My grandfather also has 75 raspberrys. My brother also has 37 gala apples. My uncle also has 20 dulcimers. I also have 86 harps (very happy to have them). My brother also has 47 iphone 12 mobiles. My cousin also has 96 iphone 14 mobiles. My father also has 52 dates. My grandfather also has 7 biwas. I also have 12 grapefruits (maybe I just need some of them). I also have 26 electric pianos (here is why I have these many: initially I had 91 of them, then I lost 60 of them, but then I got another 58 of them, but then I lost 63 of them, so at the end I am left with 26 of them). My uncle also has 40 nokia mobiles. My grandfather also has 94 starfruits. I also have 82 lg mobiles (it is a funny story how I have 82 of them: initially I had 84, then I also got another 48 making it a total of 132, then I got another 94 making it a total of 226, but then I lost 144 of them so eventually I am left with 82 of them now). My grandmother also has 75 pears. I also have 8 electric drums (here is why I have these many: initially I had 35 of them, then I lost 13 of them, but then I got another 26 of them, but then I lost 40 of them, so at the end I am left with 8 of them). I also have 88 shamisens (received them last week). My mother also has 78 motorola mobiles. I also have 23 autoharps (here is why I have these many: initially I had 68 of them, then I lost 44 of them, but then I got another 35 of them, but then I lost 36 of them, so at the end I am left with 23 of them). My father also has 23 soursops. My grandmother also has 69 electric bass. I also have 37 trumpets (maybe I just need some of them). I also have 11 pomegranates (here is why I have these many: initially I had 37 of them, then I lost 29 of them, but then I got another 49 of them, but then I lost 46 of them, so at the end I am left with 11 of them). I also have 60 nebbiolo grapes (it is a funny story how I have 60 of them: initially I had 28, then I also got another 54 making it a total of 82, then I got another 20 making it a total of 102, but then I lost 42 of them so eventually I am left with 60 of them now). My aunt also has 60 iphone 7 mobiles. I also have 83 samsung galaxy a35 mobiles (received them yesterday). My grandfather also has 80 pennywhistles. I also have 32 kazoos (it is a funny story how I have 32 of them: initially I had 66, then I also got another 96 making it a total of 162, then I got another 37 making it a total of 199, but then I lost 167 of them so eventually I am left with 32 of them now). My cousin also has 55 oppo mobiles. My mother also has 75 iphone 5 mobiles. I also have 81 guitars (received them yesterday). My father also has 29 theremins. I also have 6 zte mobiles (I do not think I need this much). My sister also has 75 marimbas. My sister also has 56 cellos. My father also has 85 google (pixel) mobiles. My sister also has 32 honeydews. My brother also has 99 hammered dulcimers. My aunt also has 55 jonagold apples. My mother also has 21 grenache grapes. My friend also has 24 clementinefigs. I also have 51 iphone 15 mobiles (it is a funny story how I have 51 of them: initially I had 55, then I also got another 15 making it a total of 70, then I got another 88 making it a total of 158, but then I lost 107 of them so eventually I am left with 51 of them now). I also have 22 huawei pura 70 pro+ mobiles (here is why I have these many: initially I had 75 of them, then I lost 55 of them, but then I got another 59 of them, but then I lost 57 of them, so at the end I am left with 22 of them). My father also has 74 iphone 4 mobiles. My father also has 78 quinces. I also have 91 mulberrys (it is a funny story how I have 91 of them: initially I had 20, then I also got another 77 making it a total of 97, then I got another 15 making it a total of 112, but then I lost 21 of them so eventually I am left with 91 of them now). My cousin also has 73 iphone 6 mobiles. My brother also has 14 zithers. My aunt also has 46 cotton candy grapes. I also have 98 durians (I like these a lot). I also have 74 ambrosia apples (feeling good about this). I also have 91 bagpipes (here is why I have these many: initially I had 100 of them, then I lost 51 of them, but then I got another 90 of them, but then I lost 48 of them, so at the end I am left with 91 of them). I also have 49 ouds (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 57 of them, but then I lost 10 of them, so at the end I am left with 49 of them). I also have 31 samsung galaxy z fold6 mobiles (here is why I have these many: initially I had 84 of them, then I lost 74 of them, but then I got another 94 of them, but then I lost 73 of them, so at the end I am left with 31 of them). My mother also has 91 huawei nova 13 mobiles. My grandfather also has 34 realme mobiles. My friend also has 22 huawei nova 12 pro mobiles. My brother also has 96 double bass. My mother also has 65 clarinets.  What is the absolute difference of the total number of musical instruments and mobiles that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "b4663f9c68bd981301fdee21391009ce6f93b68a53ac8f021a5f80ed51adc72c",
    "id": "bbeh:object_counting:166",
    "request": "I have 92 bansuris (here is why I have these many: initially I had 84 of them, then I lost 51 of them, but then I got another 60 of them, but then I lost 1 of them, so at the end I am left with 92 of them). My brother has 76 huawei mate x6 mobiles. My grandfather has 8 riesling grapes. My aunt has 63 oppo mobiles. I also have 19 lychees (feeling great about this). My aunt also has 7 cotton candy grapes. My sister has 61 grapefruits. My friend has 13 iphone 7 mobiles. I also have 72 kazoos (it is a funny story how I have 72 of them: initially I had 92, then I also got another 36 making it a total of 128, then I got another 62 making it a total of 190, but then I lost 118 of them so eventually I am left with 72 of them now). I also have 36 samsung galaxy a35 mobiles (it is a funny story how I have 36 of them: initially I had 42, then I also got another 99 making it a total of 141, then I got another 41 making it a total of 182, but then I lost 146 of them so eventually I am left with 36 of them now). My grandfather also has 71 huawei nova 12s mobiles. I also have 8 realme mobiles (it is a funny story how I have 8 of them: initially I had 31, then I also got another 24 making it a total of 55, then I got another 59 making it a total of 114, but then I lost 106 of them so eventually I am left with 8 of them now). My aunt also has 41 pink lady apples. My cousin has 20 saxophones. My uncle has 39 guzhengs. I also have 31 ouds (it is a funny story how I have 31 of them: initially I had 29, then I also got another 50 making it a total of 79, then I got another 48 making it a total of 127, but then I lost 96 of them so eventually I am left with 31 of them now). My sister also has 18 dulcimers. I also have 19 iphone 8 mobiles (here is why I have these many: initially I had 20 of them, then I lost 12 of them, but then I got another 79 of them, but then I lost 68 of them, so at the end I am left with 19 of them). I also have 75 iphone x mobiles (here is why I have these many: initially I had 50 of them, then I lost 39 of them, but then I got another 76 of them, but then I lost 12 of them, so at the end I am left with 75 of them). My cousin also has 81 nokia mobiles. I also have 99 strawberrys (here is why I have these many: initially I had 23 of them, then I lost 13 of them, but then I got another 90 of them, but then I lost 1 of them, so at the end I am left with 99 of them). My aunt also has 15 oneplus mobiles. My uncle also has 84 hammered dulcimers. My father has 56 kotoes. I also have 23 electric violins (here is why I have these many: initially I had 90 of them, then I lost 57 of them, but then I got another 71 of them, but then I lost 81 of them, so at the end I am left with 23 of them). I also have 75 vibraphone, steelpans (here is why I have these many: initially I had 26 of them, then I lost 19 of them, but then I got another 88 of them, but then I lost 20 of them, so at the end I am left with 75 of them). I also have 87 autoharps (received them last month). My cousin also has 22 htc mobiles. I also have 53 kiwis (it is a funny story how I have 53 of them: initially I had 50, then I also got another 70 making it a total of 120, then I got another 41 making it a total of 161, but then I lost 108 of them so eventually I am left with 53 of them now). My aunt also has 9 iphone 16 mobiles. I also have 26 huawei pura 70 pro mobiles (it is a funny story how I have 26 of them: initially I had 18, then I also got another 43 making it a total of 61, then I got another 80 making it a total of 141, but then I lost 115 of them so eventually I am left with 26 of them now). My uncle also has 65 syrah grapes. I also have 26 plantains (planning to have more in the future). My friend also has 52 peaches. My grandfather also has 95 tamburas. My cousin also has 12 vivo mobiles. I also have 88 samsung galaxy tab s10 mobiles (here is why I have these many: initially I had 43 of them, then I lost 42 of them, but then I got another 93 of them, but then I lost 6 of them, so at the end I am left with 88 of them). I also have 16 drums (here is why I have these many: initially I had 83 of them, then I lost 44 of them, but then I got another 17 of them, but then I lost 40 of them, so at the end I am left with 16 of them). My friend also has 14 autumn royal grapes. My sister also has 65 electric pianos. My cousin also has 77 huawei mate 70 mobiles. I also have 16 infinix mobiles (here is why I have these many: initially I had 13 of them, then I lost 11 of them, but then I got another 89 of them, but then I lost 75 of them, so at the end I am left with 16 of them). I also have 25 samsung galaxy z fold5 mobiles (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 64 of them, but then I lost 40 of them, so at the end I am left with 25 of them). My friend also has 5 erhus. My aunt also has 97 blackberry mobiles. I also have 90 huawei nova 13 mobiles (it is a funny story how I have 90 of them: initially I had 44, then I also got another 29 making it a total of 73, then I got another 49 making it a total of 122, but then I lost 32 of them so eventually I am left with 90 of them now). My aunt also has 90 congas. My grandmother has 86 lg mobiles. My brother also has 81 rebecs. My grandmother also has 26 biwas. My father also has 43 timpanis. I also have 73 samsung galaxy f05 mobiles (here is why I have these many: initially I had 85 of them, then I lost 21 of them, but then I got another 63 of them, but then I lost 54 of them, so at the end I am left with 73 of them). I also have 90 jonagold apples (here is why I have these many: initially I had 72 of them, then I lost 33 of them, but then I got another 74 of them, but then I lost 23 of them, so at the end I am left with 90 of them). My uncle also has 96 iphone 11 mobiles. My aunt also has 45 marimbas. My grandfather also has 19 google (pixel) mobiles. I also have 91 dates (it is a funny story how I have 91 of them: initially I had 57, then I also got another 56 making it a total of 113, then I got another 11 making it a total of 124, but then I lost 33 of them so eventually I am left with 91 of them now). My uncle also has 39 plums. I also have 92 zte mobiles (received them yesterday). I also have 2 bass guitars (feeling great about this). My grandfather also has 37 nectarines. My cousin also has 4 samsung galaxy a15 mobiles. My uncle also has 70 kalimbas. My cousin also has 25 huawei pura 70 pro+ mobiles. I also have 54 grenache grapes (it is a funny story how I have 54 of them: initially I had 95, then I also got another 27 making it a total of 122, then I got another 82 making it a total of 204, but then I lost 150 of them so eventually I am left with 54 of them now). My friend also has 13 banjoes. I also have 86 cherrys (here is why I have these many: initially I had 60 of them, then I lost 14 of them, but then I got another 61 of them, but then I lost 21 of them, so at the end I am left with 86 of them). I also have 37 fuji apples (here is why I have these many: initially I had 82 of them, then I lost 33 of them, but then I got another 75 of them, but then I lost 87 of them, so at the end I am left with 37 of them). My father also has 34 persimmons. I also have 36 zithers (I really like them). My cousin also has 33 iphone 6 mobiles. My grandmother also has 99 guavas. My brother also has 77 huawei pura 70 mobiles. My mother has 47 soursops. My sister also has 87 bongos. My brother also has 82 organs. My grandmother also has 16 breadfruits. My grandfather also has 81 mulberrys. My uncle also has 99 blueberrys. My father also has 52 samsung galaxy a16 mobiles. My friend also has 23 flutes. My grandmother also has 90 ginger gold apples. My brother also has 78 honeydews. I also have 86 harpsichords (here is why I have these many: initially I had 78 of them, then I lost 74 of them, but then I got another 88 of them, but then I lost 6 of them, so at the end I am left with 86 of them). My mother also has 86 djembes. My aunt also has 28 watermelons. I also have 62 honeycrisp apples (received them last week). I also have 83 trombones (it is a funny story how I have 83 of them: initially I had 74, then I also got another 55 making it a total of 129, then I got another 27 making it a total of 156, but then I lost 73 of them so eventually I am left with 83 of them now). My cousin also has 31 electric drums. My friend also has 52 starfruits. My aunt also has 53 lemons. My uncle also has 24 samsung galaxy z fold6 mobiles. My aunt also has 92 iphone 13 mobiles. My uncle also has 17 iphone 5 mobiles. My mother also has 74 cantaloupes. My uncle also has 5 sony mobiles. My grandmother also has 58 apricots. I also have 39 lutes (feeling good about this). My uncle also has 30 harps. My grandfather also has 69 jackfruits.  What is the sum of the total number of musical instruments and fruits that I have?",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "537953744a2a5d772584caab782c01642794d6d54e56e96476cd803ed1e47d40",
    "id": "bbeh:object_counting:172",
    "request": "My aunt has 52 cranes. I have 36 meizu mobiles (one day, I will have more of them). My cousin has 2 gorillas. My aunt also has 45 harpsichords. I also have 73 crabs (here is why I have these many: initially I had 90 of them, then I lost 27 of them, but then I got another 83 of them, but then I lost 73 of them, so at the end I am left with 73 of them). I also have 5 donkeys (happt to have them). My uncle has 42 bass guitars. My father has 77 mules. I also have 56 wasps (feeling great about this). My cousin also has 62 sruti boxes. My grandmother has 66 reindeer. My sister has 79 iphone 6 mobiles. I also have 30 goats (it is a funny story how I have 30 of them: initially I had 97, then I also got another 94 making it a total of 191, then I got another 95 making it a total of 286, but then I lost 256 of them so eventually I am left with 30 of them now). My mother has 88 djembes. My sister also has 33 bansuris. My friend has 24 xylophones. I also have 18 cellos (I do not think I need this much). I also have 2 huawei nova 12i mobiles (it is a funny story how I have 2 of them: initially I had 61, then I also got another 75 making it a total of 136, then I got another 96 making it a total of 232, but then I lost 230 of them so eventually I am left with 2 of them now). I also have 80 frogs (it is a funny story how I have 80 of them: initially I had 60, then I also got another 99 making it a total of 159, then I got another 77 making it a total of 236, but then I lost 156 of them so eventually I am left with 80 of them now). I also have 60 n'gonis (planning to have more in the future). I also have 63 violins (feeling great about this). My friend also has 26 htc mobiles. My cousin also has 76 oneplus mobiles. My uncle also has 41 iguanas. I also have 17 samsung galaxy a15 mobiles (it is a funny story how I have 17 of them: initially I had 85, then I also got another 12 making it a total of 97, then I got another 59 making it a total of 156, but then I lost 139 of them so eventually I am left with 17 of them now). I also have 54 iphone 14 mobiles (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 80 of them, but then I lost 28 of them, so at the end I am left with 54 of them). I also have 41 huawei pura 70 pro mobiles (received them last week). I also have 58 garter snakes (I like these a lot). I also have 5 tars (thrilled to have these). My mother also has 61 castanets. My grandmother also has 77 huawei nova 13 mobiles. I also have 73 accordions (I do not think I need this much). My friend also has 93 ducks. My father also has 25 honor mobiles. My mother also has 52 nadaswarams. My grandmother also has 97 nokia mobiles. I also have 29 hedgehogs (here is why I have these many: initially I had 17 of them, then I lost 15 of them, but then I got another 37 of them, but then I lost 10 of them, so at the end I am left with 29 of them). I also have 57 monkeys (happt to have them). I also have 5 rababs (it is a funny story how I have 5 of them: initially I had 72, then I also got another 39 making it a total of 111, then I got another 23 making it a total of 134, but then I lost 129 of them so eventually I am left with 5 of them now). My grandfather has 86 alpacas. My grandfather also has 42 trombones. My uncle also has 4 pigs. My grandmother also has 69 huawei nova 12 pro mobiles. I also have 48 samsung galaxy s24 mobiles (received them last month). My grandmother also has 6 autoharps. I also have 44 pennywhistles (it is a funny story how I have 44 of them: initially I had 68, then I also got another 81 making it a total of 149, then I got another 32 making it a total of 181, but then I lost 137 of them so eventually I am left with 44 of them now). My friend also has 42 iphone 5 mobiles. My cousin also has 78 samsung galaxy a35 mobiles. My mother also has 84 marimbas. My aunt also has 20 komodo dragons. My cousin also has 45 iphone 13 mobiles. My grandmother also has 88 iphone 12 mobiles. I also have 7 huawei pura 70 mobiles (I am in love with them). I also have 75 otters (thrilled to have these). My sister also has 39 penguins. My mother also has 68 pipas. I also have 66 double bass (they were given to me as a gift). My cousin also has 10 bisons. My brother has 89 sazzes. My father also has 32 canarys. My grandfather also has 4 samsung galaxy f05 mobiles. My friend also has 7 huawei nova 12s mobiles. My uncle also has 96 sharks. I also have 53 samsung galaxy tab s10 mobiles (they were given to me as a gift). My friend also has 33 guzhengs. My mother also has 60 bagpipes. My grandmother also has 94 synthesizer keyboards. I also have 58 cats (happt to have them). I also have 68 sony mobiles (it is a funny story how I have 68 of them: initially I had 57, then I also got another 96 making it a total of 153, then I got another 51 making it a total of 204, but then I lost 136 of them so eventually I am left with 68 of them now). I also have 88 huawei mate x6 mobiles (here is why I have these many: initially I had 50 of them, then I lost 48 of them, but then I got another 95 of them, but then I lost 9 of them, so at the end I am left with 88 of them). My father also has 95 snails. My grandfather also has 9 electric violins. My sister also has 18 samsung galaxy z fold6 mobiles. My grandfather also has 75 oppo mobiles. My father also has 25 leopards. My aunt also has 11 sitars. My aunt also has 43 oboes. My sister also has 23 iphone 16 mobiles. My friend also has 6 samsung galaxy a55 mobiles. I also have 10 infinix mobiles (they are great). I also have 51 huawei nova 11 se mobiles (here is why I have these many: initially I had 46 of them, then I lost 28 of them, but then I got another 84 of them, but then I lost 51 of them, so at the end I am left with 51 of them). My mother also has 29 xiaomi mobiles. I also have 27 koalas (it is a funny story how I have 27 of them: initially I had 55, then I also got another 71 making it a total of 126, then I got another 53 making it a total of 179, but then I lost 152 of them so eventually I am left with 27 of them now). My aunt also has 17 clavichords. I also have 75 hawks (happt to have them). My aunt also has 40 jellyfish. I also have 38 realme mobiles (here is why I have these many: initially I had 18 of them, then I lost 17 of them, but then I got another 46 of them, but then I lost 9 of them, so at the end I am left with 38 of them). My mother also has 96 tablas. My brother also has 7 samsung galaxy a16 mobiles. I also have 49 lizards (feeling great about this). My cousin also has 77 groundhogs. I also have 65 turtles (received them last week). My grandfather also has 23 chimpanzees. My aunt also has 46 clarinets. My brother also has 35 mbiras. I also have 74 shehnais (here is why I have these many: initially I had 100 of them, then I lost 99 of them, but then I got another 93 of them, but then I lost 20 of them, so at the end I am left with 74 of them). I also have 88 geese (here is why I have these many: initially I had 42 of them, then I lost 32 of them, but then I got another 97 of them, but then I lost 19 of them, so at the end I am left with 88 of them). My aunt also has 91 balafons.  What is the absolute difference of the total number of mobiles and animals/insects that I have?",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "8cdcd9eb4b5fc75f09bed56c94c421eb7e3e3c25f3b3fc1adaf86631dbe731b8",
    "id": "bbeh:object_counting:177",
    "request": "My brother has 93 organs. My sister has 83 samsung galaxy z fold5 mobiles. My uncle has 79 huawei pura 70 ultra mobiles. My father has 60 ouds. My mother has 56 saxophones. My mother also has 55 vibraphone, steelpans. My mother also has 78 iphone 8 mobiles. I have 87 huawei nova 12 pro mobiles (happt to have them). My mother also has 28 huawei nova 12i mobiles. My cousin has 82 samsung galaxy tab s10 mobiles. My grandmother has 24 gala apples. My father also has 8 xiaomi mobiles. My cousin also has 94 harmonicas. My uncle also has 38 apricots. I also have 32 jonagold apples (here is why I have these many: initially I had 83 of them, then I lost 30 of them, but then I got another 40 of them, but then I lost 61 of them, so at the end I am left with 32 of them). My grandfather has 6 durians. My aunt has 51 ginger gold apples. My grandfather also has 94 sony mobiles. My father also has 25 quinces. My cousin also has 39 oppo mobiles. My friend has 69 honeycrisp apples. My sister also has 27 plantains. I also have 24 cantaloupes (feeling good about this). My aunt also has 94 motorola mobiles. My grandfather also has 23 mandolins. My cousin also has 84 samsung galaxy c55 mobiles. I also have 65 htc mobiles (one day, I will have more of them). I also have 49 mridangams (they are great). My friend also has 10 bassoons. My brother also has 49 dragonfruits. My aunt also has 62 bananas. I also have 32 blackberry mobiles (here is why I have these many: initially I had 20 of them, then I lost 15 of them, but then I got another 42 of them, but then I lost 15 of them, so at the end I am left with 32 of them). My grandfather also has 9 grapefruits. My mother also has 10 realme mobiles. I also have 40 huawei pura 70 pro mobiles (one day, I will have more of them). My grandmother also has 1 samsung galaxy s24 mobiles. My grandmother also has 62 hammered dulcimers. My mother also has 66 plums. My grandmother also has 51 pinot noir grapes. My mother also has 10 rebecs. My aunt also has 49 marimbas. I also have 64 zithers (it is a funny story how I have 64 of them: initially I had 81, then I also got another 100 making it a total of 181, then I got another 22 making it a total of 203, but then I lost 139 of them so eventually I am left with 64 of them now). I also have 41 mulberrys (one day, I will have more of them). My uncle also has 88 iphone 5 mobiles. I also have 23 infinix mobiles (it is a funny story how I have 23 of them: initially I had 21, then I also got another 23 making it a total of 44, then I got another 65 making it a total of 109, but then I lost 86 of them so eventually I am left with 23 of them now). My grandmother also has 75 synthesizer keyboards. I also have 64 lutes (I like these a lot). My sister also has 29 iphone 13 mobiles. My father also has 98 balafons. I also have 10 samsung galaxy m55s mobiles (it is a funny story how I have 10 of them: initially I had 69, then I also got another 11 making it a total of 80, then I got another 42 making it a total of 122, but then I lost 112 of them so eventually I am left with 10 of them now). My grandfather also has 72 strawberrys. My sister also has 61 timpanis. My sister also has 22 samsung galaxy f05 mobiles. I also have 48 harpsichords (feeling good about this). I also have 85 samsung galaxy a15 mobiles (here is why I have these many: initially I had 97 of them, then I lost 69 of them, but then I got another 69 of them, but then I lost 12 of them, so at the end I am left with 85 of them). I also have 45 syrah grapes (they were given to me as a gift). I also have 88 kiwis (here is why I have these many: initially I had 74 of them, then I lost 21 of them, but then I got another 62 of them, but then I lost 27 of them, so at the end I am left with 88 of them). My brother also has 80 theremins. My mother also has 12 tamburas. I also have 98 lemons (here is why I have these many: initially I had 34 of them, then I lost 30 of them, but then I got another 96 of them, but then I lost 2 of them, so at the end I am left with 98 of them). I also have 84 didgeridoos (here is why I have these many: initially I had 55 of them, then I lost 40 of them, but then I got another 72 of them, but then I lost 3 of them, so at the end I am left with 84 of them). My brother also has 43 samsung galaxy a55 mobiles. My cousin also has 30 huawei mate x6 mobiles. My mother also has 92 huawei mate 70 mobiles. My uncle also has 39 meizu mobiles. I also have 36 chardonnay grapes (here is why I have these many: initially I had 60 of them, then I lost 17 of them, but then I got another 44 of them, but then I lost 51 of them, so at the end I am left with 36 of them). My mother also has 87 tecno mobiles. I also have 64 muscat grapes (here is why I have these many: initially I had 33 of them, then I lost 11 of them, but then I got another 91 of them, but then I lost 49 of them, so at the end I am left with 64 of them). I also have 5 tablas (received them last month). My brother also has 99 huawei nova 13 mobiles. My father also has 6 iphone 15 mobiles. I also have 34 erhus (I really like them). My friend also has 11 samsung galaxy a35 mobiles. My friend also has 59 clavichords. My cousin also has 1 kazoo. My grandfather also has 33 sazzes. I also have 66 sitars (it is a funny story how I have 66 of them: initially I had 61, then I also got another 75 making it a total of 136, then I got another 92 making it a total of 228, but then I lost 162 of them so eventually I am left with 66 of them now). I also have 59 samsung galaxy z fold6 mobiles (I do not think I need this much). My aunt also has 75 electric cellos. I also have 35 elderberryoranges (thrilled to have these). My cousin also has 23 congas. My grandmother also has 15 electric bass. I also have 97 iphone 16 mobiles (it is a funny story how I have 97 of them: initially I had 57, then I also got another 16 making it a total of 73, then I got another 91 making it a total of 164, but then I lost 67 of them so eventually I am left with 97 of them now). I also have 23 raspberrys (here is why I have these many: initially I had 16 of them, then I lost 11 of them, but then I got another 97 of them, but then I lost 79 of them, so at the end I am left with 23 of them). I also have 15 lychees (very happy to have them). My uncle also has 98 tanpuras. My grandfather also has 89 iphone 12 mobiles. I also have 2 mangoes (it is a funny story how I have 2 of them: initially I had 50, then I also got another 11 making it a total of 61, then I got another 88 making it a total of 149, but then I lost 147 of them so eventually I am left with 2 of them now). My uncle also has 98 persimmons. My brother also has 60 iphone 7 mobiles. My aunt also has 18 huawei nova 12s mobiles. I also have 46 shamisens (it is a funny story how I have 46 of them: initially I had 74, then I also got another 19 making it a total of 93, then I got another 73 making it a total of 166, but then I lost 120 of them so eventually I am left with 46 of them now). I also have 53 autumn royal grapes (here is why I have these many: initially I had 70 of them, then I lost 42 of them, but then I got another 36 of them, but then I lost 11 of them, so at the end I am left with 53 of them). My grandmother also has 91 pennywhistles. My grandmother also has 13 bouzoukis. My brother also has 18 cellos. My aunt also has 33 papayas. My brother also has 25 iphone 4 mobiles. I also have 54 guavas (maybe I just need some of them). I also have 35 peaches (very happy to have them). My aunt also has 61 iphone 11 mobiles. My father also has 88 dulcimers. My grandfather also has 21 accordions. My sister also has 28 pears. My father also has 8 grenache grapes. I also have 8 cotton candy grapes (it is a funny story how I have 8 of them: initially I had 84, then I also got another 75 making it a total of 159, then I got another 59 making it a total of 218, but then I lost 210 of them so eventually I am left with 8 of them now). I also have 56 maracas (planning to have more in the future). My friend also has 65 nokia mobiles. I also have 37 shehnais (I do not think I need this much). My father also has 45 ocarinas. I also have 41 dates (received them yesterday).  What is the absolute difference of the total number of mobiles and fruits that I have?",
    "response_contract": {
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  {
    "dataset": "bbeh",
    "family": "dd36bea5912bc41fd7c55f73e6b1d3f677acd3d5113eb78f0c22e115327e738e",
    "id": "bbeh:object_counting:178",
    "request": "My grandmother has 22 zte mobiles. My father has 74 toyota rav4 cars. I have 98 cows (here is why I have these many: initially I had 77 of them, then I lost 53 of them, but then I got another 86 of them, but then I lost 12 of them, so at the end I am left with 98 of them). My friend has 46 infinix mobiles. My cousin has 94 nissan pathfinder cars. I also have 98 nokia mobiles (I really like them). I also have 35 cockroaches (here is why I have these many: initially I had 74 of them, then I lost 16 of them, but then I got another 30 of them, but then I lost 53 of them, so at the end I am left with 35 of them). I also have 13 volkswagen golf cars (it is a funny story how I have 13 of them: initially I had 58, then I also got another 50 making it a total of 108, then I got another 25 making it a total of 133, but then I lost 120 of them so eventually I am left with 13 of them now). My brother has 49 mazda cx-30 cars. I also have 91 iphone 11 mobiles (one day, I will have more of them). My father also has 30 lg mobiles. I also have 43 buick enclave cars (it is a funny story how I have 43 of them: initially I had 57, then I also got another 12 making it a total of 69, then I got another 20 making it a total of 89, but then I lost 46 of them so eventually I am left with 43 of them now). I also have 46 toyota avalon cars (thrilled to have these). My sister has 77 toyota tundra cars. My friend also has 33 hyundai santa fe cars. I also have 43 corgis (received them last week). My aunt has 47 blackberry mobiles. I also have 68 storks (here is why I have these many: initially I had 59 of them, then I lost 35 of them, but then I got another 76 of them, but then I lost 32 of them, so at the end I am left with 68 of them). I also have 13 samsung galaxy m55s mobiles (it is a funny story how I have 13 of them: initially I had 25, then I also got another 86 making it a total of 111, then I got another 77 making it a total of 188, but then I lost 175 of them so eventually I am left with 13 of them now). My sister also has 65 huawei mate x6 mobiles. My sister also has 98 mazda cx-90 cars. My brother also has 51 honor mobiles. My mother has 47 viper snakes. My friend also has 48 samsung galaxy z fold5 mobiles. I also have 7 samsung galaxy a35 mobiles (here is why I have these many: initially I had 89 of them, then I lost 48 of them, but then I got another 31 of them, but then I lost 65 of them, so at the end I am left with 7 of them). My aunt also has 75 honda insight cars. My grandmother also has 57 toyota tacoma cars. I also have 1 huawei pura 70 ultra mobiles (very happy to have them). My cousin also has 94 mazda cx-80 cars. My grandfather has 95 toyota 4runnertoyota sequoia cars. I also have 2 jeep gladiator cars (here is why I have these many: initially I had 77 of them, then I lost 34 of them, but then I got another 97 of them, but then I lost 138 of them, so at the end I am left with 2 of them). I also have 64 huawei nova 12s mobiles (it is a funny story how I have 64 of them: initially I had 99, then I also got another 66 making it a total of 165, then I got another 67 making it a total of 232, but then I lost 168 of them so eventually I am left with 64 of them now). My sister also has 25 sharks. I also have 9 nissan kicks cars (I really like them). My brother also has 9 geese. My brother also has 33 huawei mate 70 mobiles. My grandmother also has 50 iphone 16 mobiles. My aunt also has 6 nissan frintier cars. I also have 17 orangutans (I like these a lot). I also have 18 ford edge cars (it is a funny story how I have 18 of them: initially I had 50, then I also got another 26 making it a total of 76, then I got another 30 making it a total of 106, but then I lost 88 of them so eventually I am left with 18 of them now). My sister also has 48 huawei nova 12 pro mobiles. My aunt also has 6 rhinoceros. I also have 75 samsung galaxy s24 mobiles (I like these a lot). My aunt also has 76 huawei nova 11 se mobiles. I also have 60 komodo dragons (it is a funny story how I have 60 of them: initially I had 22, then I also got another 56 making it a total of 78, then I got another 58 making it a total of 136, but then I lost 76 of them so eventually I am left with 60 of them now). My grandfather also has 2 iphone 13 mobiles. I also have 16 sony mobiles (happt to have them). My father also has 45 honda cr-z cars. I also have 29 horses (I do not think I need this much). I also have 24 marmots (received them yesterday). I also have 79 chimpanzees (they were given to me as a gift). I also have 50 samsung galaxy a15 mobiles (feeling good about this). My father also has 46 hyundai elantra cars. My brother also has 18 toyota c-hr cars. My uncle has 61 samsung galaxy f05 mobiles. I also have 71 opossums (received them last week). I also have 43 king cobra snakes (I really like them). My sister also has 68 shrews. I also have 28 roosters (received them yesterday). My grandfather also has 41 rabbits. My brother also has 6 mazda6 cars. I also have 23 foxes (they were given to me as a gift). I also have 8 quails (it is a funny story how I have 8 of them: initially I had 87, then I also got another 29 making it a total of 116, then I got another 59 making it a total of 175, but then I lost 167 of them so eventually I am left with 8 of them now). I also have 42 hippopotamus (here is why I have these many: initially I had 88 of them, then I lost 25 of them, but then I got another 25 of them, but then I lost 46 of them, so at the end I am left with 42 of them). I also have 15 black rat snakes (I like these a lot). My cousin also has 16 dolphins. My cousin also has 79 peacocks. I also have 24 nissan altima cars (here is why I have these many: initially I had 73 of them, then I lost 70 of them, but then I got another 87 of them, but then I lost 66 of them, so at the end I am left with 24 of them). My brother also has 15 leopards. My mother also has 14 iphone 5 mobiles. I also have 10 iphone x mobiles (here is why I have these many: initially I had 40 of them, then I lost 22 of them, but then I got another 55 of them, but then I lost 63 of them, so at the end I am left with 10 of them). I also have 65 iphone 7 mobiles (it is a funny story how I have 65 of them: initially I had 96, then I also got another 10 making it a total of 106, then I got another 39 making it a total of 145, but then I lost 80 of them so eventually I am left with 65 of them now). My friend also has 56 kia niro cars. I also have 29 toyota prius cars (I do not think I need this much). My friend also has 58 bears. My grandmother also has 1 wasp. I also have 97 kangaroos (I do not think I need this much). My friend also has 78 samsung galaxy c55 mobiles. I also have 86 penguins (here is why I have these many: initially I had 84 of them, then I lost 34 of them, but then I got another 89 of them, but then I lost 53 of them, so at the end I am left with 86 of them). My mother also has 80 nissan maxima cars. My mother also has 87 samsung galaxy z fold6 mobiles. My sister also has 45 iphone 4 mobiles. My friend also has 58 audi a6 cars. My uncle also has 18 armadillos. My sister also has 2 pigeons. I also have 91 motorola mobiles (received them yesterday). I also have 37 honda odyssey cars (received them last month). My grandmother also has 13 iphone 12 mobiles. I also have 52 iguanas (one day, I will have more of them). I also have 28 albatross (happt to have them). My father also has 43 iphone 8 mobiles. I also have 90 macaws (here is why I have these many: initially I had 68 of them, then I lost 60 of them, but then I got another 91 of them, but then I lost 9 of them, so at the end I am left with 90 of them). My cousin also has 6 prairie dogs. My grandfather also has 46 hummingbirds. My mother also has 83 iphone 6 mobiles. My aunt also has 68 bisons. I also have 47 iphone 15 mobiles (here is why I have these many: initially I had 70 of them, then I lost 11 of them, but then I got another 27 of them, but then I lost 39 of them, so at the end I am left with 47 of them). My friend also has 71 honda element cars. I also have 73 nissan sentra cars (here is why I have these many: initially I had 74 of them, then I lost 45 of them, but then I got another 95 of them, but then I lost 51 of them, so at the end I am left with 73 of them). I also have 38 alligators (it is a funny story how I have 38 of them: initially I had 22, then I also got another 59 making it a total of 81, then I got another 51 making it a total of 132, but then I lost 94 of them so eventually I am left with 38 of them now). I also have 71 dodge challenger cars (here is why I have these many: initially I had 43 of them, then I lost 26 of them, but then I got another 70 of them, but then I lost 16 of them, so at the end I am left with 71 of them). I also have 24 mazda mx-30 cars (received them last week). My uncle also has 77 honda passport cars. I also have 56 alpacas (I am in love with them). My grandfather also has 55 huawei pura 70 pro mobiles. My mother also has 49 chickens. I also have 18 mazda3 cars (feeling great about this). I also have 1 reindeer (hope to have more in the future). My sister also has 3 mazda cx-70 cars. My grandmother also has 94 owls. My brother also has 67 rats. My father also has 25 toyota corolla cars.  What is the sum of the total number of mobiles and animals/insects that I have?",
    "response_contract": {
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    "role": "final",
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  {
    "dataset": "bbeh",
    "family": "aac705efa1bc14ae4488095687e7976ce30a7dc05c2fa13311c51dc6623b7dc2",
    "id": "bbeh:object_counting:180",
    "request": "My father has 63 guzhengs. I have 87 quinces (I really like them). I also have 18 jonagold apples (they were given to me as a gift). My uncle has 86 setars. My grandfather has 49 french horns. I also have 89 blueberrys (it is a funny story how I have 89 of them: initially I had 25, then I also got another 22 making it a total of 47, then I got another 70 making it a total of 117, but then I lost 28 of them so eventually I am left with 89 of them now). My father also has 91 tambourines. I also have 34 huawei pura 70 pro mobiles (I like these a lot). I also have 53 nokia mobiles (received them last week). I also have 40 breadfruits (hope to have more in the future). I also have 45 samsung galaxy z fold6 mobiles (it is a funny story how I have 45 of them: initially I had 46, then I also got another 94 making it a total of 140, then I got another 36 making it a total of 176, but then I lost 131 of them so eventually I am left with 45 of them now). My cousin has 20 iphone 12 mobiles. My brother has 87 electric pianos. My sister has 37 shehnais. I also have 94 n'gonis (it is a funny story how I have 94 of them: initially I had 68, then I also got another 37 making it a total of 105, then I got another 13 making it a total of 118, but then I lost 24 of them so eventually I am left with 94 of them now). I also have 10 watermelons (it is a funny story how I have 10 of them: initially I had 95, then I also got another 63 making it a total of 158, then I got another 91 making it a total of 249, but then I lost 239 of them so eventually I am left with 10 of them now). My grandmother has 55 persimmons. My grandmother also has 85 oneplus mobiles. My sister also has 82 plantains. My aunt has 92 sitars. My grandfather also has 90 kotoes. My cousin also has 30 fuji apples. My mother has 55 bansuris. I also have 56 grenache grapes (it is a funny story how I have 56 of them: initially I had 35, then I also got another 34 making it a total of 69, then I got another 85 making it a total of 154, but then I lost 98 of them so eventually I am left with 56 of them now). My grandfather also has 33 didgeridoos. My cousin also has 36 pomegranates. I also have 13 lg mobiles (I really like them). My uncle also has 18 maracas. I also have 90 iphone 5 mobiles (received them last week). I also have 10 theremins (it is a funny story how I have 10 of them: initially I had 53, then I also got another 46 making it a total of 99, then I got another 79 making it a total of 178, but then I lost 168 of them so eventually I am left with 10 of them now). My father also has 25 synthesizer keyboards. My uncle also has 41 plums. I also have 35 double bass (it is a funny story how I have 35 of them: initially I had 96, then I also got another 15 making it a total of 111, then I got another 24 making it a total of 135, but then I lost 100 of them so eventually I am left with 35 of them now). My brother also has 19 pears. I also have 17 recorders (very happy to have them). My sister also has 71 iphone 16 mobiles. My grandmother also has 24 dates. My friend has 16 elderberryoranges. My aunt also has 60 starfruits. I also have 16 iphone 15 mobiles (feeling great about this). My cousin also has 21 koras. My mother also has 59 huawei pura 70 pro+ mobiles. My sister also has 71 cranberrys. I also have 2 nectarines (here is why I have these many: initially I had 30 of them, then I lost 12 of them, but then I got another 15 of them, but then I lost 31 of them, so at the end I am left with 2 of them). My father also has 29 blackberry mobiles. I also have 77 vivo mobiles (here is why I have these many: initially I had 23 of them, then I lost 21 of them, but then I got another 83 of them, but then I lost 8 of them, so at the end I am left with 77 of them). My sister also has 21 pinot noir grapes. I also have 46 lutes (I do not think I need this much). My grandfather also has 15 muscat grapes. My grandfather also has 91 huawei nova 12i mobiles. I also have 14 autoharps (it is a funny story how I have 14 of them: initially I had 35, then I also got another 69 making it a total of 104, then I got another 79 making it a total of 183, but then I lost 169 of them so eventually I am left with 14 of them now). I also have 34 huawei nova 12s mobiles (it is a funny story how I have 34 of them: initially I had 50, then I also got another 100 making it a total of 150, then I got another 80 making it a total of 230, but then I lost 196 of them so eventually I am left with 34 of them now). I also have 73 accordions (it is a funny story how I have 73 of them: initially I had 36, then I also got another 24 making it a total of 60, then I got another 81 making it a total of 141, but then I lost 68 of them so eventually I am left with 73 of them now). My grandfather also has 51 congas. My father also has 84 timpanis. My aunt also has 33 bass guitars. My uncle also has 14 raspberrys. My grandfather also has 77 sazzes. I also have 32 harmonicas (it is a funny story how I have 32 of them: initially I had 12, then I also got another 71 making it a total of 83, then I got another 19 making it a total of 102, but then I lost 70 of them so eventually I am left with 32 of them now). I also have 12 ouds (it is a funny story how I have 12 of them: initially I had 34, then I also got another 86 making it a total of 120, then I got another 100 making it a total of 220, but then I lost 208 of them so eventually I am left with 12 of them now). My brother also has 66 syrah grapes. I also have 42 samsung galaxy a15 mobiles (maybe I just need some of them). My friend also has 33 guavas. My father also has 94 tablas. My friend also has 82 google (pixel) mobiles. I also have 38 samsung galaxy m55s mobiles (happt to have them). I also have 63 sony mobiles (here is why I have these many: initially I had 76 of them, then I lost 60 of them, but then I got another 84 of them, but then I lost 37 of them, so at the end I am left with 63 of them). I also have 76 spartan apples (they are great). My grandfather also has 42 riesling grapes. My grandfather also has 63 honeydews. My father also has 81 pink lady apples. I also have 69 harpsichords (I am in love with them). My mother also has 65 htc mobiles. My father also has 43 grapefruits. My sister also has 70 kiwis. My grandfather also has 45 violins. My mother also has 21 jackfruits. My friend also has 16 samsung galaxy s24 mobiles. My sister also has 24 cantaloupes. I also have 27 trumpets (here is why I have these many: initially I had 91 of them, then I lost 10 of them, but then I got another 75 of them, but then I lost 129 of them, so at the end I am left with 27 of them). I also have 66 iphone 14 mobiles (I am in love with them). My friend also has 70 huawei nova 11 se mobiles. My sister also has 16 autumn royal grapes. My mother also has 8 huawei mate 70 mobiles. I also have 1 honor mobiles (I am in love with them). My aunt also has 54 merlot grapes. I also have 24 motorola mobiles (it is a funny story how I have 24 of them: initially I had 100, then I also got another 28 making it a total of 128, then I got another 25 making it a total of 153, but then I lost 129 of them so eventually I am left with 24 of them now). I also have 77 samsung galaxy a16 mobiles (happt to have them). I also have 87 electric violins (it is a funny story how I have 87 of them: initially I had 40, then I also got another 37 making it a total of 77, then I got another 97 making it a total of 174, but then I lost 87 of them so eventually I am left with 87 of them now). I also have 75 organs (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 87 of them, but then I lost 13 of them, so at the end I am left with 75 of them). I also have 68 ambrosia apples (it is a funny story how I have 68 of them: initially I had 43, then I also got another 35 making it a total of 78, then I got another 21 making it a total of 99, but then I lost 31 of them so eventually I am left with 68 of them now). I also have 28 cherrys (it is a funny story how I have 28 of them: initially I had 17, then I also got another 77 making it a total of 94, then I got another 31 making it a total of 125, but then I lost 97 of them so eventually I am left with 28 of them now). My aunt also has 82 lemons. My friend also has 56 durians. My grandmother also has 31 soursops. My sister also has 23 dragonfruits. My sister also has 58 drums. I also have 84 electric bass (here is why I have these many: initially I had 56 of them, then I lost 51 of them, but then I got another 85 of them, but then I lost 6 of them, so at the end I am left with 84 of them). My grandfather also has 65 iphone 4 mobiles. My grandfather also has 81 apricots. My grandmother also has 3 mulberrys. My sister also has 21 bongos. My cousin also has 46 cellos. My aunt also has 89 zte mobiles. My friend also has 32 vibraphone, steelpans.  What is the sum of the total number of mobiles and fruits that I have?",
    "response_contract": {
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    "role": "final",
    "task": "object_counting"
  },
  {
    "dataset": "bbeh",
    "family": "ad88364acfbab5543ba5337e487b3be5defcf8117389763ff6824f47becb8313",
    "id": "bbeh:object_counting:185",
    "request": "My brother has 75 huawei pura 70 ultra mobiles. I have 16 iphone 15 mobiles (received them last month). My grandmother has 46 butterflys. My uncle has 98 samsung galaxy a55 mobiles. My brother also has 40 armadillos. My uncle also has 28 leopards. I also have 64 honda element cars (hope to have more in the future). I also have 58 huawei mate x6 mobiles (here is why I have these many: initially I had 55 of them, then I lost 45 of them, but then I got another 59 of them, but then I lost 11 of them, so at the end I am left with 58 of them). My aunt has 6 nissan frintier cars. I also have 10 falcons (it is a funny story how I have 10 of them: initially I had 68, then I also got another 33 making it a total of 101, then I got another 53 making it a total of 154, but then I lost 144 of them so eventually I am left with 10 of them now). I also have 83 geese (they are great). I also have 76 honda hr-v cars (here is why I have these many: initially I had 51 of them, then I lost 33 of them, but then I got another 98 of them, but then I lost 40 of them, so at the end I am left with 76 of them). I also have 51 samsung galaxy f05 mobiles (I am in love with them). I also have 24 honda cr-z cars (I am in love with them). My cousin has 95 goats. My mother has 22 iphone 14 mobiles. My grandfather has 43 realme mobiles. My mother also has 37 otters. I also have 42 doves (it is a funny story how I have 42 of them: initially I had 13, then I also got another 20 making it a total of 33, then I got another 93 making it a total of 126, but then I lost 84 of them so eventually I am left with 42 of them now). My grandfather also has 8 ford edge cars. My friend has 67 lizards. My aunt also has 1 hyundai elantra cars. I also have 46 storks (it is a funny story how I have 46 of them: initially I had 34, then I also got another 61 making it a total of 95, then I got another 34 making it a total of 129, but then I lost 83 of them so eventually I am left with 46 of them now). I also have 87 iphone x mobiles (received them yesterday). I also have 55 kia niro cars (here is why I have these many: initially I had 24 of them, then I lost 23 of them, but then I got another 61 of them, but then I lost 7 of them, so at the end I am left with 55 of them). I also have 42 toyota 4runnertoyota sequoia cars (they were given to me as a gift). My friend also has 36 owls. My cousin also has 75 roosters. I also have 56 nissan ariya cars (received them last week). My grandfather also has 56 iphone 6 mobiles. I also have 43 iphone 16 mobiles (it is a funny story how I have 43 of them: initially I had 88, then I also got another 92 making it a total of 180, then I got another 24 making it a total of 204, but then I lost 161 of them so eventually I am left with 43 of them now). My grandfather also has 29 marmots. I also have 24 vivo mobiles (here is why I have these many: initially I had 47 of them, then I lost 18 of them, but then I got another 26 of them, but then I lost 31 of them, so at the end I am left with 24 of them). My grandmother also has 89 google (pixel) mobiles. My aunt also has 83 honor mobiles. My mother also has 98 iphone 8 mobiles. I also have 19 boa snakes (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 52 of them, but then I lost 35 of them, so at the end I am left with 19 of them). My uncle also has 74 honda cr-v cars. My grandfather also has 62 anteaters. My aunt also has 12 lg mobiles. My friend also has 91 deer. I also have 17 honda insight cars (here is why I have these many: initially I had 63 of them, then I lost 31 of them, but then I got another 43 of them, but then I lost 58 of them, so at the end I am left with 17 of them). I also have 33 toyota c-hr cars (it is a funny story how I have 33 of them: initially I had 81, then I also got another 62 making it a total of 143, then I got another 54 making it a total of 197, but then I lost 164 of them so eventually I am left with 33 of them now). I also have 35 mazda cx-50 cars (thrilled to have these). I also have 52 huawei nova 12i mobiles (here is why I have these many: initially I had 26 of them, then I lost 14 of them, but then I got another 88 of them, but then I lost 48 of them, so at the end I am left with 52 of them). My grandmother also has 51 nissan titan cars. My aunt also has 3 motorola mobiles. My grandmother also has 87 nissan murano cars. I also have 41 mazda2 cars (received them yesterday). I also have 19 toyota tacoma cars (very happy to have them). My mother also has 24 samsung galaxy z fold5 mobiles. My aunt also has 2 pigs. My grandfather also has 27 huawei nova 12 pro mobiles. My grandfather also has 75 subaru ascent cars. My friend also has 31 nissan sentra cars. My sister has 87 moose. My cousin also has 86 toyota highlander cars. My father has 31 python snakes. My brother also has 3 zebras. My brother also has 28 honda civic cars. I also have 4 nissan maxima cars (here is why I have these many: initially I had 91 of them, then I lost 54 of them, but then I got another 61 of them, but then I lost 94 of them, so at the end I am left with 4 of them). My mother also has 51 sony mobiles. My sister also has 22 rats. My friend also has 68 honda accord cars. I also have 58 honda odyssey cars (here is why I have these many: initially I had 30 of them, then I lost 14 of them, but then I got another 59 of them, but then I lost 17 of them, so at the end I am left with 58 of them). I also have 66 nissan pathfinder cars (received them last month). My father also has 59 seals. My father also has 10 mazda cx-90 cars. I also have 25 prairie dogs (feeling great about this). I also have 21 yaks (feeling great about this). I also have 81 guinea pigs (it is a funny story how I have 81 of them: initially I had 82, then I also got another 38 making it a total of 120, then I got another 80 making it a total of 200, but then I lost 119 of them so eventually I am left with 81 of them now). I also have 34 huawei nova 12s mobiles (planning to have more in the future). My uncle also has 32 flamingoes. I also have 94 huawei mate 70 mobiles (received them last month). I also have 67 mallards (it is a funny story how I have 67 of them: initially I had 26, then I also got another 14 making it a total of 40, then I got another 72 making it a total of 112, but then I lost 45 of them so eventually I am left with 67 of them now). I also have 97 honda passport cars (I really like them). My mother also has 22 oppo mobiles. My cousin also has 2 rhinoceros. My friend also has 84 iphone 13 mobiles. My father also has 40 stingrays. My mother also has 84 jeep gladiator cars. I also have 31 iphone 11 mobiles (here is why I have these many: initially I had 63 of them, then I lost 24 of them, but then I got another 83 of them, but then I lost 91 of them, so at the end I am left with 31 of them). I also have 60 hawks (received them last month). I also have 99 iphone 7 mobiles (received them yesterday). My sister also has 94 monkeys. My mother also has 86 dodge challenger cars. I also have 82 peacocks (planning to have more in the future). My grandfather also has 81 samsung galaxy tab s10 mobiles. My aunt also has 18 sharks. I also have 48 kingsnakes (it is a funny story how I have 48 of them: initially I had 81, then I also got another 19 making it a total of 100, then I got another 34 making it a total of 134, but then I lost 86 of them so eventually I am left with 48 of them now). My grandmother also has 68 tesla model s cars. My uncle also has 49 toyota prius cars. My uncle also has 65 bears. My brother also has 10 hedgehogs. My uncle also has 72 cockroaches. My father also has 89 hummingbirds. My grandfather also has 84 huawei pura 70 mobiles. I also have 66 mazda6 cars (I really like them). My friend also has 19 mazda cx-5 cars. My mother also has 51 mazda cx-70 cars. I also have 9 samsung galaxy a35 mobiles (received them last month). I also have 45 mazda mx-30 cars (it is a funny story how I have 45 of them: initially I had 96, then I also got another 72 making it a total of 168, then I got another 82 making it a total of 250, but then I lost 205 of them so eventually I am left with 45 of them now). My grandfather also has 22 newts. I also have 16 alpacas (it is a funny story how I have 16 of them: initially I had 85, then I also got another 80 making it a total of 165, then I got another 12 making it a total of 177, but then I lost 161 of them so eventually I am left with 16 of them now). My father also has 69 tecno mobiles. My mother also has 3 toyota corolla cars. My grandfather also has 88 iguanas. My cousin also has 73 nissan leaf cars. My father also has 88 subaru impreza cars. I also have 18 toyota avalon cars (here is why I have these many: initially I had 76 of them, then I lost 34 of them, but then I got another 100 of them, but then I lost 124 of them, so at the end I am left with 18 of them). My uncle also has 76 albatross. My brother also has 56 orangutans. My grandfather also has 61 samsung galaxy a16 mobiles. My brother also has 84 sheep. I also have 4 huawei nova 11 se mobiles (it is a funny story how I have 4 of them: initially I had 25, then I also got another 54 making it a total of 79, then I got another 65 making it a total of 144, but then I lost 140 of them so eventually I am left with 4 of them now). My cousin also has 40 xiaomi mobiles.  What is the absolute difference of the total number of animals/insects and mobiles that I have?",
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  {
    "dataset": "bbeh",
    "family": "e9a75e12c86b68ef38a4eeef4a950f562415d50823c9ba193163ed644ceca6cf",
    "id": "bbeh:object_counting:186",
    "request": "My grandmother has 97 wolves. My grandfather has 89 electric drums. I have 42 hedgehogs (received them last week). I also have 47 shrimps (it is a funny story how I have 47 of them: initially I had 56, then I also got another 28 making it a total of 84, then I got another 43 making it a total of 127, but then I lost 80 of them so eventually I am left with 47 of them now). My mother has 35 electric violins. My cousin has 31 grapefruits. I also have 75 harps (here is why I have these many: initially I had 45 of them, then I lost 31 of them, but then I got another 78 of them, but then I lost 17 of them, so at the end I am left with 75 of them). My grandfather also has 15 pinot noir grapes. My aunt has 58 vibraphone, steelpans. I also have 76 bassoons (it is a funny story how I have 76 of them: initially I had 49, then I also got another 30 making it a total of 79, then I got another 90 making it a total of 169, but then I lost 93 of them so eventually I am left with 76 of them now). My grandmother also has 6 jonagold apples. My brother has 54 donkeys. I also have 56 garter snakes (it is a funny story how I have 56 of them: initially I had 97, then I also got another 43 making it a total of 140, then I got another 95 making it a total of 235, but then I lost 179 of them so eventually I am left with 56 of them now). My father has 82 stingrays. I also have 70 elderberryoranges (thrilled to have these). My brother also has 66 durians. My father also has 4 possums. I also have 66 cotton candy grapes (it is a funny story how I have 66 of them: initially I had 72, then I also got another 77 making it a total of 149, then I got another 75 making it a total of 224, but then I lost 158 of them so eventually I am left with 66 of them now). I also have 44 hamsters (here is why I have these many: initially I had 58 of them, then I lost 27 of them, but then I got another 87 of them, but then I lost 74 of them, so at the end I am left with 44 of them). My uncle has 32 peaches. My father also has 43 lychees. I also have 23 albatross (it is a funny story how I have 23 of them: initially I had 20, then I also got another 33 making it a total of 53, then I got another 83 making it a total of 136, but then I lost 113 of them so eventually I am left with 23 of them now). My grandmother also has 7 honeycrisp apples. I also have 31 boars (thrilled to have these). I also have 45 plums (planning to have more in the future). I also have 32 guzhengs (it is a funny story how I have 32 of them: initially I had 43, then I also got another 45 making it a total of 88, then I got another 90 making it a total of 178, but then I lost 146 of them so eventually I am left with 32 of them now). My father also has 67 spartan apples. I also have 57 ravens (they are great). My grandfather also has 81 tars. I also have 31 lemons (here is why I have these many: initially I had 56 of them, then I lost 27 of them, but then I got another 30 of them, but then I lost 28 of them, so at the end I am left with 31 of them). I also have 57 xylophones (here is why I have these many: initially I had 84 of them, then I lost 48 of them, but then I got another 73 of them, but then I lost 52 of them, so at the end I am left with 57 of them). I also have 96 harmonicas (very happy to have them). I also have 77 alpacas (feeling great about this). I also have 22 koras (received them last week). My sister has 23 flamingoes. My grandmother also has 71 dragonfruits. I also have 82 tamburas (it is a funny story how I have 82 of them: initially I had 93, then I also got another 75 making it a total of 168, then I got another 19 making it a total of 187, but then I lost 105 of them so eventually I am left with 82 of them now). My father also has 78 emus. My aunt also has 43 pears. I also have 45 sitars (it is a funny story how I have 45 of them: initially I had 68, then I also got another 35 making it a total of 103, then I got another 76 making it a total of 179, but then I lost 134 of them so eventually I am left with 45 of them now). I also have 16 pineapples (here is why I have these many: initially I had 71 of them, then I lost 32 of them, but then I got another 84 of them, but then I lost 107 of them, so at the end I am left with 16 of them). My cousin also has 33 octopus. My father also has 54 pandas. I also have 41 cod (here is why I have these many: initially I had 64 of them, then I lost 53 of them, but then I got another 75 of them, but then I lost 45 of them, so at the end I am left with 41 of them). My grandfather also has 49 hammered dulcimers. I also have 82 nadaswarams (here is why I have these many: initially I had 47 of them, then I lost 34 of them, but then I got another 79 of them, but then I lost 10 of them, so at the end I am left with 82 of them). I also have 88 skunks (I am in love with them). My mother also has 67 deer. My friend has 29 electric guitars. My cousin also has 38 castanets. My brother also has 83 lions. My grandmother also has 40 ukuleles. I also have 19 breadfruits (they are great). My aunt also has 76 corgis. I also have 84 sloths (I do not think I need this much). My grandmother also has 62 erhus. My father also has 56 hippopotamus. My friend also has 47 electric cellos. I also have 5 goats (planning to have more in the future). I also have 21 clementinefigs (received them yesterday). My mother also has 37 tigers. My grandfather also has 17 plantains. I also have 63 mulberrys (I am in love with them). I also have 19 djembes (received them last month). My uncle also has 20 n'gonis. I also have 35 theremins (they are great). My grandmother also has 48 owls. My aunt also has 92 cranberrys. My father also has 89 biwas. I also have 50 falcons (it is a funny story how I have 50 of them: initially I had 95, then I also got another 12 making it a total of 107, then I got another 94 making it a total of 201, but then I lost 151 of them so eventually I am left with 50 of them now). I also have 96 gala apples (one day, I will have more of them). My aunt also has 37 double bass. I also have 82 wasps (here is why I have these many: initially I had 65 of them, then I lost 17 of them, but then I got another 42 of them, but then I lost 8 of them, so at the end I am left with 82 of them). My grandmother also has 63 ouds. My grandfather also has 26 chickens. My grandmother also has 19 salamanders. I also have 1 baboon (here is why I have these many: initially I had 59 of them, then I lost 39 of them, but then I got another 62 of them, but then I lost 81 of them, so at the end I am left with 1 of them). I also have 92 banjoes (received them last month). My aunt also has 66 narwhals. My father also has 75 bass guitars. I also have 63 starfruits (it is a funny story how I have 63 of them: initially I had 84, then I also got another 59 making it a total of 143, then I got another 73 making it a total of 216, but then I lost 153 of them so eventually I am left with 63 of them now). I also have 97 seals (feeling good about this). My sister also has 87 turkeys. My father also has 69 pianos. My grandfather also has 91 balafons. My mother also has 26 zebras. I also have 12 chinchillas (thrilled to have these). My father also has 76 swans. I also have 37 electric pianos (it is a funny story how I have 37 of them: initially I had 98, then I also got another 54 making it a total of 152, then I got another 84 making it a total of 236, but then I lost 199 of them so eventually I am left with 37 of them now).  What is the sum of the total number of fruits and musical instruments that I have?",
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    "role": "final",
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  {
    "dataset": "bbeh",
    "family": "7bc2044758eb59e497e66492e6fa969cf802f379c28fb059bcfdcea908ca3d04",
    "id": "bbeh:object_counting:197",
    "request": "I have 93 foxes (they are great). My mother has 13 fuji apples. I also have 48 echidnas (here is why I have these many: initially I had 66 of them, then I lost 32 of them, but then I got another 36 of them, but then I lost 22 of them, so at the end I am left with 48 of them). I also have 58 nissan leaf cars (happt to have them). My grandfather has 22 mazda6 cars. I also have 56 mangoes (here is why I have these many: initially I had 57 of them, then I lost 17 of them, but then I got another 98 of them, but then I lost 82 of them, so at the end I am left with 56 of them). My mother also has 82 subaru ascent cars. My grandmother has 75 lions. My mother also has 13 mazda cx-90 cars. I also have 1 toyota tacoma cars (happt to have them). My mother also has 74 clementinefigs. I also have 12 envy apples (received them yesterday). My grandfather also has 23 dates. My aunt has 38 cobras. My grandmother also has 57 spartan apples. My cousin has 84 horses. My uncle has 67 persimmons. My aunt also has 22 guavas. I also have 14 toyota 4runnertoyota sequoia cars (they are great). My sister has 4 honda cr-v cars. My aunt also has 92 tortoises. I also have 31 pink lady apples (received them yesterday). My sister also has 3 raccoons. I also have 54 honda accord cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 73 of them, but then I lost 20 of them, so at the end I am left with 54 of them). I also have 74 nissan rogue cars (happt to have them). I also have 19 antelopes (they were given to me as a gift). My father has 59 rhinoceros. My friend has 75 toyota prius cars. My father also has 8 salamanders. My grandfather also has 76 yaks. My aunt also has 70 honda cr-z cars. I also have 90 mazda cx-70 cars (feeling great about this). I also have 83 plantains (thrilled to have these). My sister also has 50 jeep gladiator cars. My brother has 96 dragonfruits. I also have 72 volkswagen golf cars (received them last week). My father also has 85 autumn royal grapes. My sister also has 53 pigs. My friend also has 10 hamsters. I also have 70 stingrays (here is why I have these many: initially I had 54 of them, then I lost 25 of them, but then I got another 45 of them, but then I lost 4 of them, so at the end I am left with 70 of them). I also have 2 honda hr-v cars (here is why I have these many: initially I had 26 of them, then I lost 17 of them, but then I got another 58 of them, but then I lost 65 of them, so at the end I am left with 2 of them). My uncle also has 29 orangutans. My sister also has 87 kingsnakes. My grandfather also has 28 hens. My grandmother also has 11 bats. My friend also has 64 raspberrys. My brother also has 34 cotton candy grapes. My friend also has 57 quinces. I also have 35 honda civic cars (here is why I have these many: initially I had 43 of them, then I lost 35 of them, but then I got another 84 of them, but then I lost 57 of them, so at the end I am left with 35 of them). I also have 45 swans (it is a funny story how I have 45 of them: initially I had 60, then I also got another 20 making it a total of 80, then I got another 13 making it a total of 93, but then I lost 48 of them so eventually I am left with 45 of them now). My aunt also has 46 elks. My friend also has 52 quails. My aunt also has 45 mules. My grandfather also has 33 cows. My sister also has 55 mazda cx-80 cars. I also have 64 lemurs (it is a funny story how I have 64 of them: initially I had 39, then I also got another 65 making it a total of 104, then I got another 80 making it a total of 184, but then I lost 120 of them so eventually I am left with 64 of them now). My cousin also has 38 apricots. I also have 59 chinchillas (I really like them). My father also has 93 toyota sienna cars. My aunt also has 69 nissan frintier cars. I also have 6 muscat grapes (one day, I will have more of them). My mother also has 58 camels. My friend also has 66 cherrys. I also have 20 mazda cx-30 cars (I really like them). I also have 89 strawberrys (I am in love with them). My brother also has 66 pears. I also have 95 emus (one day, I will have more of them). My father also has 84 elderberryoranges. My friend also has 68 mazda cx-5 cars. My grandmother also has 82 toyota avalon cars. My cousin also has 32 toads. I also have 29 cranberrys (it is a funny story how I have 29 of them: initially I had 98, then I also got another 87 making it a total of 185, then I got another 63 making it a total of 248, but then I lost 219 of them so eventually I am left with 29 of them now). My uncle also has 81 buick enclave cars. My father also has 51 canarys. My cousin also has 70 wasps. I also have 35 starfruits (they are great). My aunt also has 57 jazz apples. My mother also has 30 chardonnay grapes. My mother also has 77 goats. I also have 88 mazda3 cars (received them last month). My cousin also has 17 storks. My father also has 4 komodo dragons. My uncle also has 71 pinot noir grapes. My grandfather also has 67 manatees. My grandfather also has 3 tesla model s cars. I also have 83 sloths (here is why I have these many: initially I had 25 of them, then I lost 17 of them, but then I got another 94 of them, but then I lost 19 of them, so at the end I am left with 83 of them). I also have 75 breadfruits (I do not think I need this much). I also have 46 honeycrisp apples (here is why I have these many: initially I had 53 of them, then I lost 39 of them, but then I got another 70 of them, but then I lost 38 of them, so at the end I am left with 46 of them). My mother also has 83 magpies. I also have 32 peaches (it is a funny story how I have 32 of them: initially I had 54, then I also got another 53 making it a total of 107, then I got another 59 making it a total of 166, but then I lost 134 of them so eventually I am left with 32 of them now). I also have 82 honda element cars (planning to have more in the future). I also have 99 nissan altima cars (here is why I have these many: initially I had 20 of them, then I lost 19 of them, but then I got another 99 of them, but then I lost 1 of them, so at the end I am left with 99 of them). I also have 58 pandas (I really like them). My brother also has 73 honda odyssey cars. My brother also has 53 toyota camry cars. I also have 83 king cobra snakes (it is a funny story how I have 83 of them: initially I had 81, then I also got another 34 making it a total of 115, then I got another 52 making it a total of 167, but then I lost 84 of them so eventually I am left with 83 of them now). I also have 68 jellyfish (I do not think I need this much). I also have 43 geese (it is a funny story how I have 43 of them: initially I had 96, then I also got another 89 making it a total of 185, then I got another 68 making it a total of 253, but then I lost 210 of them so eventually I am left with 43 of them now). My cousin also has 36 dolphins. My father also has 82 ferrets. I also have 52 hawks (maybe I just need some of them). My sister also has 22 dogs. I also have 30 whales (received them last week). I also have 24 elephants (here is why I have these many: initially I had 54 of them, then I lost 50 of them, but then I got another 68 of them, but then I lost 48 of them, so at the end I am left with 24 of them). My grandfather also has 77 pigeons. My grandfather also has 56 soursops. My father also has 57 subaru outback cars. My mother also has 5 koalas. My uncle also has 31 nissan maxima cars. I also have 91 doves (thrilled to have these). I also have 56 sharks (it is a funny story how I have 56 of them: initially I had 39, then I also got another 84 making it a total of 123, then I got another 72 making it a total of 195, but then I lost 139 of them so eventually I am left with 56 of them now). My father also has 72 nissan kicks cars. My father also has 41 viper snakes. My grandmother also has 48 plums. My grandmother also has 39 iguanas. I also have 81 pineapples (here is why I have these many: initially I had 17 of them, then I lost 13 of them, but then I got another 93 of them, but then I lost 16 of them, so at the end I am left with 81 of them). I also have 97 hyundai santa fe cars (here is why I have these many: initially I had 26 of them, then I lost 16 of them, but then I got another 95 of them, but then I lost 8 of them, so at the end I am left with 97 of them). My grandfather also has 2 honda prologuq cars. My sister also has 33 toyota corolla cars. My brother also has 21 syrah grapes. My mother also has 58 blueberrys.  What is the sum of the total number of fruits and cars that I have?",
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  {
    "dataset": "bbeh",
    "family": "43851c9bb56a0bef25b4471c182bf2d69ecd78a1afe4df1844fcf04ee4a78de3",
    "id": "bbeh:object_properties:001",
    "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had an extra-small Chinese table made of concrete with a smell of rose, an extra-extra-large Portuguese house made of ceramic with a smell of freshly cut grass, an extra-extra-small Chinese ruler made of concrete with a smell of chocolate, a medium Mexican piano made of plastic with a smell of coconut, an extra-small German speaker made of steel with a smell of vanilla, an extra-extra-small Polish ball made of ceramic with a smell of gasoline, an extra-small Spanish hat made of concrete with a smell of burning wood, an extra-extra-large Russian guitar made of concrete with a smell of chocolate, a small Canadian dog made of steel with a smell of burning wood, an extra-large Italian bird made of ceramic with a smell of coffee, an extra-extra-large Chinese watch made of plastic with a smell of leather, an extra-extra-small Spanish hammer made of glass with a smell of coconut, an extra-large Italian pen made of ceramic with a smell of vinegar, an extra-large British bed made of plastic with a smell of vanilla, a large German plate made of steel with a smell of vanilla, an extra-extra-small Russian apple made of ceramic with a smell of wet dog, a medium Polish pencil made of steel with a smell of pine needles, an extra-extra-large Canadian speaker made of ceramic with a smell of garlic, an extra-small German apple made of glass with a smell of freshly cut grass, an extra-small Iranian saw made of plastic with a smell of coffee, a medium Chinese bicycle made of glass with a smell of citrus fruits, an extra-small Iranian house made of glass with a smell of gasoline, a medium Italian house made of glass with a smell of coffee, an extra-extra-large Russian watch made of concrete with a smell of vinegar, an extra-extra-small Canadian pencil made of concrete with a smell of gasoline, a small Spanish flower pot made of plastic with a smell of popcorn, an extra-extra-small Spanish camera made of concrete with a smell of garlic, a large Spanish guitar made of steel with a smell of gasoline, a small Polish earring made of ceramic with a smell of garlic, an extra-extra-large German calculator made of ceramic with a smell of leather, an extra-extra-large Canadian plate made of glass with a smell of baking bread. The color of the items was respectively as follows: the first 1 was beige, the next 2 were blue, the next 1 was crimson, the next 2 were gold, the next 2 were green, the next 2 were indigo, the next 4 were ivory, the next 1 was khaki, the next 2 were magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 5 were red, the next 2 were turquoise, the next 3 were white. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to rose. After this, my new collection had: 1 beige item(s), 2 blue item(s), 1 crimson item(s), 1 gold item(s), 1 green item(s), 2 indigo item(s), 6 ivory item(s), 1 pink item(s), 1 red item(s), 1 turquoise item(s), 2 white item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 2 blue item(s), 1 crimson item(s), 1 gold item(s), 1 green item(s), 2 indigo item(s), 6 ivory item(s), 1 pink item(s), 1 red item(s), 2 white item(s). Then, my brother replaced any item of size extra-extra-large in my new collection with an exact copy but with one specific size (different from extra-extra-large) and another exact copy but with color violet. After this, my new collection had: 6 extra-small item(s), 3 extra-extra-small item(s), 3 medium item(s), 3 small item(s), 3 extra-large item(s), 2 extra-extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: color is not violet, size is not medium, material is not steel, smell is not freshly cut grass, and origin is not Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "3243ecbbd5495582b8dc8f77ec00738833704a4d96394050048d5a8dc140c5f5",
    "id": "bbeh:object_properties:002",
    "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had an extra-large German clock made of glass with a smell of garlic, an extra-large Canadian earring made of glass with a smell of gasoline, a small Mexican bird made of steel with a smell of garlic, an extra-extra-large Japanese bird made of steel with a smell of coconut, an extra-large Russian house made of glass with a smell of popcorn, an extra-small Spanish dog made of steel with a smell of vinegar, a medium Brazilian knife made of glass with a smell of popcorn, an extra-extra-small Iranian car made of plastic with a smell of vinegar, an extra-large Afghan book made of glass with a smell of wet dog, an extra-large German umbrella made of plastic with a smell of chocolate, a small Turkish dog made of concrete with a smell of vanilla, a small Iranian stapler made of glass with a smell of coconut, a small Portuguese vase made of plastic with a smell of vanilla, a large Canadian apple made of ceramic with a smell of leather, an extra-small Turkish bird made of ceramic with a smell of chocolate, a medium Spanish box made of steel with a smell of coconut, a large British lamp made of glass with a smell of chocolate, a small Canadian saw made of glass with a smell of lavender, an extra-extra-large Turkish lamp made of ceramic with a smell of freshly cut grass, a small Portuguese bowl made of glass with a smell of garlic, an extra-extra-large Chinese lamp made of ceramic with a smell of wet dog, a small Mexican house made of ceramic with a smell of freshly cut grass, an extra-extra-large Brazilian flower pot made of steel with a smell of garlic, a medium Afghan pen made of concrete with a smell of coconut, an extra-extra-small Spanish camera made of steel with a smell of wet dog, a small Italian ball made of concrete with a smell of coffee, an extra-extra-small French saw made of steel with a smell of coffee, an extra-extra-small Japanese pencil made of plastic with a smell of vanilla, a large Chinese plate made of glass with a smell of pine needles, an extra-extra-small Polish marker made of ceramic with a smell of wet dog, an extra-extra-large Spanish pen made of ceramic with a smell of baking bread, a medium British pencil made of ceramic with a smell of coconut, an extra-extra-large Italian lamp made of steel with a smell of wet dog, an extra-extra-small Turkish trash can made of plastic with a smell of garlic, an extra-large Japanese earring made of glass with a smell of citrus fruits, an extra-extra-small Canadian spoon made of steel with a smell of wet dog, an extra-extra-large Afghan plier made of concrete with a smell of baking bread. The color of the items was respectively as follows: the first 3 were beige, the next 5 were black, the next 1 was brown, the next 1 was crimson, the next 3 were cyan, the next 2 were gray, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 5 were khaki, the next 1 was orange, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 3 were silver, the next 2 were teal, the next 3 were turquoise, the next 1 was violet. Then, my brother replaced any item of size extra-extra-small in my collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color crimson. After this, my collection had: 6 extra-large item(s), 8 small item(s), 7 extra-extra-large item(s), 2 extra-small item(s), 4 medium item(s), 10 large item(s), 7 extra-extra-small item(s). Then, my friend took any item with a smell of wet dog, coconut or chocolate in my new collection and threw it away. Then, my uncle threw away any Iranian item in my new collection, but gave me two of the same item, one French and one Italian (all other properties the same). Then, for any item with a smell of popcorn, leather, or chocolate in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 6 item(s) with garlic smell, 1 item(s) with gasoline smell, 2 item(s) with popcorn smell, 5 item(s) with vinegar smell, 4 item(s) with lavender smell, 3 item(s) with coffee smell, 4 item(s) with vanilla smell, 1 item(s) with leather smell, 2 item(s) with freshly cut grass smell, 1 item(s) with pine needles smell, 2 item(s) with baking bread smell, 1 item(s) with citrus fruits smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is ivory, or size is extra-large, or material is glass, or smell is popcorn, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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      "type": "exact_string"
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    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "699ccbdeac7a20560b1bb4c97a215ee8172c42546e6b449e1d393a9687fca44c",
    "id": "bbeh:object_properties:005",
    "request": "I had a collection of 50 weird items that went through a few changes. Initially, I had an extra-extra-large French box made of steel with a smell of lavender, a large Mexican knife made of plastic with a smell of popcorn, an extra-large Chinese bicycle made of concrete with a smell of wet dog, an extra-extra-small Mexican pencil made of steel with a smell of chocolate, a small Japanese candle made of glass with a smell of coffee, a small Chinese ruler made of glass with a smell of vinegar, an extra-large British watch made of plastic with a smell of rose, an extra-large Italian piano made of glass with a smell of vanilla, an extra-extra-small Polish car made of glass with a smell of pine needles, a large Polish earring made of glass with a smell of gasoline, a small Portuguese hat made of plastic with a smell of wet dog, an extra-extra-small Russian canvas made of steel with a smell of citrus fruits, an extra-large British umbrella made of concrete with a smell of popcorn, a medium Portuguese brush made of ceramic with a smell of coconut, an extra-small Portuguese camera made of steel with a smell of pine needles, a small Iranian calculator made of concrete with a smell of garlic, an extra-small British sunglasses made of concrete with a smell of chocolate, a medium Japanese table made of concrete with a smell of coconut, an extra-large French car made of steel with a smell of baking bread, an extra-small Afghan plate made of ceramic with a smell of burning wood, a small Afghan bag made of glass with a smell of coffee, an extra-extra-small Japanese necklace made of ceramic with a smell of leather, a small Canadian plier made of glass with a smell of chocolate, a medium Russian ball made of plastic with a smell of freshly cut grass, an extra-large Japanese key made of plastic with a smell of lavender, a small British camera made of glass with a smell of rose, a medium Iranian sofa made of ceramic with a smell of vanilla, a large British bird made of glass with a smell of freshly cut grass, a small Portuguese pencil made of steel with a smell of leather, an extra-small Portuguese brush made of steel with a smell of baking bread, a small Iranian book made of steel with a smell of gasoline, an extra-extra-large Japanese ruler made of plastic with a smell of vanilla, a small Japanese watch made of plastic with a smell of citrus fruits, a large Chinese plate made of steel with a smell of gasoline, an extra-extra-small Italian stapler made of glass with a smell of vinegar, a medium French banana made of glass with a smell of lavender, a small Turkish banana made of ceramic with a smell of citrus fruits, a small Japanese ball made of plastic with a smell of vanilla, an extra-extra-small Afghan fork made of glass with a smell of pine needles, an extra-small French wrench made of steel with a smell of coffee, an extra-small Brazilian scissors made of concrete with a smell of rose, an extra-extra-small Russian dog made of glass with a smell of baking bread, a small Russian shoe made of ceramic with a smell of pine needles, a large Canadian speaker made of ceramic with a smell of baking bread, a small Iranian candle made of glass with a smell of vanilla, an extra-extra-large Brazilian piano made of steel with a smell of coffee, an extra-small Chinese plier made of ceramic with a smell of gasoline, an extra-extra-large Italian saw made of plastic with a smell of vanilla, a medium Mexican guitar made of glass with a smell of gasoline, an extra-large Mexican piano made of steel with a smell of garlic. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 1 was blue, the next 2 were brown, the next 4 were crimson, the next 2 were cyan, the next 1 was gray, the next 3 were green, the next 2 were indigo, the next 2 were ivory, the next 3 were khaki, the next 5 were magenta, the next 6 were maroon, the next 1 was orange, the next 1 was pink, the next 2 were purple, the next 1 was red, the next 2 were silver, the next 2 were teal, the next 3 were turquoise, the next 2 were white, the next 2 were yellow. Then, my friend took any item with a smell of freshly cut grass, chocolate or lavender in my collection and threw it away. Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color black. After this, my new collection had: 4 large item(s), 10 medium item(s), 6 extra-large item(s), 13 small item(s), 6 extra-extra-small item(s), 6 extra-small item(s), 3 extra-extra-large item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 5 black item(s), 4 crimson item(s), 2 cyan item(s), 1 green item(s), 1 indigo item(s), 1 ivory item(s), 2 khaki item(s), 1 magenta item(s), 3 maroon item(s), 1 orange item(s), 2 purple item(s), 1 red item(s), 2 teal item(s), 2 turquoise item(s), 2 white item(s), 2 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: color is not khaki, size is not medium, material is not plastic, smell is not pine needles, and origin is not Turkish? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "63c47b5bfe935db796473762ff57dca98304465b322e9610b8bfdf8890b765eb",
    "id": "bbeh:object_properties:006",
    "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had an extra-small Brazilian shoe made of steel with a smell of vanilla, a medium Brazilian piano made of glass with a smell of wet dog, an extra-large Canadian necklace made of plastic with a smell of gasoline, a medium Iranian spoon made of ceramic with a smell of wet dog, an extra-small Iranian brush made of plastic with a smell of garlic, a large Italian umbrella made of steel with a smell of lavender, a large Japanese pen made of plastic with a smell of vanilla, a large German candle made of concrete with a smell of vanilla, an extra-extra-small Mexican book made of steel with a smell of wet dog, a small German knife made of concrete with a smell of coconut, an extra-small French bird made of ceramic with a smell of vanilla, a medium Mexican bed made of steel with a smell of gasoline, an extra-large Russian canvas made of plastic with a smell of burning wood, a large Mexican book made of glass with a smell of lavender, an extra-extra-large Spanish bag made of glass with a smell of wet dog, an extra-extra-large German stapler made of steel with a smell of chocolate, a small Chinese sofa made of plastic with a smell of gasoline, a large German umbrella made of glass with a smell of gasoline, an extra-extra-small Portuguese fork made of steel with a smell of citrus fruits, an extra-extra-small Russian drill made of steel with a smell of vinegar, a large French bird made of steel with a smell of pine needles, an extra-extra-small Chinese piano made of glass with a smell of baking bread, an extra-large German scissors made of steel with a smell of wet dog, a medium Italian saw made of plastic with a smell of citrus fruits, a medium Italian drill made of ceramic with a smell of citrus fruits, a large Spanish flower pot made of plastic with a smell of baking bread, an extra-large German sunglasses made of ceramic with a smell of pine needles, an extra-extra-large Japanese guitar made of steel with a smell of gasoline, a small British earring made of steel with a smell of burning wood, a small Italian banana made of plastic with a smell of vanilla, a medium French plier made of steel with a smell of wet dog, an extra-extra-small British piano made of ceramic with a smell of baking bread, an extra-large Brazilian vase made of plastic with a smell of vanilla, an extra-extra-large Italian cup made of ceramic with a smell of lavender, a small Turkish earring made of glass with a smell of vinegar, a small German earring made of plastic with a smell of pine needles, an extra-large Italian guitar made of plastic with a smell of leather. The color of the items was respectively as follows: the first 2 were beige, the next 3 were black, the next 1 was brown, the next 3 were crimson, the next 2 were cyan, the next 1 was gray, the next 2 were green, the next 3 were indigo, the next 2 were ivory, the next 2 were khaki, the next 3 were magenta, the next 1 was maroon, the next 3 were orange, the next 1 was pink, the next 2 were silver, the next 2 were teal, the next 1 was turquoise, the next 1 was violet, the next 2 were white. Then, for any item with a smell of leather, burning wood, or vanilla in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 6 item(s) with vanilla smell, 15 item(s) with wet dog smell, 5 item(s) with gasoline smell, 1 item(s) with garlic smell, 3 item(s) with lavender smell, 1 item(s) with coconut smell, 2 item(s) with burning wood smell, 1 item(s) with chocolate smell, 3 item(s) with citrus fruits smell, 2 item(s) with vinegar smell, 3 item(s) with pine needles smell, 3 item(s) with baking bread smell, 1 item(s) with leather smell. Then, my uncle threw away any Turkish item in my new collection, but gave me two of the same item, one British and one Chinese (all other properties the same). Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color red. After this, my new collection had: 5 extra-small item(s), 15 medium item(s), 9 large item(s), 5 extra-extra-small item(s), 9 small item(s), 4 extra-extra-large item(s), 9 extra-large item(s). Then, for any item of color ivory in my new collection, my mom gave me another one of the same item, but with a teal color, Spanish origin, small size, garlic smell, and made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is beige, or size is extra-small, or material is glass, or smell is vinegar, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "093436360dad9dc54d634661a1213ff038a59e0169de1a02ab6c6dbd8bd77420",
    "id": "bbeh:object_properties:007",
    "request": "I had a collection of 34 weird items that went through a few changes. Initially, I had a medium French speaker made of glass with a smell of wet dog, an extra-extra-small Spanish bicycle made of plastic with a smell of pine needles, a small Canadian canvas made of ceramic with a smell of wet dog, a medium Brazilian hat made of plastic with a smell of gasoline, an extra-extra-small Polish wrench made of steel with a smell of vinegar, a medium Iranian vase made of glass with a smell of wet dog, an extra-small Brazilian marker made of plastic with a smell of vanilla, an extra-extra-small French apple made of steel with a smell of coffee, a medium Japanese banana made of plastic with a smell of rose, an extra-extra-small Japanese box made of steel with a smell of chocolate, a medium Spanish ball made of steel with a smell of citrus fruits, a small German chair made of glass with a smell of coffee, an extra-large Mexican umbrella made of concrete with a smell of freshly cut grass, an extra-extra-large Brazilian spoon made of concrete with a smell of leather, an extra-large Italian hat made of concrete with a smell of garlic, an extra-extra-small Turkish box made of steel with a smell of lavender, an extra-small Japanese candle made of ceramic with a smell of coffee, a large Afghan calculator made of plastic with a smell of popcorn, an extra-small German scissors made of concrete with a smell of burning wood, a large Spanish trash can made of plastic with a smell of garlic, a small British guitar made of steel with a smell of citrus fruits, a medium German lamp made of concrete with a smell of vanilla, an extra-extra-small Spanish sofa made of plastic with a smell of citrus fruits, a medium Turkish watch made of ceramic with a smell of popcorn, a medium Mexican necklace made of ceramic with a smell of citrus fruits, a medium German watch made of plastic with a smell of vinegar, a medium British drill made of plastic with a smell of vinegar, a medium Japanese candle made of glass with a smell of wet dog, an extra-large Mexican bag made of concrete with a smell of citrus fruits, a medium Turkish necklace made of ceramic with a smell of chocolate, an extra-extra-small Canadian candle made of concrete with a smell of chocolate, an extra-extra-small Japanese ring made of steel with a smell of garlic, an extra-extra-small Italian house made of plastic with a smell of coffee, a large Brazilian bottle made of concrete with a smell of citrus fruits. The color of the items was respectively as follows: the first 2 were beige, the next 1 was black, the next 2 were brown, the next 3 were crimson, the next 3 were gray, the next 3 were green, the next 2 were indigo, the next 4 were ivory, the next 1 was khaki, the next 3 were magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 2 were red, the next 2 were silver, the next 2 were teal, the next 1 was turquoise. Then, my uncle threw away any Canadian item in my collection, but gave me two of the same item, one Polish and one Italian (all other properties the same). Then, for any item with a smell of leather, vinegar, or coconut in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 5 item(s) with wet dog smell, 1 item(s) with pine needles smell, 1 item(s) with gasoline smell, 3 item(s) with vinegar smell, 4 item(s) with baking bread smell, 2 item(s) with vanilla smell, 4 item(s) with coffee smell, 1 item(s) with rose smell, 4 item(s) with chocolate smell, 6 item(s) with citrus fruits smell, 1 item(s) with freshly cut grass smell, 1 item(s) with leather smell, 3 item(s) with garlic smell, 1 item(s) with lavender smell, 2 item(s) with popcorn smell, 1 item(s) with burning wood smell. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a magenta color, Italian origin, extra-extra-small size, pine needles smell, and made of ceramic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: color is not khaki, size is not extra-extra-small, material is not glass, smell is not pine needles, and origin is not Turkish? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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      "type": "exact_string"
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    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "b354b4791f30b594303c74dd73a4ce0aa409031a9b41ff13f2ab894aa7aaba04",
    "id": "bbeh:object_properties:008",
    "request": "I had a collection of 36 weird items that went through a few changes. Initially, I had an extra-small Russian calculator made of concrete with a smell of lavender, a large Spanish brush made of concrete with a smell of garlic, a medium Iranian shirt made of glass with a smell of lavender, an extra-small Japanese key made of steel with a smell of chocolate, a large Turkish bed made of glass with a smell of freshly cut grass, a small Afghan shoe made of plastic with a smell of rose, a medium Brazilian brush made of plastic with a smell of vanilla, a small Italian trash can made of steel with a smell of pine needles, an extra-extra-small Japanese trash can made of steel with a smell of vanilla, an extra-extra-large Portuguese dog made of plastic with a smell of citrus fruits, a large German wallet made of ceramic with a smell of leather, an extra-large Canadian bird made of concrete with a smell of freshly cut grass, an extra-large French candle made of plastic with a smell of leather, an extra-small Canadian trash can made of ceramic with a smell of popcorn, an extra-large French camera made of concrete with a smell of pine needles, a medium Portuguese piano made of steel with a smell of leather, a medium Japanese clock made of ceramic with a smell of rose, a medium French scissors made of concrete with a smell of garlic, an extra-small Russian plate made of plastic with a smell of pine needles, an extra-large French chair made of glass with a smell of wet dog, an extra-extra-small Chinese bed made of plastic with a smell of chocolate, an extra-small Brazilian ball made of plastic with a smell of citrus fruits, an extra-small Mexican marker made of concrete with a smell of popcorn, a medium German plate made of plastic with a smell of freshly cut grass, a medium British knife made of glass with a smell of garlic, a medium Italian necklace made of concrete with a smell of baking bread, a medium Afghan pencil made of glass with a smell of baking bread, an extra-large Afghan ball made of plastic with a smell of wet dog, a medium Afghan ring made of concrete with a smell of leather, a large Canadian key made of steel with a smell of baking bread, an extra-extra-large Iranian house made of ceramic with a smell of popcorn, a small Canadian pencil made of plastic with a smell of wet dog, an extra-extra-small French box made of glass with a smell of chocolate, an extra-large Spanish hat made of concrete with a smell of coffee, an extra-large Italian plier made of ceramic with a smell of chocolate, an extra-extra-small Portuguese box made of ceramic with a smell of garlic. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 2 were blue, the next 1 was brown, the next 3 were crimson, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 2 were ivory, the next 3 were khaki, the next 1 was magenta, the next 1 was maroon, the next 2 were orange, the next 2 were purple, the next 2 were red, the next 3 were silver, the next 1 was teal, the next 1 was turquoise, the next 2 were violet, the next 3 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 2 beige item(s), 2 black item(s), 2 blue item(s), 1 brown item(s), 3 crimson item(s), 1 gray item(s), 1 green item(s), 1 indigo item(s), 2 ivory item(s), 3 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 orange item(s), 2 purple item(s), 2 red item(s), 3 silver item(s), 1 teal item(s), 2 violet item(s), 3 yellow item(s). Then, my uncle threw away any Canadian item in my new collection, but gave me two of the same item, one Afghan and one Portuguese (all other properties the same). Then, for any item of color crimson in my new collection, my mom gave me another one of the same item, but with a indigo color, Mexican origin, extra-extra-small size, vanilla smell, and made of ceramic. Then, for any item with a smell of wet dog, coffee, or rose in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with lavender smell, 4 item(s) with garlic smell, 4 item(s) with chocolate smell, 4 item(s) with freshly cut grass smell, 2 item(s) with rose smell, 7 item(s) with coconut smell, 5 item(s) with vanilla smell, 3 item(s) with pine needles smell, 2 item(s) with citrus fruits smell, 4 item(s) with leather smell, 3 item(s) with popcorn smell, 4 item(s) with wet dog smell, 4 item(s) with baking bread smell, 1 item(s) with coffee smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is ivory, or size is extra-small, or material is plastic, or smell is citrus fruits, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "role": "final",
    "task": "object_properties"
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  {
    "dataset": "bbeh",
    "family": "3360e7081e3dbd301368a8dddf4f11038ad369959eebc039798c3a324a907982",
    "id": "bbeh:object_properties:010",
    "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had an extra-extra-small Afghan plier made of steel with a smell of chocolate, an extra-small Brazilian saw made of plastic with a smell of rose, a large Spanish drill made of glass with a smell of rose, a small Chinese house made of ceramic with a smell of leather, an extra-small Mexican brush made of concrete with a smell of baking bread, a medium Portuguese chair made of steel with a smell of chocolate, a large Chinese speaker made of glass with a smell of freshly cut grass, a large French marker made of glass with a smell of freshly cut grass, an extra-extra-small British spoon made of plastic with a smell of freshly cut grass, a large Iranian drill made of steel with a smell of pine needles, an extra-extra-small Afghan guitar made of concrete with a smell of pine needles, a medium Spanish canvas made of steel with a smell of coffee, an extra-large Brazilian guitar made of plastic with a smell of rose, an extra-extra-large German canvas made of ceramic with a smell of coffee, a large Canadian flower pot made of steel with a smell of burning wood, an extra-extra-small Italian apple made of concrete with a smell of baking bread, a medium French lamp made of glass with a smell of lavender, an extra-extra-large French key made of steel with a smell of leather, an extra-small French screwdriver made of plastic with a smell of freshly cut grass, a large Mexican shoe made of plastic with a smell of coffee, a medium British bicycle made of ceramic with a smell of burning wood, a large Italian bowl made of plastic with a smell of vinegar, a medium Canadian saw made of ceramic with a smell of lavender, an extra-small Russian flower pot made of glass with a smell of pine needles, a medium Spanish scissors made of plastic with a smell of coconut, a large British earring made of steel with a smell of wet dog, a large Afghan dog made of ceramic with a smell of popcorn, a small Afghan apple made of plastic with a smell of chocolate, a small Mexican car made of plastic with a smell of gasoline, an extra-small Canadian key made of ceramic with a smell of wet dog, an extra-extra-small Mexican fork made of plastic with a smell of leather, an extra-large German stapler made of steel with a smell of coconut, an extra-small Chinese flower pot made of steel with a smell of citrus fruits, a large Spanish umbrella made of ceramic with a smell of pine needles, an extra-extra-large Polish banana made of ceramic with a smell of burning wood, a large Japanese spoon made of plastic with a smell of citrus fruits, a medium Canadian flower pot made of concrete with a smell of vanilla, a small Chinese vase made of ceramic with a smell of garlic, an extra-extra-small Canadian wrench made of concrete with a smell of rose, a large Iranian house made of concrete with a smell of baking bread, an extra-extra-small Iranian ball made of glass with a smell of leather, an extra-small Mexican stapler made of plastic with a smell of popcorn, a medium Italian sofa made of plastic with a smell of lavender, a large Brazilian candle made of concrete with a smell of vinegar. The color of the items was respectively as follows: the first 3 were beige, the next 1 was black, the next 4 were blue, the next 2 were brown, the next 4 were crimson, the next 1 was gold, the next 1 was gray, the next 4 were green, the next 3 were ivory, the next 1 was magenta, the next 1 was orange, the next 1 was pink, the next 3 were purple, the next 3 were red, the next 2 were turquoise, the next 2 were violet, the next 3 were white, the next 5 were yellow. Then, for each item of size medium in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of leather (all other properties the same). After this, my collection had: 15 item(s) made of steel, 11 item(s) made of plastic, 5 item(s) made of glass, 7 item(s) made of ceramic, 6 item(s) made of concrete. Then, my uncle threw away any Japanese item in my new collection, but gave me two of the same item, one Italian and one Canadian (all other properties the same). Then, for any item with a smell of vinegar, leather, or chocolate in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with chocolate smell, 4 item(s) with rose smell, 17 item(s) with gasoline smell, 12 item(s) with leather smell, 3 item(s) with baking bread smell, 4 item(s) with freshly cut grass smell, 4 item(s) with pine needles smell, 2 item(s) with coffee smell, 2 item(s) with burning wood smell, 2 item(s) with vinegar smell, 2 item(s) with wet dog smell, 2 item(s) with popcorn smell, 1 item(s) with coconut smell, 3 item(s) with citrus fruits smell, 1 item(s) with garlic smell. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to vinegar. After this, my new collection had: 4 beige item(s), 9 black item(s), 4 blue item(s), 2 brown item(s), 4 crimson item(s), 1 gold item(s), 6 green item(s), 6 ivory item(s), 1 magenta item(s), 2 orange item(s), 1 pink item(s), 4 purple item(s), 4 red item(s), 2 turquoise item(s), 3 violet item(s), 3 white item(s), 5 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the large items in my collection.  In my current collection, how many items have the following attributes: either color is crimson, or size is large, or material is concrete, or smell is chocolate, or origin is Italian? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "c85d1920bcfe62a4ed1cb6ac044867a45ee091d8911f9e055ce21e9ab0f6efe5",
    "id": "bbeh:object_properties:011",
    "request": "I had a collection of 49 weird items that went through a few changes. Initially, I had an extra-extra-large Mexican camera made of ceramic with a smell of leather, an extra-extra-large British drill made of concrete with a smell of chocolate, an extra-large Brazilian bag made of steel with a smell of leather, a small Portuguese stapler made of steel with a smell of lavender, an extra-extra-small Brazilian fork made of plastic with a smell of coffee, an extra-extra-small Brazilian fork made of plastic with a smell of burning wood, an extra-extra-large Japanese scissors made of plastic with a smell of baking bread, a small French ruler made of steel with a smell of vinegar, a large Afghan bicycle made of ceramic with a smell of pine needles, an extra-extra-large Canadian camera made of plastic with a smell of coconut, an extra-extra-small Spanish shirt made of plastic with a smell of gasoline, a small Chinese watch made of plastic with a smell of vanilla, an extra-large Canadian pen made of plastic with a smell of lavender, an extra-small Afghan piano made of ceramic with a smell of citrus fruits, a small Canadian earring made of plastic with a smell of popcorn, an extra-extra-large Afghan table made of steel with a smell of baking bread, an extra-small Spanish calculator made of ceramic with a smell of freshly cut grass, a large Mexican ball made of steel with a smell of freshly cut grass, a medium German screwdriver made of steel with a smell of burning wood, an extra-extra-small Turkish bag made of glass with a smell of coffee, an extra-large Turkish bottle made of concrete with a smell of popcorn, a small French table made of plastic with a smell of coconut, a small French wrench made of concrete with a smell of vanilla, an extra-small Turkish cup made of concrete with a smell of coconut, an extra-extra-large French guitar made of ceramic with a smell of lavender, a medium Spanish sofa made of ceramic with a smell of vanilla, a large Mexican clock made of ceramic with a smell of burning wood, an extra-extra-small Turkish screwdriver made of ceramic with a smell of lavender, an extra-extra-large Spanish lamp made of concrete with a smell of vinegar, a small German pen made of steel with a smell of garlic, an extra-small Chinese pen made of ceramic with a smell of burning wood, a large Polish umbrella made of steel with a smell of popcorn, an extra-small Chinese sofa made of ceramic with a smell of freshly cut grass, an extra-extra-large Iranian bottle made of concrete with a smell of baking bread, an extra-large Turkish screwdriver made of glass with a smell of leather, an extra-large Afghan shoe made of plastic with a smell of coconut, a medium French clock made of glass with a smell of garlic, an extra-extra-large Mexican table made of steel with a smell of garlic, a medium French bowl made of ceramic with a smell of wet dog, an extra-small Russian box made of ceramic with a smell of rose, an extra-small Portuguese shirt made of plastic with a smell of leather, a large Spanish watch made of steel with a smell of pine needles, an extra-small Russian vase made of ceramic with a smell of vanilla, an extra-large Italian wrench made of plastic with a smell of lavender, an extra-large Afghan saw made of steel with a smell of coffee, a medium French marker made of ceramic with a smell of rose, an extra-small Japanese wallet made of ceramic with a smell of garlic, an extra-extra-large Chinese screwdriver made of glass with a smell of gasoline, a small Portuguese calculator made of plastic with a smell of burning wood. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 5 were blue, the next 3 were brown, the next 2 were crimson, the next 2 were cyan, the next 3 were gold, the next 1 was green, the next 2 were ivory, the next 1 was khaki, the next 2 were magenta, the next 2 were maroon, the next 4 were orange, the next 1 was pink, the next 2 were purple, the next 3 were red, the next 3 were silver, the next 2 were teal, the next 1 was turquoise, the next 1 was violet, the next 3 were white, the next 3 were yellow. Then, my friend took any item with a smell of baking bread, coffee or wet dog in my collection and threw it away. Then, for each item of size small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 14 item(s) made of ceramic, 4 item(s) made of concrete, 6 item(s) made of steel, 11 item(s) made of glass, 7 item(s) made of plastic. Then, my uncle threw away any Japanese item in my new collection, but gave me two of the same item, one Turkish and one French (all other properties the same). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-large items in my collection.  In my current collection, how many items have the following attributes: color is not blue, size is not extra-extra-large, material is not plastic, smell is not citrus fruits, and origin is not Canadian? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "5a1cc1da111c0ee844140669e27413e9261cf293fba02284e637de637f13ba26",
    "id": "bbeh:object_properties:014",
    "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had a small British shoe made of ceramic with a smell of freshly cut grass, a small Canadian spoon made of glass with a smell of rose, a small Japanese shoe made of ceramic with a smell of burning wood, a large Brazilian canvas made of concrete with a smell of lavender, an extra-extra-large Mexican sunglasses made of steel with a smell of citrus fruits, a medium British pencil made of concrete with a smell of lavender, a medium Brazilian piano made of ceramic with a smell of wet dog, an extra-extra-large Afghan ring made of glass with a smell of freshly cut grass, an extra-large British calculator made of concrete with a smell of rose, an extra-large Italian car made of glass with a smell of burning wood, a large Portuguese brush made of plastic with a smell of popcorn, an extra-small Afghan guitar made of glass with a smell of garlic, an extra-large Russian stapler made of steel with a smell of baking bread, an extra-extra-small Japanese lamp made of plastic with a smell of rose, an extra-extra-large German vase made of glass with a smell of leather, a large Russian drill made of plastic with a smell of pine needles, an extra-small German shoe made of steel with a smell of pine needles, an extra-extra-large Italian knife made of ceramic with a smell of burning wood, an extra-extra-small French plier made of plastic with a smell of citrus fruits, a large Turkish key made of glass with a smell of coconut, an extra-extra-small Afghan scissors made of plastic with a smell of pine needles, a small British brush made of glass with a smell of lavender, a medium German box made of steel with a smell of baking bread, an extra-small German book made of glass with a smell of baking bread, an extra-small German bag made of concrete with a smell of burning wood, an extra-large German car made of steel with a smell of citrus fruits, an extra-extra-large Spanish umbrella made of steel with a smell of vinegar, an extra-large French calculator made of glass with a smell of chocolate, a small Iranian bag made of ceramic with a smell of vanilla, a small Afghan hammer made of concrete with a smell of vinegar, an extra-extra-small Japanese candle made of glass with a smell of leather, a small Spanish bicycle made of glass with a smell of baking bread, an extra-large Mexican guitar made of concrete with a smell of gasoline, a medium Turkish car made of glass with a smell of chocolate, a medium French bottle made of glass with a smell of coconut, an extra-large Japanese scissors made of ceramic with a smell of gasoline, an extra-large Turkish apple made of ceramic with a smell of lavender. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 1 was blue, the next 2 were brown, the next 5 were crimson, the next 1 was gold, the next 2 were green, the next 1 was indigo, the next 4 were khaki, the next 2 were magenta, the next 3 were maroon, the next 1 was orange, the next 4 were purple, the next 2 were red, the next 1 was silver, the next 1 was turquoise, the next 1 was violet, the next 2 were white, the next 2 were yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my friend took any item with a smell of wet dog, vinegar or citrus fruits in my new collection and threw it away. Then, for each item of size small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of freshly cut grass (all other properties the same). After this, my new collection had: 12 item(s) made of glass, 2 item(s) made of concrete, 3 item(s) made of steel, 2 item(s) made of plastic, 2 item(s) made of ceramic. Then, my uncle threw away any Brazilian item in my new collection, but gave me two of the same item, one Russian and one Japanese (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is indigo, or size is extra-extra-small, or material is plastic, or smell is baking bread, or origin is Turkish? If the exact number cannot be computed, the answer must be \"unknown\".",
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  },
  {
    "dataset": "bbeh",
    "family": "5ce92943d61546f3b2740dac6200d1a83503d1c289f4d276471f0fd43285ad40",
    "id": "bbeh:object_properties:028",
    "request": "I had a collection of 47 weird items that went through a few changes. Initially, I had an extra-large Brazilian car made of ceramic with a smell of lavender, an extra-extra-large Iranian piano made of concrete with a smell of popcorn, an extra-large Mexican pen made of ceramic with a smell of garlic, a small Afghan sunglasses made of glass with a smell of wet dog, an extra-extra-small French earring made of concrete with a smell of coconut, a large Portuguese ring made of ceramic with a smell of popcorn, a small Chinese sofa made of concrete with a smell of baking bread, a small German ruler made of concrete with a smell of burning wood, an extra-extra-small Brazilian ring made of plastic with a smell of chocolate, an extra-small French house made of ceramic with a smell of rose, an extra-large Turkish bicycle made of glass with a smell of leather, an extra-extra-small Chinese wallet made of ceramic with a smell of coffee, an extra-small Italian piano made of glass with a smell of vanilla, an extra-extra-large Spanish lamp made of ceramic with a smell of popcorn, an extra-extra-small German saw made of steel with a smell of freshly cut grass, a medium Portuguese clock made of ceramic with a smell of vanilla, a medium Spanish bed made of plastic with a smell of rose, an extra-extra-small Chinese guitar made of plastic with a smell of chocolate, a medium Russian candle made of glass with a smell of garlic, an extra-extra-small Polish vase made of ceramic with a smell of vanilla, an extra-small British hat made of glass with a smell of wet dog, a medium Afghan bird made of concrete with a smell of pine needles, an extra-small Japanese stapler made of plastic with a smell of coffee, an extra-large Russian chair made of concrete with a smell of gasoline, an extra-large German clock made of plastic with a smell of citrus fruits, a small Iranian wallet made of steel with a smell of vanilla, an extra-extra-small Spanish clock made of concrete with a smell of wet dog, an extra-large Afghan dog made of glass with a smell of rose, a medium Polish watch made of ceramic with a smell of popcorn, a large Spanish watch made of concrete with a smell of coconut, an extra-extra-large Chinese box made of glass with a smell of coconut, a medium Polish hat made of concrete with a smell of garlic, a large Russian shirt made of ceramic with a smell of wet dog, an extra-small Spanish speaker made of ceramic with a smell of vinegar, a small Turkish shoe made of plastic with a smell of vinegar, an extra-extra-large Spanish car made of concrete with a smell of vinegar, an extra-extra-small Canadian flower pot made of steel with a smell of citrus fruits, an extra-large German box made of glass with a smell of vanilla, an extra-large Japanese house made of concrete with a smell of gasoline, a large Portuguese piano made of plastic with a smell of pine needles, a large Canadian flower pot made of plastic with a smell of gasoline, a medium German earring made of steel with a smell of wet dog, a medium Japanese plate made of glass with a smell of coconut, a small Brazilian plier made of glass with a smell of burning wood, an extra-extra-large Japanese bicycle made of ceramic with a smell of pine needles, an extra-extra-large Russian lamp made of ceramic with a smell of wet dog, an extra-large Japanese bag made of steel with a smell of baking bread. The color of the items was respectively as follows: the first 4 were beige, the next 4 were black, the next 2 were blue, the next 3 were brown, the next 2 were cyan, the next 5 were gold, the next 3 were gray, the next 3 were green, the next 2 were ivory, the next 1 was maroon, the next 3 were orange, the next 3 were pink, the next 4 were purple, the next 1 was red, the next 1 was silver, the next 1 was teal, the next 3 were violet, the next 1 was white, the next 1 was yellow. Then, my uncle threw away any Russian item in my collection, but gave me two of the same item, one Chinese and one Canadian (all other properties the same). Then, my friend took any item with a smell of freshly cut grass, baking bread or vinegar in my new collection and threw it away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to leather. After this, my new collection had: 1 cyan item(s), 3 gold item(s), 3 gray item(s), 3 green item(s), 4 ivory item(s), 1 maroon item(s), 3 orange item(s), 2 pink item(s), 2 purple item(s), 1 red item(s), 1 silver item(s), 3 violet item(s), 2 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is red, or size is extra-extra-small, or material is glass, or smell is leather, or origin is Japanese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "b4ecffbea93070099609dc719ea0d51b92954a27aad8df2da8eed7839c467e50",
    "id": "bbeh:object_properties:030",
    "request": "I had a collection of 39 weird items that went through a few changes. Initially, I had a large Canadian cup made of glass with a smell of vanilla, a small Chinese chair made of concrete with a smell of vinegar, a large Turkish camera made of plastic with a smell of pine needles, an extra-extra-small Japanese jar made of glass with a smell of citrus fruits, a large Spanish bicycle made of steel with a smell of pine needles, an extra-small Japanese ball made of glass with a smell of rose, an extra-extra-small French trash can made of concrete with a smell of coffee, an extra-extra-large Portuguese calculator made of concrete with a smell of coconut, an extra-extra-small German table made of ceramic with a smell of chocolate, an extra-extra-large Iranian stapler made of concrete with a smell of wet dog, a large British calculator made of steel with a smell of chocolate, an extra-small Mexican bottle made of ceramic with a smell of popcorn, a small Portuguese spoon made of ceramic with a smell of burning wood, a medium French cup made of ceramic with a smell of citrus fruits, an extra-small Spanish trash can made of plastic with a smell of baking bread, an extra-extra-small Chinese spoon made of ceramic with a smell of baking bread, an extra-large Iranian marker made of ceramic with a smell of burning wood, a medium Chinese house made of ceramic with a smell of vinegar, an extra-extra-large Polish canvas made of plastic with a smell of vinegar, a small Spanish drill made of ceramic with a smell of wet dog, an extra-large Turkish fork made of steel with a smell of wet dog, a large Polish shoe made of steel with a smell of wet dog, an extra-extra-small Polish vase made of glass with a smell of vanilla, an extra-large Afghan book made of ceramic with a smell of garlic, an extra-small Canadian guitar made of plastic with a smell of pine needles, a medium British drill made of steel with a smell of pine needles, a small Brazilian hat made of ceramic with a smell of burning wood, a large Turkish pen made of concrete with a smell of garlic, an extra-extra-small Brazilian spoon made of plastic with a smell of vanilla, an extra-large Polish stapler made of steel with a smell of lavender, an extra-small German flower pot made of concrete with a smell of wet dog, an extra-small Spanish bicycle made of ceramic with a smell of leather, an extra-extra-large Chinese wrench made of glass with a smell of baking bread, an extra-extra-large Turkish jar made of plastic with a smell of baking bread, a small Afghan pencil made of concrete with a smell of burning wood, a small Chinese book made of plastic with a smell of chocolate, a small Polish jar made of ceramic with a smell of wet dog, an extra-small Canadian stapler made of ceramic with a smell of leather, an extra-extra-small Italian scissors made of concrete with a smell of rose. The color of the items was respectively as follows: the first 4 were beige, the next 2 were black, the next 1 was blue, the next 2 were brown, the next 1 was crimson, the next 2 were cyan, the next 3 were gray, the next 1 was green, the next 2 were indigo, the next 1 was ivory, the next 1 was khaki, the next 5 were maroon, the next 3 were orange, the next 1 was pink, the next 1 was purple, the next 1 was red, the next 2 were silver, the next 3 were turquoise, the next 2 were violet, the next 1 was yellow. Then, my friend took any item with a smell of rose, chocolate or vinegar in my collection and threw it away. Then, my uncle threw away any Brazilian item in my new collection, but gave me two of the same item, one Iranian and one Turkish (all other properties the same). Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my new collection had: 3 beige item(s), 1 blue item(s), 1 brown item(s), 1 crimson item(s), 1 cyan item(s), 3 gray item(s), 1 green item(s), 6 indigo item(s), 1 khaki item(s), 3 maroon item(s), 3 orange item(s), 2 pink item(s), 1 red item(s), 2 silver item(s), 2 turquoise item(s), 2 violet item(s). Then, for any item of color brown in my new collection, my mom gave me another one of the same item, but with a silver color, Japanese origin, extra-large size, leather smell, and made of concrete. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is crimson, or size is extra-extra-small, or material is ceramic, or smell is citrus fruits, or origin is Chinese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "0cd960e00e43e43f3dd6714dc4545106414f7eae4d662067dfbd8713e5169d76",
    "id": "bbeh:object_properties:031",
    "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had an extra-small Japanese watch made of concrete with a smell of chocolate, an extra-small Iranian screwdriver made of steel with a smell of vanilla, a large Mexican shoe made of plastic with a smell of freshly cut grass, an extra-extra-large Mexican dog made of ceramic with a smell of lavender, an extra-extra-small Mexican trash can made of steel with a smell of gasoline, a large French trash can made of glass with a smell of baking bread, an extra-large Brazilian jar made of ceramic with a smell of citrus fruits, an extra-extra-small Afghan marker made of concrete with a smell of citrus fruits, an extra-extra-small German speaker made of ceramic with a smell of vinegar, an extra-large French fork made of plastic with a smell of rose, a large French bag made of concrete with a smell of chocolate, a small Portuguese screwdriver made of concrete with a smell of rose, a small German shoe made of concrete with a smell of burning wood, an extra-extra-large Japanese plate made of steel with a smell of vinegar, an extra-small French bowl made of concrete with a smell of freshly cut grass, an extra-extra-large Mexican candle made of plastic with a smell of gasoline, an extra-extra-large Iranian calculator made of glass with a smell of coffee, an extra-large Japanese plier made of concrete with a smell of lavender, a small Turkish ruler made of glass with a smell of citrus fruits, a small Japanese trash can made of glass with a smell of lavender, a medium Chinese calculator made of ceramic with a smell of vinegar, a medium Spanish plate made of concrete with a smell of chocolate, a large Brazilian shirt made of ceramic with a smell of vinegar, an extra-extra-large Chinese fork made of plastic with a smell of lavender, an extra-extra-large Mexican fork made of concrete with a smell of gasoline, an extra-extra-large Turkish necklace made of ceramic with a smell of burning wood, a medium Italian hat made of glass with a smell of baking bread, an extra-extra-small Japanese fork made of glass with a smell of burning wood, an extra-extra-small French chair made of concrete with a smell of lavender, an extra-extra-small Chinese candle made of concrete with a smell of citrus fruits, a medium Mexican wrench made of concrete with a smell of vanilla, a large Italian vase made of glass with a smell of vanilla, a small French hammer made of ceramic with a smell of vanilla, a medium Polish umbrella made of ceramic with a smell of vinegar, an extra-small Japanese bowl made of ceramic with a smell of leather, an extra-extra-large Italian bicycle made of ceramic with a smell of coconut, an extra-large Russian sunglasses made of glass with a smell of vinegar, a medium Canadian earring made of plastic with a smell of burning wood, a medium Iranian wallet made of glass with a smell of coffee, a small Brazilian plier made of concrete with a smell of coffee, an extra-extra-large Russian pencil made of plastic with a smell of leather, a large Japanese wallet made of glass with a smell of vanilla, an extra-small Brazilian canvas made of steel with a smell of freshly cut grass, an extra-large Iranian bag made of steel with a smell of burning wood, an extra-extra-small Russian plier made of plastic with a smell of lavender. The color of the items was respectively as follows: the first 2 were beige, the next 4 were black, the next 3 were brown, the next 1 was crimson, the next 2 were cyan, the next 3 were gold, the next 2 were gray, the next 1 was indigo, the next 7 were ivory, the next 1 was khaki, the next 2 were magenta, the next 1 was maroon, the next 2 were orange, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 3 were silver, the next 1 was teal, the next 2 were turquoise, the next 3 were violet, the next 1 was yellow. Then, for any item with a smell of freshly cut grass, garlic, or coffee in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 3 item(s) with chocolate smell, 5 item(s) with vanilla smell, 3 item(s) with freshly cut grass smell, 6 item(s) with lavender smell, 3 item(s) with gasoline smell, 2 item(s) with baking bread smell, 12 item(s) with vinegar smell, 4 item(s) with citrus fruits smell, 2 item(s) with rose smell, 5 item(s) with burning wood smell, 3 item(s) with coffee smell, 2 item(s) with leather smell, 1 item(s) with coconut smell. Then, my uncle threw away any Japanese item in my new collection, but gave me two of the same item, one Turkish and one French (all other properties the same). Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color yellow. After this, my new collection had: 9 extra-small item(s), 8 large item(s), 11 extra-extra-large item(s), 8 extra-extra-small item(s), 14 extra-large item(s), 8 small item(s), 8 medium item(s). Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 3 beige item(s), 4 black item(s), 18 blue item(s), 3 brown item(s), 1 crimson item(s), 2 cyan item(s), 5 gold item(s), 1 gray item(s), 2 indigo item(s), 5 ivory item(s), 1 khaki item(s), 1 maroon item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 2 red item(s), 2 silver item(s), 3 turquoise item(s), 3 violet item(s), 6 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: color is not ivory, size is not extra-large, material is not steel, smell is not gasoline, and origin is not Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "family": "0b882230667eec8f883613e42c32acbfd784957fe7c36e600c6cb15ec7280b5d",
    "id": "bbeh:object_properties:032",
    "request": "I had a collection of 47 weird items that went through a few changes. Initially, I had a medium Iranian pencil made of glass with a smell of vinegar, an extra-small British candle made of glass with a smell of coconut, an extra-large Turkish cup made of concrete with a smell of pine needles, an extra-extra-small Mexican bag made of ceramic with a smell of freshly cut grass, an extra-extra-large Afghan fork made of steel with a smell of chocolate, an extra-extra-small Italian dog made of concrete with a smell of garlic, a medium Italian pencil made of ceramic with a smell of vinegar, a large Italian marker made of concrete with a smell of vinegar, a large British guitar made of ceramic with a smell of lavender, an extra-small Canadian bag made of steel with a smell of vinegar, a small Brazilian umbrella made of concrete with a smell of wet dog, an extra-small Portuguese sunglasses made of steel with a smell of pine needles, an extra-large Iranian hat made of concrete with a smell of garlic, an extra-large German brush made of concrete with a smell of burning wood, a medium Spanish bowl made of ceramic with a smell of citrus fruits, an extra-small Portuguese wrench made of steel with a smell of lavender, an extra-small Mexican bag made of plastic with a smell of lavender, a medium Russian lamp made of steel with a smell of popcorn, an extra-small Chinese bed made of concrete with a smell of vinegar, a medium Brazilian book made of steel with a smell of chocolate, a small French canvas made of glass with a smell of garlic, an extra-extra-small Italian plier made of plastic with a smell of lavender, a medium Italian trash can made of concrete with a smell of wet dog, an extra-small Brazilian flower pot made of glass with a smell of coconut, an extra-extra-large Mexican screwdriver made of plastic with a smell of coffee, a medium Afghan screwdriver made of glass with a smell of wet dog, an extra-extra-large Mexican fork made of plastic with a smell of vanilla, a small Canadian house made of concrete with a smell of leather, an extra-large Russian hammer made of steel with a smell of vinegar, an extra-small Iranian cup made of glass with a smell of wet dog, an extra-extra-large Italian saw made of glass with a smell of wet dog, a large Chinese umbrella made of concrete with a smell of gasoline, a medium German ring made of steel with a smell of popcorn, a small Afghan candle made of ceramic with a smell of chocolate, an extra-extra-small Chinese spoon made of glass with a smell of lavender, an extra-small Brazilian flower pot made of ceramic with a smell of burning wood, a small Turkish scissors made of concrete with a smell of burning wood, a large British bird made of plastic with a smell of pine needles, a small Iranian car made of plastic with a smell of pine needles, a small Brazilian calculator made of ceramic with a smell of citrus fruits, an extra-small Polish speaker made of steel with a smell of coffee, an extra-small Chinese pen made of ceramic with a smell of pine needles, an extra-extra-small Turkish clock made of plastic with a smell of vinegar, an extra-extra-large Mexican earring made of plastic with a smell of rose, a large Mexican key made of ceramic with a smell of popcorn, an extra-extra-small Iranian wrench made of glass with a smell of vinegar, a medium Mexican bicycle made of concrete with a smell of rose. The color of the items was respectively as follows: the first 2 were beige, the next 2 were blue, the next 2 were brown, the next 2 were crimson, the next 3 were cyan, the next 3 were gold, the next 2 were gray, the next 1 was indigo, the next 1 was ivory, the next 1 was magenta, the next 5 were orange, the next 1 was pink, the next 3 were purple, the next 3 were red, the next 3 were silver, the next 2 were teal, the next 2 were turquoise, the next 5 were violet, the next 3 were white, the next 1 was yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item with a smell of freshly cut grass, pine needles, or gasoline in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 1 item(s) with freshly cut grass smell, 5 item(s) with vanilla smell, 3 item(s) with garlic smell, 5 item(s) with vinegar smell, 4 item(s) with lavender smell, 4 item(s) with pine needles smell, 2 item(s) with burning wood smell, 2 item(s) with citrus fruits smell, 3 item(s) with popcorn smell, 1 item(s) with chocolate smell, 2 item(s) with wet dog smell, 1 item(s) with leather smell, 1 item(s) with coffee smell, 2 item(s) with rose smell. Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to rose. After this, my new collection had: 8 beige item(s), 1 brown item(s), 1 crimson item(s), 1 cyan item(s), 4 gold item(s), 1 indigo item(s), 1 ivory item(s), 1 magenta item(s), 4 orange item(s), 1 purple item(s), 2 red item(s), 1 silver item(s), 1 teal item(s), 3 turquoise item(s), 4 violet item(s), 1 white item(s), 1 yellow item(s). Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color silver. After this, my new collection had: 6 extra-extra-small item(s), 5 large item(s), 6 medium item(s), 8 extra-extra-large item(s), 8 extra-small item(s), 3 extra-large item(s), 6 small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: either color is yellow, or size is medium, or material is ceramic, or smell is rose, or origin is Mexican? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "family": "85b761edff8b670299143d80bdc605422b77b82b849394d75cea622e38db7cbb",
    "id": "bbeh:object_properties:043",
    "request": "I had a collection of 50 weird items that went through a few changes. Initially, I had an extra-extra-small Mexican banana made of ceramic with a smell of garlic, an extra-large Portuguese necklace made of plastic with a smell of coffee, an extra-small Iranian bicycle made of glass with a smell of garlic, a medium Polish saw made of glass with a smell of vanilla, an extra-small French hammer made of ceramic with a smell of coconut, a small Italian ring made of ceramic with a smell of leather, an extra-small Afghan hat made of steel with a smell of vanilla, an extra-extra-large Turkish canvas made of steel with a smell of burning wood, an extra-small Afghan house made of plastic with a smell of popcorn, a small Afghan bag made of concrete with a smell of rose, a small Iranian ruler made of plastic with a smell of gasoline, an extra-small Polish sunglasses made of ceramic with a smell of vanilla, an extra-extra-large Canadian piano made of steel with a smell of pine needles, an extra-extra-large Polish hat made of glass with a smell of garlic, an extra-extra-large Chinese spoon made of ceramic with a smell of popcorn, an extra-large German bed made of plastic with a smell of vinegar, an extra-extra-small Spanish car made of ceramic with a smell of leather, a medium Italian scissors made of ceramic with a smell of freshly cut grass, an extra-small Portuguese ruler made of steel with a smell of baking bread, a small Mexican sofa made of concrete with a smell of pine needles, an extra-extra-large Japanese guitar made of glass with a smell of coffee, an extra-large French earring made of steel with a smell of popcorn, an extra-extra-small Chinese box made of ceramic with a smell of wet dog, a large Polish trash can made of concrete with a smell of lavender, a small French vase made of concrete with a smell of chocolate, a medium Japanese hammer made of ceramic with a smell of garlic, an extra-small French earring made of steel with a smell of gasoline, a medium French key made of concrete with a smell of vinegar, an extra-large German dog made of concrete with a smell of popcorn, a large Brazilian wrench made of glass with a smell of vanilla, an extra-extra-small Italian flower pot made of steel with a smell of vanilla, an extra-small Afghan pencil made of concrete with a smell of burning wood, an extra-extra-large Chinese spoon made of plastic with a smell of lavender, an extra-extra-large French lamp made of ceramic with a smell of rose, a small Brazilian cup made of concrete with a smell of gasoline, an extra-extra-small French canvas made of plastic with a smell of baking bread, an extra-large Canadian brush made of plastic with a smell of popcorn, an extra-small Chinese candle made of concrete with a smell of burning wood, an extra-extra-small Portuguese banana made of glass with a smell of leather, a medium Mexican ruler made of ceramic with a smell of rose, a large British dog made of steel with a smell of freshly cut grass, an extra-extra-large German dog made of plastic with a smell of chocolate, an extra-small Russian spoon made of concrete with a smell of vinegar, a medium Canadian banana made of glass with a smell of popcorn, an extra-extra-large Turkish house made of concrete with a smell of wet dog, an extra-small French pencil made of plastic with a smell of pine needles, an extra-large Iranian flower pot made of concrete with a smell of baking bread, an extra-extra-large Japanese chair made of glass with a smell of lavender, a small British wallet made of ceramic with a smell of coconut, a small Portuguese bird made of plastic with a smell of vinegar. The color of the items was respectively as follows: the first 3 were beige, the next 4 were black, the next 1 was blue, the next 2 were brown, the next 2 were cyan, the next 1 was gold, the next 2 were gray, the next 1 was indigo, the next 4 were ivory, the next 3 were khaki, the next 4 were magenta, the next 2 were maroon, the next 2 were orange, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 2 were silver, the next 4 were teal, the next 3 were turquoise, the next 3 were violet, the next 3 were white. Then, my brother replaced any item of size medium in my collection with an exact copy but with one specific size (different from medium) and another exact copy but with color gold. After this, my collection had: 6 extra-extra-small item(s), 6 extra-large item(s), 11 extra-small item(s), 9 large item(s), 8 small item(s), 10 extra-extra-large item(s), 6 medium item(s). Then, for any item of color brown in my new collection, my mom gave me another one of the same item, but with a gray color, British origin, extra-small size, baking bread smell, and made of steel. Then, my uncle threw away any Spanish item in my new collection, but gave me two of the same item, one British and one Mexican (all other properties the same). Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to burning wood. After this, my new collection had: 3 beige item(s), 4 black item(s), 1 blue item(s), 1 brown item(s), 13 crimson item(s), 2 cyan item(s), 6 gold item(s), 4 gray item(s), 1 indigo item(s), 4 ivory item(s), 3 khaki item(s), 2 magenta item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 2 silver item(s), 3 teal item(s), 2 turquoise item(s), 1 violet item(s), 3 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: color is not white, size is not small, material is not ceramic, smell is not leather, and origin is not Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
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    "family": "71caa21fb5a0880e53c6bd53537b4e5b8adc87c27d478c4593a23f3b8200bf02",
    "id": "bbeh:object_properties:046",
    "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had a large Chinese plate made of plastic with a smell of coconut, an extra-large Italian sofa made of plastic with a smell of pine needles, an extra-extra-small Spanish pen made of ceramic with a smell of gasoline, a medium Mexican house made of ceramic with a smell of coconut, a medium French bag made of steel with a smell of popcorn, an extra-large Polish sofa made of concrete with a smell of lavender, an extra-large Mexican box made of ceramic with a smell of freshly cut grass, an extra-small Russian bed made of steel with a smell of citrus fruits, an extra-extra-small Russian bicycle made of steel with a smell of garlic, a small British plier made of plastic with a smell of coffee, a medium Turkish ball made of steel with a smell of freshly cut grass, an extra-small Chinese calculator made of ceramic with a smell of burning wood, an extra-extra-large Afghan bowl made of steel with a smell of coffee, a small Russian spoon made of ceramic with a smell of popcorn, a large Polish lamp made of plastic with a smell of coffee, an extra-extra-large Portuguese shoe made of plastic with a smell of rose, a large Turkish sofa made of plastic with a smell of rose, an extra-extra-small Portuguese key made of steel with a smell of popcorn, a large Polish umbrella made of steel with a smell of vanilla, a large Brazilian guitar made of steel with a smell of citrus fruits, a small Portuguese camera made of ceramic with a smell of chocolate, a small Japanese house made of glass with a smell of citrus fruits, an extra-extra-small Afghan camera made of steel with a smell of wet dog, a large Brazilian ruler made of steel with a smell of wet dog, an extra-extra-small Brazilian drill made of ceramic with a smell of vanilla, an extra-extra-small British piano made of plastic with a smell of vinegar, a large Mexican saw made of steel with a smell of lavender, an extra-extra-small Spanish candle made of plastic with a smell of coffee, an extra-large Chinese ball made of steel with a smell of vinegar, an extra-small Brazilian wallet made of steel with a smell of pine needles, an extra-extra-small Russian camera made of plastic with a smell of baking bread, an extra-extra-large Mexican sunglasses made of plastic with a smell of freshly cut grass, an extra-small Japanese canvas made of steel with a smell of rose, a small French ball made of steel with a smell of burning wood, an extra-extra-small Brazilian hat made of concrete with a smell of wet dog, a medium Afghan camera made of ceramic with a smell of gasoline, an extra-extra-small Mexican pencil made of plastic with a smell of leather, an extra-small Turkish ruler made of steel with a smell of burning wood, an extra-extra-large Chinese chair made of plastic with a smell of leather, an extra-extra-small British pen made of steel with a smell of citrus fruits, a large Brazilian dog made of concrete with a smell of garlic, a large Portuguese bag made of steel with a smell of lavender, an extra-extra-large Polish flower pot made of ceramic with a smell of baking bread. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 5 were blue, the next 3 were brown, the next 3 were crimson, the next 1 was cyan, the next 1 was gray, the next 1 was green, the next 2 were indigo, the next 2 were ivory, the next 1 was khaki, the next 3 were magenta, the next 4 were maroon, the next 1 was orange, the next 2 were purple, the next 3 were red, the next 2 were silver, the next 3 were turquoise, the next 1 was violet, the next 2 were yellow. Then, my brother replaced any item of size extra-extra-large in my collection with an exact copy but with one specific size (different from extra-extra-large) and another exact copy but with color ivory. After this, my collection had: 9 large item(s), 4 extra-large item(s), 16 extra-extra-small item(s), 4 medium item(s), 5 extra-small item(s), 5 small item(s), 5 extra-extra-large item(s). Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vinegar (all other properties the same). After this, my new collection had: 8 item(s) made of plastic, 17 item(s) made of glass, 7 item(s) made of ceramic, 14 item(s) made of steel, 2 item(s) made of concrete. Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a green color, Mexican origin, extra-large size, pine needles smell, and made of steel. Then, for any item with a smell of lavender, coconut, or garlic in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with coconut smell, 23 item(s) with vinegar smell, 5 item(s) with pine needles smell, 2 item(s) with popcorn smell, 3 item(s) with lavender smell, 3 item(s) with freshly cut grass smell, 3 item(s) with citrus fruits smell, 3 item(s) with coffee smell, 3 item(s) with burning wood smell, 3 item(s) with rose smell, 1 item(s) with vanilla smell, 1 item(s) with chocolate smell, 1 item(s) with leather smell, 1 item(s) with baking bread smell, 1 item(s) with wet dog smell, 1 item(s) with gasoline smell, 1 item(s) with garlic smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the large items in my collection.  In my current collection, how many items have the following attributes: either color is magenta, or size is large, or material is plastic, or smell is lavender, or origin is Afghan? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "dataset": "bbeh",
    "family": "351d5663014189a27da2635846c65a0747a61f1ca5d6a58d4d8f5b99a3b41bee",
    "id": "bbeh:object_properties:056",
    "request": "I had a collection of 42 weird items that went through a few changes. Initially, I had an extra-extra-small Spanish bicycle made of plastic with a smell of freshly cut grass, an extra-extra-small British speaker made of plastic with a smell of coconut, an extra-extra-large Polish jar made of plastic with a smell of baking bread, a large Afghan drill made of ceramic with a smell of rose, a large Italian shirt made of concrete with a smell of vanilla, a large Afghan flower pot made of plastic with a smell of popcorn, a large Russian drill made of plastic with a smell of gasoline, an extra-large Iranian key made of glass with a smell of freshly cut grass, a medium Japanese cup made of glass with a smell of coffee, an extra-extra-large Iranian lamp made of glass with a smell of lavender, an extra-extra-small Afghan hammer made of steel with a smell of wet dog, an extra-extra-small British dog made of plastic with a smell of rose, a small Turkish chair made of concrete with a smell of chocolate, a medium Spanish plate made of steel with a smell of chocolate, an extra-extra-small Chinese house made of plastic with a smell of vinegar, a large Russian banana made of concrete with a smell of coffee, a medium British piano made of concrete with a smell of popcorn, an extra-extra-large British earring made of concrete with a smell of citrus fruits, an extra-extra-small French key made of plastic with a smell of garlic, an extra-extra-small Afghan camera made of glass with a smell of popcorn, a large Japanese calculator made of plastic with a smell of popcorn, an extra-extra-small Turkish lamp made of steel with a smell of leather, a small Portuguese screwdriver made of ceramic with a smell of gasoline, a small Spanish speaker made of plastic with a smell of rose, a small British drill made of ceramic with a smell of citrus fruits, a medium Japanese piano made of glass with a smell of citrus fruits, an extra-large Chinese camera made of ceramic with a smell of vanilla, a small Afghan hammer made of plastic with a smell of rose, a small Russian vase made of concrete with a smell of citrus fruits, an extra-small French vase made of ceramic with a smell of coffee, an extra-extra-small Turkish lamp made of steel with a smell of leather, an extra-extra-small Mexican box made of ceramic with a smell of coffee, a large Polish jar made of glass with a smell of freshly cut grass, a medium Afghan ball made of ceramic with a smell of pine needles, an extra-extra-small Japanese wrench made of plastic with a smell of garlic, a medium French sofa made of steel with a smell of garlic, a large Polish apple made of steel with a smell of leather, an extra-extra-large German earring made of concrete with a smell of coffee, an extra-extra-large Portuguese jar made of ceramic with a smell of gasoline, a medium Iranian umbrella made of steel with a smell of rose, an extra-small Afghan chair made of ceramic with a smell of coconut, a medium Turkish camera made of glass with a smell of freshly cut grass. The color of the items was respectively as follows: the first 3 were beige, the next 2 were blue, the next 3 were brown, the next 2 were crimson, the next 1 was cyan, the next 3 were gold, the next 1 was gray, the next 3 were indigo, the next 3 were ivory, the next 2 were khaki, the next 1 was magenta, the next 1 was maroon, the next 3 were orange, the next 1 was pink, the next 5 were purple, the next 2 were silver, the next 1 was teal, the next 3 were turquoise, the next 1 was violet, the next 1 was white. Then, for any item of color violet in my collection, my mom gave me another one of the same item, but with a crimson color, Italian origin, extra-extra-large size, chocolate smell, and made of ceramic. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color black. After this, my new collection had: 11 extra-extra-small item(s), 6 extra-extra-large item(s), 8 medium item(s), 8 large item(s), 2 extra-large item(s), 14 small item(s), 2 extra-small item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 beige item(s), 8 black item(s), 2 blue item(s), 3 brown item(s), 3 crimson item(s), 1 cyan item(s), 3 gold item(s), 1 gray item(s), 3 indigo item(s), 3 ivory item(s), 1 magenta item(s), 1 maroon item(s), 3 orange item(s), 1 pink item(s), 5 purple item(s), 2 silver item(s), 1 teal item(s), 3 turquoise item(s), 1 violet item(s), 1 white item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is violet, or size is extra-extra-large, or material is steel, or smell is coconut, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "family": "e12de7eb475a9fb28e3e410ba3d17954305f87a7ed93ad5f09878e32172a2272",
    "id": "bbeh:object_properties:058",
    "request": "I had a collection of 32 weird items that went through a few changes. Initially, I had an extra-extra-small Turkish screwdriver made of concrete with a smell of freshly cut grass, an extra-extra-large Turkish plier made of ceramic with a smell of pine needles, a medium Japanese car made of plastic with a smell of freshly cut grass, an extra-small German house made of glass with a smell of pine needles, a large Mexican car made of ceramic with a smell of pine needles, a small Afghan dog made of steel with a smell of coconut, a large Japanese watch made of concrete with a smell of wet dog, an extra-extra-large Mexican knife made of plastic with a smell of popcorn, an extra-extra-large Canadian spoon made of glass with a smell of popcorn, an extra-large British marker made of ceramic with a smell of gasoline, a medium Iranian bag made of plastic with a smell of popcorn, a large German scissors made of plastic with a smell of vinegar, a large Turkish hammer made of plastic with a smell of garlic, an extra-large Spanish box made of concrete with a smell of coconut, an extra-extra-large Afghan clock made of plastic with a smell of chocolate, a small Russian bird made of glass with a smell of popcorn, a small Polish banana made of steel with a smell of leather, an extra-large Brazilian key made of steel with a smell of coconut, a medium Russian apple made of ceramic with a smell of baking bread, a small Afghan saw made of plastic with a smell of vanilla, an extra-large German knife made of ceramic with a smell of coffee, an extra-extra-large German bowl made of steel with a smell of freshly cut grass, a medium Afghan watch made of plastic with a smell of garlic, an extra-large Iranian drill made of steel with a smell of burning wood, a medium Italian spoon made of steel with a smell of vinegar, a medium Polish bag made of concrete with a smell of garlic, an extra-small Mexican house made of concrete with a smell of freshly cut grass, an extra-large Italian shoe made of concrete with a smell of freshly cut grass, an extra-small Mexican candle made of glass with a smell of burning wood, an extra-large Spanish flower pot made of plastic with a smell of popcorn, a large Italian banana made of steel with a smell of lavender, an extra-small Japanese calculator made of steel with a smell of wet dog. The color of the items was respectively as follows: the first 5 were beige, the next 1 was black, the next 1 was blue, the next 1 was cyan, the next 1 was gray, the next 2 were indigo, the next 3 were ivory, the next 1 was maroon, the next 1 was orange, the next 3 were purple, the next 3 were red, the next 3 were silver, the next 1 was teal, the next 1 was turquoise, the next 2 were violet, the next 2 were white, the next 1 was yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 5 beige item(s), 1 black item(s), 1 blue item(s), 1 cyan item(s), 1 gray item(s), 2 indigo item(s), 3 ivory item(s), 1 maroon item(s), 1 orange item(s), 3 purple item(s), 3 red item(s), 1 teal item(s), 1 turquoise item(s), 2 violet item(s), 2 white item(s), 1 yellow item(s). Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my new collection had: 4 beige item(s), 1 black item(s), 6 blue item(s), 1 cyan item(s), 1 gray item(s), 2 indigo item(s), 2 ivory item(s), 1 maroon item(s), 1 orange item(s), 3 purple item(s), 3 red item(s), 1 violet item(s), 2 white item(s), 1 yellow item(s). Then, for any item of color orange in my new collection, my mom gave me another one of the same item, but with a blue color, Turkish origin, medium size, vanilla smell, and made of ceramic. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the large items in my collection.  In my current collection, how many items have the following attributes: either color is gray, or size is large, or material is glass, or smell is coffee, or origin is Mexican? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "c3fa2100e8c11e97994e88327ab231a4495c55db2977538f8c8f94306c4794db",
    "id": "bbeh:object_properties:064",
    "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had a medium Canadian chair made of concrete with a smell of vanilla, a medium Turkish bed made of plastic with a smell of coffee, an extra-extra-small British box made of steel with a smell of coconut, an extra-large Afghan bed made of concrete with a smell of popcorn, an extra-extra-large British sofa made of glass with a smell of vanilla, a medium Afghan necklace made of plastic with a smell of pine needles, a small Brazilian key made of plastic with a smell of vanilla, an extra-large German ruler made of plastic with a smell of citrus fruits, a large Portuguese vase made of concrete with a smell of coconut, an extra-extra-large Japanese house made of concrete with a smell of lavender, a large Russian piano made of ceramic with a smell of burning wood, an extra-extra-small Spanish plier made of plastic with a smell of garlic, an extra-extra-large Portuguese jar made of concrete with a smell of freshly cut grass, an extra-small Polish jar made of glass with a smell of coconut, a small Turkish wallet made of glass with a smell of garlic, an extra-extra-large Turkish umbrella made of steel with a smell of gasoline, a medium Iranian camera made of steel with a smell of vanilla, an extra-large Canadian jar made of glass with a smell of vinegar, an extra-large German trash can made of glass with a smell of chocolate, an extra-small Mexican book made of steel with a smell of garlic, an extra-small Portuguese apple made of glass with a smell of coconut, a small Chinese book made of ceramic with a smell of gasoline, an extra-large Afghan plier made of concrete with a smell of pine needles, a small Japanese ball made of plastic with a smell of rose, an extra-extra-small Japanese car made of steel with a smell of wet dog, an extra-large Brazilian sunglasses made of concrete with a smell of rose, a large Mexican hat made of steel with a smell of vinegar, a small Portuguese wrench made of steel with a smell of baking bread, a large Mexican screwdriver made of concrete with a smell of gasoline, a small French bicycle made of concrete with a smell of wet dog, an extra-large German sofa made of glass with a smell of vanilla, a small Italian knife made of ceramic with a smell of baking bread, an extra-large Japanese fork made of plastic with a smell of citrus fruits, an extra-extra-small Chinese bed made of concrete with a smell of rose, an extra-extra-small Brazilian candle made of plastic with a smell of burning wood, a medium Portuguese wallet made of glass with a smell of pine needles, an extra-extra-small Brazilian vase made of ceramic with a smell of wet dog, an extra-extra-large Spanish candle made of plastic with a smell of vinegar, a large Afghan table made of steel with a smell of pine needles, an extra-extra-large Mexican shirt made of concrete with a smell of baking bread, an extra-extra-small Turkish wallet made of steel with a smell of coconut, a medium Japanese lamp made of plastic with a smell of gasoline, a small Spanish brush made of plastic with a smell of coffee. The color of the items was respectively as follows: the first 3 were beige, the next 3 were black, the next 1 was brown, the next 1 was crimson, the next 4 were cyan, the next 1 was gold, the next 1 was gray, the next 1 was green, the next 2 were indigo, the next 1 was ivory, the next 4 were khaki, the next 2 were magenta, the next 2 were maroon, the next 2 were orange, the next 2 were pink, the next 2 were purple, the next 1 was red, the next 3 were silver, the next 1 was teal, the next 1 was turquoise, the next 1 was violet, the next 1 was white, the next 3 were yellow. Then, my friend took any item with a smell of chocolate, burning wood or leather in my collection and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 beige item(s), 1 brown item(s), 1 crimson item(s), 1 cyan item(s), 1 gold item(s), 1 gray item(s), 1 green item(s), 2 indigo item(s), 1 ivory item(s), 1 khaki item(s), 1 magenta item(s), 2 maroon item(s), 2 orange item(s), 2 pink item(s), 1 purple item(s), 1 red item(s), 2 silver item(s), 1 turquoise item(s), 1 violet item(s), 1 white item(s), 3 yellow item(s). Then, for any item of color pink in my new collection, my mom gave me another one of the same item, but with a magenta color, Turkish origin, small size, gasoline smell, and made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is red, or size is extra-large, or material is ceramic, or smell is rose, or origin is Mexican? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "f10ae5c7db36c2f77dad6d303e2316c2989ec59040afae63406f605846b4e4f2",
    "id": "bbeh:object_properties:071",
    "request": "I had a collection of 47 weird items that went through a few changes. Initially, I had an extra-small Portuguese pencil made of steel with a smell of chocolate, an extra-small Brazilian wrench made of glass with a smell of freshly cut grass, an extra-extra-large British car made of glass with a smell of gasoline, a large Polish marker made of plastic with a smell of leather, a medium Spanish house made of plastic with a smell of burning wood, a medium Afghan bottle made of plastic with a smell of vanilla, a medium Chinese marker made of steel with a smell of pine needles, a small Afghan flower pot made of glass with a smell of chocolate, an extra-extra-small Iranian house made of steel with a smell of burning wood, an extra-extra-small Iranian speaker made of glass with a smell of vinegar, a medium Russian plate made of plastic with a smell of popcorn, an extra-extra-large Portuguese marker made of steel with a smell of leather, a medium British table made of concrete with a smell of garlic, an extra-small French lamp made of plastic with a smell of freshly cut grass, an extra-small Japanese car made of ceramic with a smell of wet dog, an extra-extra-small Mexican piano made of ceramic with a smell of pine needles, an extra-extra-large Italian plier made of ceramic with a smell of pine needles, a small Iranian clock made of concrete with a smell of rose, a small Japanese spoon made of glass with a smell of citrus fruits, an extra-extra-small Afghan stapler made of plastic with a smell of rose, an extra-large French pencil made of plastic with a smell of citrus fruits, an extra-extra-large Brazilian flower pot made of ceramic with a smell of lavender, an extra-extra-small British plate made of glass with a smell of vinegar, an extra-extra-large Polish dog made of steel with a smell of coconut, a small Chinese cup made of ceramic with a smell of pine needles, a medium Russian scissors made of steel with a smell of citrus fruits, an extra-large Japanese sofa made of plastic with a smell of gasoline, a large French book made of ceramic with a smell of rose, a medium German necklace made of plastic with a smell of chocolate, a small Canadian clock made of concrete with a smell of pine needles, an extra-large French sofa made of ceramic with a smell of baking bread, an extra-large Chinese drill made of plastic with a smell of citrus fruits, a medium German lamp made of plastic with a smell of burning wood, an extra-extra-small Japanese apple made of glass with a smell of leather, an extra-extra-small Chinese hat made of concrete with a smell of citrus fruits, a medium Italian sofa made of ceramic with a smell of gasoline, a large Iranian plate made of concrete with a smell of chocolate, a medium British apple made of plastic with a smell of wet dog, an extra-large British knife made of ceramic with a smell of wet dog, a small Afghan wrench made of ceramic with a smell of popcorn, an extra-small Japanese plate made of glass with a smell of garlic, an extra-extra-small French stapler made of plastic with a smell of lavender, a medium Chinese sunglasses made of steel with a smell of garlic, an extra-extra-large Canadian earring made of steel with a smell of pine needles, an extra-extra-large Canadian dog made of ceramic with a smell of citrus fruits, a large Afghan fork made of glass with a smell of vinegar, a small Mexican pencil made of steel with a smell of coffee. The color of the items was respectively as follows: the first 2 were beige, the next 3 were black, the next 1 was cyan, the next 6 were gold, the next 2 were gray, the next 2 were green, the next 3 were indigo, the next 2 were khaki, the next 6 were magenta, the next 4 were maroon, the next 2 were orange, the next 3 were purple, the next 1 was red, the next 1 was turquoise, the next 4 were violet, the next 3 were white, the next 2 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 2 beige item(s), 3 black item(s), 1 cyan item(s), 6 gold item(s), 2 gray item(s), 2 green item(s), 3 indigo item(s), 2 khaki item(s), 6 magenta item(s), 4 maroon item(s), 2 orange item(s), 3 purple item(s), 1 red item(s), 1 turquoise item(s), 4 violet item(s), 3 white item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my friend took any item with a smell of popcorn, lavender or vinegar in my new collection and threw it away. Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a orange color, Canadian origin, medium size, chocolate smell, and made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: color is not red, size is not small, material is not glass, smell is not burning wood, and origin is not Afghan? If the exact number cannot be computed, the answer must be \"unknown\".",
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  },
  {
    "dataset": "bbeh",
    "family": "53d9a85cee738394ba8299930438d9a03a870d161b9e94e31cf4fadde1ea9463",
    "id": "bbeh:object_properties:083",
    "request": "I had a collection of 41 weird items that went through a few changes. Initially, I had an extra-extra-large German brush made of glass with a smell of pine needles, an extra-extra-large British saw made of glass with a smell of freshly cut grass, a medium Iranian car made of plastic with a smell of popcorn, an extra-large Brazilian table made of ceramic with a smell of citrus fruits, a large French scissors made of glass with a smell of coconut, an extra-extra-small Russian apple made of glass with a smell of gasoline, an extra-extra-large Canadian canvas made of plastic with a smell of lavender, a small Spanish scissors made of concrete with a smell of vanilla, a large British spoon made of steel with a smell of pine needles, an extra-large British shirt made of glass with a smell of gasoline, a large Turkish flower pot made of ceramic with a smell of baking bread, an extra-large Spanish scissors made of glass with a smell of vanilla, a large Brazilian necklace made of concrete with a smell of vinegar, a large Spanish house made of ceramic with a smell of baking bread, an extra-extra-large Iranian pencil made of ceramic with a smell of popcorn, an extra-large Chinese bottle made of glass with a smell of coffee, a large German guitar made of ceramic with a smell of garlic, an extra-extra-small German knife made of ceramic with a smell of rose, a medium Iranian hat made of plastic with a smell of freshly cut grass, a medium Canadian table made of ceramic with a smell of lavender, an extra-large Afghan camera made of concrete with a smell of leather, an extra-extra-large Canadian hat made of glass with a smell of pine needles, a small Turkish pen made of glass with a smell of gasoline, an extra-large French sunglasses made of concrete with a smell of garlic, an extra-large Turkish hammer made of glass with a smell of garlic, a small German brush made of concrete with a smell of pine needles, an extra-large Canadian canvas made of steel with a smell of coffee, a large Turkish apple made of concrete with a smell of pine needles, an extra-extra-large British marker made of steel with a smell of citrus fruits, an extra-small Polish scissors made of concrete with a smell of garlic, an extra-extra-small German bird made of steel with a smell of vinegar, a small Brazilian shoe made of concrete with a smell of leather, a medium Iranian wrench made of steel with a smell of freshly cut grass, an extra-extra-large Italian piano made of plastic with a smell of burning wood, a small Chinese sunglasses made of concrete with a smell of chocolate, a large Brazilian dog made of concrete with a smell of baking bread, an extra-extra-small French vase made of concrete with a smell of chocolate, an extra-extra-small Italian clock made of plastic with a smell of wet dog, a small Russian hat made of steel with a smell of citrus fruits, an extra-extra-small Russian bed made of glass with a smell of wet dog, a large Russian wallet made of steel with a smell of popcorn. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were brown, the next 1 was crimson, the next 1 was cyan, the next 3 were gold, the next 2 were gray, the next 1 was green, the next 3 were indigo, the next 1 was ivory, the next 1 was khaki, the next 2 were magenta, the next 2 were maroon, the next 2 were orange, the next 1 was pink, the next 3 were red, the next 1 was silver, the next 2 were teal, the next 3 were turquoise, the next 2 were violet, the next 3 were white, the next 2 were yellow. Then, my uncle threw away any Russian item in my collection, but gave me two of the same item, one German and one British (all other properties the same). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vinegar (all other properties the same). After this, my new collection had: 8 item(s) made of glass, 10 item(s) made of concrete, 4 item(s) made of steel, 5 item(s) made of ceramic, 2 item(s) made of plastic. Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my new collection had: 2 crimson item(s), 2 gold item(s), 2 gray item(s), 1 green item(s), 1 indigo item(s), 1 khaki item(s), 2 magenta item(s), 1 maroon item(s), 2 orange item(s), 4 pink item(s), 2 red item(s), 1 teal item(s), 2 turquoise item(s), 2 violet item(s), 2 white item(s), 2 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-large items in my collection.  In my current collection, how many items have the following attributes: color is not pink, size is not extra-extra-large, material is not concrete, smell is not garlic, and origin is not Chinese? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "99081a0129fa0d07fe12645734443112bab6fa679f530fed8d58ae6bcb98ee49",
    "id": "bbeh:object_properties:084",
    "request": "I had a collection of 30 weird items that went through a few changes. Initially, I had an extra-large Iranian pen made of plastic with a smell of baking bread, a small Turkish guitar made of glass with a smell of coffee, an extra-small Canadian bottle made of steel with a smell of citrus fruits, a large Iranian bird made of ceramic with a smell of wet dog, an extra-small Italian fork made of glass with a smell of citrus fruits, a small Mexican flower pot made of concrete with a smell of baking bread, a small Afghan drill made of steel with a smell of citrus fruits, an extra-large Afghan clock made of concrete with a smell of lavender, an extra-large French chair made of concrete with a smell of popcorn, a medium Turkish knife made of steel with a smell of garlic, an extra-small Turkish wallet made of plastic with a smell of vinegar, a small British sunglasses made of steel with a smell of garlic, an extra-large Polish screwdriver made of concrete with a smell of leather, a large British wallet made of concrete with a smell of vanilla, a medium Polish box made of concrete with a smell of chocolate, a medium Mexican marker made of plastic with a smell of burning wood, a large Mexican drill made of ceramic with a smell of vanilla, an extra-extra-large Afghan bicycle made of glass with a smell of burning wood, an extra-extra-small Japanese earring made of ceramic with a smell of lavender, an extra-extra-large Afghan bowl made of concrete with a smell of wet dog, an extra-large French bowl made of glass with a smell of lavender, an extra-extra-large Turkish hat made of ceramic with a smell of baking bread, a large German bed made of glass with a smell of vinegar, an extra-large French table made of concrete with a smell of leather, a small German drill made of plastic with a smell of pine needles, an extra-extra-large Russian shoe made of plastic with a smell of vanilla, an extra-extra-large Brazilian umbrella made of ceramic with a smell of coconut, a large Iranian dog made of plastic with a smell of burning wood, an extra-extra-small Brazilian apple made of plastic with a smell of lavender, a large Spanish drill made of glass with a smell of vinegar. The color of the items was respectively as follows: the first 4 were black, the next 3 were blue, the next 1 was brown, the next 2 were gold, the next 2 were gray, the next 3 were green, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 1 was orange, the next 1 was pink, the next 4 were red, the next 2 were teal, the next 1 was turquoise, the next 2 were violet, the next 1 was white. Then, my uncle threw away any Polish item in my collection, but gave me two of the same item, one Japanese and one French (all other properties the same). Then, for any item of color blue in my new collection, my mom gave me another one of the same item, but with a magenta color, Italian origin, extra-extra-small size, pine needles smell, and made of glass. Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of leather (all other properties the same). After this, my new collection had: 10 item(s) made of plastic, 9 item(s) made of glass, 3 item(s) made of steel, 5 item(s) made of ceramic, 8 item(s) made of concrete. Then, my friend took any item with a smell of rose, leather or chocolate in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is blue, or size is extra-extra-small, or material is glass, or smell is vanilla, or origin is Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "1a2b0df411a1096d26c0024d746b663c8737a8b4d7a61a5db591c573286fcd42",
    "id": "bbeh:object_properties:091",
    "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had a medium Iranian ball made of glass with a smell of wet dog, an extra-extra-large French ruler made of concrete with a smell of burning wood, a small Italian flower pot made of ceramic with a smell of popcorn, an extra-extra-large Russian banana made of steel with a smell of freshly cut grass, a small Canadian wallet made of plastic with a smell of lavender, a large Russian sunglasses made of concrete with a smell of pine needles, an extra-large Canadian pencil made of concrete with a smell of wet dog, a large French apple made of ceramic with a smell of chocolate, an extra-extra-large Russian house made of plastic with a smell of vinegar, an extra-extra-small Italian plier made of plastic with a smell of burning wood, a small Mexican dog made of plastic with a smell of chocolate, an extra-extra-small British candle made of glass with a smell of coffee, an extra-extra-small Iranian marker made of glass with a smell of gasoline, an extra-small Japanese marker made of concrete with a smell of lavender, an extra-extra-large Portuguese calculator made of plastic with a smell of leather, a small Canadian piano made of plastic with a smell of coconut, a large Mexican box made of glass with a smell of pine needles, an extra-extra-large Mexican wallet made of plastic with a smell of gasoline, an extra-large German dog made of steel with a smell of coconut, an extra-large Spanish bag made of steel with a smell of coconut, an extra-large Spanish car made of glass with a smell of garlic, a large French camera made of concrete with a smell of rose, an extra-extra-large French guitar made of steel with a smell of rose, a medium British ruler made of concrete with a smell of garlic, a large Canadian saw made of steel with a smell of coffee, an extra-large Portuguese banana made of plastic with a smell of freshly cut grass, an extra-extra-small Italian bed made of steel with a smell of citrus fruits, a small Spanish bed made of concrete with a smell of gasoline, an extra-extra-large Mexican necklace made of plastic with a smell of burning wood, a medium Italian bicycle made of steel with a smell of gasoline, a medium Russian umbrella made of plastic with a smell of vanilla, an extra-small French bed made of steel with a smell of freshly cut grass, an extra-extra-large French candle made of concrete with a smell of burning wood, a medium Brazilian wallet made of steel with a smell of rose, an extra-extra-small Spanish shirt made of steel with a smell of vanilla, a medium Polish scissors made of ceramic with a smell of coconut, a large Afghan camera made of glass with a smell of coconut. The color of the items was respectively as follows: the first 1 was blue, the next 1 was crimson, the next 3 were cyan, the next 1 was green, the next 1 was indigo, the next 2 were ivory, the next 3 were khaki, the next 4 were orange, the next 4 were pink, the next 3 were purple, the next 3 were red, the next 4 were silver, the next 3 were turquoise, the next 1 was violet, the next 2 were white, the next 1 was yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 1 blue item(s), 1 crimson item(s), 3 cyan item(s), 1 green item(s), 1 indigo item(s), 2 ivory item(s), 3 khaki item(s), 4 orange item(s), 3 purple item(s), 3 red item(s), 4 silver item(s), 3 turquoise item(s), 1 violet item(s), 2 white item(s), 1 yellow item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my uncle threw away any Portuguese item in my new collection, but gave me two of the same item, one Canadian and one Polish (all other properties the same). Then, for any item of color ivory in my new collection, my mom gave me another one of the same item, but with a green color, Canadian origin, extra-extra-small size, coffee smell, and made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: color is not purple, size is not medium, material is not ceramic, smell is not vinegar, and origin is not Iranian? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "4a632dc848c2a0ba70e46a0f9e4c7be899edd1afa8e173a83a62f974106f75fb",
    "id": "bbeh:object_properties:095",
    "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-small Afghan umbrella made of steel with a smell of baking bread, a small French canvas made of ceramic with a smell of vinegar, a medium Turkish ball made of glass with a smell of wet dog, an extra-small Afghan calculator made of ceramic with a smell of lavender, an extra-large Italian piano made of concrete with a smell of pine needles, an extra-small Mexican canvas made of plastic with a smell of citrus fruits, a large Canadian saw made of concrete with a smell of pine needles, an extra-small Portuguese plate made of glass with a smell of wet dog, a medium Japanese table made of concrete with a smell of gasoline, a large British stapler made of concrete with a smell of lavender, an extra-extra-large Turkish house made of plastic with a smell of burning wood, an extra-extra-small Portuguese car made of glass with a smell of baking bread, an extra-small Brazilian clock made of concrete with a smell of popcorn, an extra-extra-small Italian necklace made of ceramic with a smell of lavender, an extra-extra-small Polish box made of steel with a smell of garlic, an extra-small Iranian pencil made of steel with a smell of chocolate, an extra-extra-small British canvas made of plastic with a smell of vanilla, an extra-large Canadian shoe made of ceramic with a smell of wet dog, a large Turkish pen made of glass with a smell of lavender, a large Turkish pen made of steel with a smell of burning wood, an extra-large Canadian wrench made of plastic with a smell of garlic, an extra-extra-large Turkish chair made of ceramic with a smell of gasoline, an extra-extra-large Spanish car made of plastic with a smell of baking bread, an extra-extra-large German table made of ceramic with a smell of rose, an extra-large Iranian bag made of glass with a smell of pine needles, a medium Russian earring made of plastic with a smell of pine needles, an extra-large Chinese box made of concrete with a smell of lavender, an extra-small Spanish marker made of plastic with a smell of garlic, a large Polish key made of steel with a smell of garlic, an extra-small British clock made of steel with a smell of baking bread, an extra-small British sofa made of glass with a smell of vanilla, an extra-small Canadian bicycle made of ceramic with a smell of leather, an extra-extra-large Russian house made of plastic with a smell of vinegar, an extra-extra-small Russian flower pot made of concrete with a smell of baking bread, a large British knife made of ceramic with a smell of vinegar, an extra-small Canadian shoe made of glass with a smell of chocolate, a small Iranian chair made of concrete with a smell of leather, a large Russian bed made of steel with a smell of coconut, an extra-extra-large Italian dog made of steel with a smell of burning wood, a medium Russian sofa made of concrete with a smell of coconut, an extra-large Mexican bird made of ceramic with a smell of rose, an extra-large Italian trash can made of concrete with a smell of vanilla, an extra-large Portuguese pencil made of steel with a smell of chocolate. The color of the items was respectively as follows: the first 4 were black, the next 2 were blue, the next 3 were brown, the next 1 was crimson, the next 3 were cyan, the next 3 were gold, the next 3 were gray, the next 2 were indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was magenta, the next 2 were maroon, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 1 was silver, the next 1 was teal, the next 3 were turquoise, the next 3 were violet, the next 3 were white, the next 1 was yellow. Then, my friend took any item with a smell of citrus fruits, vanilla or popcorn in my collection and threw it away. Then, my uncle threw away any Chinese item in my new collection, but gave me two of the same item, one Mexican and one Italian (all other properties the same). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 4 black item(s), 1 blue item(s), 3 brown item(s), 1 crimson item(s), 2 cyan item(s), 3 gold item(s), 2 gray item(s), 2 indigo item(s), 1 ivory item(s), 2 khaki item(s), 1 magenta item(s), 3 maroon item(s), 2 orange item(s), 1 pink item(s), 1 teal item(s), 3 turquoise item(s), 3 violet item(s), 2 white item(s), 1 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-large items in my collection.  In my current collection, how many items have the following attributes: color is not pink, size is not extra-extra-large, material is not glass, smell is not garlic, and origin is not Polish? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "031724998d120274a4c91cc47aa0ec2fe36977ed2c15171405211329bf39737c",
    "id": "bbeh:object_properties:102",
    "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had an extra-extra-large Polish piano made of ceramic with a smell of leather, an extra-large Chinese brush made of glass with a smell of chocolate, an extra-extra-large Japanese bicycle made of plastic with a smell of vinegar, an extra-small Italian house made of ceramic with a smell of baking bread, an extra-small Chinese speaker made of glass with a smell of burning wood, an extra-extra-small Portuguese pen made of ceramic with a smell of chocolate, an extra-extra-large British car made of concrete with a smell of lavender, an extra-extra-large Portuguese umbrella made of glass with a smell of chocolate, an extra-extra-large Chinese marker made of ceramic with a smell of pine needles, a large German guitar made of glass with a smell of freshly cut grass, an extra-extra-small British box made of ceramic with a smell of citrus fruits, a small Mexican shirt made of glass with a smell of gasoline, an extra-extra-small Spanish pencil made of plastic with a smell of lavender, an extra-extra-small French pencil made of plastic with a smell of vinegar, an extra-extra-large French trash can made of concrete with a smell of burning wood, an extra-extra-small Italian table made of steel with a smell of garlic, an extra-extra-small British flower pot made of plastic with a smell of freshly cut grass, a small French knife made of steel with a smell of leather, a small Chinese wallet made of concrete with a smell of pine needles, an extra-extra-small Polish marker made of glass with a smell of citrus fruits, an extra-large Afghan banana made of ceramic with a smell of coconut, an extra-small Spanish lamp made of glass with a smell of wet dog, an extra-extra-small British canvas made of concrete with a smell of coconut, an extra-large Spanish necklace made of ceramic with a smell of baking bread, a large Afghan pencil made of steel with a smell of coconut, an extra-large German hammer made of concrete with a smell of burning wood, a small Spanish box made of ceramic with a smell of burning wood, an extra-extra-large British ball made of glass with a smell of burning wood, an extra-small German dog made of ceramic with a smell of freshly cut grass, an extra-small British house made of concrete with a smell of coffee, an extra-extra-small Spanish speaker made of glass with a smell of popcorn, a medium Chinese wallet made of concrete with a smell of freshly cut grass, an extra-extra-large Russian pen made of plastic with a smell of popcorn, a large Portuguese spoon made of plastic with a smell of baking bread, an extra-extra-large Russian dog made of ceramic with a smell of lavender, an extra-small Mexican pen made of steel with a smell of garlic, a large German guitar made of plastic with a smell of citrus fruits, a small Polish umbrella made of plastic with a smell of citrus fruits. The color of the items was respectively as follows: the first 2 were blue, the next 2 were brown, the next 2 were crimson, the next 3 were cyan, the next 2 were gold, the next 2 were gray, the next 1 was green, the next 1 was indigo, the next 3 were ivory, the next 1 was khaki, the next 1 was magenta, the next 3 were maroon, the next 2 were orange, the next 3 were red, the next 3 were silver, the next 1 was teal, the next 3 were violet, the next 2 were white, the next 1 was yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 crimson item(s), 2 cyan item(s), 1 gold item(s), 1 gray item(s), 3 ivory item(s), 1 maroon item(s), 1 orange item(s), 2 red item(s), 3 silver item(s), 3 violet item(s), 1 white item(s), 1 yellow item(s). Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to pine needles. After this, my new collection had: 1 crimson item(s), 1 cyan item(s), 1 gold item(s), 3 ivory item(s), 7 orange item(s), 1 red item(s), 2 silver item(s), 3 violet item(s), 1 white item(s), 1 yellow item(s). Then, my friend took any item with a smell of pine needles, citrus fruits or garlic in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is ivory, or size is extra-large, or material is concrete, or smell is baking bread, or origin is Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "069c987bebc722125f757315b1baa99258fc1f3843db2195879e5b47484370a2",
    "id": "bbeh:object_properties:106",
    "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had a medium Portuguese bottle made of steel with a smell of vanilla, a large Portuguese wallet made of glass with a smell of citrus fruits, an extra-small French ruler made of concrete with a smell of baking bread, a large German bottle made of glass with a smell of citrus fruits, a small German car made of plastic with a smell of chocolate, an extra-extra-small Spanish calculator made of steel with a smell of garlic, an extra-large Mexican clock made of concrete with a smell of vanilla, a large Iranian speaker made of glass with a smell of gasoline, an extra-extra-large Afghan earring made of steel with a smell of lavender, a small Iranian wrench made of steel with a smell of freshly cut grass, a medium French candle made of steel with a smell of garlic, a small Afghan sofa made of plastic with a smell of gasoline, an extra-extra-small Brazilian clock made of glass with a smell of leather, an extra-large Canadian bed made of steel with a smell of wet dog, an extra-large Spanish stapler made of steel with a smell of wet dog, an extra-extra-large Canadian lamp made of concrete with a smell of citrus fruits, an extra-extra-large Iranian watch made of steel with a smell of freshly cut grass, an extra-large British pencil made of glass with a smell of pine needles, an extra-extra-large Turkish marker made of steel with a smell of freshly cut grass, an extra-small Chinese plier made of glass with a smell of gasoline, a medium Mexican ruler made of steel with a smell of lavender, an extra-extra-large Afghan saw made of steel with a smell of garlic, a large French watch made of plastic with a smell of citrus fruits, an extra-small Brazilian hammer made of ceramic with a smell of coffee, a large Canadian earring made of plastic with a smell of popcorn, a large Italian key made of ceramic with a smell of coffee, an extra-small Canadian plier made of concrete with a smell of lavender, an extra-large Russian bottle made of glass with a smell of wet dog, a large Turkish earring made of plastic with a smell of lavender, an extra-small Polish canvas made of glass with a smell of gasoline, an extra-extra-small Iranian watch made of ceramic with a smell of citrus fruits, an extra-extra-small Brazilian umbrella made of plastic with a smell of garlic, an extra-large British calculator made of plastic with a smell of coconut, an extra-large Japanese key made of concrete with a smell of garlic, a large Afghan lamp made of concrete with a smell of popcorn, an extra-extra-small Afghan candle made of glass with a smell of freshly cut grass, an extra-extra-small Turkish trash can made of plastic with a smell of rose, a small Iranian screwdriver made of ceramic with a smell of coffee. The color of the items was respectively as follows: the first 2 were black, the next 4 were blue, the next 2 were brown, the next 1 was cyan, the next 3 were gold, the next 1 was gray, the next 3 were green, the next 2 were indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was maroon, the next 1 was orange, the next 2 were pink, the next 1 was purple, the next 4 were red, the next 3 were silver, the next 2 were turquoise, the next 1 was white, the next 2 were yellow. Then, for any item made of plastic in my collection, my sister changed their color to her favorite color and changed their smell to vanilla. After this, my collection had: 2 black item(s), 3 blue item(s), 2 brown item(s), 1 cyan item(s), 2 gold item(s), 1 gray item(s), 3 green item(s), 2 indigo item(s), 9 ivory item(s), 2 khaki item(s), 1 maroon item(s), 1 pink item(s), 1 purple item(s), 3 red item(s), 1 silver item(s), 2 turquoise item(s), 1 white item(s), 1 yellow item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 black item(s), 3 blue item(s), 2 brown item(s), 1 cyan item(s), 2 gold item(s), 1 gray item(s), 3 green item(s), 2 indigo item(s), 9 ivory item(s), 2 khaki item(s), 1 maroon item(s), 1 purple item(s), 3 red item(s), 1 silver item(s), 2 turquoise item(s), 1 white item(s), 1 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is silver, or size is extra-extra-large, or material is ceramic, or smell is wet dog, or origin is Turkish? If the exact number cannot be computed, the answer must be \"unknown\".",
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  },
  {
    "dataset": "bbeh",
    "family": "f38dfdeb812f6969cb5e8ac4371af942b018edfa7ae66872349bf31e8a9d1ef6",
    "id": "bbeh:object_properties:110",
    "request": "I had a collection of 50 weird items that went through a few changes. Initially, I had an extra-extra-small Canadian flower pot made of concrete with a smell of rose, a small Japanese cup made of steel with a smell of coffee, a medium Japanese bird made of concrete with a smell of garlic, an extra-small Canadian sofa made of plastic with a smell of freshly cut grass, a small Japanese lamp made of concrete with a smell of chocolate, a small French hat made of ceramic with a smell of leather, a small German hat made of glass with a smell of lavender, an extra-extra-large Chinese vase made of concrete with a smell of freshly cut grass, a medium Iranian sunglasses made of ceramic with a smell of pine needles, a small Canadian apple made of steel with a smell of vanilla, an extra-small British brush made of plastic with a smell of leather, an extra-small German flower pot made of concrete with a smell of pine needles, an extra-large Chinese banana made of concrete with a smell of rose, an extra-small Afghan speaker made of steel with a smell of popcorn, an extra-extra-small Mexican scissors made of steel with a smell of popcorn, an extra-extra-small Spanish bowl made of glass with a smell of burning wood, a large Polish chair made of plastic with a smell of vinegar, an extra-small Mexican candle made of plastic with a smell of coconut, a medium French guitar made of concrete with a smell of freshly cut grass, a small Iranian hammer made of steel with a smell of coconut, a medium Portuguese candle made of plastic with a smell of garlic, a large Polish plier made of steel with a smell of vinegar, an extra-extra-small Chinese lamp made of steel with a smell of baking bread, an extra-small Spanish spoon made of glass with a smell of chocolate, an extra-extra-large Polish saw made of steel with a smell of vanilla, a small Japanese bird made of plastic with a smell of freshly cut grass, an extra-small Iranian speaker made of glass with a smell of gasoline, a small Russian shirt made of concrete with a smell of coconut, an extra-large Portuguese saw made of steel with a smell of popcorn, an extra-extra-large Italian canvas made of plastic with a smell of wet dog, a small French bag made of ceramic with a smell of vinegar, an extra-extra-large Russian candle made of plastic with a smell of gasoline, a large Mexican stapler made of steel with a smell of coconut, an extra-large Iranian clock made of steel with a smell of chocolate, an extra-small Italian bird made of concrete with a smell of burning wood, an extra-small Japanese candle made of plastic with a smell of gasoline, a large Polish brush made of ceramic with a smell of coconut, an extra-extra-small Brazilian speaker made of concrete with a smell of coconut, an extra-small Portuguese shoe made of ceramic with a smell of baking bread, an extra-extra-large British book made of plastic with a smell of coconut, an extra-small British plier made of steel with a smell of citrus fruits, a small Italian flower pot made of plastic with a smell of lavender, an extra-extra-small Iranian apple made of plastic with a smell of popcorn, a small Turkish scissors made of steel with a smell of popcorn, an extra-extra-small Brazilian shirt made of glass with a smell of gasoline, an extra-large Chinese shoe made of glass with a smell of rose, an extra-extra-small Afghan chair made of concrete with a smell of gasoline, a large German clock made of steel with a smell of garlic, an extra-extra-large German plier made of concrete with a smell of lavender, an extra-extra-large Mexican cup made of concrete with a smell of vinegar. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were blue, the next 1 was brown, the next 3 were crimson, the next 2 were cyan, the next 3 were gold, the next 3 were gray, the next 4 were green, the next 2 were ivory, the next 4 were khaki, the next 4 were magenta, the next 3 were maroon, the next 1 was orange, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 3 were silver, the next 1 was teal, the next 5 were violet, the next 1 was white, the next 1 was yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to lavender. After this, my new collection had: 6 brown item(s), 3 crimson item(s), 1 cyan item(s), 2 gold item(s), 2 gray item(s), 2 ivory item(s), 3 khaki item(s), 3 magenta item(s), 2 maroon item(s), 1 orange item(s), 1 pink item(s), 1 purple item(s), 1 red item(s), 1 silver item(s), 5 violet item(s), 1 white item(s), 1 yellow item(s). Then, for any item with a smell of gasoline, coconut, or baking bread in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 8 item(s) with lavender smell, 1 item(s) with freshly cut grass smell, 2 item(s) with pine needles smell, 2 item(s) with vanilla smell, 4 item(s) with popcorn smell, 2 item(s) with burning wood smell, 3 item(s) with vinegar smell, 2 item(s) with baking bread smell, 10 item(s) with garlic smell, 2 item(s) with chocolate smell, 3 item(s) with gasoline smell, 4 item(s) with coconut smell, 1 item(s) with citrus fruits smell, 1 item(s) with rose smell. Then, for any item of color violet in my new collection, my mom gave me another one of the same item, but with a orange color, Portuguese origin, small size, coconut smell, and made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is purple, or size is extra-extra-large, or material is glass, or smell is pine needles, or origin is Turkish? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "34689c29ac3b4967ac852c715f189fec5470c0bd55d93220f030548985dc9af9",
    "id": "bbeh:object_properties:111",
    "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had a medium Italian scissors made of steel with a smell of coffee, a large Polish saw made of ceramic with a smell of lavender, a large Afghan apple made of glass with a smell of burning wood, a medium Italian ball made of glass with a smell of burning wood, an extra-extra-large Iranian plate made of ceramic with a smell of popcorn, a small Afghan bowl made of ceramic with a smell of wet dog, an extra-extra-small Italian table made of concrete with a smell of garlic, an extra-extra-small Mexican guitar made of plastic with a smell of baking bread, a medium Italian fork made of ceramic with a smell of vanilla, an extra-extra-small Chinese watch made of steel with a smell of leather, an extra-extra-large Afghan plate made of plastic with a smell of baking bread, a medium British stapler made of concrete with a smell of popcorn, an extra-extra-large Portuguese pen made of concrete with a smell of coconut, a small Spanish brush made of steel with a smell of lavender, an extra-large Portuguese drill made of plastic with a smell of lavender, an extra-extra-small Mexican car made of glass with a smell of vanilla, a medium Russian saw made of steel with a smell of citrus fruits, a large Spanish watch made of steel with a smell of citrus fruits, a small Mexican marker made of concrete with a smell of coffee, a large Polish hat made of concrete with a smell of gasoline, an extra-extra-large Spanish fork made of steel with a smell of garlic, an extra-large Spanish pencil made of glass with a smell of rose, a large Italian ball made of plastic with a smell of gasoline, an extra-extra-large Turkish jar made of steel with a smell of popcorn, an extra-extra-small Canadian book made of plastic with a smell of wet dog, an extra-large Canadian hat made of plastic with a smell of freshly cut grass, an extra-extra-small Afghan flower pot made of steel with a smell of vanilla, a large Iranian earring made of concrete with a smell of wet dog, a large Iranian house made of glass with a smell of freshly cut grass, a large Spanish key made of steel with a smell of pine needles, an extra-extra-large Japanese plier made of steel with a smell of vanilla, a small Afghan umbrella made of glass with a smell of wet dog, a medium British bird made of ceramic with a smell of rose. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 1 was blue, the next 2 were brown, the next 4 were crimson, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 2 were indigo, the next 3 were ivory, the next 2 were purple, the next 5 were red, the next 1 was silver, the next 1 was turquoise, the next 2 were violet, the next 2 were white, the next 2 were yellow. Then, for any item of color blue in my collection, my mom gave me another one of the same item, but with a green color, Portuguese origin, small size, wet dog smell, and made of ceramic. Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of burning wood (all other properties the same). After this, my new collection had: 14 item(s) made of steel, 6 item(s) made of ceramic, 5 item(s) made of glass, 4 item(s) made of plastic, 5 item(s) made of concrete. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 1 black item(s), 1 blue item(s), 2 brown item(s), 4 crimson item(s), 2 gold item(s), 1 gray item(s), 2 green item(s), 2 indigo item(s), 3 ivory item(s), 2 purple item(s), 5 red item(s), 1 silver item(s), 1 turquoise item(s), 2 violet item(s), 2 white item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: color is not turquoise, size is not medium, material is not glass, smell is not coffee, and origin is not Iranian? If the exact number cannot be computed, the answer must be \"unknown\".",
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  },
  {
    "dataset": "bbeh",
    "family": "5bc3684fe45bf40691a65485bb7f1f6bf8d37d8a9cbf3fd3c8e5512961be794c",
    "id": "bbeh:object_properties:112",
    "request": "I had a collection of 30 weird items that went through a few changes. Initially, I had a small Mexican flower pot made of concrete with a smell of freshly cut grass, a small Russian flower pot made of steel with a smell of burning wood, a medium Afghan cup made of concrete with a smell of gasoline, a medium Iranian speaker made of steel with a smell of rose, an extra-large German earring made of concrete with a smell of burning wood, an extra-large Portuguese vase made of concrete with a smell of gasoline, an extra-extra-large Polish canvas made of concrete with a smell of coconut, an extra-extra-large Afghan sofa made of concrete with a smell of leather, an extra-large Mexican table made of glass with a smell of rose, a medium Spanish cup made of ceramic with a smell of vanilla, an extra-extra-small Turkish bowl made of concrete with a smell of leather, an extra-small Japanese dog made of concrete with a smell of wet dog, an extra-small Italian flower pot made of plastic with a smell of pine needles, an extra-small Portuguese trash can made of ceramic with a smell of vanilla, an extra-large Iranian marker made of plastic with a smell of gasoline, a large Chinese house made of concrete with a smell of burning wood, an extra-extra-small Portuguese chair made of steel with a smell of leather, an extra-small Japanese bowl made of plastic with a smell of pine needles, an extra-large Russian sofa made of ceramic with a smell of rose, an extra-extra-large Japanese clock made of glass with a smell of wet dog, a small Polish pen made of glass with a smell of popcorn, a small Brazilian key made of ceramic with a smell of baking bread, an extra-extra-small British shirt made of concrete with a smell of freshly cut grass, an extra-small Turkish drill made of steel with a smell of coffee, an extra-extra-large Turkish dog made of steel with a smell of chocolate, an extra-large Japanese piano made of glass with a smell of vanilla, an extra-large German canvas made of ceramic with a smell of coffee, an extra-small Russian bag made of glass with a smell of coffee, an extra-extra-small Chinese clock made of plastic with a smell of coffee, a small Polish brush made of glass with a smell of chocolate. The color of the items was respectively as follows: the first 1 was beige, the next 2 were blue, the next 1 was brown, the next 1 was crimson, the next 2 were gray, the next 3 were green, the next 1 was ivory, the next 1 was magenta, the next 3 were maroon, the next 3 were orange, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 3 were teal, the next 1 was turquoise, the next 3 were white, the next 1 was yellow. Then, my uncle threw away any Mexican item in my collection, but gave me two of the same item, one Afghan and one Polish (all other properties the same). Then, for any item with a smell of chocolate, popcorn, or gasoline in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 3 item(s) with freshly cut grass smell, 3 item(s) with burning wood smell, 3 item(s) with gasoline smell, 7 item(s) with baking bread smell, 4 item(s) with rose smell, 1 item(s) with coconut smell, 3 item(s) with leather smell, 3 item(s) with vanilla smell, 2 item(s) with wet dog smell, 2 item(s) with pine needles smell, 1 item(s) with popcorn smell, 4 item(s) with coffee smell, 2 item(s) with chocolate smell. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 beige item(s), 3 blue item(s), 1 brown item(s), 1 crimson item(s), 4 green item(s), 1 ivory item(s), 1 magenta item(s), 4 maroon item(s), 3 orange item(s), 2 pink item(s), 2 purple item(s), 1 red item(s), 4 teal item(s), 1 turquoise item(s), 3 white item(s), 2 yellow item(s). Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of wet dog (all other properties the same). After this, my new collection had: 8 item(s) made of concrete, 9 item(s) made of steel, 9 item(s) made of glass, 5 item(s) made of plastic, 4 item(s) made of ceramic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is red, or size is extra-large, or material is glass, or smell is gasoline, or origin is Japanese? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "task": "object_properties"
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  {
    "dataset": "bbeh",
    "family": "1345fb4338d35544fb0ed080942ab03acaa0e12f4f4d2fa2b513c0b778e94565",
    "id": "bbeh:object_properties:116",
    "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had a large Canadian bed made of steel with a smell of lavender, a small Brazilian plier made of ceramic with a smell of freshly cut grass, an extra-extra-large Japanese apple made of ceramic with a smell of wet dog, an extra-extra-small Japanese calculator made of steel with a smell of chocolate, an extra-extra-small Polish pen made of concrete with a smell of baking bread, a large Afghan plate made of ceramic with a smell of freshly cut grass, a small Afghan box made of glass with a smell of popcorn, an extra-large British knife made of ceramic with a smell of coconut, an extra-extra-large Mexican flower pot made of ceramic with a smell of popcorn, a medium Mexican shirt made of steel with a smell of burning wood, a small French stapler made of glass with a smell of burning wood, an extra-extra-small German brush made of plastic with a smell of vinegar, a large Chinese box made of ceramic with a smell of leather, a large Japanese book made of steel with a smell of baking bread, an extra-extra-small Spanish cup made of steel with a smell of rose, an extra-extra-small Portuguese wrench made of concrete with a smell of gasoline, an extra-large Mexican drill made of glass with a smell of popcorn, a medium Mexican flower pot made of glass with a smell of citrus fruits, an extra-extra-small Chinese apple made of plastic with a smell of pine needles, a large Portuguese cup made of glass with a smell of wet dog, a small Portuguese stapler made of steel with a smell of popcorn, an extra-extra-small Brazilian car made of plastic with a smell of vinegar, a large Italian ball made of ceramic with a smell of popcorn, a small Afghan scissors made of ceramic with a smell of gasoline, an extra-extra-small German car made of plastic with a smell of lavender, a medium Afghan candle made of plastic with a smell of wet dog, an extra-extra-large Polish piano made of ceramic with a smell of burning wood, an extra-extra-large Japanese plate made of ceramic with a smell of rose, a medium Chinese car made of steel with a smell of citrus fruits, an extra-large Brazilian watch made of steel with a smell of garlic, a large Mexican guitar made of steel with a smell of chocolate. The color of the items was respectively as follows: the first 2 were beige, the next 1 was black, the next 1 was blue, the next 1 was crimson, the next 2 were cyan, the next 3 were gold, the next 2 were gray, the next 3 were green, the next 2 were indigo, the next 3 were ivory, the next 1 was khaki, the next 2 were orange, the next 2 were pink, the next 2 were red, the next 2 were teal, the next 1 was violet, the next 1 was white. Then, for any item with a smell of freshly cut grass, burning wood, or vinegar in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 2 item(s) with lavender smell, 2 item(s) with freshly cut grass smell, 8 item(s) with leather smell, 3 item(s) with wet dog smell, 2 item(s) with chocolate smell, 2 item(s) with baking bread smell, 5 item(s) with popcorn smell, 1 item(s) with coconut smell, 3 item(s) with burning wood smell, 2 item(s) with vinegar smell, 2 item(s) with rose smell, 2 item(s) with gasoline smell, 2 item(s) with citrus fruits smell, 1 item(s) with pine needles smell, 1 item(s) with garlic smell. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 3 beige item(s), 1 black item(s), 1 blue item(s), 1 crimson item(s), 2 cyan item(s), 4 gold item(s), 2 gray item(s), 3 green item(s), 1 indigo item(s), 1 ivory item(s), 7 khaki item(s), 3 orange item(s), 2 pink item(s), 3 red item(s), 2 teal item(s), 1 violet item(s), 1 white item(s). Then, for each item of size large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of burning wood (all other properties the same). After this, my new collection had: 15 item(s) made of plastic, 9 item(s) made of ceramic, 7 item(s) made of steel, 2 item(s) made of concrete, 5 item(s) made of glass. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the large items in my collection.  In my current collection, how many items have the following attributes: either color is cyan, or size is large, or material is plastic, or smell is coconut, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
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    "family": "22b048d0015baf38dd513ccf0be1dd02e20d50878db0ddf7670cf5a5c8f48699",
    "id": "bbeh:object_properties:121",
    "request": "I had a collection of 36 weird items that went through a few changes. Initially, I had an extra-extra-large Polish trash can made of ceramic with a smell of freshly cut grass, an extra-extra-large Iranian apple made of glass with a smell of citrus fruits, an extra-extra-large Russian calculator made of concrete with a smell of wet dog, an extra-large Iranian vase made of ceramic with a smell of coffee, a medium Chinese scissors made of steel with a smell of vinegar, an extra-large Polish key made of ceramic with a smell of burning wood, a small Turkish knife made of concrete with a smell of burning wood, a large Chinese canvas made of steel with a smell of pine needles, a large Chinese stapler made of plastic with a smell of baking bread, a small Portuguese bicycle made of concrete with a smell of leather, an extra-extra-small Canadian scissors made of plastic with a smell of popcorn, a small German necklace made of concrete with a smell of baking bread, an extra-extra-large Portuguese banana made of steel with a smell of lavender, an extra-extra-small Afghan clock made of ceramic with a smell of pine needles, a medium British speaker made of steel with a smell of gasoline, a small Italian sofa made of steel with a smell of gasoline, an extra-extra-large Afghan dog made of glass with a smell of freshly cut grass, an extra-large Brazilian hammer made of plastic with a smell of coconut, a large Turkish camera made of steel with a smell of vinegar, an extra-extra-small Russian saw made of concrete with a smell of leather, a large German plier made of ceramic with a smell of pine needles, a small Chinese plier made of ceramic with a smell of burning wood, an extra-small Japanese trash can made of plastic with a smell of leather, a medium Russian spoon made of plastic with a smell of gasoline, an extra-extra-large Brazilian drill made of steel with a smell of leather, an extra-extra-small Turkish earring made of steel with a smell of garlic, an extra-extra-large Italian screwdriver made of plastic with a smell of burning wood, a small Spanish necklace made of glass with a smell of popcorn, an extra-small Spanish table made of glass with a smell of gasoline, an extra-small Russian umbrella made of concrete with a smell of burning wood, a small Iranian trash can made of steel with a smell of leather, a small Portuguese bed made of glass with a smell of vanilla, a small British box made of glass with a smell of coffee, a medium Canadian book made of steel with a smell of lavender, a large German bicycle made of ceramic with a smell of popcorn, a small Iranian screwdriver made of concrete with a smell of freshly cut grass. The color of the items was respectively as follows: the first 5 were beige, the next 2 were blue, the next 1 was brown, the next 2 were gray, the next 1 was green, the next 2 were indigo, the next 2 were ivory, the next 2 were khaki, the next 2 were magenta, the next 3 were maroon, the next 2 were orange, the next 1 was pink, the next 1 was silver, the next 2 were teal, the next 4 were turquoise, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, my brother replaced any item of size large in my collection with an exact copy but with one specific size (different from large) and another exact copy but with color gray. After this, my collection had: 12 extra-extra-large item(s), 3 extra-large item(s), 4 medium item(s), 10 small item(s), 5 large item(s), 4 extra-extra-small item(s), 3 extra-small item(s). Then, my friend took any item with a smell of pine needles, burning wood or chocolate in my new collection and threw it away. Then, for any item with a smell of lavender, freshly cut grass, or gasoline in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 3 item(s) with freshly cut grass smell, 1 item(s) with citrus fruits smell, 1 item(s) with wet dog smell, 2 item(s) with coffee smell, 3 item(s) with vinegar smell, 10 item(s) with coconut smell, 3 item(s) with baking bread smell, 5 item(s) with leather smell, 4 item(s) with popcorn smell, 2 item(s) with lavender smell, 4 item(s) with gasoline smell, 1 item(s) with garlic smell, 1 item(s) with vanilla smell. Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my new collection had: 4 item(s) made of ceramic, 8 item(s) made of glass, 6 item(s) made of concrete, 16 item(s) made of steel, 6 item(s) made of plastic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: color is not pink, size is not medium, material is not ceramic, smell is not vanilla, and origin is not Japanese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "87b8bcc8a125f093d00c46a2a249ce9870806c66e5dadcb38816a3cff8f32905",
    "id": "bbeh:object_properties:133",
    "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had a small Brazilian hammer made of ceramic with a smell of coffee, a medium Portuguese candle made of steel with a smell of vinegar, a small Mexican umbrella made of ceramic with a smell of popcorn, an extra-small Portuguese piano made of glass with a smell of coconut, a medium Mexican box made of glass with a smell of chocolate, an extra-large Russian speaker made of steel with a smell of wet dog, a small British house made of plastic with a smell of burning wood, a small Polish jar made of steel with a smell of pine needles, a small Russian car made of ceramic with a smell of pine needles, a medium Afghan key made of steel with a smell of citrus fruits, a large French hat made of plastic with a smell of coconut, an extra-small Turkish scissors made of steel with a smell of garlic, an extra-small Portuguese plier made of steel with a smell of coconut, a small British pencil made of glass with a smell of vinegar, a small Spanish bird made of concrete with a smell of vinegar, a small Italian camera made of glass with a smell of vanilla, an extra-extra-large French screwdriver made of glass with a smell of vanilla, an extra-large Brazilian banana made of steel with a smell of wet dog, an extra-extra-small Mexican speaker made of plastic with a smell of vinegar, an extra-small Chinese pencil made of concrete with a smell of freshly cut grass, an extra-large Russian book made of plastic with a smell of vinegar, an extra-extra-small Iranian wallet made of glass with a smell of pine needles, a small Polish camera made of steel with a smell of lavender, an extra-large Japanese calculator made of ceramic with a smell of vanilla, a large Brazilian jar made of plastic with a smell of coconut, a large Italian bed made of ceramic with a smell of rose, an extra-extra-small German stapler made of steel with a smell of vinegar, an extra-extra-small Chinese screwdriver made of glass with a smell of vinegar, an extra-extra-large Canadian calculator made of concrete with a smell of chocolate, a medium Spanish clock made of ceramic with a smell of coffee, an extra-extra-large Polish watch made of ceramic with a smell of pine needles, a large British box made of concrete with a smell of baking bread, a large Italian screwdriver made of plastic with a smell of coconut, a medium Polish piano made of steel with a smell of chocolate, an extra-extra-large German bird made of steel with a smell of garlic, a large Mexican jar made of plastic with a smell of freshly cut grass, an extra-small Brazilian apple made of steel with a smell of gasoline, a small Afghan earring made of steel with a smell of coconut, an extra-extra-small Russian jar made of steel with a smell of burning wood, an extra-extra-small Italian canvas made of concrete with a smell of coffee, an extra-extra-large British earring made of plastic with a smell of gasoline, a small Russian bowl made of concrete with a smell of freshly cut grass, an extra-small Brazilian marker made of plastic with a smell of coffee. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 1 was blue, the next 1 was brown, the next 2 were crimson, the next 1 was cyan, the next 1 was gold, the next 2 were gray, the next 2 were green, the next 1 was indigo, the next 2 were khaki, the next 6 were magenta, the next 1 was maroon, the next 3 were pink, the next 4 were purple, the next 2 were red, the next 3 were silver, the next 2 were teal, the next 3 were violet, the next 1 was white, the next 1 was yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 2 beige item(s), 2 black item(s), 1 blue item(s), 1 brown item(s), 2 crimson item(s), 1 cyan item(s), 1 gold item(s), 2 green item(s), 1 indigo item(s), 2 khaki item(s), 6 magenta item(s), 1 maroon item(s), 3 pink item(s), 4 purple item(s), 2 red item(s), 3 silver item(s), 2 teal item(s), 3 violet item(s), 1 white item(s), 1 yellow item(s). Then, for any item with a smell of garlic, chocolate, or citrus fruits in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with coffee smell, 7 item(s) with vinegar smell, 1 item(s) with popcorn smell, 5 item(s) with coconut smell, 3 item(s) with chocolate smell, 9 item(s) with pine needles smell, 2 item(s) with wet dog smell, 2 item(s) with burning wood smell, 1 item(s) with citrus fruits smell, 3 item(s) with vanilla smell, 3 item(s) with freshly cut grass smell, 1 item(s) with lavender smell, 1 item(s) with rose smell, 1 item(s) with baking bread smell, 1 item(s) with garlic smell, 2 item(s) with gasoline smell. Then, my friend took any item with a smell of pine needles, gasoline or lavender in my new collection and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: color is not white, size is not small, material is not ceramic, smell is not vinegar, and origin is not Mexican? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "89906c8e14767524626a7c05b924257e0514dedf81af746ad8e7081f66a9795f",
    "id": "bbeh:object_properties:136",
    "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had a medium Japanese table made of ceramic with a smell of coffee, an extra-large Mexican saw made of steel with a smell of chocolate, a small Portuguese banana made of glass with a smell of leather, an extra-extra-large British spoon made of plastic with a smell of freshly cut grass, a large Portuguese bed made of concrete with a smell of chocolate, a large Portuguese lamp made of concrete with a smell of burning wood, a medium Italian guitar made of ceramic with a smell of rose, a medium French scissors made of plastic with a smell of chocolate, a small Japanese house made of concrete with a smell of chocolate, an extra-small Italian canvas made of concrete with a smell of wet dog, an extra-extra-large Canadian guitar made of concrete with a smell of coffee, an extra-extra-large Portuguese bicycle made of steel with a smell of garlic, an extra-large Afghan trash can made of glass with a smell of gasoline, a small Portuguese knife made of steel with a smell of rose, a medium Spanish trash can made of glass with a smell of garlic, an extra-small French banana made of plastic with a smell of pine needles, a small Italian umbrella made of concrete with a smell of coffee, a small Portuguese earring made of concrete with a smell of popcorn, an extra-large Russian watch made of glass with a smell of vanilla, an extra-large Chinese fork made of concrete with a smell of gasoline, an extra-large Turkish ring made of glass with a smell of coconut, an extra-small Russian ring made of concrete with a smell of pine needles, a large Iranian ring made of steel with a smell of garlic, an extra-small Polish piano made of steel with a smell of rose, an extra-large Afghan brush made of plastic with a smell of popcorn, a medium Russian wallet made of steel with a smell of leather, a small British clock made of steel with a smell of vinegar, an extra-extra-large Chinese marker made of glass with a smell of vinegar, a small Afghan clock made of steel with a smell of chocolate, an extra-extra-small Iranian brush made of plastic with a smell of freshly cut grass, an extra-large French knife made of glass with a smell of freshly cut grass, an extra-large Chinese ball made of ceramic with a smell of garlic, an extra-extra-small Brazilian ring made of ceramic with a smell of gasoline, a medium Chinese calculator made of glass with a smell of rose, an extra-small British ring made of plastic with a smell of pine needles, a small Chinese ring made of steel with a smell of coconut, an extra-small Russian ring made of concrete with a smell of baking bread, a small German earring made of steel with a smell of chocolate, an extra-extra-large Japanese clock made of glass with a smell of citrus fruits, a medium Portuguese dog made of concrete with a smell of coffee, a small Russian speaker made of ceramic with a smell of vanilla, a medium Canadian necklace made of concrete with a smell of coffee, a small French sofa made of glass with a smell of vinegar, an extra-large Chinese knife made of glass with a smell of pine needles, an extra-small Russian car made of plastic with a smell of pine needles. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 3 were blue, the next 1 was brown, the next 3 were crimson, the next 2 were gold, the next 2 were gray, the next 1 was green, the next 1 was indigo, the next 4 were ivory, the next 3 were khaki, the next 2 were magenta, the next 1 was maroon, the next 2 were orange, the next 2 were purple, the next 1 was silver, the next 1 was teal, the next 5 were turquoise, the next 2 were violet, the next 5 were white, the next 1 was yellow. Then, for any item with a smell of burning wood, wet dog, or lavender in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 5 item(s) with coffee smell, 6 item(s) with chocolate smell, 2 item(s) with leather smell, 5 item(s) with freshly cut grass smell, 1 item(s) with burning wood smell, 4 item(s) with rose smell, 1 item(s) with wet dog smell, 4 item(s) with garlic smell, 3 item(s) with gasoline smell, 5 item(s) with pine needles smell, 2 item(s) with popcorn smell, 2 item(s) with vanilla smell, 2 item(s) with coconut smell, 3 item(s) with vinegar smell, 1 item(s) with baking bread smell, 1 item(s) with citrus fruits smell. Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of chocolate (all other properties the same). After this, my new collection had: 4 item(s) made of ceramic, 10 item(s) made of steel, 13 item(s) made of glass, 6 item(s) made of plastic, 14 item(s) made of concrete. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my friend took any item with a smell of garlic, lavender or popcorn in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is silver, or size is extra-large, or material is plastic, or smell is citrus fruits, or origin is Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "d54c036cc03fbe0b60423c485557b8ae098aedd0b788219ce6f0349da75406fa",
    "id": "bbeh:object_properties:141",
    "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had a large Russian saw made of glass with a smell of rose, a medium Russian piano made of glass with a smell of wet dog, an extra-extra-large Mexican hammer made of plastic with a smell of vinegar, a small Japanese hat made of concrete with a smell of leather, a medium Russian umbrella made of plastic with a smell of popcorn, a medium Turkish canvas made of concrete with a smell of coconut, a medium Japanese bowl made of ceramic with a smell of gasoline, an extra-large Italian brush made of plastic with a smell of pine needles, an extra-extra-small German car made of plastic with a smell of gasoline, an extra-small Canadian stapler made of concrete with a smell of chocolate, an extra-extra-small Turkish spoon made of glass with a smell of pine needles, a small Russian ball made of plastic with a smell of garlic, an extra-extra-small French pen made of steel with a smell of pine needles, an extra-small Spanish vase made of glass with a smell of citrus fruits, an extra-extra-small Chinese ruler made of ceramic with a smell of coconut, a small Mexican ruler made of ceramic with a smell of coconut, a large Turkish ruler made of concrete with a smell of garlic, an extra-large Italian stapler made of ceramic with a smell of baking bread, an extra-extra-small Portuguese book made of concrete with a smell of coffee, a small Japanese scissors made of ceramic with a smell of rose, an extra-large Afghan umbrella made of steel with a smell of pine needles, a medium Italian ruler made of concrete with a smell of pine needles, an extra-small Italian brush made of plastic with a smell of garlic, a large French key made of ceramic with a smell of coconut, a small Brazilian book made of ceramic with a smell of citrus fruits, an extra-large Turkish wrench made of ceramic with a smell of vinegar, a large Mexican plate made of steel with a smell of baking bread, an extra-small Canadian chair made of ceramic with a smell of rose, an extra-small Canadian wallet made of ceramic with a smell of citrus fruits, a medium French hammer made of steel with a smell of pine needles, an extra-large Turkish bottle made of ceramic with a smell of rose, a small British screwdriver made of plastic with a smell of citrus fruits, a medium Iranian guitar made of steel with a smell of vinegar, a medium Brazilian flower pot made of plastic with a smell of coffee, an extra-extra-small Turkish hammer made of steel with a smell of gasoline. The color of the items was respectively as follows: the first 2 were beige, the next 3 were blue, the next 1 was brown, the next 2 were crimson, the next 2 were cyan, the next 2 were gold, the next 3 were gray, the next 1 was green, the next 1 was ivory, the next 1 was khaki, the next 2 were magenta, the next 3 were orange, the next 1 was pink, the next 1 was red, the next 3 were silver, the next 1 was teal, the next 3 were turquoise, the next 2 were violet, the next 1 was white. Then, for any item made of glass in my collection, my sister changed their color to her favorite color and changed their smell to baking bread. After this, my collection had: 3 blue item(s), 1 brown item(s), 2 crimson item(s), 2 cyan item(s), 1 gold item(s), 2 gray item(s), 1 green item(s), 1 ivory item(s), 1 khaki item(s), 2 magenta item(s), 3 orange item(s), 1 pink item(s), 5 red item(s), 3 silver item(s), 1 teal item(s), 3 turquoise item(s), 2 violet item(s), 1 white item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 blue item(s), 2 crimson item(s), 2 cyan item(s), 1 gold item(s), 2 gray item(s), 1 green item(s), 1 ivory item(s), 1 khaki item(s), 2 magenta item(s), 3 orange item(s), 1 pink item(s), 5 red item(s), 3 silver item(s), 1 teal item(s), 3 turquoise item(s), 2 violet item(s), 1 white item(s). Then, my uncle threw away any Mexican item in my new collection, but gave me two of the same item, one Japanese and one Brazilian (all other properties the same). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-small items in my collection.  In my current collection, how many items have the following attributes: color is not orange, size is not extra-small, material is not steel, smell is not citrus fruits, and origin is not Iranian? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "family": "e38271727d6380de5166e44fc8b1a07b8e610d0721c727edc71847e39ae8d75b",
    "id": "bbeh:object_properties:142",
    "request": "I had a collection of 32 weird items that went through a few changes. Initially, I had an extra-extra-large British wrench made of concrete with a smell of coffee, an extra-large German spoon made of steel with a smell of gasoline, an extra-extra-large Spanish spoon made of ceramic with a smell of coffee, a small Italian wrench made of steel with a smell of garlic, an extra-extra-small Polish ball made of ceramic with a smell of lavender, an extra-extra-small French spoon made of concrete with a smell of coconut, a small Mexican plate made of steel with a smell of vanilla, a small Afghan plate made of ceramic with a smell of leather, an extra-extra-large Spanish pen made of ceramic with a smell of chocolate, an extra-large Afghan pen made of steel with a smell of leather, an extra-small Polish bicycle made of steel with a smell of garlic, an extra-large Turkish shirt made of plastic with a smell of vanilla, an extra-large Brazilian apple made of plastic with a smell of chocolate, a medium Russian watch made of ceramic with a smell of gasoline, an extra-small French house made of ceramic with a smell of coffee, an extra-extra-small Russian clock made of ceramic with a smell of vanilla, a small Spanish flower pot made of steel with a smell of vinegar, an extra-extra-large Afghan earring made of concrete with a smell of burning wood, an extra-extra-small Iranian shirt made of concrete with a smell of gasoline, a large Russian canvas made of ceramic with a smell of baking bread, an extra-large Russian apple made of ceramic with a smell of leather, an extra-small Russian earring made of glass with a smell of pine needles, a small Portuguese fork made of plastic with a smell of coconut, an extra-extra-small Chinese speaker made of glass with a smell of coffee, a medium Polish screwdriver made of ceramic with a smell of leather, a small Turkish banana made of plastic with a smell of vinegar, an extra-small Iranian wallet made of concrete with a smell of vinegar, an extra-large Afghan camera made of ceramic with a smell of citrus fruits, an extra-extra-large French ruler made of plastic with a smell of rose, a large Turkish brush made of ceramic with a smell of coffee, an extra-extra-small French lamp made of plastic with a smell of coconut, an extra-extra-large Chinese plier made of plastic with a smell of lavender. The color of the items was respectively as follows: the first 2 were black, the next 2 were blue, the next 2 were brown, the next 2 were crimson, the next 1 was cyan, the next 3 were gold, the next 2 were gray, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was magenta, the next 1 was maroon, the next 1 was orange, the next 1 was purple, the next 2 were red, the next 1 was teal, the next 1 was turquoise, the next 1 was violet, the next 1 was white, the next 3 were yellow. Then, for each item of size extra-extra-small in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vinegar (all other properties the same). After this, my collection had: 3 item(s) made of concrete, 12 item(s) made of steel, 10 item(s) made of ceramic, 6 item(s) made of plastic, 1 item(s) made of glass. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color brown. After this, my new collection had: 4 extra-extra-small item(s), 4 small item(s), 4 extra-extra-large item(s), 4 extra-large item(s), 3 extra-small item(s), 2 medium item(s), 5 large item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 4 brown item(s), 2 crimson item(s), 1 cyan item(s), 2 gray item(s), 1 green item(s), 1 indigo item(s), 1 ivory item(s), 2 khaki item(s), 1 maroon item(s), 1 orange item(s), 1 purple item(s), 2 red item(s), 1 white item(s), 3 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is orange, or size is extra-extra-small, or material is concrete, or smell is rose, or origin is Chinese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "255711627f731ba6164906ad6036fd26de5c70c71b2bff85630f3362af811d91",
    "id": "bbeh:object_properties:144",
    "request": "I had a collection of 41 weird items that went through a few changes. Initially, I had an extra-small British marker made of glass with a smell of garlic, an extra-large Afghan necklace made of plastic with a smell of garlic, an extra-extra-large Russian necklace made of plastic with a smell of rose, an extra-small British ring made of concrete with a smell of garlic, an extra-small Japanese watch made of steel with a smell of coffee, an extra-small French bowl made of glass with a smell of citrus fruits, an extra-small Chinese saw made of glass with a smell of leather, an extra-large Spanish screwdriver made of steel with a smell of popcorn, a small Italian bird made of plastic with a smell of citrus fruits, an extra-small French wrench made of concrete with a smell of citrus fruits, an extra-large French cup made of steel with a smell of lavender, a medium Spanish hammer made of plastic with a smell of rose, an extra-extra-large Mexican pencil made of steel with a smell of chocolate, a small Portuguese wallet made of glass with a smell of wet dog, an extra-large Chinese knife made of plastic with a smell of baking bread, a large Polish trash can made of plastic with a smell of wet dog, a large Brazilian bird made of plastic with a smell of wet dog, a small Turkish calculator made of glass with a smell of freshly cut grass, an extra-extra-small Canadian scissors made of plastic with a smell of coconut, an extra-small Italian banana made of concrete with a smell of vanilla, a medium Spanish screwdriver made of steel with a smell of vanilla, an extra-small German shoe made of steel with a smell of coffee, an extra-large Afghan chair made of glass with a smell of vinegar, an extra-extra-large Turkish chair made of glass with a smell of pine needles, an extra-large Mexican fork made of steel with a smell of gasoline, an extra-extra-large British earring made of glass with a smell of lavender, an extra-large Japanese sofa made of glass with a smell of lavender, an extra-extra-small Italian table made of steel with a smell of leather, an extra-small Italian canvas made of ceramic with a smell of coffee, an extra-extra-large Chinese key made of plastic with a smell of leather, an extra-extra-small German sunglasses made of glass with a smell of leather, an extra-large British sofa made of ceramic with a smell of baking bread, an extra-extra-large French box made of plastic with a smell of wet dog, an extra-extra-small Chinese sunglasses made of steel with a smell of rose, an extra-extra-large Spanish clock made of glass with a smell of rose, an extra-extra-large British shoe made of steel with a smell of garlic, an extra-extra-large Afghan hat made of steel with a smell of rose, an extra-extra-small Turkish marker made of steel with a smell of garlic, a large Turkish ring made of concrete with a smell of coconut, a large Italian shirt made of concrete with a smell of lavender, an extra-large German speaker made of steel with a smell of freshly cut grass. The color of the items was respectively as follows: the first 3 were black, the next 2 were blue, the next 1 was crimson, the next 1 was cyan, the next 5 were gold, the next 3 were gray, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 2 were maroon, the next 3 were orange, the next 3 were pink, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 4 were turquoise, the next 3 were violet, the next 3 were white. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 3 black item(s), 2 blue item(s), 1 crimson item(s), 1 cyan item(s), 5 gold item(s), 3 gray item(s), 1 green item(s), 1 indigo item(s), 1 ivory item(s), 1 khaki item(s), 2 maroon item(s), 3 orange item(s), 3 pink item(s), 1 red item(s), 2 teal item(s), 4 turquoise item(s), 3 violet item(s), 3 white item(s). Then, my brother replaced any item of size extra-small in my new collection with an exact copy but with one specific size (different from extra-small) and another exact copy but with color purple. After this, my new collection had: 13 extra-extra-small item(s), 9 extra-large item(s), 9 extra-extra-large item(s), 3 small item(s), 2 medium item(s), 4 large item(s), 8 extra-small item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: either color is pink, or size is extra-large, or material is plastic, or smell is baking bread, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "f61fad725aec77d95721e22512e8ceaddb2d0ae719a0b16466d63b9fa49964a3",
    "id": "bbeh:object_properties:150",
    "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had an extra-extra-large French fork made of steel with a smell of gasoline, a medium Italian candle made of concrete with a smell of garlic, a large French wrench made of concrete with a smell of leather, a medium French book made of concrete with a smell of vanilla, an extra-extra-small Mexican brush made of ceramic with a smell of coffee, a small Polish canvas made of glass with a smell of freshly cut grass, a small French speaker made of plastic with a smell of wet dog, a large Iranian dog made of glass with a smell of rose, a small Japanese drill made of concrete with a smell of garlic, an extra-large Chinese lamp made of steel with a smell of chocolate, a large Spanish lamp made of glass with a smell of wet dog, a medium German plate made of plastic with a smell of coconut, a small Russian key made of plastic with a smell of leather, a small Iranian banana made of concrete with a smell of popcorn, a large Russian shirt made of glass with a smell of burning wood, an extra-large British apple made of steel with a smell of pine needles, a large Russian shoe made of ceramic with a smell of freshly cut grass, a small German plier made of plastic with a smell of vinegar, an extra-small Mexican pen made of plastic with a smell of burning wood, a large Canadian marker made of ceramic with a smell of popcorn, an extra-extra-small Brazilian canvas made of glass with a smell of popcorn, an extra-small Iranian knife made of plastic with a smell of coconut, an extra-extra-small Afghan marker made of ceramic with a smell of baking bread, an extra-small Portuguese car made of plastic with a smell of citrus fruits, an extra-large Afghan box made of ceramic with a smell of garlic, a large Canadian table made of glass with a smell of burning wood, an extra-extra-small Spanish bicycle made of steel with a smell of citrus fruits, an extra-extra-small Chinese wrench made of ceramic with a smell of vinegar, a large Polish jar made of plastic with a smell of popcorn, an extra-extra-small French cup made of plastic with a smell of coffee, an extra-extra-large French jar made of ceramic with a smell of popcorn, an extra-small Polish banana made of plastic with a smell of popcorn, a small French book made of ceramic with a smell of vanilla, an extra-small Italian bed made of glass with a smell of leather, a medium Brazilian marker made of plastic with a smell of rose, a large German earring made of steel with a smell of vinegar, an extra-large Portuguese house made of steel with a smell of lavender, an extra-large French stapler made of plastic with a smell of coconut. The color of the items was respectively as follows: the first 4 were beige, the next 3 were black, the next 1 was blue, the next 1 was crimson, the next 1 was cyan, the next 1 was gold, the next 2 were gray, the next 2 were indigo, the next 2 were ivory, the next 3 were khaki, the next 2 were magenta, the next 3 were maroon, the next 1 was orange, the next 1 was pink, the next 2 were red, the next 1 was silver, the next 1 was teal, the next 3 were turquoise, the next 2 were white, the next 2 were yellow. Then, for any item of color crimson in my collection, my mom gave me another one of the same item, but with a ivory color, Chinese origin, extra-extra-large size, gasoline smell, and made of ceramic. Then, my uncle threw away any Chinese item in my new collection, but gave me two of the same item, one Brazilian and one Polish (all other properties the same). Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of leather (all other properties the same). After this, my new collection had: 3 item(s) made of steel, 5 item(s) made of concrete, 10 item(s) made of ceramic, 7 item(s) made of glass, 17 item(s) made of plastic. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the large items in my collection.  In my current collection, how many items have the following attributes: either color is gray, or size is large, or material is plastic, or smell is wet dog, or origin is Spanish? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "629f617b3033428f2c527cc2e8709545e54642c64a43f060441e480aa05d1a83",
    "id": "bbeh:object_properties:151",
    "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had a medium Russian vase made of ceramic with a smell of garlic, an extra-extra-small Portuguese table made of ceramic with a smell of baking bread, a medium Japanese book made of ceramic with a smell of coconut, a small Afghan pencil made of ceramic with a smell of gasoline, an extra-small Brazilian sofa made of glass with a smell of citrus fruits, a medium Mexican car made of steel with a smell of rose, a large French plier made of steel with a smell of popcorn, an extra-extra-small Turkish cup made of concrete with a smell of burning wood, a small Brazilian house made of plastic with a smell of leather, a small Italian speaker made of glass with a smell of citrus fruits, an extra-large Russian plier made of concrete with a smell of lavender, an extra-small Canadian pencil made of glass with a smell of garlic, a large Italian watch made of concrete with a smell of baking bread, a small Japanese trash can made of concrete with a smell of vanilla, an extra-extra-large French watch made of ceramic with a smell of leather, an extra-extra-large Chinese calculator made of concrete with a smell of burning wood, a large Japanese jar made of concrete with a smell of garlic, a medium Portuguese umbrella made of glass with a smell of baking bread, an extra-large Russian brush made of glass with a smell of burning wood, a large Iranian hammer made of concrete with a smell of popcorn, a medium Afghan bottle made of plastic with a smell of coffee, an extra-extra-large Brazilian shirt made of steel with a smell of coffee, a small Brazilian piano made of glass with a smell of baking bread, an extra-extra-small French bed made of glass with a smell of burning wood, an extra-extra-small German ruler made of concrete with a smell of burning wood, an extra-extra-small British brush made of concrete with a smell of pine needles, an extra-small British car made of ceramic with a smell of lavender, an extra-large Canadian brush made of plastic with a smell of garlic, a small Russian hammer made of glass with a smell of citrus fruits, a medium Turkish earring made of glass with a smell of freshly cut grass, a small Chinese screwdriver made of ceramic with a smell of popcorn, an extra-large Afghan candle made of plastic with a smell of pine needles, an extra-small Spanish bowl made of steel with a smell of coconut, an extra-small Mexican hammer made of plastic with a smell of vinegar, a small Italian car made of steel with a smell of citrus fruits, an extra-extra-small British clock made of steel with a smell of vanilla, an extra-extra-large Japanese piano made of plastic with a smell of pine needles, an extra-extra-small French bottle made of steel with a smell of coconut, a large British fork made of ceramic with a smell of wet dog, a medium Russian bicycle made of glass with a smell of gasoline, an extra-extra-large Japanese canvas made of steel with a smell of freshly cut grass, a small Portuguese house made of steel with a smell of burning wood, a small Spanish screwdriver made of ceramic with a smell of lavender, an extra-extra-large Japanese hammer made of plastic with a smell of freshly cut grass. The color of the items was respectively as follows: the first 1 was beige, the next 4 were blue, the next 2 were brown, the next 4 were crimson, the next 1 was cyan, the next 2 were gold, the next 2 were gray, the next 2 were indigo, the next 1 was khaki, the next 4 were maroon, the next 1 was orange, the next 3 were pink, the next 4 were purple, the next 4 were red, the next 2 were silver, the next 1 was teal, the next 2 were violet, the next 1 was white, the next 3 were yellow. Then, my uncle threw away any British item in my collection, but gave me two of the same item, one Brazilian and one German (all other properties the same). Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color blue. After this, my new collection had: 7 medium item(s), 9 extra-extra-small item(s), 16 large item(s), 10 small item(s), 6 extra-small item(s), 4 extra-large item(s), 6 extra-extra-large item(s). Then, my friend took any item with a smell of chocolate, citrus fruits or baking bread in my new collection and threw it away. Then, for any item with a smell of rose, freshly cut grass, or baking bread in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with garlic smell, 3 item(s) with coconut smell, 3 item(s) with gasoline smell, 3 item(s) with leather smell, 4 item(s) with vanilla smell, 8 item(s) with popcorn smell, 7 item(s) with burning wood smell, 5 item(s) with lavender smell, 1 item(s) with rose smell, 2 item(s) with coffee smell, 4 item(s) with pine needles smell, 3 item(s) with freshly cut grass smell, 1 item(s) with vinegar smell, 2 item(s) with wet dog smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-large items in my collection.  In my current collection, how many items have the following attributes: color is not silver, size is not extra-large, material is not ceramic, smell is not wet dog, and origin is not Japanese? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "4c3d40076acc687b393741c45663af432b879f2953177360acdc3553a4240958",
    "id": "bbeh:object_properties:155",
    "request": "I had a collection of 41 weird items that went through a few changes. Initially, I had a large British flower pot made of plastic with a smell of leather, a small Brazilian saw made of glass with a smell of rose, an extra-large German stapler made of steel with a smell of pine needles, an extra-small Canadian key made of glass with a smell of coconut, a small Mexican shirt made of glass with a smell of garlic, an extra-large Iranian cup made of plastic with a smell of coconut, a medium Iranian stapler made of glass with a smell of burning wood, an extra-small Chinese pencil made of glass with a smell of citrus fruits, an extra-large Portuguese fork made of glass with a smell of gasoline, a medium Italian vase made of steel with a smell of coconut, a large Polish ball made of ceramic with a smell of rose, an extra-small Italian wallet made of concrete with a smell of rose, a medium Portuguese bird made of glass with a smell of coffee, a medium Iranian screwdriver made of steel with a smell of lavender, an extra-large Iranian flower pot made of ceramic with a smell of coffee, a small Portuguese necklace made of ceramic with a smell of rose, an extra-small Russian speaker made of steel with a smell of pine needles, an extra-small German fork made of plastic with a smell of garlic, an extra-large Portuguese guitar made of ceramic with a smell of coconut, a medium Russian table made of glass with a smell of vanilla, an extra-large Spanish watch made of steel with a smell of citrus fruits, an extra-small French guitar made of glass with a smell of rose, an extra-extra-large Turkish car made of glass with a smell of vinegar, an extra-large Brazilian clock made of plastic with a smell of leather, an extra-extra-large Mexican chair made of concrete with a smell of lavender, an extra-large Russian stapler made of glass with a smell of citrus fruits, a medium Turkish ring made of plastic with a smell of pine needles, an extra-small Chinese box made of plastic with a smell of freshly cut grass, a large Spanish dog made of plastic with a smell of popcorn, an extra-small Chinese wallet made of plastic with a smell of pine needles, an extra-extra-small British fork made of plastic with a smell of lavender, an extra-extra-small Polish sunglasses made of steel with a smell of leather, an extra-large Japanese box made of concrete with a smell of pine needles, an extra-extra-small Chinese brush made of glass with a smell of coffee, an extra-extra-small Chinese calculator made of ceramic with a smell of popcorn, a large Spanish candle made of concrete with a smell of baking bread, an extra-large Portuguese vase made of steel with a smell of burning wood, a large Spanish shoe made of steel with a smell of coconut, an extra-extra-large Brazilian camera made of steel with a smell of vanilla, an extra-extra-large German jar made of steel with a smell of freshly cut grass, an extra-small Brazilian hat made of glass with a smell of garlic. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 3 were blue, the next 4 were brown, the next 1 was crimson, the next 2 were cyan, the next 1 was green, the next 3 were indigo, the next 4 were ivory, the next 1 was khaki, the next 1 was maroon, the next 1 was orange, the next 4 were purple, the next 1 was red, the next 1 was silver, the next 3 were teal, the next 3 were turquoise, the next 2 were white, the next 3 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 2 black item(s), 3 blue item(s), 4 brown item(s), 1 crimson item(s), 2 cyan item(s), 1 green item(s), 3 indigo item(s), 4 ivory item(s), 1 khaki item(s), 1 maroon item(s), 1 orange item(s), 4 purple item(s), 1 red item(s), 1 silver item(s), 3 teal item(s), 3 turquoise item(s), 2 white item(s), 3 yellow item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to vinegar. After this, my new collection had: 2 black item(s), 3 blue item(s), 3 brown item(s), 1 crimson item(s), 1 cyan item(s), 1 green item(s), 3 indigo item(s), 3 ivory item(s), 2 magenta item(s), 1 maroon item(s), 1 orange item(s), 2 purple item(s), 1 red item(s), 2 teal item(s), 2 turquoise item(s), 1 white item(s), 3 yellow item(s). Then, my friend took any item with a smell of wet dog, popcorn or rose in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: color is not indigo, size is not small, material is not steel, smell is not garlic, and origin is not Russian? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "d8f31f83976f8be1b255cbc1bb393f680db09f83a59e785cfa62746d7ff0ea40",
    "id": "bbeh:object_properties:157",
    "request": "I had a collection of 36 weird items that went through a few changes. Initially, I had a large Canadian bicycle made of ceramic with a smell of baking bread, an extra-small Spanish brush made of steel with a smell of garlic, an extra-small Spanish flower pot made of steel with a smell of citrus fruits, an extra-large Iranian wallet made of ceramic with a smell of lavender, an extra-small Turkish table made of glass with a smell of citrus fruits, an extra-extra-large Spanish bottle made of ceramic with a smell of popcorn, a large Italian ruler made of concrete with a smell of chocolate, a large French bottle made of steel with a smell of wet dog, an extra-small Canadian piano made of concrete with a smell of coffee, a medium Polish clock made of glass with a smell of freshly cut grass, a small Chinese shoe made of ceramic with a smell of gasoline, a medium Canadian bed made of concrete with a smell of lavender, a large Russian sunglasses made of steel with a smell of coconut, an extra-large Chinese guitar made of concrete with a smell of lavender, an extra-extra-large German house made of plastic with a smell of lavender, a small Portuguese bicycle made of concrete with a smell of gasoline, an extra-extra-large Mexican house made of plastic with a smell of rose, an extra-extra-small Canadian candle made of steel with a smell of baking bread, an extra-extra-small British screwdriver made of steel with a smell of leather, a medium Russian trash can made of ceramic with a smell of popcorn, an extra-small Spanish house made of glass with a smell of rose, a small Spanish pen made of ceramic with a smell of gasoline, an extra-small Chinese spoon made of ceramic with a smell of baking bread, an extra-large Portuguese key made of concrete with a smell of lavender, a medium Iranian banana made of steel with a smell of gasoline, an extra-extra-large Mexican marker made of ceramic with a smell of coffee, an extra-large Portuguese clock made of concrete with a smell of freshly cut grass, an extra-extra-small Afghan cup made of plastic with a smell of garlic, an extra-extra-large Portuguese key made of plastic with a smell of pine needles, an extra-small Iranian car made of concrete with a smell of leather, an extra-large French apple made of plastic with a smell of citrus fruits, an extra-extra-large Japanese screwdriver made of ceramic with a smell of citrus fruits, a large Portuguese lamp made of concrete with a smell of vanilla, an extra-extra-small Turkish guitar made of glass with a smell of burning wood, an extra-extra-small Chinese watch made of concrete with a smell of chocolate, a large Japanese saw made of steel with a smell of citrus fruits. The color of the items was respectively as follows: the first 1 was beige, the next 2 were blue, the next 1 was brown, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 4 were indigo, the next 3 were ivory, the next 2 were khaki, the next 1 was magenta, the next 2 were orange, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 3 were silver, the next 3 were teal, the next 1 was turquoise, the next 2 were violet, the next 3 were white. Then, for any item made of glass in my collection, my sister changed their color to her favorite color and changed their smell to wet dog. After this, my collection had: 1 beige item(s), 2 blue item(s), 1 brown item(s), 1 gold item(s), 1 gray item(s), 1 green item(s), 3 indigo item(s), 3 ivory item(s), 2 khaki item(s), 1 magenta item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 1 red item(s), 3 silver item(s), 3 teal item(s), 1 turquoise item(s), 2 violet item(s), 6 white item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item with a smell of pine needles, coconut, or wet dog in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 7 item(s) with chocolate smell, 1 item(s) with coffee smell, 3 item(s) with gasoline smell, 3 item(s) with lavender smell, 1 item(s) with coconut smell, 1 item(s) with rose smell, 2 item(s) with leather smell, 1 item(s) with popcorn smell, 1 item(s) with baking bread smell, 1 item(s) with freshly cut grass smell, 1 item(s) with garlic smell, 1 item(s) with pine needles smell, 3 item(s) with citrus fruits smell, 1 item(s) with vanilla smell, 3 item(s) with wet dog smell. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 gray item(s), 3 indigo item(s), 2 khaki item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 1 red item(s), 1 silver item(s), 4 teal item(s), 1 turquoise item(s), 2 violet item(s), 8 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the medium items in my collection.  In my current collection, how many items have the following attributes: color is not khaki, size is not medium, material is not steel, smell is not leather, and origin is not Italian? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "family": "474931677e3d6da01b5a70f3cf4ab4a25f0c391510c83eff080618f423550a8e",
    "id": "bbeh:object_properties:173",
    "request": "I had a collection of 50 weird items that went through a few changes. Initially, I had a small Japanese sofa made of ceramic with a smell of freshly cut grass, an extra-small Mexican shoe made of concrete with a smell of citrus fruits, a medium Polish fork made of plastic with a smell of wet dog, an extra-small Spanish necklace made of concrete with a smell of citrus fruits, an extra-extra-large Iranian ruler made of concrete with a smell of lavender, an extra-large Russian wallet made of concrete with a smell of lavender, a small German book made of plastic with a smell of wet dog, an extra-large Afghan watch made of ceramic with a smell of leather, a large Mexican candle made of steel with a smell of lavender, a medium Turkish sunglasses made of steel with a smell of burning wood, an extra-extra-small Brazilian stapler made of concrete with a smell of popcorn, a medium Canadian bowl made of plastic with a smell of wet dog, an extra-extra-small German bag made of concrete with a smell of rose, a medium Turkish ball made of ceramic with a smell of burning wood, a small Afghan pen made of steel with a smell of pine needles, a medium Iranian pen made of plastic with a smell of vinegar, an extra-extra-small Spanish bed made of glass with a smell of pine needles, a small German book made of concrete with a smell of vinegar, an extra-extra-large Brazilian umbrella made of steel with a smell of wet dog, an extra-extra-large Spanish bed made of plastic with a smell of chocolate, an extra-small Afghan table made of glass with a smell of vinegar, a large Japanese ring made of concrete with a smell of citrus fruits, a medium Iranian hat made of glass with a smell of popcorn, an extra-large Japanese dog made of plastic with a smell of vinegar, a large Russian calculator made of concrete with a smell of lavender, a medium Russian sofa made of ceramic with a smell of coconut, an extra-large Russian plate made of glass with a smell of freshly cut grass, an extra-small Brazilian canvas made of glass with a smell of citrus fruits, an extra-small German bottle made of ceramic with a smell of rose, an extra-extra-large Mexican car made of concrete with a smell of lavender, an extra-extra-large Japanese wrench made of plastic with a smell of popcorn, an extra-large Mexican knife made of steel with a smell of garlic, an extra-small British plier made of glass with a smell of leather, a large Iranian wrench made of steel with a smell of gasoline, an extra-extra-large Canadian wrench made of steel with a smell of popcorn, a medium Mexican table made of steel with a smell of pine needles, an extra-extra-large Russian trash can made of glass with a smell of rose, an extra-extra-small Italian umbrella made of glass with a smell of leather, a small Iranian clock made of ceramic with a smell of citrus fruits, a small Japanese bag made of plastic with a smell of baking bread, an extra-extra-small Polish umbrella made of ceramic with a smell of coffee, a small Chinese earring made of ceramic with a smell of vinegar, a large Mexican shirt made of plastic with a smell of coconut, a medium Brazilian wrench made of plastic with a smell of lavender, a small Canadian calculator made of glass with a smell of vinegar, an extra-large Russian hat made of concrete with a smell of gasoline, a medium Brazilian bowl made of steel with a smell of burning wood, a large Chinese dog made of ceramic with a smell of popcorn, a large Iranian ruler made of plastic with a smell of baking bread, an extra-extra-small Spanish guitar made of concrete with a smell of coffee. The color of the items was respectively as follows: the first 2 were beige, the next 4 were black, the next 5 were blue, the next 1 was brown, the next 2 were crimson, the next 5 were cyan, the next 1 was gold, the next 2 were gray, the next 1 was green, the next 1 was indigo, the next 3 were ivory, the next 1 was khaki, the next 4 were magenta, the next 1 was maroon, the next 3 were orange, the next 1 was purple, the next 4 were red, the next 2 were silver, the next 2 were teal, the next 2 were violet, the next 1 was white, the next 2 were yellow. Then, my brother replaced any item of size extra-small in my collection with an exact copy but with one specific size (different from extra-small) and another exact copy but with color blue. After this, my collection had: 8 small item(s), 16 medium item(s), 7 extra-extra-large item(s), 6 extra-large item(s), 6 extra-small item(s), 7 large item(s), 6 extra-extra-small item(s). Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of popcorn (all other properties the same). After this, my new collection had: 9 item(s) made of ceramic, 12 item(s) made of concrete, 16 item(s) made of plastic, 8 item(s) made of steel, 11 item(s) made of glass. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my friend took any item with a smell of chocolate, popcorn or lavender in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: color is not yellow, size is not small, material is not glass, smell is not pine needles, and origin is not Mexican? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "f61829082ee721b67d71427928f9de70f4110df413c5cab3b01d2566ab56bcaa",
    "id": "bbeh:object_properties:174",
    "request": "I had a collection of 46 weird items that went through a few changes. Initially, I had an extra-extra-large Iranian lamp made of concrete with a smell of gasoline, a medium Spanish necklace made of glass with a smell of lavender, an extra-small Polish watch made of steel with a smell of freshly cut grass, an extra-extra-large German shirt made of plastic with a smell of burning wood, a large Afghan dog made of concrete with a smell of freshly cut grass, an extra-extra-small Mexican camera made of ceramic with a smell of burning wood, a small Mexican marker made of steel with a smell of coffee, a large Afghan table made of ceramic with a smell of gasoline, a large Italian table made of ceramic with a smell of vinegar, an extra-large Canadian book made of concrete with a smell of wet dog, an extra-large Polish banana made of concrete with a smell of vanilla, an extra-small British bottle made of concrete with a smell of leather, a large Russian car made of plastic with a smell of gasoline, an extra-large Chinese knife made of steel with a smell of burning wood, a large Spanish box made of steel with a smell of pine needles, a medium Turkish candle made of glass with a smell of lavender, a small Canadian shoe made of plastic with a smell of vinegar, an extra-extra-large German bowl made of plastic with a smell of vinegar, an extra-extra-small Canadian sunglasses made of concrete with a smell of chocolate, a medium Turkish box made of glass with a smell of burning wood, an extra-extra-large British sofa made of concrete with a smell of leather, an extra-extra-large Portuguese bowl made of concrete with a smell of coconut, a large Chinese candle made of concrete with a smell of coffee, a small Spanish ball made of concrete with a smell of burning wood, a medium Spanish trash can made of steel with a smell of chocolate, an extra-large Chinese bird made of plastic with a smell of lavender, a large Russian sofa made of steel with a smell of garlic, an extra-large Afghan camera made of plastic with a smell of lavender, a medium Polish saw made of plastic with a smell of lavender, a medium Iranian screwdriver made of plastic with a smell of rose, a small Mexican pen made of ceramic with a smell of popcorn, a large Italian calculator made of concrete with a smell of vanilla, a medium British candle made of plastic with a smell of burning wood, an extra-large British necklace made of steel with a smell of garlic, a medium Spanish scissors made of steel with a smell of citrus fruits, a large Iranian house made of concrete with a smell of burning wood, a medium Canadian jar made of glass with a smell of burning wood, an extra-extra-large Afghan hat made of glass with a smell of rose, a small Brazilian bowl made of plastic with a smell of chocolate, a large Turkish ruler made of plastic with a smell of pine needles, an extra-extra-small Russian car made of concrete with a smell of popcorn, a small Spanish wallet made of steel with a smell of gasoline, an extra-extra-small Russian stapler made of plastic with a smell of leather, an extra-large Spanish ruler made of steel with a smell of vanilla, an extra-extra-small Italian apple made of steel with a smell of wet dog, an extra-small Russian dog made of plastic with a smell of chocolate. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 3 were brown, the next 3 were cyan, the next 1 was gold, the next 3 were green, the next 1 was ivory, the next 2 were khaki, the next 3 were magenta, the next 3 were maroon, the next 3 were orange, the next 5 were pink, the next 1 was purple, the next 3 were red, the next 3 were silver, the next 2 were teal, the next 2 were turquoise, the next 2 were white, the next 3 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 1 beige item(s), 2 black item(s), 3 brown item(s), 3 cyan item(s), 1 gold item(s), 3 green item(s), 1 ivory item(s), 2 khaki item(s), 3 magenta item(s), 3 maroon item(s), 3 orange item(s), 5 pink item(s), 3 red item(s), 3 silver item(s), 2 teal item(s), 2 turquoise item(s), 2 white item(s), 3 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 2 item(s) made of ceramic, 10 item(s) made of concrete, 9 item(s) made of plastic, 7 item(s) made of steel, 3 item(s) made of glass. Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color orange. After this, my new collection had: 8 large item(s), 6 extra-small item(s), 3 small item(s), 4 extra-extra-large item(s), 4 extra-extra-small item(s), 6 medium item(s), 5 extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is red, or size is extra-extra-small, or material is plastic, or smell is pine needles, or origin is Italian? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "dataset": "bbeh",
    "family": "a38cdb58046c8d131c650a5372fdb04cda718139fb4ffefc869860323616666e",
    "id": "bbeh:object_properties:176",
    "request": "I had a collection of 40 weird items that went through a few changes. Initially, I had an extra-small Turkish car made of concrete with a smell of popcorn, an extra-large Polish knife made of steel with a smell of wet dog, an extra-extra-small Italian screwdriver made of glass with a smell of rose, a medium French calculator made of ceramic with a smell of baking bread, an extra-small Mexican drill made of steel with a smell of garlic, a large Mexican drill made of concrete with a smell of popcorn, a large Canadian clock made of ceramic with a smell of rose, a medium Portuguese marker made of ceramic with a smell of pine needles, an extra-extra-large Polish knife made of steel with a smell of wet dog, a large French bicycle made of glass with a smell of chocolate, an extra-large Canadian shirt made of ceramic with a smell of coffee, an extra-small Brazilian scissors made of plastic with a smell of burning wood, an extra-small Russian clock made of concrete with a smell of popcorn, a large Mexican shirt made of concrete with a smell of citrus fruits, an extra-small German fork made of glass with a smell of lavender, an extra-extra-small Canadian shoe made of glass with a smell of freshly cut grass, an extra-large Canadian car made of plastic with a smell of wet dog, an extra-large French plier made of plastic with a smell of baking bread, a large Chinese bicycle made of plastic with a smell of vanilla, an extra-extra-small Brazilian vase made of plastic with a smell of gasoline, an extra-extra-large Mexican knife made of plastic with a smell of gasoline, an extra-extra-small Portuguese necklace made of steel with a smell of burning wood, a small Afghan flower pot made of plastic with a smell of coconut, an extra-extra-small Italian ring made of steel with a smell of burning wood, an extra-small German box made of plastic with a smell of baking bread, a medium Chinese sunglasses made of steel with a smell of pine needles, an extra-small Brazilian shoe made of glass with a smell of gasoline, an extra-large Spanish sofa made of plastic with a smell of garlic, an extra-large Spanish saw made of plastic with a smell of coconut, an extra-extra-small Mexican stapler made of ceramic with a smell of coconut, a small Russian pencil made of ceramic with a smell of gasoline, an extra-extra-large Japanese bottle made of concrete with a smell of vinegar, an extra-extra-large Turkish canvas made of ceramic with a smell of coconut, an extra-extra-small Turkish book made of glass with a smell of wet dog, a medium Japanese bottle made of plastic with a smell of rose, a small British necklace made of ceramic with a smell of gasoline, a small Chinese pencil made of plastic with a smell of coffee, an extra-large Mexican wallet made of plastic with a smell of burning wood, a medium Polish flower pot made of plastic with a smell of coconut, a medium Spanish fork made of glass with a smell of burning wood. The color of the items was respectively as follows: the first 6 were beige, the next 4 were brown, the next 2 were crimson, the next 5 were cyan, the next 4 were indigo, the next 2 were khaki, the next 1 was magenta, the next 1 was maroon, the next 1 was orange, the next 2 were purple, the next 1 was red, the next 3 were silver, the next 2 were teal, the next 4 were turquoise, the next 1 was violet, the next 1 was white. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 6 beige item(s), 4 brown item(s), 2 crimson item(s), 5 cyan item(s), 2 khaki item(s), 1 magenta item(s), 1 maroon item(s), 1 orange item(s), 2 purple item(s), 1 red item(s), 3 silver item(s), 2 teal item(s), 4 turquoise item(s), 1 violet item(s), 1 white item(s). Then, for any item of color white in my new collection, my mom gave me another one of the same item, but with a brown color, Canadian origin, extra-extra-small size, citrus fruits smell, and made of concrete. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to wet dog. After this, my new collection had: 5 beige item(s), 11 brown item(s), 2 crimson item(s), 3 cyan item(s), 2 khaki item(s), 1 magenta item(s), 1 maroon item(s), 1 orange item(s), 1 purple item(s), 1 red item(s), 3 silver item(s), 1 teal item(s), 4 turquoise item(s), 1 violet item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is khaki, or size is extra-small, or material is steel, or smell is citrus fruits, or origin is Spanish? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "7c91119327c73bc8a6cda5414c06a0fb4b3edb0e89c5406381190b878a1565ff",
    "id": "bbeh:object_properties:190",
    "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-large British plier made of ceramic with a smell of burning wood, a small Mexican brush made of ceramic with a smell of vanilla, an extra-large French guitar made of steel with a smell of lavender, an extra-extra-large Russian bottle made of concrete with a smell of vinegar, an extra-large Turkish necklace made of concrete with a smell of citrus fruits, a small Afghan canvas made of ceramic with a smell of coconut, an extra-extra-large French bag made of plastic with a smell of wet dog, a small Portuguese saw made of glass with a smell of pine needles, a small Italian vase made of plastic with a smell of wet dog, a medium Portuguese necklace made of plastic with a smell of chocolate, an extra-extra-small Afghan car made of plastic with a smell of lavender, a medium Polish scissors made of concrete with a smell of chocolate, an extra-extra-large Polish plier made of steel with a smell of gasoline, an extra-small Canadian pencil made of plastic with a smell of chocolate, an extra-extra-small Portuguese scissors made of concrete with a smell of coconut, an extra-large Russian umbrella made of glass with a smell of vanilla, an extra-extra-small Spanish apple made of plastic with a smell of leather, an extra-extra-small French fork made of plastic with a smell of garlic, an extra-small Iranian drill made of plastic with a smell of wet dog, a large Japanese flower pot made of plastic with a smell of coconut, an extra-extra-large Canadian earring made of steel with a smell of vanilla, a medium British umbrella made of glass with a smell of chocolate, an extra-large Iranian cup made of ceramic with a smell of citrus fruits, a small Portuguese candle made of steel with a smell of vinegar, an extra-extra-large Turkish banana made of glass with a smell of leather, a medium Polish screwdriver made of ceramic with a smell of lavender, a medium Mexican piano made of concrete with a smell of freshly cut grass, an extra-small Spanish shirt made of concrete with a smell of burning wood, a small Canadian bag made of concrete with a smell of vinegar, a small Canadian bottle made of steel with a smell of gasoline, an extra-extra-large German watch made of glass with a smell of baking bread, a medium British scissors made of glass with a smell of rose, an extra-extra-small Russian car made of plastic with a smell of coconut, an extra-extra-small Afghan bottle made of plastic with a smell of coffee, an extra-large German pen made of steel with a smell of popcorn, a large German bird made of ceramic with a smell of citrus fruits, a medium Portuguese drill made of steel with a smell of wet dog, a small Afghan vase made of steel with a smell of gasoline, an extra-extra-large Mexican ruler made of steel with a smell of coconut, an extra-extra-large British camera made of steel with a smell of gasoline, a small Portuguese bird made of ceramic with a smell of baking bread, an extra-large Iranian ball made of concrete with a smell of gasoline, a medium Brazilian candle made of concrete with a smell of coffee. The color of the items was respectively as follows: the first 3 were beige, the next 1 was black, the next 2 were blue, the next 3 were brown, the next 2 were crimson, the next 4 were cyan, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 1 was magenta, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 4 were red, the next 1 was silver, the next 5 were teal, the next 3 were turquoise, the next 3 were violet, the next 3 were yellow. Then, for each item of size medium in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my collection had: 6 item(s) made of ceramic, 9 item(s) made of steel, 14 item(s) made of concrete, 10 item(s) made of plastic, 4 item(s) made of glass. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color gold. After this, my new collection had: 7 extra-large item(s), 9 small item(s), 8 extra-extra-large item(s), 14 extra-extra-small item(s), 3 extra-small item(s), 8 medium item(s), 2 large item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my friend took any item with a smell of vanilla, burning wood or chocolate in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the extra-extra-small items in my collection.  In my current collection, how many items have the following attributes: either color is gold, or size is extra-extra-small, or material is glass, or smell is leather, or origin is German? If the exact number cannot be computed, the answer must be \"unknown\".",
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  {
    "dataset": "bbeh",
    "family": "48773deeed2c5ce7ad879d6eef751b688f49d871292e9474c4a415a66a832377",
    "id": "bbeh:object_properties:194",
    "request": "I had a collection of 41 weird items that went through a few changes. Initially, I had a large Spanish bed made of glass with a smell of citrus fruits, a large Mexican calculator made of ceramic with a smell of vinegar, an extra-small Russian plate made of plastic with a smell of baking bread, an extra-extra-large German clock made of concrete with a smell of coffee, a large German chair made of plastic with a smell of chocolate, an extra-extra-large Iranian shirt made of concrete with a smell of coffee, an extra-extra-large French bed made of ceramic with a smell of pine needles, an extra-extra-large Russian shoe made of ceramic with a smell of gasoline, an extra-extra-large Turkish chair made of concrete with a smell of coffee, a large Portuguese table made of glass with a smell of chocolate, an extra-extra-large French jar made of plastic with a smell of vinegar, an extra-extra-large French bowl made of glass with a smell of wet dog, a small Japanese plate made of plastic with a smell of freshly cut grass, a small Polish clock made of glass with a smell of gasoline, an extra-large Canadian necklace made of steel with a smell of rose, an extra-large Turkish banana made of concrete with a smell of rose, an extra-extra-small Afghan bicycle made of glass with a smell of gasoline, a medium Russian dog made of plastic with a smell of coconut, a small Mexican house made of concrete with a smell of rose, a large German watch made of steel with a smell of vanilla, a small Polish brush made of glass with a smell of chocolate, a small Chinese camera made of ceramic with a smell of coconut, an extra-large German book made of plastic with a smell of pine needles, a small Afghan bicycle made of plastic with a smell of burning wood, an extra-extra-small Chinese bird made of ceramic with a smell of wet dog, an extra-small French chair made of concrete with a smell of garlic, an extra-large Chinese watch made of ceramic with a smell of rose, an extra-extra-large German cup made of glass with a smell of freshly cut grass, a medium Japanese ring made of ceramic with a smell of pine needles, a small Canadian book made of glass with a smell of popcorn, an extra-small Spanish ball made of ceramic with a smell of chocolate, an extra-small French ring made of concrete with a smell of chocolate, a small Polish sofa made of plastic with a smell of popcorn, an extra-extra-small Polish ruler made of glass with a smell of coffee, a large British shoe made of ceramic with a smell of popcorn, a small Russian umbrella made of ceramic with a smell of freshly cut grass, an extra-extra-small Japanese pencil made of concrete with a smell of freshly cut grass, a small German cup made of ceramic with a smell of vanilla, an extra-extra-small Chinese piano made of plastic with a smell of vinegar, an extra-extra-large Mexican bag made of steel with a smell of gasoline, a large Mexican bicycle made of glass with a smell of gasoline. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 2 were blue, the next 2 were crimson, the next 2 were cyan, the next 2 were gold, the next 3 were gray, the next 4 were green, the next 1 was indigo, the next 1 was ivory, the next 2 were khaki, the next 2 were magenta, the next 4 were maroon, the next 2 were orange, the next 2 were purple, the next 3 were red, the next 2 were silver, the next 2 were turquoise, the next 1 was yellow. Then, my friend took any item with a smell of popcorn, garlic or citrus fruits in my collection and threw it away. Then, for each item of size extra-extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of coconut (all other properties the same). After this, my new collection had: 8 item(s) made of ceramic, 16 item(s) made of plastic, 6 item(s) made of glass, 2 item(s) made of steel, 4 item(s) made of concrete. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color white. After this, my new collection had: 7 extra-extra-large item(s), 5 large item(s), 7 small item(s), 3 extra-large item(s), 4 extra-extra-small item(s), 2 extra-small item(s), 2 medium item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: either color is ivory, or size is small, or material is concrete, or smell is freshly cut grass, or origin is Turkish? If the exact number cannot be computed, the answer must be \"unknown\".",
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    "family": "390d37396ad2b95842b385786c415bc16904af6dce6c177f9199e017c29fb959",
    "id": "bbeh:object_properties:197",
    "request": "I had a collection of 41 weird items that went through a few changes. Initially, I had an extra-extra-large Turkish knife made of plastic with a smell of popcorn, a large Iranian candle made of ceramic with a smell of wet dog, an extra-extra-small Afghan stapler made of concrete with a smell of vanilla, an extra-small Canadian table made of steel with a smell of vanilla, a small Mexican house made of plastic with a smell of lavender, a small Chinese jar made of steel with a smell of chocolate, a small Brazilian guitar made of plastic with a smell of rose, a large Polish guitar made of plastic with a smell of chocolate, a medium Canadian spoon made of ceramic with a smell of popcorn, an extra-small Turkish ruler made of ceramic with a smell of gasoline, an extra-extra-large Portuguese book made of ceramic with a smell of gasoline, a medium British stapler made of plastic with a smell of leather, a small Brazilian clock made of plastic with a smell of baking bread, an extra-small Afghan marker made of plastic with a smell of garlic, a small Japanese screwdriver made of steel with a smell of popcorn, a large Brazilian jar made of glass with a smell of pine needles, a large Turkish dog made of glass with a smell of coconut, a medium Brazilian vase made of steel with a smell of vinegar, an extra-extra-small Turkish bird made of concrete with a smell of rose, a large Spanish spoon made of ceramic with a smell of garlic, an extra-large Japanese house made of glass with a smell of pine needles, an extra-large Spanish table made of ceramic with a smell of lavender, a large Russian piano made of plastic with a smell of citrus fruits, an extra-large Japanese bed made of concrete with a smell of freshly cut grass, an extra-small Chinese book made of steel with a smell of rose, a medium British key made of steel with a smell of vinegar, a large Polish book made of glass with a smell of gasoline, a large Iranian spoon made of plastic with a smell of freshly cut grass, an extra-small German house made of plastic with a smell of garlic, an extra-large Portuguese plier made of concrete with a smell of garlic, an extra-large Iranian bed made of plastic with a smell of freshly cut grass, an extra-small Turkish earring made of plastic with a smell of pine needles, an extra-extra-small Italian earring made of steel with a smell of popcorn, an extra-extra-small Polish spoon made of plastic with a smell of coffee, an extra-extra-small Brazilian key made of glass with a smell of coffee, a large Turkish table made of plastic with a smell of citrus fruits, a large Mexican trash can made of plastic with a smell of lavender, a small Chinese drill made of ceramic with a smell of popcorn, a medium Brazilian calculator made of ceramic with a smell of burning wood, an extra-extra-large Turkish bed made of glass with a smell of burning wood, an extra-large Portuguese box made of ceramic with a smell of coffee. The color of the items was respectively as follows: the first 4 were black, the next 1 was brown, the next 1 was cyan, the next 1 was gold, the next 3 were gray, the next 2 were green, the next 2 were indigo, the next 3 were ivory, the next 1 was khaki, the next 1 was magenta, the next 2 were maroon, the next 2 were orange, the next 2 were pink, the next 3 were purple, the next 4 were red, the next 1 was silver, the next 2 were teal, the next 4 were turquoise, the next 1 was white, the next 1 was yellow. Then, for any item of color gold in my collection, my mom gave me another one of the same item, but with a magenta color, Japanese origin, large size, popcorn smell, and made of plastic. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my uncle threw away any Afghan item in my new collection, but gave me two of the same item, one German and one Portuguese (all other properties the same). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 black item(s), 1 brown item(s), 1 gold item(s), 1 green item(s), 3 indigo item(s), 2 ivory item(s), 1 khaki item(s), 2 magenta item(s), 1 maroon item(s), 2 orange item(s), 2 pink item(s), 1 purple item(s), 3 red item(s), 4 turquoise item(s), 1 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection.  Then, I lost one of the small items in my collection.  In my current collection, how many items have the following attributes: color is not black, size is not small, material is not concrete, smell is not freshly cut grass, and origin is not Spanish? If the exact number cannot be computed, the answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "object_properties"
  },
  {
    "dataset": "bbeh",
    "family": "de68871f8ddf7644a0683dc67192435a294fdd3e4aacda158b2b3d8c8e308347",
    "id": "bbeh:sarc_triples:005",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Well, I guess this just completely negates any sort of criticism against Israel bombing an occupied population.\nREPLY 1: In school our history book had pictures of the aftermath at Nagasaki, except the photos were from Tokyo after a massive fire a few decades prior.\n\nPOST 2: The Archdruid Report: The Burden of Denial: \"Outside the narrowing circles of the well-to-do, standards of living for most Americans have been declining since the 1970s, along with standards of education, public health, and most of the other things that make for a prosperous and stable society\"\nREPLY 2: I've always felt that the US peaked after the moon landing; downhill ever since in almost all metrics.\n\nPOST 3: Parents are worried about their kids getting drugs in their Halloween candy, but who in their right mind would give away drugs for free?\nREPLY 3: Hm.. I could get this random kid high, or I could get high and look at tiny little ghosts and witches.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "d1e5185a1cf58c3cc7257ed930d4d4b807e16be0db1c88976e6cdfcd530e0ffc",
    "id": "bbeh:sarc_triples:007",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Now that we finally got Reminders on the web, a new feature that you only can access on mobile... Good job Google!\nREPLY 1: I set a goal to use the goals feature, will defer until I eventually delete the reminder realizing I will never actually achieve goal\n\nPOST 2: This happened around late 1980's, will be interesting to see if any current UK security officials will be held accountable or charged.\nREPLY 2: I am sure that this will be carefully investigated and those involved will be tried impartially in a court of law.\n\nPOST 3: I thought he had retired to run christian homeschooling cirriculum and Amway style pyramid scheme businesses.\nREPLY 3: Yeah because we need fewer people in the political arena speaking out about the destruction of the middle class.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "b4960c52d02c44ac18d9cbc2e411cf9e9f3ef8119cfba10243f6c6a7a3e3af36",
    "id": "bbeh:sarc_triples:013",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Barry Logan should have offered to help the artists who had their copyrighted work illegally used sue the web developer for millions.\nREPLY 1: Shit is easilly defended in a Canadian court if you never made a profit that douche company is using scare tactic like those Russians antivirus\n\nPOST 2: I'd laugh my ass off if he nominated the most conservative, backwards, regressive asshole in America just to watch the Republicans block them because they vowed to obstruct.\nREPLY 2: Surely nothing like this would ever happen with Hillary in office, because she knows how to get stuff done.\n\nPOST 3: If left-wingers expressing their opinions makes you want to vote for Trump again then clearly your political views are purely spite-based and you have no business ever voting until you stop being stupid\nREPLY 3: Ahh, it's really *our* fault for pointing out Trumps flaws, pointing out his flaws merely makes other people want to vote for him.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "94702ed3be569a723c6b8d858c1799854e347abcd2c2ec95d7f0dc0938979560",
    "id": "bbeh:sarc_triples:014",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Wait, so this time the officer was the one coming right at the suspect, but was still scared for his life?\nREPLY 1: How can we claim to be a free country when you can't even stab someone and then refuse to submit to the police who come to arrest you?\n\nPOST 2: Hey religion caused a massive AIDS epidemic in Indiana when they one down here but at least whores will be forced to suffer!\nREPLY 2: As a Texan woman all I can say is this is as unsurprising as it is utterly terrifying and shit like this is why I never miss the chance to vote in this backwards unrealistic state\n\nPOST 3: So the answer is to kill of stupid people or make them sterile to prevent further damage to the gene pool?\nREPLY 3: This is a Cultural Marxist lie to hide the fact IQ is dropping (in the West) due to mass immigration (from non-Eurasian regions).\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "50f04db25de058d94bdc98f09a85ffe3e81b3cdecc5fcb948aaf9ff35fff71b8",
    "id": "bbeh:sarc_triples:020",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Republicans Will Rue Their Immigration Stance: \"There are about 250 votes in the House to pass the Senate bill now, but most of those are Democrats, and Speaker John Boehner won't consider a measure opposed by the majority of his caucus\".\nREPLY 1: Cantor got primaries because he supported immigration reform, so the Republicans are not going to touch it with a 10-foot pole because they can't risk pissing off their racist and xenophobic base.\n\nPOST 2: Duke University Dean of Students on two intoxicated individuals engaging in sex: \"Assuming it is a male and female, it is the responsibility in the case of the male to gain consent before proceeding with sex\"\nREPLY 2: #yesallwomen..... apparently you aren't confident enough to be held responsible for your half of a decision?\n\nPOST 3: As a guy I get it but seriously unreported rape and rapists who get let go is such a bigger and more serious issue that it's sort of insulting to even bring this up.\nREPLY 3: This wouldn't possibly be used out of context or place fear in actual victims from reporting and prosecuting.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "216f943fb3a0afdbe9f59578a8c3fa5c1eda9a8dfab577a7ee2841e5572e53a3",
    "id": "bbeh:sarc_triples:022",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: lies we all know shes suffering and hates herself on the inside because it is not humanly possible to be that size\nREPLY 1: What I don't understand is that if someone actually is anorexic, isn't it even worse to shame/bully them?\n\nPOST 2: Hillary Clinton / Obama Supporter Steve Harvey Just Posted THIS to Facebook... Bad Day for Liberals.\nREPLY 2: For what a horrible person Trump is supposed to be, very few people come out of a meeting with bad things to say about him.\n\nPOST 3: Airconsole - This website turns your smartphone into a controller and your computer to a gaming console.\nREPLY 3: Except you can plug in a real fucking controller and not use your shitty phone as a stupid response less controller...\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "557f038c16dff807c7a28a10f48da5ccb12d5848e57a8d84d184b773e74374df",
    "id": "bbeh:sarc_triples:028",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Maybe if our state didn't keep wasting all of our fucking tax money on bullshit we wouldn't need these new and exciting ways to pull more money into the state.\nREPLY 1: Nah, but we should totally keep pissing millions of dollars away by arresting/prosecuting nonviolent drug offenders!\n\nPOST 2: Oh well in that case it makes the beating understandable -- the security officer was just responding to passengers past medical disciplinary problems.\nREPLY 2: Seems a bit shitty to starting doxxing the guy just because he got assaulted and has been thrust into the limelight.\n\nPOST 3: * Jericho beat Goldberg in a backstage fight * Goldberg beat Lesnar at WM 20 * therefore Jericho can beat Lesnar, thats probably why no one else confronted him\nREPLY 3: 10 years ago this article would've said \"Paul HHH Levesque told Vince that Jericho started everything, It is no secret HHH doesnt think Jericho is main event material\" Ah how times have changed.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "c8adf6c1c7969ff842c7a873f3ebc591362806fae1dbbc3c84a43f7d1af6dec3",
    "id": "bbeh:sarc_triples:031",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: i dont see why people start crying once they see an item build they havnt seen before, sure maybe its shit, but you actually have nothing to gain from giving up and maybe if you dont give up you have a small chance of winning\nREPLY 1: Well.. Storm is a weak pusher and i guess Necro 3 really helps him to fill in the gap that he lacks.\n\nPOST 2: The updated version: I pledge allegiance to and wrap myself in the flag of the United States Against Anything Un-American, And to the Republicans for which it stands, two nations, under Jesus, rich against poor, with curtailed liberty and justice for all except blacks, homosexuals, women who want abortions, Communists, welfare queens, treehuggers, feminazis, illegal immigrants, children of illegal immigrants, and you, if you don't watch your step.\nREPLY 2: I see his college matches mine in being a place of higher learning, teaching critical thinking and promoting discussion and free thought.\n\nPOST 3: There was a Marcus in older FE games and the katakana spelling of his name was slightly different from this guy's.\nREPLY 3: Because Max is clearly a shortened form of Maximinus as in reference to Maximinus Thrax, the best roman emperor.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "7cc0b57a86c0a543fb1f9b30090b030d0e1dc5ba7541f2acec3ff59c8e1b2d8a",
    "id": "bbeh:sarc_triples:037",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Jesus was literally nailed to a cross to take on the sins of all humanity, past and present to pay the debt for the world's evil and it's \"nearly unbearable\" for you to look at a flag?\nREPLY 1: Thank Sagan someone found a way to bring Christians back into this issue, for a moment I thought we were going to have to focus on how Muslims treat gays.\n\nPOST 2: part of me doesn't think it's a lack of education - part of me believes they really want to believe this shit they say because then it's not their fault\nREPLY 2: We can't educate students about health, nutrition, and critical thinking; we have too many standardized tests to drill them on.\n\nPOST 3: If you look at this with in the context of \"It could have cost us millions to maintain our bigoted stance rooted in superstitions\" This is still pretty conservative\nREPLY 3: Paxton and Abbott, two tea bagger idiots who say they are for less taxes but do exactly the opposite by wasting tax dollars on frivolous lawsuits they know they will lose.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "06718802e0de1ef0ac7511610f728bf319198030c3c6ee456c3ecbe608638557",
    "id": "bbeh:sarc_triples:051",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: In other news, West Monroe High School regretfully had had to lay off art and science teachers because of funding cuts.\nREPLY 1: Fucking teacher unions and tenure keeping our kids from getting a good education while skyrocketing the cost of education\n\nPOST 2: I will sit there, half-asleep with a headache and hating every moment, for hours rather than put my lips on a cup of garbage instant coffee.\nREPLY 2: If you drive an automatic car, I refuse to get in it, be within 10 feet of it, and regard you, the driver, as a real human being.\n\nPOST 3: You should contact your local councils environmental health team who will tell them to desist - I did this for a local takeaway with a 0 who had their previous 3 in the window, they promptly went round and peeled it off.\nREPLY 3: Great site, i've just checked half a dozen takeaways in both Liverpool &amp; Manchester and none of them exist (one has been open for over 30 years).\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "d91fcbfd5ae588728d8fcc222666947d38635e7e26f18e683feea3f26869d0d9",
    "id": "bbeh:sarc_triples:055",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Took me way too long to figure out that the 2nd picture was a reflection and not a edited picture of your street.\nREPLY 1: Hey man this is a car detailing subreddit, we dont need pictures of your garden we want pictures of clean cars\n\nPOST 2: worst hiphop lyrics of the year just wondering what are the worst lines that you have heard this year.\nREPLY 2: \"Beat his ass stomp him out and throw him in the garbage can, the trash\" - E-40 He straight ruined a otherwise great Q track.\n\nPOST 3: I will literally watch anything if it means I can listen to Keith David's voice, solid move yahoo, solid move.\nREPLY 3: Wow, I am really looking forward to watching it on Yahoo!, what with how quickly and seamlessly that trailer loaded.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "c3485969ba4614457c420f00375ad1ab8235a88ff4dd261f5a3656e3cf494775",
    "id": "bbeh:sarc_triples:058",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Amateurs...they can still lower the car even more if they get that pesky fender splash shield out of there.\nREPLY 1: Just wrong color combo on the wheels it it would've been all black it would've looked better but still a weird choice for a Mercedes not sure how I feel about that\n\nPOST 2: I don't eat cupcakes, but I'd buy 10 for 75 cents a piece and hand them to random white men right in front of the table.\nREPLY 2: TIL I'm worth more than twice black people, 8x more than a Native male and am more valuable than an infinite number of Native women.\n\nPOST 3: Never watched ESPN, dont even like the commentators in sports at all, the radio hosts are actually quite enjoyable to hear to be honest\nREPLY 3: Maybe they keep on doing that pansy shit because someone is gonna make a post about it on reddit and get free ads.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "ca6629ad8fb21b3c5c4a648be756b9783ec3f3e1dde08484083dc7b615e767d9",
    "id": "bbeh:sarc_triples:060",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I hate all the \"clutch\" stats because this was the game changer IMO and will never be reflected.What a game by the entire team!\nREPLY 1: Clearly he choked so hard on this shot that he accidentally made it, if Lebron is clutch now, the last two years of extreme hatred towards him is meaningless.\n\nPOST 2: I apologized for dog hair on a gif of my legging-clad butt, so I really should have seen this coming.\nREPLY 2: I love when people feel the need to tell you, \"other people like it\" as if that means I'm just gonna change my mind right quick.\n\nPOST 3: Cause they are Bli$$ard and don't care about your reconnect time getting the new shop changes are more important.\nREPLY 3: You sound like someone who knows a lot about coding and just how hard/how much work it would take to use a new engine.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "2a8644acc3703f0e8f1c95eabbda049122b9bb4084dd8b4a1174b9cc2d6c976f",
    "id": "bbeh:sarc_triples:064",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: It sounds like you can't update to the latest version without going to the website to download it first (no command line, no option from the menu that just installs updates.)\nREPLY 1: Yay, a language that's been in beta 4 years &amp; not on the Tiobe top 50 languages is now supported!\n\nPOST 2: TIL the first female Athenian doctor had to dress as a man in order to get her education and practice medicine because being a female doctor was a capital crime, but when she became the most popular doctor in town among women in her male guise, the other doctors accused her of seducing her patients.\nREPLY 2: Wikipedia isn't itself the source, at the bottom of each page are all of the sources from which the information is derived.\n\nPOST 3: It's OK, soon everyone will be a doctor, accountant, lawyer or politician, no one actually needs plumbers!\nREPLY 3: Yeah basically Everything is useless now including TAFE Uni and these 'apprenticeship/trainee' courses that JSA's run\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "62868f6851185ff70d4fd1447fef7e4fe7ee827189b866d8b85681329a65c4ca",
    "id": "bbeh:sarc_triples:066",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Turkey may no longer be a viable partner in fight against Isis following coup, says French Foreign Minister\nREPLY 1: He's realizing this now and not back when it was proven Erdogan's own son was involved in dealings with ISIS?\n\nPOST 2: Cutting meat with a knife is easy af, that's why I'm going to use a spoon from now on to show that I'm a awesome\nREPLY 2: This comment chain is truly cringe in every aspect: -horrible english -\"What rank are you\" -peasantry\n\nPOST 3: weapon stats out of 100 30 damge 88 social life 5 tacticool 3 stealth 70 accuracy 0 cooldown 40 reliability 0 penetration 5 armor 10 attackspeed doesnt build into better gun\nREPLY 3: Garbage, wouldnt take it for 25$ you can pick up a used A5 for ~100$ much better marker, 1st gen a5 preferably... Or the eNeMy as mentioned earlier, me personally I Like my automags can pick up a decent L7 minimag for 120ish used\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "d65f3eabb8971fda921deff6db655bea7b31f2ae5888a6916fbb13b799007e2b",
    "id": "bbeh:sarc_triples:068",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: ... by telling you all about the latest \"Have you heard\" and \"They're hiding the truth from you\" conspiracies.\nREPLY 1: Yeah, I'm sure the guy blowing vape smoke wearing an anarchy Mc gentlesir anonamoos mask is sooo going to \"open my mind.\"\n\nPOST 2: Watch it Walker, you keep saying nice things about Hillary and you won't get that sweet VP some people think you should get.\nREPLY 2: I wonder if the outcome would have been different if her email servers were hacked and classified info was leaked out.\n\nPOST 3: Anyone else sick of \"journalists\" using that image of Mario on Final Destination whenever there's \"bad news\" about Nintendo?\nREPLY 3: we just need to keep creating absurd rumors about the NX and have them be repeatedly denied until we can slowly narrow down what it is.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "9347dbad5179ac722b684cb1f3017a064c53e64a3c2809c0c4d3bc11ba20e534",
    "id": "bbeh:sarc_triples:071",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: When gay people have toast in the morning, it isn't called \"gay breakfast\", why is still called \"gay marriage\"?\nREPLY 1: Oh god they were right, first they wanted to be able to be married and now they want it to be the same.\n\nPOST 2: His earlier stuff was actually kind of insightful, but then he went all AVGN on it and starting inserting storylines and it got annoying.\nREPLY 2: \"Every chink in that armor is good\" As a not-Asian, I find his cultural appropriation of Asian culture to be offensive.\n\nPOST 3: Meanwhile the Zionist government in Palestine continues to build a new generation of nukes, fighter jets, and settlements.\nREPLY 3: Good thing they aren't raising a \"new generation\" of kids who can compete in the modern economy... obviously, their only economy is terrorism\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "7afa068661f620d8f704e280c8bcd692485a54cd5726f12c1f787121564daa7c",
    "id": "bbeh:sarc_triples:072",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: The Cavs' LeBron James &amp; Thunder's Russell Westbrook named Kia NBA Players of the Month for February\nREPLY 1: LeBron: 25.9 ppg, 7.2 rpg, 10.6 apg on .637/.568/.667 leading the Cavs to a 9-1 record Westbrook: 33.4 ppg, 11.0 rpg, 10.0 apg on .432/.377/.879 leading the Thunder to a 7-4 record\n\nPOST 2: I gotta admit though, I really like the idea of living in a society where everyone goes around carrying swords.\nREPLY 2: More rational thought from marxist atheists who believe that everything came from nothing (except for their human rights... the government gives them their 'right' to exist)\n\nPOST 3: Well I guess it's true, I do control females when I play as a female in a game but I also control males, foxes, plumbers, and goats.\nREPLY 3: Damn men... Can't even let their patriarchal pride and oppressive misogynistic values go while they're playing video games.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "78f16b6aefa3f2d6c02b04fda16840359794cce60d8c83fdf1b9ea918e4739de",
    "id": "bbeh:sarc_triples:077",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Clinton once again using her cynical laugh when confronted about taking money from lobbyists representing the fracking industry\nREPLY 1: Man, regardless of who you support, you have to admit that she comes off as so dismissive of people seeking answers from her.\n\nPOST 2: Functional Affordable Housing in Vancouver's West End Feeling the Squeeze as Land Value Nearly Doubles\nREPLY 2: guess what little bitches you gon have to move cuz Christy motherfucking Clark building more homes for yuppies\n\nPOST 3: This is a function of men being forced to wear full suit and tie to fit in with defined gender roles!\nREPLY 3: Wow I am sure glad feminism is tackling this rather than the sexual slavery of minority women enforced by Islamists.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "73798cec71759f416254f3565011c6fe7043a65d679dbb3fa2e91e2de99715dd",
    "id": "bbeh:sarc_triples:086",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Kinda funny and not what the answer you meant but Malik Jackson career 134 total tackles and 14 sacks 2nd contract 6yr 90M Andre Brown career 91 total tackles and 14 sacks, 2nd contract 1yr 2.75M Can't always look at the stat line\nREPLY 1: Here is one I've posted before, Andre Williams &amp; Derrick Henry **Senior year:** Player A: 355 att / 2177 yds / 6.1 ypc / 18 TDs Player B: 395 att / 2219 yds / 5.6 ypc / 28 TDs **Combine:** Player A: 4.56s 40 / 38\" vert / 129.0\" Broad / 7.27s 3 cone / 4.06s 20 yd shuttle / 11.62s 60 yd shuttle Player B\" 4.54s 40 / 37\" vert / 130\" Broad / 7.20s 3 cone / 4.38s 20 yd shuttle / 11.50s 60 yd shuttle _sick_ draftpick Tennessee\n\nPOST 2: Well, Kotaku has a history of solid investigative research and unbiased reporting, so if there's one thing we can count on it's that they're a representative sample of CIG as a whole.\nREPLY 2: The way I read it, Chris actually pretty much confirmed the anonymous sources' comments, although he obviously had a different perspective on them.\n\nPOST 3: I, for one, and glad to see real equality in the developing world where women are not afraid to take on the roles historically held by men.\nREPLY 3: Someone should show this to Obama, who called Republicans weak for being afraid of women from Syria.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "9e88f374071e48610b608d30ad609d44058fdeffa4bd0d7a79bc00e35b7fe0dd",
    "id": "bbeh:sarc_triples:091",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: This would result in flaming from players who placed more wards than others and would create too much toxicity within the community.\nREPLY 1: I've wanted this for so long.... :D Just to make people feel bad after they blame the support for \"not warding\"\n\nPOST 2: HEY EVERYBODY DARTH MAUL IS BACK FROM THE DEAD AND KILLS EVERYBPDY AND THEN JAR JAR IS KING OF EARTH THEN MICHAL BAY GOES BOOM BOOM AND THEN the end.\nREPLY 2: I had a feeling that this would happen which is why I avoided playing that stage until after I saw the movie.\n\nPOST 3: Is it easier for people to bitch incessantly instead of not opting for Cortana, toggling two things, using intellect to be on the Pro train from the getgo, using alias e-mails, refusing to fill in every line of information accurately on every site, using script blockers and VPN, or using a different OS altogether?\nREPLY 3: People people people, they're not ads, they're exciting new ways for you to discover engaging content.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "9ebc370ea9c9f242aff431c75c7d14cb3f1a153497671158a16f576acefc9c7a",
    "id": "bbeh:sarc_triples:092",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: HSBC Bank wants to hire as many as 15,000 people in emerging markets such as Asia and Latin America over the next three years\nREPLY 1: Didnt HBSC just have a news release yesterday that they were cutting 25,000 jobs within this next year around the world?\n\nPOST 2: Noooooo and I was just starting to enjoy this sub :( Well, what can you say, obviously this month the visits tanked, at least 200.000 less than last month, our days are numbered, dying embers, leftovers, kthnxbye gonna join social justice and subscribe to Ars\nREPLY 2: gta V came out for pc this month, Witcher 3 came out a few days ago, people are playing vidya no reason for panic :)\n\nPOST 3: I can understand this outrage, since I believe Melissa McCarthy is going to play the lead in the next Assassin's Creed movie.\nREPLY 3: I find it hard to believe that anyone could even get through the first paragraph without concluding that it's definitely satire.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "62dddf6e857d858bdf4901c2460b7ea320545a9ec1bfd7b0f2bfabe99b5ccfa9",
    "id": "bbeh:sarc_triples:093",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Howard doesn't even look like he had to try very hard to absolutely fucking launch that ball, good lord.\nREPLY 1: This is the reason why I can't take Howard serious, always joking around when he should be focused on the game.\n\nPOST 2: Hm, so I'm guessing that Clinton +4 in this poll adjusts Trump's chances on 538 by +5 percent after you adjust for volatility and the enthusiasm gap?\nREPLY 2: Johnsons got a little more crumbling to do... I say final tally is 48-42-3-1 with the map 2012 - IA + NC + NE2\n\nPOST 3: for how often obama \"breaks the law' you'd think the gop would impeach, its not like they hold the house AND senate.\nREPLY 3: Too bad the Republicans can't impeach him since they don't control the house or Sena- Oh wait, they do.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "171a6047b597a551d27da7feee3aeb27f37c9b51259afc9238efcbf69d9b2407",
    "id": "bbeh:sarc_triples:100",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Anybody that has molested a child in any given time day or life should be fed to 1,000 wolves and i wouldnt even want the wolves to get sick!\nREPLY 1: You have to wonder if Congress will continue to employ the Hastert Rule, or at the very least change what it means.\n\nPOST 2: but everyone says auto attack heroes do better damage to immortals so I should be one too, even as a mage\nREPLY 2: The worst is having your keep being sieged by an immortal while all your assassins are whiffing their spells at their Johanna.\n\nPOST 3: Or learn how to fucking aim lmao + jumping hitreg is perfectly fine the Problem are the hitboxes are not accurate on the Model but like others stated the problem here surely wasnt any hitreg issues\nREPLY 3: I'm sure they don't fix it not because it's pretty much impossible with the engine, but because they're too busy adding skins.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "45092585998032082ef530d31ec5f32778f10f4ab8d80c0091077f7d6df0bea4",
    "id": "bbeh:sarc_triples:102",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: M(and my wife's)RW our commencement speaker made sure to call the male graduates \"intelligent\" but the females \"beautiful\"\nREPLY 1: Maybe this is part of why I'm lying awake in bed wondering if I'm smart enough to get a masters degree...\n\nPOST 2: Yeah, because economists are experts on internet technology, so they'd know whether the \"World Authorities\" are capable of \"eliminating\" it.\nREPLY 2: **MICROSOFT WILL NEVER ALLOW LINUX TO SUCCEED** **HOLLYWOOD WILL SHUT DOWN PIRACY** **ENCYCLOPEDIA BRITTANICA HAS AUTHORITIES, WIKIPEDIA IS A JOKE** **E-MAIL IS NEVER GOING TO AFFECT THE BILLION DOLLAR POSTAL INDUSTRY** **THE PC IS A TOY, IT WILL NEVER AFFECT THE COMPUTER INDUSTRY** **THE UNREGULATED INTERNET IS DANGEROUS, PEOPLE WILL STAY IN COMPUSERVE** etc etc ad nauseum\n\nPOST 3: Man I wish we'd play TAMU again I have a bag of batteries and some fish guts that I just don't know what to do with!\nREPLY 3: Aggies students jumped a Tech band member in the restroom, but tech students are supposedly unclassy?\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "21ba13c56b51ab6844af5dded85fcf2d59068b807e6c86cd72711ea958dd1441",
    "id": "bbeh:sarc_triples:110",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Those politicians who think that rape has its good features ought to be raped more often, and find out what it is like.\nREPLY 1: But doesn't a woman's body have ways of shutting that entire business down when it's a legitimate rape?\n\nPOST 2: His PC probably couldn't run Arkham Knight was so terrible performance wise, I was planning on playing through them.\nREPLY 2: But Bruce Wayne is a billionaire and us console gamers don't want to spend 4 thousands dollars on a gaming pc, and that's why consoles are so convenient.\n\nPOST 3: In disturbing times for Nicolas Roche and cycling, has the landscape after Lance Armstrong really changed?\nREPLY 3: I thought this was a good read, and agree that if you need pills, inhalers, injections etc to race then you shouldn't be racing - this goes for all sports.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "61c346b0ca693eab7017916f531e27349d3947c2ec43d700ae949fd62a80459a",
    "id": "bbeh:sarc_triples:115",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: if you think the government is going to use deadly force against these union protests, you're a fucking idiot.\nREPLY 1: Wait that was a long time back, we have evolved since then into a kinder gentler more understanding Nation of better read and more sophisticated citizens!\n\nPOST 2: There is clearly a need for centrifuges used only for making medical isotopes to be located in a fortified site.\nREPLY 2: As long as it's being done with full oversight by the IAEA, this seems like a reasonable compromise.\n\nPOST 3: Well didn't you know all men are naturally rapists so we should applaud him for fighting against his natural urges!\nREPLY 3: malcolm in the middle covered this once, and if even FRANCIS can understand to not take touch a drunk girl, i can't believe it's still an issue.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "94c638e9855bdb9aaf43ef8866cc65b72de032f2028e13dc086f5c20a8343192",
    "id": "bbeh:sarc_triples:125",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: \"Laser guns shooting aids out of them\" that might be the best description of multi-player I've ever read\nREPLY 1: i feel like the main reason this is, is because multiplayer has a lot more \"diversity\" than zombies does, e.g - people don't complain about a weapon being overpowered in zombies since that's a good thing, but a weapon being overpowered in multiplayer is something people will complain about\n\nPOST 2: Surely, the Republicans will respect their \"resolve\" and start favoring bans on assault weapons and strict background checks.\nREPLY 2: They want a vote on gun reform, give it to them, introduce another bill for national reciprocity and call the gun issues reformed.\n\nPOST 3: Could the new land from Oath of the Gathewatch give off colorless and require colorless to cast such cards?\nREPLY 3: You mean mana of any color can be used to pay a colorless casting cost, but colorless mana can't be used to pay mana of any color's casting cost?\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "ee738e3672a9f808941dcd66531c3ef05e710d75ef37a1c31ec2a5742147e67f",
    "id": "bbeh:sarc_triples:126",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: You realize that there are people all over the world that are competing in and watching this event right?\nREPLY 1: Yeah and next time they have a world championship in Korea, they should make sure that it isn't at 4 am my time\n\nPOST 2: TIL a Shaggy Defense is the name given to a legal strategy in which the defendant flatly denies guilt in the face of overwhelming evidence against them.\nREPLY 2: Very similar to the Trump defence, where a person flatly denies well understood events and facts no matter how obvious they may be.\n\nPOST 3: Evidence: all his billionaire cabinet nominees keep getting approved by the Republican controlled Senate.\nREPLY 3: The United States really needs a system where if the president reaches a 65% unfavorable rating, they are automatically removed from office and a new election is held.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "86a7cf0b37cb439052e8c26120b4478e7be057c0fa65b0f22d0688f21eb9a7ff",
    "id": "bbeh:sarc_triples:135",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: It is good to be aware of allergy dangers for those who suffer from them, but we have gone too far in removing anything and everything that can potentially hurt someone.\nREPLY 1: I am allergic to amoxicillin, so there should be no amoxicillin in any pharmacy, incase I'm given it by mistake.\n\nPOST 2: \"People don't have a problem with CEOs making $100,000 a day, but think a $15 minimum wage is the end of the world.\"\nREPLY 2: But guys the CEO works harder then the workers and the company cant run without the CEO but the workers are just an expense that takes away from the profits .\n\nPOST 3: For everyone who voted for republicans - don't WORRY - I'm SURE they will find a way to give you special treatment so you won't lose a penny of that money you already paid into SS\nREPLY 3: One good thing about this is that this will affect his core supporters the most, and that's going to be funny.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "17b6876485d3c40b68e1129c551380b5b7562ab445646125bfb8eee7a730f57b",
    "id": "bbeh:sarc_triples:136",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: And don't forget to create a moral for the story, which will discourage anyone from actually following in those footsteps!\nREPLY 1: The moral of the story is work hard and make great decisions so your kids/grandkids can have an easier life.\n\nPOST 2: Next thing you know he's going to show you his XBox scores to prove that he really passed Ranger school.\nREPLY 2: Damn it, the creepster has found out about my planned sci fi/ fantasy novel \"The hores of waar, part six in the puss puss chronicles\" And it was going to be soooo good too\n\nPOST 3: MRW a family member says that gay people shouldn't be allowed to get married, because they can't have children naturally\nREPLY 3: \"So if one or both of a hetrosexual married couple becomes infertile, they should be forced to divorce?\"\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "5bf5869a0eb3c7bc7ce1192d6e4f8ed3bafa1ad4251d84c0425309e882df58cf",
    "id": "bbeh:sarc_triples:140",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Continuing to wear shoes through someone's home and bedroom after being specifically asked not to sounds like a barbaric cultural practice to me.\nREPLY 1: All this could have been avoided if the Landlord just went \"Sure I'll give you an additional 1 hr notice\"\n\nPOST 2: Well, Cena has more albums under his belt (no pun intended) than Jay Electronica so you can count on him to deliver.\nREPLY 2: I really hope the song Wale and Flatbush Zombies collab'd on for the new Nation stable makes it onto the soundtrack.\n\nPOST 3: Parks and Recreation Season 7, the episode where we find out what Morningstar was and the look on Ron's face when he looks up and all his friends are gone.\nREPLY 3: Agents of Shield S2E1 [After spending the entire episode showing Simmons helping Fitz deal with his memory loss and his brain damage only to learn that she is just a hallucination and that she had left Shield and left Fitz all alone to suffer]\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "cd0fdd79c506c4ba44903fe6ccfe96053eb06a4e3e5fdc4a2ac7290d56f689bc",
    "id": "bbeh:sarc_triples:151",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: So far my costume is to paint myself green and yell hulk smash while I aggressively try to hurt my vibrator because the madder I get the bigger it gets....or something like that.\nREPLY 1: I masturbate with a nun costume because even the sheer thought of sinning while wearing something so pure is enough to ... excuse me\n\nPOST 2: Well now, this certainly sounds like an ownership group that plans on taking advantage of that out clause.\nREPLY 2: I was really hoping they would add more beer variety...maybe some AZ Wilderness or Santan, oh well maybe someday.\n\nPOST 3: Been waiting for 4 months and finally got a letter approving me, now all I have to do is give some information and I get \"service unavailable at this time\", been another month I've emailed and called and gotten no results yet... Its great skipping meals :D\nREPLY 3: Earning or Learn... wait a second apparently it's just Earning now, sure they'll find a way to fix that though.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "516ece8fa1169a39a55db30d45b1488d1b934948b50032e7c82479cb2a1ca3ed",
    "id": "bbeh:sarc_triples:153",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Where can you find pleasure Search the world for treasure Learn science technology Where can you begin to make your dreams all come true On the land or on the sea Where can you learn to fly Play in sports and skin dive Study oceanography Sign up for the big band Or sit in the grandstand When your team and others meet\nREPLY 1: I know a guy who is currently in as a boilermaker he's passed all his exams etc and done his time and they refuse to sign off on his trade more than a year after they should have.\n\nPOST 2: your guess on carbon prices we going up or down before the mcdavid set expires and by how much do you think?\nREPLY 2: can't see them going down before the set expires, after it expires they will NOSE DIVE almost immediately\n\nPOST 3: We already had an electoral reform referendum and the people decided, shouldn't it be a once in a generation thing.\nREPLY 3: Because making people feel good about being able to vote for everything they *believe in* and effectively feel good about being able to grandstand isn't as important as dealing with poverty etc.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "0674d3fc20453424c99c46e820b4e535f182fad55a3a612b73df2881a3dc0e9f",
    "id": "bbeh:sarc_triples:155",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Well, what they refer to as \"fake news\" is a threat to their career and the ideology they push, so it *is* a bigger threat to *them* then terrorism (or crazed lorries).\nREPLY 1: Let's see if they can browse their facebook feeds from the intensive care unit after their Starbucks gets firebombed\n\nPOST 2: New poll shows German attitude towards immigration hardens - More German women than men now oppose further immigration\nREPLY 2: If they collectively do a 180 on their immigration stance the next election for a leader that will actually protect the country and it's people.\n\nPOST 3: TIL 24% of Americans are white racist neo-confederates that literally want to reinstate slavery and have a theocracy\nREPLY 3: However, it's important to note that (like Scotland) people want to break away because they believe their state is not communist *enough*.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "7bbfa11bae397640e658d2bfa28ba246ca3f880c5b078bec689b5e8decbec114",
    "id": "bbeh:sarc_triples:158",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: You pleebs are all stuck in your cave of ignorance and propoganda, while dank memes has led me and my kind into the enlightenment of independent thought.\nREPLY 1: I see Plato's cave analogy used so much by conspiritards and neckbeardy right wingers so much that I almost wish Greek philosophy never happened.\n\nPOST 2: EVERY experienced fighter can tell you that \"having your enemy's back against the wall\" is LITERALLY THE worst position you can be in.\nREPLY 2: Yup, played Malph top yday vs a Fiora, and whenever her passive popped in a side, I just moved to a wall.\n\nPOST 3: OBVIOUSLY, HE HAS BEEN BRAINWASHED BY THE MEDIA AND COERCED INTO THIS INTERVIEW BY IDIOT LIBERALS LOL\nREPLY 3: Pro tip: it's a stupid fucking meme, and every time someone calls it a racist frog, it only makes them look out of touch.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "9ae8e7766a894ca2092f4a6b47c30109fc03ac83e243f0d20dc04f47ee8bb046",
    "id": "bbeh:sarc_triples:161",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I see they finally nerfed that op Ursa gun, this is the change that inspires me to start playing again\nREPLY 1: Don't want to complain after you took the time to do this, but not starting the Y-axis from zero is very misleading... Looks like those benchmark graphs tech companies manipulate to make a 1% look like a 10%.\n\nPOST 2: Because the community is full of stupid fucking Care Bears that don't think the wilderness should be dangerous and demand the reward without the risk\nREPLY 2: \"Owhmygod why pk the HC ironman, i know it's the wilderness but he was probably just doing some slayer, why pk in the wildy?\n\nPOST 3: I'm speechless as how she's treating her guest by letting him speak without interruption and say what he'd like to say.\nREPLY 3: \"Look I respect your point of view, I would hope that I would call my son a thug if he ever did such a thing\" Drops mic\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "f1524740b10796e84e8039b5f0e69589dfa5f1569337b9e885ed9a1d2fd0f7c4",
    "id": "bbeh:sarc_triples:162",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: To be fair, it's relatively easy to have a surplus when Congress isn't approving anything to spend money on.\nREPLY 1: except we have a $366 billion deficit for the first nine months of fiscal 2014. nice job cherry-picking, but those pesky facts keep getting in the way.\n\nPOST 2: If a player is killed by random crits within a short time after spawning, they should have a shorter respawn time.\nREPLY 2: better idea: remove random crits from all non-melees, now you wont get killed by a scout hitting one shot and gaben deciding to bless it\n\nPOST 3: Did any of these Arab newspapers actually draw and print Muhammad in their newspapers as a reaction to the terrorist incident?\nREPLY 3: How dare they draw the cartoonists getting murdered, makes me sick, don't they consider the family that will read these cartoons?\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "674629de1c453eb159cf94e9884d862f8ee1ac11def6bf4395b2081f9ed1f8ef",
    "id": "bbeh:sarc_triples:166",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Predictions for PL matches today Everton - Swansea: winner Everton Hull - Southampton: winner Southampton Stoke - west ham: winner west ham Make your own predictions and comment whether you agree with me or not on my predictions.\nREPLY 1: Newcastle 1 - 3 Liverpool Stoke 1 - 2 West Ham Chelsea 2 - 0 QRR Arsenal 1 - 2 Burnley Hull 2 - 2 Southampton Leicester 3 - 0 WBA Everton 2 - 2 Swansea\n\nPOST 2: Clock stops working, OP buys new clock, new clock is of a different shape, pipe is removed and rebent to fit new clock.\nREPLY 2: Maybe they all agreed that that was the best possible location for the clock and moving it would cause unrest in the community.\n\nPOST 3: The cost of producing solar energy is dropping so quickly that it could be cheaper than fossil fuels by 2018.\nREPLY 3: Solar is not the answer, it can be part of the answer, but cutting world population back to 2 billion is the answer.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "e2e161413d3ca50686b3779232c68d75d4c21306090e7ac70534933a79c30907",
    "id": "bbeh:sarc_triples:172",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: might want to hot glue the bottle down or something, it's just a matter of time till the filament gets stuck on the spool or something and the bottle gets pulled over.\nREPLY 1: You should swap to a bottle of everclear so you know if something goes wrong, the everclear will sterilize the area.\n\nPOST 2: Really sucks for teenagers who live with their parents who won't let them use their debit/credit card\nREPLY 2: Steam is the ONLY way I can contact anyone of my gaming friends, I'm too hipster for Facebook Messages, too new school for email, too old school to tweet, too cool for text messaging or the apps that give me free texting to anyone.\n\nPOST 3: Endless line of workers getting artillery shells ready for attack at the National Shell Filling Factory at Chilwell, Nottinghamshire, UK 1917-07\nREPLY 3: Imagine what humanity could accomplish if we possessed the will to mobilize like this to combat climate change or to explore the other planets.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "cea9b76dda8dac5ddb6b3aa869a037794f5f5ea4414775880fcbcb55bfa252df",
    "id": "bbeh:sarc_triples:173",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: You mean Wal-Mart stores weren't being used to house military weapons to attack and overthrow America with?\nREPLY 1: I'm looking forward to the flood of self-analysis and reflection among right wing talking heads as they try to understand how they could have been so wrong on something so big.\n\nPOST 2: The same reality where the false rape accusations, the UVAhoax, were \"progress in a weird way since they opened up the discussion on gang rapes in fraternities\"\nREPLY 2: Space agencies should totally employ a feminist stylist to be on hand at all times to bother the scientists at important, mission-critical moments because their shirts are \"problematic\"!\n\nPOST 3: Not trying to make excuses but people who say that have no idea what they're dealing with, so they have no idea what to say; hence they'll just try to cheer you up with hollow words.\nREPLY 3: didn't you know there is only a finite amount of suffering that is distributed among people around the world?\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "291dcde4b69096dd4b419088ba67a2fa185ec94085720f16a10701503b0dd3a3",
    "id": "bbeh:sarc_triples:175",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I think it would upset me more if a person *looks* like a different gender than the one on the door than if they *are* a different gender.\nREPLY 1: I am female to male transgender, I can confirm that I went through the difficult process of transitioning just so that I can stare at guy's dicks in the bathroom.\n\nPOST 2: Let us have a moment of silence for Myth tomes, and all the memories we shared: * 300 weekly myth cap * Only dropped from AK * waiting 2 hours to get into AK with a full party * Deciding \"fuck getting the i90 chest piece, imma upgrade my Relic to +1\" good times\nREPLY 2: I'm really, -really- tired of tomestones and wish they'd just go away I better not see a single tomestone after the expansion\n\nPOST 3: But the engine of electro cars is better, they use energy better than normal cars, and its always better when the gases are not in populated areas (citys)\nREPLY 3: It's a good job internal combustion engines and the oil drilling that they require is so environmentally benign then isn't it?\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "218f1b0d77c9684fb45cae44d6919d1a31b025ba7214e5e257e3400f5da0c82c",
    "id": "bbeh:sarc_triples:180",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: They'll bar yu from flying because you say your underwear is the bomb, but they can't catch people with *actual* bombs.\nREPLY 1: Yeah I'd rather have nobody checking for weapons on my flights than a slightly overweight group of people.\n\nPOST 2: The suit will allege that he didn't give them permission to use his comments or video at his rallies and interviews.\nREPLY 2: Since Clinton's ads are composed almost entirely of footage of Trump saying things, shouldn't he really be suing himself?\n\nPOST 3: ...but other than all that, the lying, the lack of knowledge on foreign and domestic affairs, or the lack of basic understanding on what the government actually does...why shouldnt he be president?\nREPLY 3: How has a third party candidate not emerged as a viable alternative to Trump and Clinton, you think if this election can't bring one out, it will never be more than a two party system.\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "9f8f80e20f1674799cea9afea0e507c1d690f7aefebe03bff8416148db63353c",
    "id": "bbeh:sarc_triples:187",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: But it requires actually learning a text editor, I need my dreamweaver and clickydiclick user interface :(\nREPLY 1: Ha, if `CMD-Shift-Right` took OP 18 years to figure out, he'll probably be ready to retire by the time he makes it through `vimtutor`\n\nPOST 2: would you say the same thing if it was a 30 day trial of norton internet security that came installed by default?\nREPLY 2: You know, it doesn't matter that software that you despise and will never use in your entire lifetime is on your system.\n\nPOST 3: The problem is that money dominates everything and the law is a game of interpreting written language that has little to do with how it will affect people's lives.\nREPLY 3: The first time I find one of those breast cancer genes in my body I'm going to sue that company for inventing them\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "8ad62f28f0d68e222425d356c3c39899cc651361611452c49ae60e42c787569f",
    "id": "bbeh:sarc_triples:194",
    "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Centuries later, historians will look to our era and see that the Robot Uprising of 2277 all started with a video game.\nREPLY 1: Why this is significant is that the deep learning of the AI was only provided with the frame - FOV - as other players are so it had to infer information only from that (without access to map etc.)\n\nPOST 2: But if I type in \"Gary Johnson beats Trump and Clinton\" into google, I've got dozens of polls saying otherwise!\nREPLY 2: Panic now that polls showJohnson is pulling from Clinton more than trump: here comes the media discredit!\n\nPOST 3: Atheist academic calls for religion 'to be offended at every opportunity': Dawkins says it's ridiculous to be accused of racism when you criticise Islam\nREPLY 3: I find it appalling that Christianity is fair game for mocking, but if you criticize Islam you will be called a racist or an \"Islamophobe.\"\n\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sarc_triples"
  },
  {
    "dataset": "bbeh",
    "family": "81307abef5dbcc9e5ef2c9f8d46f2c6df297a81de4f44ba57abb8956087195d2",
    "id": "bbeh:shuffled_objects:008",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Lolita, Bob gets Frankenstein, Claire gets Moby Dick, Dave gets The Pearl, Eve gets Hound of the Baskervilles, Fred gets The Fellowship of the Ring, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Dave and Gertrude swap books. Then, Dave and Eve swap books (let's call it Action 1). Then, Eve and Fred swap books (let's call it Action 2). Then, Fred and Eve swap books (let's call it Action 3). Then, Eve and Dave swap books (let's call it Action 4). Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Alice and Fred swap books (let's call it Action 5). Then, Alice and Fred discuss something (let's call it Action 6). Then, Alice and Fred swap books. Then, Alice and Claire swap books (let's call it Action 7). Then, Claire and Fred swap books (let's call it Action 8). Then, Fred and Claire swap books (let's call it Action 9). Then, Claire and Alice swap books (let's call it Action 10). Then, Alice and Gertrude swap books (let's call it Action 11). Then, Alice and Gertrude discuss something (let's call it Action 12). Then, Action 11 repeats. Then, Alice and Dave swap books (let's call it Action 13). Then, Dave and Alice swap books (let's call it Action 14). Then, Action 1 repeats. Then, Eve and Alice swap books (let's call it Action 15). Then, Alice and Eve swap books (let's call it Action 16). Then, Eve and Dave swap books. Then, Claire and Gertrude swap books (let's call it Action 17). Then, Gertrude and Claire swap books (let's call it Action 18). Then, nothing happens for a while (let's call it Action 19). Then, Dave and Eve swap books. Then, Dave and Eve discuss something (let's call it Action 20). Then, Action 1 repeats. Then, Eve and Fred swap books. Then, Eve and Fred discuss something (let's call it Action 21). Then, Action 2 repeats. Then, Action 19 repeats. Then, nothing happens for a while. Then, Dave and Claire swap books (let's call it Action 22). Then, Claire and Alice swap books. Then, Action 7 repeats. Then, Claire and Dave swap books (let's call it Action 23). Then, nothing happens for a while. Then, Bob and Fred swap books (let's call it Action 24). Then, Bob and Fred discuss something (let's call it Action 25). Then, Bob and Fred swap books. Then, Gertrude and Bob swap books (let's call it Action 26). Then, Bob and Gertrude swap books (let's call it Action 27). Then, Gertrude and Fred swap books (let's call it Action 28). Then, Gertrude and Fred discuss something (let's call it Action 29). Then, Gertrude and Fred swap books. Then, Claire and Gertrude swap books. Then, Action 26 repeats. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Bob and Eve swap books (let's call it Action 30). Then, Eve and Bob swap books (let's call it Action 31). Then, Action 19 repeats. Then, nothing happens for a while. Then, Action 19 repeats. Then, nothing happens for a while. Then, Claire and Bob swap books (let's call it Action 32). Then, Eve and Gertrude swap books (let's call it Action 33). Then, Eve and Gertrude discuss something (let's call it Action 34). Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 27 repeats. Then, Gertrude and Claire swap books. Then, Action 1 repeats. Then, Eve and Dave swap books. Then, Bob and Dave swap books (let's call it Action 35). Then, Dave and Fred swap books (let's call it Action 36). Then, Fred and Dave swap books (let's call it Action 37). Then, Dave and Bob swap books (let's call it Action 38). Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Gertrude and Alice swap books (let's call it Action 39). Then, Gertrude and Alice discuss something (let's call it Action 40). Then, Gertrude and Alice swap books. Then, Action 11 repeats. Then, Gertrude and Alice swap books. Then, Fred and Alice swap books (let's call it Action 41). Then, Fred and Alice discuss something (let's call it Action 42). Then, Fred and Alice swap books. Then, Bob and Claire swap books (let's call it Action 43). Then, Bob and Claire discuss something (let's call it Action 44). Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Fred and Bob swap books (let's call it Action 45). Then, Bob and Fred swap books. Then, Action 8 repeats. Then, Claire and Fred discuss something (let's call it Action 46). Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Action 16 repeats. Then, Action 45 repeats. Then, Fred and Bob discuss something (let's call it Action 47). Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Action 19 repeats. Then, Action 39 repeats. Then, Alice and Gertrude swap books. Then, Bob and Claire swap books. Then, Action 32 repeats. Then, Bob and Alice swap books (let's call it Action 48). Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Bob swap books (let's call it Action 49). Then, Action 49 repeats. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Eve swap books. Then, Action 15 repeats. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books (let's call it Action 50). Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something (let's call it Action 51). Then, Action 37 repeats. Then, Gertrude and Dave swap books (let's call it Action 52). Then, Dave and Gertrude swap books (let's call it Action 53). Then, Alice and Dave swap books. Then, Claire and Bob swap books. Then, Action 43 repeats. Then, Gertrude and Dave swap books. Then, Dave and Fred swap books. Then, Action 37 repeats. Then, Action 53 repeats. Then, Eve and Gertrude swap books. Then, Action 39 repeats. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 54). Then, Bob and Eve swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Action 28 repeats. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books (let's call it Action 55). Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Action 27 repeats. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Alice and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Action 17 repeats. Then, Gertrude and Alice swap books. Then, Claire and Dave swap books. Then, Action 1 repeats. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something (let's call it Action 56). Then, Claire and Gertrude swap books. Then, Action 19 repeats. Then, Action 19 repeats. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Gertrude swap books. Then, Action 18 repeats. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Action 17 repeats. Then, Claire and Gertrude discuss something. Then, Action 17 repeats. Then, Action 19 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 19 repeats. Then, Claire and Dave swap books. Then, Claire and Dave discuss something (let's call it Action 57). Then, Action 23 repeats. Then, Alice and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Action 14 repeats. Then, Fred and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Claire and Eve swap books (let's call it Action 58). Then, Eve and Claire swap books (let's call it Action 59). Then, Action 48 repeats. Then, Bob and Alice discuss something (let's call it Action 60). Then, Bob and Alice swap books. Then, Dave and Fred swap books. Then, Action 37 repeats. Then, nothing happens for a while. Then, Action 39 repeats. Then, Action 40 repeats. Then, Gertrude and Alice swap books. Then, Action 26 repeats. Then, Action 27 repeats. Then, Action 2 repeats. Then, Action 3 repeats. Then, Gertrude and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, Action 19 repeats. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Action 55 repeats. Then, Action 50 repeats. Then, Bob and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Action 31 repeats. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Eve and Bob discuss something (let's call it Action 61). Then, Eve and Bob swap books. Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something (let's call it Action 62). Then, Bob and Gertrude swap books. Then, Action 23 repeats. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something (let's call it Action 63). Then, Claire and Alice swap books. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, Action 19 repeats. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Action 26 repeats. Then, Action 58 repeats. Then, Eve and Claire swap books. Then, Fred and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Fred swap books. Then, Bob and Dave swap books. Then, Action 14 repeats. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Action 11 repeats. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Action 2 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 18 repeats. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Dave swap books. Then, Action 14 repeats. Then, Action 13 repeats. Then, Dave and Claire swap books. Then, Action 37 repeats. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Action 8 repeats. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something (let's call it Action 64). Then, Alice and Eve swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something (let's call it Action 65). Then, Action 38 repeats. Then, Eve and Alice swap books. Then, Action 16 repeats. Then, Bob and Alice swap books. Then, Alice and Claire swap books. Then, Action 10 repeats. Then, Action 49 repeats. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Gertrude and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Gertrude swap books. Then, Action 19 repeats. Then, Action 23 repeats. Then, Action 57 repeats. Then, Action 23 repeats. Then, Fred and Gertrude swap books. Then, Action 28 repeats. Then, Alice and Claire swap books. Then, Alice and Claire discuss something (let's call it Action 66). Then, Action 7 repeats. Then, Action 32 repeats. Then, Claire and Bob discuss something (let's call it Action 67). Then, Action 32 repeats. Then, Action 19 repeats. Then, Action 13 repeats. Then, Action 1 repeats. Then, Eve and Dave swap books. Then, Dave and Alice swap books. Then, Action 36 repeats. Then, Bob and Claire swap books. Finally, Eve and Fred swap books. At the end of the semester, Eve has\nOptions:\n(A) Lolita\n(B) Frankenstein\n(C) Moby Dick\n(D) The Pearl\n(E) Hound of the Baskervilles\n(F) The Fellowship of the Ring\n(G) The Odyssey",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "933a64f679f3a9a552df21495b25b7b35569dae491a89d65f04056755a068caf",
    "id": "bbeh:shuffled_objects:012",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Lola, Claire is dancing with Patrick, Dave is dancing with Sam, Eve is dancing with Izzi, Fred is dancing with Helga, and Gertrude is dancing with Rodrigo.\nThroughout the song, the dancers often trade partners. First, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Fred and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something. Then, Eve and Claire switch partners. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Fred switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Bob switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Dave and Gertrude switch partners. Finally, Alice and Dave switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Melissa\n(B) Lola\n(C) Patrick\n(D) Sam\n(E) Izzi\n(F) Helga\n(G) Rodrigo",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "bcccc12bdf29fdc82bf5404e10348a901b8e36fb363a5f432c8246cc5cb09f02",
    "id": "bbeh:shuffled_objects:014",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Frankenstein, Bob gets Ulysses, Claire gets The Great Gatsby, Dave gets The Odyssey, Eve gets The Fellowship of the Ring, Fred gets Catch-22, and Gertrude gets Moby Dick.\nAs the semester proceeds, they start trading around the new books. First, Claire and Gertrude swap books. Then, Claire and Alice swap books (let's call it Action 1). Then, Alice and Gertrude swap books (let's call it Action 2). Then, Gertrude and Alice swap books (let's call it Action 3). Then, Alice and Claire swap books (let's call it Action 4). Then, Alice and Dave swap books (let's call it Action 5). Then, Alice and Dave discuss something (let's call it Action 6). Then, Alice and Dave swap books. Then, Bob and Gertrude swap books (let's call it Action 7). Then, Gertrude and Dave swap books (let's call it Action 8). Then, Dave and Gertrude swap books (let's call it Action 9). Then, Gertrude and Bob swap books (let's call it Action 10). Then, Gertrude and Fred swap books (let's call it Action 11). Then, Fred and Bob swap books (let's call it Action 12). Then, Bob and Fred swap books (let's call it Action 13). Then, Fred and Gertrude swap books (let's call it Action 14). Then, Fred and Claire swap books (let's call it Action 15). Then, Claire and Fred swap books (let's call it Action 16). Then, Bob and Alice swap books (let's call it Action 17). Then, Bob and Alice discuss something (let's call it Action 18). Then, Action 17 repeats. Then, Claire and Gertrude swap books (let's call it Action 19). Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books (let's call it Action 20). Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while (let's call it Action 21). Then, Eve and Dave swap books (let's call it Action 22). Then, Eve and Dave discuss something (let's call it Action 23). Then, Eve and Dave swap books. Then, Action 21 repeats. Then, Claire and Bob swap books (let's call it Action 24). Then, Bob and Eve swap books (let's call it Action 25). Then, Eve and Bob swap books (let's call it Action 26). Then, Bob and Claire swap books (let's call it Action 27). Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Action 19 repeats. Then, Action 11 repeats. Then, Action 21 repeats. Then, nothing happens for a while. Then, Fred and Bob swap books. Then, Fred and Bob discuss something (let's call it Action 28). Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Fred and Eve swap books (let's call it Action 29). Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Fred swap books (let's call it Action 30). Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something (let's call it Action 31). Then, Bob and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Action 2 repeats. Then, Action 20 repeats. Then, Fred and Dave swap books (let's call it Action 32). Then, Action 21 repeats. Then, Alice and Eve swap books (let's call it Action 33). Then, Eve and Alice swap books (let's call it Action 34). Then, Gertrude and Fred swap books. Then, Action 14 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 21 repeats. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something (let's call it Action 35). Then, Dave and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Claire and Eve swap books (let's call it Action 36). Then, Eve and Claire swap books (let's call it Action 37). Then, Action 10 repeats. Then, Gertrude and Bob discuss something (let's call it Action 38). Then, Action 10 repeats. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books (let's call it Action 39). Then, Action 30 repeats. Then, Action 27 repeats. Then, Claire and Bob swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Alice and Fred swap books (let's call it Action 40). Then, Alice and Fred discuss something (let's call it Action 41). Then, Action 40 repeats. Then, Gertrude and Eve swap books (let's call it Action 42). Then, Eve and Gertrude swap books (let's call it Action 43). Then, Alice and Claire swap books. Then, Action 36 repeats. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Fred and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, Action 11 repeats. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Gertrude swap books. Then, Action 32 repeats. Then, Dave and Claire swap books (let's call it Action 44). Then, Claire and Dave swap books (let's call it Action 45). Then, Dave and Fred swap books (let's call it Action 46). Then, Claire and Gertrude swap books. Then, Action 20 repeats. Then, Claire and Eve swap books. Then, Claire and Eve discuss something (let's call it Action 47). Then, Claire and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 43 repeats. Then, Eve and Gertrude discuss something (let's call it Action 48). Then, Eve and Gertrude swap books. Then, Bob and Dave swap books (let's call it Action 49). Then, Dave and Bob swap books (let's call it Action 50). Then, Fred and Alice swap books (let's call it Action 51). Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Action 40 repeats. Then, Action 46 repeats. Then, Action 14 repeats. Then, Gertrude and Fred swap books. Then, Action 32 repeats. Then, Action 50 repeats. Then, Action 49 repeats. Then, Dave and Fred swap books. Then, Dave and Fred discuss something (let's call it Action 52). Then, Dave and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books (let's call it Action 53). Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Action 46 repeats. Then, Action 5 repeats. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, nothing happens for a while. Then, Action 36 repeats. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something (let's call it Action 54). Then, Dave and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Fred and Alice swap books. Then, Action 33 repeats. Then, Action 34 repeats. Then, Alice and Fred swap books. Then, Alice and Fred swap books. Then, Fred and Gertrude swap books. Then, Action 11 repeats. Then, Fred and Alice swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Action 43 repeats. Then, Bob and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something (let's call it Action 55). Then, Fred and Gertrude swap books. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, Action 36 repeats. Then, Eve and Alice swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something (let's call it Action 56). Then, Dave and Eve swap books. Then, Action 49 repeats. Then, Bob and Dave discuss something (let's call it Action 57). Then, Bob and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, Action 30 repeats. Then, Fred and Claire swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 7 repeats. Then, Gertrude and Eve swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something (let's call it Action 58). Then, Gertrude and Alice swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something (let's call it Action 59). Then, Fred and Eve swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Action 43 repeats. Then, Bob and Dave swap books. Then, Dave and Claire swap books. Then, Action 45 repeats. Then, Dave and Bob swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Action 21 repeats. Then, Claire and Eve swap books. Then, Eve and Gertrude swap books. Then, Action 42 repeats. Then, Action 37 repeats. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something (let's call it Action 60). Then, Claire and Gertrude swap books. Then, Action 39 repeats. Then, Eve and Dave swap books. Then, Fred and Gertrude swap books. Then, Action 42 repeats. Then, Eve and Gertrude swap books. Then, Action 11 repeats. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books (let's call it Action 61). Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 33 repeats. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Action 45 repeats. Then, Claire and Dave discuss something (let's call it Action 62). Then, Claire and Dave swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something (let's call it Action 63). Then, Fred and Claire swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something (let's call it Action 64). Then, Action 1 repeats. Then, Action 21 repeats. Then, Action 21 repeats. Then, Action 8 repeats. Then, Gertrude and Dave discuss something (let's call it Action 65). Then, Gertrude and Dave swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Action 50 repeats. Then, Fred and Eve swap books. Finally, Bob and Fred swap books. At the end of the semester, Dave has\nOptions:\n(A) Frankenstein\n(B) Ulysses\n(C) The Great Gatsby\n(D) The Odyssey\n(E) The Fellowship of the Ring\n(F) Catch-22\n(G) Moby Dick",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "b7019984a7426ee900d10f84fba28a97a97216faa3942ed5f3a97717ceb92de1",
    "id": "bbeh:shuffled_objects:016",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a brown present, Claire has a orange ball, Dave has a red present, Eve has a black ball, Fred has a purple present, and Gertrude has a green present.\nAs the event progresses, pairs of people swap gifts. First, Claire and Gertrude swap their gifts. Then, Alice and Gertrude swap their gifts (let's call it Action 1). Then, Alice and Gertrude discuss something (let's call it Action 2). Then, Alice and Gertrude swap their gifts. Then, Bob and Alice swap their gifts (let's call it Action 3). Then, Alice and Dave swap their gifts (let's call it Action 4). Then, Dave and Alice swap their gifts (let's call it Action 5). Then, Alice and Bob swap their gifts (let's call it Action 6). Then, nothing happens for a while (let's call it Action 7). Then, Eve and Bob swap their gifts (let's call it Action 8). Then, Bob and Eve swap their gifts (let's call it Action 9). Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Fred swap their gifts (let's call it Action 10). Then, Alice and Fred discuss something (let's call it Action 11). Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts (let's call it Action 12). Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts (let's call it Action 13). Then, Action 10 repeats. Then, nothing happens for a while. Then, Bob and Dave swap their gifts (let's call it Action 14). Then, Bob and Dave discuss something (let's call it Action 15). Then, Bob and Dave swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts (let's call it Action 16). Then, Fred and Gertrude swap their gifts (let's call it Action 17). Then, Action 13 repeats. Then, Dave and Bob swap their gifts (let's call it Action 18). Then, Dave and Bob discuss something (let's call it Action 19). Then, Dave and Bob swap their gifts. Then, Claire and Alice swap their gifts (let's call it Action 20). Then, Claire and Alice discuss something (let's call it Action 21). Then, Action 20 repeats. Then, Dave and Gertrude swap their gifts (let's call it Action 22). Then, Dave and Gertrude discuss something (let's call it Action 23). Then, Dave and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts (let's call it Action 24). Then, Gertrude and Bob discuss something (let's call it Action 25). Then, Gertrude and Bob swap their gifts. Then, Eve and Claire swap their gifts (let's call it Action 26). Then, Eve and Claire discuss something (let's call it Action 27). Then, Eve and Claire swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts (let's call it Action 28). Then, Dave and Fred swap their gifts (let's call it Action 29). Then, Fred and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Action 6 repeats. Then, Action 9 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts (let's call it Action 30). Then, Claire and Gertrude swap their gifts (let's call it Action 31). Then, Gertrude and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts (let's call it Action 32). Then, Claire and Bob swap their gifts (let's call it Action 33). Then, Bob and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Action 10 repeats. Then, Fred and Dave swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Eve and Alice swap their gifts (let's call it Action 34). Then, Alice and Claire swap their gifts (let's call it Action 35). Then, Action 20 repeats. Then, Alice and Eve swap their gifts (let's call it Action 36). Then, Fred and Gertrude swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 34 repeats. Then, Alice and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Action 5 repeats. Then, Alice and Dave swap their gifts. Then, Action 16 repeats. Then, Gertrude and Fred discuss something (let's call it Action 37). Then, Gertrude and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Gertrude and Dave swap their gifts (let's call it Action 38). Then, Gertrude and Dave discuss something (let's call it Action 39). Then, Gertrude and Dave swap their gifts. Then, nothing happens for a while. Then, Action 13 repeats. Then, Alice and Gertrude swap their gifts. Then, Eve and Alice swap their gifts. Then, Action 36 repeats. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Dave and Eve swap their gifts (let's call it Action 40). Then, Dave and Eve discuss something (let's call it Action 41). Then, Dave and Eve swap their gifts. Then, Fred and Eve swap their gifts (let's call it Action 42). Then, Eve and Dave swap their gifts (let's call it Action 43). Then, Dave and Eve swap their gifts. Then, Eve and Fred swap their gifts (let's call it Action 44). Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something (let's call it Action 45). Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something. Then, Action 24 repeats. Then, nothing happens for a while. Then, Action 32 repeats. Then, Claire and Bob swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts (let's call it Action 46). Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something (let's call it Action 47). Then, Fred and Dave swap their gifts. Then, Action 10 repeats. Then, Alice and Fred discuss something. Then, Alice and Fred swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 5 repeats. Then, Action 4 repeats. Then, Action 16 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 36 repeats. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Action 10 repeats. Then, Alice and Fred swap their gifts. Then, Action 11 repeats. Then, Alice and Fred swap their gifts. Then, Claire and Fred swap their gifts (let's call it Action 48). Then, Fred and Claire swap their gifts (let's call it Action 49). Then, Gertrude and Eve swap their gifts (let's call it Action 50). Then, Dave and Claire swap their gifts (let's call it Action 51). Then, Dave and Claire discuss something (let's call it Action 52). Then, Dave and Claire swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 17 repeats. Then, Action 13 repeats. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts (let's call it Action 53). Then, Gertrude and Alice swap their gifts. Then, Action 10 repeats. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something (let's call it Action 54). Then, Action 31 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 16 repeats. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 55). Then, Eve and Gertrude discuss something (let's call it Action 56). Then, Eve and Gertrude swap their gifts. Then, Dave and Alice swap their gifts. Then, Action 4 repeats. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts (let's call it Action 57). Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Action 29 repeats. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Action 48 repeats. Then, Action 31 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Bob and Fred swap their gifts (let's call it Action 58). Then, Fred and Bob swap their gifts (let's call it Action 59). Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Action 17 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 59 repeats. Then, Fred and Bob discuss something (let's call it Action 60). Then, Fred and Bob swap their gifts. Then, Action 43 repeats. Then, Eve and Dave discuss something (let's call it Action 61). Then, Eve and Dave swap their gifts. Then, Action 7 repeats. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something (let's call it Action 62). Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Action 16 repeats. Then, nothing happens for a while. Then, Action 29 repeats. Then, Fred and Dave swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Action 18 repeats. Then, Bob and Claire swap their gifts. Then, Action 7 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Action 7 repeats. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something (let's call it Action 63). Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Action 55 repeats. Then, Gertrude and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Action 6 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, nothing happens for a while. Then, Action 7 repeats. Then, Gertrude and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 1 repeats. Then, Claire and Bob swap their gifts. Then, Action 9 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Fred and Claire swap their gifts. Then, Action 33 repeats. Then, Bob and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Action 36 repeats. Then, Eve and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Action 39 repeats. Then, Gertrude and Dave swap their gifts. Then, Action 7 repeats. Then, Action 12 repeats. Then, Alice and Fred swap their gifts. Then, Action 42 repeats. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Action 55 repeats. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 17 repeats. Then, Action 7 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Action 40 repeats. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something (let's call it Action 64). Then, Dave and Fred swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Action 17 repeats. Then, Action 5 repeats. Then, Eve and Alice swap their gifts. Finally, Bob and Dave swap their gifts. At the end of the event, Dave has the\nOptions:\n(A) blue present\n(B) brown present\n(C) orange ball\n(D) red present\n(E) black ball\n(F) purple present\n(G) green present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "a2114501fda1174fc319bc27689e4c087d235e0e9cc1db6093a45f1ef48edf66",
    "id": "bbeh:shuffled_objects:027",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a pink ball, Bob has a orange ball, Claire has a white ball, Dave has a green ball, Eve has a blue ball, Fred has a black ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Dave and Alice swap balls. Then, Dave and Gertrude swap balls (let's call it Action 1). Then, Gertrude and Dave swap balls (let's call it Action 2). Then, Claire and Fred swap balls (let's call it Action 3). Then, Fred and Claire swap balls (let's call it Action 4). Then, Alice and Bob swap balls (let's call it Action 5). Then, Bob and Gertrude swap balls (let's call it Action 6). Then, Gertrude and Bob swap balls (let's call it Action 7). Then, Bob and Alice swap balls (let's call it Action 8). Then, Gertrude and Alice swap balls (let's call it Action 9). Then, Alice and Gertrude swap balls (let's call it Action 10). Then, Claire and Eve swap balls (let's call it Action 11). Then, Eve and Alice swap balls (let's call it Action 12). Then, Alice and Eve swap balls (let's call it Action 13). Then, Eve and Claire swap balls (let's call it Action 14). Then, Fred and Dave swap balls (let's call it Action 15). Then, Fred and Dave discuss something (let's call it Action 16). Then, Fred and Dave swap balls. Then, Action 11 repeats. Then, Claire and Eve discuss something (let's call it Action 17). Then, Claire and Eve swap balls. Then, Dave and Fred swap balls (let's call it Action 18). Then, Fred and Dave swap balls. Then, nothing happens for a while (let's call it Action 19). Then, Alice and Claire swap balls (let's call it Action 20). Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls (let's call it Action 21). Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls (let's call it Action 22). Then, Dave and Alice swap balls (let's call it Action 23). Then, Action 13 repeats. Then, Action 19 repeats. Then, Fred and Gertrude swap balls (let's call it Action 24). Then, Fred and Gertrude discuss something (let's call it Action 25). Then, Fred and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls (let's call it Action 26). Then, Claire and Dave swap balls (let's call it Action 27). Then, Action 23 repeats. Then, Fred and Bob swap balls (let's call it Action 28). Then, Bob and Fred swap balls (let's call it Action 29). Then, Bob and Eve swap balls (let's call it Action 30). Then, Eve and Bob swap balls (let's call it Action 31). Then, Action 19 repeats. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Eve and Fred swap balls (let's call it Action 32). Then, Eve and Fred discuss something (let's call it Action 33). Then, Eve and Fred swap balls. Then, Action 15 repeats. Then, Action 23 repeats. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Action 19 repeats. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls (let's call it Action 34). Then, Bob and Claire swap balls (let's call it Action 35). Then, Claire and Fred swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something (let's call it Action 36). Then, Claire and Dave swap balls. Then, Dave and Bob swap balls (let's call it Action 37). Then, Bob and Alice swap balls. Then, Action 5 repeats. Then, Bob and Dave swap balls (let's call it Action 38). Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls (let's call it Action 39). Then, Fred and Eve swap balls (let's call it Action 40). Then, Fred and Eve swap balls. Then, Fred and Eve discuss something (let's call it Action 41). Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something (let's call it Action 42). Then, Action 21 repeats. Then, nothing happens for a while. Then, Alice and Fred swap balls (let's call it Action 43). Then, Action 30 repeats. Then, Bob and Eve discuss something (let's call it Action 44). Then, Action 30 repeats. Then, Action 1 repeats. Then, Dave and Gertrude discuss something (let's call it Action 45). Then, Dave and Gertrude swap balls. Then, Claire and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls (let's call it Action 46). Then, Alice and Claire swap balls. Then, Action 5 repeats. Then, Action 35 repeats. Then, Action 34 repeats. Then, Action 8 repeats. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Action 24 repeats. Then, Gertrude and Fred swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something (let's call it Action 47). Then, Bob and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Bob and Eve swap balls. Then, Action 32 repeats. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something (let's call it Action 48). Then, Action 18 repeats. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something (let's call it Action 49). Then, Action 35 repeats. Then, Action 39 repeats. Then, Action 24 repeats. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something (let's call it Action 50). Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Action 23 repeats. Then, Alice and Dave swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Action 14 repeats. Then, Eve and Claire discuss something (let's call it Action 51). Then, Eve and Claire swap balls. Then, Eve and Gertrude swap balls (let's call it Action 52). Then, Eve and Gertrude discuss something (let's call it Action 53). Then, Eve and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Action 39 repeats. Then, Action 28 repeats. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Fred and Dave swap balls. Then, Action 19 repeats. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls (let's call it Action 54). Then, Alice and Eve swap balls. Then, Alice and Eve discuss something (let's call it Action 55). Then, Alice and Eve swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Action 34 repeats. Then, Action 35 repeats. Then, Eve and Fred swap balls. Then, Action 24 repeats. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Action 28 repeats. Then, Action 29 repeats. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Action 8 repeats. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something (let's call it Action 56). Then, Bob and Fred swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Action 28 repeats. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Action 26 repeats. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Action 27 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Action 27 repeats. Then, Dave and Bob swap balls. Then, Action 38 repeats. Then, Dave and Claire swap balls. Then, Action 32 repeats. Then, Fred and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls (let's call it Action 57). Then, Eve and Dave swap balls (let's call it Action 58). Then, Action 37 repeats. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Claire and Dave swap balls. Then, Action 37 repeats. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Action 27 repeats. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Action 19 repeats. Then, Gertrude and Claire swap balls (let's call it Action 59). Then, Gertrude and Claire discuss something (let's call it Action 60). Then, Action 59 repeats. Then, Action 7 repeats. Then, Action 8 repeats. Then, Action 5 repeats. Then, Bob and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 19 repeats. Then, nothing happens for a while. Then, Action 12 repeats. Then, Eve and Alice discuss something (let's call it Action 61). Then, Eve and Alice swap balls. Then, Action 40 repeats. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Action 56 repeats. Then, Bob and Fred swap balls. Then, Claire and Fred swap balls. Then, Action 4 repeats. Then, nothing happens for a while. Then, Action 35 repeats. Then, Bob and Claire discuss something. Then, Action 35 repeats. Then, nothing happens for a while. Then, Action 31 repeats. Then, Action 19 repeats. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Action 7 repeats. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something (let's call it Action 62). Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Action 34 repeats. Then, Claire and Bob discuss something (let's call it Action 63). Then, Action 34 repeats. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something (let's call it Action 64). Then, Fred and Alice swap balls. Then, Action 21 repeats. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something (let's call it Action 65). Then, Dave and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Action 39 repeats. Then, Gertrude and Fred discuss something (let's call it Action 66). Then, Gertrude and Fred swap balls. Then, Action 19 repeats. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Action 10 repeats. Then, Action 59 repeats. Then, Claire and Gertrude swap balls (let's call it Action 67). Then, Gertrude and Alice swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something (let's call it Action 68). Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Dave swap balls. Then, Action 1 repeats. Then, Action 26 repeats. Then, Claire and Eve swap balls. Then, Action 14 repeats. Then, Action 27 repeats. Then, Claire and Fred swap balls. Then, Bob and Gertrude swap balls. Finally, Gertrude and Alice swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) pink ball\n(B) orange ball\n(C) white ball\n(D) green ball\n(E) blue ball\n(F) black ball\n(G) yellow ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "fc516e560fc9eb7199675ec44cb3184211fb66307c380862efa2ebded71e1ebd",
    "id": "bbeh:shuffled_objects:041",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Lola, Claire is dancing with Patrick, Dave is dancing with Sam, Eve is dancing with Izzi, Fred is dancing with Helga, and Gertrude is dancing with Rodrigo.\nThroughout the song, the dancers often trade partners. First, Fred and Gertrude switch partners. Then, Eve and Fred switch partners (let's call it Action 1). Then, Eve and Fred discuss something (let's call it Action 2). Then, Action 1 repeats. Then, Alice and Fred switch partners (let's call it Action 3). Then, Alice and Fred discuss something (let's call it Action 4). Then, Alice and Fred switch partners. Then, Claire and Eve switch partners (let's call it Action 5). Then, Claire and Eve discuss something (let's call it Action 6). Then, Claire and Eve switch partners. Then, Alice and Eve switch partners (let's call it Action 7). Then, Alice and Eve discuss something (let's call it Action 8). Then, Action 7 repeats. Then, Bob and Eve switch partners (let's call it Action 9). Then, Bob and Eve discuss something (let's call it Action 10). Then, Bob and Eve switch partners. Then, Fred and Alice switch partners (let's call it Action 11). Then, Alice and Bob switch partners (let's call it Action 12). Then, Bob and Alice switch partners (let's call it Action 13). Then, Alice and Fred switch partners. Then, Action 1 repeats. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Gertrude and Alice switch partners (let's call it Action 14). Then, Gertrude and Alice discuss something (let's call it Action 15). Then, Gertrude and Alice switch partners. Then, Fred and Bob switch partners (let's call it Action 16). Then, Fred and Bob discuss something (let's call it Action 17). Then, Fred and Bob switch partners. Then, nothing happens for a while (let's call it Action 18). Then, Dave and Claire switch partners (let's call it Action 19). Then, Claire and Dave switch partners (let's call it Action 20). Then, Bob and Eve switch partners. Then, Action 1 repeats. Then, Fred and Eve switch partners (let's call it Action 21). Then, Eve and Bob switch partners (let's call it Action 22). Then, Action 18 repeats. Then, Fred and Eve switch partners. Then, Action 1 repeats. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something (let's call it Action 23). Then, Claire and Dave switch partners. Then, Fred and Claire switch partners (let's call it Action 24). Then, Claire and Eve switch partners. Then, Eve and Claire switch partners (let's call it Action 25). Then, Claire and Fred switch partners (let's call it Action 26). Then, Action 21 repeats. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 27). Then, Action 21 repeats. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners (let's call it Action 28). Then, Gertrude and Claire switch partners (let's call it Action 29). Then, Claire and Dave switch partners. Then, Dave and Gertrude switch partners (let's call it Action 30). Then, Gertrude and Claire switch partners. Then, Action 28 repeats. Then, Gertrude and Dave switch partners (let's call it Action 31). Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something (let's call it Action 32). Then, Action 29 repeats. Then, nothing happens for a while. Then, Fred and Gertrude switch partners (let's call it Action 33). Then, Action 14 repeats. Then, Alice and Gertrude switch partners (let's call it Action 34). Then, Gertrude and Fred switch partners (let's call it Action 35). Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 36). Then, Dave and Claire switch partners. Then, Alice and Dave switch partners (let's call it Action 37). Then, Dave and Alice switch partners (let's call it Action 38). Then, Eve and Dave switch partners (let's call it Action 39). Then, Action 30 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners (let's call it Action 40). Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Bob and Gertrude switch partners (let's call it Action 41). Then, Action 29 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners (let's call it Action 42). Then, Action 3 repeats. Then, Fred and Alice switch partners. Then, Claire and Fred switch partners. Then, Action 39 repeats. Then, Eve and Dave discuss something (let's call it Action 43). Then, Action 39 repeats. Then, nothing happens for a while. Then, Action 30 repeats. Then, Dave and Gertrude discuss something (let's call it Action 44). Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice switch partners (let's call it Action 45). Then, Action 7 repeats. Then, Eve and Alice switch partners (let's call it Action 46). Then, Alice and Claire switch partners (let's call it Action 47). Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something (let's call it Action 48). Then, Gertrude and Fred switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Action 18 repeats. Then, Bob and Fred switch partners (let's call it Action 49). Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Dave and Fred switch partners (let's call it Action 50). Then, Fred and Dave switch partners (let's call it Action 51). Then, Fred and Alice switch partners. Then, Fred and Alice discuss something (let's call it Action 52). Then, Fred and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something (let's call it Action 53). Then, Action 31 repeats. Then, Eve and Dave switch partners. Then, Action 43 repeats. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 32 repeats. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Action 18 repeats. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners (let's call it Action 54). Then, Claire and Bob switch partners (let's call it Action 55). Then, Bob and Fred switch partners. Then, Action 18 repeats. Then, Action 55 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Action 54 repeats. Then, Action 18 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Action 38 repeats. Then, Action 28 repeats. Then, Claire and Gertrude discuss something (let's call it Action 56). Then, Claire and Gertrude switch partners. Then, Action 25 repeats. Then, Claire and Gertrude switch partners. Then, Action 29 repeats. Then, Action 5 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 35 repeats. Then, Fred and Gertrude switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 57). Then, Action 46 repeats. Then, nothing happens for a while. Then, Action 45 repeats. Then, Action 47 repeats. Then, Eve and Dave switch partners. Then, Dave and Fred switch partners. Then, Action 51 repeats. Then, Dave and Eve switch partners. Then, Dave and Gertrude switch partners. Then, Action 44 repeats. Then, Action 30 repeats. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 34 repeats. Then, Gertrude and Bob switch partners. Then, Action 18 repeats. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something (let's call it Action 58). Then, Fred and Dave switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 35 repeats. Then, Action 21 repeats. Then, Eve and Fred switch partners. Then, Action 33 repeats. Then, Claire and Alice switch partners. Then, Action 47 repeats. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Dave and Bob switch partners (let's call it Action 59). Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners (let's call it Action 60). Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Action 7 repeats. Then, Eve and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Action 13 repeats. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 61). Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners (let's call it Action 62). Then, Gertrude and Bob switch partners. Then, Action 41 repeats. Then, Gertrude and Eve switch partners (let's call it Action 63). Then, Action 41 repeats. Then, Bob and Gertrude discuss something (let's call it Action 64). Then, Bob and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 65). Then, Dave and Bob switch partners. Then, Action 39 repeats. Then, Action 40 repeats. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Action 46 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 29 repeats. Then, Claire and Eve switch partners. Then, Action 25 repeats. Then, Action 28 repeats. Then, Alice and Fred switch partners. Then, Action 11 repeats. Then, Action 41 repeats. Then, Gertrude and Bob switch partners. Then, Claire and Fred switch partners. Then, Action 11 repeats. Then, Alice and Fred switch partners. Then, Action 24 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Action 31 repeats. Then, Action 30 repeats. Then, Fred and Dave switch partners. Then, Action 58 repeats. Then, Action 51 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 45 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Claire and Alice switch partners. Then, Action 47 repeats. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 66). Then, Claire and Bob switch partners. Then, Eve and Bob switch partners. Then, Action 41 repeats. Then, Action 42 repeats. Then, Bob and Eve switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something (let's call it Action 67). Then, Action 24 repeats. Then, Action 25 repeats. Then, Claire and Gertrude switch partners. Then, Action 29 repeats. Then, Action 5 repeats. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 7 repeats. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Action 20 repeats. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Action 40 repeats. Then, Action 39 repeats. Then, Dave and Fred switch partners. Then, Alice and Claire switch partners. Then, Action 45 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Action 22 repeats. Then, Eve and Bob discuss something (let's call it Action 68). Then, Eve and Bob switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 13 repeats. Then, Bob and Alice discuss something (let's call it Action 69). Then, Bob and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Dave and Gertrude switch partners. Finally, Alice and Dave switch partners. At the end of the dance, Eve is dancing with\nOptions:\n(A) Melissa\n(B) Lola\n(C) Patrick\n(D) Sam\n(E) Izzi\n(F) Helga\n(G) Rodrigo",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "25f38be5f6169731ec67d2d9a12fda016bc45f1e0b8a89112b97d0d23da3a41d",
    "id": "bbeh:shuffled_objects:042",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing right midfielder, Claire is playing striker, Dave is playing fullback, Eve is playing center midfielder, Fred is playing benchwarmer, and Gertrude is playing right winger.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice trade positions. Then, Dave and Bob trade positions. Finally, Gertrude and Alice trade positions. At the end of the match, Alice is playing\nOptions:\n(A) left midfielder\n(B) right midfielder\n(C) striker\n(D) fullback\n(E) center midfielder\n(F) benchwarmer\n(G) right winger",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "41d0339846eb79fc87f523b5d607d21043f725a8e632d3db270863d03c8a7968",
    "id": "bbeh:shuffled_objects:045",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Patrick, Bob is dancing with Lola, Claire is dancing with Izzi, Dave is dancing with Rodrigo, Eve is dancing with Helga, Fred is dancing with Sam, and Gertrude is dancing with Melissa.\nThroughout the song, the dancers often trade partners. First, Eve and Bob switch partners. Then, Bob and Gertrude switch partners (let's call it Action 1). Then, Bob and Gertrude discuss something (let's call it Action 2). Then, Bob and Gertrude switch partners. Then, Claire and Gertrude switch partners (let's call it Action 3). Then, Gertrude and Claire switch partners (let's call it Action 4). Then, nothing happens for a while (let's call it Action 5). Then, Dave and Claire switch partners (let's call it Action 6). Then, Claire and Bob switch partners (let's call it Action 7). Then, Bob and Claire switch partners (let's call it Action 8). Then, Claire and Dave switch partners (let's call it Action 9). Then, Claire and Fred switch partners (let's call it Action 10). Then, Fred and Claire switch partners (let's call it Action 11). Then, nothing happens for a while. Then, Eve and Dave switch partners (let's call it Action 12). Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners (let's call it Action 13). Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners (let's call it Action 14). Then, Eve and Alice switch partners (let's call it Action 15). Then, Action 5 repeats. Then, Fred and Alice switch partners (let's call it Action 16). Then, Fred and Alice discuss something (let's call it Action 17). Then, Fred and Alice switch partners. Then, Action 3 repeats. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners (let's call it Action 18). Then, Alice and Claire discuss something (let's call it Action 19). Then, Action 18 repeats. Then, Fred and Dave switch partners (let's call it Action 20). Then, Fred and Dave discuss something (let's call it Action 21). Then, Action 20 repeats. Then, Gertrude and Fred switch partners (let's call it Action 22). Then, Fred and Gertrude switch partners (let's call it Action 23). Then, Dave and Claire switch partners. Then, Claire and Alice switch partners (let's call it Action 24). Then, Alice and Claire switch partners. Then, Action 9 repeats. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Dave and Gertrude switch partners (let's call it Action 25). Then, Dave and Gertrude discuss something (let's call it Action 26). Then, Action 25 repeats. Then, Fred and Bob switch partners (let's call it Action 27). Then, Bob and Fred switch partners (let's call it Action 28). Then, Action 5 repeats. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners (let's call it Action 29). Then, Fred and Gertrude switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Gertrude and Bob switch partners (let's call it Action 30). Then, Bob and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Action 26 repeats. Then, Dave and Gertrude switch partners. Then, Action 5 repeats. Then, nothing happens for a while. Then, Action 14 repeats. Then, Eve and Bob switch partners (let's call it Action 31). Then, Bob and Eve switch partners (let's call it Action 32). Then, Eve and Alice switch partners. Then, Action 6 repeats. Then, Action 9 repeats. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 33). Then, Action 7 repeats. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something (let's call it Action 34). Then, Action 8 repeats. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something (let's call it Action 35). Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something (let's call it Action 36). Then, Claire and Alice switch partners. Then, Action 28 repeats. Then, Bob and Fred discuss something (let's call it Action 37). Then, Action 28 repeats. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 12 repeats. Then, Action 32 repeats. Then, Bob and Eve discuss something (let's call it Action 38). Then, Action 32 repeats. Then, Gertrude and Eve switch partners (let's call it Action 39). Then, Eve and Gertrude switch partners (let's call it Action 40). Then, Claire and Fred switch partners. Then, Action 11 repeats. Then, Action 14 repeats. Then, Eve and Alice switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 41). Then, Eve and Alice switch partners. Then, Bob and Alice switch partners (let's call it Action 42). Then, Alice and Bob switch partners (let's call it Action 43). Then, Claire and Dave switch partners. Then, Dave and Bob switch partners (let's call it Action 44). Then, Bob and Dave switch partners (let's call it Action 45). Then, Dave and Claire switch partners. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Alice switch partners. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Fred switch partners (let's call it Action 46). Then, Eve and Fred discuss something (let's call it Action 47). Then, Action 46 repeats. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Action 6 repeats. Then, Dave and Fred switch partners. Then, Action 20 repeats. Then, Action 5 repeats. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Gertrude and Dave switch partners (let's call it Action 48). Then, Dave and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something (let's call it Action 49). Then, Fred and Gertrude switch partners. Then, Alice and Fred switch partners (let's call it Action 50). Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Action 24 repeats. Then, Action 18 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something (let's call it Action 51). Then, Gertrude and Fred switch partners. Then, Dave and Alice switch partners (let's call it Action 52). Then, Alice and Dave switch partners (let's call it Action 53). Then, Dave and Gertrude switch partners. Then, Action 48 repeats. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 54). Then, Action 13 repeats. Then, Fred and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 10 repeats. Then, Fred and Alice switch partners. Then, Action 23 repeats. Then, Gertrude and Fred switch partners. Then, Action 13 repeats. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners (let's call it Action 55). Then, Action 12 repeats. Then, Fred and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Action 29 repeats. Then, Action 42 repeats. Then, Bob and Alice discuss something (let's call it Action 56). Then, Bob and Alice switch partners. Then, Action 52 repeats. Then, Alice and Gertrude switch partners (let's call it Action 57). Then, Gertrude and Alice switch partners (let's call it Action 58). Then, Action 53 repeats. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something (let's call it Action 59). Then, Gertrude and Bob switch partners. Then, Action 46 repeats. Then, Action 20 repeats. Then, Dave and Fred switch partners. Then, Action 55 repeats. Then, Eve and Dave switch partners. Then, Action 13 repeats. Then, Action 5 repeats. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Action 35 repeats. Then, Alice and Eve switch partners. Then, Action 15 repeats. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Action 8 repeats. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Action 1 repeats. Then, Action 30 repeats. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 60). Then, Dave and Bob switch partners. Then, Eve and Claire switch partners (let's call it Action 61). Then, Eve and Claire discuss something (let's call it Action 62). Then, Eve and Claire switch partners. Then, Eve and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Action 32 repeats. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 63). Then, Eve and Gertrude switch partners. Then, Action 5 repeats. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 64). Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Action 6 repeats. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Action 4 repeats. Then, Claire and Bob switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Action 5 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Action 23 repeats. Then, Gertrude and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Action 59 repeats. Then, Gertrude and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Action 28 repeats. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Action 58 repeats. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Action 14 repeats. Then, nothing happens for a while. Then, Action 5 repeats. Then, Claire and Eve switch partners (let's call it Action 65). Then, Claire and Eve discuss something (let's call it Action 66). Then, Claire and Eve switch partners. Then, Action 8 repeats. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Action 55 repeats. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 43 repeats. Then, Alice and Bob discuss something (let's call it Action 67). Then, Action 43 repeats. Then, Action 58 repeats. Then, Gertrude and Alice discuss something (let's call it Action 68). Then, Action 58 repeats. Then, Action 4 repeats. Then, Gertrude and Claire discuss something (let's call it Action 69). Then, Action 4 repeats. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Action 39 repeats. Then, Action 40 repeats. Then, Action 48 repeats. Then, Action 42 repeats. Then, Bob and Alice discuss something. Then, Action 42 repeats. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Eve switch partners. Then, Action 61 repeats. Then, Action 65 repeats. Then, Eve and Dave switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 70). Then, Eve and Dave switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something (let's call it Action 71). Then, Action 10 repeats. Then, Claire and Alice switch partners. Then, Action 14 repeats. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Action 5 repeats. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 10 repeats. Then, Claire and Fred discuss something. Then, Action 10 repeats. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Action 8 repeats. Then, Action 65 repeats. Then, Action 42 repeats. Then, Action 56 repeats. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Action 11 repeats. Then, Fred and Claire discuss something (let's call it Action 72). Then, Action 11 repeats. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Alice and Dave switch partners. Then, Claire and Alice switch partners. Finally, Alice and Dave switch partners. At the end of the dance, Gertrude is dancing with\nOptions:\n(A) Patrick\n(B) Lola\n(C) Izzi\n(D) Rodrigo\n(E) Helga\n(F) Sam\n(G) Melissa",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "026301ee6f13a41097aed7d270289f6ebdbbc4a2c42e4033c13617513fc65c4e",
    "id": "bbeh:shuffled_objects:047",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Rodrigo, Claire is dancing with Karl, Dave is dancing with Ophelia, Eve is dancing with Lola, Fred is dancing with Jamie, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Alice and Eve switch partners. Then, Alice and Eve switch partners (let's call it Action 1). Then, Eve and Bob switch partners (let's call it Action 2). Then, Bob and Eve switch partners (let's call it Action 3). Then, Eve and Alice switch partners (let's call it Action 4). Then, Fred and Gertrude switch partners (let's call it Action 5). Then, Fred and Gertrude discuss something (let's call it Action 6). Then, Fred and Gertrude switch partners. Then, nothing happens for a while (let's call it Action 7). Then, nothing happens for a while. Then, Dave and Alice switch partners (let's call it Action 8). Then, Dave and Alice discuss something (let's call it Action 9). Then, Dave and Alice switch partners. Then, Alice and Fred switch partners (let's call it Action 10). Then, Fred and Alice switch partners (let's call it Action 11). Then, Gertrude and Dave switch partners (let's call it Action 12). Then, Gertrude and Dave discuss something (let's call it Action 13). Then, Gertrude and Dave switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Alice and Dave switch partners (let's call it Action 14). Then, Dave and Alice switch partners. Then, Gertrude and Fred switch partners (let's call it Action 15). Then, Fred and Eve switch partners (let's call it Action 16). Then, Eve and Fred switch partners (let's call it Action 17). Then, Fred and Gertrude switch partners. Then, Bob and Fred switch partners (let's call it Action 18). Then, Fred and Bob switch partners (let's call it Action 19). Then, nothing happens for a while. Then, Dave and Fred switch partners (let's call it Action 20). Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners (let's call it Action 21). Then, Action 19 repeats. Then, Bob and Gertrude switch partners (let's call it Action 22). Then, Gertrude and Bob switch partners (let's call it Action 23). Then, Bob and Fred switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something (let's call it Action 24). Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners (let's call it Action 25). Then, Claire and Fred switch partners (let's call it Action 26). Then, Fred and Claire switch partners (let's call it Action 27). Then, Claire and Gertrude switch partners (let's call it Action 28). Then, Bob and Eve switch partners. Then, Bob and Eve discuss something (let's call it Action 29). Then, Bob and Eve switch partners. Then, Bob and Claire switch partners (let's call it Action 30). Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners (let's call it Action 31). Then, Action 7 repeats. Then, Action 26 repeats. Then, Claire and Fred discuss something (let's call it Action 32). Then, Claire and Fred switch partners. Then, Action 7 repeats. Then, Action 15 repeats. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Alice and Gertrude switch partners (let's call it Action 33). Then, Gertrude and Alice switch partners (let's call it Action 34). Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Action 18 repeats. Then, Dave and Claire switch partners (let's call it Action 35). Then, Claire and Dave switch partners (let's call it Action 36). Then, Action 31 repeats. Then, Claire and Bob discuss something (let's call it Action 37). Then, Action 31 repeats. Then, Action 31 repeats. Then, Action 3 repeats. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 38). Then, Fred and Eve switch partners. Then, Action 36 repeats. Then, Claire and Dave discuss something (let's call it Action 39). Then, Claire and Dave switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Fred switch partners. Then, Dave and Fred switch partners. Then, Action 27 repeats. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Alice and Bob switch partners (let's call it Action 40). Then, Bob and Dave switch partners (let's call it Action 41). Then, Dave and Bob switch partners (let's call it Action 42). Then, Bob and Alice switch partners (let's call it Action 43). Then, Action 14 repeats. Then, Dave and Eve switch partners (let's call it Action 44). Then, Eve and Dave switch partners (let's call it Action 45). Then, Dave and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Action 19 repeats. Then, Bob and Fred switch partners. Then, Action 5 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 7 repeats. Then, Action 7 repeats. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Action 14 repeats. Then, Dave and Alice switch partners. Then, Claire and Eve switch partners (let's call it Action 46). Then, Action 2 repeats. Then, Bob and Eve switch partners. Then, Eve and Claire switch partners (let's call it Action 47). Then, Action 42 repeats. Then, Action 3 repeats. Then, Eve and Bob switch partners. Then, Action 41 repeats. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, Action 45 repeats. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners (let's call it Action 48). Then, Gertrude and Eve switch partners (let's call it Action 49). Then, Eve and Fred switch partners. Then, Action 40 repeats. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Action 7 repeats. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something (let's call it Action 50). Then, Eve and Bob switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 51). Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 52). Then, Dave and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 17 repeats. Then, Fred and Eve switch partners. Then, Action 2 repeats. Then, Fred and Bob switch partners. Then, Action 18 repeats. Then, Fred and Gertrude switch partners. Then, Action 6 repeats. Then, Fred and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something (let's call it Action 53). Then, Alice and Dave switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something (let's call it Action 54). Then, Action 49 repeats. Then, Alice and Gertrude switch partners. Then, Action 34 repeats. Then, Action 43 repeats. Then, Bob and Alice discuss something (let's call it Action 55). Then, Action 43 repeats. Then, Fred and Gertrude switch partners. Then, Action 6 repeats. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Action 41 repeats. Then, Dave and Fred switch partners. Then, Action 21 repeats. Then, Action 42 repeats. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Action 7 repeats. Then, Alice and Eve switch partners. Then, Action 48 repeats. Then, Action 49 repeats. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 56). Then, Action 40 repeats. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something (let's call it Action 57). Then, Action 23 repeats. Then, Eve and Fred switch partners. Then, Action 5 repeats. Then, Gertrude and Fred switch partners. Then, Fred and Eve switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Action 42 repeats. Then, Action 52 repeats. Then, Dave and Bob switch partners. Then, Action 27 repeats. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 5 repeats. Then, Gertrude and Fred switch partners. Then, Action 20 repeats. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Dave and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 58). Then, Eve and Gertrude switch partners. Then, Action 23 repeats. Then, Action 57 repeats. Then, Gertrude and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something (let's call it Action 59). Then, Action 33 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Action 54 repeats. Then, Gertrude and Eve switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Claire and Alice switch partners (let's call it Action 60). Then, Alice and Dave switch partners. Then, Action 8 repeats. Then, Alice and Claire switch partners (let's call it Action 61). Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Action 3 repeats. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Action 35 repeats. Then, Action 36 repeats. Then, Dave and Gertrude switch partners (let's call it Action 62). Then, Action 7 repeats. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Action 31 repeats. Then, Bob and Fred switch partners. Then, Action 19 repeats. Then, Bob and Claire switch partners. Then, Action 7 repeats. Then, Bob and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something (let's call it Action 63). Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 4 repeats. Then, Action 30 repeats. Then, Claire and Bob switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 3 repeats. Then, Eve and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 61 repeats. Then, Claire and Bob switch partners. Then, Action 41 repeats. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Claire and Alice switch partners. Then, Action 33 repeats. Then, Gertrude and Alice switch partners. Then, Action 61 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Action 34 repeats. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something (let's call it Action 64). Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Action 4 repeats. Then, Alice and Fred switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 65). Then, Eve and Dave switch partners. Then, Action 61 repeats. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 33 repeats. Then, Action 59 repeats. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Action 13 repeats. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Action 18 repeats. Then, Action 19 repeats. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Alice and Bob switch partners. Finally, Fred and Bob switch partners. At the end of the dance, Gertrude is dancing with\nOptions:\n(A) Melissa\n(B) Rodrigo\n(C) Karl\n(D) Ophelia\n(E) Lola\n(F) Jamie\n(G) Patrick",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "e91d65dffed04ef7dec259dab70631ecfe6d23917cc65fcf9acafe9385106c9c",
    "id": "bbeh:shuffled_objects:052",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Izzi, Bob is dancing with Jamie, Claire is dancing with Ophelia, Dave is dancing with Rodrigo, Eve is dancing with Patrick, Fred is dancing with Sam, and Gertrude is dancing with Lola.\nThroughout the song, the dancers often trade partners. First, Eve and Claire switch partners. Then, nothing happens for a while (let's call it Action 1). Then, Alice and Dave switch partners (let's call it Action 2). Then, Dave and Eve switch partners (let's call it Action 3). Then, Eve and Dave switch partners (let's call it Action 4). Then, Dave and Alice switch partners (let's call it Action 5). Then, Claire and Fred switch partners (let's call it Action 6). Then, Fred and Claire switch partners (let's call it Action 7). Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude switch partners (let's call it Action 8). Then, Gertrude and Bob switch partners (let's call it Action 9). Then, Claire and Gertrude switch partners (let's call it Action 10). Then, Gertrude and Alice switch partners (let's call it Action 11). Then, Alice and Gertrude switch partners (let's call it Action 12). Then, Gertrude and Claire switch partners (let's call it Action 13). Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners (let's call it Action 14). Then, Fred and Eve discuss something (let's call it Action 15). Then, Fred and Eve switch partners. Then, Action 1 repeats. Then, Gertrude and Eve switch partners (let's call it Action 16). Then, Eve and Fred switch partners (let's call it Action 17). Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners (let's call it Action 18). Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Action 1 repeats. Then, Eve and Bob switch partners (let's call it Action 19). Then, Eve and Bob discuss something (let's call it Action 20). Then, Eve and Bob switch partners. Then, Fred and Bob switch partners (let's call it Action 21). Then, Bob and Fred switch partners (let's call it Action 22). Then, Alice and Fred switch partners (let's call it Action 23). Then, Fred and Alice switch partners (let's call it Action 24). Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Eve switch partners (let's call it Action 25). Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Alice switch partners (let's call it Action 26). Then, Bob and Claire switch partners (let's call it Action 27). Then, Bob and Claire discuss something (let's call it Action 28). Then, Action 27 repeats. Then, Claire and Dave switch partners (let's call it Action 29). Then, Claire and Dave discuss something (let's call it Action 30). Then, Claire and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Dave and Gertrude switch partners (let's call it Action 31). Then, Dave and Gertrude discuss something (let's call it Action 32). Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners (let's call it Action 33). Then, Action 4 repeats. Then, Eve and Dave discuss something (let's call it Action 34). Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Action 11 repeats. Then, Alice and Gertrude switch partners. Then, Action 23 repeats. Then, Fred and Alice switch partners. Then, Bob and Dave switch partners (let's call it Action 35). Then, Dave and Bob switch partners (let's call it Action 36). Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Action 7 repeats. Then, Fred and Claire discuss something (let's call it Action 37). Then, Fred and Claire switch partners. Then, Fred and Gertrude switch partners (let's call it Action 38). Then, Action 1 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Fred switch partners (let's call it Action 39). Then, Fred and Gertrude switch partners. Then, Action 16 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 9 repeats. Then, Action 35 repeats. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Claire and Eve switch partners (let's call it Action 40). Then, Claire and Eve discuss something (let's call it Action 41). Then, Claire and Eve switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners (let's call it Action 42). Then, Gertrude and Dave discuss something (let's call it Action 43). Then, Gertrude and Dave switch partners. Then, Bob and Eve switch partners (let's call it Action 44). Then, Action 18 repeats. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 1 repeats. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners (let's call it Action 45). Then, Action 4 repeats. Then, Dave and Eve switch partners. Then, Action 21 repeats. Then, Fred and Bob discuss something (let's call it Action 46). Then, Fred and Bob switch partners. Then, Dave and Fred switch partners (let's call it Action 47). Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners (let's call it Action 48). Then, Fred and Alice switch partners. Then, Fred and Alice discuss something (let's call it Action 49). Then, Fred and Alice switch partners. Then, Action 8 repeats. Then, Gertrude and Bob switch partners. Then, Claire and Alice switch partners (let's call it Action 50). Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners (let's call it Action 51). Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Alice and Bob switch partners (let's call it Action 52). Then, Alice and Bob discuss something (let's call it Action 53). Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 29 repeats. Then, Claire and Dave discuss something. Then, Action 29 repeats. Then, Action 33 repeats. Then, Claire and Dave switch partners. Then, Eve and Bob switch partners. Then, Action 3 repeats. Then, Eve and Dave switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Action 1 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 11 repeats. Then, Action 5 repeats. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 2 repeats. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 54). Then, Action 36 repeats. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Eve and Dave switch partners. Then, Dave and Bob switch partners. Then, Action 35 repeats. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 40 repeats. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 1 repeats. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Action 25 repeats. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners (let's call it Action 55). Then, Claire and Bob discuss something (let's call it Action 56). Then, Claire and Bob switch partners. Then, Action 17 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 9 repeats. Then, Bob and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners (let's call it Action 57). Then, Bob and Alice discuss something (let's call it Action 58). Then, Action 57 repeats. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 59). Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something (let's call it Action 60). Then, Alice and Eve switch partners. Then, Action 10 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Eve switch partners. Then, Action 17 repeats. Then, Fred and Eve switch partners. Then, Action 45 repeats. Then, Action 45 repeats. Then, Eve and Claire discuss something (let's call it Action 61). Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Action 1 repeats. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something (let's call it Action 62). Then, Action 51 repeats. Then, Action 10 repeats. Then, Gertrude and Claire switch partners. Then, Action 23 repeats. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Action 13 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something (let's call it Action 63). Then, Gertrude and Bob switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Action 42 repeats. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something (let's call it Action 64). Then, Claire and Fred switch partners. Then, Action 39 repeats. Then, Fred and Gertrude switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something (let's call it Action 65). Then, Action 17 repeats. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something (let's call it Action 66). Then, Gertrude and Fred switch partners. Then, Action 36 repeats. Then, Bob and Dave switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Action 46 repeats. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 14 repeats. Then, Eve and Fred switch partners. Then, Action 21 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something (let's call it Action 67). Then, Dave and Fred switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something (let's call it Action 68). Then, Gertrude and Alice switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 69). Then, Dave and Claire switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 1 repeats. Then, Dave and Bob switch partners. Then, Dave and Eve switch partners. Finally, Alice and Dave switch partners. At the end of the dance, Gertrude is dancing with\nOptions:\n(A) Izzi\n(B) Jamie\n(C) Ophelia\n(D) Rodrigo\n(E) Patrick\n(F) Sam\n(G) Lola",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "e1d46d278dcc3ef979501767728a830d42e8ce1ff2fdf9b777de97cea3e95336",
    "id": "bbeh:shuffled_objects:054",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing striker, Bob is playing right winger, Claire is playing center midfielder, Dave is playing cheerleader, Eve is playing right midfielder, Fred is playing left winger, and Gertrude is playing left midfielder.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Eve trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Bob and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Gertrude and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Claire and Alice trade positions. Then, Bob and Alice trade positions. Finally, Gertrude and Eve trade positions. At the end of the match, Bob is playing\nOptions:\n(A) striker\n(B) right winger\n(C) center midfielder\n(D) cheerleader\n(E) right midfielder\n(F) left winger\n(G) left midfielder",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "c5de53a6496ceb92024a07f6d338ef25d9169f16c240f8e5a4afebd480d8fbce",
    "id": "bbeh:shuffled_objects:055",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Ophelia, Claire is dancing with Patrick, Dave is dancing with Jamie, Eve is dancing with Lola, Fred is dancing with Helga, and Gertrude is dancing with Izzi.\nThroughout the song, the dancers often trade partners. First, Alice and Fred switch partners. Then, Eve and Dave switch partners (let's call it Action 1). Then, Dave and Gertrude switch partners (let's call it Action 2). Then, Gertrude and Dave switch partners (let's call it Action 3). Then, Dave and Eve switch partners (let's call it Action 4). Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 5). Then, Eve and Dave switch partners. Then, Bob and Eve switch partners (let's call it Action 6). Then, Bob and Eve discuss something (let's call it Action 7). Then, Bob and Eve switch partners. Then, nothing happens for a while (let's call it Action 8). Then, Gertrude and Fred switch partners (let's call it Action 9). Then, Gertrude and Fred discuss something (let's call it Action 10). Then, Gertrude and Fred switch partners. Then, Bob and Gertrude switch partners (let's call it Action 11). Then, Gertrude and Bob switch partners (let's call it Action 12). Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude switch partners (let's call it Action 13). Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners (let's call it Action 14). Then, Eve and Dave switch partners. Then, Dave and Bob switch partners (let's call it Action 15). Then, Bob and Dave switch partners (let's call it Action 16). Then, Dave and Eve switch partners. Then, Claire and Alice switch partners (let's call it Action 17). Then, Claire and Alice discuss something (let's call it Action 18). Then, Claire and Alice switch partners. Then, Eve and Fred switch partners (let's call it Action 19). Then, Fred and Eve switch partners (let's call it Action 20). Then, Eve and Claire switch partners (let's call it Action 21). Then, Eve and Claire discuss something (let's call it Action 22). Then, Eve and Claire switch partners. Then, Dave and Alice switch partners (let's call it Action 23). Then, Dave and Alice discuss something (let's call it Action 24). Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire switch partners (let's call it Action 25). Then, Dave and Claire discuss something (let's call it Action 26). Then, Dave and Claire switch partners. Then, Fred and Alice switch partners (let's call it Action 27). Then, Fred and Alice discuss something (let's call it Action 28). Then, Action 27 repeats. Then, Claire and Eve switch partners (let's call it Action 29). Then, Claire and Eve discuss something (let's call it Action 30). Then, Claire and Eve switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners (let's call it Action 31). Then, Dave and Alice switch partners. Then, Alice and Claire switch partners (let's call it Action 32). Then, Action 8 repeats. Then, Action 8 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners (let's call it Action 33). Then, Bob and Alice switch partners (let's call it Action 34). Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners (let's call it Action 35). Then, Dave and Fred switch partners (let's call it Action 36). Then, Eve and Claire switch partners. Then, Claire and Fred switch partners (let's call it Action 37). Then, Fred and Claire switch partners (let's call it Action 38). Then, Claire and Eve switch partners. Then, Action 17 repeats. Then, Alice and Fred switch partners (let's call it Action 39). Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Alice and Eve switch partners (let's call it Action 40). Then, Eve and Alice switch partners (let's call it Action 41). Then, Bob and Fred switch partners (let's call it Action 42). Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners (let's call it Action 43). Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something (let's call it Action 44). Then, Action 14 repeats. Then, Action 32 repeats. Then, Alice and Claire discuss something (let's call it Action 45). Then, Alice and Claire switch partners. Then, Gertrude and Eve switch partners (let's call it Action 46). Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Action 3 repeats. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 38 repeats. Then, Claire and Bob switch partners (let's call it Action 47). Then, Bob and Claire switch partners (let's call it Action 48). Then, Claire and Fred switch partners. Then, Gertrude and Claire switch partners (let's call it Action 49). Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners (let's call it Action 50). Then, Claire and Fred switch partners. Then, Action 43 repeats. Then, Bob and Fred switch partners. Then, Action 38 repeats. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Action 19 repeats. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners (let's call it Action 51). Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Fred switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something (let's call it Action 52). Then, Action 37 repeats. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Action 43 repeats. Then, nothing happens for a while. Then, Action 49 repeats. Then, Action 17 repeats. Then, Action 32 repeats. Then, Claire and Gertrude switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Action 27 repeats. Then, Alice and Fred switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something (let's call it Action 53). Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 54). Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Action 21 repeats. Then, Eve and Claire discuss something. Then, Action 21 repeats. Then, Action 2 repeats. Then, Action 46 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Action 8 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 42 repeats. Then, Fred and Bob switch partners. Then, Fred and Eve switch partners. Then, Action 1 repeats. Then, Dave and Eve switch partners. Then, Action 19 repeats. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 55). Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Action 13 repeats. Then, Gertrude and Alice switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Action 3 repeats. Then, Dave and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something (let's call it Action 56). Then, Action 31 repeats. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners (let's call it Action 57). Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Action 51 repeats. Then, Eve and Alice switch partners. Then, Alice and Dave switch partners. Then, Action 23 repeats. Then, Alice and Eve switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Action 17 repeats. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 58). Then, Eve and Gertrude switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Action 12 repeats. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, Action 8 repeats. Then, Fred and Claire switch partners. Then, Action 47 repeats. Then, Bob and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Alice switch partners. Then, Action 18 repeats. Then, Action 17 repeats. Then, Action 13 repeats. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Bob and Alice switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Action 8 repeats. Then, Dave and Gertrude switch partners. Then, Action 3 repeats. Then, Action 43 repeats. Then, Fred and Bob discuss something (let's call it Action 59). Then, Fred and Bob switch partners. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Action 41 repeats. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Action 47 repeats. Then, Action 25 repeats. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Action 37 repeats. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners (let's call it Action 60). Then, Action 12 repeats. Then, Bob and Gertrude switch partners. Then, Action 46 repeats. Then, Gertrude and Eve discuss something (let's call it Action 61). Then, Gertrude and Eve switch partners. Then, Action 2 repeats. Then, Action 46 repeats. Then, Action 51 repeats. Then, Gertrude and Dave switch partners. Then, Action 8 repeats. Then, Action 31 repeats. Then, Action 4 repeats. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 42 repeats. Then, Fred and Alice switch partners. Then, Action 39 repeats. Then, Fred and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 47 repeats. Then, Bob and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something (let's call it Action 62). Then, Gertrude and Bob switch partners. Then, Action 42 repeats. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something (let's call it Action 63). Then, Bob and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 29 repeats. Then, Action 19 repeats. Then, Fred and Eve switch partners. Then, Action 21 repeats. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Action 29 repeats. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Action 13 repeats. Then, Action 8 repeats. Then, Action 8 repeats. Then, Fred and Gertrude switch partners (let's call it Action 64). Then, Gertrude and Fred switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Action 48 repeats. Then, Action 37 repeats. Then, Action 39 repeats. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Action 46 repeats. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 41 repeats. Then, Eve and Alice discuss something (let's call it Action 65). Then, Eve and Alice switch partners. Then, Bob and Claire switch partners. Then, Action 29 repeats. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 66). Then, Action 33 repeats. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Eve and Alice switch partners. Finally, Eve and Claire switch partners. At the end of the dance, Alice is dancing with\nOptions:\n(A) Melissa\n(B) Ophelia\n(C) Patrick\n(D) Jamie\n(E) Lola\n(F) Helga\n(G) Izzi",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "31e3552cc0bf054c8196c0f2f5b535b6c81604646be5f086de94b197e07ca499",
    "id": "bbeh:shuffled_objects:060",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a brown present, Bob has a green present, Claire has a red present, Dave has a black ball, Eve has a blue present, Fred has a purple present, and Gertrude has a pink ball.\nAs the event progresses, pairs of people swap gifts. First, Dave and Eve swap their gifts. Then, Gertrude and Claire swap their gifts (let's call it Action 1). Then, Claire and Eve swap their gifts (let's call it Action 2). Then, Eve and Claire swap their gifts (let's call it Action 3). Then, Claire and Gertrude swap their gifts (let's call it Action 4). Then, nothing happens for a while (let's call it Action 5). Then, nothing happens for a while. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 6). Then, Claire and Bob discuss something (let's call it Action 7). Then, Claire and Bob swap their gifts. Then, Eve and Alice swap their gifts (let's call it Action 8). Then, Eve and Alice discuss something (let's call it Action 9). Then, Action 8 repeats. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Gertrude and Alice swap their gifts (let's call it Action 10). Then, Alice and Gertrude swap their gifts (let's call it Action 11). Then, Dave and Bob swap their gifts (let's call it Action 12). Then, Bob and Dave swap their gifts (let's call it Action 13). Then, nothing happens for a while. Then, Fred and Dave swap their gifts (let's call it Action 14). Then, Dave and Fred swap their gifts (let's call it Action 15). Then, Bob and Eve swap their gifts (let's call it Action 16). Then, Bob and Eve discuss something (let's call it Action 17). Then, Bob and Eve swap their gifts. Then, Bob and Gertrude swap their gifts (let's call it Action 18). Then, Gertrude and Dave swap their gifts (let's call it Action 19). Then, Dave and Gertrude swap their gifts (let's call it Action 20). Then, Gertrude and Bob swap their gifts (let's call it Action 21). Then, Action 6 repeats. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Alice and Eve swap their gifts (let's call it Action 22). Then, Eve and Alice swap their gifts. Then, Eve and Bob swap their gifts (let's call it Action 23). Then, Eve and Bob discuss something (let's call it Action 24). Then, Eve and Bob swap their gifts. Then, Action 5 repeats. Then, Action 15 repeats. Then, Dave and Fred discuss something (let's call it Action 25). Then, Dave and Fred swap their gifts. Then, Claire and Alice swap their gifts (let's call it Action 26). Then, Claire and Alice discuss something (let's call it Action 27). Then, Claire and Alice swap their gifts. Then, Action 23 repeats. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Action 11 repeats. Then, Gertrude and Fred swap their gifts (let's call it Action 28). Then, Fred and Gertrude swap their gifts (let's call it Action 29). Then, Gertrude and Dave swap their gifts. Then, Action 20 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Action 10 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Fred swap their gifts (let's call it Action 30). Then, Fred and Bob swap their gifts (let's call it Action 31). Then, Fred and Eve swap their gifts (let's call it Action 32). Then, Fred and Eve discuss something (let's call it Action 33). Then, Fred and Eve swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts (let's call it Action 34). Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Alice swap their gifts (let's call it Action 35). Then, Fred and Alice discuss something (let's call it Action 36). Then, Action 35 repeats. Then, Action 31 repeats. Then, Bob and Fred swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 37). Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts (let's call it Action 38). Then, Action 26 repeats. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts (let's call it Action 39). Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something (let's call it Action 40). Then, Fred and Dave swap their gifts. Then, Bob and Alice swap their gifts (let's call it Action 41). Then, Alice and Bob swap their gifts (let's call it Action 42). Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Action 16 repeats. Then, Action 23 repeats. Then, Alice and Claire swap their gifts. Then, Action 5 repeats. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something. Then, Action 32 repeats. Then, Action 37 repeats. Then, Eve and Gertrude discuss something (let's call it Action 43). Then, Action 37 repeats. Then, Claire and Gertrude swap their gifts. Then, Action 21 repeats. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Dave and Alice swap their gifts (let's call it Action 44). Then, Alice and Dave swap their gifts (let's call it Action 45). Then, Claire and Dave swap their gifts (let's call it Action 46). Then, Claire and Dave discuss something (let's call it Action 47). Then, Claire and Dave swap their gifts. Then, Alice and Claire swap their gifts. Then, Action 2 repeats. Then, Eve and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Dave and Eve swap their gifts (let's call it Action 48). Then, Dave and Eve discuss something (let's call it Action 49). Then, Action 48 repeats. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Action 18 repeats. Then, Action 22 repeats. Then, Action 8 repeats. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts (let's call it Action 50). Then, Claire and Gertrude swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 31 repeats. Then, Bob and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Fred swap their gifts. Then, Action 31 repeats. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something (let's call it Action 51). Then, Action 39 repeats. Then, Action 32 repeats. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts (let's call it Action 52). Then, Action 4 repeats. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts (let's call it Action 53). Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave swap their gifts (let's call it Action 54). Then, Eve and Dave discuss something (let's call it Action 55). Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something (let's call it Action 56). Then, Action 45 repeats. Then, Dave and Claire swap their gifts. Then, Action 26 repeats. Then, Alice and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something (let's call it Action 57). Then, Fred and Gertrude swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something. Then, Fred and Eve swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 28 repeats. Then, Fred and Gertrude swap their gifts. Then, Action 10 repeats. Then, Dave and Claire swap their gifts. Then, Dave and Claire discuss something (let's call it Action 58). Then, Action 50 repeats. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something (let's call it Action 59). Then, Dave and Bob swap their gifts. Then, Action 31 repeats. Then, Fred and Bob discuss something (let's call it Action 60). Then, Fred and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Bob and Claire swap their gifts (let's call it Action 61). Then, Fred and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 42 repeats. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Action 60 repeats. Then, Fred and Bob swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Fred swap their gifts (let's call it Action 62). Then, nothing happens for a while. Then, Action 11 repeats. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Action 44 repeats. Then, Action 11 repeats. Then, Gertrude and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something (let's call it Action 63). Then, Action 41 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Action 44 repeats. Then, Action 5 repeats. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something (let's call it Action 64). Then, Action 1 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Action 8 repeats. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Action 22 repeats. Then, Eve and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something (let's call it Action 65). Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something (let's call it Action 66). Then, Bob and Fred swap their gifts. Then, Alice and Claire swap their gifts. Then, Action 53 repeats. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Action 2 repeats. Then, Eve and Fred swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something (let's call it Action 67). Then, Alice and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 4 repeats. Then, Bob and Gertrude swap their gifts. Finally, Fred and Alice swap their gifts. At the end of the event, Fred has the\nOptions:\n(A) brown present\n(B) green present\n(C) red present\n(D) black ball\n(E) blue present\n(F) purple present\n(G) pink ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "47a8d9c9b090a6282b6333edf84fb80988b023cef7d8eb2cd5f87d1b87c3017c",
    "id": "bbeh:shuffled_objects:061",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Sam, Claire is dancing with Jamie, Dave is dancing with Izzi, Eve is dancing with Lola, Fred is dancing with Rodrigo, and Gertrude is dancing with Ophelia.\nThroughout the song, the dancers often trade partners. First, Gertrude and Alice switch partners. Then, Claire and Fred switch partners (let's call it Action 1). Then, Claire and Fred discuss something (let's call it Action 2). Then, Claire and Fred switch partners. Then, Alice and Bob switch partners (let's call it Action 3). Then, Alice and Bob discuss something (let's call it Action 4). Then, Alice and Bob switch partners. Then, nothing happens for a while (let's call it Action 5). Then, Bob and Fred switch partners (let's call it Action 6). Then, Fred and Bob switch partners (let's call it Action 7). Then, Gertrude and Alice switch partners (let's call it Action 8). Then, Gertrude and Alice discuss something (let's call it Action 9). Then, Gertrude and Alice switch partners. Then, Gertrude and Bob switch partners (let's call it Action 10). Then, Gertrude and Bob discuss something (let's call it Action 11). Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners (let's call it Action 12). Then, Eve and Bob discuss something (let's call it Action 13). Then, Eve and Bob switch partners. Then, Fred and Claire switch partners (let's call it Action 14). Then, Claire and Eve switch partners (let's call it Action 15). Then, Eve and Claire switch partners (let's call it Action 16). Then, Action 1 repeats. Then, Fred and Alice switch partners (let's call it Action 17). Then, Alice and Fred switch partners (let's call it Action 18). Then, Alice and Claire switch partners (let's call it Action 19). Then, Claire and Alice switch partners (let's call it Action 20). Then, Eve and Gertrude switch partners (let's call it Action 21). Then, Gertrude and Eve switch partners (let's call it Action 22). Then, Action 5 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners (let's call it Action 23). Then, Eve and Alice switch partners (let's call it Action 24). Then, Alice and Gertrude switch partners (let's call it Action 25). Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners (let's call it Action 26). Then, Gertrude and Claire switch partners (let's call it Action 27). Then, Claire and Eve switch partners. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Action 27 repeats. Then, Action 1 repeats. Then, Fred and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Action 5 repeats. Then, Bob and Claire switch partners (let's call it Action 28). Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners (let's call it Action 29). Then, Action 26 repeats. Then, Claire and Gertrude discuss something (let's call it Action 30). Then, Claire and Gertrude switch partners. Then, Bob and Gertrude switch partners (let's call it Action 31). Then, Bob and Gertrude discuss something (let's call it Action 32). Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners (let's call it Action 33). Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners (let's call it Action 34). Then, Bob and Alice switch partners (let's call it Action 35). Then, Bob and Alice discuss something (let's call it Action 36). Then, Bob and Alice switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners (let's call it Action 37). Then, Dave and Claire switch partners (let's call it Action 38). Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Gertrude and Dave switch partners (let's call it Action 39). Then, Dave and Gertrude switch partners (let's call it Action 40). Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Claire and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 37 repeats. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners (let's call it Action 41). Then, Dave and Bob switch partners (let's call it Action 42). Then, Bob and Fred switch partners. Then, Action 38 repeats. Then, Dave and Claire discuss something (let's call it Action 43). Then, Dave and Claire switch partners. Then, Action 33 repeats. Then, Action 17 repeats. Then, Alice and Fred switch partners. Then, Action 34 repeats. Then, nothing happens for a while. Then, Action 5 repeats. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Action 38 repeats. Then, Claire and Alice switch partners. Then, Dave and Claire switch partners. Then, Dave and Gertrude switch partners. Then, Action 10 repeats. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Action 41 repeats. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Action 26 repeats. Then, Alice and Claire switch partners. Then, Action 20 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Dave and Alice switch partners (let's call it Action 44). Then, Dave and Alice discuss something (let's call it Action 45). Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Dave and Fred switch partners (let's call it Action 46). Then, Fred and Dave switch partners (let's call it Action 47). Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something (let's call it Action 48). Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 7 repeats. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something (let's call it Action 49). Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Action 31 repeats. Then, Gertrude and Dave switch partners. Then, Action 33 repeats. Then, Fred and Gertrude switch partners. Then, Action 28 repeats. Then, Action 1 repeats. Then, Fred and Eve switch partners (let's call it Action 50). Then, Eve and Fred switch partners (let's call it Action 51). Then, Fred and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 29 repeats. Then, Bob and Gertrude switch partners. Then, Dave and Eve switch partners (let's call it Action 52). Then, Dave and Eve discuss something (let's call it Action 53). Then, Dave and Eve switch partners. Then, Bob and Claire switch partners. Then, Action 15 repeats. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Action 46 repeats. Then, Action 49 repeats. Then, Dave and Fred switch partners. Then, Action 12 repeats. Then, Bob and Eve switch partners (let's call it Action 54). Then, Gertrude and Bob switch partners. Then, Action 11 repeats. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 55). Then, Action 29 repeats. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something (let's call it Action 56). Then, Action 33 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Action 10 repeats. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something (let's call it Action 57). Then, Alice and Claire switch partners. Then, Action 41 repeats. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Action 10 repeats. Then, Action 52 repeats. Then, Eve and Dave switch partners (let's call it Action 58). Then, Action 12 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 20 repeats. Then, Claire and Alice discuss something (let's call it Action 59). Then, Action 20 repeats. Then, Alice and Dave switch partners (let's call it Action 60). Then, Alice and Dave discuss something (let's call it Action 61). Then, Action 60 repeats. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something (let's call it Action 62). Then, Action 17 repeats. Then, Action 23 repeats. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 54 repeats. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Action 27 repeats. Then, Claire and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 60 repeats. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something (let's call it Action 63). Then, Action 40 repeats. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Action 60 repeats. Then, Action 5 repeats. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 64). Then, Eve and Alice switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something (let's call it Action 65). Then, Gertrude and Dave switch partners. Then, Action 52 repeats. Then, Eve and Dave switch partners. Then, Action 8 repeats. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Action 19 repeats. Then, Action 42 repeats. Then, Action 31 repeats. Then, Action 10 repeats. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Action 8 repeats. Then, Alice and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Action 46 repeats. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something (let's call it Action 66). Then, Action 23 repeats. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Finally, Gertrude and Dave switch partners. At the end of the dance, Bob is dancing with\nOptions:\n(A) Melissa\n(B) Sam\n(C) Jamie\n(D) Izzi\n(E) Lola\n(F) Rodrigo\n(G) Ophelia",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "63312272a47b007df30ea962e774ba36b9b918ecc84dd2fd5701e8ac560b6a9b",
    "id": "bbeh:shuffled_objects:066",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a green present, Bob has a red present, Claire has a white present, Dave has a blue present, Eve has a yellow present, Fred has a black ball, and Gertrude has a purple present.\nAs the event progresses, pairs of people swap gifts. First, Bob and Alice swap their gifts. Then, Bob and Dave swap their gifts (let's call it Action 1). Then, Bob and Dave discuss something (let's call it Action 2). Then, Bob and Dave swap their gifts. Then, Bob and Fred swap their gifts (let's call it Action 3). Then, Fred and Gertrude swap their gifts (let's call it Action 4). Then, Gertrude and Fred swap their gifts (let's call it Action 5). Then, Fred and Bob swap their gifts (let's call it Action 6). Then, nothing happens for a while (let's call it Action 7). Then, Action 4 repeats. Then, Gertrude and Bob swap their gifts (let's call it Action 8). Then, Bob and Gertrude swap their gifts (let's call it Action 9). Then, Action 5 repeats. Then, Alice and Fred swap their gifts (let's call it Action 10). Then, Alice and Fred discuss something (let's call it Action 11). Then, Alice and Fred swap their gifts. Then, Gertrude and Alice swap their gifts (let's call it Action 12). Then, Gertrude and Alice discuss something (let's call it Action 13). Then, Gertrude and Alice swap their gifts. Then, Eve and Fred swap their gifts (let's call it Action 14). Then, Fred and Eve swap their gifts (let's call it Action 15). Then, Gertrude and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Action 3 repeats. Then, Action 4 repeats. Then, nothing happens for a while. Then, Fred and Claire swap their gifts (let's call it Action 16). Then, Claire and Fred swap their gifts (let's call it Action 17). Then, Claire and Bob swap their gifts (let's call it Action 18). Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts (let's call it Action 19). Then, Bob and Claire swap their gifts (let's call it Action 20). Then, Fred and Gertrude swap their gifts. Then, Action 5 repeats. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something (let's call it Action 21). Then, Action 5 repeats. Then, Claire and Gertrude swap their gifts (let's call it Action 22). Then, Gertrude and Eve swap their gifts (let's call it Action 23). Then, Eve and Gertrude swap their gifts (let's call it Action 24). Then, Gertrude and Claire swap their gifts (let's call it Action 25). Then, Eve and Dave swap their gifts (let's call it Action 26). Then, Eve and Dave discuss something (let's call it Action 27). Then, Action 26 repeats. Then, nothing happens for a while. Then, Bob and Alice swap their gifts (let's call it Action 28). Then, Alice and Bob swap their gifts (let's call it Action 29). Then, Action 1 repeats. Then, Dave and Fred swap their gifts (let's call it Action 30). Then, Fred and Dave swap their gifts (let's call it Action 31). Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts (let's call it Action 32). Then, Eve and Bob swap their gifts (let's call it Action 33). Then, Claire and Alice swap their gifts (let's call it Action 34). Then, Alice and Gertrude swap their gifts (let's call it Action 35). Then, Action 12 repeats. Then, Alice and Claire swap their gifts (let's call it Action 36). Then, nothing happens for a while. Then, Action 19 repeats. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Alice and Fred swap their gifts. Then, Action 4 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts (let's call it Action 37). Then, Dave and Alice swap their gifts (let's call it Action 38). Then, Action 7 repeats. Then, Alice and Fred swap their gifts. Then, Action 11 repeats. Then, Alice and Fred swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Gertrude swap their gifts (let's call it Action 39). Then, Gertrude and Dave swap their gifts (let's call it Action 40). Then, Dave and Eve swap their gifts (let's call it Action 41). Then, Dave and Fred swap their gifts. Then, Action 31 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 20 repeats. Then, Action 17 repeats. Then, Fred and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Action 15 repeats. Then, Fred and Eve discuss something (let's call it Action 42). Then, Fred and Eve swap their gifts. Then, Action 7 repeats. Then, Dave and Eve swap their gifts. Then, Action 24 repeats. Then, Gertrude and Eve swap their gifts. Then, Action 26 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Action 7 repeats. Then, Gertrude and Claire swap their gifts. Then, Action 22 repeats. Then, Dave and Claire swap their gifts (let's call it Action 43). Then, Action 34 repeats. Then, Alice and Claire swap their gifts. Then, Claire and Dave swap their gifts (let's call it Action 44). Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something (let's call it Action 45). Then, Action 4 repeats. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Action 8 repeats. Then, Action 20 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Action 33 repeats. Then, Bob and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Action 23 repeats. Then, Eve and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 12 repeats. Then, Alice and Dave swap their gifts (let's call it Action 46). Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Action 33 repeats. Then, Action 32 repeats. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something (let's call it Action 47). Then, Claire and Dave swap their gifts. Then, Eve and Alice swap their gifts (let's call it Action 48). Then, Eve and Alice discuss something (let's call it Action 49). Then, Eve and Alice swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 14 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Action 25 repeats. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something (let's call it Action 50). Then, Action 3 repeats. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something (let's call it Action 51). Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something (let's call it Action 52). Then, Bob and Alice swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 14 repeats. Then, Action 15 repeats. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 7 repeats. Then, nothing happens for a while. Then, Action 12 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Action 4 repeats. Then, Action 23 repeats. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Action 32 repeats. Then, Bob and Eve discuss something (let's call it Action 53). Then, Action 32 repeats. Then, Action 41 repeats. Then, Eve and Dave swap their gifts. Then, Action 17 repeats. Then, Claire and Fred discuss something (let's call it Action 54). Then, Claire and Fred swap their gifts. Then, Claire and Bob swap their gifts. Then, Action 20 repeats. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something (let's call it Action 55). Then, Action 18 repeats. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Dave and Claire swap their gifts. Then, Action 29 repeats. Then, Bob and Alice swap their gifts. Then, Action 7 repeats. Then, nothing happens for a while. Then, Action 7 repeats. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something (let's call it Action 56). Then, Claire and Gertrude swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something (let's call it Action 57). Then, Dave and Eve swap their gifts. Then, Action 4 repeats. Then, Action 5 repeats. Then, nothing happens for a while. Then, Action 19 repeats. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Action 1 repeats. Then, Alice and Eve swap their gifts (let's call it Action 58). Then, Action 26 repeats. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Action 29 repeats. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Action 28 repeats. Then, Bob and Alice swap their gifts. Then, Action 52 repeats. Then, Bob and Alice swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Action 51 repeats. Then, Gertrude and Bob swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 12 repeats. Then, Action 46 repeats. Then, nothing happens for a while. Then, Claire and Eve swap their gifts (let's call it Action 59). Then, Claire and Eve discuss something (let's call it Action 60). Then, Claire and Eve swap their gifts. Then, Action 31 repeats. Then, Dave and Alice swap their gifts. Then, Action 46 repeats. Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something (let's call it Action 61). Then, Dave and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Action 22 repeats. Then, Gertrude and Claire swap their gifts. Then, Action 58 repeats. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Action 58 repeats. Then, Gertrude and Claire swap their gifts. Finally, Fred and Bob swap their gifts. At the end of the event, Alice has the\nOptions:\n(A) green present\n(B) red present\n(C) white present\n(D) blue present\n(E) yellow present\n(F) black ball\n(G) purple present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "c0320f3d1c072b6b769a735d4918f50fd55d152e315b382e09ca79cf0e614474",
    "id": "bbeh:shuffled_objects:068",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a purple ball, Bob has a blue ball, Claire has a yellow ball, Dave has a brown ball, Eve has a black ball, Fred has a white ball, and Gertrude has a orange ball.\nAs the game progresses, pairs of players trade balls. First, Dave and Fred swap balls. Then, Dave and Claire swap balls (let's call it Action 1). Then, Claire and Dave swap balls (let's call it Action 2). Then, Eve and Gertrude swap balls (let's call it Action 3). Then, Gertrude and Eve swap balls (let's call it Action 4). Then, Gertrude and Dave swap balls (let's call it Action 5). Then, Dave and Gertrude swap balls (let's call it Action 6). Then, Bob and Fred swap balls (let's call it Action 7). Then, Bob and Fred discuss something (let's call it Action 8). Then, Bob and Fred swap balls. Then, Eve and Bob swap balls (let's call it Action 9). Then, Eve and Bob discuss something (let's call it Action 10). Then, Action 9 repeats. Then, Fred and Eve swap balls (let's call it Action 11). Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls (let's call it Action 12). Then, nothing happens for a while (let's call it Action 13). Then, Gertrude and Bob swap balls (let's call it Action 14). Then, Bob and Gertrude swap balls (let's call it Action 15). Then, Action 13 repeats. Then, Gertrude and Claire swap balls (let's call it Action 16). Then, Gertrude and Claire discuss something (let's call it Action 17). Then, Gertrude and Claire swap balls. Then, Action 12 repeats. Then, Eve and Fred discuss something (let's call it Action 18). Then, Action 12 repeats. Then, Action 13 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Bob and Eve swap balls (let's call it Action 19). Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Gertrude swap balls (let's call it Action 20). Then, Gertrude and Fred swap balls (let's call it Action 21). Then, Fred and Bob swap balls (let's call it Action 22). Then, Alice and Eve swap balls (let's call it Action 23). Then, Alice and Eve discuss something (let's call it Action 24). Then, Alice and Eve swap balls. Then, Claire and Bob swap balls (let's call it Action 25). Then, Claire and Bob discuss something (let's call it Action 26). Then, Action 25 repeats. Then, Bob and Claire swap balls (let's call it Action 27). Then, Bob and Claire discuss something (let's call it Action 28). Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Claire swap balls. Then, Action 25 repeats. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls (let's call it Action 29). Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls (let's call it Action 30). Then, Eve and Claire swap balls (let's call it Action 31). Then, Claire and Alice swap balls (let's call it Action 32). Then, Alice and Claire swap balls (let's call it Action 33). Then, Claire and Eve swap balls (let's call it Action 34). Then, Claire and Dave swap balls. Then, Action 30 repeats. Then, Dave and Fred discuss something (let's call it Action 35). Then, Dave and Fred swap balls. Then, Bob and Eve swap balls. Then, Action 9 repeats. Then, Dave and Fred swap balls. Then, Action 35 repeats. Then, Dave and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls (let's call it Action 36). Then, Dave and Bob swap balls (let's call it Action 37). Then, Bob and Alice swap balls (let's call it Action 38). Then, Alice and Bob swap balls (let's call it Action 39). Then, Bob and Dave swap balls (let's call it Action 40). Then, Action 19 repeats. Then, Eve and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Action 17 repeats. Then, Action 16 repeats. Then, Alice and Dave swap balls (let's call it Action 41). Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls (let's call it Action 42). Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls (let's call it Action 43). Then, Eve and Dave swap balls (let's call it Action 44). Then, Dave and Gertrude swap balls. Then, Action 13 repeats. Then, Action 13 repeats. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something (let's call it Action 45). Then, Gertrude and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something (let's call it Action 46). Then, Eve and Dave swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something (let's call it Action 47). Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 30 repeats. Then, Action 35 repeats. Then, Dave and Fred swap balls. Then, Eve and Fred swap balls. Then, Fred and Dave swap balls. Then, Action 30 repeats. Then, Action 11 repeats. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something (let's call it Action 48). Then, Action 43 repeats. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Gertrude swap balls (let's call it Action 49). Then, Alice and Gertrude discuss something (let's call it Action 50). Then, Alice and Gertrude swap balls. Then, Action 39 repeats. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Alice swap balls. Then, Claire and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Action 44 repeats. Then, Action 13 repeats. Then, Action 9 repeats. Then, Gertrude and Fred swap balls. Then, Action 29 repeats. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Action 11 repeats. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Action 34 repeats. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Action 17 repeats. Then, Gertrude and Claire swap balls. Then, Bob and Eve swap balls. Then, Action 9 repeats. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Action 36 repeats. Then, Gertrude and Claire swap balls. Then, Claire and Bob swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something (let's call it Action 51). Then, Fred and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Action 25 repeats. Then, Bob and Claire swap balls. Then, Eve and Alice swap balls (let's call it Action 52). Then, Alice and Fred swap balls (let's call it Action 53). Then, Fred and Alice swap balls (let's call it Action 54). Then, Action 23 repeats. Then, Fred and Claire swap balls (let's call it Action 55). Then, Claire and Fred swap balls (let's call it Action 56). Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Action 55 repeats. Then, Gertrude and Alice swap balls (let's call it Action 57). Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Action 49 repeats. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Action 44 repeats. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Action 49 repeats. Then, Action 16 repeats. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Action 42 repeats. Then, Alice and Dave swap balls. Then, Alice and Claire swap balls. Then, Action 32 repeats. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Action 23 repeats. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Action 25 repeats. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Action 23 repeats. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Claire and Bob swap balls. Then, Action 27 repeats. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Action 42 repeats. Then, Bob and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Action 16 repeats. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Action 27 repeats. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, Action 44 repeats. Then, Action 6 repeats. Then, Action 5 repeats. Then, Dave and Eve swap balls. Then, Action 25 repeats. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Action 13 repeats. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Action 27 repeats. Then, nothing happens for a while. Then, Action 13 repeats. Then, nothing happens for a while. Then, Action 56 repeats. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Fred and Alice swap balls. Then, Action 53 repeats. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something (let's call it Action 58). Then, Fred and Claire swap balls. Then, Action 25 repeats. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Action 38 repeats. Then, Action 39 repeats. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Action 32 repeats. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Action 12 repeats. Then, Action 25 repeats. Then, Bob and Eve swap balls. Then, Action 9 repeats. Then, Bob and Claire swap balls. Then, Action 32 repeats. Then, Claire and Alice discuss something (let's call it Action 59). Then, Claire and Alice swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something (let's call it Action 60). Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Action 32 repeats. Then, Claire and Alice discuss something. Then, Action 32 repeats. Then, Gertrude and Bob swap balls. Then, Action 15 repeats. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Action 25 repeats. Then, Bob and Alice swap balls. Then, Action 39 repeats. Then, Action 27 repeats. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something (let's call it Action 61). Then, Fred and Alice swap balls. Then, Action 34 repeats. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Action 46 repeats. Then, Eve and Dave swap balls. Then, Action 13 repeats. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Action 7 repeats. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Bob and Claire swap balls. Finally, Bob and Alice swap balls. At the end of the game, Eve has the\nOptions:\n(A) purple ball\n(B) blue ball\n(C) yellow ball\n(D) brown ball\n(E) black ball\n(F) white ball\n(G) orange ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "a3c8e94a9e3f05d3f7ac6b7336438a55a59c3ed725276c885eb5bd59ffeae691",
    "id": "bbeh:shuffled_objects:071",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a red present, Bob has a purple present, Claire has a white present, Dave has a brown present, Eve has a green present, Fred has a blue present, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Dave and Bob swap their gifts. Then, Alice and Bob swap their gifts (let's call it Action 1). Then, Alice and Bob discuss something (let's call it Action 2). Then, Action 1 repeats. Then, Gertrude and Claire swap their gifts (let's call it Action 3). Then, Gertrude and Claire discuss something (let's call it Action 4). Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while (let's call it Action 5). Then, Claire and Gertrude swap their gifts (let's call it Action 6). Then, Gertrude and Claire swap their gifts. Then, Bob and Fred swap their gifts (let's call it Action 7). Then, Bob and Fred discuss something (let's call it Action 8). Then, Bob and Fred swap their gifts. Then, Dave and Fred swap their gifts (let's call it Action 9). Then, Fred and Gertrude swap their gifts (let's call it Action 10). Then, Gertrude and Fred swap their gifts (let's call it Action 11). Then, Fred and Dave swap their gifts (let's call it Action 12). Then, Claire and Bob swap their gifts (let's call it Action 13). Then, Claire and Bob discuss something (let's call it Action 14). Then, Claire and Bob swap their gifts. Then, Dave and Alice swap their gifts (let's call it Action 15). Then, Dave and Alice discuss something (let's call it Action 16). Then, Dave and Alice swap their gifts. Then, Eve and Fred swap their gifts (let's call it Action 17). Then, Eve and Fred discuss something (let's call it Action 18). Then, Action 17 repeats. Then, Claire and Alice swap their gifts (let's call it Action 19). Then, Alice and Claire swap their gifts (let's call it Action 20). Then, Bob and Alice swap their gifts (let's call it Action 21). Then, Alice and Eve swap their gifts (let's call it Action 22). Then, Eve and Alice swap their gifts (let's call it Action 23). Then, Action 1 repeats. Then, nothing happens for a while. Then, Fred and Alice swap their gifts (let's call it Action 24). Then, Alice and Fred swap their gifts (let's call it Action 25). Then, Action 3 repeats. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Action 20 repeats. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts (let's call it Action 26). Then, Claire and Alice swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Claire swap their gifts (let's call it Action 27). Then, Claire and Fred swap their gifts (let's call it Action 28). Then, Action 12 repeats. Then, Eve and Gertrude swap their gifts (let's call it Action 29). Then, Gertrude and Eve swap their gifts (let's call it Action 30). Then, nothing happens for a while. Then, Claire and Dave swap their gifts (let's call it Action 31). Then, Claire and Dave discuss something (let's call it Action 32). Then, Claire and Dave swap their gifts. Then, Alice and Bob swap their gifts. Then, Eve and Claire swap their gifts (let's call it Action 33). Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Eve swap their gifts (let's call it Action 34). Then, Dave and Bob swap their gifts (let's call it Action 35). Then, Bob and Dave swap their gifts (let's call it Action 36). Then, Eve and Bob swap their gifts (let's call it Action 37). Then, Bob and Eve swap their gifts (let's call it Action 38). Then, Dave and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 36 repeats. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 3 repeats. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Action 3 repeats. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Alice and Dave swap their gifts (let's call it Action 39). Then, Dave and Eve swap their gifts (let's call it Action 40). Then, Eve and Dave swap their gifts (let's call it Action 41). Then, Dave and Alice swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Action 13 repeats. Then, Action 26 repeats. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something (let's call it Action 42). Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something (let's call it Action 43). Then, Action 23 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Action 20 repeats. Then, Action 13 repeats. Then, Bob and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Action 13 repeats. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Fred and Bob swap their gifts (let's call it Action 44). Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Dave and Eve swap their gifts. Then, Action 41 repeats. Then, Fred and Bob swap their gifts. Then, Action 7 repeats. Then, Alice and Gertrude swap their gifts (let's call it Action 45). Then, Gertrude and Alice swap their gifts (let's call it Action 46). Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something (let's call it Action 47). Then, Action 20 repeats. Then, Action 5 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Action 1 repeats. Then, Action 2 repeats. Then, Alice and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something (let's call it Action 48). Then, Bob and Dave swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts (let's call it Action 49). Then, Gertrude and Bob swap their gifts (let's call it Action 50). Then, Bob and Eve swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Action 19 repeats. Then, nothing happens for a while. Then, Action 15 repeats. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Action 46 repeats. Then, Claire and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 20 repeats. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 12 repeats. Then, Dave and Claire swap their gifts (let's call it Action 51). Then, Bob and Dave swap their gifts. Then, Action 35 repeats. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Action 36 repeats. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Action 39 repeats. Then, Action 15 repeats. Then, Alice and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something (let's call it Action 52). Then, Eve and Dave swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Action 50 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts (let's call it Action 53). Then, Dave and Gertrude swap their gifts (let's call it Action 54). Then, Gertrude and Claire swap their gifts. Then, Alice and Claire swap their gifts. Then, Action 31 repeats. Then, Dave and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Action 24 repeats. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Action 50 repeats. Then, Action 36 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something (let's call it Action 55). Then, Action 30 repeats. Then, nothing happens for a while. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something (let's call it Action 56). Then, Dave and Gertrude swap their gifts. Then, Alice and Dave swap their gifts. Then, Action 15 repeats. Then, Dave and Fred swap their gifts. Then, Action 10 repeats. Then, Gertrude and Fred swap their gifts. Then, Action 12 repeats. Then, Action 17 repeats. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something (let's call it Action 57). Then, Dave and Eve swap their gifts. Then, Fred and Dave swap their gifts. Then, Action 9 repeats. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something (let's call it Action 58). Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 26 repeats. Then, Claire and Bob swap their gifts. Then, Action 15 repeats. Then, Dave and Alice discuss something. Then, Action 15 repeats. Then, Eve and Alice swap their gifts. Then, Action 22 repeats. Then, Action 5 repeats. Then, Gertrude and Eve swap their gifts. Then, Action 55 repeats. Then, Gertrude and Eve swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 37 repeats. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Action 36 repeats. Then, Dave and Bob swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Eve swap their gifts (let's call it Action 59). Then, Action 31 repeats. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 37 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 39 repeats. Then, Action 15 repeats. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something (let's call it Action 60). Then, Action 59 repeats. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Action 34 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 33 repeats. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 10 repeats. Then, Gertrude and Dave swap their gifts. Then, Action 41 repeats. Then, Dave and Claire swap their gifts. Then, Action 31 repeats. Then, Dave and Eve swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Action 19 repeats. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Claire and Alice swap their gifts. Then, Action 20 repeats. Then, Bob and Dave swap their gifts. Then, Fred and Alice swap their gifts. Finally, Fred and Eve swap their gifts. At the end of the event, Alice has the\nOptions:\n(A) red present\n(B) purple present\n(C) white present\n(D) brown present\n(E) green present\n(F) blue present\n(G) yellow present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "3cb7436c652d527b04c707df30bffefd02aca1aa748bf93046d9e9c1349d153c",
    "id": "bbeh:shuffled_objects:074",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is dancing with Rodrigo, Claire is dancing with Jamie, Dave is dancing with Lola, Eve is dancing with Helga, Fred is dancing with Melissa, and Gertrude is dancing with Ophelia.\nThroughout the song, the dancers often trade partners. First, Bob and Dave switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Dave and Claire switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Dave and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Dave switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Claire and Eve switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Dave and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Fred and Bob switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Fred and Bob switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Finally, Fred and Eve switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Sam\n(B) Rodrigo\n(C) Jamie\n(D) Lola\n(E) Helga\n(F) Melissa\n(G) Ophelia",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "33d4f26fff1dadd0c5da34a7728f8c6acd2545270c68c0afa4c78aa06391c6db",
    "id": "bbeh:shuffled_objects:081",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Catch-22, Bob gets Frankenstein, Claire gets Ulysses, Dave gets Hound of the Baskervilles, Eve gets Moby Dick, Fred gets The Fellowship of the Ring, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Alice and Bob swap books. Then, nothing happens for a while (let's call it Action 1). Then, Dave and Claire swap books (let's call it Action 2). Then, Dave and Claire discuss something (let's call it Action 3). Then, Dave and Claire swap books. Then, Action 1 repeats. Then, Dave and Gertrude swap books (let's call it Action 4). Then, Gertrude and Dave swap books (let's call it Action 5). Then, Bob and Eve swap books (let's call it Action 6). Then, Bob and Eve discuss something (let's call it Action 7). Then, Bob and Eve swap books. Then, Dave and Eve swap books (let's call it Action 8). Then, Dave and Eve discuss something (let's call it Action 9). Then, Action 8 repeats. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books (let's call it Action 10). Then, Bob and Dave swap books (let's call it Action 11). Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Alice and Gertrude swap books (let's call it Action 12). Then, Gertrude and Claire swap books (let's call it Action 13). Then, Claire and Gertrude swap books (let's call it Action 14). Then, Gertrude and Alice swap books (let's call it Action 15). Then, Alice and Eve swap books (let's call it Action 16). Then, Eve and Claire swap books (let's call it Action 17). Then, Claire and Eve swap books (let's call it Action 18). Then, Eve and Alice swap books (let's call it Action 19). Then, Eve and Gertrude swap books (let's call it Action 20). Then, Eve and Gertrude discuss something (let's call it Action 21). Then, Eve and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Action 12 repeats. Then, Gertrude and Claire swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, Bob and Gertrude swap books (let's call it Action 22). Then, Gertrude and Fred swap books (let's call it Action 23). Then, Fred and Gertrude swap books (let's call it Action 24). Then, Gertrude and Bob swap books (let's call it Action 25). Then, Bob and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something (let's call it Action 26). Then, Action 15 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap books (let's call it Action 27). Then, Eve and Dave swap books (let's call it Action 28). Then, Dave and Eve swap books. Then, Eve and Fred swap books (let's call it Action 29). Then, Action 1 repeats. Then, nothing happens for a while. Then, Bob and Claire swap books (let's call it Action 30). Then, Claire and Bob swap books (let's call it Action 31). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Claire and Bob discuss something (let's call it Action 32). Then, Claire and Bob swap books. Then, Fred and Claire swap books (let's call it Action 33). Then, Fred and Claire discuss something (let's call it Action 34). Then, Fred and Claire swap books. Then, Alice and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Action 19 repeats. Then, Alice and Claire swap books (let's call it Action 35). Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Alice swap books (let's call it Action 36). Then, Claire and Fred swap books (let's call it Action 37). Then, Fred and Eve swap books. Then, Action 29 repeats. Then, Fred and Claire swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something (let's call it Action 38). Then, Fred and Eve swap books. Then, Action 18 repeats. Then, Eve and Claire swap books. Then, Alice and Bob swap books (let's call it Action 39). Then, Action 11 repeats. Then, Dave and Bob swap books. Then, Bob and Alice swap books (let's call it Action 40). Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Bob swap books (let's call it Action 41). Then, Fred and Bob discuss something (let's call it Action 42). Then, Action 41 repeats. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 29 repeats. Then, Fred and Bob swap books. Then, Bob and Fred swap books (let's call it Action 43). Then, Fred and Eve swap books. Then, Claire and Eve swap books. Then, Action 19 repeats. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Bob swap books (let's call it Action 44). Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something (let's call it Action 45). Then, Gertrude and Dave swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something (let's call it Action 46). Then, Alice and Claire swap books. Then, Fred and Alice swap books (let's call it Action 47). Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Fred swap books (let's call it Action 48). Then, Claire and Eve swap books. Then, Claire and Eve discuss something (let's call it Action 49). Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Action 27 repeats. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Action 12 repeats. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Action 48 repeats. Then, Fred and Alice swap books. Then, Dave and Claire swap books. Then, Action 18 repeats. Then, Action 17 repeats. Then, Claire and Dave swap books (let's call it Action 50). Then, Eve and Alice swap books. Then, Eve and Alice discuss something (let's call it Action 51). Then, Action 19 repeats. Then, Action 22 repeats. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 1 repeats. Then, Eve and Bob swap books. Then, Eve and Bob discuss something (let's call it Action 52). Then, Action 44 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Action 2 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Action 14 repeats. Then, Gertrude and Claire swap books. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Action 25 repeats. Then, Gertrude and Bob discuss something (let's call it Action 53). Then, Gertrude and Bob swap books. Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred swap books (let's call it Action 54). Then, Fred and Dave swap books (let's call it Action 55). Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Alice and Eve swap books. Then, Action 19 repeats. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books (let's call it Action 56). Then, Eve and Gertrude swap books. Then, Action 15 repeats. Then, Action 1 repeats. Then, Action 1 repeats. Then, Dave and Gertrude swap books. Then, Action 13 repeats. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Action 1 repeats. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Action 18 repeats. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Action 44 repeats. Then, Action 22 repeats. Then, Action 39 repeats. Then, Alice and Bob discuss something (let's call it Action 57). Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Action 24 repeats. Then, Gertrude and Bob swap books. Then, Action 44 repeats. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Action 19 repeats. Then, Eve and Dave swap books. Then, Eve and Dave discuss something (let's call it Action 58). Then, Eve and Dave swap books. Then, Action 47 repeats. Then, Alice and Fred swap books. Then, Action 28 repeats. Then, Dave and Eve swap books. Then, Action 35 repeats. Then, Action 50 repeats. Then, Dave and Claire swap books. Then, Action 36 repeats. Then, Action 1 repeats. Then, Alice and Dave swap books (let's call it Action 59). Then, Action 2 repeats. Then, Claire and Dave swap books. Then, Dave and Alice swap books (let's call it Action 60). Then, Eve and Claire swap books. Then, Eve and Claire discuss something (let's call it Action 61). Then, Action 17 repeats. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Fred and Eve discuss something. Then, Fred and Eve swap books. Then, Action 12 repeats. Then, Alice and Gertrude discuss something (let's call it Action 62). Then, Alice and Gertrude swap books. Then, Alice and Fred swap books. Then, Action 43 repeats. Then, Bob and Fred discuss something (let's call it Action 63). Then, Action 43 repeats. Then, Action 23 repeats. Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Action 1 repeats. Then, Bob and Alice swap books. Then, Bob and Alice discuss something (let's call it Action 64). Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Action 36 repeats. Then, Action 59 repeats. Then, Action 60 repeats. Then, Alice and Claire swap books. Then, Action 37 repeats. Then, Claire and Fred discuss something (let's call it Action 65). Then, Action 37 repeats. Then, Action 1 repeats. Then, Eve and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something (let's call it Action 66). Then, Fred and Alice swap books. Then, Action 1 repeats. Then, Fred and Eve swap books. Then, Fred and Eve discuss something. Then, Fred and Eve swap books. Then, Gertrude and Claire swap books. Then, Claire and Alice swap books. Then, Action 35 repeats. Then, Claire and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Action 23 repeats. Then, Action 24 repeats. Then, Action 13 repeats. Then, Eve and Alice swap books. Then, Action 16 repeats. Then, Action 1 repeats. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Gertrude and Fred swap books. Then, Action 24 repeats. Then, Alice and Eve swap books. Then, Alice and Eve discuss something (let's call it Action 67). Then, Alice and Eve swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 11 repeats. Then, Bob and Dave discuss something (let's call it Action 68). Then, Bob and Dave swap books. Then, Action 24 repeats. Then, Action 5 repeats. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Fred and Bob swap books. Then, Action 40 repeats. Then, Alice and Bob swap books. Then, Bob and Fred swap books. Then, Action 19 repeats. Then, Alice and Dave swap books. Then, Action 60 repeats. Then, Alice and Eve swap books. Then, Action 35 repeats. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Bob and Claire discuss something (let's call it Action 69). Then, Bob and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Dave and Eve swap books. Then, Claire and Bob swap books. Finally, Eve and Bob swap books. At the end of the semester, Claire has\nOptions:\n(A) Catch-22\n(B) Frankenstein\n(C) Ulysses\n(D) Hound of the Baskervilles\n(E) Moby Dick\n(F) The Fellowship of the Ring\n(G) The Odyssey",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "0c019aac8e1dd6f22e255b4cf7ef365ca0a0f5559cc3b1fbe571fb09cc2dd6f8",
    "id": "bbeh:shuffled_objects:084",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing goalkeeper, Bob is playing center midfielder, Claire is playing benchwarmer, Dave is playing left winger, Eve is playing striker, Fred is playing right midfielder, and Gertrude is playing left midfielder.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Claire trade positions. Then, Bob and Alice trade positions (let's call it Action 1). Then, Bob and Alice discuss something (let's call it Action 2). Then, Bob and Alice trade positions. Then, Alice and Bob trade positions (let's call it Action 3). Then, Bob and Alice trade positions. Then, Alice and Claire trade positions (let's call it Action 4). Then, Claire and Alice trade positions (let's call it Action 5). Then, Bob and Dave trade positions (let's call it Action 6). Then, Dave and Eve trade positions (let's call it Action 7). Then, Eve and Dave trade positions (let's call it Action 8). Then, Dave and Bob trade positions (let's call it Action 9). Then, Gertrude and Fred trade positions (let's call it Action 10). Then, Fred and Gertrude trade positions (let's call it Action 11). Then, Dave and Bob trade positions. Then, Dave and Bob discuss something (let's call it Action 12). Then, Action 9 repeats. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Fred and Bob trade positions (let's call it Action 13). Then, Fred and Bob discuss something (let's call it Action 14). Then, Fred and Bob trade positions. Then, Eve and Alice trade positions (let's call it Action 15). Then, Eve and Alice discuss something (let's call it Action 16). Then, Eve and Alice trade positions. Then, nothing happens for a while (let's call it Action 17). Then, Bob and Fred trade positions (let's call it Action 18). Then, Action 11 repeats. Then, Action 10 repeats. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave trade positions (let's call it Action 19). Then, Dave and Claire trade positions (let's call it Action 20). Then, Claire and Dave trade positions (let's call it Action 21). Then, Dave and Fred trade positions (let's call it Action 22). Then, Gertrude and Alice trade positions (let's call it Action 23). Then, Alice and Eve trade positions (let's call it Action 24). Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions (let's call it Action 25). Then, nothing happens for a while. Then, Fred and Claire trade positions (let's call it Action 26). Then, Claire and Fred trade positions (let's call it Action 27). Then, Gertrude and Dave trade positions (let's call it Action 28). Then, Dave and Alice trade positions (let's call it Action 29). Then, Alice and Dave trade positions (let's call it Action 30). Then, Dave and Gertrude trade positions (let's call it Action 31). Then, Action 17 repeats. Then, Action 25 repeats. Then, Alice and Gertrude discuss something (let's call it Action 32). Then, Alice and Gertrude trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something (let's call it Action 33). Then, Dave and Eve trade positions. Then, Gertrude and Eve trade positions (let's call it Action 34). Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions (let's call it Action 35). Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Fred and Eve trade positions (let's call it Action 36). Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 37). Then, Eve and Claire trade positions (let's call it Action 38). Then, Claire and Eve trade positions (let's call it Action 39). Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Action 9 repeats. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Action 29 repeats. Then, Action 24 repeats. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something (let's call it Action 40). Then, Action 28 repeats. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions (let's call it Action 41). Then, Bob and Gertrude discuss something (let's call it Action 42). Then, Bob and Gertrude trade positions. Then, Action 17 repeats. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something (let's call it Action 43). Then, Gertrude and Fred trade positions. Then, Action 26 repeats. Then, Action 27 repeats. Then, Bob and Eve trade positions (let's call it Action 44). Then, Bob and Eve discuss something (let's call it Action 45). Then, Action 44 repeats. Then, nothing happens for a while. Then, Alice and Fred trade positions (let's call it Action 46). Then, Fred and Alice trade positions (let's call it Action 47). Then, Dave and Claire trade positions. Then, Dave and Claire discuss something (let's call it Action 48). Then, Action 20 repeats. Then, Action 17 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 21 repeats. Then, Claire and Dave discuss something (let's call it Action 49). Then, Claire and Dave trade positions. Then, Claire and Dave trade positions. Then, Action 7 repeats. Then, Action 8 repeats. Then, Gertrude and Dave trade positions. Then, Action 31 repeats. Then, Action 7 repeats. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something (let's call it Action 50). Then, Action 29 repeats. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 51). Then, Action 4 repeats. Then, nothing happens for a while. Then, Action 17 repeats. Then, Action 17 repeats. Then, Eve and Fred trade positions. Then, Action 36 repeats. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 52). Then, Fred and Eve trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Action 20 repeats. Then, Action 27 repeats. Then, Fred and Claire trade positions. Then, Action 21 repeats. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Action 30 repeats. Then, Action 17 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something (let's call it Action 53). Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Bob trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Action 10 repeats. Then, Action 11 repeats. Then, Gertrude and Bob trade positions (let's call it Action 54). Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Action 4 repeats. Then, Action 51 repeats. Then, Alice and Claire trade positions. Then, Action 17 repeats. Then, Action 54 repeats. Then, Gertrude and Bob discuss something (let's call it Action 55). Then, Gertrude and Bob trade positions. Then, Eve and Bob trade positions (let's call it Action 56). Then, Action 44 repeats. Then, Alice and Fred trade positions. Then, Action 53 repeats. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Action 18 repeats. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 13 repeats. Then, Dave and Bob trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something (let's call it Action 57). Then, Eve and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Action 8 repeats. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Action 13 repeats. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Action 44 repeats. Then, Eve and Alice trade positions. Then, Action 24 repeats. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something (let's call it Action 58). Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something (let's call it Action 59). Then, Dave and Fred trade positions. Then, Action 17 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Claire and Bob trade positions (let's call it Action 60). Then, Claire and Bob discuss something (let's call it Action 61). Then, Action 60 repeats. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Action 41 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Action 19 repeats. Then, Action 7 repeats. Then, Eve and Dave trade positions. Then, Action 37 repeats. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Action 9 repeats. Then, Action 44 repeats. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Action 10 repeats. Then, Alice and Eve trade positions. Then, Action 15 repeats. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 62). Then, Action 56 repeats. Then, Action 17 repeats. Then, Action 34 repeats. Then, Gertrude and Eve discuss something (let's call it Action 63). Then, Action 34 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Action 25 repeats. Then, Gertrude and Bob trade positions. Then, Action 39 repeats. Then, Action 38 repeats. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something (let's call it Action 64). Then, Action 18 repeats. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something (let's call it Action 65). Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions (let's call it Action 66). Then, Gertrude and Claire trade positions (let's call it Action 67). Then, Claire and Eve trade positions. Then, Action 36 repeats. Then, Action 37 repeats. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Eve and Fred trade positions. Then, Action 13 repeats. Then, Action 18 repeats. Then, Fred and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Action 25 repeats. Then, Dave and Gertrude trade positions. Then, Action 34 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Action 22 repeats. Then, Fred and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Action 16 repeats. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Fred and Claire trade positions. Then, Action 27 repeats. Then, Bob and Claire trade positions (let's call it Action 68). Then, Dave and Alice trade positions. Finally, Claire and Eve trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) goalkeeper\n(B) center midfielder\n(C) benchwarmer\n(D) left winger\n(E) striker\n(F) right midfielder\n(G) left midfielder",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "ffa363b2871919099a8fb275ef7ff01f0612673dc04707cc5d05e1e071277463",
    "id": "bbeh:shuffled_objects:092",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Karl, Bob is dancing with Ophelia, Claire is dancing with Helga, Dave is dancing with Izzi, Eve is dancing with Melissa, Fred is dancing with Sam, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Claire and Bob switch partners. Then, nothing happens for a while (let's call it Action 1). Then, nothing happens for a while. Then, Fred and Claire switch partners (let's call it Action 2). Then, Fred and Claire discuss something (let's call it Action 3). Then, Action 2 repeats. Then, Eve and Claire switch partners (let's call it Action 4). Then, Eve and Claire discuss something (let's call it Action 5). Then, Eve and Claire switch partners. Then, Alice and Fred switch partners (let's call it Action 6). Then, Fred and Alice switch partners (let's call it Action 7). Then, Gertrude and Claire switch partners (let's call it Action 8). Then, Gertrude and Claire discuss something (let's call it Action 9). Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners (let's call it Action 10). Then, Bob and Gertrude switch partners (let's call it Action 11). Then, Gertrude and Bob switch partners (let's call it Action 12). Then, Bob and Claire switch partners (let's call it Action 13). Then, Bob and Claire switch partners. Then, Claire and Alice switch partners (let's call it Action 14). Then, Alice and Claire switch partners (let's call it Action 15). Then, Claire and Bob switch partners. Then, Eve and Alice switch partners (let's call it Action 16). Then, Alice and Eve switch partners (let's call it Action 17). Then, Action 1 repeats. Then, Eve and Dave switch partners (let's call it Action 18). Then, Dave and Gertrude switch partners (let's call it Action 19). Then, Gertrude and Dave switch partners (let's call it Action 20). Then, Dave and Eve switch partners (let's call it Action 21). Then, Fred and Dave switch partners (let's call it Action 22). Then, Dave and Bob switch partners (let's call it Action 23). Then, Bob and Dave switch partners (let's call it Action 24). Then, Dave and Fred switch partners (let's call it Action 25). Then, Dave and Claire switch partners (let's call it Action 26). Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners (let's call it Action 27). Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something (let's call it Action 28). Then, Dave and Gertrude switch partners. Then, Alice and Gertrude switch partners (let's call it Action 29). Then, Alice and Gertrude discuss something (let's call it Action 30). Then, Action 29 repeats. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Action 27 repeats. Then, Action 23 repeats. Then, Eve and Bob switch partners (let's call it Action 31). Then, Bob and Eve switch partners (let's call it Action 32). Then, Action 17 repeats. Then, Alice and Eve discuss something (let's call it Action 33). Then, Action 17 repeats. Then, Dave and Alice switch partners (let's call it Action 34). Then, Alice and Dave switch partners (let's call it Action 35). Then, Alice and Eve switch partners. Then, Action 1 repeats. Then, Eve and Fred switch partners (let's call it Action 36). Then, Fred and Eve switch partners (let's call it Action 37). Then, nothing happens for a while. Then, Eve and Gertrude switch partners (let's call it Action 38). Then, Eve and Gertrude discuss something (let's call it Action 39). Then, Action 38 repeats. Then, Action 1 repeats. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Gertrude and Eve switch partners (let's call it Action 40). Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Action 38 repeats. Then, Gertrude and Alice switch partners (let's call it Action 41). Then, Gertrude and Alice discuss something (let's call it Action 42). Then, Action 41 repeats. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something (let's call it Action 43). Then, Dave and Alice switch partners. Then, Action 12 repeats. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Action 11 repeats. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Action 15 repeats. Then, Claire and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Action 10 repeats. Then, Fred and Bob switch partners (let's call it Action 44). Then, Bob and Fred switch partners (let's call it Action 45). Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Dave and Fred switch partners. Then, Action 22 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude switch partners. Then, Action 20 repeats. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners (let's call it Action 46). Then, Action 4 repeats. Then, Claire and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Action 2 repeats. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Action 4 repeats. Then, Action 5 repeats. Then, Eve and Claire switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 20 repeats. Then, Dave and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Fred and Gertrude switch partners (let's call it Action 47). Then, Gertrude and Fred switch partners (let's call it Action 48). Then, Alice and Eve switch partners. Then, Action 16 repeats. Then, Fred and Bob switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 49). Then, Eve and Dave switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 50). Then, Dave and Bob switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 51). Then, Dave and Eve switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 52). Then, Action 37 repeats. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something (let's call it Action 53). Then, Action 24 repeats. Then, Claire and Fred switch partners (let's call it Action 54). Then, Claire and Fred discuss something (let's call it Action 55). Then, Claire and Fred switch partners. Then, Action 6 repeats. Then, Action 44 repeats. Then, Action 45 repeats. Then, Fred and Alice switch partners. Then, Action 13 repeats. Then, Bob and Claire discuss something (let's call it Action 56). Then, Action 13 repeats. Then, Action 1 repeats. Then, Action 1 repeats. Then, Gertrude and Alice switch partners. Then, Action 15 repeats. Then, Action 14 repeats. Then, Alice and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Action 54 repeats. Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Action 39 repeats. Then, Action 38 repeats. Then, Alice and Bob switch partners (let's call it Action 57). Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners (let's call it Action 58). Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Action 21 repeats. Then, nothing happens for a while. Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 10 repeats. Then, Claire and Bob discuss something (let's call it Action 59). Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Fred and Dave switch partners. Then, Action 25 repeats. Then, Dave and Alice switch partners. Then, Action 6 repeats. Then, Action 7 repeats. Then, Alice and Dave switch partners. Then, Action 8 repeats. Then, Action 9 repeats. Then, Gertrude and Claire switch partners. Then, Action 25 repeats. Then, Fred and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners (let's call it Action 60). Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Action 8 repeats. Then, Action 60 repeats. Then, Claire and Gertrude discuss something (let's call it Action 61). Then, Action 60 repeats. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 62). Then, Action 26 repeats. Then, Claire and Gertrude switch partners. Then, Bob and Eve switch partners. Finally, Claire and Eve switch partners. At the end of the dance, Alice is dancing with\nOptions:\n(A) Karl\n(B) Ophelia\n(C) Helga\n(D) Izzi\n(E) Melissa\n(F) Sam\n(G) Patrick",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "f3895c17bab5ea56ce16cd227b6aac8708e012826a443c37874cc88e23b35780",
    "id": "bbeh:shuffled_objects:094",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is dancing with Izzi, Claire is dancing with Melissa, Dave is dancing with Lola, Eve is dancing with Helga, Fred is dancing with Ophelia, and Gertrude is dancing with Karl.\nThroughout the song, the dancers often trade partners. First, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Alice and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Dave and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Eve and Alice switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something. Then, Claire and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Gertrude and Eve switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Gertrude and Dave switch partners. Finally, Bob and Claire switch partners. At the end of the dance, Fred is dancing with\nOptions:\n(A) Sam\n(B) Izzi\n(C) Melissa\n(D) Lola\n(E) Helga\n(F) Ophelia\n(G) Karl",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "bfa324809871a135b7393c60bf9691cbdae5410d981f6557d2fe95789cb24005",
    "id": "bbeh:shuffled_objects:103",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a black ball, Claire has a purple present, Dave has a pink ball, Eve has a green present, Fred has a orange ball, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Bob and Alice swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap their gifts. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, Gertrude and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Bob and Alice swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Claire discuss something. Then, Dave and Claire swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Dave and Claire swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something. Then, Alice and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Fred swap their gifts. Finally, Claire and Gertrude swap their gifts. At the end of the event, Eve has the\nOptions:\n(A) blue present\n(B) black ball\n(C) purple present\n(D) pink ball\n(E) green present\n(F) orange ball\n(G) yellow present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "96857baf84027b0312a62670d83bcb5d0943d498282570990454f837f4781458",
    "id": "bbeh:shuffled_objects:110",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing cheerleader, Bob is playing right midfielder, Claire is playing right winger, Dave is playing center midfielder, Eve is playing fullback, Fred is playing striker, and Gertrude is playing goalkeeper.\nAs the game progresses, pairs of players occasionally swap positions. First, Bob and Alice trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Claire and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Bob and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Claire trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Dave trade positions. Finally, Bob and Dave trade positions. At the end of the match, Bob is playing\nOptions:\n(A) cheerleader\n(B) right midfielder\n(C) right winger\n(D) center midfielder\n(E) fullback\n(F) striker\n(G) goalkeeper",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "b8e64d3fe1d4ddcbc941cb9c147c7e6a9810ac0bde5626032a4682c89ebf7361",
    "id": "bbeh:shuffled_objects:114",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a purple ball, Bob has a brown ball, Claire has a blue ball, Dave has a pink ball, Eve has a yellow ball, Fred has a white ball, and Gertrude has a black ball.\nAs the game progresses, pairs of players trade balls. First, Alice and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Fred and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Fred and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Fred and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Gertrude and Bob swap balls. Finally, Gertrude and Claire swap balls. At the end of the game, Fred has the\nOptions:\n(A) purple ball\n(B) brown ball\n(C) blue ball\n(D) pink ball\n(E) yellow ball\n(F) white ball\n(G) black ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "2957dc305dd11185db76237657da5bafefa385dffa6db62609b3bd37d380d332",
    "id": "bbeh:shuffled_objects:115",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing center midfielder, Claire is playing benchwarmer, Dave is playing cheerleader, Eve is playing striker, Fred is playing right midfielder, and Gertrude is playing right winger.\nAs the game progresses, pairs of players occasionally swap positions. First, Dave and Gertrude trade positions. Then, Bob and Dave trade positions (let's call it Action 1). Then, Bob and Dave discuss something (let's call it Action 2). Then, Bob and Dave trade positions. Then, Fred and Bob trade positions (let's call it Action 3). Then, Bob and Gertrude trade positions (let's call it Action 4). Then, Gertrude and Bob trade positions (let's call it Action 5). Then, Bob and Fred trade positions (let's call it Action 6). Then, nothing happens for a while (let's call it Action 7). Then, Gertrude and Fred trade positions (let's call it Action 8). Then, Fred and Gertrude trade positions (let's call it Action 9). Then, Fred and Alice trade positions (let's call it Action 10). Then, Alice and Fred trade positions (let's call it Action 11). Then, Fred and Alice trade positions. Then, Alice and Bob trade positions (let's call it Action 12). Then, Bob and Alice trade positions (let's call it Action 13). Then, Alice and Fred trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something (let's call it Action 14). Then, Alice and Fred trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions (let's call it Action 15). Then, Claire and Fred trade positions (let's call it Action 16). Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire trade positions (let's call it Action 17). Then, Claire and Dave trade positions (let's call it Action 18). Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 13 repeats. Then, Alice and Eve trade positions (let's call it Action 19). Then, Eve and Alice trade positions (let's call it Action 20). Then, Alice and Bob trade positions. Then, Action 7 repeats. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something (let's call it Action 21). Then, Gertrude and Bob trade positions. Then, Fred and Claire trade positions. Then, Claire and Gertrude trade positions (let's call it Action 22). Then, Gertrude and Claire trade positions (let's call it Action 23). Then, Claire and Fred trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something (let's call it Action 24). Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions (let's call it Action 25). Then, Alice and Gertrude trade positions (let's call it Action 26). Then, Action 22 repeats. Then, Claire and Gertrude discuss something (let's call it Action 27). Then, Action 22 repeats. Then, Dave and Bob trade positions (let's call it Action 28). Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 29). Then, Bob and Claire trade positions (let's call it Action 30). Then, Bob and Claire discuss something (let's call it Action 31). Then, Action 30 repeats. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Eve and Fred trade positions (let's call it Action 32). Then, Eve and Fred discuss something (let's call it Action 33). Then, Action 32 repeats. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Action 32 repeats. Then, Eve and Fred trade positions. Then, Fred and Dave trade positions (let's call it Action 34). Then, Dave and Fred trade positions. Then, Fred and Eve trade positions (let's call it Action 35). Then, Dave and Eve trade positions (let's call it Action 36). Then, Eve and Dave trade positions (let's call it Action 37). Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Action 35 repeats. Then, Eve and Fred trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something (let's call it Action 38). Then, Alice and Eve trade positions. Then, Action 7 repeats. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something (let's call it Action 39). Then, Bob and Alice trade positions. Then, Eve and Gertrude trade positions (let's call it Action 40). Then, Gertrude and Eve trade positions (let's call it Action 41). Then, Bob and Fred trade positions. Then, Bob and Fred discuss something (let's call it Action 42). Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Claire and Alice trade positions (let's call it Action 43). Then, Alice and Claire trade positions (let's call it Action 44). Then, Action 22 repeats. Then, Action 41 repeats. Then, Gertrude and Eve discuss something (let's call it Action 45). Then, Action 41 repeats. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 46). Then, Bob and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 47). Then, Eve and Dave trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something (let's call it Action 48). Then, Fred and Dave trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions (let's call it Action 49). Then, Action 30 repeats. Then, Claire and Gertrude trade positions. Then, Action 7 repeats. Then, Action 16 repeats. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Action 15 repeats. Then, Action 1 repeats. Then, Dave and Eve trade positions. Then, Action 37 repeats. Then, Dave and Bob trade positions. Then, Fred and Alice trade positions. Then, Action 11 repeats. Then, Action 7 repeats. Then, Dave and Fred trade positions. Then, Action 15 repeats. Then, Claire and Fred trade positions. Then, Action 34 repeats. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Dave and Gertrude trade positions (let's call it Action 50). Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions (let's call it Action 51). Then, Fred and Gertrude trade positions. Then, Action 25 repeats. Then, Alice and Gertrude trade positions. Then, Action 8 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Action 9 repeats. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions (let's call it Action 52). Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something (let's call it Action 53). Then, Action 8 repeats. Then, Claire and Alice trade positions. Then, Action 44 repeats. Then, Action 4 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 7 repeats. Then, Action 41 repeats. Then, Action 45 repeats. Then, Gertrude and Eve trade positions. Then, Action 44 repeats. Then, Claire and Eve trade positions (let's call it Action 54). Then, Eve and Claire trade positions (let's call it Action 55). Then, Action 43 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Action 41 repeats. Then, nothing happens for a while. Then, Action 16 repeats. Then, Fred and Claire trade positions. Then, Alice and Gertrude trade positions. Then, Action 41 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 20 repeats. Then, Action 4 repeats. Then, Gertrude and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Action 18 repeats. Then, Claire and Dave discuss something (let's call it Action 56). Then, Action 18 repeats. Then, Eve and Bob trade positions (let's call it Action 57). Then, Eve and Bob discuss something (let's call it Action 58). Then, Action 57 repeats. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Bob and Fred trade positions. Then, Action 42 repeats. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Action 50 repeats. Then, Gertrude and Bob trade positions. Then, Action 4 repeats. Then, Gertrude and Dave trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Claire and Fred trade positions. Then, Action 15 repeats. Then, Action 52 repeats. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions (let's call it Action 59). Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Action 35 repeats. Then, Claire and Gertrude trade positions. Then, Action 27 repeats. Then, Claire and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Action 7 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 23 repeats. Then, Action 22 repeats. Then, Claire and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Action 49 repeats. Then, Claire and Bob discuss something (let's call it Action 60). Then, Claire and Bob trade positions. Then, Action 7 repeats. Then, Action 7 repeats. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Action 59 repeats. Then, Fred and Alice trade positions. Then, Action 11 repeats. Then, nothing happens for a while. Then, Action 7 repeats. Then, Action 26 repeats. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Action 13 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Action 18 repeats. Then, Dave and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Action 60 repeats. Then, Action 49 repeats. Then, Action 3 repeats. Then, Bob and Fred trade positions. Then, Action 10 repeats. Then, Fred and Alice discuss something (let's call it Action 61). Then, Action 10 repeats. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Action 30 repeats. Then, Action 22 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Bob trade positions. Then, Action 4 repeats. Then, Action 5 repeats. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 62). Then, Action 35 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Action 34 repeats. Then, Action 7 repeats. Then, Eve and Bob trade positions. Then, Action 13 repeats. Then, Action 12 repeats. Then, Bob and Eve trade positions (let's call it Action 63). Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Bob and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 19 repeats. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Action 55 repeats. Then, Eve and Claire discuss something (let's call it Action 64). Then, Eve and Claire trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something (let's call it Action 65). Then, Action 3 repeats. Then, Bob and Eve trade positions. Then, Dave and Alice trade positions. Finally, Claire and Dave trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) left midfielder\n(B) center midfielder\n(C) benchwarmer\n(D) cheerleader\n(E) striker\n(F) right midfielder\n(G) right winger",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "281d24e960cf4dd8c5348f6fc565c1e54c759bd20ad4d8c576ea64b09cd19ed9",
    "id": "bbeh:shuffled_objects:122",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a red present, Bob has a purple present, Claire has a white present, Dave has a brown present, Eve has a green present, Fred has a blue present, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Dave and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something. Then, Dave and Eve swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something. Then, Alice and Claire swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Bob and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Claire and Alice swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Alice and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something. Then, Alice and Fred swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Fred and Alice swap their gifts. Finally, Fred and Eve swap their gifts. At the end of the event, Gertrude has the\nOptions:\n(A) red present\n(B) purple present\n(C) white present\n(D) brown present\n(E) green present\n(F) blue present\n(G) yellow present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "73e07b481a26d70cd31d774015b3c2bafa506a6aa37a35e03adf39225772d098",
    "id": "bbeh:shuffled_objects:124",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a white present, Claire has a purple present, Dave has a black ball, Eve has a brown present, Fred has a orange ball, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Gertrude and Alice swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Fred and Dave swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Claire and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Bob and Dave swap their gifts. Then, Claire and Gertrude swap their gifts. Finally, Gertrude and Dave swap their gifts. At the end of the event, Alice has the\nOptions:\n(A) blue present\n(B) white present\n(C) purple present\n(D) black ball\n(E) brown present\n(F) orange ball\n(G) yellow present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "984ab8914dfd16be0e237c0278103651a211917b43bdd538683d722be0177ea9",
    "id": "bbeh:shuffled_objects:127",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing benchwarmer, Bob is playing goalkeeper, Claire is playing striker, Dave is playing right midfielder, Eve is playing center midfielder, Fred is playing cheerleader, and Gertrude is playing left midfielder.\nAs the game progresses, pairs of players occasionally swap positions. First, Dave and Claire trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Fred trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Fred trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Claire and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Eve and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Claire and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Dave and Fred trade positions. Finally, Dave and Bob trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) benchwarmer\n(B) goalkeeper\n(C) striker\n(D) right midfielder\n(E) center midfielder\n(F) cheerleader\n(G) left midfielder",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "291f60004131de133c6e32cd1d247cd7dd0a12f0049761672a89f5f4603fa5e7",
    "id": "bbeh:shuffled_objects:133",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing striker, Bob is playing right winger, Claire is playing left winger, Dave is playing benchwarmer, Eve is playing goalkeeper, Fred is playing center midfielder, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Claire trade positions. Then, Alice and Claire trade positions (let's call it Action 1). Then, Alice and Claire discuss something (let's call it Action 2). Then, Alice and Claire trade positions. Then, Alice and Bob trade positions (let's call it Action 3). Then, Bob and Alice trade positions (let's call it Action 4). Then, Gertrude and Claire trade positions (let's call it Action 5). Then, Claire and Gertrude trade positions (let's call it Action 6). Then, Bob and Eve trade positions (let's call it Action 7). Then, Eve and Bob trade positions (let's call it Action 8). Then, Dave and Alice trade positions (let's call it Action 9). Then, Alice and Claire trade positions. Then, Claire and Alice trade positions (let's call it Action 10). Then, Alice and Dave trade positions (let's call it Action 11). Then, Eve and Gertrude trade positions (let's call it Action 12). Then, Gertrude and Fred trade positions (let's call it Action 13). Then, Fred and Gertrude trade positions (let's call it Action 14). Then, Gertrude and Eve trade positions (let's call it Action 15). Then, Action 6 repeats. Then, Claire and Gertrude discuss something (let's call it Action 16). Then, Claire and Gertrude trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 17). Then, Fred and Bob trade positions (let's call it Action 18). Then, Bob and Alice trade positions. Then, Fred and Claire trade positions (let's call it Action 19). Then, Claire and Dave trade positions (let's call it Action 20). Then, Dave and Claire trade positions (let's call it Action 21). Then, Claire and Fred trade positions (let's call it Action 22). Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 23). Then, Eve and Fred discuss something (let's call it Action 24). Then, Eve and Fred trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Fred and Eve trade positions (let's call it Action 25). Then, Fred and Eve discuss something (let's call it Action 26). Then, Fred and Eve trade positions. Then, nothing happens for a while (let's call it Action 27). Then, Dave and Gertrude trade positions (let's call it Action 28). Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions (let's call it Action 29). Then, nothing happens for a while. Then, Gertrude and Bob trade positions (let's call it Action 30). Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions (let's call it Action 31). Then, Bob and Claire trade positions (let's call it Action 32). Then, Bob and Claire discuss something (let's call it Action 33). Then, Action 32 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Eve trade positions (let's call it Action 34). Then, Eve and Alice trade positions (let's call it Action 35). Then, Alice and Eve trade positions (let's call it Action 36). Then, Eve and Claire trade positions (let's call it Action 37). Then, Action 17 repeats. Then, Fred and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something (let's call it Action 38). Then, Eve and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Action 13 repeats. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 21 repeats. Then, Action 10 repeats. Then, Action 27 repeats. Then, Action 11 repeats. Then, Dave and Alice trade positions. Then, Gertrude and Alice trade positions (let's call it Action 39). Then, nothing happens for a while. Then, Action 25 repeats. Then, Action 26 repeats. Then, Fred and Eve trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions (let's call it Action 40). Then, Bob and Claire trade positions. Then, Action 6 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave trade positions (let's call it Action 41). Then, Fred and Dave discuss something (let's call it Action 42). Then, Action 41 repeats. Then, Fred and Alice trade positions (let's call it Action 43). Then, Fred and Alice discuss something (let's call it Action 44). Then, Fred and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Action 6 repeats. Then, Action 37 repeats. Then, Eve and Claire discuss something (let's call it Action 45). Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 4 repeats. Then, Alice and Bob trade positions. Then, Action 32 repeats. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something (let's call it Action 46). Then, Gertrude and Eve trade positions. Then, Bob and Alice trade positions. Then, Action 11 repeats. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 37 repeats. Then, Action 34 repeats. Then, Eve and Bob trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Action 10 repeats. Then, Alice and Claire trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 47). Then, Eve and Bob trade positions. Then, Alice and Fred trade positions (let's call it Action 48). Then, Fred and Claire trade positions. Then, Action 22 repeats. Then, Fred and Alice trade positions. Then, Action 18 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 43 repeats. Then, Action 44 repeats. Then, Fred and Alice trade positions. Then, Action 23 repeats. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Dave trade positions (let's call it Action 49). Then, Action 21 repeats. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions (let's call it Action 50). Then, Action 8 repeats. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Action 7 repeats. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Action 22 repeats. Then, Dave and Claire trade positions. Then, Action 20 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 31 repeats. Then, Gertrude and Dave trade positions. Then, Eve and Fred trade positions. Then, Action 25 repeats. Then, Action 6 repeats. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 49 repeats. Then, Action 50 repeats. Then, Bob and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 18 repeats. Then, Action 31 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Action 8 repeats. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 51). Then, Claire and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions (let's call it Action 52). Then, Eve and Dave trade positions (let's call it Action 53). Then, Dave and Claire trade positions. Then, Action 31 repeats. Then, Action 30 repeats. Then, Action 14 repeats. Then, Gertrude and Eve trade positions. Then, Action 12 repeats. Then, Gertrude and Fred trade positions. Then, Eve and Claire trade positions. Then, Action 45 repeats. Then, Eve and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Dave and Fred trade positions (let's call it Action 54). Then, Action 41 repeats. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Action 35 repeats. Then, Action 1 repeats. Then, Action 10 repeats. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Action 12 repeats. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Action 22 repeats. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions. Then, Action 37 repeats. Then, Action 10 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions (let's call it Action 55). Then, Gertrude and Bob trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Action 54 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Action 6 repeats. Then, Gertrude and Dave trade positions. Then, Fred and Eve trade positions. Then, Action 23 repeats. Then, nothing happens for a while. Then, Action 50 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Action 9 repeats. Then, Dave and Alice discuss something (let's call it Action 56). Then, Dave and Alice trade positions. Then, Fred and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 4 repeats. Then, Action 48 repeats. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 57). Then, Eve and Dave trade positions. Then, Action 8 repeats. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Action 41 repeats. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something (let's call it Action 58). Then, Action 54 repeats. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, Action 52 repeats. Then, Eve and Claire trade positions. Then, Action 49 repeats. Then, Action 28 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 27 repeats. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Finally, Claire and Alice trade positions. At the end of the match, Dave is playing\nOptions:\n(A) striker\n(B) right winger\n(C) left winger\n(D) benchwarmer\n(E) goalkeeper\n(F) center midfielder\n(G) cheerleader",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "9af38ae6b7180622989d5115fe065544e1ef9354738cc4d58937469e074278a1",
    "id": "bbeh:shuffled_objects:136",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left winger, Bob is playing cheerleader, Claire is playing striker, Dave is playing left midfielder, Eve is playing center midfielder, Fred is playing right midfielder, and Gertrude is playing goalkeeper.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Claire trade positions. Then, nothing happens for a while (let's call it Action 1). Then, Dave and Fred trade positions (let's call it Action 2). Then, Fred and Dave trade positions (let's call it Action 3). Then, Eve and Dave trade positions (let's call it Action 4). Then, Dave and Eve trade positions (let's call it Action 5). Then, Claire and Bob trade positions (let's call it Action 6). Then, Bob and Claire trade positions (let's call it Action 7). Then, Gertrude and Bob trade positions (let's call it Action 8). Then, Bob and Gertrude trade positions (let's call it Action 9). Then, Alice and Dave trade positions (let's call it Action 10). Then, Dave and Alice trade positions (let's call it Action 11). Then, Action 3 repeats. Then, Fred and Dave discuss something (let's call it Action 12). Then, Fred and Dave trade positions. Then, Action 4 repeats. Then, Dave and Gertrude trade positions (let's call it Action 13). Then, Gertrude and Dave trade positions (let's call it Action 14). Then, Dave and Eve trade positions. Then, Alice and Claire trade positions (let's call it Action 15). Then, Alice and Claire discuss something (let's call it Action 16). Then, Action 15 repeats. Then, Bob and Alice trade positions (let's call it Action 17). Then, Alice and Gertrude trade positions (let's call it Action 18). Then, Gertrude and Alice trade positions (let's call it Action 19). Then, Alice and Bob trade positions (let's call it Action 20). Then, Fred and Bob trade positions (let's call it Action 21). Then, Bob and Dave trade positions (let's call it Action 22). Then, Dave and Bob trade positions (let's call it Action 23). Then, Bob and Fred trade positions (let's call it Action 24). Then, Claire and Alice trade positions (let's call it Action 25). Then, Claire and Alice discuss something (let's call it Action 26). Then, Claire and Alice trade positions. Then, Eve and Gertrude trade positions (let's call it Action 27). Then, Gertrude and Eve trade positions (let's call it Action 28). Then, Eve and Alice trade positions (let's call it Action 29). Then, Alice and Eve trade positions (let's call it Action 30). Then, Fred and Alice trade positions (let's call it Action 31). Then, Alice and Dave trade positions. Then, Action 11 repeats. Then, Alice and Fred trade positions (let's call it Action 32). Then, Fred and Claire trade positions (let's call it Action 33). Then, Fred and Claire discuss something (let's call it Action 34). Then, Fred and Claire trade positions. Then, Eve and Bob trade positions (let's call it Action 35). Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions (let's call it Action 36). Then, Action 27 repeats. Then, Eve and Gertrude discuss something (let's call it Action 37). Then, Eve and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something (let's call it Action 38). Then, Bob and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Dave trade positions (let's call it Action 39). Then, Action 2 repeats. Then, Action 3 repeats. Then, Dave and Claire trade positions (let's call it Action 40). Then, Fred and Eve trade positions (let's call it Action 41). Then, Eve and Fred trade positions (let's call it Action 42). Then, Action 15 repeats. Then, Claire and Alice trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something (let's call it Action 43). Then, Eve and Alice trade positions. Then, Action 29 repeats. Then, Alice and Dave trade positions. Then, Action 11 repeats. Then, Action 30 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions (let's call it Action 44). Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something (let's call it Action 45). Then, Bob and Fred trade positions. Then, Action 21 repeats. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 25 repeats. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Action 13 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 10 repeats. Then, Alice and Dave discuss something (let's call it Action 46). Then, Alice and Dave trade positions. Then, Action 24 repeats. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Bob and Fred trade positions. Then, Action 21 repeats. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something (let's call it Action 47). Then, Dave and Bob trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Action 19 repeats. Then, nothing happens for a while. Then, Fred and Gertrude trade positions (let's call it Action 48). Then, Fred and Gertrude discuss something (let's call it Action 49). Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 50). Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Action 30 repeats. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions (let's call it Action 51). Then, Action 1 repeats. Then, Dave and Bob trade positions. Then, Action 36 repeats. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Claire and Eve trade positions (let's call it Action 52). Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions (let's call it Action 53). Then, Alice and Fred trade positions. Then, Alice and Fred discuss something (let's call it Action 54). Then, Action 32 repeats. Then, nothing happens for a while. Then, Action 52 repeats. Then, Eve and Claire trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 10 repeats. Then, Dave and Fred trade positions. Then, Alice and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something (let's call it Action 55). Then, Claire and Dave trade positions. Then, Action 1 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Action 1 repeats. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 23 repeats. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Fred and Alice trade positions. Then, Action 32 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Action 2 repeats. Then, Dave and Fred discuss something (let's call it Action 56). Then, Dave and Fred trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Action 1 repeats. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something (let's call it Action 57). Then, Alice and Eve trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 21 repeats. Then, Action 17 repeats. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something (let's call it Action 58). Then, Action 40 repeats. Then, Action 25 repeats. Then, Action 15 repeats. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Action 30 repeats. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Action 9 repeats. Then, Alice and Claire trade positions. Then, Claire and Gertrude trade positions (let's call it Action 59). Then, Gertrude and Claire trade positions (let's call it Action 60). Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 21 repeats. Then, Action 29 repeats. Then, Action 43 repeats. Then, Eve and Alice trade positions. Then, Action 18 repeats. Then, Alice and Gertrude discuss something (let's call it Action 61). Then, Alice and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Action 19 repeats. Then, Action 20 repeats. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 9 repeats. Then, Gertrude and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Action 15 repeats. Then, Claire and Alice trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something (let's call it Action 62). Then, Action 21 repeats. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Action 29 repeats. Then, Action 31 repeats. Then, Fred and Alice discuss something (let's call it Action 63). Then, Fred and Alice trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 64). Then, Eve and Bob trade positions. Then, Action 19 repeats. Then, Gertrude and Alice discuss something (let's call it Action 65). Then, Gertrude and Alice trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Action 35 repeats. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 33 repeats. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 35 repeats. Then, Bob and Gertrude trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Action 30 repeats. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 10 repeats. Then, Dave and Claire trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 9 repeats. Then, Gertrude and Fred trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Action 14 repeats. Then, Gertrude and Dave discuss something (let's call it Action 66). Then, Gertrude and Dave trade positions. Then, Claire and Dave trade positions. Then, Action 40 repeats. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Action 20 repeats. Then, Claire and Eve trade positions. Then, Action 42 repeats. Then, Action 41 repeats. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Fred and Dave trade positions. Finally, Eve and Claire trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) left winger\n(B) cheerleader\n(C) striker\n(D) left midfielder\n(E) center midfielder\n(F) right midfielder\n(G) goalkeeper",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "ed5208e8ec1a2ee408f9ae4ac27f5b7d84563b24a70407fb4478975574d001b3",
    "id": "bbeh:shuffled_objects:138",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a yellow present, Bob has a orange ball, Claire has a green present, Dave has a pink ball, Eve has a brown present, Fred has a white present, and Gertrude has a purple present.\nAs the event progresses, pairs of people swap gifts. First, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Claire discuss something. Then, Fred and Claire swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Fred and Eve swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something. Then, Alice and Fred swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Dave and Alice swap their gifts. Then, Claire and Eve swap their gifts. Finally, Gertrude and Eve swap their gifts. At the end of the event, Gertrude has the\nOptions:\n(A) yellow present\n(B) orange ball\n(C) green present\n(D) pink ball\n(E) brown present\n(F) white present\n(G) purple present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "05c430f089930a0a589d8f56b75fb974851eb19ffc395b4ae5582fcc1d84c892",
    "id": "bbeh:shuffled_objects:142",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a purple ball, Bob has a pink ball, Claire has a orange ball, Dave has a black ball, Eve has a brown ball, Fred has a green ball, and Gertrude has a blue ball.\nAs the game progresses, pairs of players trade balls. First, Gertrude and Alice swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Alice and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Dave and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Fred and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Fred swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Eve and Dave swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Alice and Eve swap balls. Then, Alice and Claire swap balls. Finally, Claire and Fred swap balls. At the end of the game, Eve has the\nOptions:\n(A) purple ball\n(B) pink ball\n(C) orange ball\n(D) black ball\n(E) brown ball\n(F) green ball\n(G) blue ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "83766eeeda05417d2fb6a2ed8df065e9de50632507050ebb54daad050b0021ae",
    "id": "bbeh:shuffled_objects:143",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Catch-22, Bob gets The Fellowship of the Ring, Claire gets Lolita, Dave gets Hound of the Baskervilles, Eve gets The Pearl, Fred gets The Great Gatsby, and Gertrude gets Frankenstein.\nAs the semester proceeds, they start trading around the new books. First, Eve and Bob swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Alice swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Bob and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Gertrude swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Bob swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Eve swap books. Then, Bob and Alice swap books. Then, Bob and Alice discuss something. Then, Bob and Alice swap books. Then, Bob and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Bob swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Gertrude swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Fred and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Eve swap books. Then, Bob and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Fred and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Claire and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Dave and Eve swap books. Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Gertrude swap books. Then, Bob and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Bob swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Alice and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Alice swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Bob and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Bob swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Claire and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Alice and Gertrude swap books. Finally, Claire and Bob swap books. At the end of the semester, Claire has\nOptions:\n(A) Catch-22\n(B) The Fellowship of the Ring\n(C) Lolita\n(D) Hound of the Baskervilles\n(E) The Pearl\n(F) The Great Gatsby\n(G) Frankenstein",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "e6964ce295e8e918bb7acc4139b7022d3f12712af1f7a32365614ff98133c61b",
    "id": "bbeh:shuffled_objects:145",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing striker, Bob is playing center midfielder, Claire is playing left winger, Dave is playing goalkeeper, Eve is playing cheerleader, Fred is playing right winger, and Gertrude is playing benchwarmer.\nAs the game progresses, pairs of players occasionally swap positions. First, Claire and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Alice and Gertrude trade positions. Finally, Dave and Eve trade positions. At the end of the match, Alice is playing\nOptions:\n(A) striker\n(B) center midfielder\n(C) left winger\n(D) goalkeeper\n(E) cheerleader\n(F) right winger\n(G) benchwarmer",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "0ebdb4bba4483721808ef05d677c764ead9fb2e0f8ba909bbcc448ab0c944c82",
    "id": "bbeh:shuffled_objects:147",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing goalkeeper, Claire is playing right winger, Dave is playing left winger, Eve is playing striker, Fred is playing benchwarmer, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Eve trade positions. Then, nothing happens for a while (let's call it Action 1). Then, Action 1 repeats. Then, Gertrude and Fred trade positions (let's call it Action 2). Then, Fred and Alice trade positions (let's call it Action 3). Then, Alice and Fred trade positions (let's call it Action 4). Then, Fred and Gertrude trade positions (let's call it Action 5). Then, Eve and Gertrude trade positions (let's call it Action 6). Then, Gertrude and Bob trade positions (let's call it Action 7). Then, Bob and Gertrude trade positions (let's call it Action 8). Then, Gertrude and Eve trade positions (let's call it Action 9). Then, Dave and Gertrude trade positions (let's call it Action 10). Then, Gertrude and Dave trade positions (let's call it Action 11). Then, Action 1 repeats. Then, Bob and Dave trade positions (let's call it Action 12). Then, Dave and Bob trade positions (let's call it Action 13). Then, Alice and Claire trade positions (let's call it Action 14). Then, Claire and Fred trade positions (let's call it Action 15). Then, Fred and Claire trade positions (let's call it Action 16). Then, Claire and Alice trade positions (let's call it Action 17). Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something (let's call it Action 18). Then, Fred and Gertrude trade positions. Then, Dave and Claire trade positions (let's call it Action 19). Then, Claire and Gertrude trade positions (let's call it Action 20). Then, Gertrude and Claire trade positions (let's call it Action 21). Then, Claire and Dave trade positions (let's call it Action 22). Then, nothing happens for a while. Then, Bob and Alice trade positions (let's call it Action 23). Then, Bob and Alice discuss something (let's call it Action 24). Then, Bob and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 25). Then, Fred and Dave trade positions (let's call it Action 26). Then, Dave and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Bob and Alice trade positions. Then, Action 24 repeats. Then, Bob and Alice trade positions. Then, Gertrude and Alice trade positions (let's call it Action 27). Then, Gertrude and Alice discuss something (let's call it Action 28). Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Action 12 repeats. Then, Bob and Dave discuss something (let's call it Action 29). Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, Action 26 repeats. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions (let's call it Action 30). Then, Action 23 repeats. Then, Alice and Gertrude trade positions (let's call it Action 31). Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Bob trade positions (let's call it Action 32). Then, Claire and Bob discuss something (let's call it Action 33). Then, Claire and Bob trade positions. Then, Action 10 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Action 12 repeats. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Action 13 repeats. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 16 repeats. Then, Claire and Alice trade positions. Then, Eve and Fred trade positions (let's call it Action 34). Then, Fred and Eve trade positions (let's call it Action 35). Then, Claire and Bob trade positions. Then, Bob and Claire trade positions (let's call it Action 36). Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions (let's call it Action 37). Then, Eve and Claire trade positions (let's call it Action 38). Then, Claire and Alice trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Claire and Bob trade positions. Then, Action 33 repeats. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 1 repeats. Then, Eve and Fred trade positions. Then, Action 35 repeats. Then, Fred and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Action 21 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 3 repeats. Then, Fred and Alice discuss something (let's call it Action 39). Then, Action 3 repeats. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Action 36 repeats. Then, Claire and Bob trade positions. Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 11 repeats. Then, Gertrude and Dave discuss something (let's call it Action 40). Then, Gertrude and Dave trade positions. Then, Bob and Eve trade positions (let's call it Action 41). Then, Eve and Bob trade positions (let's call it Action 42). Then, nothing happens for a while. Then, Action 41 repeats. Then, Action 42 repeats. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Action 34 repeats. Then, Fred and Eve trade positions. Then, Bob and Fred trade positions (let's call it Action 43). Then, Bob and Fred discuss something (let's call it Action 44). Then, Action 43 repeats. Then, Action 1 repeats. Then, Action 35 repeats. Then, Fred and Eve discuss something (let's call it Action 45). Then, Fred and Eve trade positions. Then, Bob and Fred trade positions. Then, Action 5 repeats. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions (let's call it Action 46). Then, Action 1 repeats. Then, Action 1 repeats. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something (let's call it Action 47). Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Action 44 repeats. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Action 22 repeats. Then, Action 10 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Bob trade positions. Then, Action 8 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Alice and Claire trade positions. Then, Action 32 repeats. Then, Action 36 repeats. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Dave trade positions (let's call it Action 48). Then, Action 25 repeats. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions (let's call it Action 49). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Action 44 repeats. Then, Bob and Fred trade positions. Then, Alice and Dave trade positions (let's call it Action 50). Then, Alice and Dave discuss something (let's call it Action 51). Then, Action 50 repeats. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something (let's call it Action 52). Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Action 8 repeats. Then, Bob and Gertrude discuss something (let's call it Action 53). Then, Bob and Gertrude trade positions. Then, Action 6 repeats. Then, Gertrude and Bob trade positions. Then, Action 8 repeats. Then, Action 9 repeats. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something (let's call it Action 54). Then, Action 38 repeats. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Action 1 repeats. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something (let's call it Action 55). Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Eve and Alice trade positions (let's call it Action 56). Then, Action 30 repeats. Then, Action 23 repeats. Then, Alice and Eve trade positions (let's call it Action 57). Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Action 20 repeats. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Action 20 repeats. Then, Action 31 repeats. Then, Gertrude and Alice trade positions. Then, Action 3 repeats. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Action 16 repeats. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 12 repeats. Then, Dave and Alice trade positions (let's call it Action 58). Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Action 11 repeats. Then, Dave and Gertrude trade positions. Then, Action 27 repeats. Then, Alice and Eve trade positions. Then, Action 56 repeats. Then, Action 22 repeats. Then, Dave and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Action 15 repeats. Then, Action 35 repeats. Then, Action 34 repeats. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something (let's call it Action 59). Then, Action 46 repeats. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 60). Then, Claire and Fred trade positions. Then, Action 10 repeats. Then, Action 11 repeats. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 61). Then, Eve and Bob trade positions. Then, Action 41 repeats. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Action 58 repeats. Then, Alice and Dave trade positions. Then, Eve and Gertrude trade positions. Then, Action 9 repeats. Then, Action 22 repeats. Then, Claire and Dave discuss something. Then, Action 22 repeats. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Action 31 repeats. Then, nothing happens for a while. Then, Action 17 repeats. Then, Action 14 repeats. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Action 30 repeats. Then, Bob and Alice trade positions. Then, Action 30 repeats. Then, Dave and Bob trade positions. Finally, Bob and Alice trade positions. At the end of the match, Bob is playing\nOptions:\n(A) left midfielder\n(B) goalkeeper\n(C) right winger\n(D) left winger\n(E) striker\n(F) benchwarmer\n(G) cheerleader",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "2758747ab7d86829270c908b0f76e6faf6509fa4d48c5633338822bc21528450",
    "id": "bbeh:shuffled_objects:163",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a brown ball, Claire has a orange ball, Dave has a red ball, Eve has a blue ball, Fred has a black ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Dave swap balls. Then, Claire and Gertrude swap balls (let's call it Action 1). Then, Gertrude and Claire swap balls (let's call it Action 2). Then, Fred and Gertrude swap balls (let's call it Action 3). Then, Gertrude and Fred swap balls (let's call it Action 4). Then, Alice and Claire swap balls (let's call it Action 5). Then, Alice and Claire discuss something (let's call it Action 6). Then, Alice and Claire swap balls. Then, nothing happens for a while (let's call it Action 7). Then, Alice and Fred swap balls (let's call it Action 8). Then, Alice and Fred discuss something (let's call it Action 9). Then, Alice and Fred swap balls. Then, Gertrude and Dave swap balls (let's call it Action 10). Then, Dave and Alice swap balls (let's call it Action 11). Then, Alice and Dave swap balls (let's call it Action 12). Then, Dave and Gertrude swap balls (let's call it Action 13). Then, Action 7 repeats. Then, Fred and Alice swap balls (let's call it Action 14). Then, Fred and Alice discuss something (let's call it Action 15). Then, Action 14 repeats. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something (let's call it Action 16). Then, Gertrude and Dave swap balls. Then, Eve and Gertrude swap balls (let's call it Action 17). Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Eve swap balls (let's call it Action 18). Then, Claire and Bob swap balls (let's call it Action 19). Then, Bob and Claire swap balls (let's call it Action 20). Then, Bob and Fred swap balls (let's call it Action 21). Then, Fred and Eve swap balls (let's call it Action 22). Then, Eve and Fred swap balls (let's call it Action 23). Then, Fred and Bob swap balls (let's call it Action 24). Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something (let's call it Action 25). Then, Eve and Gertrude swap balls. Then, Action 3 repeats. Then, Gertrude and Fred swap balls. Then, Action 7 repeats. Then, Action 19 repeats. Then, Bob and Claire swap balls. Then, Alice and Eve swap balls (let's call it Action 26). Then, Eve and Alice swap balls (let's call it Action 27). Then, Fred and Dave swap balls (let's call it Action 28). Then, Dave and Fred swap balls (let's call it Action 29). Then, Action 7 repeats. Then, Action 29 repeats. Then, Action 28 repeats. Then, Gertrude and Alice swap balls (let's call it Action 30). Then, Alice and Gertrude swap balls (let's call it Action 31). Then, Dave and Eve swap balls (let's call it Action 32). Then, Action 27 repeats. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls (let's call it Action 33). Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Dave swap balls (let's call it Action 34). Then, Dave and Bob swap balls (let's call it Action 35). Then, Claire and Alice swap balls (let's call it Action 36). Then, Action 26 repeats. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, Action 13 repeats. Then, Gertrude and Dave swap balls. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something (let's call it Action 37). Then, Dave and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Action 23 repeats. Then, Action 22 repeats. Then, Eve and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Action 34 repeats. Then, Dave and Eve swap balls. Then, Action 33 repeats. Then, Action 35 repeats. Then, Eve and Fred swap balls. Then, Fred and Dave swap balls. Then, Action 29 repeats. Then, Fred and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Action 2 repeats. Then, Action 33 repeats. Then, Eve and Dave discuss something (let's call it Action 38). Then, Eve and Dave swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something (let's call it Action 39). Then, Action 27 repeats. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Eve and Bob swap balls (let's call it Action 40). Then, Eve and Bob discuss something (let's call it Action 41). Then, Eve and Bob swap balls. Then, Claire and Dave swap balls (let's call it Action 42). Then, Dave and Claire swap balls (let's call it Action 43). Then, Claire and Alice swap balls. Then, Action 5 repeats. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something (let's call it Action 44). Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Action 26 repeats. Then, Action 28 repeats. Then, Fred and Dave discuss something (let's call it Action 45). Then, Fred and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something (let's call it Action 46). Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Action 33 repeats. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Fred swap balls (let's call it Action 47). Then, Fred and Claire swap balls (let's call it Action 48). Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something (let's call it Action 49). Then, Bob and Dave swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Action 7 repeats. Then, Action 18 repeats. Then, Eve and Gertrude swap balls. Then, Action 7 repeats. Then, Bob and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Action 1 repeats. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Action 36 repeats. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Action 5 repeats. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something (let's call it Action 50). Then, Dave and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something (let's call it Action 51). Then, Gertrude and Eve swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls (let's call it Action 52). Then, Claire and Eve discuss something (let's call it Action 53). Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something (let's call it Action 54). Then, Action 31 repeats. Then, Alice and Claire swap balls. Then, Claire and Dave swap balls. Then, Action 43 repeats. Then, Claire and Alice swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Action 47 repeats. Then, Fred and Claire swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something (let's call it Action 55). Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Action 11 repeats. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, Action 28 repeats. Then, Action 43 repeats. Then, Action 28 repeats. Then, Dave and Fred swap balls. Then, Bob and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls (let's call it Action 56). Then, Bob and Gertrude discuss something (let's call it Action 57). Then, Bob and Gertrude swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Action 27 repeats. Then, Action 26 repeats. Then, Alice and Eve discuss something (let's call it Action 58). Then, Alice and Eve swap balls. Then, Action 18 repeats. Then, Action 51 repeats. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Action 7 repeats. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Action 33 repeats. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Action 7 repeats. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something (let's call it Action 59). Then, Action 21 repeats. Then, nothing happens for a while. Then, Action 47 repeats. Then, Claire and Fred discuss something (let's call it Action 60). Then, Claire and Fred swap balls. Then, Action 34 repeats. Then, Dave and Bob swap balls. Then, Action 20 repeats. Then, Bob and Claire discuss something (let's call it Action 61). Then, Action 20 repeats. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Action 35 repeats. Then, Dave and Bob discuss something. Then, Action 35 repeats. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Action 40 repeats. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Claire and Fred swap balls. Then, Gertrude and Bob swap balls (let's call it Action 62). Then, Gertrude and Bob discuss something (let's call it Action 63). Then, Action 62 repeats. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something (let's call it Action 64). Then, Dave and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Action 32 repeats. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Eve and Claire swap balls (let's call it Action 65). Then, Claire and Eve swap balls. Then, Action 7 repeats. Then, Action 24 repeats. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls (let's call it Action 66). Then, Bob and Alice swap balls (let's call it Action 67). Then, Alice and Fred swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Action 13 repeats. Then, Dave and Fred swap balls. Then, Action 55 repeats. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 29 repeats. Then, Action 55 repeats. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Fred swap balls. Then, Action 30 repeats. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Action 65 repeats. Then, Action 47 repeats. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Action 36 repeats. Then, Alice and Claire swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something (let's call it Action 68). Then, Gertrude and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Action 13 repeats. Then, Gertrude and Fred swap balls. Then, Action 3 repeats. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 56 repeats. Then, Action 57 repeats. Then, Action 56 repeats. Then, Alice and Claire swap balls. Then, Eve and Fred swap balls. Finally, Eve and Dave swap balls. At the end of the game, Bob has the\nOptions:\n(A) green ball\n(B) brown ball\n(C) orange ball\n(D) red ball\n(E) blue ball\n(F) black ball\n(G) yellow ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "dd6640317520c78baf95bc95d90f2a291c521ebcfda2f3b656330cb50bd031e1",
    "id": "bbeh:shuffled_objects:165",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a green present, Bob has a blue present, Claire has a red present, Dave has a purple present, Eve has a brown present, Fred has a white present, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Gertrude and Eve swap their gifts. Then, Claire and Eve swap their gifts (let's call it Action 1). Then, Eve and Claire swap their gifts (let's call it Action 2). Then, Alice and Fred swap their gifts (let's call it Action 3). Then, Fred and Alice swap their gifts (let's call it Action 4). Then, Gertrude and Bob swap their gifts (let's call it Action 5). Then, Bob and Gertrude swap their gifts (let's call it Action 6). Then, Claire and Dave swap their gifts (let's call it Action 7). Then, Claire and Dave discuss something (let's call it Action 8). Then, Claire and Dave swap their gifts. Then, Eve and Bob swap their gifts (let's call it Action 9). Then, Bob and Eve swap their gifts (let's call it Action 10). Then, Alice and Dave swap their gifts (let's call it Action 11). Then, Dave and Fred swap their gifts (let's call it Action 12). Then, Fred and Dave swap their gifts (let's call it Action 13). Then, Dave and Alice swap their gifts (let's call it Action 14). Then, nothing happens for a while (let's call it Action 15). Then, nothing happens for a while. Then, Claire and Alice swap their gifts (let's call it Action 16). Then, Claire and Alice discuss something (let's call it Action 17). Then, Claire and Alice swap their gifts. Then, Eve and Dave swap their gifts (let's call it Action 18). Then, Dave and Gertrude swap their gifts (let's call it Action 19). Then, Gertrude and Dave swap their gifts (let's call it Action 20). Then, Dave and Eve swap their gifts (let's call it Action 21). Then, Bob and Alice swap their gifts (let's call it Action 22). Then, Action 3 repeats. Then, Fred and Alice swap their gifts. Then, Alice and Bob swap their gifts (let's call it Action 23). Then, Action 23 repeats. Then, Bob and Dave swap their gifts (let's call it Action 24). Then, Dave and Bob swap their gifts (let's call it Action 25). Then, Action 22 repeats. Then, nothing happens for a while. Then, Action 15 repeats. Then, nothing happens for a while. Then, Action 2 repeats. Then, Eve and Claire discuss something (let's call it Action 26). Then, Eve and Claire swap their gifts. Then, Gertrude and Eve swap their gifts (let's call it Action 27). Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 28). Then, Fred and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 29). Then, Bob and Claire swap their gifts (let's call it Action 30). Then, Fred and Eve swap their gifts (let's call it Action 31). Then, Fred and Eve discuss something (let's call it Action 32). Then, Action 31 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts (let's call it Action 33). Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Action 25 repeats. Then, Dave and Bob discuss something (let's call it Action 34). Then, Dave and Bob swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts (let's call it Action 35). Then, Alice and Gertrude swap their gifts (let's call it Action 36). Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Gertrude and Claire swap their gifts (let's call it Action 37). Then, Claire and Gertrude swap their gifts (let's call it Action 38). Then, Action 11 repeats. Then, Alice and Dave discuss something (let's call it Action 39). Then, Alice and Dave swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Action 2 repeats. Then, Action 29 repeats. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Claire swap their gifts (let's call it Action 40). Then, Action 1 repeats. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Action 2 repeats. Then, Bob and Alice swap their gifts. Then, Action 23 repeats. Then, Eve and Alice swap their gifts (let's call it Action 41). Then, Alice and Eve swap their gifts (let's call it Action 42). Then, Action 9 repeats. Then, Eve and Bob discuss something (let's call it Action 43). Then, Action 9 repeats. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something (let's call it Action 44). Then, Bob and Alice swap their gifts. Then, Action 15 repeats. Then, Claire and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Claire swap their gifts (let's call it Action 45). Then, Dave and Claire swap their gifts. Then, Dave and Claire discuss something (let's call it Action 46). Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something (let's call it Action 47). Then, Alice and Eve swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something (let's call it Action 48). Then, Eve and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Action 11 repeats. Then, Gertrude and Fred swap their gifts (let's call it Action 49). Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something (let's call it Action 50). Then, Action 1 repeats. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 15 repeats. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts (let's call it Action 51). Then, Gertrude and Fred swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something (let's call it Action 52). Then, Dave and Eve swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 35 repeats. Then, Gertrude and Claire swap their gifts. Then, Action 1 repeats. Then, Eve and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something (let's call it Action 53). Then, Gertrude and Claire swap their gifts. Then, Eve and Claire swap their gifts. Then, Action 1 repeats. Then, Claire and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something (let's call it Action 54). Then, Gertrude and Eve swap their gifts. Then, Action 15 repeats. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Action 16 repeats. Then, Alice and Dave swap their gifts. Then, Action 14 repeats. Then, Action 15 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Action 6 repeats. Then, Action 35 repeats. Then, nothing happens for a while. Then, Action 15 repeats. Then, Bob and Fred swap their gifts (let's call it Action 55). Then, Action 51 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Bob swap their gifts (let's call it Action 56). Then, Alice and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Action 37 repeats. Then, Action 16 repeats. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Action 35 repeats. Then, Alice and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 16 repeats. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something (let's call it Action 57). Then, Eve and Fred swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 13 repeats. Then, Action 21 repeats. Then, Action 18 repeats. Then, Action 12 repeats. Then, Fred and Claire swap their gifts (let's call it Action 58). Then, Action 29 repeats. Then, Bob and Claire swap their gifts. Then, Claire and Fred swap their gifts (let's call it Action 59). Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Action 49 repeats. Then, Fred and Claire swap their gifts. Then, Action 59 repeats. Then, Fred and Gertrude swap their gifts. Then, Eve and Claire swap their gifts. Then, Action 26 repeats. Then, Eve and Claire swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 42 repeats. Then, Bob and Dave swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 35 repeats. Then, Alice and Fred swap their gifts. Then, Action 24 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something (let's call it Action 60). Then, Alice and Bob swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Action 24 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, nothing happens for a while. Then, Action 38 repeats. Then, Gertrude and Dave swap their gifts. Then, Action 19 repeats. Then, Gertrude and Claire swap their gifts. Then, Action 41 repeats. Then, Alice and Eve swap their gifts. Then, Fred and Bob swap their gifts. Then, Action 55 repeats. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something (let's call it Action 61). Then, Bob and Claire swap their gifts. Then, Action 25 repeats. Then, Bob and Gertrude swap their gifts. Then, Action 5 repeats. Then, Bob and Dave swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Action 15 repeats. Then, Action 25 repeats. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Action 38 repeats. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something (let's call it Action 62). Then, Dave and Gertrude swap their gifts. Then, Alice and Eve swap their gifts. Then, Action 18 repeats. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Action 37 repeats. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Action 55 repeats. Then, Bob and Fred discuss something (let's call it Action 63). Then, Bob and Fred swap their gifts. Then, Alice and Bob swap their gifts. Then, Dave and Claire swap their gifts. Finally, Claire and Alice swap their gifts. At the end of the event, Eve has the\nOptions:\n(A) green present\n(B) blue present\n(C) red present\n(D) purple present\n(E) brown present\n(F) white present\n(G) yellow present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "c57a6606fdb677b6b53aadca675468781fc11fd8250081bc6847d83429ab638d",
    "id": "bbeh:shuffled_objects:168",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a orange ball, Claire has a white ball, Dave has a pink ball, Eve has a blue ball, Fred has a yellow ball, and Gertrude has a black ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Eve swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Fred and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Alice and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Alice swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Claire swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Fred and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Fred swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Fred and Claire swap balls. Then, Alice and Bob swap balls. Finally, Dave and Gertrude swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) green ball\n(B) orange ball\n(C) white ball\n(D) pink ball\n(E) blue ball\n(F) yellow ball\n(G) black ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "eed1f33148980aa1ddfcec381ccf5c284eb62388ad2a183d22a2ff162d3a5349",
    "id": "bbeh:shuffled_objects:172",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a blue ball, Bob has a orange ball, Claire has a black ball, Dave has a brown ball, Eve has a pink ball, Fred has a white ball, and Gertrude has a purple ball.\nAs the game progresses, pairs of players trade balls. First, Alice and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude swap balls. Then, Fred and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Dave swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Alice swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Claire and Bob swap balls. Then, Dave and Alice swap balls. Finally, Bob and Fred swap balls. At the end of the game, Bob has the\nOptions:\n(A) blue ball\n(B) orange ball\n(C) black ball\n(D) brown ball\n(E) pink ball\n(F) white ball\n(G) purple ball",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "5dd901862648b2d20d38f381004e3fcdfd92b4e232369dc31d42f727a4f2c477",
    "id": "bbeh:shuffled_objects:183",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing right midfielder, Bob is playing fullback, Claire is playing center midfielder, Dave is playing left midfielder, Eve is playing striker, Fred is playing cheerleader, and Gertrude is playing goalkeeper.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Bob trade positions. Then, Dave and Alice trade positions (let's call it Action 1). Then, Dave and Alice discuss something (let's call it Action 2). Then, Dave and Alice trade positions. Then, Gertrude and Eve trade positions (let's call it Action 3). Then, Gertrude and Eve discuss something (let's call it Action 4). Then, Gertrude and Eve trade positions. Then, nothing happens for a while (let's call it Action 5). Then, Claire and Fred trade positions (let's call it Action 6). Then, Fred and Gertrude trade positions (let's call it Action 7). Then, Gertrude and Fred trade positions (let's call it Action 8). Then, Fred and Claire trade positions (let's call it Action 9). Then, Alice and Eve trade positions (let's call it Action 10). Then, Alice and Eve discuss something (let's call it Action 11). Then, Action 10 repeats. Then, nothing happens for a while. Then, Dave and Claire trade positions (let's call it Action 12). Then, Claire and Dave trade positions (let's call it Action 13). Then, nothing happens for a while. Then, Claire and Gertrude trade positions (let's call it Action 14). Then, Gertrude and Claire trade positions (let's call it Action 15). Then, Claire and Alice trade positions (let's call it Action 16). Then, Alice and Fred trade positions (let's call it Action 17). Then, Fred and Alice trade positions (let's call it Action 18). Then, Alice and Claire trade positions (let's call it Action 19). Then, Alice and Gertrude trade positions (let's call it Action 20). Then, Alice and Gertrude discuss something (let's call it Action 21). Then, Alice and Gertrude trade positions. Then, Action 1 repeats. Then, Alice and Dave trade positions (let's call it Action 22). Then, Dave and Eve trade positions (let's call it Action 23). Then, Eve and Claire trade positions (let's call it Action 24). Then, Claire and Eve trade positions (let's call it Action 25). Then, Eve and Dave trade positions (let's call it Action 26). Then, Gertrude and Alice trade positions (let's call it Action 27). Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Action 20 repeats. Then, Fred and Claire trade positions. Then, Action 25 repeats. Then, Eve and Claire trade positions. Then, Claire and Fred trade positions. Then, Alice and Bob trade positions (let's call it Action 28). Then, Bob and Dave trade positions (let's call it Action 29). Then, Dave and Bob trade positions (let's call it Action 30). Then, Bob and Alice trade positions (let's call it Action 31). Then, Dave and Gertrude trade positions (let's call it Action 32). Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions (let's call it Action 33). Then, Gertrude and Dave trade positions (let's call it Action 34). Then, Bob and Eve trade positions (let's call it Action 35). Then, Eve and Bob trade positions (let's call it Action 36). Then, Fred and Eve trade positions (let's call it Action 37). Then, Fred and Eve discuss something (let's call it Action 38). Then, Fred and Eve trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something (let's call it Action 39). Then, Alice and Bob trade positions. Then, Action 31 repeats. Then, Bob and Alice discuss something (let's call it Action 40). Then, Action 31 repeats. Then, Dave and Alice trade positions. Then, Action 2 repeats. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 41). Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Action 34 repeats. Then, Action 32 repeats. Then, Gertrude and Eve trade positions. Then, Action 26 repeats. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Action 34 repeats. Then, Dave and Eve trade positions. Then, Bob and Gertrude trade positions (let's call it Action 42). Then, Gertrude and Bob trade positions (let's call it Action 43). Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 44). Then, Claire and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Action 3 repeats. Then, Action 32 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 5 repeats. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something (let's call it Action 45). Then, Gertrude and Bob trade positions. Then, Action 5 repeats. Then, Action 7 repeats. Then, Action 34 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions (let's call it Action 46). Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 47). Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 48). Then, Fred and Bob trade positions (let's call it Action 49). Then, Bob and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Action 1 repeats. Then, Alice and Dave trade positions. Then, Action 23 repeats. Then, Action 46 repeats. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions (let's call it Action 50). Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 51). Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 5 repeats. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something (let's call it Action 52). Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something (let's call it Action 53). Then, Gertrude and Claire trade positions. Then, Action 29 repeats. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Action 27 repeats. Then, Alice and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Action 50 repeats. Then, Dave and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Action 36 repeats. Then, Eve and Bob discuss something (let's call it Action 54). Then, Action 36 repeats. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Claire and Dave trade positions. Then, Action 51 repeats. Then, Fred and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something (let's call it Action 55). Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Claire trade positions (let's call it Action 56). Then, Claire and Bob trade positions (let's call it Action 57). Then, Bob and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Action 22 repeats. Then, Bob and Fred trade positions. Then, Action 18 repeats. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something (let's call it Action 58). Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 59). Then, Eve and Dave trade positions. Then, Action 5 repeats. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something (let's call it Action 60). Then, Action 18 repeats. Then, Gertrude and Dave trade positions. Then, Action 48 repeats. Then, Bob and Fred discuss something (let's call it Action 61). Then, Bob and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Action 36 repeats. Then, Action 35 repeats. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 37 repeats. Then, Action 12 repeats. Then, Claire and Dave trade positions. Then, Gertrude and Claire trade positions. Then, Action 53 repeats. Then, Action 15 repeats. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something (let's call it Action 62). Then, Gertrude and Alice trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something (let's call it Action 63). Then, Claire and Alice trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 42 repeats. Then, Bob and Gertrude discuss something (let's call it Action 64). Then, Bob and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Action 5 repeats. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Action 5 repeats. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something (let's call it Action 65). Then, Action 29 repeats. Then, Dave and Fred trade positions. Then, Eve and Bob trade positions. Then, Action 56 repeats. Then, Claire and Bob trade positions. Then, Action 35 repeats. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Action 15 repeats. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Bob trade positions. Then, Action 29 repeats. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Action 57 repeats. Then, Bob and Claire trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something (let's call it Action 66). Then, Fred and Dave trade positions. Then, Action 16 repeats. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something (let's call it Action 67). Then, Eve and Claire trade positions. Then, Action 8 repeats. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Action 42 repeats. Then, Gertrude and Alice trade positions. Then, Action 20 repeats. Then, Action 43 repeats. Then, Action 5 repeats. Then, Action 5 repeats. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Action 27 repeats. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something (let's call it Action 68). Then, Action 30 repeats. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Action 10 repeats. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something (let's call it Action 69). Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Fred and Gertrude trade positions. Finally, Fred and Claire trade positions. At the end of the match, Bob is playing\nOptions:\n(A) right midfielder\n(B) fullback\n(C) center midfielder\n(D) left midfielder\n(E) striker\n(F) cheerleader\n(G) goalkeeper",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "4de1f33d6a96d3a964dff24ed73e709c43447da7aaacdc32846a2f0b1806d08d",
    "id": "bbeh:shuffled_objects:185",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a green present, Bob has a yellow present, Claire has a red present, Dave has a white present, Eve has a pink ball, Fred has a blue present, and Gertrude has a purple present.\nAs the event progresses, pairs of people swap gifts. First, Fred and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something. Then, Fred and Dave swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, Dave and Claire swap their gifts. Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something. Then, Fred and Dave swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Claire and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Fred and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something. Then, Alice and Claire swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something. Then, Alice and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Dave and Gertrude swap their gifts. Finally, Claire and Alice swap their gifts. At the end of the event, Gertrude has the\nOptions:\n(A) green present\n(B) yellow present\n(C) red present\n(D) white present\n(E) pink ball\n(F) blue present\n(G) purple present",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "79ff713911dc2e662c8f9841d00501cc673b5aad4c107110c34408f617455e06",
    "id": "bbeh:shuffled_objects:186",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Patrick, Bob is dancing with Lola, Claire is dancing with Izzi, Dave is dancing with Rodrigo, Eve is dancing with Helga, Fred is dancing with Sam, and Gertrude is dancing with Melissa.\nThroughout the song, the dancers often trade partners. First, Eve and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Fred and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something. Then, Claire and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Alice and Dave switch partners. Then, Claire and Alice switch partners. Finally, Alice and Dave switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Patrick\n(B) Lola\n(C) Izzi\n(D) Rodrigo\n(E) Helga\n(F) Sam\n(G) Melissa",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "7bdaf97c12ac2d508b456d2aca28015eda34ee2f72588366ba6339cebe0e59f4",
    "id": "bbeh:shuffled_objects:191",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is dancing with Helga, Claire is dancing with Ophelia, Dave is dancing with Lola, Eve is dancing with Melissa, Fred is dancing with Patrick, and Gertrude is dancing with Jamie.\nThroughout the song, the dancers often trade partners. First, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Dave and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice switch partners. Then, Eve and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Eve and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Eve switch partners. Then, Fred and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Fred switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Bob and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Alice switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Fred switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Alice switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Alice and Eve switch partners. Finally, Gertrude and Bob switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Sam\n(B) Helga\n(C) Ophelia\n(D) Lola\n(E) Melissa\n(F) Patrick\n(G) Jamie",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "bbbc890cdb9e76d3775a39b8cfb7b873602e810fdb2a852ffd022025008a62eb",
    "id": "bbeh:shuffled_objects:198",
    "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Karl, Bob is dancing with Izzi, Claire is dancing with Melissa, Dave is dancing with Lola, Eve is dancing with Rodrigo, Fred is dancing with Helga, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Alice and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Claire and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Claire and Gertrude switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Fred and Bob switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Dave switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Dave and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Dave and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Dave switch partners. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Fred and Gertrude switch partners. Finally, Claire and Dave switch partners. At the end of the dance, Claire is dancing with\nOptions:\n(A) Karl\n(B) Izzi\n(C) Melissa\n(D) Lola\n(E) Rodrigo\n(F) Helga\n(G) Patrick",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "shuffled_objects"
  },
  {
    "dataset": "bbeh",
    "family": "09359d994e495140d665fbc92395ed2108a3ced420f392843d8287bb328782ad",
    "id": "bbeh:spatial_reasoning:000",
    "request": "You have been given a circular path consisting of 12 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a computer keyboard. Moving in a clockwise direction from the computer keyboard, the elements on the path are a library, a mailbox, a parachute, a Granny Smith, a plate, a Komodo dragon, a southern black widow, a quail, a forklift, a medicine chest, and a hornbill. Starting from the southern black widow, you move around the ring by 4 steps in a counter-clockwise direction, and you move around the ring by 4 steps in a counter-clockwise direction, and you move around the ring by 8 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "2d5b361d17bc960916a1c3599a51e63fd0b4ba7660f0600c75dcce4ec3fcc863",
    "id": "bbeh:spatial_reasoning:006",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a mug. Then you move down-left for one step and see a kiwi. Then you don't move for a while. Then you move down-left for one step and see a laptop. Then you move down-right for one step and see a plum. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a banana. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a crib. Then you move down-left for one step and see a pencil. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a shampoo. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a rug. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a bike. Then you don't move for a while. Then you move down-right for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a towel. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a book. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step and see a cake. Then you move down-right for one step and see a cell phone. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a bear. Then you don't move for a while. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a snake. Then you don't move for a while. Then you move up-right for one step and see a tart. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a toy. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "9d414ad21cd6bdfe5fcef570a05661957fa51d5dd5e09176b714d3a1ef802f69",
    "id": "bbeh:spatial_reasoning:010",
    "request": "You have been given a tree structure with 533 nodes. skateboard, rock, and crystal are siblings. ethics has no children. frog has no grandchildren. program has 4 children: cheese, helmet, prediction, and email. image has no children. coffee has no grandchildren but has 3 children: company, cache, and profile. future has no children. shovel has no children. garlic has no grandchildren. monkey has no grandchildren. washer has no children. stapler has two children; narrative and physics. output has no grandchildren but has 2 children: coin and thought. archive has 4 children: lettuce, rocket, sustainability, and belt. initiative has no children. roof has no grandchildren. economics has no grandchildren. skateboard has 10 grandchildren: marker, machine, and empowerment (whose parent is input), screen, signal, and mathematics (whose parent is muscle), and laugh, elegance, hope, and clock (whose parent is root). cricket has no grandchildren. bean has no grandchildren. evaluation has no children. failure has no grandchildren. hashtag has no grandchildren. news has no grandchildren but has 5 children: report, lesson, clip, brick, and structure. shelter has no children. trophy has no children. marketing has no grandchildren. microphone has 6 grandchildren: tool, thread, and campaign (whose parent is tradition) and internet, temple, and cloud (whose parent is activation). drill has 3 children: sword, fig, and hub. sociology has no grandchildren. fabric has no grandchildren. razor has no children. shampoo has no children. calendar has no children. cloud has no children. wrench has no children. username has no grandchildren but has 2 children: merge and disk. luster has no grandchildren. shield has 4 children: regression, pot, contrast, and storage. broccoli has no children. sparkle has no children. park has no children. pepper has no children. marker has 20 grandchildren: key, equality, tint, and variable (whose parent is circuit), form, backpack, and pasta (whose parent is simulation), raspberry, book, leadership, strength, and correlation (whose parent is celery), biology, clarity, and house (whose parent is method), and phase, link, diode, concert, and needle (whose parent is bridge). festival has no grandchildren. document has no grandchildren. history has 5 children: result, font, finger, bandage, and monkey. algorithm has no grandchildren. helmet has no grandchildren but has 5 children: heuristic, statue, tab, couch, and saw. concert has no grandchildren. pot has 3 children: augmented, fixture, and scarf. physics has no children. system has no grandchildren. problem has no grandchildren but has 4 children: button, drink, decoration, and plant. paint has no grandchildren. politics has no children. eye has no grandchildren. workflow has no children. bone has no grandchildren but has 2 children: treasure and protocol. branch has no grandchildren but has 3 children: stamp, presentation, and idea. lock has no children. biology has no grandchildren. plate has no grandchildren. processor has no grandchildren. challenge has 5 children: bead, friend, grape, glue, and commit. phase has no children. desk has no grandchildren. earrings has no children. follower has 5 children: money, shampoo, sand, failure, and flower. butter has no grandchildren. corn has no grandchildren but has 5 children: city, account, package, code, and documentary. ticket has no children. collaboration has no grandchildren. prompt has no grandchildren. augmented has no children. voltage has no children. wing has 5 children: performance, health, furniture, texture, and spider. connection has no grandchildren. revolution has no children. keys has no grandchildren. ceiling has no grandchildren but has 5 children: motorcycle, gradient, wave, lemon, and power. drum has no children. kite has no grandchildren. artifact has no children. objective has 11 grandchildren: news, tone, and bowl (whose parent is drawing), adapter, container, and box (whose parent is battery), and tower, icecream, problem, present, and stapler (whose parent is router). nose has no children. event has no grandchildren. cow has no grandchildren. castle has no grandchildren. book has no grandchildren. cup has no children. shine has 4 children: phone, zucchini, food, and hill. song has no children. foot has no grandchildren. rocket has 5 children: memory, algorithm, advantage, transition, and medicine. tunnel has no grandchildren. raccoon has no grandchildren. anthropology has no children. love has no grandchildren. optimization has no grandchildren. truck has no grandchildren. campaign has no children. variable has no children. weight has no children. search has no grandchildren but has 3 children: watch, size, and growth. result has no children. principle has no children. train has no children. island has no children. transistor has no children. nail has no children. donut has no grandchildren. laugh has 4 children: username, fire, output, and dishwasher. jar has no children. chip has 5 children: avocado, lake, toothbrush, trophy, and truck. correlation has no children. tower has two children; sandwich and broccoli. icecream has 5 children: unity, transistor, analysis, image, and management. spider has no children. experiment has 3 children: raccoon, plane, and compass. socket has no grandchildren but has 4 children: communication, exhibition, color, and belief. cat has no grandchildren but has 5 children: soap, value, purse, axe, and sign. editor has 5 grandchildren: yogurt, wing, and actuator (whose parent is peach) and experiment and follower (whose parent is sequin). sand has no children. tiger has 5 children: corn, medal, history, virtual, and effectiveness. solution has no children. cucumber has two children; evaluation and seminar. psychology has no grandchildren. emotion has no children. mountain has no grandchildren. lime has 17 grandchildren: cable, wool, and waterfall (whose parent is fur), beach and skin (whose parent is lion), luster, shovel, leather, connector, and shoes (whose parent is cereal), validation, capacitor, and burger (whose parent is toothpaste), and topic, voltage, island, and policy (whose parent is interaction). tint has no children. video has no grandchildren. sword has no children. keyboard has no grandchildren. form has no grandchildren. narrative has no grandchildren. present has no grandchildren but has 2 children: computer and amplitude. header has no children. link has no grandchildren. virtual has 3 children: hashtag, freezer, and fear. temple has no grandchildren. avocado has no children. cable has no children. resource has no grandchildren. wool has no children. scroll has no children. remote has no grandchildren. grass has 4 children: deploy, depth, lock, and song. relic has no grandchildren. zebra has no grandchildren. signal has 9 grandchildren: ethics, donut, emotion, helicopter, and keyboard (whose parent is wire) and wrench, pencil, neural, and change (whose parent is disadvantage). stage has no children. tablet has no grandchildren. leather has no children. flag has 4 children: celebration, workshop, planet, and dryer. fire has no grandchildren but has 4 children: crab, process, kangaroo, and business. morality has no grandchildren. heart has no children. box has no grandchildren but has 3 children: rain, ant, and landscape. seminar has no grandchildren. bandage has no grandchildren. dryer has no grandchildren. empowerment has 12 grandchildren: video, floor, matrix, and function (whose parent is service), keys and connection (whose parent is portrait), dirt, future, system, and river (whose parent is mosquito), and foot and nail (whose parent is beauty). museum has no grandchildren but has 5 children: door, plugin, platform, map, and media. pencil has no grandchildren. rabbit has no children. scooter has no grandchildren. elegance has 5 grandchildren: air, morality, and pants (whose parent is webpage) and content and thorn (whose parent is transaction). movement has no grandchildren but has 3 children: page, quantum, and illusion. skin has no grandchildren. rhythm has no grandchildren. compass has no grandchildren. apple has no children. layer has no grandchildren. change has no children. meeting has no children. function has no grandchildren. thread has no children. theory has no children. transformation has no grandchildren. hair has no children. domain has no grandchildren. freezer has no children. container has no grandchildren but has 4 children: mouse, addon, doll, and philosophy. dishwasher has 3 children: goodness, digital, and leaf. river has no children. grape has two children; partnership and science. building has 5 children: standard, duck, revolution, charger, and zebra. printer has 3 children: trend, bone, and ceiling. hope has 17 grandchildren: candle, cow, and sponge (whose parent is ruler), anthropology, butter, weight, transformation, and rhythm (whose parent is anger), advertisement, balloon, meeting, and razor (whose parent is hate), and solution, cricket, blueberry, bear, and sales (whose parent is widget). legacy has no children. font has no grandchildren. chat has no children. diode has no children. glue has 4 children: park, shelter, silence, and inductor. science has no children. burger has no grandchildren. management has no children. adapter has no grandchildren but has 2 children: toe and pan. actuator has two children; scroll and elephant. energy has two children; cat and movement. pineapple has 5 children: economics, candy, education, gem, and washer. sandwich has no grandchildren. contrast has no grandchildren but has 5 children: car, ladder, frequency, game, and hue. backpack has no children. file has no grandchildren. digital has no children. earth has no children. strength has no children. blueberry has no grandchildren. bear has no grandchildren. snake has no grandchildren but has 2 children: school and emphasis. cheese has no grandchildren but has 5 children: social, evolution, concept, snail, and architecture. justice has no children. appliance has no children. advantage has no grandchildren. validation has no grandchildren. candle has no grandchildren. class has 5 children: printer, lime, tiger, sadness, and challenge. cave has 9 grandchildren: jar, finance, document, classification, and teamwork (whose parent is wine) and desk, nose, justice, and mountain (whose parent is necklace). friend has 3 children: globe, principle, and ball. network has no children. plane has no children. neural has no children. tone has no grandchildren but has 3 children: accountability, spectrum, and card. internet has no grandchildren. sadness has 6 grandchildren: badge and tunnel (whose parent is kiwi) and network, hair, earth, and town (whose parent is shadow). money has no children. effectiveness has 5 children: workflow, shortcut, ticket, appliance, and psychology. planet has no children. toothbrush has no children. yogurt has no grandchildren but has 4 children: ribbon, simplicity, eggplant, and oven. topic has no children. query has no grandchildren. storage has 3 children: plate, bean, and drum. corporation has no grandchildren. elephant has no children. cherry has no grandchildren. template has no children. hill has no children. email has no grandchildren but has 4 children: smoke, conference, cake, and website. bottle has no grandchildren. belt has 4 children: instrument, event, theory, and development. texture has no grandchildren. medal has no grandchildren but has 4 children: trumpet, server, steak, and frame. goodness has no grandchildren. knife has no grandchildren. clarity has no grandchildren. air has no children. finance has no grandchildren. message has no children. pants has no grandchildren. content has no children. sales has no children. regression has no grandchildren but has 3 children: application, broom, and dream. candy has no children. connector has no children. toy has no children. astronomy has 4 children: earrings, apple, relic, and pizza. fixture has no grandchildren. creativity has no children. teamwork has no children. mirror has no grandchildren. shortcut has no children. equipment has 5 children: grass, pineapple, venture, diversity, and socket. house has no children. celebration has no children. leadership has no grandchildren. strawberry has 15 grandchildren: variety, resource, train, shade, and politics (whose parent is cotton), template, collaboration, and calendar (whose parent is field), layer, kite, scooter, and knife (whose parent is accessory), and initiative, harmony, and fabric (whose parent is address). performance has no grandchildren. rock has 5 grandchildren: program, shield, strawberry, microphone, and energy (whose parent is dustpan) and 1 children: recommendation. equality has no grandchildren. diary has no grandchildren. finger has no children. development has no grandchildren. fig has no grandchildren. camera has two children; pepper and bucket. scarf has no children. inspiration has no children. key has no children. badge has no children. matrix has no grandchildren. zucchini has no grandchildren. workshop has no grandchildren. trend has no grandchildren but has 3 children: technology, scissors, and valley. capacitor has no children. commit has 5 children: remote, salt, mirror, roof, and diary. machine has 16 grandchildren: cluster, cherry, love, toy, and festival (whose parent is lecture), frog, sociology, optimization, bottle, and shirt (whose parent is theme), artifact and file (whose parent is jewel), processor and rabbit (whose parent is date), and message and tablet (whose parent is icon). waterfall has no children. crystal has 5 children: wall, objective, paper, editor, and class. inductor has no grandchildren. partnership has no grandchildren. raspberry has no children. device has no grandchildren but has 3 children: chicken, efficiency, and fox. policy has no children. meaning has 5 children: inspiration, worm, corporation, convention, and prompt. silence has no children. helicopter has no grandchildren. globe has no children. bead has no grandchildren but has 4 children: spoon, milk, motivation, and snow. instrument has no grandchildren. town has no grandchildren. thorn has no grandchildren. shirt has no children. prediction has no grandchildren but has 2 children: egg and speaker. flower has no grandchildren. screen has 4 children: camera, meaning, building, and chip. shade has no children. education has no children. lake has no children. bowl has 4 children: eye, heart, sparkle, and garlic. avatar has no grandchildren. clock has 3 children: snake, cucumber, and shine. mathematics has 9 grandchildren: query, marketing, creativity, and castle (whose parent is fries) and paint, legacy, cup, domain, and stage (whose parent is ice). food has no grandchildren. harmony has no children. shoes has no grandchildren. floor has no children. worm has no children. sponge has no grandchildren. charger has no grandchildren. convention has no grandchildren. deploy has no grandchildren. memory has no grandchildren. medicine has no grandchildren. sustainability has no grandchildren but has 4 children: goat, rat, enterprise, and dress. beach has no children. classification has no grandchildren. balloon has no grandchildren. standard has no grandchildren. hub has no children. bucket has no grandchildren. health has no grandchildren. dirt has no grandchildren. furniture has no grandchildren. venture has no grandchildren but has 4 children: stove, vacuum, debugger, and scale. pizza has no grandchildren. wall has 8 grandchildren: flag, drill, and coffee (whose parent is happiness), device and search (whose parent is chair), and museum, branch, and astronomy (whose parent is ritual). gem has no grandchildren. pasta has no grandchildren. leaf has no children. duck has no grandchildren. cluster has no grandchildren. ball has no grandchildren. phone has no children. transition has no children. advertisement has no children. unity has no children. needle has no grandchildren. analysis has no grandchildren. salt has no children. lettuce has two children; header and avatar. variety has no grandchildren. fear has no children. pin has no children. diversity has two children; chat and pin. tool has no grandchildren. depth has no grandchildren. paper has 3 children: equipment, archive, and cave. What is the cousin of the device? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "7f55b846df41424be8103b0ebfdd523cf648709933f2e1ab738f5d77d28a8a91",
    "id": "bbeh:spatial_reasoning:011",
    "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the right corner of the grid, where you find an oystercatcher. You move down-left by one step, where you find a harp. You move down-left by one step, where you find a slot machine. You move up-left by one step, where you find a table lamp. You move up-left by one step, where you find a fly. You move up-right by one step, where you find a guacamole. You move up-right by one step, where you find a saxophone. You move down-right by one step, where you find a tandem bicycle. You move down-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "b6edcaa80a3174f199c8a573132b656995b9632ab04f4c6154d9cc1c2cb643f4",
    "id": "bbeh:spatial_reasoning:012",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a football. Then you move down-left for one step and see a lemon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a kiwi. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a strawberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a mango. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a spoon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a toy. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a fish. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bike. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a dog. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step and see a cake. Then you don't move for a while. Then you move down-left for one step and see a cucumber. Then you move down-right for one step and see a carrot. Then you move down-left for one step and see a lychee. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a can. Then you don't move for a while. Then you move down-left for one step and see a walnut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a stone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a desk. Then, you jump to a random vertex V where you see a mug. Then you move up-right for one step and see a cat. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a paper. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a book. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a snowball. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a blackberry. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step and see a tart. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grapefrut. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bear. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a bed. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a cell phone. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step and see a doll. Then you move up-right for one step and see a walnut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you jump back to the random vertex V and do the following moves: up-right, up-right, down-right, down-left, up-right, up-right. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "2f2a13e035e4645d53d6ebb12751373858501de66707a9c33020673ad034b36c",
    "id": "bbeh:spatial_reasoning:014",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a pen. Then you move down-right for one step and see a grape. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a toy. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a football. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a soap. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a flower. Then you move down-left for one step and see a fox. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mug. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a clementine. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a blackberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a grater. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a lamp. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a crib. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bear. Then you move down-right for one step. Then you move down-right for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a knife. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a raspberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a basket. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step and see a bread. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a paper. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a tomato. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
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    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "50eecd97248fba827eefc241d6f36acbd54b755dbe07fa55e3e9f8a37b0513c5",
    "id": "bbeh:spatial_reasoning:015",
    "request": "You have been given a tree structure with 680 nodes. beard, sparkle, and towel are siblings. bean has 5 children: wool, transaction, sugar, pizza, and fence. sheet has no grandchildren but has 2 children: regression and chicken. story has no grandchildren but has 2 children: webpage and anchor. deploy has no grandchildren. island has no grandchildren. hospital has no children. exhibition has no grandchildren. screen has no grandchildren. squirrel has 3 children: apple, peach, and light. client has no grandchildren. bridge has 3 children: shape, soup, and tongue. objective has no children. cherry has no grandchildren. film has no grandchildren. workflow has no children. shirt has 4 children: snail, root, building, and dustpan. building has no children. pin has no grandchildren but has 2 children: drums and digital. dishwasher has no children. code has no children. bee has no grandchildren but has 4 children: dryer, application, mirror, and ornament. ecosystem has no grandchildren. rubber has no grandchildren. risk has no children. documentary has no grandchildren. mountain has no children. raccoon has 4 children: kiwi, dress, energy, and contrast. chocolate has no children. key has no children. claw has no grandchildren. fear has no children. diary has no children. wrench has no grandchildren. anger has no grandchildren but has 2 children: venture and turtle. airplane has two children; bead and wire. pipeline has no children. rain has no children. finance has no grandchildren. toothbrush has no grandchildren. goat has no grandchildren. motorcycle has no grandchildren. router has 5 children: disk, orange, burger, air, and fries. laptop has no grandchildren. paint has no children. grass has no children. machine has 3 children: fire, tissue, and index. guideline has no grandchildren. value has 3 children: checkbox, ribbon, and finance. pineapple has no grandchildren. notification has two children; projector and cereal. purpose has no grandchildren but has 5 children: responsibility, doll, goodness, river, and accessory. necklace has two children; wallet and badge. shield has no children. garden has no grandchildren but has 3 children: pea, ruler, and store. book has two children; engine and house. kangaroo has no grandchildren but has 5 children: smoke, content, nest, tablet, and vector. probability has no children. phase has no grandchildren. horse has no grandchildren but has 4 children: clothing, sun, thread, and footer. company has 4 children: risk, form, key, and sociology. sea has no grandchildren but has 5 children: photo, eraser, improvement, landscape, and lobster. literature has no children. raspberry has no grandchildren but has 4 children: influence, density, movement, and dog. transaction has no children. repository has 6 grandchildren: church and cake (whose parent is font) and coin, earth, moon, and remote (whose parent is ladder). lamp has no children. tooth has no grandchildren. motivation has no children. fire has 5 children: drum, ear, economics, desk, and marketing. contrast has no children. town has no grandchildren. wolf has no grandchildren. badge has no children. stage has no grandchildren. page has no grandchildren. backpack has no grandchildren. pill has no grandchildren. road has no grandchildren. volume has no grandchildren but has 3 children: memory, platform, and melon. pumpkin has no children. interface has no grandchildren. watch has no grandchildren but has 3 children: storage, freedom, and zebra. tissue has two children; seminar and linguistics. blog has no grandchildren but has 2 children: merge and banner. foot has no children. hope has no grandchildren. wool has no children. sociology has no grandchildren. socks has no grandchildren. earrings has no grandchildren. clock has no grandchildren. template has no grandchildren but has 5 children: ritual, cassette, hair, tensor, and container. blanket has no grandchildren but has 4 children: castle, problem, nail, and spoon. tongue has no children. current has no grandchildren. mop has no grandchildren but has 4 children: bracelet, belt, tactic, and tower. resistor has no grandchildren. cloud has 11 grandchildren: trend, festival, and sea (whose parent is pepper), legacy, organization, and elephant (whose parent is principle), and convention, email, anger, beak, and address (whose parent is fabric). bear has no grandchildren. fixture has 5 children: mosquito, couch, software, inductor, and guideline. violin has two children; illusion and tooth. camera has no grandchildren. engineering has no grandchildren. skin has 9 grandchildren: window, signal, class, lake, and coffee (whose parent is addon), sunglasses and challenge (whose parent is smile), and debugger and stamp (whose parent is crab). grape has no grandchildren. bottle has 4 children: silk, steak, comb, and asparagus. flower has no grandchildren. sheep has no grandchildren. branch has 5 children: needle, sword, procedure, candy, and garden. validation has 4 children: medicine, dance, toe, and book. floor has no children. actuator has no grandchildren. beak has no grandchildren. pants has no grandchildren. truck has no grandchildren. turkey has no grandchildren. wave has no children. avocado has no children. label has no grandchildren but has 4 children: shrimp, game, library, and brush. toolbar has no grandchildren. moon has two children; hardware and theory. coat has no children. wire has no grandchildren. tradition has two children; metal and spectrum. feeling has no grandchildren. reflection has no children. beard has 5 children: cloud, router, jar, repository, and dirt. television has no grandchildren but has 4 children: activity, marker, layer, and eggplant. wisdom has no children. performance has no grandchildren but has 4 children: frog, diversity, present, and wing. energy has no children. audio has no children. socket has no children. debugger has no children. kiwi has no children. document has no children. spinach has no grandchildren but has 5 children: blood, happiness, skirt, milk, and distribution. cotton has no children. window has no children. kite has no children. bus has 5 children: puzzle, fear, header, ecosystem, and analysis. ear has no children. toe has no grandchildren but has 2 children: culture and sandwich. trend has no grandchildren but has 4 children: cursor, change, chair, and beach. address has no grandchildren but has 3 children: commit, connection, and stove. giraffe has no children. status has no children. zucchini has 3 children: coral, raspberry, and hat. notebook has no grandchildren. salt has no children. skateboard has 19 grandchildren: drill, lock, soap, heuristic, and lettuce (whose parent is sales), voltage, pattern, and wolf (whose parent is candle), claw, ring, processor, and pill (whose parent is sky), shadow, donut, foot, shade, and document (whose parent is experience), and phase and tint (whose parent is broccoli). inductor has no grandchildren. silence has no children. marketing has no grandchildren. museum has 5 children: grape, editor, shield, laptop, and wisdom. geology has no grandchildren. connector has no grandchildren but has 5 children: message, squash, furniture, knife, and hand. headphones has 3 children: bee, bus, and volume. heuristic has no grandchildren. jar has 9 grandchildren: museum, template, tradition, and purpose (whose parent is diode) and play, kangaroo, fixture, shirt, and patch (whose parent is drawing). process has 5 children: ocean, rocket, input, corn, and audio. advertisement has two children; proportion and drink. cave has no grandchildren. style has no grandchildren but has 2 children: tiger and server. evaluation has no grandchildren but has 3 children: razor, workshop, and file. sponge has no grandchildren. shortcut has no children. ticket has no children. standard has no children. card has no grandchildren. air has 10 grandchildren: peace and blueberry (whose parent is jewel), wrench and lamp (whose parent is query), regulation and tab (whose parent is education), and spider, cloth, goat, and island (whose parent is dropdown). mug has no grandchildren. spectrum has no grandchildren. strategy has 4 children: microwave, engagement, icecream, and money. proportion has no children. oven has no grandchildren. earth has 5 children: umbrella, threat, switch, hospital, and stage. slug has no grandchildren. orange has two children; conference and style. lettuce has no grandchildren. cereal has no grandchildren. drum has no children. patch has no grandchildren but has 3 children: menu, music, and statue. hashtag has no grandchildren but has 3 children: task, bed, and valley. relationship has no children. internet has no grandchildren but has 3 children: food, model, and arrow. parameter has 4 children: screwdriver, gathering, cat, and notification. sand has no grandchildren. architecture has 5 children: performance, celebration, connector, advantage, and blog. sunglasses has no children. cat has no grandchildren but has 4 children: leather, resource, heart, and rice. dirt has 4 children: branch, validation, mouse, and squirrel. tab has no grandchildren. ball has no grandchildren but has 4 children: solution, photograph, shovel, and campaign. soap has no children. calendar has two children; disadvantage and pig. eye has no grandchildren. shell has no grandchildren. service has no children. equipment has no grandchildren. seed has no grandchildren. needle has no grandchildren but has 2 children: initiative and map. mouse has 13 grandchildren: wave, accountability, and suitcase (whose parent is console), profile, screw, correlation, sand, and desert (whose parent is bow), resistor, topic, and fox (whose parent is wine), and socket and salt (whose parent is resilience). lace has no children. engagement has no children. analysis has no children. shade has no children. carrot has no grandchildren. hardware has no grandchildren. voltage has no grandchildren. custom has no children. shape has no grandchildren. color has no children. mosquito has no children. slider has no children. thought has no children. widget has no grandchildren but has 2 children: revolution and passion. processor has no children. computer has no grandchildren. partnership has no children. tear has no grandchildren. ribbon has no grandchildren. threat has no grandchildren. silk has no grandchildren. hate has no children. conference has 5 children: chain, brick, probability, helicopter, and rabbit. petal has 4 children: floor, giraffe, geology, and literature. profile has no children. comb has no grandchildren. helicopter has no grandchildren. couch has no children. biology has no grandchildren. puzzle has no grandchildren. dream has 4 children: policy, socks, color, and interface. email has 3 children: narrative, roof, and failure. remote has 3 children: flower, toolbar, and pineapple. cloth has no grandchildren. duck has no grandchildren. shoes has no grandchildren. drink has no grandchildren. concept has no grandchildren. module has no children. failure has no grandchildren. conditioner has no grandchildren. method has no children. advantage has no grandchildren but has 5 children: truth, spreadsheet, transition, archive, and framework. shadow has no grandchildren. coconut has no grandchildren. table has no grandchildren. report has no grandchildren. balloon has no children. roof has no children. software has no children. weight has no children. narrative has no children. policy has no grandchildren. screwdriver has no grandchildren but has 2 children: variable and news. pillow has 22 grandchildren: film, rubber, bear, tear, and toothbrush (whose parent is package), follower, development, grass, thought, and object (whose parent is ceiling), earrings, custom, screen, and ticket (whose parent is rat), hue, philosophy, balloon, and shell (whose parent is friend), and current, avocado, conditioner, and portrait (whose parent is balance). stamp has no grandchildren. lizard has no children. pattern has no children. peach has 5 children: page, actuator, module, glasses, and shoes. rock has no grandchildren but has 3 children: theme, snow, and car. convention has 4 children: seed, mouth, card, and communication. coral has two children; workflow and virtual. desert has no grandchildren. toy has no grandchildren. lake has no children. candy has no grandchildren but has 4 children: yogurt, hammer, jacket, and freezer. index has no grandchildren but has 4 children: village, password, port, and egg. cluster has no children. holiday has no grandchildren but has 3 children: waterfall, lemon, and keyboard. terminal has no children. money has no children. ladybug has no grandchildren. lock has no children. society has no children. algorithm has no grandchildren. recommendation has no grandchildren. lion has no grandchildren. seminar has no grandchildren. analog has 4 children: turkey, norm, standard, and biology. icecream has no grandchildren. wall has two children; terminal and report. cheese has no children. science has no children. coin has two children; slug and notebook. correlation has no grandchildren. sketch has no grandchildren. sensor has 5 children: coat, sculpture, equipment, town, and rain. pie has no grandchildren. fork has no grandchildren but has 4 children: account, farm, charger, and icon. medicine has no grandchildren but has 3 children: frame, popup, and efficiency. hub has no grandchildren. apple has 4 children: cotton, duck, concept, and kite. snail has no grandchildren. soup has no grandchildren. decoration has no children. trophy has no children. theory has no children. scarf has no children. rocket has no grandchildren. size has no children. bike has no grandchildren but has 4 children: banana, power, social, and event. norm has no grandchildren. microwave has no grandchildren. hat has two children; mathematics and society. input has no children. prompt has no grandchildren. checkbox has no children. plum has no children. variety has no grandchildren. sparkle has 3 children: calendar, vacuum, and paper. support has no grandchildren. challenge has no children. suitcase has no grandchildren. activation has two children; science and inspiration. linguistics has no children. brain has 4 children: raccoon, holiday, lizard, and evolution. hue has no children. paper has 19 grandchildren: evaluation, airplane, blanket, strategy, and television (whose parent is glass), hashtag, widget, value, and matrix (whose parent is nose), analog, necklace, petal, bridge, and advertisement (whose parent is function), and spinach, door, bean, video, and company (whose parent is success). idea has no grandchildren. constant has no children. sculpture has no children. video has 5 children: road, computer, star, method, and sponge. procedure has no grandchildren but has 5 children: crown, plane, mustache, clip, and school. article has 3 children: objective, deploy, and chocolate. phone has no children. gathering has no grandchildren but has 5 children: rhythm, network, garlic, curtain, and can. instrument has 4 children: wall, internet, pin, and trashcan. door has no grandchildren but has 5 children: stem, art, plate, optimization, and crystal. cake has no grandchildren but has 4 children: simulation, cable, enterprise, and ice. universe has no children. development has no children. dance has no grandchildren but has 3 children: deer, shelter, and park. result has no children. header has no children. house has no grandchildren. dustpan has no children. growth has no children. pizza has no grandchildren. management has 5 children: plum, article, rock, dream, and mop. editor has no grandchildren. legacy has no grandchildren but has 3 children: painting, symmetry, and structure. portrait has no grandchildren. projector has no children. blueberry has no grandchildren. play has no grandchildren but has 4 children: vehicle, stone, technology, and observation. celery has no grandchildren. sugar has no grandchildren. root has no grandchildren. sword has no grandchildren but has 3 children: teamwork, laugh, and trumpet. future has no grandchildren. brick has no grandchildren. spider has no grandchildren. glasses has no grandchildren. disk has 4 children: bottle, horse, watch, and bike. elephant has no grandchildren but has 2 children: augmented and history. illusion has no grandchildren. goose has 14 grandchildren: pipeline, lion, size, truck, and sketch (whose parent is gateway), documentary, celery, clock, and gem (whose parent is firewall), motivation, silence, and motorcycle (whose parent is pear), and code and trophy (whose parent is flag). corn has no grandchildren. festival has 4 children: neural, result, rope, and decoration. cabbage has no children. topic has no grandchildren. burger has two children; label and printer. drill has no grandchildren. mouth has no children. organization has 5 children: plan, service, scarf, exhibition, and hate. star has no grandchildren. signal has no grandchildren. fence has no children. celebration has no grandchildren but has 3 children: cookie, boat, and stapler. philosophy has no children. engine has no grandchildren. tint has no children. plan has no children. donut has no children. astronomy has 12 grandchildren: camera, universe, mug, diary, and status (whose parent is association), phone, plugin, and cheese (whose parent is tomato), and relationship, feeling, paint, and table (whose parent is scale). steak has no children. fox has no grandchildren. towel has 14 grandchildren: goose and machine (whose parent is harmony), instrument and parameter (whose parent is plant), brain, astronomy, skateboard, pillow, and zucchini (whose parent is chip), and headphones, architecture, skin, impact, and management (whose parent is fig). follower has no grandchildren. bone has no children. plugin has no grandchildren. wallet has no children. ocean has no grandchildren. screw has no children. impact has 8 grandchildren: cabbage, onion, growth, snake, and oven (whose parent is scooter) and constant, ladybug, and engineering (whose parent is forecast). conclusion has no children. matrix has 5 children: shortcut, client, carrot, partnership, and backpack. vacuum has 8 grandchildren: variety, sensor, activation, and story (whose parent is fish) and process, washer, sheet, and ball (whose parent is output). inspiration has no children. desk has no children. bead has no children. switch has no grandchildren. fries has two children; violin and fork. object has no children. neural has no grandchildren. evolution has no grandchildren but has 2 children: innovation and tone. light has no grandchildren but has 2 children: bread and sequin. coffee has no children. printer has no grandchildren but has 4 children: soda, bulb, texture, and mango. onion has no grandchildren. dress has no children. thorn has no grandchildren. form has no grandchildren. tape has no grandchildren. communication has no children. virtual has no children. church has 5 children: cherry, lace, sheep, bone, and support. asparagus has no children. regulation has no grandchildren. accountability has no children. rope has no grandchildren. mathematics has no children. ring has no children. metal has no grandchildren. peace has no grandchildren. pig has 6 grandchildren: conclusion and coconut (whose parent is zipper) and slider, hub, thorn, and algorithm (whose parent is rug). snake has no grandchildren. economics has no children. gem has no children. trashcan has 5 children: box, toy, prompt, cave, and cluster. disadvantage has 13 grandchildren: hope, tape, recommendation, and mountain (whose parent is leaf), dishwasher, pumpkin, and weight (whose parent is letter), future and eye (whose parent is bandage), and idea, pants, reflection, and pie (whose parent is environment). washer has no grandchildren but has 3 children: statistic, field, and effectiveness. rabbit has no children. umbrella has no children. box has no grandchildren. class has no children. chain has no children. What is the cousin of the process? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
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    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "8d2e7536800074a9cc62461144a9b1e0dc1f2931494e890ea06c3a4ce324d5e8",
    "id": "bbeh:spatial_reasoning:016",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a snowball. Then you move down-left for one step and see a bread. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a knife. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step and see a plum. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tart. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a grape. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a persimmon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a doll. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a watermelon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a snake. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step and see a can. Then you move down-left for one step and see a banana. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a potato. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a car. Then you move down-left for one step and see a soap. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-left for one step and see a raspberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a laptop. Then you don't move for a while. Then you move down-left for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a fish. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move up-left for one step and see a cat. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "c0d8fb6e0b8ce5831a41e1c9ed397268cc8a296351963a98e7d5ab289c2d1b86",
    "id": "bbeh:spatial_reasoning:021",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a lemon. Then you move down-left for one step and see a doll. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a cell phone. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a walnut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a rug. Then you don't move for a while. Then you move down-left for one step and see a cranberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a lamp. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a raspberry. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a cake. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a carrot. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step and see a lychee. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a desk. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step and see a mirror. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a mango. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step and see a snake. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "826ee55e9d920de1d7b244536937cc4f99d0240d5ed3bb64787b6856db02fa38",
    "id": "bbeh:spatial_reasoning:032",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a fig. Then you move down-left for one step and see a clementine. Then you move down-right for one step and see a blueberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a watermelon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a snowball. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a fox. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a fish. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a printer. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a pen. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a fork. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a paper. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a walnut. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a pencil. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a banana. Then you move down-right for one step and see a peanut. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a backpack. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a tart. Then you move down-right for one step and see a rug. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a statue. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a desk. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a car. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a lamp. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a pencil. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you jump back to the random vertex V and do the following moves: down-right, down-right, down-left, up-left, down-left, down-left. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "86a3e1a0334866c681c673a486042c22babaa1ce6dd25b511e32ed40845e2fb9",
    "id": "bbeh:spatial_reasoning:035",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a peanut. Then you move down-left for one step and see a car. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a strawberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step and see a fork. Then you move up-right for one step and see a fish. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a lemon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a lychee. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a shampoo. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bread. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a tiger. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a banana. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step and see a television. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a mango. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a pie. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a toy. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a clementine. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a tree. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a kiwi. Then you move down-right for one step and see a grape. Then you move down-right for one step and see a cucumber. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a printer. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a lamp. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a potato. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a blueberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "67af134008e1c9c49c0f40ce552c13c42d1c91ad29d7c9a4cbd1867bb21243b9",
    "id": "bbeh:spatial_reasoning:036",
    "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the bottom left corner of the map, where you find a goldfish. You move up by one step, where you find a kit fox. You move up-right by one step, where you find a jeep. You move down-right by one step, where you find a window shade. You move up-right by one step, where you find a hermit crab. You move up by one step, where you find a crayfish. You move up-left by one step, where you find a birdhouse. You move down-left by one step, where you find a jigsaw puzzle. You move down by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "18f14707f38dff0ab510a5dbc51cffb06e2ca08e031962ea963e56b004294d36",
    "id": "bbeh:spatial_reasoning:038",
    "request": "You have been given a circular path consisting of 12 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a ski mask. Moving in a clockwise direction from the ski mask, the elements on the path are a cocktail shaker, a lampshade, a tiger cat, a Border Terrier, a gorilla, a dam, a refrigerator, a dome, a ground beetle, a mud turtle, and a monitor. Starting from the gorilla, you move around the ring by 10 steps in a counter-clockwise direction, and you move around the ring by 8 steps in a clockwise direction, and you move around the ring by 5 steps in a clockwise direction, and you move around the ring by 6 steps in a counter-clockwise direction, and you move around the ring by 9 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "ab4e2e714e3813129a7c2b3df095a46c02504e542efed155903007dae7551569",
    "id": "bbeh:spatial_reasoning:041",
    "request": "You have been given a tree structure with 790 nodes. tunnel, balance, cucumber, and standard are siblings. farm has no children. spoon has no children. mosque has no grandchildren. sun has no grandchildren but has 3 children: jar, health, and font. radio has no children. wrench has no grandchildren. game has no children. wisdom has no children. router has no grandchildren. kangaroo has no children. drums has no grandchildren but has 5 children: raspberry, frequency, corporation, town, and equality. bear has 4 children: frog, beach, proportion, and risk. hardware has no grandchildren. slider has no grandchildren. branch has no grandchildren but has 4 children: coconut, analysis, lion, and glue. village has no grandchildren. tensor has 12 grandchildren: microphone and transformation (whose parent is mouth), disc, foot, mop, and wallet (whose parent is stapler), spider, recommendation, radio, and soda (whose parent is sustainability), and leaf and engagement (whose parent is principle) and 1 children: commit. disc has no grandchildren. vector has no children. foot has no grandchildren. output has no children. couch has no children. theme has no grandchildren. business has 5 children: ear, problem, lock, poster, and mosque. concert has no grandchildren. workflow has no children. mop has no grandchildren. valley has no grandchildren. bed has 5 children: sunglasses, passion, cat, strategy, and candy. event has no children. soup has no grandchildren. platform has no grandchildren. database has no grandchildren but has 3 children: enterprise, guideline, and procedure. code has no grandchildren. celery has no grandchildren. nose has no children. bird has no grandchildren. wire has no children. money has 14 grandchildren: banner and software (whose parent is steak), couch, linguistics, and bandage (whose parent is interface), snow and social (whose parent is charger), river, variable, silk, and emphasis (whose parent is connector), and wolf, instrument, and fear (whose parent is television). activity has no grandchildren. dustpan has no children. cardboard has no grandchildren. news has no children. pattern has 17 grandchildren: culture, tooth, snail, archive, and simplicity (whose parent is opportunity), mug and document (whose parent is instance), fish, farm, and mushroom (whose parent is art), petal, responsibility, classification, fly, and innovation (whose parent is machine), and regression and wing (whose parent is badge). library has no grandchildren. water has no children. sociology has no children. screw has no grandchildren but has 3 children: power, sparkle, and port. ice has no grandchildren but has 2 children: pencil and page. ladder has no grandchildren. lobster has no children. emphasis has no grandchildren. rocket has no grandchildren. lettuce has no grandchildren. bucket has no children. trumpet has no grandchildren. recommendation has no children. phone has no children. gradient has 20 grandchildren: theory, ticket, measurement, and vector (whose parent is towel), output, domain, and structure (whose parent is influence), hammer, screwdriver, scarf, and convention (whose parent is air), circuit, shirt, ceiling, and water (whose parent is scroll), and connection, roof, hope, news, and table (whose parent is shade). hat has no grandchildren. gem has 5 children: laptop, carrot, door, thread, and engine. shape has no grandchildren. toothpaste has no grandchildren. rope has no grandchildren. crab has no grandchildren. regression has no grandchildren. optimization has no children. campaign has no grandchildren. soap has no children. seminar has no children. flag has no children. anthropology has no grandchildren. program has no grandchildren. socket has no grandchildren. dishwasher has no children. sunglasses has no grandchildren. clarity has no grandchildren. hub has 5 children: nail, mathematics, museum, house, and history. sheet has no grandchildren. road has no grandchildren. bow has no children. zipper has no grandchildren. color has no children. pixel has no grandchildren. elephant has no grandchildren. venture has no grandchildren. transformation has no grandchildren. cricket has no grandchildren. mirror has no grandchildren. fixture has no grandchildren. food has no children. squash has no grandchildren. avocado has no children. connection has no children. history has no children. hair has no grandchildren. lock has no children. smile has no grandchildren. pie has no children. equipment has two children; protocol and notebook. widget has no grandchildren. pear has no grandchildren. sand has no children. sheep has 3 children: drums, webpage, and partnership. tower has no grandchildren. hope has no children. shine has no grandchildren. collaboration has 7 grandchildren: toy, doll, and clipboard (whose parent is truck) and pliers, bead, necklace, and washer (whose parent is teamwork). date has no children. ladybug has no children. concept has no children. custom has no grandchildren. nail has no grandchildren. repository has no children. purpose has no grandchildren. topic has 5 children: projector, bread, game, portrait, and store. simulation has no children. harmony has no grandchildren. skin has 3 children: egg, pan, and correlation. heart has no children. link has no grandchildren but has 4 children: plum, horse, statistic, and play. ritual has no grandchildren. jacket has no children. movie has 3 children: matrix, meaning, and festival. train has no grandchildren. convention has no grandchildren. microphone has no grandchildren. fabric has no grandchildren. measurement has no children. adapter has no grandchildren. layer has no grandchildren. cluster has 3 children: screen, label, and distribution. transistor has no children. media has no children. classification has no children. lime has two children; client and rain. lake has no grandchildren but has 2 children: tint and community. username has no children. snail has no children. cabbage has no grandchildren. festival has no grandchildren. effectiveness has no grandchildren. brush has no grandchildren. window has no grandchildren. plane has no grandchildren. scooter has no children. freedom has no grandchildren. bike has no children. piano has no children. distribution has no grandchildren. deer has no children. leaf has no children. engine has no children. soda has no children. justice has no grandchildren. fish has no grandchildren. book has no children. evaluation has no grandchildren. stove has no grandchildren. dream has no grandchildren. oven has no children. toe has no grandchildren. sign has no children. education has no grandchildren. header has no children. domain has no children. system has no children. compass has no children. belt has 4 children: custom, notification, desk, and density. projector has no grandchildren. culture has no children. store has no children. hate has no grandchildren. tooth has no children. document has no children. celebration has no grandchildren. portrait has no children. strategy has no children. cup has no grandchildren. earth has no grandchildren. structure has no children. design has no children. communication has 5 children: color, zucchini, firewall, anthropology, and rat. dropdown has no children. appliance has no children. giraffe has 3 children: screw, website, and milk. ticket has no grandchildren. notification has no grandchildren. law has no grandchildren. spider has no children. milk has 5 children: lesson, galaxy, architecture, psychology, and solution. shovel has no children. car has no grandchildren. tool has 4 children: simulation, sheet, report, and garden. switch has no grandchildren but has 3 children: sales, spreadsheet, and holiday. hospital has no grandchildren. calendar has 4 children: video, tool, equipment, and resilience. chocolate has no grandchildren. biology has no grandchildren but has 5 children: patch, ring, paint, leadership, and gloves. footer has no grandchildren. anger has no grandchildren. sky has no children. terminal has 3 children: sun, branch, and fire. cassette has no children. laptop has no children. earrings has no grandchildren. company has no grandchildren. theory has no children. documentary has no children. image has no grandchildren but has 5 children: tradition, feather, forest, narrative, and lace. dirt has no grandchildren. trend has no grandchildren. tomato has no grandchildren. school has no grandchildren. geology has no children. success has no children. eye has no children. trashcan has 5 children: happiness, window, method, shrimp, and seminar. deploy has no grandchildren. linguistics has no grandchildren. dryer has no grandchildren. passion has no grandchildren. cursor has 10 grandchildren: memory, park, chemistry, school, and remote (whose parent is sword) and soup, illusion, book, legacy, and sequin (whose parent is chicken). volume has no children. glass has no grandchildren. rain has 18 grandchildren: search, justice, smile, inspiration, and hat (whose parent is field), bulb, pear, and goal (whose parent is bottle), validation, star, elephant, date, and hate (whose parent is bridge), and earth, drawing, guitar, hair, and platform (whose parent is vehicle). progress has no grandchildren but has 3 children: policy, processor, and paper. leather has no children. pea has no children. video has no grandchildren but has 3 children: letter, airplane, and story. wallet has no children. galaxy has no grandchildren. brick has no children. motivation has no children. drink has 12 grandchildren: improvement, dress, scooter, wire, and celery (whose parent is clip), pants, bike, campaign, rope, and scale (whose parent is ant), and venture and pie (whose parent is science). label has no children. chip has 3 children: dance, socket, and bucket. circuit has no children. hashtag has no children. mug has no grandchildren. avatar has 3 children: cricket, building, and transistor. ethics has 3 children: framework, statue, and unity. advertisement has no grandchildren. inspiration has no children. computer has two children; blood and song. blood has 5 children: coffee, brick, cabbage, company, and appliance. controller has no grandchildren. association has no grandchildren. message has no grandchildren. pliers has no children. ribbon has no grandchildren. church has no grandchildren. slug has 19 grandchildren: education, lamp, dropdown, virtual, and success (whose parent is puzzle), concept, challenge, and stove (whose parent is alert), sculpture, heart, voltage, geology, and lettuce (whose parent is key), freedom and interaction (whose parent is broccoli), and dirt, weakness, potato, and association (whose parent is politics). park has no grandchildren. crystal has two children; avatar and hub. proportion has two children; beaver and shortcut. fire has no grandchildren but has 2 children: pumpkin and toothbrush. onion has no grandchildren. rubber has no children. drawing has no children. protocol has no children. burger has no children. organization has no grandchildren. castle has no grandchildren. software has no children. resilience has two children; volume and container. universe has no grandchildren. hammer has no children. architecture has no grandchildren. shrimp has no grandchildren. lamp has no children. beak has no grandchildren. toy has 3 children: username, wrench, and earrings. lemon has no grandchildren. evolution has no grandchildren but has 4 children: coral, pin, bag, and gate. rice has 5 grandchildren: oven and stone (whose parent is current) and razor, resource, and train (whose parent is algorithm) and 1 children: rug. experiment has no children. beauty has no grandchildren. tactic has no children. social has no children. analog has no children. zucchini has no children. activation has no grandchildren. wool has no grandchildren. finance has 5 children: butter, hue, sponge, resistance, and ethics. finger has no children. phase has no children. transaction has 11 grandchildren: crown, class, follower, and topic (whose parent is flower), variety and cotton (whose parent is radish), and image, gem, progress, battery, and map (whose parent is package). lizard has no grandchildren. result has no grandchildren but has 4 children: ceremony, environment, island, and trophy. input has no children. container has no children. happiness has no children. star has no children. relationship has no children. toolbar has no grandchildren. simplicity has no grandchildren. addon has no grandchildren. roof has no children. resistance has 16 grandchildren: router, cow, slider, and frame (whose parent is philosophy), toothpaste, sugar, and motivation (whose parent is cry), module, present, bone, and input (whose parent is physics), crab, decoration, and village (whose parent is comb), and poem and emotion (whose parent is neural). mushroom has no children. hand has no grandchildren. scale has no children. editor has no grandchildren. notebook has no children. necklace has two children; hand and deploy. clipboard has no grandchildren but has 4 children: index, stage, sandwich, and model. cloth has no grandchildren. ear has no grandchildren. record has no grandchildren. helmet has no grandchildren but has 3 children: music, meeting, and film. style has no children. zebra has no grandchildren. cloud has no grandchildren but has 3 children: tear, light, and query. instrument has no children. knife has 5 children: kiwi, biology, ice, helmet, and literature. variety has no grandchildren but has 3 children: service, muscle, and diode. remote has no grandchildren. garden has no children. luster has no children. medal has no children. ruler has no grandchildren. guitar has no children. elegance has no grandchildren. failure has no grandchildren. goal has no grandchildren. butter has two children; cloud and keys. sponge has 11 grandchildren: tactic, car, experience, editor, and gateway (whose parent is shadow), tab, compass, augmented, and experiment (whose parent is squirrel), and tongue and exhibition (whose parent is merge) and 2 children: file and process. jewel has no grandchildren. pepper has no children. bone has no grandchildren. sequin has no children. silk has no children. frog has 5 children: anger, internet, ladybug, cassette, and chocolate. management has no grandchildren. inductor has no grandchildren. balance has 13 grandchildren: amplitude, bear, and movement (whose parent is drum), rice and quantum (whose parent is threat), money, peace, knife, computer, and globe (whose parent is asparagus), and application, impact, and plate (whose parent is pen). partnership has no grandchildren but has 5 children: backpack, tiger, empowerment, eggplant, and truth. accountability has no children. bowl has no children. grape has no children. class has 4 children: tower, support, function, and fixture. texture has no children. sculpture has no grandchildren. dust has no grandchildren. archive has no grandchildren. poster has no children. landscape has no grandchildren. watch has no children. apple has 12 grandchildren: donut and law (whose parent is silence), signal, advertisement, and media (whose parent is artifact), cloth and activation (whose parent is form), and mango, bird, repository, sound, and shell (whose parent is joy) and 1 children: worm. poem has no grandchildren. thread has no children. bread has no grandchildren. support has no children. function has no grandchildren. glasses has no grandchildren. revolution has no children. module has no grandchildren. doll has no grandchildren but has 4 children: blueberry, sadness, effort, and diary. pan has 4 children: purpose, adapter, jewel, and cardboard. lesson has no children. wood has no children. scarf has no grandchildren. plate has 5 children: switch, cable, trashcan, link, and city. building has no grandchildren. project has 5 children: crystal, gradient, socks, drink, and pattern. standard has 10 grandchildren: ocean, giraffe, and terminal (whose parent is medicine), skin and observation (whose parent is blanket), and slug, cursor, tensor, sheep, and clustering (whose parent is morality). density has no children. improvement has no grandchildren. balloon has no children. microwave has 4 children: laugh, plugin, cup, and program. petal has no children. sofa has no grandchildren but has 5 children: metal, shelter, violin, arrow, and fur. frame has no children. exhibition has no grandchildren. umbrella has no grandchildren. chat has 4 children: speaker, bow, pixel, and beauty. memory has no grandchildren. psychology has no grandchildren. laugh has no children. sketch has no children. kiwi has no grandchildren but has 5 children: salt, fries, creativity, shield, and icecream. ocean has 17 grandchildren: umbrella, shovel, revolution, and gathering (whose parent is regulation), cookie, workflow, snake, and code (whose parent is garlic), treasure, pepper, toe, norm, and drill (whose parent is pillow), peach and society (whose parent is card), and widget and astronomy (whose parent is coin). shell has no grandchildren. door has no children. fox has no grandchildren. washer has no grandchildren but has 4 children: technology, beer, cereal, and plan. shirt has no children. button has no children. gateway has no grandchildren. cucumber has 5 children: lecture, strength, project, finance, and lime. seed has no children. matrix has no children. duck has no grandchildren. emotion has no children. digital has no children. checkbox has no children. tape has no grandchildren. webpage has no grandchildren but has 2 children: dog and saw. wolf has no children. risk has 5 children: concert, waterfall, wood, grape, and tape. amplitude has 3 children: block, bed, and ball. table has no children. turkey has no children. banner has no grandchildren. present has no children. snake has no children. tunnel has two children; collaboration and transaction. skateboard has no grandchildren but has 5 children: symmetry, needle, painting, floor, and monkey. can has no grandchildren but has 5 children: furniture, claw, article, capacitor, and presentation. experience has no grandchildren. society has no grandchildren. astronomy has no grandchildren. melon has no children. house has no children. illusion has no grandchildren. blog has no grandchildren. decoration has no grandchildren. fear has no grandchildren. city has 3 children: shine, food, and spectrum. ceiling has no grandchildren. dance has no grandchildren. hue has 16 grandchildren: lemon, melon, clarity, and trend (whose parent is salad), toolbar, box, phase, and duck (whose parent is photo), library, wisdom, and seed (whose parent is raccoon), and system, scissors, checkbox, mustache, and dust (whose parent is relic). website has 5 children: flag, brush, rubber, message, and weight. tea has no children. weakness has no children. quantum has 10 grandchildren: hospital and valley (whose parent is clothing), evaluation, tomato, design, and style (whose parent is mouse), and phone, universe, beak, and road (whose parent is pot). bandage has no children. framework has 4 children: luster, sea, lobster, and layer. statue has no grandchildren but has 4 children: belief, wind, bracelet, and goat. tongue has no grandchildren. augmented has no grandchildren. ornament has no grandchildren. fig has no grandchildren but has 2 children: cave and stamp. song has no grandchildren but has 4 children: compiler, goose, performance, and depth. ecosystem has no children. cotton has two children; church and documentary. icon has no children. firewall has no children. rock has no grandchildren. skirt has no grandchildren. resource has no children. norm has no children. map has no grandchildren but has 3 children: tissue, constant, and transition. cat has no grandchildren. cow has no children. report has no grandchildren. impact has two children; chip and cluster. engineering has no grandchildren. observation has 15 grandchildren: fabric, wave, and ritual (whose parent is mountain), dream and management (whose parent is task), squash, spoon, coat, kangaroo, and change (whose parent is freezer), and objective, glass, turkey, castle, and zebra (whose parent is glitter). ball has 3 children: shape, dishwasher, and nose. treasure has no children. workshop has no grandchildren. variable has no grandchildren. donut has no grandchildren. museum has no children. weight has no children. desk has no children. keyboard has no grandchildren. tab has no grandchildren. plugin has no grandchildren. stone has no children. change has no grandchildren. printer has no children. search has no children. carrot has no children. bulb has no grandchildren. responsibility has no grandchildren. parameter has no grandchildren. economics has no grandchildren. suitcase has no children. block has no grandchildren but has 2 children: account and efficiency. beach has 4 children: relationship, trumpet, sketch, and organization. screwdriver has no grandchildren. legacy has no children. lecture has 10 grandchildren: communication, clock, database, result, and skateboard (whose parent is idea) and lake, fig, business, sofa, and microwave (whose parent is password). follower has no grandchildren but has 4 children: marker, server, fence, and probability. size has no children. plastic has no grandchildren. grass has no children. conclusion has no children. peace has two children; movie and advantage. gathering has no grandchildren. wing has no children. sea has no children. client has 12 grandchildren: avocado and ladder (whose parent is resistor), watch and lizard (whose parent is cake), cherry, header, soap, digital, and pea (whose parent is shampoo), and size, sand, and candle (whose parent is yarn). mustache has no grandchildren. cable has no grandchildren but has 3 children: accessory, goodness, and love. peach has no grandchildren. movement has two children; can and chat. problem has no children. waterfall has no grandchildren. mango has no children. keys has no grandchildren but has 5 children: pig, content, strawberry, thorn, and conditioner. cherry has no children. socks has two children; belt and evolution. voltage has no children. egg has 3 children: rock, bowl, and parameter. meaning has no grandchildren. interaction has no grandchildren. literature has 5 children: landscape, controller, leather, sign, and dryer. beaver has no grandchildren. cookie has no children. unity has 3 children: mirror, texture, and engineering. signal has no grandchildren. chemistry has no children. correlation has no grandchildren but has 5 children: pill, heuristic, brain, diversity, and future. virtual has no grandchildren. dress has no grandchildren. advantage has 5 children: theme, activity, workshop, plane, and sky. potato has no children. engagement has no children. rat has no grandchildren. template has no children. method has no grandchildren. strength has two children; apple and calendar. globe has 15 grandchildren: tea, icon, balloon, and rocket (whose parent is boat), finger, burger, analog, and addon (whose parent is pearl), celebration and fox (whose parent is feeling), and record, failure, piano, keyboard, and hardware (whose parent is smoke). mathematics has no grandchildren. bead has 5 children: ribbon, hashtag, dustpan, suitcase, and event. objective has no children. coffee has no children. energy has no grandchildren. clock has two children; accountability and console. wave has no children. speaker has no grandchildren. application has 13 grandchildren: harmony, glasses, economics, deer, and zipper (whose parent is fridge), button, effectiveness, and wool (whose parent is kite), and plastic, conclusion, template, sociology, and ecosystem (whose parent is chair). solution has no grandchildren. coat has no children. validation has no grandchildren. console has no grandchildren. candy has no children. screen has no grandchildren. internet has no grandchildren. fly has no children. challenge has no grandchildren. innovation has no grandchildren. sound has no children. drill has no children. spectrum has no grandchildren. candle has no grandchildren. clustering has 13 grandchildren: medal, shoes, and printer (whose parent is temple), jacket, ornament, eye, and optimization (whose parent is growth), footer and grass (whose parent is nest), and inductor, elegance, energy, and address (whose parent is axe). battery has no grandchildren but has 4 children: chain, photograph, thought, and folder. pants has no grandchildren. address has no children. snow has no children. shortcut has no children. river has no grandchildren. scissors has no children. crown has 4 children: blog, onion, skirt, and ruler. razor has no children. box has no children. sugar has no grandchildren. shoes has no children. What is the cousin of the documentary? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "fb8902c69c789acd993ca065251be4839a70ef644e988fc790cbb51f5e214374",
    "id": "bbeh:spatial_reasoning:043",
    "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the right corner of the grid, where you find a marmot. You move up-left by one step, where you find a tram. You move up-left by one step, where you find a dung beetle. You move down-left by one step, where you find a water jug. You move down-left by one step, where you find a viaduct. You move down-right by one step, where you find a padlock. You move down-right by one step, where you find a barrel. You move up-right by one step, where you find an English Springer Spaniel. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "234bf5830b3f177c4d498a35fbe9ad124565d6d02898fe181a1334038c8b7e66",
    "id": "bbeh:spatial_reasoning:052",
    "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles,  ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a rug. Then you move down-right for one step and see a fox. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a knife. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a statue. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bike. Then you don't move for a while. Then you move down-right for one step and see a pie. Then you move down-right for one step and see a car. Then you don't move for a while. Then you move right for one step and see a plum. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step and see a blueberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a pen. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a mug. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a strawberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then, you jump to a random vertex V where you see a fork. Then you move up-right for one step and see a crib. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a clementine. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a banana. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a potato. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a dresser. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a bean. Then you move up-left for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a grater. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a shampoo. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a television. Then you don't move for a while. Then you move down-right for one step and see a printer. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: left, up-right, down-right, down-left, right, left, right, right, up-right. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "c4c2863b8a18b04fe9c07b5240e8f0770e9b6a300ef6edbdb979af94b99902c2",
    "id": "bbeh:spatial_reasoning:060",
    "request": "You have been given a tree structure with 663 nodes. socks, tower, transformation, and painting are siblings. holiday has no children. sheep has no grandchildren. trashcan has two children; disc and medicine. garlic has no grandchildren. cave has 3 children: inductor, balloon, and protocol. correlation has two children; simplicity and salad. clustering has no grandchildren. strawberry has no children. social has no grandchildren. helicopter has no children. plate has 8 grandchildren: wire, paint, terminal, website, and distribution (whose parent is fabric) and crown, social, and keys (whose parent is support) and 1 children: cardboard. pizza has no grandchildren but has 2 children: lecture and folder. class has no grandchildren. plane has 4 children: ear, literature, zebra, and geology. disc has 3 children: gradient, analysis, and history. icecream has no grandchildren but has 3 children: experience, brain, and rat. justice has two children; metal and gloves. balance has no grandchildren. mustache has no children. house has no children. sociology has two children; motivation and method. follower has no grandchildren. love has no children. cucumber has no grandchildren. wave has no children. culture has no grandchildren. lace has no grandchildren. law has no grandchildren. chain has no children. tree has no grandchildren but has 5 children: tea, watch, onion, transaction, and forecast. science has no grandchildren. claw has 8 grandchildren: toolbar, port, and tint (whose parent is jacket) and elephant, probability, weakness, butter, and clipboard (whose parent is mirror). lettuce has 9 grandchildren: boat, rug, turkey, medal, and illusion (whose parent is vector), window and strawberry (whose parent is lobster), and tradition and fire (whose parent is hammer). algorithm has no grandchildren. mountain has 14 grandchildren: shadow, organization, bean, and pliers (whose parent is artifact), truck, form, object, beach, and fear (whose parent is transistor), and checkbox, bead, database, television, and interface (whose parent is mug). hashtag has no children. fear has 5 children: audio, suitcase, hardware, juice, and bowl. drawing has 3 children: initiative, machine, and sheep. page has no children. spectrum has no children. saw has no grandchildren but has 4 children: observation, header, quantum, and processor. inductor has no grandchildren. apple has no grandchildren. wisdom has no children. leather has no grandchildren. compiler has no children. idea has no grandchildren. service has no grandchildren. nose has 5 children: bone, jewel, service, theme, and clock. pin has no grandchildren. motorcycle has no grandchildren. label has no grandchildren. organization has no grandchildren but has 2 children: finger and risk. bandage has no grandchildren. website has no children. floor has no children. impact has no children. process has no children. trophy has no grandchildren. egg has no grandchildren. statue has no grandchildren. psychology has no children. server has no children. contrast has no grandchildren. pearl has no grandchildren. development has no children. activity has no grandchildren. regulation has no grandchildren. port has no children. lion has no children. fence has no children. clarity has no grandchildren. coffee has no children. branch has no children. paper has no grandchildren. wall has no children. muscle has no children. wing has no children. terminal has no children. documentary has 15 grandchildren: diary, umbrella, and ladybug (whose parent is file), package and notification (whose parent is thought), church, needle, widget, dust, and fridge (whose parent is teamwork), and client, current, size, texture, and socket (whose parent is event). butter has no grandchildren. stage has no children. compass has no children. topic has 4 children: gate, article, circuit, and wall. garden has no children. tablet has no grandchildren. ear has no children. celebration has no grandchildren. goodness has no children. resilience has no grandchildren. wool has no children. sculpture has no children. depth has 10 grandchildren: radio, ant, purpose, lizard, and engineering (whose parent is regression), controller, bandage, and petal (whose parent is peace), and hue and cache (whose parent is spider). avatar has 3 children: conference, toe, and seminar. widget has no children. earth has no grandchildren but has 2 children: query and workshop. fish has no children. brick has no grandchildren. purse has no grandchildren. package has no children. goal has no grandchildren. coral has no children. fork has 4 children: interaction, speaker, wolf, and ice. dust has no children. database has no grandchildren but has 4 children: town, skirt, addon, and task. merge has no grandchildren. tiger has 5 children: pearl, shield, field, table, and coconut. kite has no grandchildren. slug has 4 children: hill, future, motorcycle, and crystal. system has no children. wolf has no grandchildren. tint has no grandchildren. fixture has no grandchildren. paint has no grandchildren. cricket has no grandchildren. protocol has no children. heart has 3 children: icecream, program, and digital. client has no grandchildren. necklace has no children. phase has no grandchildren. webpage has no grandchildren. chip has no children. button has 3 children: blanket, forest, and class. toe has no children. seminar has no children. controller has no children. guitar has no grandchildren but has 2 children: venture and fox. plan has no grandchildren. poem has 3 children: star, fish, and charger. truck has two children; salt and instrument. evaluation has no grandchildren. machine has no children. belief has no grandchildren. advantage has no grandchildren. instance has no grandchildren. tradition has no children. star has no children. microwave has no grandchildren. color has no grandchildren but has 3 children: validation, router, and vehicle. pasta has no children. standard has no grandchildren but has 5 children: forum, burger, guideline, temple, and story. society has no children. island has no grandchildren but has 2 children: kiwi and narrative. mosque has two children; celebration and psychology. camera has no grandchildren but has 5 children: pineapple, chemistry, matrix, domain, and rain. media has no grandchildren. scale has no grandchildren. ring has no children. shield has no grandchildren. initiative has no children. diary has no children. code has no grandchildren but has 3 children: marketing, message, and broccoli. effectiveness has no children. nail has two children; box and ticket. wire has no children. turtle has no grandchildren but has 2 children: index and bike. date has 9 grandchildren: meaning, culture, and chat (whose parent is rope), snow and page (whose parent is video), and smoke, status, empowerment, and landscape (whose parent is storage). classification has two children; topic and cave. thread has no grandchildren. bridge has no children. accessory has no children. blueberry has 3 children: museum, skateboard, and bridge. collaboration has two children; law and airplane. hardware has no grandchildren. feather has 5 children: plane, cluster, hub, tree, and galaxy. airplane has no children. screwdriver has 12 grandchildren: algorithm, pasta, and process (whose parent is scroll), mustache, tensor, idea, and glasses (whose parent is menu), and tunnel, planet, effectiveness, objective, and activity (whose parent is footer). luster has no children. amplitude has no children. crown has no grandchildren. ruler has 14 grandchildren: marker, badge, and mushroom (whose parent is soda), repository, collaboration, mosque, fly, and nail (whose parent is broom), internet and justice (whose parent is account), and sociology, beard, saw, and workflow (whose parent is diversity). relationship has no children. candy has no children. banana has 16 grandchildren: bracelet, purse, webpage, passion, and coral (whose parent is pan), statue, ritual, beak, plan, and festival (whose parent is play), shampoo, emotion, coffee, and ring (whose parent is art), and science and truth (whose parent is freezer). movement has 11 grandchildren: compiler, hashtag, sensor, enterprise, and hate (whose parent is dropdown), clustering, ornament, and voltage (whose parent is link), and lion, goodness, and clip (whose parent is cassette). capacitor has no children. hue has no children. resource has no grandchildren but has 3 children: cry, eggplant, and biology. purpose has no children. peach has no children. snow has no children. balloon has no children. shadow has 4 children: music, hospital, milk, and floor. ornament has no children. lesson has no grandchildren. wood has no grandchildren but has 3 children: cursor, bird, and eraser. legacy has no children. chat has no grandchildren. ticket has no grandchildren. clipboard has no grandchildren. silence has no grandchildren but has 4 children: strength, symmetry, commit, and money. bead has no grandchildren but has 5 children: doll, beer, wallet, razor, and river. cat has no children. plugin has two children; norm and tab. water has no children. interface has 3 children: lace, proportion, and egg. efficiency has no grandchildren. scarf has 3 children: valley, drink, and ceremony. article has no children. radio has no grandchildren. dream has no children. bread has no grandchildren. smoke has no grandchildren. fries has no children. gate has no children. museum has no children. nest has no children. map has 3 children: bucket, microwave, and stove. problem has no grandchildren but has 5 children: archive, structure, puzzle, optimization, and dance. empowerment has no grandchildren. steak has no children. cluster has 3 children: library, custom, and muscle. weakness has no children. hate has no children. truth has no grandchildren. fridge has no grandchildren. arrow has no grandchildren but has 5 children: worm, wind, plastic, decoration, and drums. voltage has no children. coconut has no grandchildren. form has 3 children: asparagus, fence, and accessory. socket has no grandchildren. badge has 4 children: label, branch, business, and sculpture. method has no children. module has 5 children: cherry, shortcut, water, beaver, and scale. glasses has no grandchildren. keys has no children. simplicity has no children. business has no grandchildren. news has no grandchildren. history has no grandchildren. circuit has no grandchildren. mathematics has two children; trashcan and grape. evolution has no children. object has no grandchildren but has 4 children: disk, hat, sparkle, and communication. bus has two children; growth and bed. tape has no grandchildren. squash has no grandchildren. wrench has 5 children: avatar, nose, turtle, debugger, and fork. stem has 6 grandchildren: sustainability, photo, lime, and phase (whose parent is screw) and energy and fries (whose parent is glass). salad has no children. bracelet has no grandchildren. umbrella has no grandchildren. sand has 5 children: happiness, power, scarf, bus, and map. fly has 5 children: earrings, stage, contrast, trophy, and resilience. lizard has no grandchildren. sensor has no children. sea has no grandchildren. growth has no grandchildren. beard has 5 children: furniture, development, sea, experiment, and evolution. crab has no grandchildren. crystal has no grandchildren. equality has no grandchildren. shrimp has no children. butterfly has no children. debugger has no grandchildren but has 5 children: grass, stone, ocean, environment, and signal. instrument has no grandchildren. simulation has no children. interaction has no children. bulb has no grandchildren. procedure has no children. television has no grandchildren but has 4 children: towel, jar, snail, and project. elephant has no children. medal has no grandchildren. emotion has no grandchildren. coin has no grandchildren. happiness has 3 children: merge, bread, and chip. weight has no children. success has no children. banner has no grandchildren. memory has no children. fire has no grandchildren. recommendation has no grandchildren but has 2 children: function and cotton. concert has no grandchildren. objective has no children. report has 4 children: coin, pepper, success, and concert. anthropology has no grandchildren. pill has no grandchildren. gateway has no children. tower has 4 children: ruler, mountain, mathematics, and orange. meaning has no grandchildren. hub has no grandchildren. charger has no children. bowl has no grandchildren. box has no children. convention has no children. trend has no grandchildren. analysis has no grandchildren. checkbox has no grandchildren but has 4 children: corn, present, anger, and design. literature has no children. tool has no grandchildren. yogurt has no children. lime has no children. hill has no children. shampoo has no grandchildren. meeting has 5 children: color, silence, poem, blueberry, and slug. projector has no children. mushroom has no grandchildren but has 5 children: yarn, tomato, partnership, profile, and mango. raccoon has no grandchildren. tongue has no grandchildren. status has no grandchildren. song has 6 grandchildren: rocket, card, and clarity (whose parent is cookie) and bulb, balance, and activation (whose parent is carrot). sign has no children. sound has no grandchildren. search has no children. workflow has no grandchildren but has 5 children: progress, mouse, appliance, smile, and equipment. passion has no children. future has no grandchildren. beauty has no grandchildren. bucket has no grandchildren. soap has no children. grape has 10 grandchildren: crab, sound, memory, air, and brick (whose parent is education), resistance and sword (whose parent is deploy), and capacitor, server, and squash (whose parent is kangaroo). sustainability has no grandchildren. toothpaste has 4 children: hand, unity, bag, and gateway. pixel has no children. pepper has no children. pot has no grandchildren. repository has 5 children: leather, holiday, glue, toothbrush, and paper. speaker has no children. toolbar has no grandchildren. gradient has no children. unity has no children. jewel has no children. raspberry has 4 grandchildren: spoon and tongue (whose parent is association) and kite and luster (whose parent is backpack). galaxy has no grandchildren but has 4 children: frequency, bear, seed, and shine. library has no grandchildren. beak has no grandchildren. phone has no grandchildren but has 5 children: pipeline, laugh, knife, sequin, and curtain. layer has 3 children: brush, module, and road. music has no children. rug has no children. bed has no grandchildren. geology has no children. toothbrush has no grandchildren. experiment has no children. engine has no grandchildren. proportion has no grandchildren. spinach has 12 grandchildren: necklace, anthropology, search, yogurt, and garlic (whose parent is soup), compass, universe, sign, augmented, and tape (whose parent is piano), and nest and presentation (whose parent is resistor). photo has no grandchildren. city has no children. norm has 4 children: flag, wisdom, sky, and pot. forest has no grandchildren. tunnel has no children. shade has no grandchildren. gloves has no children. motivation has no children. drink has no grandchildren. illusion has no children. orange has 12 grandchildren: earth, pizza, resource, and dog (whose parent is belt), report, island, and toothpaste (whose parent is hope), and phone, poster, wood, camera, and problem (whose parent is castle). switch has no children. road has 3 children: house, address, and system. petal has no grandchildren. enterprise has no grandchildren. cabbage has no children. trumpet has 7 grandchildren: cabbage, equality, and candy (whose parent is joy) and wing, cricket, advantage, and butterfly (whose parent is bee). presentation has no grandchildren. stove has no children. tensor has no children. density has no children. resistance has no grandchildren. battery has no children. threat has 4 children: goal, bow, violin, and pill. pea has no children. medicine has 4 children: constant, efficiency, alert, and wave. device has no grandchildren. ceremony has no grandchildren. comb has 13 grandchildren: density and garden (whose parent is coat), chain and spectrum (whose parent is dirt), soap and society (whose parent is axe), raccoon, banner, and trend (whose parent is eye), and weight, tablet, device, and cat (whose parent is film). transformation has no children. chair has no grandchildren. poster has 4 children: simulation, document, failure, and impact. principle has no grandchildren. astronomy has 10 grandchildren: fixture, school, cucumber, peach, and projector (whose parent is horse), dream, pea, and city (whose parent is photograph), and beauty and media (whose parent is giraffe). bow has no children. clock has no children. milk has no children. asparagus has no children. audio has no children. distribution has no children. hand has no grandchildren. sky has no children. texture has no children. planet has no children. rocket has no children. pliers has no grandchildren but has 5 children: radish, rock, waterfall, desert, and shoes. sales has 5 children: standard, guitar, button, donut, and drawing. tab has 4 children: relationship, instance, evaluation, and love. custom has no children. air has no grandchildren. universe has no grandchildren. augmented has no grandchildren. zebra has no children. alert has no children. shortcut has no grandchildren. cherry has no children. tooth has no grandchildren. socks has 14 grandchildren: sand, meeting, and depth (whose parent is oven), sales, comb, statistic, heart, and date (whose parent is frog), banana, stem, raspberry, and wrench (whose parent is tactic), and plate and cereal (whose parent is calendar). bean has 3 children: helicopter, community, and thread. probability has no children. needle has no grandchildren. field has no grandchildren. power has two children; battery and regulation. furniture has no children. violin has no children. church has no children. bone has no children. theme has no grandchildren. document has no children. beaver has no grandchildren. engineering has no children. failure has no grandchildren. cereal has two children; arrow and threat. beach has no grandchildren but has 4 children: hair, architecture, advertisement, and goat. sword has no grandchildren. brush has no grandchildren but has 4 children: lemon, content, pen, and health. size has no children. boat has no grandchildren. landscape has no children. clip has no grandchildren. address has no grandchildren. suitcase has no children. hospital has no grandchildren. internet has 4 children: steak, plant, shade, and chair. blanket has no grandchildren. juice has no grandchildren. bag has no children. cache has no grandchildren. salt has no children. skateboard has no children. program has 3 children: lesson, wool, and amplitude. spoon has no grandchildren. current has no grandchildren. glue has no grandchildren. prompt has 3 grandchildren: procedure, apple, and tooth (whose parent is sugar) and 1 children: sunglasses. plant has no grandchildren. marker has two children; follower and news. table has no children. network has 6 grandchildren: convention and legacy (whose parent is game), shrimp and engine (whose parent is variety), and principle and switch (whose parent is mop). painting has 15 grandchildren: classification, layer, feather, and network (whose parent is plum), plugin, spinach, movement, and screwdriver (whose parent is email), claw, song, and trumpet (whose parent is pillow), prompt and astronomy (whose parent is store), and documentary and lettuce (whose parent is shirt). valley has no grandchildren. statistic has 5 children: code, tiger, pixel, correlation, and recommendation. earrings has no children. energy has no grandchildren. flag has no children. activation has no grandchildren. dog has no grandchildren but has 4 children: lake, diode, shape, and leaf. ant has no children. turkey has no children. ladybug has no grandchildren. constant has no children. notification has no grandchildren. community has no children. school has no grandchildren. festival has no grandchildren. conference has no grandchildren. card has no children. window has no grandchildren. metal has no children. ritual has no children. ice has no children. digital has 3 children: belief, tool, and pin. donut has no grandchildren but has 4 children: tissue, editor, popup, and silk. What is the cousin of the law? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "eb700b4793a106474d079932e52253484d2d2186814c717e745cf28725abb081",
    "id": "bbeh:spatial_reasoning:067",
    "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles,  ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a knife. Then you move down-left for one step and see a clementine. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a brush. Then you move left for one step and see a grape. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tart. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a cucumber. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a bean. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a mirror. Then you don't move for a while. Then you move down-left for one step and see a cell phone. Then you don't move for a while. Then you move left for one step and see a crib. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a paper. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a bear. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a cat. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a fig. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a dog. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a lychee. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a cranberry. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a car. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a carrot. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a fork. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a pen. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a lemon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a plum. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a cake. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you don't move for a while. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a fox. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a mug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a peanut. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "f98e5f84e10e1917852f3d7048d02ada2d9ec71daba391b796b40d306d0fd544",
    "id": "bbeh:spatial_reasoning:074",
    "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles,  ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a raspberry. Then you move down-left for one step and see a dresser. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a pie. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a backpack. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a watermelon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a spoon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a clementine. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a peanut. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a book. Then you move down-left for one step and see a fork. Then you move right for one step and see a plum. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a car. Then you don't move for a while. Then, you jump to a random vertex V where you see a rug. Then you move down-left for one step and see a bed. Then you move down-left for one step and see a soap. Then you move right for one step and see a dog. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a banana. Then you don't move for a while. Then you move right for one step and see a lemon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a backpack. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: down-left, up-right, down-left, up-right, down-left, down-right, down-left, up-right, up-right, down-right, left, up-right, left, up-left. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "bdfc27ed8ff860db35302fe6ecdabcf8edfcb1a7ff346253cda569046e1a0788",
    "id": "bbeh:spatial_reasoning:075",
    "request": "You have been given a tree structure with 580 nodes. library, broom, and gate are siblings. hashtag has no children. burger has no children. legacy has no children. bowl has no grandchildren. pillow has no grandchildren. flower has two children; towel and platform. spreadsheet has 3 children: leather, history, and drums. shortcut has no children. balloon has no children. service has no grandchildren. violin has no grandchildren. headphones has 4 children: ruler, bow, interface, and pencil. architecture has 5 children: helmet, frequency, disc, movement, and philosophy. branch has 10 grandchildren: screw, keyboard, kangaroo, and brush (whose parent is news), desk, sound, and addon (whose parent is lesson), and service, can, and garlic (whose parent is function). drive has no children. impact has no grandchildren but has 2 children: exhibition and charger. fig has no grandchildren. money has no grandchildren. hand has no grandchildren. hospital has no grandchildren. garlic has no children. church has 4 children: button, method, happiness, and initiative. cucumber has no grandchildren. ornament has no grandchildren. movement has 5 children: festival, juice, flower, port, and pepper. skateboard has no children. book has no grandchildren. dropdown has no children. kiwi has two children; linguistics and power. digital has no children. pearl has no children. beach has no grandchildren. vacuum has no grandchildren. song has no grandchildren. razor has no grandchildren but has 4 children: cricket, town, client, and soap. simulation has two children; organization and spreadsheet. glitter has no grandchildren. module has no children. pattern has no grandchildren but has 2 children: raspberry and joy. festival has no grandchildren but has 4 children: leaf, cotton, sandwich, and farm. audio has no children. marketing has no children. voltage has no grandchildren. library has 13 grandchildren: squirrel, ladybug, and zucchini (whose parent is knife), goose and branch (whose parent is success), photo, follower, storage, and sugar (whose parent is blueberry), and rabbit, helicopter, wine, and squash (whose parent is teamwork). resistor has no grandchildren. adapter has no children. museum has no grandchildren. ball has no children. model has no children. purse has no grandchildren. carrot has 4 children: kiwi, vector, oven, and size. risk has no grandchildren. gathering has no grandchildren but has 4 children: earrings, giraffe, chair, and goat. present has no grandchildren. arrow has no grandchildren. shovel has no grandchildren. program has 19 grandchildren: font, audio, pig, and pan (whose parent is design), recommendation, debugger, crab, thread, and tooth (whose parent is pin), castle, diode, and stem (whose parent is seed), capacitor, ethics, and drive (whose parent is onion), and digital, process, ticket, and river (whose parent is silk). volume has no children. pig has no grandchildren. harmony has 5 children: advertisement, lizard, pillow, purse, and skirt. dust has 3 children: shoes, lion, and banner. peach has no children. wrench has no grandchildren. luster has no grandchildren. ethics has no children. food has no children. grape has no children. squash has 4 children: cake, tunnel, microphone, and cluster. density has no grandchildren. frame has no grandchildren. poem has no grandchildren. report has no grandchildren. elephant has no grandchildren. needle has no children. cabbage has 12 grandchildren: mango, artifact, company, and wisdom (whose parent is engagement), island, impact, and repository (whose parent is goal), dust, silence, and boat (whose parent is air), and photograph and texture (whose parent is strength). resource has no grandchildren. font has no children. play has no children. clock has 3 children: water, soda, and circuit. company has 5 children: module, glitter, symmetry, temple, and community. banana has no children. addon has no children. statue has 3 children: resource, letter, and medal. microphone has 4 children: bag, dance, distribution, and bowl. motivation has no grandchildren. history has no grandchildren. flag has no children. equality has no grandchildren. mushroom has no grandchildren. change has no grandchildren. collaboration has no children. analysis has no grandchildren. mountain has no children. worm has no children. mango has 4 children: brick, toothbrush, relationship, and gateway. constant has no children. classification has no grandchildren. wallet has no children. rat has no grandchildren. artifact has no grandchildren but has 3 children: speaker, sales, and screen. lion has no children. island has 4 children: store, hashtag, workshop, and jewel. cake has 5 children: voltage, bandage, archive, enterprise, and drill. lake has no children. banner has no children. toothbrush has no grandchildren. rabbit has 5 children: chocolate, sparkle, contrast, console, and harmony. coral has no children. lecture has no grandchildren but has 2 children: avatar and door. lime has 9 grandchildren: worm, wallet, and airplane (whose parent is wall), sand and smoke (whose parent is candy), and peach, constant, conditioner, and collaboration (whose parent is statistic). leather has no grandchildren. nose has 9 grandchildren: actuator, glass, pattern, and risk (whose parent is icecream) and opportunity, chicken, salt, regulation, and transistor (whose parent is concept). console has no grandchildren but has 2 children: motorcycle and crown. tiger has no children. can has no grandchildren. symmetry has no children. popup has two children; mustache and passion. repository has 4 children: workflow, bucket, pipeline, and procedure. forecast has no children. pizza has no grandchildren. cave has no grandchildren but has 5 children: game, feather, ecosystem, profile, and software. pan has no grandchildren. squirrel has 9 grandchildren: friend, amplitude, output, and parameter (whose parent is fork), horse, lake, and museum (whose parent is tint), and moon and association (whose parent is color). bus has no children. gate has 3 children: plugin, architecture, and carrot. dustpan has no grandchildren. asparagus has no children. jewel has no grandchildren. sugar has 3 children: growth, structure, and efficiency. snail has no children. castle has no children. pants has no grandchildren. bean has no grandchildren. photograph has no grandchildren but has 3 children: business, mouse, and status. axe has no grandchildren. bead has 3 children: couch, equipment, and hospital. actuator has no grandchildren but has 3 children: school, fox, and toothpaste. kangaroo has no grandchildren. disc has 9 grandchildren: hardware, plant, device, and responsibility (whose parent is reflection), innovation, disadvantage, and content (whose parent is cloud), and radish and correlation (whose parent is truck). stamp has no children. stem has no grandchildren. innovation has no children. amplitude has no children. inductor has no children. radish has no grandchildren. contrast has no grandchildren but has 4 children: policy, zipper, editor, and battery. organization has 5 children: ring, flag, coat, wrench, and accessory. bandage has no grandchildren. juice has no grandchildren but has 5 children: astronomy, sheep, hat, film, and house. social has two children; cursor and database. frequency has two children; cave and statue. storage has 3 children: lecture, development, and scarf. chocolate has no grandchildren but has 2 children: protocol and medicine. method has 5 children: bike, education, pearl, weight, and morality. goose has 15 grandchildren: email and celery (whose parent is backpack), venture, prompt, fig, stapler, and frame (whose parent is movie), candle, density, bean, and economics (whose parent is truth), and mountain, ceiling, beaver, and poem (whose parent is gloves). wire has no children. event has no children. recommendation has no grandchildren. silence has no grandchildren but has 2 children: fixture and unity. object has two children; thorn and road. foot has no children. regression has no children. water has 3 children: luster, hand, and emotion. claw has 4 children: processor, lettuce, folder, and cheese. notification has no children. button has no grandchildren but has 3 children: yarn, frog, and stage. cassette has no grandchildren. map has no grandchildren. community has no children. bow has no grandchildren. photo has 13 grandchildren: desert, cassette, asparagus, love, and laptop (whose parent is resistance), sword, regression, hair, and cucumber (whose parent is sun), wire and plum (whose parent is ear), and needle and footer (whose parent is current). vector has no grandchildren. label has no grandchildren. thread has no grandchildren. boat has two children; shortcut and balloon. correlation has no grandchildren. proportion has no children. bucket has no grandchildren. footer has no children. emotion has no grandchildren. poster has two children; legacy and presentation. principle has no grandchildren. wine has 3 children: template, elegance, and experiment. scissors has 3 children: technology, floor, and money. rope has no children. planet has no grandchildren. diode has no children. lizard has no children. mug has no children. morality has no children. friend has no children. helicopter has 6 grandchildren: trashcan and scooter (whose parent is emphasis) and instance, petal, scale, and guitar (whose parent is result). database has no children. equipment has no grandchildren. guideline has no children. passion has no grandchildren. sculpture has 3 children: change, butterfly, and equality. progress has 4 children: lime, object, simulation, and church. initiative has no grandchildren but has 5 children: neural, ladder, firewall, park, and browser. venture has no children. temple has no children. size has 6 grandchildren: beach, adapter, and effectiveness (whose parent is inspiration) and mug, skateboard, and car (whose parent is culture). growth has 5 children: inductor, validation, objective, pasta, and tape. platform has no children. oven has 5 children: social, poster, beak, piano, and cow. hair has no children. tensor has no grandchildren. soda has no grandchildren but has 4 children: query, paper, egg, and analog. relationship has no grandchildren. effectiveness has no children. towel has no grandchildren. folder has no grandchildren. thorn has 5 children: coral, saw, peace, observation, and principle. plum has no grandchildren. observation has no children. ring has no grandchildren. saw has no grandchildren. opportunity has 4 children: burger, radio, cry, and toolbar. letter has no grandchildren. efficiency has no grandchildren but has 4 children: variety, milk, dog, and fence. tooth has no children. clarity has no children. cry has no children. hate has no grandchildren. economics has no grandchildren. archive has no children. sand has no grandchildren. tea has no children. coat has no grandchildren. bracelet has 5 children: notification, glue, clarity, tab, and ball. pasta has no children. linguistics has no grandchildren but has 5 children: block, biology, chat, advantage, and monkey. responsibility has no grandchildren. tactic has no grandchildren. beak has 3 children: window, pizza, and light. airplane has no grandchildren. enterprise has no grandchildren. menu has no grandchildren. regulation has no grandchildren but has 5 children: coffee, value, psychology, transformation, and server. content has no children. algorithm has no children. wisdom has 5 children: ribbon, sunglasses, vehicle, song, and pliers. broom has 4 children: progress, nose, signal, and cabbage. floor has no children. desk has no children. tape has no children. yogurt has no children. tablet has no grandchildren. medal has no grandchildren. city has no grandchildren. trumpet has two children; violin and proportion. chicken has no grandchildren but has 3 children: gem, router, and slider. peace has no grandchildren. sparkle has no grandchildren but has 4 children: bird, quantum, transition, and eggplant. instance has no grandchildren. skirt has no grandchildren. guitar has no grandchildren. feeling has no children. balance has no children. road has no grandchildren but has 5 children: drink, potato, sustainability, pea, and trophy. lock has no grandchildren but has 3 children: simplicity, media, and cup. cat has no children. toolbar has no children. celery has no grandchildren. form has no children. scarf has 4 children: algorithm, television, spoon, and arrow. piano has no grandchildren but has 4 children: toy, calendar, plane, and curtain. capacitor has no grandchildren. moon has no children. couch has no children. structure has no grandchildren but has 4 children: crystal, problem, corporation, and eye. sunglasses has no children. glass has 5 children: axe, analysis, index, snail, and grape. interface has no grandchildren. cursor has no grandchildren. tunnel has no grandchildren but has 3 children: augmented, cookie, and shape. texture has no grandchildren but has 4 children: clipboard, apple, communication, and projector. trashcan has no grandchildren. freezer has no grandchildren. sword has no grandchildren. screw has no grandchildren. pencil has no grandchildren. vehicle has no children. conditioner has no children. gateway has no grandchildren. candle has no grandchildren. pliers has no grandchildren. fire has two children; guideline and label. love has no grandchildren. weight has no grandchildren. galaxy has no children. presentation has no grandchildren. bike has no grandchildren. brick has no children. crab has no grandchildren. art has no grandchildren but has 3 children: broccoli, sheet, and belt. radio has no children. circuit has two children; rat and tiger. pipeline has no children. butterfly has no grandchildren. television has no children. scale has no grandchildren. bag has no grandchildren. controller has no grandchildren but has 5 children: disk, box, ceremony, engine, and pineapple. stapler has no children. transistor has no grandchildren but has 2 children: toe and diversity. output has no grandchildren. workflow has no children. plant has no children. prompt has no grandchildren. window has no grandchildren. pepper has two children; tree and elephant. cheese has no grandchildren. dance has no children. ticket has no children. drill has no children. sequin has no children. glue has no children. objective has no grandchildren. cow has no grandchildren but has 5 children: clothing, shirt, depth, meeting, and rocket. store has no grandchildren. tree has no children. zucchini has 16 grandchildren: management, cache, and tensor (whose parent is ant), shovel, hate, cat, food, and motivation (whose parent is key), present, pants, ritual, and balance (whose parent is scroll), and ornament, resistor, model, and bee (whose parent is finger). power has no grandchildren but has 2 children: goodness and pot. brush has no grandchildren. workshop has no children. validation has no grandchildren. appliance has 3 children: dustpan, form, and event. disadvantage has no grandchildren. tab has no children. light has no grandchildren. helmet has 12 grandchildren: rope, map, stamp, and book (whose parent is thought), date, galaxy, classification, and tactic (whose parent is document), and marketing, sequin, tablet, and report (whose parent is connector). port has two children; planet and bus. philosophy has 3 children: art, popup, and fire. email has no grandchildren. index has no grandchildren. car has no children. river has no grandchildren. smoke has no children. ruler has no grandchildren. date has no children. follower has 3 children: bead, scissors, and claw. advertisement has no grandchildren. development has no grandchildren but has 4 children: improvement, pear, header, and turtle. shoes has no grandchildren. ribbon has no grandchildren. plugin has 9 grandchildren: gathering, lock, controller, and headphones (whose parent is butter) and bracelet, trumpet, appliance, sculpture, and razor (whose parent is turkey). technology has no children. debugger has no grandchildren. elegance has 5 children: dropdown, feeling, vacuum, menu, and yogurt. cluster has 3 children: account, play, and freezer. scooter has no grandchildren. account has no children. fish has no grandchildren. lettuce has no children. bee has no grandchildren. accessory has no grandchildren. association has no children. sound has no grandchildren. hardware has no children. happiness has no grandchildren but has 5 children: computer, shelter, donut, shell, and soup. desert has no grandchildren. parameter has no children. processor has no children. keyboard has no children. drums has no children. ladybug has 9 grandchildren: foot and snake (whose parent is measurement), banana, city, mushroom, volume, and fish (whose parent is smile), and tea and forecast (whose parent is lace). signal has two children; program and clock. management has no grandchildren. beaver has no grandchildren. cache has no children. process has no children. laptop has no grandchildren. ceiling has no children. procedure has no grandchildren. horse has no children. experiment has no grandchildren but has 2 children: roof and glasses. petal has no children. device has no grandchildren. snake has no children. ritual has no children. spoon has no grandchildren. salt has no grandchildren but has 5 children: style, hill, shield, shine, and conference. template has no grandchildren but has 5 children: keys, pumpkin, politics, necklace, and cable. distribution has no children. education has no children. mustache has no children. What is the cousin of the radio? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "7baa41ba749d169ce4412316158120d45e8447bdc430092321f8e73aede0c58d",
    "id": "bbeh:spatial_reasoning:085",
    "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles,  ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a carrot. Then you move down-left for one step and see a pen. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a knife. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a basket. Then you move right for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a lemon. Then you don't move for a while. Then you move down-right for one step and see a tree. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a pomegranate. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a peanut. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a cat. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step and see a television. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a watermelon. Then you don't move for a while. Then you move down-left for one step and see a fork. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a bread. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step and see a tiger. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a pencil. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a bed. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a car. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move left for one step and see a paper. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "f95609432d215beb7651bd88b40b56234df9fb967703a65bf37dc69081074d2f",
    "id": "bbeh:spatial_reasoning:090",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a cranberry. Then you move down-left for one step and see a lamp. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mirror. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step and see a knife. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tiger. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step and see a fish. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a strawberry. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a grater. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a bread. Then you don't move for a while. Then you move down-left for one step and see a snowball. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a blackberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a clementine. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a stone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a raspberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a pencil. Then you don't move for a while. Then you move up-right for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a dresser. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a laptop. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step and see a persimmon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a television. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "391bd744932930951b774af3b57ec369064be81c95549bad19b90c451fb5fe61",
    "id": "bbeh:spatial_reasoning:097",
    "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles,  ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a desk. Then you move down-right for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a cucumber. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a tart. Then you don't move for a while. Then you move left for one step and see a snowball. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a persimmon. Then you don't move for a while. Then you move down-right for one step and see a lemon. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a mug. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bean. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a grater. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a potato. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step and see a bed. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a towel. Then you move left for one step and see a flower. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a bike. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a plum. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a banana. Then you don't move for a while. Then you move up-right for one step and see a lamp. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a snake. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step and see a knife. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a fig. Then you don't move for a while. Then you move right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a watermelon. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a brush. Then you move down-right for one step and see a mango. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "ce106dca76cf3929b1f15e1ced36da3b46462b8c8c375c2fcd323d13d7a68e29",
    "id": "bbeh:spatial_reasoning:100",
    "request": "You have been given a circular path consisting of 12 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find an agama. Moving in a clockwise direction from the agama, the elements on the path are a hen, a Gordon Setter, a fur coat, a vacuum cleaner, a burrito, an ocean liner, a Cardigan Welsh Corgi, a rain barrel, a toilet paper, a cowboy hat, and a hammerhead shark. Starting from the ocean liner, you move around the ring by 10 steps in a counter-clockwise direction, and you move around the ring by 2 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "31ab850b156efebcb643c3978664708e6048a94db0288a6379b26288b0aeec12",
    "id": "bbeh:spatial_reasoning:102",
    "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a European green lizard. You move down-left by one step, where you find a skunk. You move down by one step, where you find a wok. You move down-left by one step, where you find a husky. You move down by one step, where you find a golf ball. You move down-right by one step, where you find a red wine. You move up-right by one step, where you find a wall clock. You move up by one step, where you find a coho salmon. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "9b857d557cdce102ff70092d3bfe7a48bbb3bceb33a4437558add07fd70eb536",
    "id": "bbeh:spatial_reasoning:104",
    "request": "You have been given a circular grid consisting of 12 connected dots. Starting from a vertex, you will move along the edges of the circular grid. Initially, you are positioned on the dot that's located at the top of the grid, where you find a cuirass. You move around the ring by 11 steps in a clockwise direction, where you find an Irish Wolfhound. You move around the ring by 2 steps in a counter-clockwise direction, where you find a Bernese Mountain Dog. You move around the ring by 11 steps in a clockwise direction, where you find a lynx. You move around the ring by 8 steps in a clockwise direction, where you find a menu. You move around the ring by 6 steps in a clockwise direction, where you find a knot. You move around the ring by 7 steps in a clockwise direction, where you find a St. Bernard. You move around the ring by 1 step in a clockwise direction, where you find a restaurant. You move around the ring by 9 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "b93f542ce1f3a231183c4c77449d0ad27b8f80d08c0ca81e4bbab7d9bcdc12f8",
    "id": "bbeh:spatial_reasoning:110",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a bike. Then you move down-right for one step and see a carrot. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a cranberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a doll. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a toy. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a grater. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a walnut. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a blueberry. Then you don't move for a while. Then you move down-left for one step and see a mango. Then you don't move for a while. Then you move down-right for one step and see a peanut. Then you move down-right for one step and see a brush. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a raspberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a television. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a grape. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step and see a paper. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a dresser. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a pomegranate. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "299718dc00aa28309dd9b0381a4dfcafc46a6a11ced8bd043f9f4da3b102455e",
    "id": "bbeh:spatial_reasoning:112",
    "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a computer keyboard. You move down-right by one step, where you find an Asian elephant. You move down by one step, where you find a butternut squash. You move down-left by one step, where you find a common redshank. You move down by one step, where you find a volcano. You move down-right by one step, where you find a white stork. You move up-right by one step, where you find a golf cart. You move up by one step, where you find a chickadee. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "5ef26c319c7ca5037f0c20bbe854b837cc382674be3cd19c30de592c079cbdca",
    "id": "bbeh:spatial_reasoning:113",
    "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the left corner of the grid, where you find a sulphur-crested cockatoo. You move down-right by one step, where you find a plow. You move down-right by one step, where you find a Malinois. You move up-right by one step, where you find a barbershop. You move up-left by one step, where you find a washing machine. You move up-left by one step, where you find a mongoose. You move up-right by one step, where you find a sarong. You move down-right by one step, where you find an Afghan Hound. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "b846fa2dd11b1666dc867c2c6681cce48d7a76e0226715161edb43fd4ee6bac0",
    "id": "bbeh:spatial_reasoning:115",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a printer. Then you move down-right for one step and see a towel. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a laptop. Then you don't move for a while. Then you move down-left for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tomato. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a cat. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a watermelon. Then you move down-left for one step and see a walnut. Then you move down-right for one step and see a peanut. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a pie. Then you move down-left for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a dresser. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a grape. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a banana. Then you don't move for a while. Then you move down-left for one step and see a paper. Then you don't move for a while. Then you move up-left for one step and see a tree. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a spoon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a lamp. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a stone. Then, you jump to a random vertex V where you see a bean. Then you move down-right for one step and see a fig. Then you don't move for a while. Then you move down-right for one step and see a snake. Then you move down-right for one step and see a fork. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you don't move for a while. Then you move down-left for one step and see a can. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a tiger. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a raspberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bike. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a car. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a crib. Then you don't move for a while. Then you move up-left for one step and see a soap. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a pencil. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a peanut. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: down-right, down-left, down-left, up-left, down-right, up-right, up-left, up-left, up-left, up-right, down-right, down-left, up-left, up-left. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "5cc61a01a1d04c56089432a350d90a12417bc925cf05ee1a5f6c2d8b19c9bbd0",
    "id": "bbeh:spatial_reasoning:121",
    "request": "You have been given a circular path consisting of 9 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a lorikeet. Moving in a clockwise direction from the lorikeet, the elements on the path are a loupe, a barometer, an American coot, a tank, a bubble, a crane (bird), a hoop skirt, and a common gallinule. Starting from the American coot, you move around the ring by 3 steps in a counter-clockwise direction, and you move around the ring by 4 steps in a clockwise direction, and you move around the ring by 4 steps in a clockwise direction, and you move around the ring by 6 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "154f1695abe65f19db8c6661a16d36603997dc3e5a9f0c977a6b5db21aa6479b",
    "id": "bbeh:spatial_reasoning:124",
    "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the bottom corner of the grid, where you find a Griffon Bruxellois. You move up-left by one step, where you find a cuirass. You move up-right by one step, where you find a violin. You move down-right by one step, where you find an assault rifle. You move up-right by one step, where you find a drum. You move up-left by one step, where you find an Australian Silky Terrier. You move up-left by one step, where you find a Bouvier des Flandres. You move down-left by one step, where you find a hair dryer. You move down-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "b0a195d689a286a9836673dcd5b07dc163206c7d10900cdba5e91edf70cd0c8d",
    "id": "bbeh:spatial_reasoning:125",
    "request": "You have been given a circular grid consisting of 12 connected dots. Starting from a vertex, you will move along the edges of the circular grid. Initially, you are positioned on the dot that's located at the top of the grid, where you find a couch. You move around the ring by 11 steps in a counter-clockwise direction, where you find a scoreboard. You move around the ring by 3 steps in a clockwise direction, where you find a chest. You move around the ring by 2 steps in a clockwise direction, where you find a magnetic compass. You move around the ring by 3 steps in a clockwise direction, where you find a radio. You move around the ring by 10 steps in a clockwise direction, where you find a sea snake. You move around the ring by 7 steps in a clockwise direction, where you find a Pickelhaube. You move around the ring by 3 steps in a counter-clockwise direction, where you find a match. You move around the ring by 2 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "c9dd6e19de51fa477511f26842bb6332321dd449002797d15be1a2a6bdf0befb",
    "id": "bbeh:spatial_reasoning:130",
    "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a weasel. You move down-left by one step, where you find an amphibious vehicle. You move down by one step, where you find a chickadee. You move down-right by one step, where you find a lighter. You move down by one step, where you find a parachute. You move down-left by one step, where you find a megalith. You move up-left by one step, where you find a T-shirt. You move up by one step, where you find a garbage truck. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "6df864bce123b5d73cb5dbf4956a8ab8f44995a216aad45a30a0b79464a5616e",
    "id": "bbeh:spatial_reasoning:137",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a bean. Then you move down-right for one step and see a watermelon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a doll. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a knife. Then you don't move for a while. Then you move down-right for one step and see a bread. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a persimmon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a football. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a laptop. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a kiwi. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a toy. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a blueberry. Then you move up-right for one step and see a mirror. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a dog. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a television. Then you move up-right for one step and see a bed. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a grape. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a snowball. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a pen. Then you don't move for a while. Then you move up-right for one step and see a bread. Then you jump back to the random vertex V and do the following moves: down-left, up-right, down-left, up-right, down-right, down-right, down-left, up-right, down-right, up-right, down-right, down-right, up-left, up-right. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "74b64139a66382036241cb4258704f3c06f2dd60aeb5649dbf17511d270152a3",
    "id": "bbeh:spatial_reasoning:140",
    "request": "You have been given a circular grid consisting of 12 connected dots. Starting from a vertex, you will move along the edges of the circular grid. Initially, you are positioned on the dot that's located at the top of the grid, where you find a unicycle. You move around the ring by 9 steps in a counter-clockwise direction, where you find a centipede. You move around the ring by 9 steps in a counter-clockwise direction, where you find a warthog. You move around the ring by 3 steps in a clockwise direction, where you find a goldfish. You move around the ring by 5 steps in a counter-clockwise direction, where you find a water tower. You move around the ring by 5 steps in a counter-clockwise direction, where you find a barber chair. You move around the ring by 11 steps in a clockwise direction, where you find a lacewing. You move around the ring by 3 steps in a counter-clockwise direction, where you find a barn. You move around the ring by 3 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "09c06572b6ebf22e517d92459573fd4f274983bb8f3156d2a6faac83a2a6747d",
    "id": "bbeh:spatial_reasoning:145",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a rug. Then you move down-left for one step and see a bed. Then you don't move for a while. Then you move down-right for one step and see a kiwi. Then you move down-right for one step and see a shampoo. Then you don't move for a while. Then you move down-right for one step and see a mug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a mango. Then you don't move for a while. Then you move up-left for one step and see a television. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a fish. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bear. Then you don't move for a while. Then you move up-left for one step and see a cell phone. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a tomato. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a doll. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a lamp. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bean. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a fork. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a plum. Then you move up-right for one step and see a fox. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a backpack. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a mirror. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a book. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a lychee. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a dog. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a pomegranate. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a grapefrut. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "8ec9e3f1901083e41074839b2dd61ffd376b00fbac88a0b60aedf4bd631f02b2",
    "id": "bbeh:spatial_reasoning:154",
    "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a jackfruit. You move down-left by one step, where you find a Flat-Coated Retriever. You move down by one step, where you find a school bus. You move down-left by one step, where you find a sea slug. You move down by one step, where you find a wallaby. You move down-right by one step, where you find a French horn. You move up-right by one step, where you find a horse-drawn vehicle. You move up by one step, where you find a garter snake. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "0aaa722253006964bcc9a73084396aef88d6fe95f97284f8a28f806bc29805a2",
    "id": "bbeh:spatial_reasoning:157",
    "request": "You have been given a tree structure with 817 nodes. jar, interaction, container, and pattern are siblings. link has no grandchildren but has 5 children: balloon, stem, sociology, resilience, and creativity. map has no grandchildren. air has no children. scissors has no grandchildren. radio has no children. ornament has two children; spectrum and weakness. goat has no grandchildren. bridge has no children. socks has no grandchildren. marker has no children. juice has no children. density has no grandchildren. pepper has no grandchildren. farm has two children; book and toe. shortcut has no children. bottle has no grandchildren. gate has no children. fence has no grandchildren. cookie has 5 children: hardware, poem, pixel, nose, and coffee. glue has no children. truck has no children. seed has two children; template and door. galaxy has no children. shape has no grandchildren. record has no children. anchor has no grandchildren. decoration has no children. sensor has no grandchildren. drill has no children. gateway has no grandchildren. giraffe has 9 grandchildren: sky and planet (whose parent is stove), decoration and wine (whose parent is claw), and tea, bottle, pliers, toy, and measurement (whose parent is cereal). input has no grandchildren. seminar has no grandchildren. cow has no grandchildren. memory has 5 children: yogurt, river, activation, diode, and instrument. rope has no grandchildren. shelter has no grandchildren. accountability has no grandchildren but has 5 children: love, protocol, clarity, challenge, and belief. letter has no grandchildren but has 2 children: system and objective. circuit has no children. butterfly has no children. frame has no children. browser has no grandchildren but has 3 children: heuristic, internet, and risk. bear has no children. ladybug has no children. rain has no grandchildren. lesson has no grandchildren. rice has no grandchildren but has 4 children: rock, port, resource, and calendar. ceremony has no grandchildren. needle has no grandchildren. mathematics has no children. rat has no grandchildren. light has no grandchildren. sign has no children. symmetry has no grandchildren. speaker has 5 children: result, cricket, feeling, steak, and merge. dust has no children. pot has no grandchildren but has 3 children: tiger, firewall, and theory. radish has no grandchildren. library has no children. experience has no grandchildren. bulb has no grandchildren. sandwich has no grandchildren. planet has no children. processor has no grandchildren. medicine has no children. inductor has no children. structure has no children. luster has no grandchildren. frequency has no children. sky has no children. charger has no children. river has no children. statistic has no grandchildren. drums has no grandchildren. instrument has no grandchildren. island has no children. bike has no grandchildren. wine has no children. pea has two children; silence and fire. emphasis has no children. lemon has 3 children: dust, bulb, and coin. guideline has no grandchildren but has 2 children: compiler and shrimp. disc has two children; crystal and equipment. worm has no children. mosquito has no children. evaluation has no grandchildren. account has no children. search has no grandchildren but has 4 children: knife, wolf, soup, and raspberry. projector has no grandchildren. blanket has no grandchildren. folder has no grandchildren. pumpkin has no grandchildren. efficiency has no grandchildren. tint has 3 children: experience, zebra, and folder. feeling has no grandchildren. video has no grandchildren but has 2 children: crown and router. turtle has no grandchildren. pan has no grandchildren. store has no grandchildren. beaver has 5 children: pencil, sandwich, method, database, and pumpkin. address has no grandchildren. wire has no children. mango has no grandchildren but has 5 children: policy, branch, socket, truth, and network. probability has no grandchildren. kite has no grandchildren. device has no children. cricket has no grandchildren. medal has 18 grandchildren: wave, jewel, and ceremony (whose parent is function), date, dance, strategy, performance, and website (whose parent is suitcase), bear and sugar (whose parent is motorcycle), trophy, tactic, pants, and icon (whose parent is badge), and size, drill, module, and teamwork (whose parent is marketing). cursor has no children. gathering has no children. performance has no grandchildren. tape has no children. clustering has no children. sofa has no children. tongue has no children. spreadsheet has 11 grandchildren: cable, salt, dress, and letter (whose parent is art), hope, technology, and tint (whose parent is festival), and pot, accountability, appliance, and building (whose parent is sculpture). kangaroo has no children. management has no grandchildren. patch has no grandchildren but has 3 children: spoon, watch, and candy. keyboard has 5 children: concept, gloves, structure, turtle, and resistor. train has no children. weakness has two children; nail and pillow. news has no children. observation has 4 children: tunnel, event, smoke, and clustering. waterfall has no children. asparagus has no children. impact has no grandchildren. society has no grandchildren. dirt has no grandchildren. hat has no children. connection has no grandchildren. glitter has no grandchildren. book has no children. bead has no grandchildren. table has no children. purse has no grandchildren. vehicle has no children. slug has no grandchildren but has 3 children: output, company, and mouse. pixel has 13 grandchildren: shirt, island, footer, and sparkle (whose parent is follower), society, statue, galaxy, and form (whose parent is dishwasher), puzzle, mosque, and axe (whose parent is improvement), and piano and toothpaste (whose parent is gradient). hardware has 5 children: lemon, park, browser, toolbar, and slug. sugar has no children. lecture has no grandchildren. mustache has no children. image has no grandchildren. park has two children; smile and switch. service has 4 children: documentary, fox, resistance, and anger. hub has 3 children: strawberry, rope, and projector. skateboard has no grandchildren. archive has 4 children: device, duck, muscle, and hospital. road has 3 children: color, petal, and notebook. stamp has no children. resistor has no children. movement has no grandchildren. strategy has no grandchildren. inspiration has no grandchildren. goal has 3 children: trend, architecture, and guideline. car has no children. message has no children. diode has no grandchildren. monkey has no grandchildren but has 5 children: widget, optimization, story, transition, and photo. result has no children. wrench has no children. finger has 12 grandchildren: movement, image, and kite (whose parent is paint), bow, platform, and screen (whose parent is stage), mosquito and worm (whose parent is communication), and shape, apple, scooter, and poster (whose parent is lettuce). castle has no grandchildren. hand has no grandchildren but has 4 children: broccoli, partnership, revolution, and query. health has no grandchildren. foot has no children. chain has no grandchildren. merge has no grandchildren. convention has 4 children: meeting, horse, treasure, and record. freedom has no children. progress has no children. form has no grandchildren. desert has 4 children: harmony, feather, holiday, and rice. money has no grandchildren. style has no children. threat has 5 children: memory, narrative, parameter, font, and curtain. recommendation has no children. evolution has 8 grandchildren: index, link, repository, conclusion, and influence (whose parent is beer) and road, software, and exhibition (whose parent is chemistry). peach has no grandchildren. plate has no grandchildren. coconut has 5 children: pear, workflow, depth, ribbon, and plant. prompt has 5 children: equality, advertisement, style, eggplant, and money. pasta has no children. plant has no children. thread has no children. tactic has no grandchildren. social has no children. pin has no children. tear has 5 children: earrings, psychology, joy, algorithm, and elephant. website has no grandchildren. ritual has no children. food has no grandchildren. toolbar has no grandchildren but has 5 children: frog, cry, sequin, organization, and spinach. clipboard has no children. procedure has no grandchildren. wind has 4 children: connection, soda, shield, and belt. equality has no grandchildren. flag has no children. leadership has no children. controller has no grandchildren. jewel has no children. activation has no grandchildren. plastic has no children. sadness has no children. vacuum has no grandchildren. tradition has no children. salt has 4 children: evaluation, theme, freedom, and library. workflow has no grandchildren. city has no grandchildren. eggplant has no grandchildren. value has 11 grandchildren: physics, tooth, furniture, and tomato (whose parent is banner), pea, standard, archive, and paper (whose parent is television), and plum, monkey, and bee (whose parent is audio). cucumber has no children. standard has 5 children: fish, experiment, blanket, project, and chain. boat has no children. cherry has no grandchildren. ladder has no grandchildren but has 2 children: universe and shine. painting has no grandchildren. joy has no grandchildren. tea has no children. muscle has no children. fixture has no children. community has no grandchildren. petal has no grandchildren. bandage has no grandchildren but has 4 children: root, backpack, reflection, and umbrella. smoke has no grandchildren. bone has no grandchildren. scarf has no grandchildren. fur has no grandchildren. actuator has 5 children: sensor, cave, razor, icecream, and hammer. church has two children; fries and cotton. film has no children. duck has no grandchildren. field has no children. resistance has two children; rabbit and grass. fridge has no children. pattern has 15 grandchildren: prediction and finger (whose parent is zucchini), storage, seed, cabbage, and literature (whose parent is object), ornament and giraffe (whose parent is hue), debugger, desert, and vacuum (whose parent is screw), and church, service, norm, and purpose (whose parent is bus). pliers has no children. prediction has 5 children: battery, avatar, password, beaver, and trashcan. apple has no children. belt has no grandchildren. axe has no children. environment has no children. nose has 10 grandchildren: mirror, gate, cheese, process, and proportion (whose parent is tab) and glue, checkbox, ritual, symmetry, and strength (whose parent is augmented). size has no grandchildren. trend has no children. dress has no grandchildren but has 4 children: diversity, tone, model, and tissue. norm has 18 grandchildren: table, cluster, stamp, and candle (whose parent is chocolate), presentation and management (whose parent is tool), town, content, truck, and neural (whose parent is spider), leadership, school, sponge, volume, and profile (whose parent is deploy), and domain, lime, and status (whose parent is responsibility). holiday has no grandchildren. pencil has no children. weight has no children. rhythm has no children. tree has no grandchildren. business has two children; helmet and mango. venture has no children. fabric has no grandchildren. physics has no grandchildren but has 5 children: squash, doll, happiness, box, and workshop. layer has no grandchildren. gloves has no grandchildren. fly has no grandchildren. effort has no children. cardboard has no children. emotion has no children. sheet has no grandchildren. neural has no children. steak has no children. shade has no children. ethics has no children. checkbox has no grandchildren. balance has 4 children: nest, texture, message, and scissors. fox has no grandchildren but has 3 children: moon, rubber, and rug. sunglasses has no grandchildren. failure has no children. texture has no grandchildren. broom has 5 children: butterfly, vector, game, principle, and drums. debugger has no children. eraser has no children. pear has no grandchildren. simplicity has 5 children: plugin, sheet, task, friend, and enterprise. mosque has no grandchildren. cake has no grandchildren. jacket has no children. pineapple has no grandchildren. eye has no children. pig has no children. elegance has 5 children: address, relationship, fear, phase, and freezer. astronomy has 4 children: law, concert, chair, and constant. page has no grandchildren. silk has no grandchildren. mug has no grandchildren. friend has no children. onion has no children. amplitude has no grandchildren. narrative has no grandchildren but has 2 children: culture and movie. horse has no children. shield has no grandchildren. statue has no children. notebook has no grandchildren. plum has no grandchildren but has 3 children: success, label, and custom. shadow has no grandchildren but has 2 children: heart and cassette. cotton has no grandchildren but has 4 children: distribution, comb, capacitor, and can. technology has 3 children: salad, sound, and jacket. cabbage has 16 grandchildren: necklace, sign, hair, and eraser (whose parent is anthropology), plan, map, glitter, frequency, and input (whose parent is stapler), topic and media (whose parent is shampoo), and gateway, roof, socks, lock, and mountain (whose parent is scroll). ecosystem has no children. justice has 3 children: phone, connector, and business. freezer has no children. enterprise has no children. tower has no grandchildren but has 5 children: digital, remote, raccoon, support, and ticket. goose has no grandchildren. event has no children. lock has no children. corporation has no children. hope has 5 children: chicken, kangaroo, account, editor, and wall. strawberry has no children. package has no grandchildren. anger has no grandchildren but has 4 children: skin, bean, ant, and blueberry. clip has no children. corn has 2 grandchildren: vehicle and cucumber (whose parent is webpage) and 1 children: analysis. avatar has two children; luster and pepper. repository has no grandchildren but has 4 children: headphones, drum, campaign, and microwave. wallet has no grandchildren. icon has no grandchildren. cluster has no children. roof has no grandchildren. font has no grandchildren but has 3 children: brick, coat, and water. crab has no grandchildren. building has no grandchildren but has 3 children: alert, clothing, and program. method has no children. squirrel has no grandchildren. coffee has 4 children: donut, tower, file, and hand. legacy has no children. hospital has no grandchildren. necklace has no grandchildren. zipper has no grandchildren. forum has no grandchildren but has 3 children: artifact, hashtag, and play. lime has no grandchildren. cloth has no children. shell has no children. phone has 10 grandchildren: anchor, flag, and asparagus (whose parent is regression), silk, ethics, camera, and clip (whose parent is console), and cloth, procedure, and mathematics (whose parent is pearl). conference has 3 children: keyboard, elegance, and coconut. helicopter has no grandchildren. deer has 3 children: ball, broom, and prompt. quantum has no grandchildren. article has no grandchildren. classification has 9 grandchildren: ice, rain, train, and peach (whose parent is email) and temple, commit, quantum, tree, and association (whose parent is class). mountain has no children. sound has no grandchildren. password has no children. coin has no children. candle has no children. battery has 5 children: rhythm, empowerment, inductor, goat, and fly. server has no grandchildren. yarn has no grandchildren. rabbit has no grandchildren. science has no children. signal has no children. window has no grandchildren but has 2 children: snail and trumpet. school has no grandchildren. module has no children. activity has 3 children: wind, window, and mouth. grass has no children. law has 10 grandchildren: future, scarf, ladybug, mug, and skateboard (whose parent is framework), castle, signal, and fur (whose parent is voltage), and medicine and chip (whose parent is sketch). platform has no children. ball has 3 children: needle, efficiency, and charger. content has no grandchildren. earrings has no grandchildren. documentary has no grandchildren but has 2 children: microphone and saw. association has no grandchildren. engine has no grandchildren. process has no grandchildren. mushroom has two children; zipper and sadness. trashcan has 4 children: amplitude, community, crab, and emphasis. psychology has no grandchildren. keys has no grandchildren. pants has no grandchildren. button has 14 grandchildren: hat, mustache, cake, egg, and flower (whose parent is compass), wallet, variety, bike, and adapter (whose parent is innovation), and pill, fridge, yarn, terminal, and printer (whose parent is grape). garden has no grandchildren. printer has no children. measurement has no children. fries has 4 children: air, tongue, block, and bridge. solution has no grandchildren. game has no children. philosophy has no grandchildren. clock has no grandchildren. future has no children. card has no children. pizza has 16 grandchildren: purse and screwdriver (whose parent is violin), news, server, snake, and keys (whose parent is glass), impact, ecosystem, fabric, eye, and goose (whose parent is laugh), and conditioner, sofa, dirt, dryer, and tape (whose parent is document). analog has no children. effectiveness has 6 grandchildren: pen and shadow (whose parent is brush) and video, guitar, simplicity, and oven (whose parent is bag). icecream has no children. commit has no children. engineering has no children. egg has no grandchildren. kiwi has no children. file has no grandchildren but has 5 children: meaning, shoes, lake, correlation, and carrot. puzzle has no grandchildren. presentation has no children. storage has 4 children: speaker, bandage, farm, and hill. hammer has no children. conditioner has no grandchildren. vector has no children. yogurt has no grandchildren. toe has no grandchildren. concept has no grandchildren. block has no children. coral has no children. hair has no children. experiment has no children. plan has no children. pipeline has no children. toy has no children. proportion has no children. zebra has no grandchildren. razor has no children. purpose has 3 children: patch, onion, and convention. interface has no grandchildren. door has 4 children: fixture, film, passion, and article. pen has no grandchildren but has 5 children: thought, washer, butter, report, and motivation. variety has no children. literature has 10 grandchildren: cow, frame, and corporation (whose parent is scale), tradition, weight, boat, and radish (whose parent is advantage), and food, progress, and hate (whose parent is goodness) and 1 children: avocado. leaf has 4 children: popup, legacy, diary, and power. furniture has no grandchildren but has 2 children: burger and chat. architecture has no grandchildren but has 3 children: dog, notification, and milk. helmet has no grandchildren but has 4 children: leather, ruler, collaboration, and sheep. tooth has 5 children: application, lesson, page, rat, and pin. color has no grandchildren. passion has no children. ribbon has no grandchildren. container has 11 grandchildren: button, dream, and matrix (whose parent is music), classification and goal (whose parent is wood), pizza and corn (whose parent is stone), and key, conference, activity, and disc (whose parent is simulation). sponge has no grandchildren. hate has no children. jar has 5 children: astronomy, cookie, evolution, sword, and spreadsheet. chicken has no grandchildren. globe has 4 children: turkey, plastic, sales, and pineapple. mouth has 3 children: shortcut, clipboard, and store. poem has two children; globe and tensor. application has no children. dream has 7 grandchildren: bead, engineering, venture, and wire (whose parent is metal) and thread, code, and city (whose parent is peace). treasure has no children. diary has no grandchildren. exhibition has no grandchildren but has 3 children: beard, earth, and sun. influence has no grandchildren but has 4 children: wing, virtual, bowl, and change. nail has no children. cache has no grandchildren. ice has no children. development has no children. interaction has 3 children: effectiveness, value, and justice. task has no grandchildren. cave has no grandchildren. town has no children. soda has no children. soap has no children. slider has no grandchildren but has 3 children: song, accessory, and house. transistor has no grandchildren but has 4 children: dustpan, cat, disk, and biology. strength has no children. screwdriver has no grandchildren. template has no grandchildren but has 4 children: ocean, brain, initiative, and cloud. morality has no children. connector has two children; balance and hub. media has no grandchildren. snake has no children. temple has no children. chair has 16 grandchildren: cardboard, probability, social, fence, and solution (whose parent is rocket), bone, painting, pasta, and analog (whose parent is thorn), statistic and shell (whose parent is mop), philosophy, environment, and sunglasses (whose parent is wisdom), and disadvantage and clock (whose parent is couch). advertisement has no grandchildren. smile has no grandchildren. software has no grandchildren but has 2 children: celebration and potato. camera has no children. salad has no grandchildren. date has no grandchildren. blog has 7 grandchildren: package and morality (whose parent is instance) and inspiration, engagement, density, helicopter, and development (whose parent is forest). scooter has no children. algorithm has no grandchildren. status has no grandchildren. switch has no grandchildren. nest has no grandchildren. domain has no children. key has 5 children: slider, sand, leaf, tear, and search. tomato has 3 children: pan, seminar, and village. harmony has two children; plate and circuit. footer has no grandchildren. index has no grandchildren but has 3 children: current, header, and tablet. guitar has 4 children: card, shade, health, and controller. turkey has no grandchildren. bee has 4 children: field, lecture, foot, and recommendation. volume has no children. shirt has no grandchildren. village has no grandchildren. politics has no grandchildren. editor has no children. pill has no grandchildren. feather has two children; kiwi and drive. wave has no children. wall has no children. pillow has no grandchildren. silence has no grandchildren. bucket has no children. piano has no children. tensor has 4 children: car, pipeline, interface, and politics. trophy has no children. database has no grandchildren. fire has no children. tunnel has no children. sales has no children. sand has 3 children: cherry, squirrel, and effort. project has no grandchildren. conclusion has no grandchildren but has 4 children: shovel, transformation, drawing, and relic. spectrum has two children; failure and layer. phase has no grandchildren. terminal has no grandchildren. principle has no children. dance has no grandchildren. fear has no children. relationship has no grandchildren. profile has no children. concert has 3 children: forum, mushroom, and transistor. flower has no children. engagement has no children. depth has no grandchildren. bow has no grandchildren. popup has no grandchildren. machine has no grandchildren but has 5 children: desk, fig, drink, ring, and illusion. paper has 3 children: waterfall, pig, and marker. empowerment has no grandchildren. poster has no children. plugin has no children. cheese has no children. donut has no grandchildren but has 2 children: regulation and laptop. mirror has no grandchildren. parameter has two children; wrench and lamp. adapter has no children. cable has two children; coral and gathering. drive has no grandchildren. appliance has 5 children: processor, shelter, melon, engine, and soap. sword has 4 children: threat, blog, deer, and medal. toothpaste has no grandchildren. meeting has no children. theme has no children. disadvantage has no children. oven has no grandchildren but has 4 children: lizard, ceiling, towel, and lion. hill has no grandchildren but has 4 children: validation, linguistics, star, and bracelet. elephant has no children. chip has no children. lamp has no grandchildren. gem has 5 children: light, science, bucket, garden, and juice. constant has two children; lace and machine. matrix has 4 children: observation, actuator, gem, and ladder. equipment has no grandchildren but has 4 children: landscape, toothbrush, idea, and beach. topic has no grandchildren. fish has no children. code has no grandchildren. teamwork has no grandchildren. crystal has no grandchildren but has 3 children: garlic, unity, and sustainability. sparkle has no children. power has no grandchildren. screen has no children. lace has 4 children: cache, emotion, radio, and cursor. curtain has no grandchildren but has 2 children: history and present. dryer has no grandchildren. melon has no children. What is the cousin of the ice? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "7ed5faea3395f4b4a2c2163b299b4ad4beb9835c78ae4db9c13bb4566fab3d1c",
    "id": "bbeh:spatial_reasoning:170",
    "request": "You have been given a circular grid consisting of 12 connected dots. Starting from a vertex, you will move along the edges of the circular grid. Initially, you are positioned on the dot that's located at the top of the grid, where you find an Irish Water Spaniel. You move around the ring by 6 steps in a clockwise direction, where you find a television. You move around the ring by 2 steps in a counter-clockwise direction, where you find a wallet. You move around the ring by 7 steps in a clockwise direction, where you find a castle. You move around the ring by 6 steps in a clockwise direction, where you find a bulbul. You move around the ring by 5 steps in a clockwise direction, where you find a wing. You move around the ring by 2 steps in a counter-clockwise direction, where you find a Petri dish. You move around the ring by 6 steps in a counter-clockwise direction, where you find a station wagon. You move around the ring by 6 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "47a24a85a969694f19c9175e8a0a7455fe4175849b33fc667427aa32c96dc8e3",
    "id": "bbeh:spatial_reasoning:172",
    "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the right corner of the grid, where you find a Windsor tie. You move down-left by one step, where you find a red king crab. You move down-left by one step, where you find a face powder. You move up-left by one step, where you find a lion. You move up-left by one step, where you find a lakeshore. You move up-right by one step, where you find a corkscrew. You move up-right by one step, where you find a medicine chest. You move down-right by one step, where you find a king penguin. You move down-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "29cae7791bd326d4c0a0d31c09d225a03dbe59563b87fa8fbc182a5767707529",
    "id": "bbeh:spatial_reasoning:181",
    "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the bottom right corner of the map, where you find a barrel. You move up by one step, where you find an infant bed. You move up-left by one step, where you find a garbage truck. You move up by one step, where you find a marmot. You move up-left by one step, where you find a Labrador Retriever. You move down-left by one step, where you find a balance beam. You move down by one step, where you find a beaker. You move down-right by one step, where you find an Afghan Hound. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "162d68007c5abbe9d18e6c5a92abe67399f01d502828c54c1581b3cbf7c5ec11",
    "id": "bbeh:spatial_reasoning:188",
    "request": "You have been given a circular path consisting of 9 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a snow leopard. Moving in a clockwise direction from the snow leopard, the elements on the path are a potter's wheel, an odometer, a tiger cat, a tench, a common squirrel monkey, a Pomeranian, an envelope, and a Sussex Spaniel. Starting from the tiger cat, you move around the ring by 5 steps in a clockwise direction, and you move around the ring by 9 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "8e7146d063706ec9d1d3cfe83a26f2e994b6e208ccb31eb1c702c562f0c9b99d",
    "id": "bbeh:spatial_reasoning:191",
    "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a potato. Then you move down-right for one step and see a mango. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a cranberry. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a doll. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a fish. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a laptop. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a towel. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a lychee. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a watermelon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a bike. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a cake. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a persimmon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a basket. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step and see a kiwi. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a peanut. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a banana. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a raspberry. Then you move down-left for one step and see a tiger. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bread. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a fish. Then you jump back to the random vertex V and do the following moves: up-left, down-right, down-right, down-left, down-right. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "e172107a6f141eb5ec6b49b29ef502d6202c543aba368e8a738dfbc95137d13c",
    "id": "bbeh:spatial_reasoning:195",
    "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles,  ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a desk. Then you move down-right for one step and see a raspberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tree. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step and see a mug. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a flower. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a soap. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a fork. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a stone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a statue. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step and see a can. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a banana. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move left for one step and see a tomato. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a bean. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a mirror. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a crib. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a dog. Then you move down-left for one step and see a peanut. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then, you jump to a random vertex V where you see a pomegranate. Then you move up-right for one step and see a clementine. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a cranberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a backpack. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a brush. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a television. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a basket. Then you don't move for a while. Then you move up-left for one step and see a tart. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a dog. Then you don't move for a while. Then you jump back to the random vertex V and do the following moves: down-left, down-left, right, up-left, left, down-right, left, right, up-right, up-left, down-right, down-right, left, left, up-right, up-left, left. What will you find?  Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "spatial_reasoning"
  },
  {
    "dataset": "bbeh",
    "family": "2449e95395f482fe3679704d27f64fe0813ea8f767228c0c2b0ef541d0207849",
    "id": "bbeh:sportqa:008",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During a high-stakes college football game, the head coach of Team A decides to implement a rotation strategy to keep his key players fresh for the crucial final quarter. He substitutes his star quarterback and top linebacker after they have played a combined total of 30 minutes. The quarterback has played twice the amount of time as the linebacker when he is substituted. If the quarterback is allowed to play again after sitting out for the duration that the linebacker initially played, but the linebacker must rest for twice the length of time the quarterback initially played before returning, which quarter will both the quarterback and linebacker be eligible to play together again, assuming each quarter is 15 minutes long?  A) Second Quarter B) Third Quarter C) Fourth Quarter D) They will not be eligible to play together again in the game\nSub-Question 1: If the quarterback played twice the amount of time as the linebacker before being substituted, and their combined playtime before substitution was 45 minutes, how many minutes did the quarterback play?  A) 20 minutes B) 30 minutes C) 75 minutes D) 100 minutes\nSub-Question 2: Given the quarterback's initial playtime, for how many minutes must the linebacker rest before being eligible to play again?  A) 20 minutes B) 30 minutes C) 40 minutes D) 100 minutes\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "44ae37fec1d2fd6abc22c9c3064eaf65739c0437289e2307871289f9f3e3ab4c",
    "id": "bbeh:sportqa:010",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During a critical playoff game in American Football, a wide receiver catches the ball near the sideline and takes two steps before being tackled. The ruling on the field is a completed pass, but the opposing team challenges the call, arguing the receiver did not have control of the ball. The replay shows the receiver had the ball in his hands but was bobbling it as he went out of bounds. Why might the official uphold the ruling of a completed pass despite the challenge and the replay evidence?  A) The receiver had both feet in bounds when he caught the ball. B) The receiver maintained control of the ball long enough to perform an act common to the game. C) The ball did not touch the ground before the receiver went out of bounds. D) The tackle on the receiver was illegal, which would negate the bobble.\nSub-Question 1: Why is the position of the receiver's feet at the time of the catch relevant to the ruling of a completed pass?  A) It determines if the receiver was within the playing field when he gained possession. B) It indicates whether the receiver was behind the line of scrimmage. C) It affects the clock management in the final minutes of the game. D) It establishes if the receiver was eligible to catch the ball.\nSub-Question 2: Why does the receiver's ability to perform an act common to the game after gaining control of the ball influence the decision on a completed pass?  A) It shows that the receiver had enough control to make a football move, such as turning upfield or tucking the ball away. B) It demonstrates the receiver's skill and proficiency in catching. C) It is relevant for determining the spot of the foul if there was defensive pass interference. D) It impacts the determination of whether the pass was forward or backward.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "02d11cb90905cf98ef6a77179dec6954037526b385fb34c5a04e0f6cb3ae2829",
    "id": "bbeh:sportqa:017",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might Replay Officials be particularly challenging to implement effectively in American Football games?  A) The dynamic and continuous nature of the gameplay makes it difficult to determine the precise moment for review. B) The high number of subjective calls that are made by on-field referees cannot be easily adjudicated by video review. C) The rules of American Football are complex and frequently updated, which may lead to inconsistencies in video review. D) The presence of numerous players and rapid play developments can obscure clear viewing angles for video analysis.\nSub-Question 1: Why is it difficult to determine the precise moment for review by Replay Officials in American Football?  A) The fast-paced nature of the game means that plays transition quickly without clear breaks. B) The exact moment of a foul or rule infraction is often ambiguous and requires real-time judgement. C) Stoppage time is not clearly defined as in other sports, leading to confusion about when to initiate a review. D) The ball is often hidden in scrums or tackled piles, making it difficult to pinpoint when an infraction occurs.\nSub-Question 2: What makes subjective calls in American Football challenging for Replay Officials to adjudicate?  A) The determination of what constitutes a catch can vary greatly depending on the situation and angle. B) Penalties such as pass interference involve judgement calls that may not be conclusive even with video evidence. C) The intent behind a player's action is often crucial and cannot always be discerned through video alone. D) Some rules are based on the officials' discretion, which cannot be replicated by a video review system.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "6583e71f9358c3b7d6be9f0bf330480ac715a6029a91f558062d11576f2f3bd8",
    "id": "bbeh:sportqa:028",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the division of responsibilities in an American Football team during a game scenario where the offense is on the third down with long yardage to go for a first down, and the head coach has decided to attempt a surprise onside kick on the next kickoff, affect the roles of the Special Teams Coordinator and the Offensive Coordinator?  A) The Special Teams Coordinator must prepare the kickoff team for a potential onside kick while the Offensive Coordinator focuses on the third-down play. B) The Special Teams Coordinator is responsible for advising the head coach on wind conditions and field position for the onside kick, while the Offensive Coordinator must design a play to gain the necessary yardage. C) The Offensive Coordinator must communicate with the quarterback about the two-play sequence, while the Special Teams Coordinator ensures the field goal unit is prepared for a quick transition. D) The Special Teams Coordinator and the Offensive Coordinator work together to misdirect the opposing team, with the Special Teams Coordinator focusing on kick return formations and the Offensive Coordinator planning a deceptive play.\nSub-Question 1: During the described scenario, how are the responsibilities of the Special Teams Coordinator impacted when considering the surprise onside kick and the field position?  A) The Special Teams Coordinator must review player assignments for the onside kick based on the opponent's return formation. B) The Special Teams Coordinator needs to prepare the hands team for the recovery of the onside kick. C) The Special Teams Coordinator has to coordinate with the head coach regarding the strategic timing of the onside kick. D) The Special Teams Coordinator is responsible for ensuring the punting unit is ready in case of a failed third-down conversion.\nSub-Question 2: In the same scenario, how does the Offensive Coordinator's strategy on the third down influence the team's overall game plan?  A) The Offensive Coordinator must design a play that ensures either a first down conversion or sets up a favorable position for the onside kick. B) The Offensive Coordinator has to prepare two plays in advance, one for the third-down attempt and another as a backup in case of a fourth down. C) The Offensive Coordinator should focus on time management to provide the Special Teams unit enough time to set up for the onside kick. D) The Offensive Coordinator collaborates with the quarterback to decide whether to run a play that conservatively gains yardage or to attempt a high-risk pass.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "07c715523d0fec5f1c915f5dd7ba7f62bf17d79ca753611862b5a51cc839cfed",
    "id": "bbeh:sportqa:032",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:      What is the correct protocol for handling a dispute over a technical foul call in a basketball game, if the coach protests the call and the team captain requests a video replay review, considering the specific regulations of the National Basketball Association (NBA) and the International Basketball Federation (FIBA)?     A. The referee ignores the coach and team captain's requests and proceeds with the game.  B. The referee consults with the team captain and coach before making a final decision.  C. The referee reviews the video replay first, then consults with the coach, and finally makes a decision.  D. The referee reviews the video replay, consults with other officials if necessary, and then makes a final decision.   \nSub-Question 1:     What are the specific regulations of the NBA regarding the use of video replay in handling disputes?     A. Video replay can be used at any time during the game.  B. Video replay is only used in the last two minutes of the game.  C. Video replay is only used in the last two minutes of the fourth quarter and the entire overtime.  D. Video replay is used at the discretion of the referee.   \nSub-Question 2:     What are the specific regulations of FIBA regarding the handling of protests from coaches?     A. Coaches are not allowed to protest during the game.  B. Coaches can protest, but their protests do not affect the referee's decisions.  C. Coaches' protests are considered, but the final decision lies with the referee.  D. Coaches can protest and their protests can overturn the referee's decisions.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "82ce2480f819c9b1a55a4d2e9b36d6923872682a89cb7daef1f64b2bb9e27ee2",
    "id": "bbeh:sportqa:035",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   What is the correct sequence of actions in the following scenario during a professional basketball game: Team A is losing by a single point with only 30 seconds left in the fourth quarter. Team A's coach wants to make a substitution to bring in their best three-point shooter who is currently on the bench. At the same time, Team B requests a timeout. When can Team A's coach make the substitution and what is the rule regarding when the substituted player can enter the game?     A. The substitution can be made immediately after Team B's timeout request and the substituted player can enter the game immediately.  B. The substitution can be made after Team B's timeout ends and the substituted player can enter the game immediately.  C. The substitution can be made immediately after Team B's timeout request but the substituted player can only enter the game after the next dead ball.  D. The substitution can be made after Team B's timeout ends and the substituted player can only enter the game after the next dead ball.   \nSub-Question 1:   When can a coach request a substitution during a professional basketball game?     A. At any point during the game.  B. Only during a timeout.  C. Only during a dead ball.  D. Only during the halftime break.   \nSub-Question 2:   When can a substituted player enter the game during a professional basketball game?     A. Immediately after being substituted.  B. Only when the team that made the substitution is in possession of the ball.  C. Only after the next dead ball.  D. Only when the team that made the substitution is not in possession of the ball.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "ce0f321b2ade79ad50ecc5183d31de39381618afae03434e8be537702835a74e",
    "id": "bbeh:sportqa:042",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   How does the Over-and-back violation rule in basketball apply in a complex scenario where Player A from Team A is dribbling the ball in the frontcourt, loses control of the ball which then bounces into the backcourt, and Player B from Team B attempts to gain control but unintentionally tips the ball further into the backcourt where Player A retrieves it?     A. Player A is charged with an Over-and-back violation immediately when the ball bounces into the backcourt.  B. Player A is charged with an Over-and-back violation when he retrieves the ball in the backcourt.  C. Player A is not charged with an Over-and-back violation since the ball was last touched by Player B from Team B.  D. Player A and Player B are both charged with an Over-and-back violation.   \nSub-Question 1:   According to official basketball rules, when is an Over-and-back violation committed in a normal game scenario?     A. When the player in possession of the ball crosses the center line from the backcourt to the frontcourt, then returns to the backcourt.  B. When the player in possession of the ball crosses the center line from the frontcourt to the backcourt, then returns to the frontcourt.  C. When the player in possession of the ball stays in the backcourt for more than 8 seconds.  D. When the player in possession of the ball crosses the center line from the backcourt to the frontcourt, then returns to the backcourt with the ball.   \nSub-Question 2:   What is the rule when the ball is knocked into the backcourt by an opposing player?     A. The player from the offensive team can retrieve the ball without committing an Over-and-back violation.  B. The player from the offensive team cannot retrieve the ball without committing an Over-and-back violation.  C. The player from the offensive team can retrieve the ball but will be charged with an Over-and-back violation.  D. The player from the defensive team is charged with an Over-and-back violation.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "36c8ff021628527629ac8e6e5e36bbddf2a103da61b7dac9d5fc3caf4786bb1c",
    "id": "bbeh:sportqa:050",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   In a basketball match, what are the possible scenarios that can occur if a team is unable to advance the ball past the mid-court line within 8 seconds, and what are the possible consequences of a Backcourt violation?    A) The opposing team is awarded the ball at the sideline, nearest the spot where the violation occurred, and the game clock is reset to 14 seconds. B) The game is paused, and the offending team is issued a warning, with the game resuming from the same position. C) The offending team is penalized by losing possession of the ball, and the opposing team receives the ball at the half-court line. D) The offending team is given a technical foul, and the opposing team is awarded one free throw.   \nSub-Question 1:   What are the circumstances under which a team may fail to advance the ball past the mid-court line within 8 seconds?    A) The team is deliberately stalling to run down the game clock. B) The team's players are unable to break through the opposing team's defense. C) The team's player in possession of the ball is injured and unable to continue play. D) The team's player in possession of the ball loses control and is unable to recover it within the allotted time.   \nSub-Question 2:   What are the potential scenarios that could lead to a Backcourt violation?    A) A player in possession of the ball steps on or crosses over the mid-court line, then returns to the backcourt and touches the ball. B) A player in possession of the ball passes it to a teammate who is standing in the backcourt. C) A player throws the ball off an opposing player in order to bounce it back to their own half. D) The ball is deflected by an opposing player into the backcourt, and the offensive team is first to touch it.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "6b713ce86a01411c274087bbdc156974b40d3a7e23db988f734b29065467a283",
    "id": "bbeh:sportqa:052",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   What are the possible regulations regarding basketball uniforms and footwear that need to be considered by a team participating in an international basketball tournament?    A) Uniforms must be identical for all team members and should have the player's name and number. B) Footwear should be of a specific brand endorsed by the tournament organizer. C) Each player's uniform must be numbered on the front and back with numbers of a specific size. D) Footwear must have non-marking rubber soles to prevent damage to the court surface.   \nSub-Question 1:   What could be the possible implications if a team does not adhere to the regulations concerning the uniform's appearance?    A) The team may be disqualified from the tournament. B) The team may be allowed to play, but with a penalty. C) The team may be required to change their uniforms before the game. D) The team could lose sponsorship deals.   \nSub-Question 2:   What are the potential consequences if a player's footwear does not meet the specified regulations?    A) The player may not be allowed to participate in the game. B) The player may be allowed to play, but the team could be penalized. C) The player could be fined by the tournament organizers. D) The player may be required to change their footwear before the game.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "16b4cfada850518a783f7b7b9e10478dfd5c5a7bd7ce33098046ffb9596b7a7f",
    "id": "bbeh:sportqa:053",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   How do the duration of timeouts differ in various basketball scenarios?    A) All timeouts are the same length regardless of the game situation. B) The duration of timeouts in NBA games is always longer than in college basketball games. C) The length of timeouts can vary depending on the quarter of the game, whether it's a regular game or playoff, and the league rules. D) Timeouts in the last two minutes of a game are shorter than those in the rest of the game.   \nSub-Question 1:   How does the duration of timeouts change in NBA games based on the game situation?    A) Timeouts in the last two minutes of the game and overtime periods are 60 seconds long. B) Regular timeouts in NBA games are always 75 seconds long. C) There are no changes in timeout duration throughout an NBA game. D) In the last three minutes of the game, each team is limited to two timeouts.   \nSub-Question 2:   How does the duration of timeouts differ between NBA and college basketball games?    A) College basketball has fewer timeouts and they are shorter in duration than NBA timeouts. B) NBA timeouts are longer because the games are more intense and require more strategy. C) Both NBA and college basketball games have the same number and duration of timeouts. D) In college basketball, each team gets five full timeouts, which last 75 seconds, and four 30-second timeouts.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "678253d354b7a7f253000824baab9cbdf92960ca3b1bc89f78b4889b947d881b",
    "id": "bbeh:sportqa:055",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   Which of the following methods can be used to quickly and accurately determine players' positions and actions during a basketball game? A) Utilizing AI and machine learning algorithms to analyze real-time game footage. B) Implementing a GPS tracking system on each player to monitor their movements on the court. C) Analyzing the historical data of each player’s previous games and performance. D) Using the traditional method of human observation and analysis.   \nSub-Question 1:   Which factors should an AI and machine learning algorithm consider to accurately analyze players' positions and actions? A) The player’s speed and direction of movement. B) The player’s historical performance data. C) The distance between the player and the basketball. D) The player's physical characteristics like height and weight.   \nSub-Question 2:   What considerations should be taken into account when implementing a GPS tracking system on each player to monitor their movements on the court? A) Ensuring the accuracy and reliability of the GPS system. B) The player’s comfort and safety with the device. C) The device's ability to withstand the physical demands of a basketball game. D) The device's impact on the game's fairness and integrity.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "16037a99888b3aba4a972503b8ae3b7ab810e77de419065e98f6748dbd7951ee",
    "id": "bbeh:sportqa:062",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   In a basketball match, Player A receives the ball, takes two steps without dribbling, then dribbles, stops, and dribbles again before passing it to Player B. Player B, after receiving the ball, takes three steps without dribbling before making a shot. Why might these actions be considered violations according to standard basketball rules?  A) Player A committed a double dribble and Player B committed traveling. B) Player A committed traveling and Player B committed a double dribble. C) Both Player A and Player B committed traveling. D) Both Player A and Player B committed a double dribble.    \nSub-Question 1:   Why might Player A's action be considered a violation? A) Player A took two steps without dribbling. B) Player A dribbled, stopped, and dribbled again. C) Player A passed the ball to Player B. D) Player A dribbled after taking two steps.   \nSub-Question 2:   Why might Player B's action be considered a violation?  A) Player B took three steps without dribbling. B) Player B received the ball from Player A. C) Player B made a shot after taking three steps. D) Player B dribbled before making a shot.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "288dbdab1ae4836f984a2ef25685b803e745c7693573c14a58794a9302e31d2c",
    "id": "bbeh:sportqa:064",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  In order to avoid biases or external influences on decisions in basketball, which of the following strategies should be implemented by a coach during a basketball game?  A) Rely solely on the performance statistics of the players B) Encourage team members to provide feedback on each other's performance C) Evaluate player performance based on both subjective observations and objective data D) Ignore the opinions of assistant coaches and only make decisions based on personal judgement   \nSub-Question 1:  What are the potential benefits of relying on both subjective observations and objective data in evaluating player performance in basketball? A) It allows for a more comprehensive understanding of player abilities B) It reduces the risk of favoritism or bias in decision-making C) It ensures that decisions are based solely on quantifiable data D) It eliminates the need for personal judgement or intuition   \nSub-Question 2:  Why might encouraging team members to provide feedback on each other's performance be beneficial in avoiding biases or external influences on decisions in basketball? A) It promotes a more democratic decision-making process B) It allows for different perspectives to be considered C) It eliminates the need for the coach to make decisions D) It ensures that decisions are based solely on the opinions of the players\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "63645550c73e99b1dcd65d928b6df09dc34b60c82794a3d56a8199d3ec4c37dd",
    "id": "bbeh:sportqa:065",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   Why might a basketball game be interrupted or suspended due to equipment malfunction or player injuries?    A) A player sustains a serious injury and cannot be moved until medical assistance arrives. B) The basketball hoop breaks and there is no spare available. C) A player suffers a minor injury and insists on continuing the game. D) The scoreboard malfunctions and the officials cannot keep track of the game time and score.   \nSub-Question 1:   Why might a player's injury lead to the suspension of a basketball game?    A) The player trips and falls but is able to continue playing after a short break. B) A player sustains a concussion and needs immediate medical attention. C) A player gets a minor scratch but decides to continue playing. D) The player suffers from cramps but recovers after a short rest.   \nSub-Question 2:   Why might an equipment malfunction lead to the interruption of a basketball game?    A) The game ball deflates but there are spare balls available. B) The basketball hoop breaks and it takes time to replace it. C) The court gets wet due to a leak in the roof but can be quickly dried. D) The scoreboard malfunctions and there is no backup scoreboard available.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "fd5161cbdb2eb8954383f05e7a442e57b8cd9f520e66d1e4b351cc4838fcdcb5",
    "id": "bbeh:sportqa:067",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How can a basketball team manager effectively handle unexpected situations like player altercations or spectators entering the court during a game?    A) Establish a strict code of conduct and enforce it consistently B) Ignore the situation and continue the game  C) Arrange for special security personnel to manage spectators  D) Mediate altercations between players immediately    \nSub-Question 1: How can a strict code of conduct help in managing player altercations?    A) It outlines acceptable behavior and consequences for violations B) It increases the chances of altercations because players feel restricted C) It helps players understand the importance of sportsmanship D) It gives the manager absolute authority over the players   \nSub-Question 2: How can arranging for special security personnel help in managing spectators entering the court?    A) They can prevent spectators from entering the court area B) They can encourage more spectators to enter the court C) They can ensure the safety of both players and spectators D) They can make the game more entertaining\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "87fe0e99f0114b16cb9c898b554af640d468f640f942dac373b32e5cf0dfcbab",
    "id": "bbeh:sportqa:083",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a volleyball official apply warning during a match?    A) A player hits the ball twice in succession. B) A coach directly insults the referee in a non-aggressive manner. C) A player touches the net while the ball is in play. D) A team refuses to continue playing after a controversial decision.  \nSub-Question 1: Why might a coach directly insulting the referee in a non-aggressive manner result in a warning?    A) It undermines the authority of the referee. B) It sets a bad example for the players and spectators. C) It could lead to an escalation of negative behavior from others. D) It disrupts the smooth running of the game.   \nSub-Question 2: Why might a player touching the net while the ball is in play lead to lose a point?    A) It can alter the trajectory of the ball, affecting the game's flow. B) It is a violation of the game's rules. C) It can potentially cause damage to the net. D) It can lead to a physical confrontation with the opposing team.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "b9d07e9592b4c43c6c65f71dcec7c7d93bcdd9675f6be8b3947480cead4ff6b7",
    "id": "bbeh:sportqa:085",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  Which of the following scenarios in a volleyball game are considered losing a point?    A) A player hits the ball twice in succession. B) A player performs a service outside the service zone. C) The ball hits the antenna during a rally. D) A player touches the net while attempting to block a shot.   \nSub-Question 1:  In which of the following scenarios would a double hit by a player be acceptable?    A) When performing a spike. B) When making a first team contact. C) When performing a block. D) When serving the ball.   \nSub-Question 2:  Which of these actions are considered violations when performing a service in volleyball?    A) The server steps on the end line before the ball is hit. B) The ball is served underhand. C) The server tosses the ball into the air and lets it drop without hitting it. D) The server hits the ball with two hands.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "170920f863fe54c1bd6e039be520fa8048bec3fc617232a9bf6ffbba9f5a3bd5",
    "id": "bbeh:sportqa:086",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:   How does the process of executing an effective Serve Transition Play in a volleyball game typically unfold?     A) Server executes a powerful serve, team immediately sets up a block, players rotate to fill the back row B) Server delivers a strategic serve, team immediately sets up for defense, setter prepares for second touch C) Server executes a floating serve, team sets up a block, setter prepares for the first touch D) Server delivers a jump serve, team immediately sets up for offense, players rotate to fill the front row   \nSub-Question 1:   How does the server's choice of serve type influence the team's offensive strategy in Serve Transition Play?    A) A powerful serve forces the opponent's pass to be off-target, allowing the team to set up a quick offense B) A jump serve increases the chance of a service error, prompting the team to prepare for defense C) A floating serve can disrupt the opponent's reception, setting up an opportunity for a quick attack D) A strategic serve aims to target weak receivers, making it easier for the team to transition to offense   \nSub-Question 2:   How does the team's immediate setup after the serve influence the efficiency of their Serve Transition Play?    A) Setting up a block can discourage the opponent's attack, giving the team control of the rally B) Setting up for offense can catch the opponent off-guard, potentially earning the team a point C) Setting up for defense allows the team to counterattack effectively after receiving the opponent's return D) Rotating players to fill the front row can provide a strong front line defense, restricting the opponent's attack options\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "c010241b7a0b9214c246c848fcd0fff3eb529659a9ee18f4ca0e75c64dc1d651",
    "id": "bbeh:sportqa:098",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  What was the resolution method used by the mediator in the conflict between Team A and Team B after Team A's coach was red-carded for offensive behavior towards the referee, considering that the referee had previously officiated a match where Team B's player was controversially sent off?  A) The mediator proposed a rematch B) The mediator recommended disciplinary action against the coach C) The mediator suggested a neutral referee for future matches D) The mediator decided to disqualify Team A\nSub-Question 1:  What was the reason for the red card given to Team A's coach?  A) Offensive behavior towards the referee B) Violating the sideline rules C) Instructing the players to play unfairly D) Disrespecting the opposing team's coach\nSub-Question 2:  In the previous match officiated by the referee, what was the controversy surrounding the sending off of Team B's player?  A) The player was wrongly accused of a foul B) The player was sent off without any valid reason C) The player received a red card instead of a yellow card D) The player was sent off for an action that usually doesn't warrant a red card\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "3526deb0e01fe734e8635a4832d2e569d560a6ccf18ab52ae5fdc1408aeb5af0",
    "id": "bbeh:sportqa:102",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  In a football match, a contentious decision is made where the referee awards a penalty to Team A. The referee then consults the Video Assistant Referee (VAR) for a review. If the VAR concludes that the ball first made contact with the defender's chest before hitting his arm in the penalty area, and the defender's arm was not in an unnatural position, how would the referee's decision likely change based on the VAR review? A) The referee would still award the penalty to Team A. B) The referee would rescind the penalty and award a free-kick to Team A. C) The referee would rescind the penalty and restart with a drop ball. D) The referee would rescind the penalty and award a goal kick to Team B.\nSub-Question 1: In football rules, if a ball touches a player's chest before hitting his arm in the penalty area, and the arm is not in an unnatural position, is it considered a handball? A) Yes, always. B) No, never. C) Depends on the referee's interpretation. D) Only if the player intentionally moves his arm towards the ball.\nSub-Question 2: What is the usual course of action taken by the referee if the VAR review shows that a penalty decision was incorrect? A) The referee would still award the penalty. B) The referee would rescind the penalty and award a free-kick. C) The referee would rescind the penalty and restart with a drop ball. D) The referee would rescind the penalty and award a goal kick.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "f34641506b62fdc574d3983a7a2a06071a1c2409dce30b8e769699d726aa156b",
    "id": "bbeh:sportqa:103",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  In a high-intensity football match, when a player is moving fast and suddenly stops, what is the primary physiological response and how does it affect the player's performance?  A) The heart rate decreases and it improves the player's agility. B) The heart rate increases and it improves the player's endurance. C) The heart rate decreases and it reduces the player's agility. D) The heart rate increases and it reduces the player's endurance.\nSub-Question 1: What is the immediate effect on a player's heart rate during fast movement and sudden stopping in a high-intensity football match?  A) The heart rate decreases significantly. B) The heart rate increases significantly. C) The heart rate remains constant. D) The heart rate fluctuates irregularly.\nSub-Question 2: How does an increase in heart rate during fast movement and sudden stopping affect a player's performance in a high-intensity football match?  A) It improves the player's agility. B) It improves the player's endurance. C) It reduces the player's agility. D) It reduces the player's endurance.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "8aa3d824a849977ee288edef14624c2ae58ea5987693e9320049fe36c09e23de",
    "id": "bbeh:sportqa:110",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why would a throw-in occur in a football match when the ball passes over the touchline?  A) The ball was last touched by an opposing player. B) The ball was last touched by the same team player. C) The ball passed over the goal line without a goal being scored. D) The referee called for a foul.\nSub-Question 1: Why is it significant that the ball was last touched by an opposing player before it crosses the touchline?  A) It determines which team will take the throw-in. B) It determines if a goal has been scored. C) It determines if a penalty kick should be awarded. D) It determines if the game should be paused.\nSub-Question 2: Why is it not considered a throw-in when the ball passes over the goal line?  A) A goal kick or corner kick is awarded instead. B) The game is paused for a water break. C) The referee awards a penalty kick. D) The game is considered over.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "d9de440e2d9d7a1f149eec8abec33508d4460123f330bb3487b76267317de236",
    "id": "bbeh:sportqa:112",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  During a kick-off in a football match, if a team A's striker is at the center circle of the pitch, the team's goalkeeper is at the goal post, and the team's defenders are in their own half of the field, where should team A's midfielders be positioned considering the rules of football during a kick-off?   A) In the opponent's half of the field B) In their own half of the field C) At the center circle of the pitch D) At the goal post\nSub-Question 1:  According to football rules, where should all players be positioned during a kick-off?  A) In their own half of the field B) In the opponent's half of the field C) Anywhere on the pitch D) In the center circle of the pitch\nSub-Question 2:  Where is the center circle of the pitch located in relation to the midfielders' position during a kick-off?  A) It is in their own half of the field B) It is in the opponent's half of the field C) It is at the goal post D) It is the boundary between their own half and the opponent's half of the field\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "5898c7ef92eb78cb4231a59aeed2866ae15a56fca90ff0e4f647c3182d910836",
    "id": "bbeh:sportqa:115",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  Which of the following best describes the most effective strategy for a football referee to avoid collisions or obstructions with players, the ball, or other referees, considering both the positioning principles in football refereeing and the dynamics of player movements?  A) Always stay at the center of the field B) Follow the ball closely at all times C) Position themselves such that they can observe the game action without interfering with player movements D) Stay close to the goalpost throughout the game\nSub-Question 1:  Which of the following is a key principle in football refereeing related to referee's positioning on the field?  A) Referees should always stay in one fixed position  B) Referees should always be in close proximity to the ball C) Referees should position themselves to best anticipate play and avoid interfering with player movements D) Referees should always be near the goalpost to monitor goal attempts\nSub-Question 2:  Considering the dynamics of player movements during a football match, which of the following strategies would help a referee avoid collisions or obstructions?  A) Always staying at the center of the field B) Constantly running after the ball C) Keeping a safe distance from players and anticipating the direction of play D) Always staying near the goalpost\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "9f032e5d44155a25f7921d47396f94f5e4b100874ab38ec60846d3d233d08880",
    "id": "bbeh:sportqa:127",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why are there different procedures followed by football players and officials after a goal is scored in a football match? A) To ensure fair play and adherence to the rules of the game B) To prepare for the next phase of the game C) To celebrate the goal D) To dispute the goal\nSub-Question 1: Why do the referees confirm with the linesman and check the VAR system after a goal is scored? A) To ensure there was no offside during the goal-scoring opportunity  B) To check if there was a foul committed by the goal-scoring team C) To verify if the ball crossed the goal line completely D) To check if there was any time violation\nSub-Question 2: Why do the players of the team that scored often regroup in their half after celebrating the goal? A) To discuss the tactics for the next phase of the game B) To rest and regain energy before the game restarts C) To prevent the opposing team from quickly restarting the game D) To celebrate with the substitutes and the coach\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "29472e5dc3c6a10a10c0cf4311f31574023c3ce908075e9c197ae7404aaec181",
    "id": "bbeh:sportqa:128",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  Which of the following strategies are crucial for a football player to effectively adjust their position quickly based on the flow of the game?  A) Anticipating the opponent's next move  B) Understanding the current game situation  C) Memorizing the coach’s pre-game strategy D) Ignoring the opponent's movements\nSub-Question 1:  Which of these factors are critical for a player to anticipate the opponent's next move?  A) Studying the opponent's previous games  B) Noticing the opponent's current body language  C) Understanding the rules of the game  D) Focusing on their own game plan\nSub-Question 2:  In understanding the current game situation, which of the following elements should a player consider? A) The current scoreline  B) The time left in the game C) The weather conditions  D) The positioning of the other players on the field\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "04e7bffd682f30d01fd91e19f62d37d3cf87c592c0a3309b88cc7365a517106b",
    "id": "bbeh:sportqa:130",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  Which of the following scenarios can result in a player receiving a yellow card during a football match?  A) A player who delays the restart of play by kicking the ball away after a stoppage. B) A player who uses offensive, insulting or abusive language and/or gestures towards the referee. C) A player who enters the pitch during the match without the referee's permission. D) A player who celebrates a goal by removing their shirt.\nSub-Question 1:  Which of these actions are considered unsporting behavior that can result in a yellow card during a football match?  A) A player who attempts to deceive the referee by feigning injury. B) A player who commits a handball offense to prevent an opponent from gaining possession. C) A player who celebrates a goal by making a heart shape with their hands. D) A player who argues with a teammate over who should take a penalty kick.\nSub-Question 2:  In which of these situations can a player be shown a yellow card for failing to respect the required distance during a corner kick, free kick, or throw-in?  A) A player who stands closer than 10 yards from the ball during a free kick. B) A player who stands closer than 2 yards from the player taking a throw-in. C) A player who stands directly in front of the player taking a corner kick without maintaining the required distance. D) A player who asks the referee to move the wall back during a free kick.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "74f1b203f9b7c9ad6ea9604d75d21538243f97aa21414b9452bb06b7dab14251",
    "id": "bbeh:sportqa:131",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following statements accurately reflect the specifications and requirements for a regulation-size football used in professional matches according to FIFA standards? A) The ball must have a circumference of 68-70 cm and a weight of 410-450 g. B) The ball should be spherical in shape, made of suitable material, and not pose a danger to the players. C) The ball should be inflated to an air pressure of between 0.6 and 1.1 atmospheres at sea level. D) The ball should be inflated to an air pressure of between 0.8 and 1.3 atmospheres at sea level. Sub-Question 1: According to FIFA standards, which of the following materials are suitable for making a regulation-size football used in professional matches? A) Leather B) Other materials approved by FIFA C) Plastic D) Rubber Sub-Question 2: According to FIFA standards, what are the acceptable levels of air pressure for a regulation-size football used in professional matches at sea level? A) Between 0.6 and 1.1 atmospheres B) Between 0.8 and 1.3 atmospheres  C) Between 0.5 and 1.0 atmospheres D) Between 0.7 and 1.2 atmospheres\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "32a907d7fc97d710affcc29d6cb0540dbe0b0b51108404fa3ed65bafd6da805b",
    "id": "bbeh:sportqa:134",
    "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why would a throw-in be awarded in a football match?   A) The ball has completely crossed the touchline, last touched by an opposing player. B) The ball has completely crossed the touchline, last touched by a player from the same team. C) A player has committed a foul. D) The ball has completely crossed the goal line, last touched by an opposing player.\nSub-Question 1: Why would the ball crossing the touchline result in a throw-in?  A) The ball is considered out of play when it has crossed the touchline. B) The ball has crossed the touchline, but it was last touched by the goalkeeper. C) The ball has crossed the touchline, but it was a deliberate pass back to the goalkeeper. D) The ball is considered in play when it has crossed the touchline.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "118a288904e51e18ad8178b2b0977dc51593db383dcf85e1ddb480f365f96747",
    "id": "bbeh:sportqa:135",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a professional football match, what are the possible scenarios that would prompt a coach to utilize a substitute player, considering the team's strategic needs and the substitute's specific skills?  A) The starting player has been injured and can no longer play. B) The coach wants to implement a new strategy that better suits the substitute's skills. C) The substitute player has a personal vendetta against the opposing team. D) The starting player is underperforming and the coach believes the substitute can perform better.\nSub-Question 1: What factors might influence a coach's decision to replace a starting player with a substitute in a professional football match?  A) The starting player's current performance level. B) The coach's personal relationship with the substitute player. C) The substitute player's specific skills and how they align with the team's current strategy. D) The physical condition and stamina of the starting player.\nSub-Question 2: In what situations might a substitute player's specific skills be particularly beneficial in a professional football match?  A) When the team needs to score a goal and the substitute is known for their shooting accuracy. B) When the team is playing defensively and the substitute is renowned for their tackling skills. C) If the substitute has a strong personal motivation to win against the opposing team. D) When the team is leading and the substitute is good at maintaining possession and managing time.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "bcdb9dbe4d9c01a9f58d0a8308c4e191bb0724280aec32e68eadda4fe885491c",
    "id": "bbeh:sportqa:144",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  What are the critical considerations and requirements for maintaining a professional football field to ensure it meets international standards and provides optimal playing conditions?  A) Regular mowing and watering B) Use of synthetic turf and no maintenance required C) Regular inspection and repair of damaged areas D) Applying pesticides and herbicides only when necessary\nSub-Question 1:  What are the potential consequences of not maintaining a professional football field properly?  A) Sudden closure due to safety risks B) Players may get injured due to uneven surface or hidden holes C) The field may not meet international standards for professional games D) The field's lifespan may decrease\nSub-Question 2:  What could be the implications of overusing pesticides and herbicides on a professional football field?  A) It may lead to the death of natural grass, affecting the field's quality B) It could pose health risks to the players C) It may cause environmental issues due to runoff into local water supplies D) It may not have any impact if applied correctly\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "d8d0c1d85c863bca6b1a5be066be5584ece7f84e2041aece20bbff531268d038",
    "id": "bbeh:sportqa:146",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What are the possible outcomes if a football game is delayed due to severe weather conditions like a lightning storm, and what are the steps taken to ensure the safety of the players and spectators?  A) The game is rescheduled to a later date and safety measures are implemented immediately to evacuate the stadium. B) The game is cancelled without any further rescheduling and the stadium is immediately cleared. C) The game continues after the weather conditions improve and safety checks are conducted before resuming. D) The game is paused, and the decision to continue or reschedule is made based on the weather forecast.\nSub-Question 1: What are the safety measures that need to be implemented in case of a weather-related delay during a football game?  A) Ensuring that all the players, officials, and spectators are moved to a safe location. B) Checking the field for any potential hazards caused by the weather. C) Coordinating with local authorities and weather forecasting agencies for updates. D) Canceling any further events scheduled in the stadium for the day.\nSub-Question 2: How is the decision to continue, delay, or cancel the game made in the event of a weather-related interruption?  A) The decision is made by the referee based on the current weather conditions. B) The decision is made based on the weather forecast and the safety of the players and spectators. C) The decision is made by the team captains after discussing with their respective teams. D) The decision is made by the football association or the organizing body of the game.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "10ed8cd8b26ec79fb974a7efa07f3240d8fcb442df9bac7b11493e1ae2224adf",
    "id": "bbeh:sportqa:164",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the material and manufacturing process of a table tennis ball influence its performance characteristics and suitability for different levels of play?  A) They do not influence the performance and suitability at all. B) The material determines the weight and bounce of the ball, while the manufacturing process ensures its roundness and durability, affecting its performance and suitability for different levels of play. C) The material and manufacturing process only influence the color of the ball. D) The material and manufacturing process influence the cost of the ball, but not its performance or suitability for different levels of play.\nSub-Question 1: How does the material of a table tennis ball influence its weight and bounce?  A) The material does not affect the weight and bounce of the ball. B) Harder materials result in a heavier and less bouncy ball. C) Materials like ABS result in a light and bouncy ball. D) The material only affects the color of the ball, not its weight or bounce.\nSub-Question 2: How does the manufacturing process of a table tennis ball ensure its roundness and durability?  A) The manufacturing process does  affect the roundness and durability of the ball. B) The balls are machine-pressed to ensure roundness. C) The balls are hand-made, so their roundness and durability depend on the skill of the craftsman. D) The manufacturing process only affects the cost of the ball, not its roundness or durability.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "21dc2c3c6630a9a18747cff5bda04d45868a09e8e3e9af5e8c2cae9a935c6aac",
    "id": "bbeh:sportqa:165",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following are responsibilities of a table tennis umpire during a match? A) Ensuring players follow the rules and regulations of the sport. B) Checking the suitability of the equipment used. C) Maintaining the score of the match. D) Advising players on their technique and strategies.\nSub-Question 1: Which of the following are considered as part of the rules and regulations that a table tennis official ensures are followed? A) Players must hit the ball after it bounces on their side of the table. B) Players must not touch the net with their rackets. C) Players can switch sides of the table during the match as they want. D) Players can only take one timeout.\nSub-Question 2: What are some of the equipment checks a table tennis official might perform before a match? A) Ensuring the ball is of the correct size and weight. B) Checking if the net is at the correct height. C) Making sure the rackets are regulation material. D) Confirming if the players are wearing proper sports attire.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "5f8d4b7d5e9c5b992cf7edee96ef82b297cbd4108f6d0c43b15b85b9b36827d2",
    "id": "bbeh:sportqa:171",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the Continuous Play rule in tennis, which dictates that play must be continuous, apply in a scenario where player A, after winning a point, requests a bathroom break, and following that, player B requests a medical timeout due to a sudden cramp?  A) Both players' requests are granted with no penalty. B) Player A's request is granted but player B's request leads to a penalty. C) Player A's request leads to a penalty and player B's request depends on the situation. D) Both players' requests lead to penalties.\nSub-Question 1: According to the Continuous Play rule in tennis, how is a player's request for a bathroom break regulated after winning a point?  A) A player is allowed to take a bathroom break after winning a point without any restrictions. B) A player is allowed to take a bathroom break after winning a point but not consecutively in two games. C) A player is not allowed to take a bathroom break after winning a point. D) A player is allowed to take a bathroom break after winning a point but only once in a match.\nSub-Question 2: In the context of the Continuous Play rule in tennis, how is a sudden medical timeout request handled?  A) A sudden medical timeout request is always granted without any penalties. B) A sudden medical timeout request can be granted but may lead to a penalty if the player has already taken a bathroom break in the same game. C) A sudden medical timeout request can be granted but may lead to a penalty if the player has already taken a bathroom break in the previous game. D) A sudden medical timeout request is not  guaranteed and may leads to a penalty.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "e85a7ce5f0299bdbb8513c9dda4b074a934334783ba84af1d247a5cc5d16118e",
    "id": "bbeh:sportqa:174",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  During a high-stakes Grand Slam tennis match, Player A was facing multiple distractions. First, there was a sudden noise from a helicopter hovering above the stadium, and shortly after, a group of enthusiastic fans started cheering excessively. Given that Player A had previously attended a sports psychology seminar on handling distractions, what techniques would they likely employ in such a situation?  A) Ignore the distractions and focus on the game B) Use the distractions as a motivator C) Use a combination of mental imagery and positive self-talk D) Ask for the match to be postponed\nSub-Question 1: What technique might Player A use to cope with the noise from the helicopter?  A) Positive self-talk B) Mental imagery C) Meditation D) Ignoring the noise \nSub-Question 2: How might Player A handle the excessive cheering from the fans, based on the sports psychology seminar?  A) By using it as a motivator B) By asking the fans to quiet down C) By using mental imagery D) By employing positive self-talk\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "c8e3c64f43022b23fa6ec96c19d4586c21c36fd32514b319568314b2c4ff187c",
    "id": "bbeh:sportqa:175",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  How might a professional tennis player effectively manage distractions during a critical match, considering both internal and external factors?  A) By ignoring the audience and focusing solely on the game. B) By adopting a consistent pre-serve routine and using mental imagery techniques. C) By arguing with the referee about questionable decisions. D) By taking long breaks between points to regain focus.\nSub-Question 1:  What are the common internal distractions a tennis player might experience during a match?  A) Sudden change in weather conditions. B) Personal stress or anxiety. C) Noise from the audience. D) Opponent's aggressive game style.\nSub-Question 2:  What are the effective techniques a tennis player can use to manage external distractions during a match?  A) Arguing with the audience to maintain silence. B) Changing the game plan frequently. C) Using mental imagery techniques and focusing on the next point. D) Leaving the court for a while to regain composure.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "bb412fe2e6c0868c2b3e24c5e8c93906a74e875919d1ed4f1479000abc5a9f34",
    "id": "bbeh:sportqa:176",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How would the service rule be affected if a player, during his second serve in a singles match, throws the ball into the air for service, but decides not to hit it and catches it instead, after previously committing a foot fault during the first service?  A) The player loses a point because two faults. B) The player gets another chance to serve as he didn't swing his racket. C) The player loses the service game due to double faults in a row. D) The player is given a warning for time violation.\nSub-Question 1: What happens when a player commits a foot fault during the first service?  A) The player loses a point. B) The service is considered a fault, and the player gets a second service. C) The player is disqualified from the match. D) The player is given a warning for unsportsmanlike conduct.\nSub-Question 2: What is the rule if a player throws the ball into the air for service but decides not to hit it?  A) The service is considered a fault. B) The service is considered a let, and the player gets another service. C) The player loses a point. D) The player is given a warning for time violation.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "83b11ea70f3f158f6849944e0f75716058805a834cc00963dcd3e6b45a8864fb",
    "id": "bbeh:sportqa:183",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the primary technology used in the Hawk-Eye electronic review system in tennis, and what is its main function during a match?  A) Laser technology; To measure ball speed B) Infrared technology; To track player movements C) Triangulation technology; To determine the bounce point of the ball D) Ultrasonic technology; To detect racket swings\nSub-Question 1: What is the primary technology used in the Hawk-Eye electronic review system in tennis?  A) Laser technology B) Infrared technology C) Triangulation technology D) Ultrasonic technology\nSub-Question 2: What is the main function of the Hawk-Eye electronic review system during a tennis match?  A) To measure ball speed B) To track player movements C) To determine the bounce point of the ball D) To detect racket swings\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "a7804faa01c101964a371c1fce822f2b15619e9ffebdb4b56b03bc161b50606a",
    "id": "bbeh:sportqa:185",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following actions should a tennis player take if they encounter an injury during a match according to standard safety protocols?  A) Continue the match regardless B) Immediately stop playing and seek medical attention C) Try to treat the injury themselves D) Ignore the injury and play more cautiously\nSub-Question 1: According to standard tennis safety protocols, which of the following should a player do before a match to minimize the risk of injury?  A) Stretch and warm up properly B) Ignore any pre-existing injuries C) Consume large amounts of caffeine for energy D) Skip any physical warm-ups to save energy\nSub-Question 2: Which of the following is a recommended safety protocol for tennis players to follow after a match has concluded?  A) Immediately sit down and rest B) Leave the tennis court without any cool-down activities C) Consume alcohol to celebrate the victory D) Gradually cool down and hydrate\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "f5bd756b49946f5f8093d9963c4c1c83916d6715fabd91e08b3d13e98e18e1e0",
    "id": "bbeh:sportqa:186",
    "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  What evidence supports that Player X was injured?  A) Player X asked for a medical timeout. B) Player X was seen limping. C) Player X's performance was extremely subpar. D) Player X was seen wearing a knee brace.\nSub-Question 1:  What will happen if the medical timeout for Player X is approved?  A) The medical team has three minutes to provide emergency treatment to the player B) The medical team can treat cramps caused by physical insufficiency C) Medical teams are given five minutes to provide emergency treatment D) If cramps are caused by heatstroke, the medical team can treat them\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "2335bcd4d62aec708ffdeb5dbbfb0114b4766f5982b9b44b9da0995ef84841ac",
    "id": "bbeh:sportqa:190",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a Grand Slam tennis final, the player is leading in the 5th set. Considering the player's fatigue level and the opponent's aggressive play, which decisions would the player likely make?  A) To play defensively and save energy B) To concentrate on their service games and try to hold serve C) To play aggressively and try to break the opponent's service game D) To take a medical timeout to recover \nSub-Question 1: Why would the player decide to play defensively and save energy in the 5th set of a Grand Slam tennis final?  A) To prepare for the match point B) To minimize the risk of injuries C) To throw the opponent off their game plan D) To prepare for the 6th set\nSub-Question 2: Why would the player decide to concentrate on their service games and try to hold serve in the 5th set of a Grand Slam tennis final?  A) To maintain the lead in the game B) To put pressure on the opponent to hold their serve C) To control the tempo of the match D) To avoid long rallies and save energy\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "439a98cec0bcc42c1754a20384b775853498f6130b5e2369be7545a0078a2d97",
    "id": "bbeh:sportqa:193",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What are the two primary responsibilities of a tennis coach during a match, according to the International Tennis Federation (ITF) rules?  A) To provide tactical advice to the player B) To provide physical assistance to the player C) To provide mental support to the player D) To provide medical assistance to the player\nSub-Question 1: According to ITF rules, what are the two aspects a tennis coach cannot intervene in during a match?  A) Player's tactical decisions B) Player's choice of racket C) Player's medical timeout D) Player's hydration and nutrition\nSub-Question 2: In which scenario(s), under ITF rules, can a coach provide tactical advice to the player?  A) During a break in play B) When the player is serving C) When the player requests for it D) After the match is over\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "5e39ea1733ebb216e9186ca59c1cdcc263c626dd275c472e6102bd673e6293a9",
    "id": "bbeh:sportqa:195",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question:  During a professional tennis match, what factors could lead the umpire to make a ball call that might be contested by a player?  A) The ball bounced twice before the player could return it. B) The ball touched the net but still landed in the opponent's court. C) The ball landed on the line marking the boundary of the court. D) The ball was hit outside the court but was blown back in by the wind.\nSub-Question 1:  What are the possible reasons a player might contest a ball call made by the umpire? A) The player believes the ball was 'in' while the umpire called it 'out'. B) The player’s coach was not ready when the ball was served. C) The player felt the umpire was favoring the opponent. D) The player thinks that the umpire's view was obstructed.\nSub-Question 2:  In a professional tennis match, what are the tools or technologies that can be used to verify a contested ball call? A) Instant replay. B) Player's personal judgment. C) Hawk-Eye technology. D) Spectator's opinion.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "96c43203f2fd3d45bcdeb4e321cfca6dc6924ff0c0d9e8817364e15b3e541040",
    "id": "bbeh:sportqa:198",
    "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What are the correct procedures during a tennis service in accordance with the official rules, in the scenario where the server's first service attempt hits the net but lands in the correct box and the second service attempt is a fault?  A) The server gets another chance to serve because the first service was a let. B) The server loses the point because the second service was a fault. C) The server has to re-serve without any penalties. D) The server gets to serve again only if the first service was a let and the second service was not a fault.\nSub-Question 1: What are the correct procedures when the first service hits the net but lands in the correct box?  A) The server gets another chance to serve. B) The server loses the point. C) The server has to re-serve without any penalties. D) The server gets to serve again only if the second service is not a fault.\nSub-Question 2: What are the correct procedures when the second service attempt is a fault?  A) The server gets another chance to serve. B) The server loses the point. C) The server has to re-serve without any penalties. D) The server gets to serve again only if the first service was a let.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "sportqa"
  },
  {
    "dataset": "bbeh",
    "family": "a9e1203ee15b79f0cdecc536784b7e32131538330b19667557838b127e5f4507",
    "id": "bbeh:temporal_sequence:005",
    "request": "Nancy, Victoria, Sarah, Yolanda and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 9:50, from 10:35 to 10:55\nTuesday: Booked at the following times: from 9:55 to 10:25, from 11:55 to 13:25\nWednesday: Booked at the following times: from 9:05 to 9:20, from 9:40 to 10:20\nThursday: Booked at the following times: from 9:45 to 10:30, from 10:55 to 11:00, from 11:40 to 13:10, from 14:05 to 14:20\nFriday: Free only at the following times: anytime before 9:40, from 10:30 to 11:55, from 13:15 to 13:55, from 14:10 to 17:00\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 10:30 to 10:30, from 11:20 to 12:25, from 13:40 to 14:30, from 16:00 to 17:00\nTuesday: Booked at the following times: from 9:15 to 10:20, from 11:25 to 11:35\nWednesday: Booked at the following times: from 9:40 to 11:05, from 12:00 to 12:20, from 12:25 to 12:45, from 13:45 to 14:40\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:45 to 12:05, anytime after 13:35\nFriday: Booked at the following times: from 10:00 to 11:25, from 11:40 to 11:55, from 13:20 to 13:50, from 14:20 to 15:10\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:25 to 11:45, from 11:50 to 12:00, from 12:05 to 13:00, from 13:30 to 17:00\nTuesday: Booked at the following times: from 10:30 to 10:45, from 11:50 to 12:20, from 13:10 to 13:20\nWednesday: Free only at the following times: anytime before 9:20, from 10:00 to 10:35, from 11:00 to 17:00\nThursday: Free only at the following times: anytime before 10:00, from 11:05 to 11:35, anytime after 12:05\nFriday: Booked at the following times: from 10:20 to 11:00, from 12:05 to 12:35\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:15, from 10:10 to 11:00, from 11:40 to 13:00, from 13:35 to 14:50, from 16:20 to 17:00\nTuesday: Free only at the following times: anytime before 10:30, from 10:35 to 12:05, anytime after 12:20\nWednesday: Free only at the following times: anytime before 10:05, from 10:20 to 10:25, from 10:40 to 11:30, anytime after 12:20\nThursday: Booked at the following times: from 9:45 to 10:00, from 10:35 to 11:20\nFriday: Free only at the following times: from 9:00 to 9:10, from 9:25 to 10:25, from 11:40 to 12:00, from 12:50 to 13:25, from 13:45 to 17:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 10:55, anytime after 11:00\nTuesday: Free only at the following times: from 9:00 to 10:15, from 11:40 to 13:05, from 13:40 to 14:45, from 15:20 to 17:00\nWednesday: Free only at the following times: anytime before 9:15, from 10:05 to 10:30, from 11:15 to 17:00\nThursday: Booked at the following times: from 10:10 to 11:20, from 11:50 to 13:05\nFriday: Booked at the following times: from 10:15 to 10:45, from 11:55 to 12:20, from 12:50 to 14:20\n\n\nNancy prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nVictoria is flexible to miss (at most) 10 minutes of the meeting\nSarah can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nYolanda is fine to stay until 6pm to accommodate the meeting\nRachel asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "7c2bb5528f8cb413844b151f26a182c8e25c1c6a274edf4511e6334e1a618dd2",
    "id": "bbeh:temporal_sequence:013",
    "request": "Victoria, Alice, Emma, Sophia, Olivia and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:35 to 11:25, from 12:40 to 12:45, from 13:35 to 14:55, anytime after 15:15\nTuesday: Booked at the following times: from 9:45 to 11:15, from 11:15 to 11:35, from 11:40 to 12:05\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:30 to 11:30, from 12:10 to 13:10, from 13:45 to 14:15, anytime after 15:05\nThursday: Booked at the following times: from 9:50 to 10:15, from 10:15 to 10:55, from 11:15 to 11:55\nFriday: Free only at the following times: anytime before 10:20, from 11:50 to 12:50, from 13:05 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:20 to 12:25, from 13:30 to 13:40, from 14:10 to 17:00\nTuesday: Free only at the following times: from 9:35 to 11:05, from 11:25 to 11:50, from 12:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:30, from 10:35 to 11:55, anytime after 12:00\nThursday: Booked at the following times: anytime before 9:05, from 9:25 to 10:05\nFriday: Free only at the following times: from 9:00 to 9:40, from 10:45 to 11:15, from 11:25 to 11:35, from 12:20 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:45, from 11:45 to 12:35\nTuesday: Booked at the following times: from 10:20 to 10:30, from 11:55 to 12:45, from 13:20 to 14:45, from 14:55 to 16:05\nWednesday: Free only at the following times: anytime before 10:15, from 11:40 to 13:10, from 14:40 to 15:50, anytime after 16:35\nThursday: Free only at the following times: anytime before 10:10, from 10:45 to 12:15, from 12:30 to 13:55, from 15:20 to 15:25, from 15:30 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:05, from 11:10 to 12:25, anytime after 12:55\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:55, from 12:25 to 12:55\nTuesday: Booked at the following times: from 10:30 to 10:40, from 12:10 to 12:25, from 13:05 to 14:10\nWednesday: Booked at the following times: from 9:45 to 10:15, from 10:15 to 10:40\nThursday: Free only at the following times: from 9:00 to 10:25, from 11:00 to 11:55, from 12:00 to 12:20, anytime after 13:20\nFriday: Free only at the following times: anytime before 10:00, from 10:15 to 11:15, from 12:00 to 12:05, from 12:45 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:20, from 11:50 to 12:15\nTuesday: Booked at the following times: from 9:35 to 10:55, from 11:00 to 11:55, from 12:55 to 14:00\nWednesday: Booked at the following times: from 9:35 to 9:45, from 10:40 to 11:05\nThursday: Booked at the following times: from 10:25 to 10:40, from 12:05 to 12:20, from 13:35 to 14:55\nFriday: Booked at the following times: from 10:15 to 10:40, from 12:00 to 12:25, from 13:35 to 14:05\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:35, from 11:40 to 12:25, from 13:45 to 13:50, from 15:00 to 15:25\nTuesday: Free only at the following times: anytime before 10:15, from 10:25 to 10:45, from 11:45 to 17:00\nWednesday: Free only at the following times: anytime before 9:15, from 9:50 to 10:55, from 12:10 to 12:55, from 13:40 to 15:00, from 15:15 to 17:00\nThursday: Free only at the following times: anytime before 10:10, from 11:15 to 12:15, anytime after 12:45\nFriday: Booked at the following times: from 9:55 to 10:05, from 10:05 to 10:45\n\n\nVictoria can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nAlice needs a break for lunch on Wednesday from 12:30 to 1:00\nEmma prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nSophia is flexible to miss (at most) 10 minutes of the meeting\nOlivia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "335e690ff1b5f150cc784230ab7fe6fd4ecd13e710bb0a32957090cf753c21b6",
    "id": "bbeh:temporal_sequence:017",
    "request": "Yolanda, Rachel, Ava and Sophia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:30 to 11:35, from 12:15 to 13:05, from 13:10 to 13:10, anytime after 14:25\nTuesday: Booked at the following times: from 10:00 to 11:00, from 11:35 to 12:40, from 13:35 to 13:55, from 15:00 to 15:45\nWednesday: Booked at the following times: from 9:55 to 10:05, from 11:00 to 11:25, from 11:35 to 12:30\nThursday: Free only at the following times: anytime before 10:20, from 10:55 to 11:55, from 12:00 to 12:15, from 12:45 to 13:05, anytime after 14:05\nFriday: Free only at the following times: anytime before 9:30, from 9:45 to 11:00, anytime after 11:35\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:25, from 10:25 to 11:25\nTuesday: Free only at the following times: anytime before 9:05, from 9:20 to 10:35, from 11:00 to 12:30, from 14:00 to 15:10, anytime after 15:35\nWednesday: Free only at the following times: from 9:00 to 10:15, from 11:35 to 12:15, from 13:35 to 14:05, anytime after 15:00\nThursday: Free only at the following times: anytime before 10:05, from 11:25 to 11:35, from 11:45 to 13:15, from 14:35 to 14:45, from 15:50 to 17:00\nFriday: Booked at the following times: from 9:55 to 11:15, from 12:35 to 13:10, from 13:15 to 13:25, from 14:35 to 15:35\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:05, from 11:50 to 12:15, from 12:35 to 12:40\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:45 to 10:30, from 10:35 to 11:25, from 12:55 to 13:55, from 15:00 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 9:30 to 10:35, anytime after 10:45\nThursday: Free only at the following times: anytime before 9:50, from 11:15 to 12:30, from 14:00 to 14:50, from 16:10 to 16:20, from 16:30 to 17:00\nFriday: Booked at the following times: from 10:15 to 10:40, from 11:15 to 12:05\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:40, from 13:10 to 14:30\nTuesday: Booked at the following times: from 9:30 to 9:40, from 10:10 to 10:50, from 11:20 to 11:40\nWednesday: Booked at the following times: anytime before 9:40, from 9:55 to 11:10, from 12:15 to 13:45, from 14:35 to 15:55\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:50 to 11:30, from 12:10 to 12:25, from 13:10 to 14:10, anytime after 15:30\nFriday: Booked at the following times: from 9:10 to 9:35, from 10:10 to 10:45, from 11:05 to 11:55\n\n\nYolanda asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nRachel is in a timezone that is one hour ahead of other participants\nAva can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nSophia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "15c1f4ba0b66e20c8d9f14e54237ab468ad3883dc55cd52fe33d896bd5de56d8",
    "id": "bbeh:temporal_sequence:018",
    "request": "Sophia, Isabella and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:10 to 11:50, from 12:20 to 12:30, from 14:00 to 17:00\nTuesday: Booked at the following times: from 10:30 to 11:55, from 12:35 to 12:50\nWednesday: Free only at the following times: from 9:00 to 10:05, from 10:55 to 11:25, from 12:50 to 13:50, anytime after 14:40\nThursday: Free only at the following times: anytime before 10:05, from 11:10 to 12:30, anytime after 13:50\nFriday: Booked at the following times: anytime before 9:05, from 9:05 to 9:40, from 10:25 to 10:55, from 10:55 to 11:40\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:40, from 11:15 to 12:00\nTuesday: Booked at the following times: from 9:55 to 11:10, from 12:10 to 13:40, from 14:35 to 14:45, from 15:25 to 16:55\nWednesday: Booked at the following times: from 10:05 to 11:25, from 11:50 to 13:00, from 14:05 to 15:05\nThursday: Booked at the following times: from 9:40 to 10:20, from 11:15 to 11:40, from 12:30 to 13:20\nFriday: Booked at the following times: from 9:55 to 11:05, from 12:30 to 13:35, from 14:00 to 15:15\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:10 to 10:40, from 12:10 to 13:40, from 14:55 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:20, from 11:45 to 12:20\nWednesday: Booked at the following times: from 9:35 to 10:45, from 12:00 to 13:00, from 13:20 to 14:25, from 14:35 to 15:55\nThursday: Free only at the following times: anytime before 10:25, from 11:20 to 12:00, anytime after 13:20\nFriday: Free only at the following times: anytime before 9:50, from 10:15 to 11:20, from 12:10 to 12:45, from 12:55 to 14:05, anytime after 14:20\n\n\nSophia feels tired late in the day and requires the meeting to end before 4pm\nIsabella can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nOlivia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "0d37977d1795a438aefb57d5ddd142af7ae35e01712752012f848bf84a426692",
    "id": "bbeh:temporal_sequence:023",
    "request": "Nancy, Emma, Alice and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:35 to 12:00, from 12:55 to 17:00\nTuesday: Free only at the following times: anytime before 9:10, from 10:15 to 10:30, from 10:55 to 12:20, from 13:35 to 14:15, anytime after 14:45\nWednesday: Booked at the following times: from 9:55 to 10:10, from 11:40 to 12:45, from 12:50 to 13:05, from 14:15 to 15:30\nThursday: Free only at the following times: anytime before 9:25, from 10:30 to 10:40, from 11:20 to 12:05, from 12:30 to 13:20, from 14:45 to 17:00\nFriday: Free only at the following times: anytime before 9:40, from 11:10 to 12:25, from 12:55 to 14:05, anytime after 15:35\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 10:25 to 10:35, anytime after 11:15\nTuesday: Booked at the following times: from 10:15 to 11:10, from 11:45 to 11:55\nWednesday: Free only at the following times: from 9:00 to 9:50, from 11:05 to 11:25, from 12:15 to 13:40, from 15:10 to 15:40, from 16:55 to 17:00\nThursday: Booked at the following times: from 9:50 to 10:20, from 10:35 to 11:05\nFriday: Booked at the following times: from 10:10 to 10:30, from 11:45 to 12:25, from 12:25 to 12:55\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:25, from 11:00 to 11:30\nTuesday: Booked at the following times: from 10:10 to 10:55, from 12:10 to 13:30, from 14:35 to 15:10, from 15:55 to 16:10\nWednesday: Booked at the following times: from 9:10 to 9:35, from 9:45 to 10:45, from 11:35 to 11:45\nThursday: Free only at the following times: from 9:20 to 10:20, from 11:05 to 17:00\nFriday: Booked at the following times: from 9:30 to 10:50, from 12:00 to 12:15, from 12:25 to 13:50\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 10:10, from 10:45 to 12:15\nTuesday: Free only at the following times: anytime before 9:45, from 10:40 to 11:10, from 11:15 to 12:15, from 12:40 to 13:25, anytime after 14:35\nWednesday: Booked at the following times: from 9:25 to 10:30, from 11:10 to 11:20, from 12:50 to 13:35, from 13:55 to 14:15\nThursday: Booked at the following times: from 10:00 to 10:05, from 11:10 to 11:55\nFriday: Booked at the following times: from 9:15 to 10:15, from 11:05 to 12:30, from 13:50 to 14:35, from 15:00 to 15:05\n\n\nNancy can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAlice is in a timezone that is one hour ahead of other participants\nYolanda prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "2d3b6ae82af5a7f008479b62b6c10820acbddbc75f5b383b71fb8e09adb54f83",
    "id": "bbeh:temporal_sequence:024",
    "request": "Ava, Karen, Sarah, Lisa, Isabella and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:40, from 12:05 to 12:50, from 14:10 to 15:20, from 16:20 to 16:30\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:00 to 12:15, anytime after 13:20\nWednesday: Booked at the following times: from 10:30 to 11:35, from 12:15 to 12:50, from 14:20 to 15:40, from 15:40 to 16:40\nThursday: Booked at the following times: from 9:20 to 10:10, from 10:25 to 11:00, from 11:10 to 11:40\nFriday: Free only at the following times: from 9:00 to 10:05, from 10:25 to 10:50, from 11:05 to 11:15, anytime after 12:30\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 11:15, anytime after 11:25\nTuesday: Free only at the following times: from 9:00 to 10:25, from 10:40 to 11:15, from 11:30 to 12:25, from 13:50 to 17:00\nWednesday: Booked at the following times: from 9:45 to 10:50, from 11:35 to 12:15, from 12:35 to 12:40, from 13:45 to 14:35\nThursday: Free only at the following times: anytime before 9:50, from 11:20 to 12:10, from 13:10 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:10, from 9:35 to 10:30, from 10:55 to 17:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 9:55 to 10:05, from 11:10 to 12:30, from 13:55 to 13:55, from 14:55 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:20, from 10:45 to 11:00, from 12:15 to 12:45, from 13:40 to 14:25, from 15:40 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 10:05 to 10:10, from 10:45 to 11:25, from 12:45 to 17:00\nThursday: Booked at the following times: from 10:10 to 10:55, from 11:10 to 11:40, from 12:45 to 13:00\nFriday: Booked at the following times: from 9:50 to 10:15, from 11:25 to 12:05, from 12:15 to 13:05\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:20, from 10:55 to 12:20, from 12:30 to 13:10, from 13:40 to 17:00\nTuesday: Booked at the following times: from 10:15 to 10:20, from 11:05 to 11:35\nWednesday: Free only at the following times: from 9:00 to 9:15, from 10:15 to 11:00, from 12:15 to 12:30, from 13:55 to 14:40, from 15:05 to 17:00\nThursday: Booked at the following times: from 9:05 to 9:20, from 9:20 to 10:35, from 11:05 to 11:55\nFriday: Booked at the following times: from 9:35 to 10:10, from 10:45 to 12:00, from 13:15 to 14:05\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 10:55 to 11:45, from 12:20 to 13:35, from 13:40 to 14:30, anytime after 16:00\nTuesday: Free only at the following times: from 9:00 to 9:05, from 9:55 to 9:55, from 11:10 to 12:35, from 14:00 to 15:05, from 16:25 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:45, from 9:55 to 11:20, from 11:30 to 12:35, from 13:55 to 14:35, anytime after 15:10\nThursday: Booked at the following times: from 9:50 to 10:30, from 11:45 to 12:50\nFriday: Free only at the following times: from 10:15 to 10:55, from 12:00 to 13:20, from 14:35 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:05, from 12:25 to 13:50, from 14:20 to 15:05\nTuesday: Free only at the following times: from 9:00 to 9:55, from 10:50 to 11:15, from 12:45 to 13:40, from 14:15 to 17:00\nWednesday: Booked at the following times: from 9:15 to 10:45, from 10:45 to 11:40\nThursday: Booked at the following times: from 9:55 to 11:20, from 12:45 to 13:30\nFriday: Free only at the following times: from 9:00 to 10:10, from 11:20 to 12:35, from 13:55 to 14:10, from 15:15 to 17:00\n\n\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nKaren can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nSarah prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLisa is in a timezone that is one hour ahead of other participants\nIsabella asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "c952c63f7c740a148be16ccec6d816be5f7797c70d865218bacc677594f813e6",
    "id": "bbeh:temporal_sequence:026",
    "request": "Emma, Alice, Isabella and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:35, from 11:50 to 12:35, from 12:45 to 13:55, from 14:15 to 15:35\nTuesday: Booked at the following times: from 10:20 to 10:40, from 12:10 to 12:40, from 12:50 to 12:55\nWednesday: Booked at the following times: from 9:05 to 9:50, from 10:30 to 11:45, from 12:20 to 13:30, from 14:50 to 15:20\nThursday: Free only at the following times: from 9:00 to 10:00, from 10:30 to 11:35, from 12:55 to 13:15, from 13:25 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:35, from 10:40 to 11:25, from 11:55 to 12:40, from 13:00 to 13:25, from 14:05 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 9:35 to 10:30, from 11:55 to 13:00, from 13:15 to 17:00\nTuesday: Booked at the following times: from 9:55 to 10:55, from 11:20 to 11:45\nWednesday: Booked at the following times: from 9:40 to 10:00, from 10:05 to 11:00, from 11:00 to 11:40\nThursday: Free only at the following times: anytime before 9:50, from 10:15 to 10:45, from 10:55 to 11:00, anytime after 11:30\nFriday: Booked at the following times: from 10:15 to 11:10, from 12:10 to 13:25\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 9:25 to 10:00, anytime after 10:15\nTuesday: Free only at the following times: anytime before 10:05, from 10:35 to 11:05, from 12:15 to 17:00\nWednesday: Free only at the following times: from 9:35 to 10:00, from 11:00 to 17:00\nThursday: Booked at the following times: from 9:05 to 10:30, from 11:25 to 12:30\nFriday: Free only at the following times: anytime before 9:55, from 11:00 to 11:00, anytime after 12:05\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:45, from 11:35 to 12:40, from 13:35 to 14:30\nTuesday: Booked at the following times: from 9:50 to 10:05, from 11:25 to 12:50, from 14:15 to 14:30\nWednesday: Booked at the following times: from 10:25 to 11:30, from 11:40 to 12:15, from 12:30 to 13:15, from 13:25 to 14:05\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:40 to 12:10, from 12:30 to 13:10, from 14:40 to 17:00\nFriday: Booked at the following times: from 9:45 to 11:10, from 11:25 to 11:40, from 12:25 to 12:35\n\n\nEmma is flexible to miss the last (at most) 10 minutes of the meeting\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nIsabella prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nNancy asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "41ce61b353e0d5181ad88534f6ad1c317ee677ecb86151bd0ab09fd1c90d12be",
    "id": "bbeh:temporal_sequence:028",
    "request": "Sarah, Zoey and Sophia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 10:15 to 10:40, from 10:45 to 17:00\nTuesday: Booked at the following times: from 9:40 to 10:00, from 11:10 to 11:40, from 12:15 to 12:25, from 13:30 to 14:50\nWednesday: Free only at the following times: from 9:00 to 9:50, from 11:15 to 11:55, from 12:45 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:15, from 11:00 to 12:00, from 13:00 to 17:00\nFriday: Booked at the following times: from 10:10 to 10:20, from 10:25 to 11:05, from 11:05 to 12:35, from 13:45 to 14:20\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:45, from 11:40 to 12:25, from 13:40 to 14:15, from 14:25 to 14:30\nTuesday: Free only at the following times: anytime before 9:50, from 10:20 to 10:25, from 10:55 to 17:00\nWednesday: Booked at the following times: from 10:15 to 10:20, from 10:30 to 11:15, from 11:35 to 11:55\nThursday: Free only at the following times: anytime before 9:10, from 9:25 to 10:15, from 11:45 to 12:40, from 12:50 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:25, from 10:55 to 11:30, anytime after 12:35\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 9:50 to 9:50, from 11:00 to 17:00\nTuesday: Free only at the following times: anytime before 10:05, from 11:35 to 12:55, anytime after 14:00\nWednesday: Booked at the following times: from 9:25 to 10:00, from 10:50 to 10:55, from 11:50 to 12:05, from 13:30 to 13:45\nThursday: Free only at the following times: anytime before 9:50, from 11:05 to 11:55, from 12:15 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:45, from 11:10 to 12:35, anytime after 13:30\n\n\nSarah can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nZoey is fine to stay until 6pm to accommodate the meeting\nSophia can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "cee1049b1777e522745a513d2faf8a26c8a944381804aa74eeed42f028abcfa4",
    "id": "bbeh:temporal_sequence:031",
    "request": "Olivia, Charlotte, Sophia and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 10:50, from 11:50 to 13:05, from 13:20 to 13:35, from 14:15 to 15:00\nTuesday: Booked at the following times: from 10:30 to 11:15, from 12:35 to 13:55, from 14:45 to 15:15, from 15:45 to 16:10\nWednesday: Free only at the following times: anytime before 9:05, from 9:55 to 10:05, anytime after 10:45\nThursday: Free only at the following times: from 9:00 to 9:50, from 11:15 to 11:50, from 12:15 to 13:05, from 13:30 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:30, from 11:05 to 11:35, anytime after 11:45\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 10:25 to 10:45, anytime after 10:50\nTuesday: Free only at the following times: from 9:00 to 10:10, from 11:30 to 12:05, from 12:30 to 13:55, from 14:55 to 15:15, anytime after 15:45\nWednesday: Booked at the following times: from 10:10 to 11:35, from 12:05 to 13:30, from 14:40 to 15:30, from 16:00 to 16:50\nThursday: Booked at the following times: from 9:25 to 10:50, from 11:25 to 11:35\nFriday: Booked at the following times: from 9:50 to 11:00, from 11:55 to 12:35, from 12:50 to 12:55\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 9:45 to 9:55, anytime after 10:35\nTuesday: Booked at the following times: from 10:15 to 11:10, from 12:00 to 12:35, from 12:45 to 13:45, from 14:40 to 15:05\nWednesday: Booked at the following times: from 9:35 to 10:45, from 11:15 to 11:40, from 13:05 to 13:35, from 15:05 to 16:35\nThursday: Free only at the following times: from 9:00 to 10:20, from 11:05 to 11:30, anytime after 12:15\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:30 to 12:00, from 13:25 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:30, from 10:35 to 11:30, from 12:50 to 14:15, from 14:55 to 15:20\nTuesday: Free only at the following times: anytime before 9:30, from 10:20 to 11:05, from 11:15 to 11:25, from 12:10 to 17:00\nWednesday: Free only at the following times: anytime before 10:30, from 10:45 to 11:35, from 12:45 to 12:50, from 14:05 to 14:10, anytime after 14:55\nThursday: Booked at the following times: from 10:25 to 11:05, from 11:25 to 12:15, from 12:45 to 12:50, from 13:55 to 15:00\nFriday: Booked at the following times: from 9:30 to 10:10, from 11:35 to 12:20\n\n\nOlivia is in a timezone that is one hour ahead of other participants\nCharlotte prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nSophia needs a break for lunch on Wednesday from 12:30 to 1:00\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "e24e227ff06a12ab671fccb98353cfa9fb85030d1ffa739711f0f86367d8375f",
    "id": "bbeh:temporal_sequence:037",
    "request": "Sarah, Sophia, Mary and Ava work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:45 to 12:10, from 13:40 to 17:00\nTuesday: Booked at the following times: from 9:05 to 10:20, from 10:35 to 11:40\nWednesday: Free only at the following times: anytime before 10:20, from 11:35 to 12:35, from 13:00 to 17:00\nThursday: Booked at the following times: from 10:15 to 10:55, from 11:05 to 11:10, from 12:20 to 13:30, from 14:35 to 15:15\nFriday: Booked at the following times: from 9:45 to 10:05, from 10:25 to 11:25, from 11:40 to 13:05, from 13:35 to 15:05\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 10:25, from 10:45 to 12:00, from 12:50 to 13:35, from 13:35 to 14:55\nTuesday: Free only at the following times: anytime before 9:25, from 9:50 to 11:05, from 11:20 to 11:35, from 12:55 to 17:00\nWednesday: Free only at the following times: anytime before 10:30, from 11:35 to 12:40, from 13:25 to 13:55, anytime after 14:05\nThursday: Booked at the following times: from 10:30 to 11:00, from 11:40 to 12:55, from 12:55 to 13:20, from 13:45 to 13:55\nFriday: Free only at the following times: anytime before 10:15, from 10:55 to 12:10, from 12:40 to 13:10, from 14:40 to 15:25, anytime after 16:25\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 9:45, from 10:00 to 11:20\nTuesday: Free only at the following times: anytime before 9:05, from 10:00 to 10:30, anytime after 11:10\nWednesday: Booked at the following times: from 10:00 to 11:00, from 11:50 to 12:05\nThursday: Free only at the following times: from 9:00 to 9:50, from 11:00 to 12:00, from 13:30 to 13:40, from 14:30 to 14:40, from 15:30 to 17:00\nFriday: Booked at the following times: from 9:45 to 10:35, from 11:45 to 12:25, from 12:30 to 13:25\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:15, from 11:20 to 12:40, from 13:30 to 14:45, from 15:30 to 15:55\nTuesday: Free only at the following times: anytime before 9:35, from 11:00 to 12:05, from 12:35 to 13:00, from 14:10 to 15:10, anytime after 15:40\nWednesday: Free only at the following times: anytime before 9:50, from 10:10 to 10:35, from 10:55 to 11:00, from 11:15 to 17:00\nThursday: Booked at the following times: from 9:10 to 10:30, from 11:25 to 11:55, from 13:25 to 14:30, from 15:00 to 16:25\nFriday: Booked at the following times: from 10:05 to 10:45, from 10:50 to 11:40, from 12:15 to 12:55\n\n\nSarah is flexible to miss the last (at most) 10 minutes of the meeting\nSophia feels tired late in the day and requires the meeting to end before 4pm\nMary is in a timezone that is one hour ahead of other participants\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "family": "f1c8b0d5caac35c190b4e39c3511e727c19967d773d527444511da59888baeaa",
    "id": "bbeh:temporal_sequence:040",
    "request": "Emma, Nancy, Lisa, Sarah and Ava work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:20, from 10:55 to 12:25, anytime after 13:55\nTuesday: Free only at the following times: from 9:00 to 10:00, from 10:15 to 10:40, from 11:00 to 11:05, from 11:40 to 12:10, from 12:25 to 17:00\nWednesday: Booked at the following times: from 9:10 to 10:25, from 10:30 to 10:40, from 11:50 to 12:35\nThursday: Booked at the following times: from 10:30 to 11:55, from 12:15 to 12:20, from 13:15 to 14:15\nFriday: Free only at the following times: from 9:00 to 10:15, from 11:40 to 12:35, anytime after 13:15\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:50 to 11:10, anytime after 12:05\nTuesday: Booked at the following times: from 10:05 to 11:00, from 11:25 to 12:25, from 13:05 to 14:10\nWednesday: Free only at the following times: anytime before 9:35, from 10:50 to 12:10, from 13:35 to 14:35, from 14:45 to 15:00, from 15:50 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:35, from 11:05 to 11:40, anytime after 12:30\nFriday: Free only at the following times: anytime before 10:00, from 11:30 to 12:40, from 13:45 to 15:15, from 16:45 to 16:55\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:40 to 10:55, from 11:00 to 11:40, from 12:55 to 13:20, from 14:05 to 17:00\nTuesday: Booked at the following times: from 9:30 to 9:50, from 11:20 to 12:20, from 12:45 to 13:10, from 13:25 to 14:40\nWednesday: Free only at the following times: anytime before 9:35, from 10:30 to 10:50, from 11:40 to 12:10, from 13:20 to 13:20, from 13:35 to 17:00\nThursday: Booked at the following times: from 9:15 to 9:55, from 10:00 to 11:20, from 11:20 to 11:35\nFriday: Booked at the following times: from 9:30 to 9:50, from 10:15 to 10:20\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:05, from 10:35 to 12:05, anytime after 12:15\nTuesday: Booked at the following times: from 9:35 to 10:00, from 11:15 to 11:40, from 12:05 to 12:50\nWednesday: Booked at the following times: from 10:05 to 11:10, from 11:30 to 12:50, from 14:15 to 14:20\nThursday: Free only at the following times: anytime before 9:40, from 9:55 to 10:10, from 11:35 to 11:45, from 13:00 to 17:00\nFriday: Booked at the following times: from 9:25 to 10:30, from 10:40 to 11:50\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:15 to 11:25, from 11:45 to 12:20, from 12:35 to 14:05, from 14:50 to 17:00\nTuesday: Booked at the following times: from 9:30 to 10:10, from 10:15 to 10:40\nWednesday: Free only at the following times: anytime before 10:25, from 10:50 to 11:30, from 12:45 to 13:15, from 13:50 to 17:00\nThursday: Free only at the following times: anytime before 9:10, from 9:35 to 10:45, anytime after 11:35\nFriday: Booked at the following times: from 9:15 to 9:50, from 11:20 to 12:00, from 13:05 to 14:25, from 14:30 to 15:10\n\n\nEmma prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nNancy is flexible to miss the last (at most) 10 minutes of the meeting\nLisa is flexible to miss (at most) 10 minutes of the meeting\nSarah feels tired late in the day and requires the meeting to end before 4pm\nAva can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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    "task": "temporal_sequence"
  },
  {
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    "family": "2cabb60d59639c1ba728d06037fa97c048eaecc0fa6dada253d5bc0c59014891",
    "id": "bbeh:temporal_sequence:041",
    "request": "Victoria, Ava, Zoey and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:15, from 11:15 to 12:40, from 13:10 to 14:05, from 14:30 to 15:35\nTuesday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 11:35, from 12:45 to 12:45, from 13:15 to 13:40, anytime after 13:50\nWednesday: Free only at the following times: from 9:00 to 9:55, from 10:40 to 11:05, from 11:35 to 11:50, from 13:05 to 13:05, from 14:25 to 17:00\nThursday: Free only at the following times: anytime before 9:45, from 11:15 to 11:35, anytime after 12:50\nFriday: Free only at the following times: from 9:00 to 10:10, from 11:15 to 11:15, from 11:20 to 12:45, from 13:20 to 13:55, anytime after 14:45\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:40, from 12:15 to 13:20, from 13:50 to 14:50, from 16:20 to 16:45\nTuesday: Booked at the following times: from 9:25 to 9:40, from 10:15 to 11:45\nWednesday: Free only at the following times: anytime before 9:50, from 11:05 to 11:10, from 11:40 to 11:50, from 13:10 to 14:25, anytime after 15:15\nThursday: Free only at the following times: anytime before 9:20, from 9:40 to 9:55, from 10:35 to 12:00, anytime after 12:35\nFriday: Free only at the following times: anytime before 10:00, from 11:25 to 12:55, anytime after 13:15\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:10, from 10:15 to 11:15, from 12:10 to 12:15, from 12:35 to 17:00\nTuesday: Free only at the following times: anytime before 9:40, from 10:00 to 11:20, from 11:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:10, from 9:20 to 9:25, from 9:30 to 10:00, from 10:15 to 10:45, anytime after 11:15\nThursday: Booked at the following times: from 9:05 to 10:35, from 11:15 to 11:25\nFriday: Free only at the following times: from 9:00 to 9:40, from 10:10 to 11:00, from 12:05 to 12:30, from 13:15 to 13:35, anytime after 13:45\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:40, from 10:40 to 11:20, from 12:35 to 13:00, from 13:20 to 14:40\nTuesday: Booked at the following times: from 9:15 to 10:35, from 10:50 to 10:55, from 12:15 to 13:05\nWednesday: Free only at the following times: anytime before 9:45, from 10:00 to 10:20, from 11:40 to 12:35, anytime after 13:35\nThursday: Free only at the following times: from 9:00 to 9:25, from 10:35 to 11:10, from 12:10 to 12:35, anytime after 13:10\nFriday: Booked at the following times: from 9:30 to 10:15, from 11:45 to 12:40, from 13:15 to 14:35, from 14:35 to 14:45\n\n\nVictoria is flexible to miss (at most) 10 minutes of the meeting\nAva needs a break for lunch on Wednesday from 12:30 to 1:00\nZoey asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nClaire prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "63507fcfdf1e246ee5f9df004d0b4e44351d3d90bdbe978f986d3c85eef4c542",
    "id": "bbeh:temporal_sequence:042",
    "request": "Isabella, Karen, Amelia, Lisa, Eve and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 10:20 to 11:35, from 12:40 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:50 to 12:20, anytime after 13:35\nWednesday: Free only at the following times: from 9:00 to 9:05, from 9:30 to 9:30, from 10:35 to 11:30, anytime after 12:00\nThursday: Free only at the following times: from 9:05 to 10:10, from 11:40 to 12:15, from 12:55 to 13:00, from 14:15 to 17:00\nFriday: Booked at the following times: from 9:15 to 9:20, from 10:40 to 11:50, from 12:30 to 12:35\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 10:50 to 11:40, from 12:15 to 13:10, from 13:40 to 14:40, from 15:40 to 17:00\nTuesday: Free only at the following times: anytime before 10:30, from 11:30 to 11:45, anytime after 12:50\nWednesday: Free only at the following times: from 9:00 to 9:15, from 10:45 to 11:00, from 11:20 to 11:25, from 11:50 to 13:05, anytime after 14:25\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:05 to 10:45, from 11:40 to 12:45, anytime after 12:50\nFriday: Free only at the following times: from 9:45 to 10:40, from 11:30 to 11:55, anytime after 13:05\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:05, from 11:15 to 12:35, from 13:05 to 13:45, from 15:10 to 16:20\nTuesday: Free only at the following times: from 9:00 to 9:05, from 10:15 to 11:05, anytime after 11:25\nWednesday: Free only at the following times: anytime before 9:25, from 10:25 to 10:35, from 11:25 to 12:40, from 13:00 to 13:35, from 14:25 to 17:00\nThursday: Free only at the following times: from 10:15 to 10:30, from 11:05 to 11:30, from 12:05 to 12:20, from 13:50 to 17:00\nFriday: Free only at the following times: anytime before 10:30, from 11:00 to 11:05, from 11:50 to 17:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 10:20 to 11:20, from 12:15 to 13:40, from 15:10 to 16:25\nTuesday: Free only at the following times: from 9:05 to 10:15, from 11:30 to 12:35, anytime after 13:00\nWednesday: Free only at the following times: from 9:00 to 9:15, from 9:55 to 10:15, from 10:40 to 11:00, from 11:55 to 17:00\nThursday: Booked at the following times: from 9:55 to 11:20, from 12:10 to 13:30, from 13:40 to 15:10\nFriday: Free only at the following times: anytime before 10:25, from 11:20 to 12:40, from 13:50 to 13:55, anytime after 15:20\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 11:00 to 12:10, from 12:45 to 14:10, from 14:45 to 15:20, anytime after 16:35\nTuesday: Free only at the following times: anytime before 9:55, from 10:25 to 10:45, from 12:05 to 13:15, from 14:45 to 16:10, anytime after 16:30\nWednesday: Free only at the following times: anytime before 9:15, from 9:40 to 9:50, from 10:50 to 11:25, from 12:30 to 17:00\nThursday: Free only at the following times: anytime before 10:15, from 10:35 to 10:50, from 11:45 to 17:00\nFriday: Booked at the following times: anytime before 9:10, from 10:40 to 12:10\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:30, from 10:55 to 12:05, from 12:55 to 13:00\nTuesday: Free only at the following times: from 9:00 to 10:05, from 10:35 to 12:05, from 12:30 to 12:50, anytime after 13:35\nWednesday: Free only at the following times: anytime before 9:45, from 9:55 to 11:05, from 11:35 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:00, from 11:00 to 12:20, from 13:30 to 14:50, anytime after 15:35\nFriday: Free only at the following times: anytime before 10:25, from 11:50 to 12:50, from 12:55 to 14:15, from 15:10 to 17:00\n\n\nIsabella prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nKaren prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAmelia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLisa is in a timezone that is one hour ahead of other participants\nEve can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nMary feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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  },
  {
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    "family": "334c347634b90a9207bdae33adbfa15efeff4a94a957f7a85cd7e7afb89a33c4",
    "id": "bbeh:temporal_sequence:048",
    "request": "Karen, Mary, Sophia, Ava and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:10, from 11:10 to 12:05, from 13:20 to 14:20, from 14:45 to 15:00\nTuesday: Booked at the following times: from 9:15 to 10:35, from 11:50 to 12:15, from 12:55 to 13:25, from 13:50 to 15:10\nWednesday: Free only at the following times: anytime before 9:25, from 10:30 to 10:40, from 10:55 to 12:15, from 13:25 to 13:50, from 14:05 to 17:00\nThursday: Free only at the following times: anytime before 9:25, from 9:30 to 10:05, from 10:45 to 12:10, from 12:25 to 13:05, anytime after 13:15\nFriday: Free only at the following times: from 9:00 to 9:05, from 10:25 to 10:25, from 10:45 to 12:05, from 12:20 to 13:10, anytime after 13:55\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:20, from 10:50 to 11:55\nTuesday: Free only at the following times: from 9:00 to 9:25, from 10:40 to 12:05, from 13:00 to 13:25, from 13:45 to 14:25, anytime after 15:40\nWednesday: Booked at the following times: from 9:00 to 9:35, from 10:50 to 12:05, from 13:20 to 13:25, from 13:45 to 14:50\nThursday: Free only at the following times: anytime before 9:15, from 10:00 to 11:00, from 11:05 to 17:00\nFriday: Booked at the following times: from 10:25 to 11:00, from 11:05 to 11:30, from 12:15 to 12:50, from 13:30 to 13:35\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:30 to 11:00, from 11:25 to 11:40, anytime after 12:30\nTuesday: Free only at the following times: anytime before 9:25, from 10:15 to 11:25, from 12:40 to 13:35, from 13:40 to 15:10, anytime after 16:15\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:45 to 12:15, from 13:05 to 13:50, anytime after 14:20\nThursday: Booked at the following times: from 9:10 to 9:30, from 10:10 to 11:00, from 11:55 to 13:15, from 14:30 to 15:55\nFriday: Booked at the following times: from 10:15 to 11:20, from 12:45 to 13:15, from 14:25 to 15:25\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:25, from 12:50 to 14:15, from 15:25 to 16:50, from 16:50 to 17:00\nTuesday: Booked at the following times: from 10:15 to 11:30, from 12:55 to 14:10, from 14:45 to 14:55\nWednesday: Free only at the following times: anytime before 10:20, from 11:10 to 11:40, anytime after 12:35\nThursday: Free only at the following times: anytime before 9:25, from 10:00 to 10:10, from 11:35 to 17:00\nFriday: Booked at the following times: from 9:40 to 10:40, from 10:50 to 11:25, from 12:45 to 13:45, from 15:05 to 15:50\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 11:25 to 11:50, from 13:00 to 14:00, from 15:25 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 10:10, from 10:35 to 11:10, from 12:40 to 13:50, from 15:10 to 17:00\nWednesday: Booked at the following times: from 10:25 to 11:35, from 11:45 to 12:15, from 13:35 to 14:20\nThursday: Booked at the following times: from 9:30 to 9:40, from 10:00 to 10:05, from 11:25 to 12:15\nFriday: Free only at the following times: anytime before 10:00, from 11:30 to 11:55, from 12:10 to 13:20, anytime after 14:50\n\n\nKaren can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nMary feels tired late in the day and requires the meeting to end before 4pm\nSophia is in a timezone that is one hour ahead of other participants\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAlice prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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    "family": "64283ffa256e4ea808221475f49744b3ee750721cfffbaadf0f31c96eee972ae",
    "id": "bbeh:temporal_sequence:058",
    "request": "Amelia, Yolanda, Charlotte, Ava, Eve and Zoey work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 10:00 to 11:00, anytime after 12:20\nTuesday: Free only at the following times: anytime before 9:15, from 9:55 to 11:25, from 11:30 to 12:50, from 13:30 to 14:20, anytime after 15:00\nWednesday: Booked at the following times: anytime before 9:25, from 10:15 to 11:15\nThursday: Booked at the following times: from 9:15 to 10:25, from 11:45 to 12:05, from 12:45 to 13:55\nFriday: Free only at the following times: anytime before 10:00, from 11:15 to 12:25, from 13:45 to 14:15, anytime after 14:40\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:35 to 10:55, anytime after 12:15\nTuesday: Free only at the following times: from 10:20 to 11:10, from 11:55 to 12:10, from 13:30 to 13:30, from 13:55 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:10, from 10:30 to 11:10, from 12:40 to 13:00, from 13:20 to 17:00\nThursday: Booked at the following times: from 9:20 to 10:15, from 10:20 to 10:35\nFriday: Booked at the following times: from 9:45 to 11:15, from 11:15 to 11:35\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 10:20 to 10:25, anytime after 11:35\nTuesday: Booked at the following times: from 9:45 to 10:10, from 10:25 to 11:15, from 11:55 to 12:25, from 12:25 to 12:50\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:15 to 10:50, from 11:20 to 11:20, from 12:50 to 14:00, from 15:30 to 17:00\nThursday: Booked at the following times: from 10:00 to 10:45, from 11:25 to 11:35\nFriday: Free only at the following times: from 9:00 to 9:30, from 10:05 to 11:35, from 11:55 to 13:00, from 14:05 to 15:25, anytime after 15:45\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:45, from 10:55 to 11:15\nTuesday: Free only at the following times: from 9:00 to 10:10, from 11:30 to 12:10, from 13:30 to 14:35, anytime after 15:50\nWednesday: Booked at the following times: from 10:10 to 11:30, from 12:35 to 12:50, from 13:15 to 14:30\nThursday: Free only at the following times: from 9:00 to 10:05, from 11:05 to 11:10, anytime after 12:30\nFriday: Booked at the following times: from 9:25 to 10:40, from 10:45 to 11:00, from 12:25 to 13:15, from 14:45 to 15:15\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:55, from 10:45 to 11:25, from 12:40 to 12:40, anytime after 13:40\nTuesday: Booked at the following times: from 9:10 to 9:15, from 9:20 to 9:40\nWednesday: Free only at the following times: from 9:00 to 9:55, from 10:10 to 10:25, from 11:45 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:10, from 10:40 to 11:30, from 12:50 to 13:40, from 15:05 to 16:35, from 16:40 to 17:00\nFriday: Free only at the following times: anytime before 9:10, from 9:30 to 11:00, from 11:20 to 11:25, from 12:10 to 17:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 11:00 to 11:55, from 13:15 to 14:10, from 14:15 to 15:30, anytime after 16:25\nTuesday: Free only at the following times: anytime before 9:25, from 9:50 to 10:35, anytime after 11:15\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:25 to 10:45, anytime after 11:25\nThursday: Free only at the following times: from 9:00 to 9:50, from 9:55 to 9:55, from 10:45 to 10:50, from 11:50 to 12:10, anytime after 13:05\nFriday: Free only at the following times: anytime before 9:20, from 10:00 to 11:20, from 12:35 to 12:55, from 14:20 to 15:50, anytime after 16:00\n\n\nAmelia is in a timezone that is one hour ahead of other participants\nYolanda is fine to stay until 6pm to accommodate the meeting\nCharlotte prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAva can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nEve prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nZoey is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "28093bccb344e9b2be9acdb09d259d9bd277c52c2e1c0d3949c15d36dd6f3a7e",
    "id": "bbeh:temporal_sequence:060",
    "request": "Sarah, Isabella, Lisa and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:40, from 12:40 to 14:00, from 15:00 to 15:30\nTuesday: Free only at the following times: anytime before 10:10, from 11:25 to 11:40, anytime after 12:05\nWednesday: Free only at the following times: anytime before 10:15, from 11:15 to 12:25, from 13:55 to 17:00\nThursday: Free only at the following times: anytime before 9:55, from 11:00 to 11:00, from 11:15 to 11:45, from 13:00 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:25, from 10:15 to 11:30, from 12:45 to 13:30, anytime after 13:55\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 11:45, from 13:00 to 13:25, from 13:35 to 14:35\nTuesday: Booked at the following times: from 10:00 to 10:40, from 11:55 to 12:55\nWednesday: Free only at the following times: from 9:00 to 9:50, from 11:05 to 12:25, from 12:50 to 14:00, from 14:30 to 14:35, from 15:30 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:20, from 10:30 to 10:45, from 11:35 to 12:10, anytime after 12:25\nFriday: Free only at the following times: anytime before 9:25, from 10:45 to 11:00, from 12:05 to 12:25, anytime after 13:40\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 10:10 to 10:40, anytime after 11:00\nTuesday: Booked at the following times: from 9:40 to 10:30, from 10:30 to 11:10, from 12:40 to 13:50\nWednesday: Free only at the following times: from 9:00 to 9:40, from 11:05 to 11:55, from 12:50 to 13:00, from 14:00 to 17:00\nThursday: Free only at the following times: anytime before 9:15, from 9:30 to 9:30, from 9:50 to 11:05, anytime after 11:55\nFriday: Free only at the following times: from 9:00 to 10:05, from 11:35 to 11:35, from 12:30 to 12:55, anytime after 13:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:00, from 10:20 to 11:05, from 11:15 to 12:15, from 13:25 to 14:50, anytime after 14:55\nTuesday: Booked at the following times: from 9:00 to 9:50, from 10:10 to 11:40, from 11:45 to 11:50\nWednesday: Booked at the following times: from 10:25 to 11:15, from 12:10 to 13:00, from 14:05 to 15:10, from 15:15 to 16:10\nThursday: Free only at the following times: anytime before 10:20, from 10:45 to 11:25, from 12:00 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:15, from 10:40 to 12:05, from 13:15 to 14:15, from 15:10 to 17:00\n\n\nSarah feels tired late in the day and requires the meeting to end before 4pm\nIsabella can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLisa is in a timezone that is one hour ahead of other participants\nRachel needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "467a2a8e809e8b89d0bb1abb4c4ebb8ce71613bb77e99b023981206c0b9d9349",
    "id": "bbeh:temporal_sequence:064",
    "request": "Alice, Amelia and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:20, from 10:20 to 11:05, from 12:20 to 13:00\nTuesday: Free only at the following times: from 9:00 to 9:15, from 9:20 to 9:25, from 9:40 to 10:15, from 10:50 to 10:55, from 11:35 to 17:00\nWednesday: Booked at the following times: from 10:25 to 10:55, from 11:20 to 12:35, from 13:05 to 13:50\nThursday: Booked at the following times: from 9:50 to 10:15, from 10:20 to 10:25\nFriday: Booked at the following times: from 9:55 to 10:30, from 10:45 to 11:15\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:55, from 11:35 to 12:00, from 13:15 to 14:00, from 14:30 to 14:35\nTuesday: Booked at the following times: from 10:15 to 10:25, from 10:30 to 11:40, from 12:40 to 13:30\nWednesday: Free only at the following times: from 9:00 to 9:10, from 10:20 to 10:45, from 11:10 to 11:50, from 13:10 to 13:20, anytime after 13:30\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:15 to 10:15, anytime after 11:00\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:15 to 11:35, from 11:40 to 13:10, anytime after 13:40\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:05 to 10:30, from 11:40 to 17:00\nTuesday: Free only at the following times: anytime before 9:20, from 9:45 to 10:10, from 10:55 to 11:55, from 13:10 to 17:00\nWednesday: Free only at the following times: anytime before 9:20, from 9:45 to 9:50, from 11:10 to 12:00, anytime after 13:00\nThursday: Free only at the following times: from 9:00 to 9:40, from 9:55 to 10:15, from 11:15 to 12:35, from 13:10 to 17:00\nFriday: Booked at the following times: from 10:10 to 10:20, from 11:15 to 11:30, from 11:45 to 12:45, from 13:35 to 14:55\n\n\nAlice prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAmelia feels tired late in the day and requires the meeting to end before 4pm\nCharlotte asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "be4721cab68f7e41711e5f87aa8ba15619b6683d0cedc8da59dcbe12a77a49d2",
    "id": "bbeh:temporal_sequence:070",
    "request": "Sarah, Mary, Lisa, Rachel, Charlotte and Isabella work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:25 to 10:25, from 11:45 to 12:45, anytime after 13:55\nTuesday: Free only at the following times: anytime before 9:35, from 10:25 to 11:15, from 11:25 to 17:00\nWednesday: Booked at the following times: from 10:15 to 11:15, from 11:40 to 12:10, from 13:40 to 15:05\nThursday: Booked at the following times: from 9:20 to 9:55, from 11:25 to 12:05, from 13:15 to 13:50\nFriday: Free only at the following times: from 9:00 to 9:40, from 10:15 to 11:35, from 12:50 to 12:50, anytime after 13:55\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:55, from 10:55 to 11:50, from 13:20 to 13:40\nTuesday: Booked at the following times: from 9:50 to 11:05, from 11:55 to 12:00\nWednesday: Booked at the following times: from 9:40 to 11:10, from 12:35 to 13:05, from 14:00 to 14:55, from 15:10 to 16:15\nThursday: Free only at the following times: anytime before 9:35, from 10:15 to 10:45, from 11:05 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 11:15, from 11:40 to 13:00, anytime after 14:30\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:40 to 10:45, anytime after 10:50\nTuesday: Booked at the following times: from 9:25 to 10:45, from 11:15 to 12:30, from 13:30 to 13:40, from 14:45 to 15:45\nWednesday: Free only at the following times: from 9:00 to 10:25, from 10:30 to 10:45, from 11:55 to 12:40, from 13:55 to 17:00\nThursday: Free only at the following times: anytime before 9:05, from 9:10 to 9:15, from 10:15 to 10:55, from 12:05 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:20, from 9:30 to 10:55, from 11:35 to 12:50, from 13:20 to 14:35, anytime after 15:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 10:10 to 10:30, anytime after 11:15\nTuesday: Booked at the following times: from 9:35 to 11:00, from 12:25 to 12:30, from 12:45 to 13:40\nWednesday: Booked at the following times: from 10:15 to 11:25, from 12:25 to 13:10, from 13:35 to 14:35, from 15:15 to 15:20\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:15 to 10:55, from 12:10 to 12:35, from 13:30 to 17:00\nFriday: Free only at the following times: anytime before 10:15, from 11:25 to 11:35, from 12:05 to 12:45, from 13:10 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:00, from 11:15 to 12:40, from 12:40 to 13:45, from 15:00 to 16:25\nTuesday: Booked at the following times: from 9:10 to 10:35, from 11:15 to 12:10\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:35 to 11:10, from 12:35 to 13:15, anytime after 14:20\nThursday: Free only at the following times: anytime before 9:05, from 9:40 to 9:45, from 10:35 to 11:35, anytime after 12:50\nFriday: Free only at the following times: from 9:00 to 9:20, from 10:20 to 10:40, from 11:50 to 12:30, from 14:00 to 14:00, anytime after 15:25\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 10:20 to 11:05, from 12:05 to 13:30, from 13:50 to 14:25, anytime after 15:10\nTuesday: Free only at the following times: from 9:00 to 10:10, from 10:55 to 11:40, from 12:35 to 14:05, from 14:35 to 15:40, anytime after 16:45\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:25 to 10:50, from 11:45 to 12:55, anytime after 13:15\nThursday: Booked at the following times: from 9:50 to 9:55, from 10:20 to 11:35, from 12:20 to 13:40\nFriday: Booked at the following times: from 9:40 to 10:50, from 12:15 to 12:20\n\n\nSarah is fine to stay until 6pm to accommodate the meeting\nMary asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLisa prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nRachel can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nCharlotte is flexible to miss (at most) 10 minutes of the meeting\nIsabella is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "9c47ce09ebb75666ddf576d9df8210bfb2f85423214ee29655dbaca7a81654ad",
    "id": "bbeh:temporal_sequence:071",
    "request": "Charlotte, Alice, Eve and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:40 to 9:40, from 10:35 to 11:05, from 12:35 to 17:00\nTuesday: Booked at the following times: from 9:05 to 9:10, from 9:10 to 9:45, from 9:45 to 9:50\nWednesday: Booked at the following times: from 10:15 to 11:35, from 11:50 to 12:05, from 13:00 to 14:25, from 14:40 to 15:55\nThursday: Booked at the following times: from 9:20 to 9:35, from 9:40 to 9:50\nFriday: Booked at the following times: from 10:30 to 11:40, from 12:25 to 13:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:15 to 11:50, from 12:40 to 12:45, from 14:05 to 15:35, from 15:40 to 17:00\nTuesday: Booked at the following times: from 10:10 to 10:15, from 11:45 to 13:00, from 13:15 to 13:50, from 14:20 to 15:40\nWednesday: Free only at the following times: from 9:45 to 10:50, from 12:15 to 13:30, from 15:00 to 15:50, anytime after 16:55\nThursday: Free only at the following times: anytime before 10:30, from 10:55 to 11:05, from 12:10 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:25, from 10:35 to 11:15, from 12:30 to 13:20, from 13:40 to 14:45, from 16:05 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 11:15 to 12:10, from 13:15 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:05, from 10:45 to 11:00, from 12:30 to 13:25, from 14:30 to 17:00\nWednesday: Booked at the following times: from 10:25 to 11:00, from 12:25 to 13:15, from 14:25 to 15:30\nThursday: Booked at the following times: from 9:55 to 10:25, from 11:45 to 13:00, from 13:20 to 13:35, from 14:40 to 16:00\nFriday: Free only at the following times: anytime before 10:20, from 11:05 to 11:05, from 11:20 to 12:45, from 13:50 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:50, from 11:25 to 12:40, from 12:55 to 13:05\nTuesday: Free only at the following times: from 9:00 to 9:05, from 9:40 to 10:35, from 12:05 to 13:05, from 13:40 to 14:00, anytime after 14:40\nWednesday: Booked at the following times: from 9:30 to 10:55, from 11:05 to 11:35, from 12:00 to 12:05, from 12:40 to 13:30\nThursday: Booked at the following times: from 9:30 to 10:25, from 11:50 to 12:20\nFriday: Free only at the following times: anytime before 10:15, from 10:35 to 11:00, anytime after 11:45\n\n\nCharlotte prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAlice needs a break for lunch on Wednesday from 12:30 to 1:00\nEve is fine to stay until 6pm to accommodate the meeting\nKaren can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  },
  {
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    "family": "ebb5fb18a28c56a6e1e90ce3c79e03584ceac00ea6a6291343412c61a65d9c53",
    "id": "bbeh:temporal_sequence:082",
    "request": "Olivia, Charlotte and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:45, from 11:50 to 13:20\nTuesday: Free only at the following times: from 9:00 to 10:25, from 11:25 to 12:15, from 12:30 to 13:20, from 13:30 to 17:00\nWednesday: Free only at the following times: anytime before 9:35, from 9:55 to 10:15, from 10:50 to 17:00\nThursday: Booked at the following times: from 10:15 to 10:50, from 11:00 to 11:30, from 12:10 to 12:50\nFriday: Free only at the following times: from 9:00 to 9:55, from 10:35 to 11:15, from 11:30 to 11:45, from 12:25 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 10:30 to 10:30, from 11:35 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:20, from 11:35 to 12:05, anytime after 13:00\nWednesday: Booked at the following times: from 10:25 to 11:20, from 12:45 to 13:15\nThursday: Free only at the following times: anytime before 9:40, from 9:50 to 10:05, from 11:25 to 11:40, from 12:20 to 17:00\nFriday: Booked at the following times: from 9:05 to 9:20, from 9:40 to 10:35, from 11:35 to 11:55, from 12:25 to 13:10\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:40 to 10:15, anytime after 11:05\nTuesday: Free only at the following times: anytime before 9:20, from 9:50 to 9:50, from 10:10 to 11:00, from 11:55 to 12:00, from 13:25 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:55, from 10:40 to 11:05, from 12:05 to 13:00, from 13:25 to 17:00\nThursday: Booked at the following times: from 10:05 to 11:00, from 11:30 to 12:40\nFriday: Booked at the following times: from 9:55 to 11:25, from 12:10 to 13:20, from 14:00 to 15:05, from 15:05 to 15:30\n\n\nOlivia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nCharlotte is in a timezone that is one hour ahead of other participants\nEmma prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  },
  {
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    "family": "2114f0a947eab6348181300e6919e3f2528876a999af2d57974df1e748493b46",
    "id": "bbeh:temporal_sequence:090",
    "request": "Olivia, Ava and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:25, from 10:50 to 10:55\nTuesday: Booked at the following times: from 9:25 to 10:10, from 11:00 to 11:30, from 12:45 to 13:15, from 14:40 to 16:05\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 10:00, from 10:20 to 17:00\nThursday: Booked at the following times: from 9:05 to 10:20, from 10:50 to 12:20\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:45 to 13:00, anytime after 14:20\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:15 to 11:25, from 12:10 to 12:50, anytime after 14:00\nTuesday: Booked at the following times: from 9:20 to 10:05, from 10:50 to 12:10, from 13:05 to 14:10\nWednesday: Free only at the following times: anytime before 9:30, from 10:55 to 11:05, from 11:45 to 13:00, from 13:50 to 13:55, from 14:30 to 17:00\nThursday: Booked at the following times: from 10:10 to 11:30, from 11:45 to 13:10, from 13:20 to 13:55\nFriday: Booked at the following times: from 10:20 to 11:00, from 12:25 to 12:55\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:30, from 10:45 to 12:15\nTuesday: Free only at the following times: anytime before 9:20, from 10:10 to 11:30, anytime after 12:55\nWednesday: Free only at the following times: from 9:30 to 9:55, from 10:30 to 11:05, anytime after 12:30\nThursday: Booked at the following times: from 9:05 to 10:20, from 11:30 to 12:50, from 13:05 to 13:15\nFriday: Free only at the following times: from 9:00 to 10:30, from 11:25 to 12:10, from 13:35 to 14:45, from 15:45 to 16:10, from 16:20 to 17:00\n\n\nOlivia feels tired late in the day and requires the meeting to end before 4pm\nAva is fine to stay until 6pm to accommodate the meeting\nNancy is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  {
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    "family": "efd011694d079df00fdbc1443439ec2498046a467659a4231b77005b933cb20f",
    "id": "bbeh:temporal_sequence:102",
    "request": "Zoey, Lisa, Emma, Amelia, Nancy and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:45, from 11:05 to 12:10, from 12:55 to 14:15, from 15:40 to 16:05\nTuesday: Booked at the following times: from 9:35 to 10:00, from 10:40 to 11:45\nWednesday: Free only at the following times: from 9:00 to 10:10, from 11:20 to 11:55, from 12:50 to 13:35, anytime after 13:50\nThursday: Free only at the following times: from 10:20 to 11:20, from 12:40 to 17:00\nFriday: Free only at the following times: anytime before 9:30, from 11:00 to 12:30, from 12:45 to 17:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 10:55, from 11:45 to 12:20, from 13:35 to 14:30, from 15:15 to 16:20\nTuesday: Booked at the following times: from 9:30 to 10:35, from 11:05 to 12:20, from 13:10 to 14:20\nWednesday: Booked at the following times: from 9:55 to 11:15, from 12:15 to 13:40, from 15:00 to 15:50, from 16:25 to 16:35\nThursday: Booked at the following times: from 9:45 to 10:05, from 11:00 to 11:15, from 12:45 to 13:15, from 13:50 to 13:55\nFriday: Booked at the following times: from 9:10 to 9:50, from 10:35 to 11:15\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:40, from 11:35 to 13:00\nTuesday: Free only at the following times: anytime before 9:25, from 10:35 to 11:45, anytime after 12:45\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:30 to 12:25, from 12:30 to 17:00\nThursday: Booked at the following times: from 9:55 to 11:15, from 11:40 to 12:30, from 14:00 to 15:10\nFriday: Booked at the following times: from 10:15 to 11:05, from 12:30 to 13:55, from 14:25 to 14:45\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 11:25 to 11:30, anytime after 12:25\nTuesday: Free only at the following times: from 9:00 to 9:40, from 10:50 to 12:00, from 13:05 to 14:25, from 15:05 to 15:50\nWednesday: Booked at the following times: from 9:10 to 10:10, from 10:50 to 12:00\nThursday: Booked at the following times: from 10:15 to 11:15, from 11:15 to 12:15\nFriday: Booked at the following times: from 9:30 to 10:25, from 11:10 to 11:45, from 12:05 to 12:15, from 13:40 to 14:25\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 10:30 to 10:55, from 11:50 to 13:20, from 13:50 to 17:00\nTuesday: Booked at the following times: from 9:35 to 9:55, from 10:35 to 11:05\nWednesday: Booked at the following times: from 9:25 to 9:45, from 10:15 to 11:20, from 12:50 to 13:05\nThursday: Booked at the following times: from 10:15 to 10:50, from 11:30 to 11:35\nFriday: Free only at the following times: anytime before 9:25, from 10:15 to 11:10, from 11:20 to 12:00, from 12:05 to 12:10, anytime after 13:30\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:10 to 11:40, from 12:20 to 17:00\nTuesday: Booked at the following times: from 9:10 to 9:45, from 10:50 to 11:15, from 12:35 to 12:40\nWednesday: Free only at the following times: anytime before 9:35, from 9:55 to 10:45, from 11:20 to 12:10, anytime after 12:40\nThursday: Free only at the following times: from 9:00 to 9:05, from 9:35 to 10:15, from 10:20 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:50, from 10:20 to 10:55, from 11:50 to 13:10, from 14:25 to 17:00\n\n\nZoey prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLisa can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAmelia is flexible to miss (at most) 10 minutes of the meeting\nNancy feels tired late in the day and requires the meeting to end before 4pm\nVictoria is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "3b039464e3b67cb05fbb57d64ddb2ed7a0ff58eef6e925fba70e0e5c782933cf",
    "id": "bbeh:temporal_sequence:105",
    "request": "Eve, Sophia, Nancy, Isabella, Yolanda and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 9:45, from 10:25 to 11:00\nTuesday: Booked at the following times: from 9:30 to 10:35, from 11:45 to 12:05\nWednesday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 10:15, from 10:20 to 10:55, from 11:05 to 11:20, anytime after 12:15\nThursday: Booked at the following times: from 9:20 to 10:00, from 10:00 to 10:30, from 10:35 to 10:45\nFriday: Free only at the following times: anytime before 9:50, from 10:55 to 10:55, from 11:50 to 13:15, from 14:40 to 17:00\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 10:20, from 11:25 to 11:50\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:20 to 10:30, from 10:45 to 10:55, from 11:00 to 11:05, from 11:25 to 17:00\nWednesday: Free only at the following times: anytime before 9:45, from 10:55 to 12:15, from 13:30 to 17:00\nThursday: Booked at the following times: from 9:25 to 10:05, from 10:30 to 11:35, from 12:00 to 13:30, from 14:40 to 16:05\nFriday: Booked at the following times: anytime before 10:05, from 10:05 to 10:55, from 11:55 to 13:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:40, from 11:25 to 12:50, from 14:00 to 14:25\nTuesday: Booked at the following times: from 9:15 to 10:15, from 10:55 to 11:55, from 13:25 to 14:50\nWednesday: Free only at the following times: from 9:00 to 10:05, from 11:35 to 12:30, from 12:40 to 14:10, from 14:45 to 16:15, from 16:40 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:05, from 9:15 to 10:25, from 11:35 to 12:55, from 14:15 to 15:40, from 16:05 to 17:00\nFriday: Booked at the following times: from 9:45 to 10:40, from 11:55 to 12:15, from 12:55 to 13:50\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 10:55 to 11:15, anytime after 12:00\nTuesday: Free only at the following times: from 9:00 to 9:15, from 10:30 to 11:10, from 12:10 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:35, from 11:00 to 11:35, from 11:40 to 12:00, from 13:05 to 13:55, from 14:30 to 17:00\nThursday: Booked at the following times: from 10:10 to 11:15, from 12:45 to 13:15, from 14:45 to 16:00\nFriday: Free only at the following times: from 9:00 to 9:10, from 10:25 to 10:40, from 11:30 to 11:50, anytime after 12:20\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:15, from 10:40 to 12:05, from 12:55 to 13:20, from 14:35 to 17:00\nTuesday: Free only at the following times: from 9:05 to 9:10, from 9:20 to 9:40, from 10:55 to 11:55, from 12:40 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:55 to 11:55, anytime after 12:45\nThursday: Free only at the following times: anytime before 9:55, from 10:20 to 11:10, from 11:25 to 17:00\nFriday: Free only at the following times: anytime before 9:50, from 11:10 to 12:10, anytime after 13:30\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:35, from 12:20 to 12:55\nTuesday: Free only at the following times: from 9:00 to 9:40, from 10:30 to 10:55, anytime after 11:35\nWednesday: Booked at the following times: from 9:05 to 10:35, from 11:50 to 12:15, from 12:25 to 13:00\nThursday: Booked at the following times: from 9:55 to 10:55, from 11:45 to 11:50, from 13:00 to 13:35, from 14:00 to 14:45\nFriday: Free only at the following times: from 9:00 to 9:40, from 10:10 to 10:10, from 10:15 to 10:25, anytime after 11:05\n\n\nEve can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nSophia is fine to stay until 6pm to accommodate the meeting\nNancy is in a timezone that is one hour ahead of other participants\nIsabella asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nYolanda prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nMary needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "6e8d07571e2357e016e9a79ce1c4f131e02dfeb3e177a97385083b08b7a7965b",
    "id": "bbeh:temporal_sequence:107",
    "request": "Mary, Olivia, Charlotte, Sophia, Karen and Eve work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:05, from 12:05 to 13:25, from 13:40 to 14:00, from 14:55 to 16:25\nTuesday: Booked at the following times: from 9:10 to 9:35, from 10:50 to 11:50, from 12:45 to 13:20, from 13:55 to 15:25\nWednesday: Free only at the following times: anytime before 9:15, from 9:50 to 10:35, anytime after 10:45\nThursday: Free only at the following times: from 9:00 to 10:05, from 11:05 to 12:15, anytime after 12:40\nFriday: Free only at the following times: anytime before 10:30, from 11:55 to 12:20, anytime after 13:20\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:30, from 11:45 to 13:15\nTuesday: Booked at the following times: from 9:45 to 11:10, from 12:40 to 13:40, from 14:40 to 15:10\nWednesday: Booked at the following times: from 9:10 to 10:25, from 10:45 to 11:25, from 12:25 to 13:55\nThursday: Booked at the following times: from 10:15 to 11:05, from 12:35 to 14:00, from 14:15 to 15:20\nFriday: Free only at the following times: anytime before 9:20, from 10:15 to 11:00, anytime after 12:25\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 10:40, from 11:45 to 12:50, from 13:55 to 15:05, from 16:05 to 16:30\nTuesday: Free only at the following times: from 9:00 to 10:15, from 10:35 to 10:45, from 11:00 to 11:25, from 12:35 to 12:40, from 13:00 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 9:10 to 10:35, from 10:45 to 11:50, from 13:00 to 17:00\nThursday: Booked at the following times: from 10:15 to 11:00, from 11:20 to 12:25, from 13:05 to 13:45\nFriday: Booked at the following times: from 9:15 to 9:25, from 10:30 to 10:50, from 11:50 to 12:25, from 13:10 to 13:25\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:35, from 10:50 to 10:55, from 11:45 to 12:20\nTuesday: Booked at the following times: from 9:50 to 10:25, from 10:40 to 11:25, from 12:45 to 14:00, from 15:10 to 15:45\nWednesday: Free only at the following times: from 9:00 to 9:35, from 9:55 to 10:45, from 11:25 to 17:00\nThursday: Booked at the following times: from 9:15 to 9:30, from 10:05 to 10:45\nFriday: Free only at the following times: from 10:25 to 11:00, from 12:30 to 13:00, from 13:45 to 13:45, anytime after 13:50\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:45, from 10:45 to 11:45, from 12:20 to 12:45\nTuesday: Booked at the following times: from 10:05 to 11:00, from 11:20 to 12:45\nWednesday: Booked at the following times: from 9:35 to 10:45, from 11:00 to 11:30, from 12:45 to 13:45, from 14:20 to 14:25\nThursday: Free only at the following times: anytime before 9:15, from 9:20 to 10:10, anytime after 10:55\nFriday: Free only at the following times: from 9:00 to 10:10, from 11:30 to 11:45, from 12:25 to 13:35, from 15:00 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:50, from 11:15 to 12:30, from 14:00 to 14:55, from 16:05 to 16:25, from 16:40 to 17:00\nTuesday: Booked at the following times: from 9:20 to 9:50, from 10:10 to 10:35, from 11:55 to 13:20\nWednesday: Free only at the following times: from 9:00 to 10:30, from 11:40 to 13:05, from 13:30 to 13:40, from 14:45 to 17:00\nThursday: Booked at the following times: from 10:30 to 10:55, from 12:05 to 12:50, from 13:50 to 14:20, from 14:55 to 15:25\nFriday: Free only at the following times: anytime before 9:30, from 10:55 to 11:55, from 12:10 to 13:25, from 14:30 to 14:55, anytime after 16:10\n\n\nMary asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nOlivia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nCharlotte can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nSophia is flexible to miss the last (at most) 10 minutes of the meeting\nKaren is flexible to miss (at most) 10 minutes of the meeting\nEve feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "f44e2f924f64a1b1e94a671b0e13d84dc60658f1f844c2cf3df4c18707dd3c9a",
    "id": "bbeh:temporal_sequence:120",
    "request": "Charlotte, Ava, Sarah, Nancy and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:15 to 11:25, anytime after 12:10\nTuesday: Free only at the following times: anytime before 10:20, from 10:30 to 10:50, from 12:00 to 12:35, from 13:55 to 17:00\nWednesday: Free only at the following times: anytime before 9:45, from 10:05 to 10:50, from 11:50 to 12:45, anytime after 12:55\nThursday: Free only at the following times: anytime before 10:05, from 11:20 to 12:45, from 13:15 to 14:25, from 14:55 to 17:00\nFriday: Booked at the following times: from 10:10 to 10:35, from 10:50 to 11:35\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 9:50 to 11:15, from 12:15 to 12:20, anytime after 12:50\nTuesday: Free only at the following times: anytime before 10:20, from 11:15 to 11:30, from 12:25 to 12:40, anytime after 13:05\nWednesday: Free only at the following times: anytime before 10:05, from 11:20 to 12:25, from 13:50 to 14:35, from 15:10 to 16:30, anytime after 16:40\nThursday: Booked at the following times: from 9:05 to 10:25, from 11:00 to 12:25\nFriday: Booked at the following times: from 9:40 to 10:25, from 11:50 to 12:50, from 13:20 to 13:45, from 15:00 to 15:15\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 10:15, from 10:50 to 11:25\nTuesday: Booked at the following times: from 10:15 to 11:10, from 12:20 to 13:10, from 13:10 to 13:20, from 14:35 to 16:00\nWednesday: Free only at the following times: anytime before 9:15, from 9:35 to 10:45, from 11:15 to 17:00\nThursday: Free only at the following times: anytime before 9:20, from 9:40 to 10:30, from 11:20 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:50 to 12:25, from 12:50 to 13:35, from 14:05 to 15:30, anytime after 15:45\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 10:10 to 11:40, anytime after 12:05\nTuesday: Free only at the following times: anytime before 9:40, from 10:35 to 10:50, from 11:15 to 17:00\nWednesday: Booked at the following times: from 10:15 to 11:30, from 12:10 to 12:50\nThursday: Free only at the following times: anytime before 9:20, from 10:10 to 10:25, from 11:35 to 12:20, from 13:05 to 17:00\nFriday: Booked at the following times: from 9:15 to 9:45, from 11:10 to 12:35\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 10:35 to 11:10, from 12:40 to 13:25, from 13:40 to 17:00\nTuesday: Booked at the following times: from 10:30 to 11:50, from 12:50 to 14:00\nWednesday: Free only at the following times: anytime before 9:10, from 10:30 to 12:00, from 12:50 to 12:55, anytime after 14:15\nThursday: Free only at the following times: from 9:00 to 9:25, from 10:20 to 11:15, from 11:30 to 12:55, from 13:30 to 14:30, anytime after 15:50\nFriday: Booked at the following times: from 10:00 to 10:15, from 11:15 to 11:25, from 12:00 to 12:30\n\n\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nSarah prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nNancy needs a break for lunch on Wednesday from 12:30 to 1:00\nOlivia asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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    "family": "53e0e01920f93fd2110c2731736133cb308b27f9ec7a9cb2864b32ab8a140847",
    "id": "bbeh:temporal_sequence:123",
    "request": "Emma, Eve, Olivia, Isabella, Nancy and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:20 to 11:00, from 12:10 to 13:35, from 14:50 to 17:00\nTuesday: Free only at the following times: anytime before 10:20, from 10:25 to 10:30, from 11:55 to 13:20, from 14:35 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:50 to 11:20, from 12:15 to 12:50, from 14:00 to 14:20, from 15:45 to 17:00\nThursday: Booked at the following times: from 9:10 to 10:10, from 11:15 to 11:40\nFriday: Booked at the following times: from 10:05 to 11:15, from 12:25 to 12:35, from 12:45 to 13:35, from 14:20 to 15:40\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:30, from 11:50 to 13:10, from 14:05 to 15:15, from 15:25 to 16:05\nTuesday: Booked at the following times: from 9:15 to 10:45, from 10:45 to 11:15, from 11:45 to 11:55\nWednesday: Booked at the following times: from 9:20 to 10:15, from 11:25 to 11:30, from 13:00 to 13:15, from 14:40 to 15:45\nThursday: Booked at the following times: anytime before 10:20, from 11:50 to 12:05, from 12:05 to 13:05, from 14:10 to 14:15\nFriday: Booked at the following times: from 10:25 to 11:00, from 11:20 to 12:20, from 12:50 to 14:00, from 14:35 to 14:40\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:00, from 10:30 to 11:45, from 13:00 to 14:30, from 15:15 to 16:40, from 16:50 to 17:00\nTuesday: Free only at the following times: anytime before 9:10, from 9:20 to 9:40, from 10:45 to 10:45, from 11:35 to 12:40, from 13:50 to 17:00\nWednesday: Free only at the following times: anytime before 9:25, from 9:40 to 10:10, from 10:55 to 11:50, from 12:55 to 13:30, from 13:50 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:05, from 10:55 to 11:55, from 12:10 to 13:00, from 14:30 to 14:45, from 14:55 to 17:00\nFriday: Free only at the following times: anytime before 9:35, from 9:55 to 10:05, anytime after 10:15\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:35, from 10:55 to 11:05, from 11:45 to 12:30, from 13:00 to 13:15, anytime after 13:40\nTuesday: Booked at the following times: from 9:50 to 10:00, from 11:00 to 11:30, from 11:35 to 12:45\nWednesday: Booked at the following times: from 9:10 to 9:15, from 10:20 to 10:45\nThursday: Booked at the following times: from 9:55 to 11:00, from 11:25 to 12:00, from 12:40 to 13:15\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:45 to 11:05, from 11:50 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 10:35 to 11:40, from 11:55 to 12:15, from 13:15 to 17:00\nTuesday: Free only at the following times: anytime before 9:15, from 9:50 to 10:45, anytime after 11:55\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:40 to 10:40, from 11:10 to 11:55, anytime after 12:20\nThursday: Booked at the following times: from 9:15 to 10:00, from 10:25 to 10:45, from 10:50 to 11:30\nFriday: Free only at the following times: anytime before 9:05, from 10:15 to 10:50, from 11:10 to 11:55, from 12:25 to 12:45, anytime after 13:25\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:20, from 10:50 to 11:55, from 11:55 to 13:20\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:50 to 12:05, from 12:25 to 17:00\nWednesday: Booked at the following times: from 10:20 to 10:45, from 11:20 to 12:10, from 13:10 to 14:05, from 14:20 to 14:30\nThursday: Free only at the following times: anytime before 9:30, from 9:45 to 10:00, anytime after 10:35\nFriday: Booked at the following times: from 9:35 to 11:05, from 11:10 to 11:15, from 12:25 to 13:50\n\n\nEmma feels tired late in the day and requires the meeting to end before 4pm\nEve is in a timezone that is one hour ahead of other participants\nOlivia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nIsabella is flexible to miss (at most) 10 minutes of the meeting\nNancy is flexible to miss the last (at most) 10 minutes of the meeting\nSarah is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  {
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    "family": "8ded9100c0fe36111f322f677c405ad73a8c866b4ff74f513b88e3f7810914d8",
    "id": "bbeh:temporal_sequence:128",
    "request": "Emma, Yolanda, Lisa, Zoey, Claire and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:40, from 9:55 to 10:10, from 10:20 to 10:40, from 11:25 to 12:30, from 12:35 to 17:00\nTuesday: Free only at the following times: anytime before 9:35, from 10:20 to 11:30, from 12:00 to 13:20, from 14:30 to 14:35, from 15:05 to 17:00\nWednesday: Booked at the following times: from 10:30 to 11:40, from 12:10 to 12:40\nThursday: Free only at the following times: from 9:00 to 9:15, from 9:50 to 11:00, from 12:20 to 13:30, from 14:00 to 14:25, from 15:45 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:15, from 11:10 to 12:10, from 13:25 to 14:55, from 15:20 to 16:10, anytime after 16:40\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 10:45 to 11:00, from 12:05 to 17:00\nTuesday: Booked at the following times: from 10:20 to 11:15, from 12:00 to 12:05, from 12:30 to 13:15, from 13:40 to 14:25\nWednesday: Free only at the following times: from 9:00 to 9:35, from 10:25 to 10:55, from 11:25 to 12:45, anytime after 13:35\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:15 to 10:50, from 11:20 to 11:30, from 12:40 to 12:50, anytime after 13:45\nFriday: Free only at the following times: anytime before 9:45, from 10:30 to 10:50, from 11:25 to 17:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:15, from 11:40 to 13:00\nTuesday: Free only at the following times: anytime before 10:10, from 10:35 to 11:55, from 13:25 to 14:35, anytime after 15:30\nWednesday: Free only at the following times: anytime before 9:20, from 9:45 to 10:35, anytime after 11:30\nThursday: Booked at the following times: from 9:25 to 9:55, from 9:55 to 10:15, from 10:15 to 10:20, from 11:00 to 12:05\nFriday: Free only at the following times: from 9:00 to 9:05, from 9:40 to 9:55, from 10:25 to 17:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: from 9:55 to 10:10, anytime after 11:10\nTuesday: Free only at the following times: anytime before 9:20, from 10:40 to 11:00, from 11:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:25, from 11:55 to 12:15, from 12:30 to 17:00\nThursday: Free only at the following times: anytime before 9:05, from 9:20 to 10:30, from 11:05 to 11:35, from 12:50 to 14:05, anytime after 15:35\nFriday: Free only at the following times: from 9:00 to 9:10, from 9:25 to 9:40, from 11:05 to 11:25, from 12:00 to 12:25, from 12:35 to 17:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:35 to 11:10, from 12:30 to 12:50, anytime after 13:55\nTuesday: Free only at the following times: from 9:00 to 9:55, from 10:15 to 11:10, from 11:25 to 17:00\nWednesday: Booked at the following times: from 9:30 to 9:40, from 10:15 to 10:35\nThursday: Free only at the following times: anytime before 10:25, from 10:55 to 11:50, from 12:45 to 17:00\nFriday: Free only at the following times: anytime before 9:55, from 10:55 to 11:00, from 12:25 to 12:35, from 13:30 to 14:05, anytime after 14:15\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:00, from 10:30 to 11:25, anytime after 12:50\nTuesday: Free only at the following times: from 9:00 to 10:20, from 11:45 to 13:00, anytime after 13:45\nWednesday: Free only at the following times: anytime before 10:05, from 11:20 to 11:40, from 12:25 to 13:05, from 13:30 to 13:35, anytime after 14:30\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:25 to 10:40, from 10:55 to 12:15, from 12:20 to 17:00\nFriday: Booked at the following times: from 10:25 to 10:50, from 11:00 to 12:00\n\n\nEmma is flexible to miss (at most) 10 minutes of the meeting\nYolanda can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLisa prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nZoey is flexible to miss the last (at most) 10 minutes of the meeting\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nKaren asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  {
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    "family": "edd3864671b888f52bd35607deb566eccdbe216afad0e96eccee91729c262da0",
    "id": "bbeh:temporal_sequence:138",
    "request": "Sarah, Yolanda, Rachel, Olivia, Emma and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:15, from 11:30 to 12:15, from 13:45 to 15:05\nTuesday: Booked at the following times: from 9:45 to 9:55, from 10:05 to 10:20, from 11:05 to 12:05\nWednesday: Booked at the following times: from 10:05 to 10:10, from 11:05 to 12:05\nThursday: Booked at the following times: from 9:25 to 10:40, from 11:30 to 11:40, from 12:50 to 13:00\nFriday: Free only at the following times: anytime before 10:30, from 11:40 to 12:30, from 13:05 to 13:30, anytime after 14:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 11:25 to 12:40, anytime after 13:15\nTuesday: Booked at the following times: from 10:00 to 10:15, from 11:45 to 12:40\nWednesday: Free only at the following times: from 9:00 to 9:15, from 9:30 to 10:35, anytime after 11:10\nThursday: Booked at the following times: anytime before 10:00, from 10:20 to 10:50, from 11:45 to 13:10\nFriday: Free only at the following times: anytime before 9:55, from 10:20 to 10:55, from 11:15 to 17:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:15, from 11:35 to 12:50, from 13:00 to 14:00\nTuesday: Free only at the following times: anytime before 9:30, from 9:40 to 10:25, from 11:45 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:50 to 10:55, from 12:25 to 13:50, from 14:10 to 15:00, anytime after 15:25\nThursday: Booked at the following times: from 10:05 to 10:10, from 10:45 to 10:55, from 12:25 to 13:35\nFriday: Free only at the following times: anytime before 9:05, from 9:20 to 10:25, from 11:45 to 11:50, anytime after 12:45\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 11:10 to 12:40, anytime after 13:40\nTuesday: Free only at the following times: anytime before 9:30, from 9:50 to 11:00, anytime after 12:25\nWednesday: Free only at the following times: anytime before 10:20, from 10:40 to 10:40, from 11:15 to 11:45, from 11:50 to 12:50, from 12:55 to 17:00\nThursday: Free only at the following times: anytime before 10:25, from 11:30 to 12:40, from 13:05 to 17:00\nFriday: Booked at the following times: from 9:30 to 9:35, from 10:55 to 11:15\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:40, from 13:00 to 14:15, from 14:50 to 15:15, from 16:25 to 16:30\nTuesday: Booked at the following times: from 9:55 to 11:20, from 11:50 to 12:30, from 13:05 to 14:25\nWednesday: Booked at the following times: from 9:10 to 9:30, from 9:30 to 10:50, from 11:55 to 12:15, from 12:45 to 13:00\nThursday: Free only at the following times: from 9:00 to 9:05, from 10:00 to 10:35, from 11:00 to 17:00\nFriday: Booked at the following times: from 9:45 to 10:05, from 10:15 to 10:35, from 11:30 to 12:05\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 10:30, from 11:45 to 13:15\nTuesday: Free only at the following times: anytime before 10:15, from 10:55 to 11:30, from 13:00 to 14:00, from 15:30 to 15:45, from 15:55 to 17:00\nWednesday: Booked at the following times: from 9:55 to 10:20, from 11:05 to 11:40\nThursday: Booked at the following times: from 9:00 to 9:05, from 9:20 to 10:35, from 11:15 to 12:30, from 12:55 to 14:05\nFriday: Free only at the following times: from 9:00 to 9:40, from 10:00 to 10:50, from 11:25 to 17:00\n\n\nSarah can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nYolanda prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nRachel needs a break for lunch on Wednesday from 12:30 to 1:00\nOlivia is in a timezone that is one hour ahead of other participants\nEmma can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nKaren feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "6d7fb6848739a79a3ba55febabc6241047565f5282cc9256b6666c032a9f52f9",
    "id": "bbeh:temporal_sequence:141",
    "request": "Yolanda, Karen, Claire, Eve and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:40, from 10:10 to 10:30, from 11:50 to 12:40, from 13:40 to 14:20, from 14:55 to 17:00\nTuesday: Booked at the following times: from 9:40 to 10:25, from 11:00 to 11:45\nWednesday: Booked at the following times: from 9:15 to 10:35, from 11:15 to 12:15\nThursday: Booked at the following times: from 9:05 to 9:35, from 10:35 to 11:40, from 12:30 to 14:00, from 15:05 to 16:30\nFriday: Free only at the following times: from 9:00 to 10:00, from 10:35 to 11:50, from 12:25 to 13:10, from 14:35 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:05, from 11:00 to 11:40, from 12:25 to 13:20, from 13:35 to 14:05\nTuesday: Booked at the following times: from 10:20 to 11:50, from 11:50 to 12:55\nWednesday: Free only at the following times: from 9:00 to 9:05, from 9:35 to 10:30, from 11:40 to 13:05, from 13:25 to 13:25, anytime after 13:35\nThursday: Free only at the following times: anytime before 9:30, from 10:25 to 11:05, from 11:25 to 11:30, from 12:10 to 17:00\nFriday: Booked at the following times: from 10:25 to 11:10, from 11:25 to 12:20, from 13:25 to 13:40, from 14:35 to 15:45\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:30 to 10:45, from 11:10 to 17:00\nTuesday: Free only at the following times: anytime before 9:40, from 9:45 to 11:15, from 12:05 to 13:25, from 13:35 to 13:45, from 15:15 to 17:00\nWednesday: Booked at the following times: from 10:20 to 10:35, from 10:40 to 11:55\nThursday: Free only at the following times: from 9:00 to 10:10, from 10:20 to 10:35, anytime after 11:50\nFriday: Booked at the following times: from 9:55 to 11:00, from 11:10 to 11:40, from 12:55 to 14:05, from 15:35 to 16:15\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:35, from 11:25 to 11:45\nTuesday: Booked at the following times: anytime before 9:45, from 11:05 to 11:40\nWednesday: Booked at the following times: from 9:10 to 10:15, from 11:20 to 11:55, from 12:10 to 12:55, from 13:00 to 14:25\nThursday: Booked at the following times: from 10:00 to 10:25, from 10:50 to 11:10, from 12:00 to 12:20\nFriday: Free only at the following times: from 9:00 to 9:05, from 9:35 to 10:10, from 11:20 to 11:35, anytime after 11:50\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 10:40 to 11:10, anytime after 11:25\nTuesday: Free only at the following times: anytime before 9:10, from 10:40 to 11:30, from 11:40 to 17:00\nWednesday: Booked at the following times: from 9:05 to 9:55, from 10:55 to 11:10, from 11:10 to 11:35\nThursday: Booked at the following times: from 10:15 to 11:35, from 11:40 to 12:10\nFriday: Free only at the following times: anytime before 10:05, from 10:25 to 10:35, from 10:55 to 11:05, anytime after 11:10\n\n\nYolanda is flexible to miss the last (at most) 10 minutes of the meeting\nKaren is in a timezone that is one hour ahead of other participants\nClaire needs a break for lunch on Wednesday from 12:30 to 1:00\nEve can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nOlivia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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  },
  {
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    "family": "feae65356c03bd6ff147e5ca45422c1f36788738aef06972dd04d3ca95b34006",
    "id": "bbeh:temporal_sequence:147",
    "request": "Isabella, Victoria and Eve work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:55, from 12:25 to 13:50, from 13:55 to 14:55\nTuesday: Booked at the following times: from 9:25 to 9:55, from 10:20 to 11:50\nWednesday: Booked at the following times: from 9:55 to 10:30, from 10:35 to 11:20, from 11:45 to 12:00, from 12:10 to 12:40\nThursday: Free only at the following times: from 9:00 to 9:35, from 10:25 to 11:40, from 12:30 to 13:25, from 13:35 to 14:55, anytime after 15:20\nFriday: Booked at the following times: from 9:55 to 11:20, from 11:30 to 12:00, from 12:50 to 13:10, from 13:15 to 14:15\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:00 to 9:15, from 9:25 to 9:55, from 11:25 to 11:40, from 12:05 to 12:25\nTuesday: Booked at the following times: from 9:55 to 10:05, from 10:25 to 10:30\nWednesday: Booked at the following times: from 9:40 to 10:15, from 10:55 to 11:30, from 12:45 to 13:40, from 14:45 to 15:25\nThursday: Free only at the following times: from 9:00 to 9:15, from 10:30 to 11:35, from 11:55 to 12:55, from 13:25 to 17:00\nFriday: Free only at the following times: from 9:40 to 10:35, from 11:00 to 12:05, from 12:15 to 13:45, from 15:00 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:00, from 12:10 to 13:05, from 13:20 to 14:20\nTuesday: Free only at the following times: from 9:00 to 10:15, from 11:25 to 11:55, from 13:00 to 14:05, from 14:40 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:55, from 10:55 to 11:55, from 12:25 to 13:25\nThursday: Free only at the following times: from 10:05 to 10:50, from 12:15 to 17:00\nFriday: Free only at the following times: anytime before 10:30, from 11:50 to 12:25, from 13:00 to 13:40, from 15:05 to 16:35, anytime after 16:55\n\n\nIsabella needs a break for lunch on Wednesday from 12:30 to 1:00\nVictoria can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nEve feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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    "family": "3def8173599f623d56d0e35414d0e5276b01eccd46ddca775609234d6920f0ed",
    "id": "bbeh:temporal_sequence:150",
    "request": "Isabella, Mary and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:05 to 10:40, anytime after 10:55\nTuesday: Free only at the following times: from 9:00 to 10:25, from 11:40 to 12:10, from 12:35 to 13:55, from 14:45 to 16:05, from 16:20 to 17:00\nWednesday: Free only at the following times: anytime before 10:20, from 10:55 to 11:45, from 12:05 to 12:55, from 13:10 to 14:00, from 14:55 to 17:00\nThursday: Free only at the following times: anytime before 9:45, from 10:45 to 12:15, from 12:40 to 13:55, from 14:35 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:15, from 11:15 to 12:20, from 13:50 to 14:55, from 16:10 to 16:30, from 16:50 to 17:00\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:25, from 10:55 to 12:10\nTuesday: Free only at the following times: from 9:00 to 9:15, from 9:40 to 10:45, from 11:40 to 11:40, from 12:55 to 17:00\nWednesday: Booked at the following times: from 10:25 to 11:35, from 11:55 to 12:10, from 13:15 to 14:35\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:55 to 11:10, from 11:30 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:15, from 11:25 to 12:25, from 13:35 to 14:05, from 14:20 to 14:45, from 15:20 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 11:55 to 13:10, from 13:50 to 14:20, from 15:45 to 16:00, from 16:45 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:30, from 10:35 to 10:50, from 11:00 to 12:30, from 13:00 to 13:00, from 14:25 to 17:00\nWednesday: Booked at the following times: from 9:35 to 9:45, from 10:15 to 11:45\nThursday: Free only at the following times: anytime before 9:35, from 9:50 to 10:55, from 11:10 to 11:10, anytime after 11:50\nFriday: Free only at the following times: from 9:00 to 10:30, from 11:45 to 13:05, from 14:20 to 14:35, anytime after 15:20\n\n\nIsabella prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nMary is fine to stay until 6pm to accommodate the meeting\nNancy can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  {
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    "family": "33081a78e0337221a3f8e18bbb18f314e99881d036edfce5737bb30d74006fa7",
    "id": "bbeh:temporal_sequence:151",
    "request": "Isabella, Mary, Lisa, Claire and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:45, from 12:50 to 13:30\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:40 to 12:50, from 13:05 to 13:35, from 14:45 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:45, from 11:30 to 11:55\nThursday: Free only at the following times: from 9:00 to 9:10, from 9:35 to 10:00, from 10:20 to 11:50, from 13:00 to 13:05, anytime after 14:10\nFriday: Free only at the following times: from 9:00 to 10:20, from 10:40 to 11:30, from 11:45 to 12:05, from 12:35 to 17:00\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:55, from 11:45 to 13:05, from 14:25 to 15:35\nTuesday: Free only at the following times: from 9:00 to 9:40, from 10:45 to 10:50, from 11:45 to 17:00\nWednesday: Free only at the following times: from 9:40 to 10:50, from 12:15 to 12:40, from 13:55 to 14:50, from 14:55 to 17:00\nThursday: Free only at the following times: anytime before 9:10, from 9:40 to 10:15, from 11:25 to 11:40, anytime after 12:20\nFriday: Booked at the following times: from 9:25 to 10:15, from 11:10 to 12:30, from 13:30 to 14:45\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 11:45 to 12:40, from 13:15 to 14:30, from 15:15 to 15:45, from 16:20 to 17:00\nTuesday: Booked at the following times: from 9:20 to 10:25, from 11:20 to 12:25, from 13:05 to 13:40\nWednesday: Booked at the following times: from 9:45 to 11:00, from 12:30 to 13:00, from 13:20 to 14:15\nThursday: Booked at the following times: from 10:00 to 10:35, from 11:10 to 11:15, from 12:45 to 12:50\nFriday: Booked at the following times: anytime before 9:15, from 9:30 to 10:50, from 11:00 to 11:15\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 10:35, from 11:25 to 12:20, from 13:45 to 14:15\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:30 to 9:40, from 9:45 to 17:00\nWednesday: Free only at the following times: anytime before 9:55, from 10:50 to 12:10, from 13:30 to 14:05, from 15:25 to 17:00\nThursday: Free only at the following times: anytime before 10:00, from 11:25 to 11:45, from 13:00 to 13:25, anytime after 14:25\nFriday: Free only at the following times: anytime before 9:45, from 10:45 to 11:30, from 12:50 to 13:35, anytime after 14:05\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:20, from 12:10 to 12:55\nTuesday: Booked at the following times: from 10:00 to 10:20, from 11:25 to 11:40, from 12:20 to 12:55\nWednesday: Booked at the following times: from 10:05 to 11:35, from 12:40 to 13:55\nThursday: Booked at the following times: from 9:25 to 10:20, from 10:45 to 11:20, from 12:40 to 13:30\nFriday: Free only at the following times: anytime before 9:05, from 9:30 to 10:20, from 10:55 to 11:45, anytime after 13:00\n\n\nIsabella needs a break for lunch on Wednesday from 12:30 to 1:00\nMary is fine to stay until 6pm to accommodate the meeting\nLisa prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nRachel is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "role": "final",
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  },
  {
    "dataset": "bbeh",
    "family": "22684d7a434d28a549106eef26ad8d9ce13a256ba4d1f7b06e052bdbc2da47d5",
    "id": "bbeh:temporal_sequence:158",
    "request": "Isabella, Victoria, Alice and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:00 to 10:15, from 11:05 to 11:40\nTuesday: Booked at the following times: from 10:20 to 11:30, from 13:00 to 13:05\nWednesday: Free only at the following times: anytime before 10:30, from 11:40 to 12:05, from 13:25 to 14:55, from 16:00 to 16:45\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:20 to 11:45, from 12:30 to 13:25, from 14:30 to 15:20, anytime after 15:55\nFriday: Free only at the following times: anytime before 9:10, from 9:20 to 10:50, from 11:15 to 12:35, from 12:55 to 14:05, anytime after 14:25\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:00 to 11:45, from 12:25 to 13:55, anytime after 14:25\nTuesday: Booked at the following times: from 9:10 to 9:15, from 10:45 to 11:15, from 12:40 to 13:30, from 14:30 to 15:20\nWednesday: Free only at the following times: anytime before 9:45, from 10:10 to 10:20, from 11:50 to 12:40, from 14:10 to 17:00\nThursday: Booked at the following times: from 9:30 to 10:45, from 11:50 to 12:55, from 13:10 to 14:05\nFriday: Free only at the following times: anytime before 9:25, from 10:50 to 12:10, from 13:35 to 14:30, from 15:25 to 15:35, anytime after 16:55\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:00, from 10:40 to 11:35, from 12:15 to 12:15, anytime after 12:30\nTuesday: Booked at the following times: from 9:25 to 10:35, from 10:35 to 12:05, from 12:25 to 13:05, from 13:45 to 13:50\nWednesday: Free only at the following times: anytime before 9:25, from 10:10 to 10:50, from 12:20 to 13:40, from 14:50 to 16:05, anytime after 16:35\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:20 to 11:30, from 13:00 to 13:05, anytime after 14:00\nFriday: Free only at the following times: anytime before 9:20, from 9:55 to 10:35, from 11:30 to 12:05, from 13:35 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 11:00, from 11:05 to 11:35, from 12:45 to 14:05, from 15:10 to 15:50\nTuesday: Booked at the following times: from 9:10 to 9:30, from 9:45 to 10:25, from 11:20 to 12:40, from 14:05 to 14:20\nWednesday: Free only at the following times: anytime before 10:30, from 11:00 to 11:50, from 12:00 to 17:00\nThursday: Booked at the following times: from 9:05 to 10:25, from 10:30 to 11:05\nFriday: Booked at the following times: from 9:25 to 9:35, from 10:20 to 10:55, from 12:00 to 13:05, from 13:40 to 14:35\n\n\nIsabella is flexible to miss (at most) 10 minutes of the meeting\nVictoria feels tired late in the day and requires the meeting to end before 4pm\nAlice is fine to stay until 6pm to accommodate the meeting\nEmma is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "6f3c086aa7b21e1a2f03ebff4978814e1615cb279eec08ebe92f1a1cd3d66827",
    "id": "bbeh:temporal_sequence:163",
    "request": "Alice, Claire, Sophia, Sarah, Charlotte and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:05, from 11:30 to 12:40, from 13:55 to 14:25\nTuesday: Booked at the following times: from 9:55 to 11:10, from 11:15 to 12:05, from 12:25 to 13:40\nWednesday: Free only at the following times: from 9:00 to 9:25, from 10:15 to 11:10, from 12:15 to 12:45, from 13:45 to 17:00\nThursday: Free only at the following times: anytime before 9:40, from 10:00 to 10:20, from 10:30 to 11:15, from 12:15 to 13:20, from 14:45 to 17:00\nFriday: Booked at the following times: from 9:50 to 10:25, from 10:55 to 11:20, from 11:20 to 12:20\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:55, from 10:00 to 11:20, from 12:00 to 13:15, from 14:25 to 15:25, anytime after 15:55\nTuesday: Booked at the following times: from 9:25 to 10:15, from 10:50 to 11:45, from 11:55 to 13:10, from 13:50 to 15:20\nWednesday: Booked at the following times: from 9:25 to 9:45, from 11:10 to 11:40, from 12:35 to 13:55, from 14:40 to 15:25\nThursday: Free only at the following times: anytime before 10:25, from 11:55 to 12:55, from 13:20 to 14:45, anytime after 14:55\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:00 to 12:15, from 13:10 to 13:35, from 14:50 to 16:05, from 16:35 to 17:00\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:50, from 11:50 to 12:35, from 13:10 to 14:40\nTuesday: Booked at the following times: from 10:15 to 11:25, from 11:45 to 12:40, from 14:10 to 15:10, from 15:55 to 16:00\nWednesday: Booked at the following times: from 9:40 to 11:05, from 12:05 to 12:15, from 12:30 to 12:35\nThursday: Free only at the following times: from 9:00 to 10:05, from 11:10 to 12:15, from 12:35 to 13:25, from 14:40 to 17:00\nFriday: Free only at the following times: anytime before 9:55, from 10:25 to 10:30, anytime after 11:45\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:00, from 11:20 to 12:45, from 13:30 to 17:00\nTuesday: Booked at the following times: from 9:55 to 10:50, from 10:50 to 11:45, from 13:00 to 13:30, from 14:30 to 14:55\nWednesday: Free only at the following times: anytime before 9:05, from 10:20 to 10:20, from 11:10 to 11:55, anytime after 12:55\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:30 to 11:00, from 11:30 to 11:50, anytime after 12:15\nFriday: Booked at the following times: from 9:10 to 9:50, from 9:55 to 10:40\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:30, from 12:15 to 12:20, from 12:20 to 13:25\nTuesday: Free only at the following times: anytime before 10:25, from 10:40 to 10:40, from 11:05 to 11:05, from 12:20 to 17:00\nWednesday: Free only at the following times: anytime before 9:50, from 10:20 to 11:40, from 13:10 to 13:35, from 14:45 to 14:45, anytime after 15:45\nThursday: Booked at the following times: from 9:50 to 11:00, from 12:05 to 12:25, from 12:50 to 13:25\nFriday: Booked at the following times: from 10:25 to 10:50, from 12:05 to 12:25, from 12:45 to 13:40\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 11:05 to 11:35, from 12:55 to 13:25, from 14:05 to 15:30, from 15:40 to 17:00\nTuesday: Booked at the following times: from 10:15 to 11:00, from 11:25 to 12:30\nWednesday: Free only at the following times: from 9:50 to 10:15, anytime after 11:05\nThursday: Free only at the following times: anytime before 9:50, from 10:35 to 11:10, from 12:10 to 17:00\nFriday: Booked at the following times: from 9:50 to 10:20, from 11:30 to 12:05, from 13:25 to 14:20\n\n\nAlice is flexible to miss (at most) 10 minutes of the meeting\nClaire is fine to stay until 6pm to accommodate the meeting\nSophia is flexible to miss the last (at most) 10 minutes of the meeting\nSarah prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nCharlotte asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nKaren needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
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  },
  {
    "dataset": "bbeh",
    "family": "fbc177e77d2e077e74faf820a9f4bd4a86dc8e1227b82dec33590f309682186d",
    "id": "bbeh:temporal_sequence:176",
    "request": "Alice, Victoria, Emma, Nancy, Amelia and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:45 to 10:30, anytime after 11:45\nTuesday: Booked at the following times: from 9:55 to 11:00, from 12:10 to 13:10, from 13:45 to 14:10\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:35 to 12:55, from 13:00 to 13:35, from 15:00 to 16:15, anytime after 16:25\nThursday: Free only at the following times: anytime before 9:55, from 10:00 to 11:20, from 11:55 to 12:20, from 12:50 to 13:40, anytime after 14:35\nFriday: Free only at the following times: from 9:00 to 9:15, from 9:50 to 10:50, from 11:10 to 12:25, anytime after 12:50\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:20, from 11:40 to 12:45, from 13:25 to 14:30\nTuesday: Free only at the following times: anytime before 9:45, from 10:15 to 11:00, from 11:45 to 12:55, from 14:05 to 15:20, from 16:30 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:15, from 10:55 to 12:05, from 12:25 to 13:15, from 13:20 to 14:50, anytime after 16:05\nThursday: Booked at the following times: from 9:00 to 10:00, from 11:25 to 11:45, from 12:00 to 13:20, from 14:40 to 14:50\nFriday: Free only at the following times: anytime before 9:30, from 9:40 to 10:40, from 11:30 to 12:00, from 12:45 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:05 to 11:05, from 11:20 to 11:55, anytime after 13:25\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:20 to 11:10, from 12:30 to 13:10, from 13:30 to 17:00\nWednesday: Booked at the following times: anytime before 9:30, from 10:20 to 11:25, from 12:05 to 13:05\nThursday: Free only at the following times: anytime before 10:10, from 10:40 to 11:35, anytime after 12:15\nFriday: Free only at the following times: from 9:00 to 9:50, from 10:35 to 10:45, from 12:05 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 11:00, from 12:10 to 12:30, from 12:45 to 17:00\nTuesday: Booked at the following times: from 9:35 to 10:45, from 11:25 to 12:35, from 14:05 to 15:25, from 15:40 to 16:45\nWednesday: Booked at the following times: from 10:20 to 10:50, from 11:55 to 12:15, from 13:45 to 14:30, from 15:05 to 15:50\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:30 to 10:40, from 11:35 to 12:55, anytime after 14:25\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:55 to 12:00, from 13:00 to 14:15, from 14:25 to 15:15, from 15:50 to 17:00\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:55, from 11:15 to 11:45, from 13:10 to 13:30, anytime after 15:00\nTuesday: Booked at the following times: from 10:10 to 11:15, from 12:40 to 14:10\nWednesday: Booked at the following times: from 9:40 to 9:45, from 10:50 to 11:15, from 12:45 to 14:05, from 14:30 to 14:50\nThursday: Free only at the following times: from 9:00 to 10:30, from 10:50 to 12:15, from 12:30 to 17:00\nFriday: Booked at the following times: from 10:15 to 10:50, from 10:50 to 11:45, from 13:10 to 14:10, from 15:40 to 16:20\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 10:55 to 11:30, from 11:50 to 12:05, from 12:55 to 17:00\nTuesday: Free only at the following times: anytime before 10:05, from 11:25 to 12:40, anytime after 13:55\nWednesday: Booked at the following times: from 9:50 to 10:15, from 10:50 to 12:20, from 13:30 to 14:50, from 15:20 to 15:55\nThursday: Booked at the following times: from 9:40 to 10:15, from 11:00 to 11:25\nFriday: Booked at the following times: from 9:35 to 10:35, from 10:55 to 11:50\n\n\nAlice is in a timezone that is one hour ahead of other participants\nVictoria is flexible to miss the last (at most) 10 minutes of the meeting\nEmma is flexible to miss (at most) 10 minutes of the meeting\nNancy asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAmelia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nClaire can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
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    "family": "96484af691bac2c07a76f1ec7d50fd57ccfbb74140cb591abc6d7bc3c6f1e117",
    "id": "bbeh:temporal_sequence:177",
    "request": "Lisa, Claire, Isabella and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:25, from 10:25 to 11:20, from 11:20 to 12:35, from 13:45 to 14:10\nTuesday: Booked at the following times: from 9:10 to 9:15, from 10:20 to 11:15, from 12:35 to 14:00, from 14:05 to 15:20\nWednesday: Booked at the following times: from 10:15 to 10:55, from 11:30 to 12:20, from 13:05 to 13:15, from 13:20 to 14:30\nThursday: Booked at the following times: from 9:15 to 10:30, from 10:45 to 12:10\nFriday: Booked at the following times: from 9:00 to 9:40, from 9:40 to 9:50, from 10:30 to 12:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:10, from 12:05 to 12:20, from 12:40 to 13:45\nTuesday: Booked at the following times: from 9:10 to 10:40, from 11:55 to 12:40\nWednesday: Free only at the following times: from 9:00 to 9:35, from 10:30 to 11:10, from 12:35 to 13:35, from 13:50 to 14:15, anytime after 15:20\nThursday: Booked at the following times: from 9:35 to 10:40, from 11:00 to 11:50, from 13:05 to 14:15\nFriday: Booked at the following times: from 9:25 to 10:45, from 11:50 to 12:10, from 13:35 to 13:50, from 14:30 to 14:35\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:25, from 11:25 to 12:30\nTuesday: Booked at the following times: from 10:25 to 10:40, from 11:45 to 13:15\nWednesday: Booked at the following times: from 10:25 to 11:10, from 12:05 to 13:15, from 14:05 to 15:25\nThursday: Free only at the following times: anytime before 10:05, from 10:50 to 12:10, from 13:05 to 13:20, anytime after 14:30\nFriday: Booked at the following times: from 9:15 to 9:55, from 10:40 to 12:05\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 10:15, from 11:35 to 12:40\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:15 to 12:30, from 13:45 to 17:00\nWednesday: Free only at the following times: anytime before 9:50, from 10:25 to 11:45, from 12:40 to 12:40, from 13:50 to 17:00\nThursday: Booked at the following times: from 9:25 to 10:25, from 11:35 to 12:50\nFriday: Booked at the following times: from 9:35 to 10:10, from 10:45 to 11:05, from 11:25 to 12:55, from 13:10 to 14:15\n\n\nLisa is in a timezone that is one hour ahead of other participants\nClaire is flexible to miss the last (at most) 10 minutes of the meeting\nIsabella prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nMary can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
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    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "4c162e095ab993ffef3217cbd779914db3d81edbeaa790085aa03ad7a38661f2",
    "id": "bbeh:temporal_sequence:180",
    "request": "Alice, Sophia and Lisa work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:50 to 12:00, anytime after 13:20\nTuesday: Booked at the following times: from 9:25 to 10:40, from 10:40 to 11:35, from 11:35 to 12:30\nWednesday: Free only at the following times: from 9:00 to 10:05, from 10:45 to 11:45, from 12:25 to 12:55, from 13:05 to 14:05, from 14:30 to 17:00\nThursday: Booked at the following times: from 10:20 to 10:30, from 11:45 to 12:40\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:15 to 11:05, from 11:55 to 12:05, from 13:30 to 13:55, from 14:40 to 17:00\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 11:15, from 11:40 to 13:05, from 14:25 to 15:05, from 16:05 to 16:40\nTuesday: Booked at the following times: from 10:20 to 10:25, from 11:30 to 12:35, from 13:25 to 14:15, from 15:10 to 15:45\nWednesday: Booked at the following times: from 9:55 to 10:15, from 11:35 to 12:55, from 13:45 to 15:15, from 15:50 to 16:25\nThursday: Free only at the following times: from 9:00 to 9:05, from 10:20 to 10:20, from 11:35 to 12:30, from 12:50 to 17:00\nFriday: Booked at the following times: from 10:10 to 11:35, from 13:00 to 13:40, from 14:05 to 14:40, from 15:50 to 16:25\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:35 to 12:05, anytime after 12:35\nTuesday: Free only at the following times: anytime before 9:45, from 10:10 to 10:30, from 11:00 to 12:05, from 12:30 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 10:00, from 11:15 to 12:05, from 12:55 to 13:00, anytime after 13:20\nThursday: Free only at the following times: anytime before 9:45, from 10:15 to 11:25, from 12:50 to 13:35, from 14:40 to 14:55, anytime after 15:25\nFriday: Free only at the following times: from 9:00 to 9:20, from 9:55 to 10:35, from 11:10 to 12:10, anytime after 13:10\n\n\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nSophia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLisa is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "9290d2713fc8c9d19f2908e134a98690aa5c989d4e222a17f1cb2a29233303d2",
    "id": "bbeh:temporal_sequence:181",
    "request": "Yolanda, Ava and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 11:05, from 11:25 to 12:05\nTuesday: Booked at the following times: from 9:30 to 10:40, from 11:30 to 12:30, from 13:00 to 13:25, from 13:55 to 14:20\nWednesday: Free only at the following times: anytime before 10:20, from 11:40 to 12:10, from 12:20 to 12:45, from 13:15 to 14:25, from 15:45 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:30, from 10:35 to 12:05, anytime after 13:25\nFriday: Booked at the following times: anytime before 9:25, from 10:10 to 11:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:30, from 10:45 to 11:00, from 11:30 to 12:10\nTuesday: Booked at the following times: from 9:05 to 9:10, from 10:10 to 10:35\nWednesday: Free only at the following times: anytime before 10:20, from 10:45 to 11:30, from 12:35 to 12:35, anytime after 13:10\nThursday: Free only at the following times: from 9:00 to 9:10, from 10:35 to 12:05, from 12:25 to 12:55, from 13:15 to 14:00, anytime after 15:30\nFriday: Free only at the following times: anytime before 10:20, from 11:20 to 11:50, anytime after 12:35\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:30, from 10:30 to 10:35, from 11:50 to 13:20, from 13:40 to 14:30\nTuesday: Booked at the following times: from 9:50 to 11:05, from 12:15 to 13:35, from 13:50 to 15:10\nWednesday: Booked at the following times: from 9:10 to 10:15, from 10:25 to 11:05\nThursday: Booked at the following times: from 10:20 to 11:10, from 12:05 to 13:10, from 13:20 to 13:50\nFriday: Free only at the following times: anytime before 9:55, from 11:00 to 11:25, anytime after 12:10\n\n\nYolanda asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAva feels tired late in the day and requires the meeting to end before 4pm\nMary is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "bd848543d7016036089db141232a7f07614a01af2b96c5d8f812da0df5b9bd20",
    "id": "bbeh:temporal_sequence:182",
    "request": "Eve, Alice, Mary and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 9:30 to 10:10, from 11:35 to 11:45, from 12:25 to 13:20, anytime after 14:25\nTuesday: Booked at the following times: from 10:00 to 10:45, from 11:45 to 12:35\nWednesday: Free only at the following times: from 10:05 to 10:10, from 10:30 to 10:55, anytime after 12:10\nThursday: Booked at the following times: from 9:40 to 9:55, from 10:05 to 11:10\nFriday: Booked at the following times: from 10:05 to 10:25, from 11:25 to 11:30, from 12:35 to 12:45\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 11:20, from 11:45 to 13:05, from 13:10 to 14:25\nTuesday: Free only at the following times: from 10:05 to 11:00, from 11:10 to 12:35, anytime after 13:05\nWednesday: Free only at the following times: anytime before 9:20, from 10:20 to 11:20, from 11:35 to 11:40, from 12:25 to 17:00\nThursday: Free only at the following times: anytime before 10:10, from 10:55 to 11:35, from 11:55 to 13:05, from 14:25 to 17:00\nFriday: Booked at the following times: from 9:30 to 10:35, from 11:35 to 12:50, from 13:15 to 13:50, from 14:55 to 16:10\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 10:40 to 11:40, from 12:35 to 13:20, from 13:25 to 17:00\nTuesday: Booked at the following times: from 9:20 to 9:55, from 10:10 to 10:25, from 11:25 to 11:55, from 11:55 to 12:20\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:25 to 11:55, from 12:30 to 13:45, anytime after 14:05\nThursday: Free only at the following times: from 9:00 to 10:05, from 10:10 to 11:10, anytime after 12:00\nFriday: Booked at the following times: from 9:35 to 10:00, from 11:15 to 12:30, from 12:35 to 13:35\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 10:45 to 11:20, from 11:45 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:20, from 12:10 to 12:15, from 13:10 to 13:15\nWednesday: Booked at the following times: from 9:45 to 9:55, from 11:10 to 11:30\nThursday: Free only at the following times: from 9:00 to 10:10, from 11:30 to 13:00, from 14:00 to 14:10, from 14:25 to 15:15, from 16:10 to 17:00\nFriday: Free only at the following times: anytime before 10:15, from 11:30 to 13:00, from 13:10 to 17:00\n\n\nEve is flexible to miss (at most) 10 minutes of the meeting\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nMary is in a timezone that is one hour ahead of other participants\nOlivia is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "816c559df8771f86c68a4de85034f5583ac9c97fd0bced77e338f7ad91ee890e",
    "id": "bbeh:temporal_sequence:184",
    "request": "Zoey, Lisa, Isabella, Claire and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 10:40 to 11:50, from 12:00 to 13:05, from 13:50 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:00, from 11:20 to 12:20, from 12:50 to 13:45, from 14:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 9:25 to 10:20, from 10:25 to 11:50, from 13:20 to 13:25, from 13:30 to 17:00\nThursday: Booked at the following times: from 10:15 to 11:10, from 11:50 to 12:55, from 13:35 to 15:05\nFriday: Free only at the following times: anytime before 9:35, from 10:45 to 11:15, from 11:20 to 11:20, from 11:55 to 13:20, from 13:40 to 17:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:20, from 10:25 to 11:25\nTuesday: Free only at the following times: from 9:00 to 9:10, from 10:30 to 11:05, from 12:20 to 17:00\nWednesday: Booked at the following times: from 10:30 to 11:35, from 12:10 to 12:40\nThursday: Free only at the following times: anytime before 10:15, from 11:45 to 11:55, from 13:15 to 17:00\nFriday: Booked at the following times: from 10:30 to 11:50, from 11:50 to 12:35, from 13:50 to 14:55\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:25, from 11:05 to 11:10, from 11:45 to 12:40\nTuesday: Booked at the following times: from 10:25 to 11:00, from 11:10 to 11:15, from 11:45 to 12:00, from 12:35 to 12:40\nWednesday: Free only at the following times: from 9:00 to 9:45, from 10:30 to 11:30, from 12:40 to 13:10, from 14:00 to 15:30\nThursday: Booked at the following times: from 9:25 to 10:10, from 10:25 to 10:35, from 11:10 to 12:40\nFriday: Booked at the following times: from 9:20 to 9:40, from 10:50 to 11:50, from 13:00 to 13:15, from 14:30 to 14:50\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:45, from 11:00 to 11:55, from 12:40 to 14:05\nTuesday: Booked at the following times: from 10:25 to 11:05, from 12:25 to 13:10\nWednesday: Booked at the following times: from 10:15 to 11:25, from 12:10 to 13:00, from 14:30 to 15:50\nThursday: Booked at the following times: from 9:40 to 11:05, from 11:30 to 11:50\nFriday: Booked at the following times: from 9:00 to 9:20, from 9:50 to 11:10\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:00 to 9:55, from 10:00 to 10:05, from 11:35 to 12:05, from 13:25 to 13:50\nTuesday: Booked at the following times: from 9:25 to 9:50, from 10:00 to 10:10, from 11:30 to 11:55, from 11:55 to 12:10\nWednesday: Free only at the following times: anytime before 9:55, from 10:10 to 11:25, from 12:20 to 12:45, anytime after 14:10\nThursday: Booked at the following times: from 9:10 to 10:15, from 11:40 to 12:10, from 13:00 to 13:55\nFriday: Booked at the following times: from 9:45 to 10:35, from 10:40 to 12:00\n\n\nZoey is flexible to miss the last (at most) 10 minutes of the meeting\nLisa needs a break for lunch on Wednesday from 12:30 to 1:00\nIsabella is fine to stay until 6pm to accommodate the meeting\nClaire prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "e87641ad0c1b6d2b71232fe87a77d5cde11d21c7422f5217e8bcffb6159ff717",
    "id": "bbeh:temporal_sequence:187",
    "request": "Victoria, Yolanda, Olivia and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:15 to 10:50, anytime after 11:05\nTuesday: Booked at the following times: from 10:20 to 10:45, from 11:25 to 11:30, from 12:50 to 13:40, from 14:40 to 16:05\nWednesday: Free only at the following times: anytime before 9:40, from 10:50 to 12:10, from 12:40 to 12:55, from 13:40 to 17:00\nThursday: Booked at the following times: from 9:50 to 11:15, from 11:25 to 11:35\nFriday: Booked at the following times: from 9:05 to 10:10, from 10:10 to 10:30, from 11:00 to 12:20\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 11:05, from 12:35 to 13:00\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:35 to 12:55, from 13:25 to 14:50, anytime after 15:15\nWednesday: Free only at the following times: from 9:00 to 10:30, from 12:00 to 12:20, from 13:30 to 14:05, from 15:35 to 17:00\nThursday: Booked at the following times: from 9:35 to 10:55, from 11:10 to 11:30\nFriday: Free only at the following times: anytime before 9:40, from 10:20 to 11:40, from 13:10 to 13:45, from 15:05 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:15 to 12:10, from 12:55 to 13:45, from 14:35 to 15:45, from 16:00 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:20, from 11:15 to 12:05, anytime after 12:25\nWednesday: Free only at the following times: anytime before 9:20, from 10:15 to 11:00, from 11:40 to 12:40, from 14:05 to 15:10, from 16:05 to 17:00\nThursday: Booked at the following times: from 10:05 to 11:05, from 11:40 to 12:45\nFriday: Free only at the following times: anytime before 10:10, from 10:20 to 11:00, from 12:20 to 12:30, from 13:15 to 17:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:20, from 10:20 to 11:15, from 12:15 to 12:25\nTuesday: Free only at the following times: anytime before 9:25, from 10:05 to 11:15, from 12:25 to 17:00\nWednesday: Booked at the following times: from 9:25 to 9:55, from 10:05 to 11:00\nThursday: Booked at the following times: from 10:10 to 11:15, from 12:45 to 13:55, from 14:50 to 16:10, from 16:55 to 17:00\nFriday: Free only at the following times: anytime before 9:45, from 10:15 to 10:20, from 10:50 to 11:10, from 11:45 to 17:00\n\n\nVictoria is flexible to miss the last (at most) 10 minutes of the meeting\nYolanda is fine to stay until 6pm to accommodate the meeting\nOlivia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nSarah needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "685693c6633f02a856a59d3727160b794d82df96655d00dbbd11ceaa6dede414",
    "id": "bbeh:temporal_sequence:188",
    "request": "Karen, Nancy and Lisa work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:35, from 11:25 to 11:50, from 12:15 to 12:50\nTuesday: Booked at the following times: from 9:25 to 10:05, from 11:20 to 12:25\nWednesday: Free only at the following times: anytime before 9:15, from 9:30 to 10:30, anytime after 11:20\nThursday: Booked at the following times: from 10:20 to 11:15, from 12:00 to 12:40\nFriday: Free only at the following times: anytime before 9:50, from 10:05 to 11:10, from 12:10 to 13:35, from 13:50 to 14:20, from 15:35 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:15, from 12:15 to 13:25\nTuesday: Booked at the following times: from 10:25 to 11:45, from 12:40 to 13:50, from 14:45 to 16:10\nWednesday: Free only at the following times: anytime before 9:15, from 10:35 to 11:30, from 11:55 to 12:20, from 13:15 to 17:00\nThursday: Booked at the following times: from 9:20 to 10:05, from 10:10 to 11:05, from 11:25 to 11:55, from 12:40 to 13:55\nFriday: Booked at the following times: from 10:00 to 11:30, from 11:50 to 13:10, from 13:45 to 13:50, from 15:20 to 15:45\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 10:45 to 11:05, from 11:25 to 11:25, from 12:15 to 12:30, anytime after 12:50\nTuesday: Booked at the following times: from 9:30 to 10:45, from 10:55 to 12:20, from 13:10 to 14:40, from 14:40 to 15:25\nWednesday: Booked at the following times: from 10:25 to 11:10, from 11:35 to 12:30\nThursday: Booked at the following times: from 10:30 to 10:45, from 12:05 to 12:45, from 12:55 to 13:30\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:10 to 12:10, anytime after 13:10\n\n\nKaren feels tired late in the day and requires the meeting to end before 4pm\nNancy needs a break for lunch on Wednesday from 12:30 to 1:00\nLisa is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "aca369c4ba7f578a4c7d7758890d6e842dd82bb2fbcd27cb0464d0eb79d1fbf2",
    "id": "bbeh:temporal_sequence:190",
    "request": "Victoria, Alice, Karen, Rachel, Sarah and Lisa work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:30, from 12:40 to 13:45\nTuesday: Free only at the following times: anytime before 10:10, from 10:15 to 11:40, from 12:05 to 12:30, anytime after 13:35\nWednesday: Booked at the following times: anytime before 9:20, from 10:10 to 10:55, from 11:15 to 12:00\nThursday: Booked at the following times: from 9:15 to 10:40, from 12:00 to 13:20, from 13:40 to 13:50\nFriday: Free only at the following times: anytime before 10:05, from 10:15 to 10:55, anytime after 11:45\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 11:05, from 11:50 to 12:55, anytime after 13:35\nTuesday: Free only at the following times: anytime before 10:30, from 10:40 to 11:55, anytime after 12:50\nWednesday: Booked at the following times: from 9:00 to 9:55, from 11:15 to 12:15, from 12:30 to 13:25\nThursday: Free only at the following times: anytime before 10:25, from 10:35 to 10:45, from 10:55 to 12:10, from 13:30 to 13:45, anytime after 14:25\nFriday: Free only at the following times: from 9:00 to 9:30, from 9:45 to 11:15, anytime after 12:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:40, from 12:30 to 13:05\nTuesday: Booked at the following times: from 9:45 to 11:00, from 12:10 to 12:30\nWednesday: Free only at the following times: anytime before 10:30, from 12:00 to 13:05, from 14:25 to 15:05, from 16:00 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:15, from 11:15 to 12:10, from 12:40 to 13:45, from 14:20 to 15:10, anytime after 15:35\nFriday: Free only at the following times: from 9:00 to 9:15, from 10:05 to 11:15, from 12:05 to 13:35, from 13:55 to 14:55, anytime after 15:05\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:00, from 10:30 to 11:20, from 12:05 to 12:35, from 13:10 to 13:25\nTuesday: Free only at the following times: anytime before 9:40, from 10:00 to 10:05, from 11:20 to 12:20, from 13:05 to 14:15, anytime after 15:25\nWednesday: Free only at the following times: anytime before 9:35, from 10:35 to 12:05, from 13:30 to 14:05, from 14:50 to 15:05, anytime after 15:20\nThursday: Free only at the following times: anytime before 10:15, from 11:15 to 12:10, from 12:45 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:30 to 12:00, anytime after 12:55\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:35, from 12:45 to 14:10, from 14:15 to 15:45\nTuesday: Free only at the following times: anytime before 10:30, from 11:05 to 11:45, from 12:50 to 17:00\nWednesday: Booked at the following times: from 9:05 to 9:20, from 10:45 to 11:40, from 11:50 to 12:40\nThursday: Free only at the following times: from 9:00 to 9:25, from 10:20 to 11:25, anytime after 11:40\nFriday: Booked at the following times: from 10:00 to 11:20, from 12:40 to 13:05, from 13:15 to 13:30, from 14:05 to 15:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:10, from 11:25 to 11:45, from 12:30 to 13:50\nTuesday: Free only at the following times: from 9:00 to 9:25, from 10:05 to 11:10, anytime after 12:35\nWednesday: Booked at the following times: from 9:05 to 9:10, from 9:30 to 10:10, from 10:15 to 11:10, from 11:10 to 11:30\nThursday: Booked at the following times: from 9:30 to 9:45, from 9:55 to 10:40\nFriday: Booked at the following times: from 9:30 to 10:35, from 11:50 to 12:15, from 13:40 to 15:00\n\n\nVictoria feels tired late in the day and requires the meeting to end before 4pm\nAlice can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nKaren is flexible to miss (at most) 10 minutes of the meeting\nRachel is fine to stay until 6pm to accommodate the meeting\nSarah is in a timezone that is one hour ahead of other participants\nLisa prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "adccb889a739e3dc0213f6bd5e6cb5a762c4ad2c537db0fe97f202fc764284a7",
    "id": "bbeh:temporal_sequence:192",
    "request": "Sophia, Yolanda and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 11:10 to 12:15, anytime after 12:55\nTuesday: Free only at the following times: anytime before 9:15, from 9:30 to 10:25, from 11:05 to 11:10, from 11:40 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:15, from 10:10 to 11:05, from 12:30 to 13:25, from 13:45 to 17:00\nThursday: Booked at the following times: from 10:20 to 10:50, from 11:25 to 12:20, from 12:40 to 13:45\nFriday: Booked at the following times: from 9:15 to 10:05, from 10:20 to 11:25, from 12:25 to 13:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 10:30 to 11:00, from 11:40 to 17:00\nTuesday: Free only at the following times: anytime before 9:30, from 10:10 to 11:25, from 12:00 to 12:10, anytime after 12:35\nWednesday: Booked at the following times: from 9:45 to 10:35, from 10:50 to 11:05, from 11:25 to 12:25, from 13:10 to 13:25\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 10:10, from 10:55 to 10:55, anytime after 12:10\nFriday: Free only at the following times: anytime before 9:25, from 10:20 to 11:50, from 13:00 to 13:30, from 14:25 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:25, from 12:45 to 13:40\nTuesday: Free only at the following times: from 9:00 to 9:30, from 10:45 to 11:50, from 13:00 to 13:25, from 13:35 to 14:10, anytime after 14:40\nWednesday: Free only at the following times: from 9:00 to 9:10, from 9:45 to 9:50, from 9:55 to 10:50, from 11:10 to 12:15, anytime after 12:25\nThursday: Booked at the following times: from 9:25 to 10:20, from 11:05 to 12:35\nFriday: Booked at the following times: from 10:25 to 11:05, from 12:00 to 13:30\n\n\nSophia is flexible to miss (at most) 10 minutes of the meeting\nYolanda asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nCharlotte can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "a3832d8bc7ef287004f406f64b1954263c3ad71e9fe152df209a5883c53bfe6b",
    "id": "bbeh:temporal_sequence:193",
    "request": "Lisa, Zoey, Emma, Yolanda, Rachel and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:50, from 11:45 to 12:00\nTuesday: Free only at the following times: anytime before 10:00, from 11:25 to 12:50, from 14:05 to 15:30, from 16:40 to 16:50\nWednesday: Booked at the following times: from 9:45 to 10:15, from 11:10 to 12:20\nThursday: Booked at the following times: from 9:35 to 11:00, from 11:25 to 12:10, from 12:25 to 12:35, from 13:45 to 13:55\nFriday: Free only at the following times: from 9:00 to 9:15, from 10:25 to 10:55, from 11:05 to 12:35, from 12:55 to 17:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:00, from 11:30 to 12:05, from 13:30 to 14:20\nTuesday: Free only at the following times: from 9:00 to 10:25, from 11:55 to 12:55, from 13:40 to 14:05, anytime after 15:10\nWednesday: Free only at the following times: from 10:00 to 11:25, from 11:50 to 17:00\nThursday: Free only at the following times: anytime before 10:00, from 10:25 to 10:45, from 11:05 to 11:10, from 12:10 to 12:40, from 13:30 to 17:00\nFriday: Free only at the following times: anytime before 9:55, from 10:05 to 11:25, anytime after 11:55\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 10:45, from 11:45 to 12:10, from 13:35 to 14:25, from 14:40 to 15:05\nTuesday: Booked at the following times: from 9:05 to 10:30, from 10:55 to 12:00, from 13:15 to 13:35\nWednesday: Free only at the following times: anytime before 10:10, from 11:30 to 11:45, from 12:10 to 17:00\nThursday: Booked at the following times: from 10:10 to 11:10, from 11:30 to 12:35, from 13:00 to 13:10\nFriday: Free only at the following times: anytime before 10:10, from 11:10 to 12:25, from 13:05 to 14:30, from 14:45 to 15:45, from 16:45 to 17:00\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:50, from 11:10 to 11:25, from 12:30 to 13:50, from 13:55 to 15:10\nTuesday: Free only at the following times: from 10:25 to 10:50, from 11:50 to 12:50, from 14:00 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:10, from 11:05 to 11:45, from 11:55 to 12:45, from 13:10 to 13:35\nThursday: Booked at the following times: from 10:15 to 11:10, from 11:25 to 11:35, from 12:55 to 14:05\nFriday: Free only at the following times: anytime before 9:10, from 9:40 to 9:40, anytime after 10:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:50 to 12:05, from 13:10 to 14:10, anytime after 15:15\nTuesday: Booked at the following times: from 10:15 to 10:45, from 11:20 to 11:45, from 11:55 to 12:05, from 13:15 to 14:10\nWednesday: Free only at the following times: from 9:00 to 9:25, from 10:30 to 11:20, from 11:25 to 12:05, from 13:25 to 13:35, anytime after 14:00\nThursday: Booked at the following times: from 9:15 to 10:20, from 11:10 to 11:50, from 13:15 to 13:45\nFriday: Free only at the following times: anytime before 10:10, from 11:10 to 11:40, from 11:45 to 12:00, anytime after 12:05\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:20, from 10:30 to 11:45, from 11:45 to 11:50\nTuesday: Free only at the following times: anytime before 9:20, from 9:45 to 10:45, from 11:55 to 12:20, from 13:15 to 13:30, from 14:00 to 17:00\nWednesday: Booked at the following times: from 9:05 to 10:15, from 11:15 to 11:45, from 11:55 to 12:40, from 13:25 to 14:25\nThursday: Booked at the following times: from 9:45 to 10:05, from 11:15 to 12:40\nFriday: Free only at the following times: from 9:00 to 9:20, from 10:35 to 11:15, from 12:15 to 13:30, from 14:30 to 17:00\n\n\nLisa can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nZoey needs a break for lunch on Wednesday from 12:30 to 1:00\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nYolanda feels tired late in the day and requires the meeting to end before 4pm\nRachel can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nMary is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "temporal_sequence"
  },
  {
    "dataset": "bbeh",
    "family": "8f8b9a6c71533145375a6be0d0585f7ced29bb6b7d6f717a93a04221cacb5f3f",
    "id": "bbeh:time_arithmetic:007",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Rachel was born on 2012-Apr-05 and Brad was born on 2013-Jan-21. How many days is Rachel older than Brad? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Elizabeth and William were born on 2022-May-17 and 2022-Oct-31 respectively. When William was 333 days old, how old was Elizabeth in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 276 and Y' = Y - 472.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on  05-Y'-2002 and really liked it. They decided to go to the same restaurant every X' days. If today is 07-24-2002, when is the next time they will go to that restaurant? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "8c68ee0d02006d624c075362db304b14b0b7cb1d033bc31ad54f91bf0d3b161f",
    "id": "bbeh:time_arithmetic:018",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 1997-04-27 (yyyy-mm-dd format) and I was born on 1994-08-27. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: If the current date in yyyy-mm-dd format is 2012-10-16 and I was born on 2010-05-05, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 17 and Y' = Y - 866.\n\nUse these values to solve Question3.\n\nQuestion3: A museum announced that every X' days, there will be a day of free entrance. The first free day was on June Y', 2010. If today is November 01, 2010, when is the next free day? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "c3c4b689362d6a61083dcd7be88840e139e8269cda3488b82f6fd2c643144d60",
    "id": "bbeh:time_arithmetic:024",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 30 July, 2013, what is the date 24 years before now? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X + 4.\n\nLet the answer to Question2 be P.\n\nQuestion2: If it is 02:16 PM on Monday , what is the day X' hours from now? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.\n\nLet Y' = Y - 4 and let P' be the day of the week 72 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the package was out for delivery Y' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week.\n\nLet Z' = Z - 1976 and let Q' be the day of the week 57 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "c09136df1bee9cf6b7c1ba0ac83db07ef85b6ef18a299caaeba8568e2c633700",
    "id": "bbeh:time_arithmetic:025",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2015-08-31 and I was born on 2012-06-30. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Alice was born on 2008-Mar-31 and Alex was born on 2009-Aug-31. Alex is M months younger than Alice. Compute M.  You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 24 and Y' = Y + 9.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on 07-Y'-2008. If today is 09-19-2008, when will he receive his next paycheck? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "23352437d70f468cd7167f8c59ccac401317736e0b794845030df12140c78383",
    "id": "bbeh:time_arithmetic:030",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 06-16-2004, what is the date 131 days from now? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 39.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Monday and my parents arrive in X' days. On what day of the week do my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 14 and let P' be the day of the week 38 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the package was out for delivery Y' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week.\n\nLet Z' = Z - 1982 and let Q' be the day of the week 23 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "03fd4de0ab1b7883455c225d339201439741715b08ef067778f0963bc17df689",
    "id": "bbeh:time_arithmetic:031",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: The average time taken to practice a song is 28 minutes and 20 seconds. Calculate the time taken to practice 21 songs at the same rate. Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X - 6, Y' = Y - 22, and Z' = Z + 29.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Amelia has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to read a chapter, on average. Amelia wants the robot to read 16 chapters. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1948, R' = R - 53, and Q' = Q - 12.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 5 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "b0c62a923b30baca27b0a49041d5eb55a025d6bc0944dcb1745d0e9d0cd0b810",
    "id": "bbeh:time_arithmetic:032",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: A concert was originally scheduled for Dec 14, 2012, but has been preponed by 369 days. What is the new concert date? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 28.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Tuesday and my parents arrived X' days ago. On what day of the week did my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 35 and let P' be the day of the week 62 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: Today is P' and my parents arrived Y' days ago. On what day of the week did my parents arrive? Your answer should be the day of the week.\n\nLet Z' = Z - 1979 and let Q' be the day of the week 40 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On a Q' before noon, Fred started studying and studied Z' hours non-stop. What day(s) of the week could it be when Fred finished studying? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "e2f4f98b6b9448086d9e4697d1e22073a7d975eaebc4d082ae8a51e4bcda2a3e",
    "id": "bbeh:time_arithmetic:036",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: If the current date in yyyy-mm-dd format is 1999-07-20 and I was born on 1989-10-24, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Rachel was born on 2006-Oct-18 and Brandon was born on 2007-Nov-18. Brandon is M months younger than Rachel. Compute M.  You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 3538 and Y' = Y + 16.\n\nUse these values to solve Question3.\n\nQuestion3: A museum announced that every X' days, there will be a day of free entrance. The first free day was on Y' September, 2014. If today is 09 December, 2014, when is the next free day? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "298b9374d1ec9007de340524ebfa72cb2c8a6828d4cdf3566c6a4899624278b0",
    "id": "bbeh:time_arithmetic:044",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 4 years to construct. They ended construction in Jul 29, 2023. What year did construction start? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: The birthdate of Isabella is 1996-Oct-11. Today is 2002-Feb-25. Compute the age of Isabella in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: The war had been going on for 252 days on 2008-10-19. How many days had it been going on for on 2009-09-30, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 2008, Y' = Y - 1958, and Z' = Z - 585.\n\nUse these values to solve Question4.\n\nQuestion4: If Bob, Jenny, Jason, Joe, Emma have their exams at (times separated by ;):  X':Y':Z' (24hr); 17:54:05 (24hr); 08:28:09 (24hr); 20:59:40 (24hr); 09:25:16 (24hr) respectively, whose exam is last? The answer can have multiple values. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "22b33ffa3beabd68c1f9c1d6f73c0046327bdb5fa169e9b397015b3fd3172da1",
    "id": "bbeh:time_arithmetic:045",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, a company was established in 05-18-2010. In what year will they celebrate their 9 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: Camila was born on 2002-Nov-22 and Liam was born on 2004-Oct-22. Liam is M months younger than Camila. Compute M.  You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: If the current date is 2021-07-22 and I was born on 2012-11-02, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 2002, Y' = Y - 2, and Z' = Z - 3142.\n\nUse these values to solve Question4.\n\nQuestion4: If Kyle, Jenny, Joe, Emma, Dan have their exams at (times separated by ;):  X':Y':Z' (24hr); 11:15 (24hr); 01:28:47 (24hr); 12:47:24 (24hr); 02:00 (24hr) respectively, arrange the persons in ascending order of their exam time. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9b6b5adce4de7b2d4ff6eb2fa2ce7e965e9ebd76d061870d0e81a399179f27bb",
    "id": "bbeh:time_arithmetic:048",
    "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day before tomorrow is 1998-Mar-16. What is the date 24 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 1980, Y' = Y + 23, and Z' = Z + 16.\n\nUse these values to solve Question2.\n\nQuestion2: What is the time in Location A (-0800 PST) when the time in Location B is X':Y':Z' (24hr) UTC (+0000). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "e7e3328ac526047e97c8b289ebc60bbba67b203c1b55474a18e82e294d19908a",
    "id": "bbeh:time_arithmetic:060",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Ben was born on 2011-05-11. Compute his age in days on 2020-06-24. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2002-07-14 and I was born on 2001-08-14. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 3302 and Y' = Y + 5.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on  X' Jun, 2020 and really liked it. They decided to go to the same restaurant every Y' days. If today is 09 Dec, 2020, when is the next time they will go to that restaurant? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "e5a212b04f295824d0a6b69d5a59e91b55ff909d925e332b769f1531ad5bef16",
    "id": "bbeh:time_arithmetic:061",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: A concert was originally scheduled for February 15, 2016, but has been preponed by 494 days. What is the new concert date? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X - 0.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Tuesday, what day of the week is it X' days from now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 22 and let P' be the day of the week 50 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: If today is P', what day of the week was it Y' days before now? Your answer should be the day of the week.\n\nLet Z' = Z - 1990 and let Q' be the day of the week 20 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On a Q' before noon, Fred started studying and studied Z' hours non-stop. What day(s) of the week could it be when Fred finished studying? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "ff2668d4562849a52e708abbce1aba9ff9df358d4de97e863b82015561797f68",
    "id": "bbeh:time_arithmetic:071",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Camila an average of 17 minutes and 12 seconds to read 2 chapters. If she wants to read 7 chapters at the same rate, it will take her A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X + 1, Y' = Y + 55, and Z' = Z - 12.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Three students measured the time it took them to complete an assignment. It took the first student X':Y':Z', the second student 2:00:50, and the third 1:55:40 hours:minutes:seconds to finish their assignment. They want to compute the average time H:M:S. Help them by computing  H, M and S and reporting. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1985, R' = R - 15, and Q' = Q + 21.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 8 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "a1e14ecbfdd18d082d7d36067df5041ec698b581adf31f295b3d9ccf67b0dc25",
    "id": "bbeh:time_arithmetic:076",
    "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: What is the day 47 days from now in the yyyy-mm-dd format if the day before tomorrow is  2005-Oct-25? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 1999, Y' = Y - 2, and Z' = Z + 17.\n\nUse these values to solve Question2.\n\nQuestion2: Flight departs location A at 01:48 (24hr) UTC(+0000). It reaches location B at X':Y':Z' PM EST(-0500). What is the total time duration taken to fly? Your answer should be the number of days, hours, minutes, and seconds, respectively, without the units (for example, 3, 32, 46, 38).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "6b7f10fc5f20835eaf71e8188e7dfbe2111c936f74c195f96dac7c50b51d5d18",
    "id": "bbeh:time_arithmetic:077",
    "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: What is the day 91 days from now in the yyyy-mm-dd format if the day before tomorrow is  2014-Jun-27? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y - 0 and Z' = Z - 25.\n\nUse these values to solve Question2.\n\nQuestion2: Natalie lives in Location A (UTC +0000) and is going to call Zoe in Location B at Y':Z' AM, A's time. What time is it for B, who lives in UTC (+0000), in their local time. Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04:10 or same_day, 08:16.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9969b834e2d3d417a5ad88173535778104df2731e04c826a1e5f94eebe0171b2",
    "id": "bbeh:time_arithmetic:080",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Isabella has bought a robot that helps with everyday tasks. It takes the robot 1:42:41 hours:minutes:seconds to learn a magic trick, on average. Isabella wants the robot to learn 24 magic tricks. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet X' = X - 40, Y' = Y + 51, and Z' = Z + 16.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: It took runner1 X':Y':Z', runner2 2:00:30, and runner3 0:50:50 hours:minutes:seconds to finish the race. If on average, it took the three runners H:M:S to finish the rance, report the values of H, M and S. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 2009, R' = R - 33, and Q' = Q - 10.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 6 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "f89d045d415421620351c6521f59c2ab37faead9bad4f28bf5c62e105dca86d0",
    "id": "bbeh:time_arithmetic:083",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Rachel an average of 11 minutes and 16 seconds to study 2 pages. If she wants to study 16 pages at the same rate, it will take her A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X + 9, Y' = Y + 25, and Z' = Z + 28.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmy's homework ended at X':Y':Z' AM. How much time passed during his work session if he srarted at 06:28:19 AM? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1987, R' = R - 18, and Q' = Q + 17.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 2 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "5840ab1546b13dded6ccda0e1b24dff085ad4452f62311b9a53f45ddfb2b5e25",
    "id": "bbeh:time_arithmetic:086",
    "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day after yesterday is 2011-Sep-16. What is the date 502 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 2001, Y' = Y + 47, and Z' = Z - 5.\n\nUse these values to solve Question2.\n\nQuestion2: If right now, it is X':Y':Z' AM in Location A (PST -0800), what time is it in Location B (UTC +0000)? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "fd944da166d63bdcebfa3bcfc51cae17f914a32a11c63abd74692135bbb8a456",
    "id": "bbeh:time_arithmetic:088",
    "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day after yesterday is 2019-Jun-21. What is the date 299 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y + 2 and Z' = Z - 2.\n\nUse these values to solve Question2.\n\nQuestion2: Olivia lives in Location A (UTC +0000) and is going to call Sarah in Location B at Y':Z' AM, A's time. What time is it for B, who lives in EST (-0500), in their local time. Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04 or same_day, 08:14.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9a7cc4c3dd72eca696aa0501c0d521eea36a8ee89dd6d289a05793efbad7c196",
    "id": "bbeh:time_arithmetic:091",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah and Liam were born on 2008-Aug-18 and 2009-Apr-20 respectively. When Liam was 238 days old, how old was Hannah in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 1997-08-24 and I was born on 1996-08-24. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 466 and Y' = Y + 15.\n\nUse these values to solve Question3.\n\nQuestion3: A museum announced that every X' days, there will be a day of free entrance. The first free day was on 07-Y'-2006. If today is 02-01-2007, when is the next free day? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "e7d66f4851e3a477977d704575a4252faf7b0b8684b3ecf957a6f309b6247f06",
    "id": "bbeh:time_arithmetic:094",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: A construction project was due to be completed on 02-28-2007, but has been expedited and finised early by 2 months. What is the new completion date? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 33.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Wednesday and my parents arrive in X' days. On what day of the week do my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 6 and let P' be the day of the week 38 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the deadline is in Y' days. On what day of the week is the deadline? Your answer should be the day of the week.\n\nLet Z' = Z - 1994 and let Q' be the day of the week 76 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: If it is Q', what is the day Z' hours from now? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "4333f73f0d349e77ce61a999afe15c2099dcaff0482a48c4bfd51bf6805896f9",
    "id": "bbeh:time_arithmetic:105",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: The war had been going on for 264 days on 2008-12-23. How many days had it been going on for on 2009-03-03, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2014-07-27 (yyyy-mm-dd format) and I was born on 2012-05-27. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, a company was established in 16 Jun, 2001. In what year will they celebrate their 39 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X - 308, Y' = Y - 23, and Z' = Z - 283.\n\nUse these values to solve Question4.\n\nQuestion4: If Emma, Jason, Bob, Lily, Kyle have their exams at (date_times separated by ;): on X'-Y'-Z' at 01:51 PM; in June 1750; on 24-12-2026 at 02:00 (24hr); in September 1771; on 19-05-1825 at 06:18:52 (24hr) respectively, arrange them in descending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "838e6b657971df3102324d9a89c57ec2f639a6e2c9dd026eb952d91f594e6d28",
    "id": "bbeh:time_arithmetic:112",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 04-30-2003, what is the date 415 days from now? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 19.\n\nLet the answer to Question2 be P.\n\nQuestion2: On Sunday morning, I was told that the package was out for delivery X' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 19 and let P' be the day of the week 43 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: Today is P' and my parents arrive in Y' days. On what day of the week do my parents arrive? Your answer should be the day of the week.\n\nLet Z' = Z - 1984 and let Q' be the day of the week 40 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "f3015b4c531205682a1cbcf431768deaed5b330153e86b638a32e012327b3c0d",
    "id": "bbeh:time_arithmetic:113",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: Your driver's license expires on October 17, 2009. You receive a renewal notice saying the latest date to renew without a test is 282 days from expiry. What's the latest date you can renew without a test? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 19.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Tuesday, what day of the week is it X' days from now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 7 and let P' be the day of the week 33 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the deadline is in Y' days. On what day of the week is the deadline? Your answer should be the day of the week.\n\nLet Z' = Z - 2000 and let Q' be the day of the week 15 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: If it is Q', what is the day Z' hours from now? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "f82881ae4f68bde2bcdf26af0dcdefa20bf679b3721f04a5160312f268024e4a",
    "id": "bbeh:time_arithmetic:115",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: A group of people played a board game for 4 rounds and logged the game duration in terms of hours, minutes, and seconds as 1:40:50, 1:10:30, 1:55:50 and 0:55:50. On average, how long does one round of the game take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 0, Y' = Y - 13, and Z' = Z + 3.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Clara has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to create vision board for one project, on average. Clara wants the robot to create vision boards for 16 projects. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1973, R' = R - 18, and Q' = Q - 17.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 6 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "8150bd970a15b310657d29fd8f152cd25bf9481a47ef48444b2691017d28bb87",
    "id": "bbeh:time_arithmetic:117",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 1997-09-29 (yyyy-mm-dd format) and I was born on 1996-06-29. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2012-06-14 and I was born on 2011-09-14. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X + 4 and Y' = Y + 21.\n\nUse these values to solve Question3.\n\nQuestion3: A museum announced that every X' days, there will be a day of free entrance. The first free day was on Y' December, 2010. If today is 08 February, 2011, when is the next free day? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "ff8f70d4110f76cc9a904d5a45dfbb65cc8f8a888a46baa958f3483beca95373",
    "id": "bbeh:time_arithmetic:120",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: The war had been going on for 480 days on 2020-11-27. How many days had it been going on for on 2021-04-04, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The birthdate of Alice is 2000-Jan-01. Today is 2004-Oct-23. Compute the age of Alice in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2001-04-20 and I was born on 2000-06-20. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 604, Y' = Y - 1740, and Z' = Z + 17.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Lucas did. He was plant watering at  10 PM. He also did some shopping and sleeping at 05:51 (24hr) and 11:32 PM respectively. He was also working out at 15:00 (24hr) and socializing at X':Y':Z' PM. Arrange the activities Lucas did in ascending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "81cc5a9276574e7859deb887a39f811a5deab494a46657abfc98031885a0b6b4",
    "id": "bbeh:time_arithmetic:125",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Lucas has created a robot to do his tasks. On average, it takes the robot 3 hours, 45 minutes, and 54 seconds to traslate 2 pages. The robot has to traslate 10 pages. Suppose it takes the robot H:M:S hours, minutes, seconds to complete the task. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 16, Y' = Y - 19, and Z' = Z + 25.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Nora has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to create vision board for one project, on average. Nora wants the robot to create vision boards for 24 projects. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1941, R' = R - 16, and Q' = Q + 20.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 10 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "83ea15049bc331169f7b626e84baf262f526d0d88c1182c16593f987c2e92546",
    "id": "bbeh:time_arithmetic:126",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Rachel was born on 2012-Apr-05 and Brad was born on 2013-Jan-21. How many days is Rachel older than Brad? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Sarah and Asher were born on 2021-Mar-16 and 2021-Jun-20 respectively. When Asher was 719 days old, how old was Sarah in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Theodore was born on 2002-12-30. Compute his age in days on 2010-08-28. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 288, Y' = Y - 788, and Z' = Z - 880.\n\nUse these values to solve Question4.\n\nQuestion4: If Bob, Lily, Emma, Jason, Dan have their exams at (date_times separated by ;): in September 2007; in January 1950; on X'-Y'-Z' at 03:39:35 PM; on 20 October, 1993 at 02:44:19 AM; in March 1918 respectively, arrange them in descending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "4b1549be9240b62287b3e52a8aaa872d010a59715648c35ef6d3f63b86b17738",
    "id": "bbeh:time_arithmetic:132",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Calculate the time taken to practice 24 songs if Theodore takes 23 minutes and 24 seconds to practice a song. If the answer is X hours, Y minutes, and Z seconds, Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X - 5, Y' = Y + 38, and Z' = Z + 8.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Alice has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to back up one phone, on average. Alice wants the robot to back up 21 phones. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1903, R' = R - 43, and Q' = Q - 4.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 2 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "484be5e8c8ada7916cd69dc5407919f038ba1f7e9842acf99e55ceb1c559d633",
    "id": "bbeh:time_arithmetic:135",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Olivia has bought a robot that helps with everyday tasks. It takes the robot 2:21:39 hours:minutes:seconds to back up one phone, on average. Olivia wants the robot to back up 11 phones. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet X' = X - 25, Y' = Y - 3, and Z' = Z + 21.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: A group of people played a board game for 4 rounds and logged the game duration in terms of hours, minutes, and seconds as X':Y':Z', 2:50:00, 1:00:40 and 1:00:30. On average, how long does one round of the game take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1992, R' = R - 24, and Q' = Q - 9.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 3 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "96e081c715dfe7a6f07a7a8bc47c5ba07ffc7d9503b240f39d03ec507ae39393",
    "id": "bbeh:time_arithmetic:143",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah was born on 2009-Jun-22 and Oliver was born on 2011-Aug-22. Oliver is M months younger than Hannah. Compute M.  You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Sarah was born on 2016-Jan-30 and Gabriel was born on 2018-Nov-30. Gabriel is M months younger than Sarah. Compute M.  You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, a company was established in May 28, 2012. In what year will they celebrate their 7 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X - 24, Y' = Y + 4, and Z' = Z - 1994.\n\nUse these values to solve Question4.\n\nQuestion4: If Emma, Dan, Jason, Lily, Bob have their exams at (times separated by ;):  15:00 (24hr); 04:00 (24hr); 07:26 PM; X':Y':Z' PM; 12:02:36 (24hr) respectively, find the persons whose exams are strictly after the cut-off time of 19:00:24 (24hr). If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "29ca776c979680e60a152a4be55db76d79bb2239c4fe1a7110558e16299cf535",
    "id": "bbeh:time_arithmetic:145",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: If the current date is 2010-08-24 and I was born on 2004-05-02, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: David was born on 2009-09-11. Compute his age in days on 2015-05-21. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 2289 and Y' = Y - 2076.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on  20-Y'-2014 and really liked it. They decided to go to the same restaurant every X' days. If today is 03-04-2014, when is the next time they will go to that restaurant? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "ef40afa995a8c8545dcb6b030da79a6cb896c8e86926156ce80d0dff0a8d55ef",
    "id": "bbeh:time_arithmetic:148",
    "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 30-11-2009, what is the date 19 years from now? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X + 26.\n\nLet the answer to Question2 be P.\n\nQuestion2: On Thursday morning, I was told that the package was out for delivery X' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 18 and let P' be the day of the week 40 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the deadline is in Y' days. On what day of the week is the deadline? Your answer should be the day of the week.\n\nLet Z' = Z - 1993 and let Q' be the day of the week 15 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "de64435e4070ae418b608c4d898c980e4dc841a72b46c9e85997e463bf4719aa",
    "id": "bbeh:time_arithmetic:165",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, a company was established in 14 March, 2023. In what year will they celebrate their 40 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2002-11-19 and I was born on 2000-03-19. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: The war had been going on for 824 days on 2012-10-21. How many days had it been going on for on 2013-05-27, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 173, Y' = Y - 31, and Z' = Z - 1020.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Brad did. He was gardening on 10-28-1768 at 17:50 (24hr). He also did some traveling and camping on December 22, 1918 and on 07-26-1825 at 11:04:29 AM respectively. He was also hunting in July 1825 and fishing in May 1904. Find the activities which are strictly before the cut off date/time of X'-Y'-Z' 23:05:04 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [cooking, playing, ...]). If there are no valid answers, return an empty list [].",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "5f60fdd16637c984ae9407a510ec3a6caa296e4228c4547926e0518a8be774d0",
    "id": "bbeh:time_arithmetic:172",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: The average time taken to study one page is 27 minutes and 57 seconds. Calculate the time taken to study 16 pages at the same rate. Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X - 3, Y' = Y - 0, and Z' = Z + 23.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Stella has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to practice a song, on average. Stella wants the robot to practice 19 songs. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1897, R' = R - 35, and Q' = Q + 26.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 10 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "4fb2ca185adf662e59b2da46a22c7bd3e6192be1007263d7776d1089920fe163",
    "id": "bbeh:time_arithmetic:173",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Elizabeth and William were born on 2022-May-17 and 2022-Oct-31 respectively. When William was 333 days old, how old was Elizabeth in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The war had been going on for 901 days on 2021-07-25. How many days had it been going on for on 2022-05-27, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2005-11-28 and I was born on 2004-01-28. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 487, Y' = Y - 1169, and Z' = Z + 33.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Levi did. He was socializing at  X':Y':Z' (24hr). He also did some meditating and sleeping at 06 PM and 10:35:22 AM respectively. He was also plant watering at 07:00 (24hr) and writing at 05:16:27 AM. Arrange the activities Levi did in descending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "e30a2db3a3cb4f3d505efda12493ad85c89871f5bca767c27f9c6e29ea4f6255",
    "id": "bbeh:time_arithmetic:177",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: A group of people played a board game for 4 rounds and logged the game duration in terms of hours, minutes, and seconds as 2:55:30, 0:40:00, 1:55:40 and 1:10:50. On average, how long does one round of the game take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 1, Y' = Y + 15, and Z' = Z + 20.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: A group of people played a board game for 4 rounds and logged the game duration in terms of hours, minutes, and seconds as X':Y':Z', 2:30:10, 2:40:10 and 0:30:10. On average, how long does one round of the game take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 2021, R' = R - 38, and Q' = Q + 29.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 10 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "2535cb7f6c738979e17adb0cb9b7c945676ef0d9556f613fa8e25911a271386f",
    "id": "bbeh:time_arithmetic:178",
    "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Ava an average of 26 minutes and 46 seconds to carry 2 boxes. If she wants to carry 12 boxes at the same rate, it will take her A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X + 3, Y' = Y + 4, and Z' = Z - 15.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmys's homework time began at X':Y':Z' AM and wrapped up at 10:28:53 PM. How much time passed during his work session? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1973, R' = R - 37, and Q' = Q + 4.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 5 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "6192fb3df28a20725ad29e605c9d8c711c67416d525c7349b4c4ce415918a983",
    "id": "bbeh:time_arithmetic:180",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2003-01-22 and I was born on 2002-05-22. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2005-11-28 and I was born on 2004-01-28. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X + 11 and Y' = Y - 21.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on  21-Y'-2014 and really liked it. They decided to go to the same restaurant every X' days. If today is 26-07-2014, when is the next time they will go to that restaurant? Use the date format in the question to report the result.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "d09b90b5403ad91607cc36bc10a842fa0572dc5da96d359eb76c076bf8cf4307",
    "id": "bbeh:time_arithmetic:183",
    "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The most important game was on 2012-12-19 (yyyy-mm-dd) and the second most important game was 2 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.\n\nLet X' = X - 2003, Y' = Y + 21, and Z' = Z - 4.\n\nUse these values to solve Question2.\n\nQuestion2: A plane leaves Location A at 09:00 (24hr) UTC+0000 and arrives in Location B X':Y':Z'(hh:mm:ss) later. What time is it in Location B when the plane lands? Location B is in the timezone PST(-0800)). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "930ddf7d73a32b5c91db85810037f0928ef2a2be7e613bdcf345225aedf90ad7",
    "id": "bbeh:time_arithmetic:185",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah was born on 2012-May-26 and Henry was born on 2016-Jul-20. How many days is Hannah older than Henry? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: I was exactly 373 days old on 2000-12-20. Compute my age in days on 2001-03-24. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2012-06-14 and I was born on 2011-09-14. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 1502, Y' = Y - 453, and Z' = Z + 36.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Theodore did. He was cooking at  02 PM. He also did some sleeping and socializing at X':Y':Z' (24hr) and 18:00 (24hr) respectively. He was also meditating at 04 PM and reading at 22:00 (24hr). Arrange the activities Theodore did in ascending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "da8f956d08c1862c8506878bdd8540ec95ec1db4f1dc1f3beeaef483feb3087f",
    "id": "bbeh:time_arithmetic:187",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah and Chris were born on 2006-Dec-28 and 2007-Nov-05 respectively. When Chris was 838 days old, how old was Hannah in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: If the current date is 1997-10-16 and I was born on 1996-01-30, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2008-04-27 (yyyy-mm-dd format) and I was born on 2006-08-27. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 1146, Y' = Y - 608, and Z' = Z + 27.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities David did. He was meditating at  22:01 (24hr). He also did some shopping and cooking at X':Y':Z' AM and 09:00 (24hr) respectively. He was also working out at 06:07 PM and plant watering at 10:26:24 AM. Arrange the activities David did in descending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "9fe9cb4a01ee9a20184e76af8772ef4a94b94f4280fc1adfe726d1bad57cef99",
    "id": "bbeh:time_arithmetic:195",
    "request": "Let the answer to Question1 be X.\n\nQuestion1: Ava was born on 2008-Jul-13 and Samuel was born on 2010-Feb-13. Samuel is M months younger than Ava. Compute M.  You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The birthdate of Camila is 1992-Apr-26. Today is 2001-Jan-23. Compute the age of Camila in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: I was exactly 701 days old on 2023-02-17. Compute my age in days on 2023-08-05. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 3, Y' = Y - 3192, and Z' = Z + 950.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities John did. He was hunting on June 22, 1910 at 13:10:17 (24hr). He also did some skiing and camping on X'-Y'-Z' and on Jul 27, 1794 at 16:00 (24hr) respectively. He was also vacationing on Nov 22, 1859 at 12:51 PM and traveling on February 16, 1820 at 08:46 (24hr). Arrange the activities John did in descending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "time_arithmetic"
  },
  {
    "dataset": "bbeh",
    "family": "15b09a1222d5717ea6d7c03258de7deab067df3e4dcff0650c7594b537cb56f4",
    "id": "bbeh:web_of_lies:001",
    "request": "In this question, assume each person either always tells the truth or always lies. Osborne says Meredith tells the truth. Inga says Sherrie lies. Vina says Raymond tells the truth. Odette says Mandy lies. Leda says Jerry lies. Melinda says Orin tells the truth. Teressa says either exactly two of Tamika, Osborne and Meredith tell the truth or none of them. Jamey says exactly one of Phoebe, Mina and Ocean tells the truth.Ocean says Mina lies. Ophelia says Olivia lies. Rashida says either exactly two of Andree, Orla and Millicent tell the truth or none of them. Shaunda says either all three of Ryan, Odysseus and Maxwell lie, or two of them tell the truth. Shenna says Jaymie tells the truth. Ottoline says Mercedes lies. Sima says Sal lies. Orla says Millicent tells the truth. Oswin says Mike lies. Tamika tells the truth. Mickey says Oona lies. Kristian says either all three of Shaunda, Micah and Owen tell the truth or only one of them. Micah says Owen tells the truth. Odysseus says Maxwell tells the truth. Sal says either exactly two of Inga, Mia and Otis tell the truth or none of them. Millicent says Orla tells the truth. Olympia says Sanket lies. Ryan says Sima, Octavia and Milo all tell the truth. Milo says Megan lies. Otis says Mia tells the truth. Yoland says exactly one of Antwan, Oona and Mickey tell the truth. Otto says Olaf lies. Andree says either all three of Kristian, Melanie and Melvin tell the truth or only one of them. Olivia says Ophelia lies. Antwan says only one of Teressa, Oliver and Odette tells the truth. Sanket says Olympia lies. Mina says Ocean lies. Oona says Mickey lies. Maxwell says Odysseus tells the truth. Sherrie says exactly one of Vina, Mike and Oswin tell the truth. Meredith says Osborne tells the truth. Jaymie says Jamey, Milton and Ottoline all tell the truth. Willian says exactly one of Shenna, Olivia and Ophelia tells the truth.Melanie says Melvin tells the truth. Kandi says either all three of Willian, Orin and Melinda tell the truth or only one of them. Mike says Oswin lies. Jerry says exactly one of Rashida, Sanket and Olympia tells the truth.Oliver says Mandy tells the truth. Olaf says Otto lies. Phoebe says exactly two of Yoland, Olaf and Otto tells the truth. Owen says Micah tells the truth. Milton says Mercedes tells the truth. Orin says Melinda tells the truth. Melvin says Melanie tells the truth. Mia says Otis tells the truth. Octavia says Megan tells the truth. Raymond says Kandi tells the truth. Do Sherrie, Raymond, and Leda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "537d8f2513fe963c39c794a36fff1468434a27fde7cf784cc45722653a336e8d",
    "id": "bbeh:web_of_lies:006",
    "request": "In this question, assume each person either always tells the truth or always lies. Tala is at the movie theater. The person at the restaurant says the person at the aquarium lies. Ayaan is at the aquarium. Ryan is at the botanical garden. The person at the park says the person at the art gallery lies. The person at the museum tells the truth. Zara is at the museum. Jake is at the art gallery. The person at the art gallery says the person at the theater lies. Beatriz is at the park. The person at the movie theater says the person at the train station lies. Nadia is at the campground. The person at the campground says the person at the art gallery tells the truth. The person at the theater lies. The person at the amusement park says the person at the aquarium tells the truth. Grace is at the restaurant. The person at the aquarium thinks their friend is lying. Nia is at the theater. Kehinde is at the train station. The person at the theater thinks their friend is lying. The person at the botanical garden says the person at the train station tells the truth. The person at the aquarium says the person at the campground tells the truth. The person at the aquarium saw a firetruck. The person at the train station says the person at the amusement park lies. Mateo is at the amusement park. Does the person at the train station tell the truth? Does the person at the amusement park tell the truth? Does the person at the aquarium tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "56701983ffcdf30e7610ddb50947b37ca2fe66be3496ad5f6632e5a15fe2593d",
    "id": "bbeh:web_of_lies:014",
    "request": "In this question, assume each person either always tells the truth or always lies. Shaunda says exactly two of Shenna, Olympia and Olaf tell the truth. Jim lies. Malcolm says Merlin tells the truth. Mehran says Ophelia lies. Olympia says Olaf lies. Delbert says either exactly two of Shaunda, Orla and Olivia tell the truth or none of them. Moses says Nicole lies. Minnie says Uri tells the truth. Fidel says exactly one of Elanor, Mia and Ozzy tell the truth. Phoebe says only one of Willian, Owyn and Moses lies. Olivia says Orla tells the truth. Virginia says Mason lies. Mia says Ozzy lies. Audrie says either all three of Kristian, Megan and John tell the truth or only one of them. Oden says Marina lies. John says Megan tells the truth. Mario says Ophelia tells the truth. Osmond says Marina tells the truth. Murphy says Millie tells the truth. Marcus says Michael tells the truth. Christie says Fidel tells the truth. Martha says Ozzie tells the truth. Sima says only one of Phoebe, Minnie and Morgan lies. Jaymie says either all three of Antwan, Othello and Mona tell the truth or only one of them. Octavius says Orson lies. Morgan says Uri lies. Ozzie says Martha tells the truth. Oda says Marshall tells the truth. Maverick says Odessa lies. Dallas says either exactly one of Jim, Millie and Murphy tells the truth, or all three of them. Shenna says only one of Amberly, Mario and Mehran lies. Opal says Mark lies. Merlin says Malcolm tells the truth. Ryan says exactly one of Yoland, Miller and Oakleigh tells the truth.Antwan says either all three of Christie, Marcus and Michael lie, or two of them tell the truth. Marshall says Oda tells the truth. Willian says exactly one of Delbert, Marsha and Oriana tells the truth.Conception says Leda, Oswald and Maverick all tell the truth. Delfina says either exactly two of Jaymie, Orion and Obadiah tell the truth or none of them. Millie says Murphy tells the truth. Othello says Mona tells the truth. Oakleigh says Miller lies. Oswald says Odessa tells the truth. Michael says Marcus tells the truth. Odysseus says Melody tells the truth. Kristian says either all three of Sima, Malcolm and Merlin tell the truth or only one of them. Orson says Octavius lies. Melody says Odysseus tells the truth. Lorine says exactly two of Bernita, Orson and Octavius tell the truth. Yoland says only one of Tamika, Kate and Opal lies. Leda says exactly two of Lorine, Mason and Virginia tell the truth. Owyn says Nicole tells the truth. Oriana says Marsha lies. Elanor says either all three of Ryan, Martha and Ozzie tell the truth or only one of them. Obadiah says Orion tells the truth. Bernita says Audrie tells the truth. Kate says Mark tells the truth. Megan says John tells the truth. Amberly says only one of Dallas, Osmond and Oden tells the truth. Olaf says Olympia lies. Mona says Othello tells the truth. Jerry says either exactly one of Conception, Marshall and Oda tells the truth, or all three of them. Ozzy says Mia lies. Marsha says Oriana lies. Orla says Olivia tells the truth. Tamika says either exactly one of Jerry, Odysseus and Melody tells the truth, or all three of them. Miller says Oakleigh lies. Orion says Obadiah tells the truth. Mason says Virginia lies. Do Antwan, Marshall, and Delfina tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "39e425018ebc433019ce28abdcee2149f61d33240c521d08691a0bf01a7fc8a4",
    "id": "bbeh:web_of_lies:017",
    "request": "In this question, assume each person either always tells the truth or always lies. The person at the hotel says the person at the barbershop tells the truth. Tala is at the hotel. The person at the city hall says the person at the farm tells the truth. Anika is at the train station. The person at the planetarium says the person at the airport tells the truth. The person at the botanical garden tells the truth. The person at the train station says the person at the city hall lies. Nadia is at the airport. Quan is at the botanical garden. Priya is at the planetarium. Liam is at the farm. The person at the planetarium says the person at the city hall lies. Nia is at the city hall. The person at the city hall says the person at the botanical garden lies. Jake is at the barbershop. Olivia is at the vineyard. The person at the barbershop says the person at the planetarium tells the truth. Maya is at the library. The person at the planetarium says the person at the library tells the truth. The person at the vineyard says the person at the city hall lies. Does the person at the hotel tell the truth? Does the person at the barbershop tell the truth? Does the person at the planetarium tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "2e65ddf56238fe5ccd297050314d39c0a769b96764c801917d02070e2804b096",
    "id": "bbeh:web_of_lies:020",
    "request": "In this question, assume each person either always tells the truth or always lies. Ethan is at the amusement park. The person at the ice skating rink says the person at the hotel tells the truth. Priya is at the campground. The person at the botanical garden says the person at the zoo tells the truth. Ryan is at the zoo. Quan is at the planetarium. The person at the shopping mall says the person at the botanical garden tells the truth. The person at the library says the person at the vineyard lies. The person at the restaurant thinks their friend is lying. The person at the library says the person at the hotel lies. Isabella is at the beach. Mateo is at the library. The person at the planetarium lies. The person at the campground says the person at the library lies. Anika is at the vineyard. The person at the shopping mall thinks their friend is lying. The person at the beach lies. Beatriz is at the museum. Luna is at the restaurant. The person at the museum says the person at the restaurant lies. Tala is at the hotel. The person at the restaurant says the person at the library lies. The person at the shopping mall says the person at the amusement park lies. Theo is at the shopping mall. The person at the farm tells the truth. The person at the hotel says the person at the shopping mall tells the truth. The person at the zoo tells the truth. The person at the zoo saw a firetruck. Emily is at the aquarium. Jake is at the ice skating rink. The person at the cafe tells the truth. Soren is at the farm. The person at the aquarium lies. Max is at the cafe. Hiroshi is at the botanical garden. Does the person at the restaurant tell the truth? Does the person at the library tell the truth? Does the person at the hotel tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "b476cd6fbd7cfc1d7db0725c803b82928051f773b3e570c939ce25b15877eeb5",
    "id": "bbeh:web_of_lies:025",
    "request": "In this question, assume each person either always tells the truth or always lies. Mustafa says Mickey lies. Vina says either exactly two of Phoebe, Otis and Oda tell the truth or none of them. Raymond says exactly one of Jerry, Mickey and Mustafa tell the truth. Malcolm says Mia tells the truth. Osborne says Ovid tells the truth. Delbert says exactly one of Sal, Octavia and Orlando tell the truth. Elanor says Sherrie tells the truth. Mariah says Miriam lies. Mindy says Natasha lies. Oda says Otis tells the truth. Mickey says Mustafa lies. Shenna says Conception lies. Ozzy says Maya lies. Shaunda says either all three of Elanor, Mia and Malcolm lie, or two of them tell the truth. Max says Odessa tells the truth. Bernita says exactly two of Sima, Maya and Ozzy tell the truth. Sima says Delbert lies. Maria says Molly lies. Orin says Milo lies. Andree says Alexis lies. Jamey says exactly one of Raymond, Bahar and Maynard tells the truth.Mackenzie says Millie lies. Phoebe says either all three of Amberly, Odessa and Max lie, or two of them tell the truth. Shalonda says either exactly two of Crista, Omar and Muhammad tell the truth or none of them. Lorine says Bernita tells the truth. Teressa says only one of Shalonda, Matteo and Maria lies. Orlando says Octavia lies. Sal says exactly one of Andree, Opal and Mark tells the truth.Oleg says Millicent tells the truth. Ryan says exactly one of Fidel, Millie and Mackenzie tells the truth.Crista says Kandi tells the truth. Tamika says either all three of Lorine, Disha and Mike tell the truth or only one of them. Mike says Disha tells the truth. Octavius says Oprah lies. Maya says Ozzy lies. Odessa says Max tells the truth. Mark says Opal lies. Miriam says Mariah lies. Antwan says either exactly two of Ka, Uri and Ophelia tell the truth or none of them. Yoland says either exactly two of Christie, Osborne and Ovid tell the truth or none of them. Jerry says exactly one of Antwan, Oprah and Octavius tells the truth.Mia says Malcolm tells the truth. Kandi says exactly two of Shaunda, Mindy and Natasha tell the truth. Christie says Teressa lies. Ovid says Osborne tells the truth. Oprah says Octavius lies. Muhammad says Omar tells the truth. Fidel says exactly two of Yoland, Miriam and Mariah tells the truth. Bahar says Maynard lies. Amberly lies. Milo says Orin lies. Willian says either all three of Vina, Millicent and Oleg lie, or two of them tell the truth. Otis says Oda tells the truth. Natasha says Mindy lies. Conception says exactly two of Ryan, Milo and Orin tell the truth. Sherrie says either exactly two of Tamika, Murphy and Osric tell the truth or none of them. Ophelia says Uri tells the truth. Opal says Mark lies. Murphy says Osric tells the truth. Matteo says Molly tells the truth. Millie says Mackenzie lies. Octavia says Orlando lies. Maynard says Bahar lies. Ka says only one of Willian, Melanie and Mariana lies. Omar says Muhammad tells the truth. Melanie says Martha tells the truth. Mariana says Martha lies. Uri says Ophelia tells the truth. Alexis says Jamey tells the truth. Disha says Mike tells the truth. Millicent says Oleg tells the truth. Osric says Murphy tells the truth. Do Tamika, Sherrie, and Shenna tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "2cfee935793e89fded07dc7e713e1b2cce5ea7c23492190e597fe373556c0b49",
    "id": "bbeh:web_of_lies:026",
    "request": "In this question, assume each person either always tells the truth or always lies. Shalonda says Gwenn, Owen and Ophelia all tell the truth. Amberly says Yoland, Marshall and Maybelle all tell the truth. Melinda says Murphy tells the truth. Sal says Crista tells the truth. Mason says Odette tells the truth. Odile says Ottoline lies. Shenna says only one of Bernita, Moses and Ovid tells the truth. Oden says Mandy tells the truth. Marsha says Maxwell tells the truth. Delbert says exactly two of Rashida, Miriam and Oswald tell the truth. Oswald says Miriam lies. Ottoline says Odile lies. Maya says Martha tells the truth. Melody says Millie tells the truth. Elanor says either exactly one of Amberly, Octavian and Octavio tells the truth, or all three of them. Sima says Sherrie, Marina and Oona all tell the truth. Vernell says either exactly two of Alexis, Mason and Odette tell the truth or none of them. Opal says Olympia tells the truth. Bernita says either exactly two of Willian, Martha and Maya tell the truth or none of them. Miriam says Oswald lies. Helene says either all three of Fidel, Melody and Millie tell the truth or only one of them. Sherrie says exactly two of Dallas, Matteo and Ozzie tell the truth. Matteo says Ozzie lies. Martin says Marcus lies. Fidel says either all three of Shalonda, Opal and Olympia lie, or two of them tell the truth. Leda says exactly two of Fletcher, Marcus and Martin tells the truth. Crista tells the truth. Marshall says Morgan tells the truth. Oswin says Nicole lies. Willian says exactly one of Vernell, Ottoline and Odile tells the truth.Maxwell says Marsha tells the truth. Owen says Matthew tells the truth. Dallas says only one of Christie, Ozias and Mike tells the truth. Oona says Miranda lies. Meadow says Miguel tells the truth. Tamika says only one of Leda, Meadow and Michael lies. Ovid says Mark lies. Marina says Miranda tells the truth. Christie says Helene, Melinda and Mario all tell the truth. Michael says Miguel lies. Jim says Sima lies. Marcus says Martin lies. Ophelia says Matthew lies. Ozzie says Matteo lies. Martha says Maya tells the truth. Octavian says Octavio tells the truth. Meredith says Nicole tells the truth. Rashida says either all three of Elanor, Marsha and Maxwell lie, or two of them tell the truth. Disha says Mandy lies. Alexis says Sal tells the truth. Fletcher says Jim lies. Octavio says Octavian tells the truth. Yoland says only one of Shenna, Oden and Disha lies. Mike says Octavius lies. Millie says Melody tells the truth. Mario says Murphy lies. Odette says Mason tells the truth. Olympia says Opal tells the truth. Ozias says Octavius tells the truth. Moses says Mark tells the truth. Gwenn says only one of Delbert, Meredith and Oswin lies. Maybelle says Morgan lies. Do Fidel, Gwenn, and Tamika tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "6e2b96682b2e27a39180d5b6ec6d7248e9f8bfee79d79ae316fadab05259ee7a",
    "id": "bbeh:web_of_lies:028",
    "request": "In this question, assume each person either always tells the truth or always lies. McKenzie says Moses tells the truth. Ofelia says Meadow lies. Marsha says Ocean lies. Dallas says only one of Raymond, Marty and Mehran lies. Mavis says Mackenzie lies. Ryan says only one of Shenna, Oakleigh and Olivia lies. Raymond says Fletcher lies. Shenna says exactly one of Antwan, Nishanth and Omar tell the truth. Sima says either exactly one of Vina, Oscar and Olive tells the truth, or all three of them. Oakleigh says Mercedes tells the truth. Ovid says Miles lies. Fidel says exactly two of Leda, Marsha and Ocean tells the truth. Maxim says Onyx lies. Jaymie says exactly two of Conception, Meadow and Ofelia tell the truth. Alexis says either all three of Tamika, Oda and Oprah tell the truth or only one of them. Millicent says Sanket lies. Phoebe says Sal, Orin and Owyn all tell the truth. Osric says Osborn tells the truth. Delbert says only one of Phoebe, Malcolm and Orla tells the truth. Inga says exactly two of Delbert, Ovid and Miles tell the truth. Willian says exactly two of Jamey, Mackenzie and Mavis tells the truth. Uri says Mandy lies. Odin says Mallory lies. Melody says Murphy tells the truth. Oakley says Onyx tells the truth. Owyn says Mateo lies. Millie says Oriana lies. Audrie says exactly one of Bernita, Mallory and Odin tells the truth.Meadow says Ofelia lies. Oscar says Olive tells the truth. Hritik says Madison tells the truth. Marina says Oden lies. Miles says Ovid lies. Marvin says Matteo lies. Olive says Oscar tells the truth. Olivia says Mercedes lies. Osborn says Osric tells the truth. Jim says Dallas, Olaf and Marina all tell the truth. Marty says Melissa tells the truth. Maybelle says Max lies. Malcolm says Natasha tells the truth. Bernita says either exactly one of Ryan, Murphy and Melody tells the truth, or all three of them. Mallory says Odin lies. Mehran says Melissa lies. Olaf says Oden tells the truth. Conception says exactly two of Gwenn, Oliver and Minnie tell the truth. Jamey says either exactly two of Inga, Osborn and Osric tell the truth or none of them. Tamika tells the truth. Murphy says Melody tells the truth. Leda says Jaymie, Miller and Marvin all tell the truth. Moses says McKenzie tells the truth. Oriana says Millie lies. Ocean says Marsha lies. Oprah says Oda tells the truth. Nishanth says Omar lies. Miller says Matteo tells the truth. Gwenn says either all three of Kristian, Hritik and Madison tell the truth or only one of them. Kristian says exactly two of Alexis, Max and Maybelle tell the truth. Shalonda says Fidel tells the truth. Mackenzie says Mavis lies. Omar says Nishanth lies. Oran says Mandy tells the truth. Max says Maybelle lies. Christie says Audrie lies. Fletcher says only one of Shalonda, Oakley and Maxim lies. Sal says exactly one of Christie, Millie and Oriana tells the truth.Oliver says Minnie lies. Minnie says Oliver lies. Vina says either exactly one of Willian, Moses and McKenzie tells the truth, or all three of them. Orla says Natasha lies. Madison says Hritik tells the truth. Antwan says only one of Lorine, Opal and Millicent lies. Lorine says only one of Jim, Oran and Uri tells the truth. Opal says Sanket tells the truth. Orin says Mateo tells the truth. Oda says Oprah tells the truth. Do Raymond, Murphy, and Sima tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "d155890941f5001c4d9984359c399f6ae9356f40d106d07451942c2f76340fcc",
    "id": "bbeh:web_of_lies:030",
    "request": "In this question, assume each person either always tells the truth or always lies. Inga says only one of Jaymie, Ozzy and Marcus lies. Muhammad says Miller lies. Olga says Matteo lies. Merlin says Mallory lies. Teressa says Phoebe, Orin and Mario all tell the truth. Delbert says exactly two of Ryan, Oona and Mateo tells the truth. Melody says Marty lies. Fletcher says either exactly two of Kandi, Maverick and Ovid tell the truth or none of them. Mateo says Oona lies. Jaymie says either all three of Jamey, Osmond and Micah lie, or two of them tell the truth. Andree says Conception lies. Sherrie says exactly two of Elanor, Michelle and Orlando tells the truth. Octavio says Morgan lies. Ollie says Octavian tells the truth. Oswald says Murphy tells the truth. Micah says Osmond tells the truth. Helene says only one of Andree, Owen and Merlin lies. Ryan says exactly one of Inga, Miller and Muhammad tell the truth. Conception says Delbert lies. Ozzy says Mindy tells the truth. Orly says Murphy lies. Ovid says Maverick tells the truth. Jim says exactly two of Alexis, Mary and Mackenzie tell the truth. Ka says exactly two of Fidel, Matteo and Olga tells the truth. Martin says Maya lies. Tamika says only one of Amberly, Mustafa and Martin tells the truth. Olympia says Orson tells the truth. Osvaldo says Orson lies. Willian says Gwenn, Osborne and Molly all tell the truth. Owyn says Oden tells the truth. Fidel says Raymond, Oswald and Orly all tell the truth. Lalit says Morgan tells the truth. Mario says Melvin lies. Mustafa says Maya tells the truth. Owen says Mallory tells the truth. Raymond says Fletcher lies. Mackenzie says Mary lies. Oswin says Orla lies. Shalonda says either exactly two of Jim, Octavian and Ollie tell the truth or none of them. Osmond says Micah tells the truth. Oden says Owyn tells the truth. Orlando says Michelle lies. Michelle says Orlando lies. Gwenn says either all three of Helene, Owyn and Oden lie, or two of them tell the truth. Elanor says Shalonda tells the truth. Alexis says only one of Ka, Olympia and Osvaldo tells the truth. Mary says Mackenzie lies. Madison says Osian lies. Orin says Melvin tells the truth. Octavian says Ollie tells the truth. Alejandro says exactly two of Sherrie, Marty and Melody tells the truth. Matteo says Olga lies. Jamey lies. Marcus says Mindy lies. Amberly says only one of Alejandro, Mina and Oswin lies. Molly says Uri lies. Mina says Orla tells the truth. Osian says Madison lies. Oona says Mateo lies. Marty says Melody lies. Kandi says only one of Willian, Lalit and Octavio tells the truth. Phoebe says exactly two of Tamika, Osian and Madison tell the truth. Osborne says Uri tells the truth. Miller says Muhammad lies. Maverick says Ovid tells the truth. Do Sherrie, Amberly, and Teressa tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "12b305974308e651cf5c4ebcc1a2c502fc72accf8aa97ea4bce8c565670560fe",
    "id": "bbeh:web_of_lies:040",
    "request": "In this question, assume each person either always tells the truth or always lies. The person at the farm thinks their friend is lying. Tala is at the vineyard. The person at the farm says the person at the museum tells the truth. Nia is at the campground. The person at the observatory says the person at the gym lies. The person at the vineyard says the person at the observatory lies. The person at the zoo tells the truth. The person at the cafe says the person at the amusement park lies. Ayaan is at the amusement park. Liam is at the observatory. The person at the library lies. Grace is at the farm. The person at the farm says the person at the vineyard tells the truth. The person at the movie theater says the person at the zoo tells the truth. The person at the gym says the person at the amusement park lies. The person at the gym says the person at the restaurant tells the truth. Luna is at the museum. Jaxon is at the bookstore. The person at the bookstore tells the truth. Isabella is at the botanical garden. The person at the gym says the person at the botanical garden tells the truth. Anika is at the ice skating rink. Emily is at the zoo. Theo is at the library. Mateo is at the gym. Ethan is at the restaurant. The person at the amusement park says the person at the zoo lies. Nadia is at the cafe. Elowen is at the movie theater. The person at the amusement park says the person at the campground tells the truth. The person at the ice skating rink tells the truth. Does the person at the farm tell the truth? Does the person at the vineyard tell the truth? Does the person at the observatory tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "aef91dbb62d39a861fe0fbb0d2dfcc1271fc237a0ad2f76be322a5e363e44c46",
    "id": "bbeh:web_of_lies:042",
    "request": "In this question, assume each person either always tells the truth or always lies. Ka lies. Mindy says Marsha lies. Shenna says either all three of Alexis, Maynard and Orly lie, or two of them tell the truth. Olaf says Odell lies. Oakley says Matteo lies. Orion says Osian tells the truth. Orhan says Onyx lies. Antwan says either exactly two of Sima, Osian and Orion tell the truth or none of them. Octavio says Marina tells the truth. Leda says only one of Jaymie, Molly and Mason tells the truth. Delbert says Yoland, Virginia and Mia all tell the truth. Gwenn says either exactly one of Antwan, Octavio and Marina tells the truth, or all three of them. Lorine says exactly one of Vernell, Martha and Madeleine tell the truth. Jerry says Kristian, Meadow and Moses all tell the truth. Dallas says exactly two of Sal, Matteo and Oakley tells the truth. Molly says Miguel tells the truth. Marlon says Monica lies. Marina says Octavio tells the truth. Odell says Olaf lies. Vina says exactly two of Delfina, Odin and Mike tells the truth. Jaymie says either exactly two of Shenna, Ozzy and Milton tell the truth or none of them. Moses says Miles lies. Octavian says Micah lies. Delfina says Willian, Orlando and Mandy all tell the truth. Fletcher says Lorine lies. Ozzie says Mary tells the truth. Ozzy says Milton tells the truth. Vernell says either all three of Ka, Oakleigh and Muhammad lie, or two of them tell the truth. Willian says either all three of Leda, Miller and Melody tell the truth or only one of them. Yoland says only one of Shalonda, Ozzie and Orla tells the truth. Audrie says only one of Fidel, Lalit and Marlon tells the truth. Odile says Mitchell lies. Virginia says Miriam tells the truth. Mike says Odin lies. Mason says Miguel lies. Fidel says only one of Dallas, Misty and Orhan lies. Sal says Vina tells the truth. Kristian says only one of Audrie, Oden and Octavian lies. Miller says Melody tells the truth. Amberly says Jerry tells the truth. Opal says Mariah lies. Alexis says exactly two of Tamika, Marsha and Mindy tells the truth. Orlando says Osmond tells the truth. Oakleigh says Muhammad tells the truth. Osian says Orion tells the truth. Melody says Miller tells the truth. Lalit says Monica tells the truth. Orla says Mary lies. Orly says Maynard tells the truth. Misty says Onyx tells the truth. Milton says Ozzy tells the truth. Muhammad says Oakleigh tells the truth. Meadow says Miles tells the truth. Matteo says Oakley lies. Odin says Mike lies. Maynard says Orly tells the truth. Mia says Miriam lies. Sima says exactly one of Delbert, Odell and Olaf tells the truth.Mariah says Opal lies. Shalonda says exactly two of Amberly, Mariah and Opal tells the truth. Conception says exactly two of Inga, Odile and Mitchell tells the truth. Oden says Micah tells the truth. Marsha says Mindy lies. Martha says Madeleine lies. Mitchell says Odile lies. Tamika says Fletcher lies. Inga says Gwenn tells the truth. Madeleine says Martha lies. Mandy says Osmond lies. Do Audrie, Sal, and Conception tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "41ed8a662dbc633be76e9281d8fabaae09eb2cc46474e4d0054eb9f26b533589",
    "id": "bbeh:web_of_lies:043",
    "request": "In this question, assume each person either always tells the truth or always lies. Melvin says Mona lies. Shalonda says Jim, Miller and Omar all tell the truth. Ottoline says Odin lies. Omar says Mercedes lies. Margaret says Odell lies. John says Mavis tells the truth. Miles says Maya tells the truth. Shaunda says Delbert tells the truth. Amberly says only one of Christie, Mike and Marty tells the truth. Orly says Milton lies. Lorine says Inga tells the truth. Otis says Molly lies. Christie says Lorine tells the truth. Mike says Lalit tells the truth. Jim says Dallas lies. Ryan lies. Fletcher says exactly one of Ryan, Mona and Melvin tells the truth.Elanor says exactly two of Shaunda, Odell and Margaret tells the truth. Molly says Otis lies. Willian says either all three of Amberly, John and Mavis tell the truth or only one of them. Miller says Mercedes tells the truth. Sima says Fletcher, Orhan and Orly all tell the truth. Marty says Lalit lies. Sal says exactly two of Elanor, Otis and Molly tells the truth. Odell says Margaret lies. Delbert says Willian lies. Orhan says Milton tells the truth. Mavis says John tells the truth. Dallas says only one of Sima, Mitchell and Ottoline lies. Mallory says Maya lies. Inga says only one of Shalonda, Miles and Mallory lies. Mona says Melvin lies. Mitchell says Odin tells the truth. Do Elanor, Shaunda, and Sal tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "ae2989701eb3f0e05b00846c9d043bbfe7530fbf7ec910c689fb05730dee3afe",
    "id": "bbeh:web_of_lies:045",
    "request": "In this question, assume each person either always tells the truth or always lies. Ovid says Merlin lies. Virginia says Owen lies. Matteo says Oprah tells the truth. Maybelle says Monica lies. Mandy says Oden tells the truth. Inga says exactly one of Antwan, Mehran and Olympia tells the truth.Maya says Muriel tells the truth. Andree says Fidel tells the truth. Helene says exactly one of Sal, Mona and Mason tell the truth. Kristian says Helene lies. Osian says Morgan tells the truth. Crista says only one of Audrie, Melody and Oswin tells the truth. Shalonda says Teressa lies. Oona says Oscar lies. Alejandro says either exactly two of Shalonda, Mandy and Oden tell the truth or none of them. Morgan says Osian tells the truth. Mehran says Olympia lies. Mona says Mason lies. Marshall says Mustafa tells the truth. Melody says Maxwell tells the truth. Lorine says Inga lies. Teressa says Delbert, Oakleigh and Ottoline all tell the truth. Oscar says Oona lies. Amberly tells the truth. Yoland says Amberly lies. Odette says Marty tells the truth. Oswin says Maxwell lies. Oakleigh says Ozias tells the truth. Muriel says Maya tells the truth. Micah says Oswald lies. Oswald says Micah lies. Delbert says exactly one of Phoebe, Virginia and Owen tells the truth.Sima says either all three of Shenna, Morgan and Osian lie, or two of them tell the truth. Nicole says Marty lies. Sal says exactly one of Lorine, Maybelle and Monica tells the truth.Fletcher says exactly one of Sima, Ovid and Merlin tell the truth. Shenna says either exactly one of Yoland, Maya and Muriel tells the truth, or all three of them. Ottoline says Ozias lies. Monica says Maybelle lies. Owen says Virginia lies. Ka says exactly one of Rashida, Micah and Oswald tell the truth. Audrie says either exactly one of Alejandro, Matteo and Oprah tells the truth, or all three of them. Oprah says Matteo tells the truth. Oden says Mandy tells the truth. Olympia says Mehran lies. Fidel says Leda tells the truth. Antwan says Fletcher tells the truth. Osvaldo says Mustafa lies. Mason says Mona lies. Rashida says only one of Crista, Odette and Nicole lies. Phoebe says exactly one of Kristian, Oscar and Oona tell the truth. Merlin says Ovid lies. Leda says only one of Ka, Marshall and Osvaldo lies. Do Alejandro, Maya, and Andree tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "e760406d76af43e69d944efd340395411b5b36ff662bf9ee49d238a5f331abb7",
    "id": "bbeh:web_of_lies:048",
    "request": "In this question, assume each person either always tells the truth or always lies. Sal says Fletcher tells the truth. Mateo says Odile tells the truth. Ofelia says Lalit lies. Hritik says Oakley lies. Delfina says either all three of Alexis, Mallory and Octavio lie, or two of them tell the truth. Octavius says Mariana tells the truth. Morris says Michael lies. Audrie says exactly one of Jamey, Michael and Morris tells the truth.Ollie says Uri tells the truth. Antwan says exactly two of Phoebe, Maverick and Oda tell the truth. Jerry says Raymond lies. Orly says Murphy lies. Delbert says either exactly one of Andree, Ollie and Uri tells the truth, or all three of them. Mark says Melody tells the truth. Leda says Sal, Oakleigh and Orly all tell the truth. Odin says Maurice lies. Oakley says Hritik lies. Melissa says Matteo lies. Octavio says Mallory tells the truth. Lalit says Ofelia lies. Oakleigh says Murphy tells the truth. Christie says only one of Fidel, Octavius and Bahar tells the truth. Marlon says Owen lies. Inga says exactly two of Elanor, Ofelia and Lalit tells the truth. Mavis says Obadiah lies. Fletcher says Inga lies. Matteo says Melissa lies. Bahar says Mariana lies. Uri says Ollie tells the truth. Vernell says exactly one of Rashida, Oakley and Hritik tells the truth.Raymond says exactly one of Kristian, Matteo and Melissa tells the truth.Michael says Morris lies. Andree says either exactly two of Delfina, Mateo and Odile tell the truth or none of them. Oda says Maverick lies. Kristian says exactly two of Leda, Marlon and Owen tells the truth. Owen says Marlon lies. Phoebe says only one of Audrie, Merlin and Mavis lies. Maverick says Oda lies. Odile says Mateo tells the truth. Mallory says Octavio tells the truth. Odell says Mitchell tells the truth. Mitchell says Odell tells the truth. Rashida says Christie, Osbert and Odin all tell the truth. Osbert says Maurice tells the truth. Elanor says Delbert tells the truth. Teressa says Vernell lies. Merlin says Obadiah tells the truth. Melody says Mark tells the truth. Jamey lies. Alexis says either exactly two of Antwan, Odell and Mitchell tell the truth or none of them. Fidel says either exactly one of Jerry, Mark and Melody tells the truth, or all three of them. Do Christie, Sal, and Teressa tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "ec91ed313ed8efe03cf0d26ad4cdbecb0f8cb40913e48091f995747df09755db",
    "id": "bbeh:web_of_lies:062",
    "request": "In this question, assume each person either always tells the truth or always lies. The person at the barbershop says the person at the zoo tells the truth. The person at the bookstore says the person at the library lies. Zara is at the bookstore. The person at the farm lies. Ryan is at the observatory. Ethan is at the botanical garden. Priya is at the vineyard. The person at the observatory says the person at the campground tells the truth. The person at the museum says the person at the botanical garden lies. Grace is at the museum. Farid is at the gym. The person at the vineyard says the person at the farm lies. The person at the library says the person at the museum lies. The person at the campground says the person at the vineyard tells the truth. Olivia is at the campground. The person at the gym says the person at the zoo lies. Devika is at the barbershop. The person at the farm saw a firetruck. The person at the zoo says the person at the bookstore tells the truth. Hiroshi is at the farm. The person at the gym thinks their friend is lying. The person at the museum says the person at the observatory tells the truth. Emily is at the library. The person at the bookstore saw a firetruck. Isabella is at the zoo. Does the person at the gym tell the truth? Does the person at the zoo tell the truth? Does the person at the bookstore tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "832ae407511dddfb463aa1d732d3d9c99d4d7e2110db2fb46b17da3e4cededff",
    "id": "bbeh:web_of_lies:066",
    "request": "In this question, assume each person either always tells the truth or always lies. Uri says Osborne lies. Odile says Oona tells the truth. Mehran says Oran tells the truth. Jerry says Ka tells the truth. Shenna says Shalonda tells the truth. Raymond says Shenna lies. Sal says only one of Raymond, Odell and Ozzy lies. Alejandro lies. Mackenzie says Marvin lies. Mandy says Oleg lies. Conception says only one of Sal, Oscar and Miller lies. Oleg says Mandy lies. Oden says Merlin tells the truth. Miller says Lalit lies. Maya says Merlin lies. Michael says Octavia lies. Marshall says Oona lies. Michelle says Oran lies. Maybelle says McKenzie lies. Amberly says exactly one of Ryan, Michael and Octavia tells the truth.Fletcher says only one of Audrie, Mehran and Michelle lies. Ka says Fletcher, Odile and Marshall all tell the truth. Oscar says Lalit tells the truth. Molly says Marvin tells the truth. Octavia says Michael lies. Shalonda says exactly one of Amberly, Osborne and Uri tell the truth. Sima says Lorine, Molly and Mackenzie all tell the truth. Jim says exactly two of Conception, Misty and Maximilian tell the truth. Kandi says only one of Sima, Oden and Maya lies. Mariana says Orlando tells the truth. Maximilian says Misty lies. Osborne says Uri lies. McKenzie says Maybelle lies. Misty says Maximilian lies. Audrie says exactly one of Alejandro, McKenzie and Maybelle tells the truth.Ozzy says Othello lies. Odell says Othello tells the truth. Orlando says Mariana tells the truth. Ryan says either exactly one of Kandi, Orlando and Mariana tells the truth, or all three of them. Lorine says exactly one of Jerry, Mandy and Oleg tells the truth.Do Shalonda, Conception, and Jim tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "a335752f413e55d1456965d98a6853d9a483719ad07afb6bad61679e2a0272a8",
    "id": "bbeh:web_of_lies:070",
    "request": "In this question, assume each person either always tells the truth or always lies. The person at the train station says the person at the gym tells the truth. The person at the barbershop tells the truth. The person at the planetarium says the person at the train station lies. The person at the city hall says the person at the planetarium tells the truth. Theo is at the library. Nia is at the park. Jake is at the gym. The person at the park says the person at the barbershop tells the truth. The person at the gym says the person at the movie theater tells the truth. The person at the campground says the person at the library lies. Hiroshi is at the bowling alley. The person at the barbershop saw a firetruck. The person at the library says the person at the city hall lies. The person at the bowling alley says the person at the city hall lies. The person at the movie theater says the person at the park tells the truth. Isabella is at the train station. Charlie is at the barbershop. Ryan is at the planetarium. Emily is at the movie theater. Liam is at the city hall. The person at the movie theater thinks their neighbor is telling the truth. Devika is at the campground. Does the person at the campground tell the truth? Does the person at the library tell the truth? Does the person at the city hall tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "5f59e71a9455035c0ef618eca197a2921c8d9207a0ddbe99ad465b9c2eafe61e",
    "id": "bbeh:web_of_lies:093",
    "request": "In this question, assume each person either always tells the truth or always lies. Jerry says either all three of Phoebe, Lalit and Miles tell the truth or only one of them. Sima lies. Jamey says exactly one of Ryan, Maxim and Orlando tell the truth. Andree says only one of Ka, Madeleine and Odin tells the truth. Michelle says Mariana lies. Moses says Obadiah tells the truth. Miles says Lalit tells the truth. Odin says Osborne lies. Maxim says Orlando lies. Ovid says Mavis tells the truth. Millicent says John lies. Elanor says either exactly one of Vernell, Mario and Olive tells the truth, or all three of them. Kandi says Kristian, Morris and Meredith all tell the truth. Lalit says Miles tells the truth. Dallas says either exactly one of Conception, Bahar and Mercedes tells the truth, or all three of them. John says Millicent lies. Vernell says either exactly two of Inga, Monica and Marshall tell the truth or none of them. Teressa says Elanor tells the truth. Antwan says exactly two of Amberly, Mariana and Michelle tells the truth. Maynard says Marty tells the truth. Ka says Fletcher tells the truth. Mandy says Mohamed lies. Madeleine says Osborne tells the truth. Orlando says Maxim lies. Mariah says Nishanth tells the truth. Willian says either all three of Andree, Nishanth and Mariah tell the truth or only one of them. Mario says Olive tells the truth. Meredith says Oran lies. Alejandro says only one of Dallas, Oakley and Orhan tells the truth. Phoebe says Sima lies. Oakley says Madison tells the truth. Orla says Obadiah lies. Mariana says Michelle lies. Misty says Virginia tells the truth. Uri says Oprah lies. Olive says Mario tells the truth. Inga says only one of Jerry, Moses and Orla lies. Mohamed says Mandy lies. Raymond says exactly two of Tamika, Mohamed and Mandy tells the truth. Tamika says Shalonda tells the truth. Orhan says Madison lies. Nishanth says Mariah tells the truth. Monica says Marshall tells the truth. Mercedes says Bahar tells the truth. Shalonda says Alejandro, Misty and Marvin all tell the truth. Ozzie says Marty lies. Morris says Oran tells the truth. Conception says exactly two of Teressa, Millicent and John tells the truth. Marvin says Virginia lies. Fletcher says only one of Kandi, Maynard and Ozzie lies. Bahar says Mercedes tells the truth. Marshall says Monica tells the truth. Amberly says exactly one of Willian, Uri and Oprah tell the truth. Oprah says Uri lies. Kristian says either all three of Raymond, Mavis and Ovid lie, or two of them tell the truth. Ryan says Leda tells the truth. Mavis says Ovid tells the truth. Leda says Antwan lies. Do Willian, Odin, and Jamey tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "403a86cd7be8b309a2e245a60dde008da8f60949a00f3515c2eb58f15307cf20",
    "id": "bbeh:web_of_lies:096",
    "request": "In this question, assume each person either always tells the truth or always lies. Mariah says Osborn tells the truth. Owen says Maxwell lies. Millicent says Osric tells the truth. Owyn says Olaf tells the truth. Orla says Mandy tells the truth. Murphy says Maverick tells the truth. Sherrie says either exactly two of Leda, Moses and Ozzie tell the truth or none of them. Orhan says Osmond tells the truth. Elanor says either exactly one of Dallas, Miriam and Mike tells the truth, or all three of them. Leda says either all three of Sima, Olaf and Owyn lie, or two of them tell the truth. Mike says Miriam tells the truth. Oprah says Milo tells the truth. Moses says Ozzie tells the truth. Teressa says exactly one of Shenna, Madeleine and Miguel tells the truth.Sanket says Mitchell lies. Miles says Orlando tells the truth. Marcus says Micah lies. Rashida says either exactly one of Bernita, Mona and McKenzie tells the truth, or all three of them. Fletcher says Sherrie lies. Minnie says Mehran tells the truth. Orlando says Miles tells the truth. Miriam says Mike tells the truth. Alexis says only one of Delbert, Oprah and Mina lies. Ozzie says Moses tells the truth. Muhammad says Max tells the truth. Osborn says Mariah tells the truth. Sima says either exactly two of Alexis, Orlando and Miles tell the truth or none of them. Orin says Osric lies. John says Oswald tells the truth. Mona says McKenzie tells the truth. Oswald says John tells the truth. Kandi says either exactly one of Ka, Osborn and Mariah tells the truth, or all three of them. Antwan says Crista, Uri and Owen all tell the truth. Marvin says Marina lies. Bernita says Fletcher, Orhan and Orion all tell the truth. Miguel says Madeleine lies. Delbert says either all three of Alejandro, Mandy and Orla lie, or two of them tell the truth. Olaf says Owyn tells the truth. Madeleine says Miguel lies. Alejandro says only one of Raymond, Minnie and Martha lies. Orion says Osmond lies. Crista says either all three of Ryan, Muhammad and Max lie, or two of them tell the truth. Conception says either all three of Kandi, Maverick and Murphy lie, or two of them tell the truth. Ryan says exactly two of Elanor, Marvin and Marina tells the truth. Vernell lies. Maverick says Murphy tells the truth. McKenzie says Mona tells the truth. Raymond says either exactly one of Vernell, Oswald and John tells the truth, or all three of them. Mandy says Orla tells the truth. Lalit says Micah tells the truth. Shenna says only one of Rashida, Mallory and Sanket lies. Uri says Maxwell tells the truth. Mallory says Mitchell tells the truth. Ka says only one of Antwan, Millicent and Orin lies. Mina says Milo lies. Max says Muhammad tells the truth. Christie says only one of Teressa, Lalit and Marcus lies. Martha says Mehran lies. Dallas says Christie lies. Marina says Marvin lies. Do Kandi, Ryan, and Conception tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "f61626d72806581c5b74c9fb60f0c859e87cbddce107db565c83c354d284f974",
    "id": "bbeh:web_of_lies:101",
    "request": "In this question, assume each person either always tells the truth or always lies. Mustafa says Oakleigh lies. Maverick says Oakley lies. Oleg says Mickey lies. Madeleine says Melissa lies. Matthew says Milton tells the truth. Bernita says exactly two of Jaymie, Ozzy and Oda tell the truth. Sal tells the truth. Marshall says Mitchell lies. Kristian says either exactly two of Lorine, Matthew and Milton tell the truth or none of them. Otto says Ocean tells the truth. Ottoline says Mercedes tells the truth. Fletcher says exactly one of Vernell, Mona and Oona tells the truth.Jamey says only one of Vina, Ophelia and Mandy tells the truth. Ofelia says Oswin lies. Alejandro says either exactly two of Sal, Oriana and Michelle tell the truth or none of them. Oprah says Mindy tells the truth. Melissa says Madeleine lies. Micah says Mehran lies. Delfina says either exactly one of Gwenn, Ottoline and Mercedes tells the truth, or all three of them. Mackenzie says Malcolm tells the truth. Inga says either all three of Rashida, Mindy and Oprah lie, or two of them tell the truth. Oden says Oswin tells the truth. Delbert says only one of Alejandro, Morris and Uri tells the truth. Oona says Mona lies. Ozzy says Oda lies. Mandy says Mariah lies. Michelle says Oriana tells the truth. Uri says Kate lies. Orla says Oakleigh tells the truth. Crista says exactly two of Ryan, Ollie and Miguel tell the truth. Mehran says Micah lies. Morris says Kate tells the truth. Mona says Oona lies. Gwenn says exactly one of Inga, Melissa and Madeleine tell the truth. Vina says either exactly two of Crista, Owyn and Max tell the truth or none of them. Orlando says Ocean lies. Milton says Matthew tells the truth. Mitchell says Marshall lies. Shenna says exactly two of Fidel, Mickey and Oleg tell the truth. Owyn says Max tells the truth. Fidel says Shalonda tells the truth. Sherrie says Delbert tells the truth. Ryan says only one of Amberly, Otto and Orlando lies. Orson says Natasha lies. Vernell says Christie lies. Mercedes says Ottoline tells the truth. Max says Owyn tells the truth. Oriana says Michelle tells the truth. Oda says Ozzy lies. Jaymie says exactly two of Sherrie, Micah and Mehran tell the truth. Natasha says Orson lies. Oakley says Maverick lies. Miguel says Ollie lies. Lorine says exactly one of Delfina, Oakley and Maverick tells the truth.Ollie says Miguel lies. Ozzie says Malcolm lies. Mickey says Oleg lies. Amberly says only one of Shenna, Orla and Mustafa lies. Mindy says Oprah tells the truth. Ophelia says Mariah tells the truth. Christie says only one of Sima, Mackenzie and Ozzie tells the truth. Sima says Bernita, Oden and Ofelia all tell the truth. Shalonda says exactly two of Fletcher, Marshall and Mitchell tell the truth. Rashida says exactly one of Jamey, Natasha and Orson tell the truth. Do Delfina, Ophelia, and Kristian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
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    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "ee6cb554c39577204a249b222d66e5f0ce80ae738e5a565d1c25b84dfb613858",
    "id": "bbeh:web_of_lies:102",
    "request": "In this question, assume each person either always tells the truth or always lies. Mandy says Osborne tells the truth. Teressa says either exactly two of Jim, Ophelia and Odessa tell the truth or none of them. Madeleine says Natasha lies. Audrie says exactly two of Delbert, Muhammad and Otis tell the truth. Mustafa says Melanie tells the truth. Orin says Osian tells the truth. Maria says Morris tells the truth. Otis says Muhammad lies. Ophelia says Odessa tells the truth. Odile says Morris lies. Jerry says exactly two of Fidel, Natasha and Madeleine tell the truth. Megan says Octavia lies. Mark says Oleg tells the truth. Alexis says only one of Helene, Mustafa and Michelle tells the truth. Inga says exactly one of Crista, Milton and Micah tell the truth. Orion says Mackenzie lies. Elanor says exactly two of Audrie, Monica and Mercedes tell the truth. Osvaldo says Marsha tells the truth. Shaunda says only one of Inga, Virginia and Meredith lies. Christie says only one of Amberly, Olivia and Max tells the truth. Willian says Elanor, Osric and Olga all tell the truth. Milo says Mackenzie tells the truth. Melissa says Bahar lies. Shenna says Phoebe tells the truth. Vernell says exactly two of Gwenn, Megan and Octavia tells the truth. Michelle says Melanie lies. Conception says Shenna, Maria and Odile all tell the truth. Helene says either exactly one of Willian, Osian and Orin tells the truth, or all three of them. Max says Disha lies. Oriana says Marina tells the truth. Marina says Oriana tells the truth. Crista says Ka lies. Osian says Orin tells the truth. Kristian says either exactly two of Christie, Osvaldo and Marsha tell the truth or none of them. Osric says Oscar tells the truth. Mina says Murphy tells the truth. Oleg says Mark tells the truth. Delfina says Teressa tells the truth. Octavia says Megan lies. Marty says Bahar tells the truth. Jim says Jerry tells the truth. Ofelia says Oona lies. Monica says Mercedes lies. Bernita says either exactly one of Ryan, Oriana and Marina tells the truth, or all three of them. Milton says Micah lies. Olivia says Disha tells the truth. Micah says Milton lies. Ryan says either exactly one of Vernell, Mark and Oleg tells the truth, or all three of them. Virginia says Osbert tells the truth. Ka says only one of Conception, Milo and Orion lies. Mercedes says Monica lies. Marshall says Oona tells the truth. Fidel says Bernita lies. Odessa says Ophelia tells the truth. Amberly says Andree, Marty and Melissa all tell the truth. Fletcher says Delfina lies. Delbert says only one of Shaunda, Marshall and Ofelia tells the truth. Gwenn says either exactly two of Alexis, Mina and Murphy tell the truth or none of them. Phoebe tells the truth. Osborne says Mandy tells the truth. Natasha says Madeleine lies. Murphy says Mina tells the truth. Marsha says Osvaldo tells the truth. Meredith says Osbert lies. Muhammad says Otis lies. Olga says Oscar lies. Andree says either all three of Fletcher, Mandy and Osborne tell the truth or only one of them. Do Vernell, Olivia, and Kristian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
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    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "b6b81d3e27439205b3d0decc5c401e0491726d29452231232a8e058aa8aae405",
    "id": "bbeh:web_of_lies:105",
    "request": "In this question, assume each person either always tells the truth or always lies. Jaymie says exactly two of Sima, Oakley and Maya tells the truth. Orion says Ollie lies. Sherrie says either all three of Delbert, Orin and Mason lie, or two of them tell the truth. Osborne says Ozias tells the truth. Milton says Olga lies. Lalit says Mallory lies. Millie says Maria tells the truth. Dallas says either all three of Elanor, Maria and Millie lie, or two of them tell the truth. Orin says Mason tells the truth. Andree says either exactly two of Rashida, Muriel and Orson tell the truth or none of them. Morris says Melinda tells the truth. Melinda says Morris tells the truth. Micah says Natasha lies. Otis says Miriam tells the truth. Teressa says exactly one of Fletcher, Milton and Olga tells the truth.Elanor says Kristian, Onyx and Marcus all tell the truth. Christie says Raymond lies. Lorine says Tamika tells the truth. Uri says Mitchell lies. Odette says Sanket tells the truth. Orly says Octavia lies. Marina says Oprah lies. Conception says either exactly one of Ka, Miriam and Otis tells the truth, or all three of them. Maya says Oakley lies. Sima says exactly one of Christie, Mallory and Lalit tell the truth. Raymond says either exactly two of Dallas, Mike and Miranda tell the truth or none of them. Helene says either exactly two of Crista, Oleg and Megan tell the truth or none of them. Mike says Miranda tells the truth. Mason says Orin tells the truth. Oleg says Megan tells the truth. Kristian says exactly two of Willian, Micah and Natasha tell the truth. Leda says exactly two of Kandi, Marina and Oprah tells the truth. Rashida says only one of Bernita, Mickey and Orion tells the truth. Marcus says Owyn lies. Octavio says Mitchell tells the truth. Antwan says either exactly one of Conception, Morris and Melinda tells the truth, or all three of them. Muriel says Orson tells the truth. Mercedes says Murray lies. Bernita says Alejandro tells the truth. Ka says only one of Jaymie, Miguel and Osbert lies. Kandi says Sherrie lies. Maynard says Mariana tells the truth. Mickey says Ollie tells the truth. Crista says either all three of Inga, Odette and Sanket lie, or two of them tell the truth. Jamey says either exactly two of Sal, Meredith and Maxim tell the truth or none of them. Maxim says Meredith tells the truth. Oprah says Marina lies. Olga says Milton lies. Sal says Andree lies. Miranda says Mike tells the truth. Osbert says Marlon lies. Mallory says Lalit lies. Maria says Millie tells the truth. Orson says Muriel tells the truth. Murray says Mercedes lies. Phoebe says either all three of Jamey, Osborne and Ozias lie, or two of them tell the truth. Sanket says Odette tells the truth. Meredith says Maxim tells the truth. Onyx says Owyn tells the truth. Tamika says Jim lies. Delbert says exactly one of Phoebe, Octavia and Orly tell the truth. Inga says exactly one of Teressa, Mercedes and Murray tell the truth. Megan says Oleg tells the truth. Ozias says Osborne tells the truth. Fletcher says either exactly one of Leda, Maynard and Mariana tells the truth, or all three of them. Miguel says Marlon tells the truth. Oakley says Maya lies. Mariana says Maynard tells the truth. Jim lies. Natasha says Micah lies. Miriam says Otis tells the truth. Octavia says Orly lies. Willian says Lorine tells the truth. Alejandro says only one of Antwan, Octavio and Uri lies. Do Teressa, Kandi, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "507328a9f6d9d1d03d2f9d2496cff6a2cb3dd83440f8acaf86ea66ab032228b6",
    "id": "bbeh:web_of_lies:111",
    "request": "In this question, assume each person either always tells the truth or always lies. Vernell says only one of Jerry, Oran and Ottoline lies. Sima says Willian tells the truth. Alejandro says either exactly one of Shenna, Mickey and Hritik tells the truth, or all three of them. Shenna says only one of Alexis, Marvin and Owen lies. Onyx says Michaela tells the truth. Gwenn says Vernell tells the truth. Meadow says Martha tells the truth. Oran says Murray tells the truth. Owen says Melanie lies. Kate says Mina tells the truth. Minerva says Murphy tells the truth. Mason says Osborn tells the truth. Andree says either exactly one of Amberly, Murphy and Minerva tells the truth, or all three of them. Oleg says Mavis tells the truth. Ovid says Mallory tells the truth. Michael says Mavis lies. Muhammad says Oona tells the truth. Othello says Opal lies. Audrie says Alejandro lies. Virginia says Martha lies. Marty says Omar tells the truth. Kandi says either all three of Teressa, Kate and Mina lie, or two of them tell the truth. Murphy says Minerva tells the truth. Antwan says only one of Andree, Madison and Orin lies. Elanor says either all three of Jamey, Octavia and Olaf tell the truth or only one of them. Milton says Megan tells the truth. Willian says either all three of Kandi, Marty and Omar tell the truth or only one of them. Olaf says Octavia tells the truth. Jamey says only one of Leda, Meadow and Virginia lies. Madison says Olive tells the truth. Christie says Elanor tells the truth. Fidel says either all three of Shaunda, Osborn and Mason tell the truth or only one of them. Alexis says either exactly two of Fidel, Milton and Megan tell the truth or none of them. Amberly says exactly one of Christie, Opal and Othello tell the truth. Jerry says Sima lies. Marvin says Melanie tells the truth. Orin says Olive lies. Teressa says Audrie, Onyx and Oswin all tell the truth. Raymond says Gwenn lies. Mandy says Mallory lies. Leda tells the truth. Omar says Marty tells the truth. Mickey says Hritik tells the truth. Shaunda says only one of Crista, Mary and Maya tells the truth. Crista says only one of Rashida, Ovid and Mandy lies. Octavia says Olaf tells the truth. Osborn says Mason tells the truth. Mary says Max tells the truth. Mina says Kate tells the truth. Kristian says only one of Antwan, Oleg and Michael lies. Jim says either exactly one of Kristian, Muhammad and Oona tells the truth, or all three of them. Maya says Max lies. Rashida says Jim tells the truth. Oswin says Michaela lies. Megan says Milton tells the truth. Opal says Othello lies. Ottoline says Murray lies. Oona says Muhammad tells the truth. Hritik says Mickey tells the truth. Do Audrie, Mandy, and Raymond tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "37a76346943a8f9fbfa3853de6d5bbaf0731fe0a2605fa4e94cf9af9084fd94d",
    "id": "bbeh:web_of_lies:114",
    "request": "In this question, assume each person either always tells the truth or always lies. The person at the cafe saw a firetruck. Soren is at the school. Devika is at the gym. The person at the bookstore says the person at the planetarium tells the truth. Quan is at the cafe. Liam is at the farm. The person at the gym lies. The person at the movie theater lies. The person at the zoo thinks their friend is lying. Jaxon is at the train station. Elowen is at the planetarium. The person at the library says the person at the airport lies. The person at the zoo says the person at the park lies. The person at the museum says the person at the cafe lies. The person at the art gallery says the person at the airport lies. The person at the zoo says the person at the bookstore lies. Ayaan is at the bookstore. The person at the bookstore says the person at the cafe tells the truth. Charlie is at the vineyard. Max is at the library. The person at the bookstore thinks their neighbor is telling the truth. The person at the vineyard says the person at the zoo lies. Luna is at the airport. The person at the farm says the person at the airport tells the truth. Theo is at the park. The person at the school lies. Priya is at the art gallery. Tala is at the movie theater. Anika is at the museum. Emily is at the city hall. The person at the cafe tells the truth. Ethan is at the zoo. The person at the cafe says the person at the city hall tells the truth. The person at the airport says the person at the zoo tells the truth. The person at the train station lies. Does the person at the airport tell the truth? Does the person at the zoo tell the truth? Does the person at the bookstore tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "6eac99e698cbc7b4ca45015c2f968affc1e3dc408ce9beed192049b7bffe6551",
    "id": "bbeh:web_of_lies:117",
    "request": "In this question, assume each person either always tells the truth or always lies. Shalonda says exactly two of Vernell, Ocean and Mustafa tell the truth. Mariana says Melinda tells the truth. Mehran says Oprah lies. Mustafa says Ocean lies. Bernita says Yoland tells the truth. Alejandro says Delbert tells the truth. Minerva says Oswald lies. Malcolm says Mariah lies. Sima says exactly one of Christie, Monica and Misty tells the truth.Inga says Sherrie lies. Gwenn says Teressa lies. Mohamed says Marina tells the truth. Yoland says Leda lies. Vernell says Antwan lies. Crista says exactly two of Alejandro, Orla and Miles tells the truth. Delbert says exactly two of Audrie, Michael and Milo tells the truth. Teressa says Ryan lies. Shenna says exactly two of Gwenn, Mariah and Malcolm tells the truth. Oprah says Mehran lies. Morris says Disha tells the truth. Monica says Misty lies. Raymond says either all three of Crista, Morris and Disha lie, or two of them tell the truth. Sherrie says only one of Phoebe, Michelle and Omar lies. Marsha says Mitchell lies. Ryan says Vina, Ozzy and Minerva all tell the truth. Vina says exactly two of Jaymie, Mehran and Oprah tell the truth. Disha says Morris tells the truth. Melinda says Mariana tells the truth. Antwan says Alexis tells the truth. Marina says Mohamed tells the truth. Christie says either exactly two of Inga, Melinda and Mariana tell the truth or none of them. Jaymie says Sima tells the truth. Orla says Miles lies. Miles says Orla lies. Alexis says exactly two of Jamey, Mitchell and Marsha tells the truth. Ocean says Mustafa lies. Jamey says either exactly one of Shenna, Mohamed and Marina tells the truth, or all three of them. Audrie says Bernita tells the truth. Ozzy says Oswald tells the truth. Phoebe lies. Milo says Michael lies. Michael says Milo lies. Mitchell says Marsha lies. Misty says Monica lies. Omar says Marshall lies. Michelle says Marshall tells the truth. Leda says Shalonda tells the truth. Mariah says Malcolm lies. Do Antwan, Alejandro, and Raymond tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "b114dd51d2078a61554ea411bc33a993b77a6f45af332c49fec0846bfc008b96",
    "id": "bbeh:web_of_lies:121",
    "request": "In this question, assume each person either always tells the truth or always lies. Shalonda says exactly one of Bernita, Maximilian and Oda tell the truth. Lorine says only one of Alejandro, Murphy and Marsha tells the truth. Mickey says Olympia tells the truth. Mia says Matteo lies. Vernell says Leda tells the truth. Marsha says Ozzie lies. Conception says exactly one of Sima, Meadow and Virginia tells the truth.Merlin says Oakley tells the truth. Murphy says Ozzie tells the truth. Onyx says Oscar lies. Fidel says exactly two of Shenna, Mia and Matteo tell the truth. Owyn says Michael tells the truth. Jaymie says either all three of Antwan, Michael and Owyn tell the truth or only one of them. Antwan says exactly one of Willian, Oprah and Mary tells the truth.Meadow says Virginia lies. Yoland lies. Muriel says Miriam tells the truth. Matteo says Mia lies. Raymond says Shalonda tells the truth. Sima says Raymond tells the truth. Michelle says Osvaldo lies. Rashida says Lorine tells the truth. Crista says exactly one of Gwenn, Mandy and Olga tells the truth.Dallas says either all three of Phoebe, Mickey and Olympia tell the truth or only one of them. Margaret says Osian tells the truth. Oakleigh says Melvin lies. Shaunda says Ka, Mariah and Michelle all tell the truth. Osian says Margaret tells the truth. Bernita says Jamey lies. Olympia says Mickey tells the truth. Ka says Rashida tells the truth. Willian says Dallas lies. Mary says Oprah lies. Phoebe says either all three of Vernell, Margaret and Osian tell the truth or only one of them. Maximilian says Oda lies. Vina says Audrie lies. Mariah says Osvaldo tells the truth. Maya says Mariana tells the truth. Leda says either all three of Crista, Merlin and Oakley tell the truth or only one of them. Audrie says only one of Shaunda, Muriel and Mallory lies. Olga says Mandy lies. Oda says Maximilian lies. Amberly says only one of Jaymie, Disha and Oakleigh lies. Virginia says Meadow lies. Alejandro says either exactly one of Yoland, Mariana and Maya tells the truth, or all three of them. Disha says Melvin tells the truth. Oprah says Mary lies. Oscar says Onyx lies. Mandy says Olga lies. Mariana says Maya tells the truth. Owen says Martha lies. Gwenn says exactly one of Fidel, Onyx and Oscar tell the truth. Shenna says Conception tells the truth. Oakley says Merlin tells the truth. Michael says Owyn tells the truth. Mallory says Miriam lies. Martha says Owen lies. Jamey says exactly one of Vina, Martha and Owen tell the truth. Do Leda, Murphy, and Amberly tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
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    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "cac045137baa4f5ad7613c39376a01634eb38c3cb4c6ffd4e32aa10adab57b05",
    "id": "bbeh:web_of_lies:127",
    "request": "In this question, assume each person either always tells the truth or always lies. Mindy says Oona tells the truth. Sima says exactly two of Bernita, Disha and Melinda tells the truth. Oswald says Max tells the truth. Martin says Opal tells the truth. Oleg says Maxwell lies. Teressa says Jim tells the truth. Shaunda says either all three of Ryan, Muhammad and Maya tell the truth or only one of them. Maverick says Matteo tells the truth. Mary says Melvin lies. Michaela says Lalit lies. Crista says either all three of Yoland, Oswald and Max lie, or two of them tell the truth. Shalonda says either all three of Teressa, Mindy and Oona tell the truth or only one of them. Marsha says Omar lies. Audrie says Shalonda, Malcolm and Marsha all tell the truth. Andree says Jamey lies. Ozzy says Marina lies. Osian says Mike tells the truth. Fletcher says Antwan lies. Vina says either exactly two of Sherrie, Maverick and Matteo tell the truth or none of them. Orion says Mehran lies. Malcolm says Omar tells the truth. Willian tells the truth. Oliver says Lalit tells the truth. Mehran says Orion lies. Yoland says either exactly one of Ka, Miguel and Olaf tells the truth, or all three of them. Sal says exactly one of Shenna, Maxwell and Oleg tells the truth.Ottoline says Martha lies. Ka says Fletcher, Oliver and Michaela all tell the truth. Kandi says exactly two of Amberly, Ottoline and Martha tells the truth. Miguel says Olaf tells the truth. John says Maybelle lies. Melvin says Mary lies. Martha says Ottoline lies. Raymond says exactly two of Tamika, McKenzie and Ocean tell the truth. Sherrie says Andree tells the truth. Nishanth says Murray tells the truth. McKenzie says Ocean lies. Jamey says exactly two of Gwenn, Marina and Ozzy tells the truth. Matteo says Maverick tells the truth. Shenna says exactly two of Alejandro, Owyn and Miller tells the truth. Muhammad says Maya tells the truth. Jerry says Kandi tells the truth. Jim says exactly two of Crista, Maybelle and John tell the truth. Murray says Nishanth tells the truth. Tamika says exactly one of Delfina, Melvin and Mary tells the truth.Delfina says exactly two of Jerry, Mehran and Orion tells the truth. Owyn says Miller lies. Oona says Mindy tells the truth. Disha says Melinda lies. Antwan says either exactly two of Raymond, Opal and Martin tell the truth or none of them. Amberly says Sal lies. Miller says Owyn lies. Maya says Muhammad tells the truth. Olaf says Miguel tells the truth. Alejandro says Sima tells the truth. Uri says Mike lies. Melinda says Disha lies. Max says Oswald tells the truth. Maxwell says Oleg lies. Gwenn says either exactly one of Audrie, Nishanth and Murray tells the truth, or all three of them. Ryan says exactly one of Vina, Otis and Morgan tells the truth.Marina says Ozzy lies. Bernita says Willian, Osian and Uri all tell the truth. Otis says Morgan lies. Opal says Martin tells the truth. Maybelle says John lies. Ocean says McKenzie lies. Morgan says Otis lies. Do Sherrie, Disha, and Shaunda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
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    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "521a166943e39547b0a8575b147326ad5a0e522c6915b32b2005422a50eecc32",
    "id": "bbeh:web_of_lies:128",
    "request": "In this question, assume each person either always tells the truth or always lies. Mariah says Odette lies. Morris says Oden tells the truth. Ocean says Nishanth tells the truth. Maybelle says Orla tells the truth. Fidel says either exactly one of Conception, Ocean and Nishanth tells the truth, or all three of them. Jim says Fidel tells the truth. Conception says Shalonda tells the truth. Sal says exactly two of Raymond, Mavis and Meredith tell the truth. Sima says Jim lies. Matthew says Melinda lies. Molly says Onyx lies. Jerry says Kandi lies. Ollie says Odette tells the truth. Leda says either all three of Alejandro, Sanket and Opal lie, or two of them tell the truth. Alexis says Andree tells the truth. Osbert says Miranda lies. Raymond says exactly one of Willian, Molly and Onyx tells the truth.Murray says Michael tells the truth. Jamey says exactly one of Christie, Mary and Muriel tell the truth. Onyx says Molly lies. Jaymie says Ryan tells the truth. Mavis says Meredith lies. Olivia says Kate lies. Melanie says Ottoline tells the truth. Fletcher says Jamey tells the truth. Nishanth says Ocean tells the truth. Andree says Sima, Ollie and Mariah all tell the truth. Kate says Olivia lies. Inga says either exactly two of Sal, Michael and Murray tell the truth or none of them. Dallas says only one of Inga, Melanie and Owen tells the truth. Mary says Muriel lies. Osborne says Natasha lies. Miranda says Osbert lies. Milton says Ozzy lies. Christie says only one of Dallas, Maybelle and Bahar lies. Alejandro says only one of Jerry, Otis and Milton lies. Ryan says exactly one of Shaunda, Miranda and Osbert tell the truth. Bahar says Orla lies. Opal says Sanket tells the truth. Michaela says Morgan tells the truth. Willian says only one of Helene, Mindy and Osborne lies. Melinda says Matthew lies. Shaunda tells the truth. Morgan says Michaela tells the truth. Mindy says Natasha tells the truth. Oden says Morris tells the truth. Muriel says Mary lies. Michael says Murray tells the truth. Delbert says exactly one of Alexis, Matthew and Melinda tells the truth.Delfina says either exactly one of Fletcher, Michaela and Morgan tells the truth, or all three of them. Sanket says Opal tells the truth. Meredith says Mavis lies. Helene says exactly two of Jaymie, Kate and Olivia tells the truth. Otis says Ozzy tells the truth. Owen says Ottoline lies. Kandi says Delfina lies. Shalonda says either exactly two of Leda, Morris and Oden tell the truth or none of them. Do Jim, Sima, and Delbert tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
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    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "90d933363fea1b3a85282a838518d4e0fb9386a47a1fc59b807be044fd3106d1",
    "id": "bbeh:web_of_lies:130",
    "request": "In this question, assume each person either always tells the truth or always lies. Oswin says Mason lies. Natasha says Ozias tells the truth. Obadiah says Millie lies. Jaymie says either all three of Rashida, Morgan and Ocean tell the truth or only one of them. Kandi says either exactly two of Fletcher, Merlin and Melvin tell the truth or none of them. Uri says Oona lies. Mackenzie says Matteo tells the truth. Osian says Onyx lies. Vina says only one of Amberly, Mavis and Osian tells the truth. Mark says Misty tells the truth. Ocean says Morgan tells the truth. Crista says either all three of Jim, Mackenzie and Matteo tell the truth or only one of them. Jerry says exactly one of Crista, Oswin and Mason tell the truth. Osric says Odin tells the truth. Mavis says Onyx tells the truth. Oona says Uri lies. Oda says Osborne lies. Odile says Millie tells the truth. Matteo says Mackenzie tells the truth. Morris says Mary tells the truth. Rashida says exactly two of Ka, Oona and Uri tell the truth. Fidel says Phoebe, Odile and Obadiah all tell the truth. Fletcher says either all three of Andree, Mary and Morris lie, or two of them tell the truth. Marshall says Misty lies. Melvin says Merlin tells the truth. Merlin says Melvin tells the truth. Morgan says Ocean tells the truth. Jim tells the truth. Mason says Oswin lies. Ka says Vina tells the truth. Osborne says Oda lies. Alejandro says either all three of Kandi, Odin and Osric lie, or two of them tell the truth. Phoebe says either all three of Christie, Natasha and Ozias lie, or two of them tell the truth. Ozias says Natasha tells the truth. Christie says Jerry tells the truth. Odin says Osric tells the truth. Andree says exactly two of Fidel, Osborne and Oda tells the truth. Amberly says Alejandro, Mark and Marshall all tell the truth. Mary says Morris tells the truth. Do Ka, Natasha, and Jaymie tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "e94ac93f9f0446b53a160698bfde053763d8dd2241de274c6cbccbbfdc0a26a6",
    "id": "bbeh:web_of_lies:138",
    "request": "In this question, assume each person either always tells the truth or always lies. Osian says Mike tells the truth. Minerva says Marvin tells the truth. Michaela says Marina lies. Olaf says Miguel lies. Miguel says Olaf lies. Delfina says exactly two of Lorine, Michaela and Marina tells the truth. Ollie says Mason tells the truth. Othello says Mark tells the truth. Mariah says Oswald tells the truth. Delbert says only one of Conception, Martin and Martha lies. Marvin says Minerva tells the truth. Sal says either all three of Andree, Othello and Mark lie, or two of them tell the truth. Vernell says Tamika lies. Mariana says Maria tells the truth. Maya says Mason lies. Moses says Osmond tells the truth. Audrie says only one of Inga, Osian and Malcolm lies. Osborne says Olympia tells the truth. Shalonda says Fidel, Marty and Marcus all tell the truth. Fidel says exactly one of Kristian, Monica and Murphy tells the truth.Malcolm says Mike lies. Marina says Michaela lies. Odessa says Odette tells the truth. Sherrie says Vernell lies. Mehran says Maria lies. Martin says Miles tells the truth. Amberly says Dallas lies. Christie says exactly two of Phoebe, Miguel and Olaf tell the truth. Crista says either exactly two of Delbert, Odette and Odessa tell the truth or none of them. Kandi tells the truth. Andree says only one of Ryan, Moses and Melody lies. Mackenzie says Oriana lies. Uri says Matteo tells the truth. Obadiah says Oriana tells the truth. Ozzy says Mandy tells the truth. Mercedes says Orson lies. Alexis says only one of Shenna, Obadiah and Mackenzie lies. Inga says Kandi, Mariana and Mehran all tell the truth. Willian says either all three of Delfina, Uri and Matteo lie, or two of them tell the truth. Antwan says either all three of Sal, Oswald and Mariah tell the truth or only one of them. Vina says exactly two of Alexis, Megan and Milton tells the truth. Nishanth says Orhan lies. Kristian says only one of Crista, Orly and Nishanth lies. Melody says Osmond lies. Mark says Othello tells the truth. Phoebe says either all three of Antwan, Mandy and Ozzy tell the truth or only one of them. Conception says exactly one of Vina, Maurice and Osvaldo tells the truth.Matteo says Uri tells the truth. Marcus says Muriel lies. Oswald says Mariah tells the truth. Ryan says either exactly two of Sherrie, Minerva and Marvin tell the truth or none of them. Odette says Odessa tells the truth. Marty says Muriel tells the truth. Tamika says only one of Yoland, Ollie and Maya tells the truth. Dallas says Audrie tells the truth. Milton says Megan lies. Orly says Orhan tells the truth. Sima says exactly two of Amberly, Mercedes and Orson tell the truth. Mandy says Ozzy tells the truth. Monica says Murphy lies. Orlando says Oscar tells the truth. Mina says Ottoline tells the truth. Ottoline says Mina tells the truth. Murphy says Monica lies. Shenna says either exactly two of Christie, Ottoline and Mina tell the truth or none of them. Lorine says either exactly one of Shalonda, Orlando and Oscar tells the truth, or all three of them. Oscar says Orlando tells the truth. Yoland says Sima, Osborne and Murray all tell the truth. Maurice says Osvaldo lies. Murray says Olympia lies. Martha says Miles lies. Orson says Mercedes lies. Osvaldo says Maurice lies. Megan says Milton lies. Do Sal, Matteo, and Willian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
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    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "83d6c83d324838120f3954e8080a9225fd7ce71c0124c1d6bd60c4d36ccbd553",
    "id": "bbeh:web_of_lies:140",
    "request": "In this question, assume each person either always tells the truth or always lies. Millie says Orson lies. Othello says John tells the truth. Shaunda says exactly two of Delbert, Mariana and Milton tell the truth. Maxwell says Ollie tells the truth. Mariana says Milton lies. Delbert says Conception tells the truth. Ozzy says McKenzie lies. Mustafa says Oran lies. Mona says Micah tells the truth. Melody says Mike lies. Orlando says Mercedes tells the truth. Maya says Ophelia tells the truth. Dallas says either all three of Shalonda, Oriana and Lalit tell the truth or only one of them. Ocean says Miranda tells the truth. Osborn says Mindy lies. Millicent says John lies. Orson says Millie lies. Tamika says only one of Ryan, Owen and Morris lies. Shalonda says exactly two of Willian, Maybelle and Maximilian tell the truth. Maynard says Mindy tells the truth. Maybelle says Maximilian lies. Monica says Ophelia lies. Willian says exactly one of Vernell, Owyn and Octavian tells the truth.Andree says Leda tells the truth. Delfina says Shaunda, Maynard and Osborn all tell the truth. Inga says Rashida lies. Mark says Mike tells the truth. Conception says only one of Jaymie, Martin and Odin lies. Oran says Mustafa lies. Crista says exactly one of Sal, Oda and Virginia tells the truth.Audrie says exactly one of Ka, Oran and Mustafa tell the truth. McKenzie says Ozzy lies. Oda says Virginia lies. Leda tells the truth. Rashida says exactly one of Helene, Millie and Orson tells the truth.Jaymie says only one of Inga, Othello and Millicent tells the truth. Owyn says Octavian lies. Margaret says Mercedes lies. Oriana says Lalit tells the truth. Sal says Andree lies. Martin says Miriam tells the truth. Shenna says only one of Dallas, Maya and Monica lies. Odin says Miriam lies. Micah says Mona tells the truth. Morris says Ozzie lies. Virginia says Oda lies. Octavian says Owyn lies. Lalit says Oriana tells the truth. Owen says Ozzie tells the truth. Milton says Mariana lies. Sherrie says exactly two of Teressa, Ozzy and McKenzie tell the truth. Teressa says either all three of Delfina, Ollie and Maxwell lie, or two of them tell the truth. Miranda says Ocean tells the truth. Antwan says Shenna, Orlando and Margaret all tell the truth. Ka says only one of Sherrie, Mark and Melody lies. Fletcher says either exactly one of Antwan, Mona and Micah tells the truth, or all three of them. Maximilian says Maybelle lies. Ollie says Maxwell tells the truth. Ryan says Audrie lies. Helene says Fletcher tells the truth. Vernell says either exactly two of Crista, Ocean and Miranda tell the truth or none of them. Do Jaymie, Ka, and Tamika tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "e225a4bdb630f339069ca1ff30d120ba239527d21441cc77428c07bf3e3fe564",
    "id": "bbeh:web_of_lies:143",
    "request": "In this question, assume each person either always tells the truth or always lies. Mustafa says Maximilian lies. Lalit says Maxim tells the truth. Oona says Ovid tells the truth. Vina says Delfina, Lalit and Melvin all tell the truth. Leda says Jim tells the truth. Murray says Oriana tells the truth. Delbert says exactly two of Shaunda, Matthew and Ophelia tells the truth. Melvin says Maxim lies. Tamika says only one of Rashida, Octavian and Octavio lies. Matthew says Ophelia lies. Sima says either exactly two of Elanor, Miller and Oscar tell the truth or none of them. Orin says Osvaldo lies. Christie says Raymond tells the truth. Molly says Megan lies. Osvaldo says Orin lies. Ovid says Oona tells the truth. Alexis says either all three of Shalonda, Ovid and Oona lie, or two of them tell the truth. Shalonda says either exactly one of Lorine, Minerva and Oswald tells the truth, or all three of them. Shaunda says either exactly one of Inga, Nicole and Obadiah tells the truth, or all three of them. Amberly says exactly one of Christie, Molly and Megan tells the truth.Miller says Oscar tells the truth. Kristian says Sima lies. Inga says Shenna lies. Osmond says Mason tells the truth. Yoland tells the truth. Helene says Fletcher lies. Elanor says Amberly tells the truth. Jaymie says Kristian lies. Shenna says either all three of Jamey, Ofelia and Mackenzie tell the truth or only one of them. Mike says Mia lies. Fletcher says only one of Andree, Maverick and Mike tells the truth. Odessa says Oriana lies. Odysseus says Mindy tells the truth. Octavio says Virginia lies. Andree says either exactly one of Leda, Osmond and Mason tells the truth, or all three of them. Mackenzie says Ofelia tells the truth. Rashida says only one of Helene, Othello and Miguel lies. Mindy says Odysseus tells the truth. Raymond says either exactly one of Tamika, Odysseus and Mindy tells the truth, or all three of them. Nicole says Obadiah tells the truth. Oscar says Miller tells the truth. Delfina says Alexis tells the truth. Ophelia says Matthew lies. Maximilian says Mustafa lies. Jim says exactly two of Delbert, Osvaldo and Orin tells the truth. Minerva says Oswald tells the truth. Mason says Osmond tells the truth. Teressa says Yoland lies. Gwenn says exactly two of Vina, Mustafa and Maximilian tells the truth. Miguel says Olaf lies. Maverick says Mia tells the truth. Octavian says Virginia tells the truth. Jamey says Teressa lies. Megan says Molly lies. Othello says Olaf tells the truth. Obadiah says Nicole tells the truth. Lorine says only one of Jaymie, Murray and Odessa lies. Oswald says Minerva tells the truth. Ofelia says Mackenzie tells the truth. Do Fletcher, Orin, and Gwenn tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "e6cb672aa9766dea0af99514f0d26658929c0be0b6caadc72785ceb35cbc0847",
    "id": "bbeh:web_of_lies:146",
    "request": "In this question, assume each person either always tells the truth or always lies. Ozzie says Marvin tells the truth. Mina says Murray tells the truth. Vina says only one of Bernita, Sanket and Mike lies. Maria says Oran lies. Olive says Monica lies. Lorine says only one of Kandi, Bahar and Murphy tells the truth. Maximilian says Melanie tells the truth. Bernita says Dallas tells the truth. Marvin says Ozzie tells the truth. Mackenzie says Moses tells the truth. Sima says only one of Ryan, Mina and Hritik lies. Shaunda tells the truth. Ofelia says Michelle lies. Mitchell says Mindy tells the truth. Martin says Osborne lies. Sanket says Michael tells the truth. Mavis says Michelle tells the truth. Melissa says Maxim lies. Melanie says Maximilian tells the truth. Mindy says Mitchell tells the truth. Alejandro says only one of Audrie, Micah and Opal tells the truth. Odile says Melody lies. Micah says Orin tells the truth. Amberly says exactly two of Vernell, Osborne and Martin tell the truth. Maverick says Meadow lies. Ryan says exactly one of Crista, Maxim and Melissa tells the truth.Christie says either exactly one of Sherrie, Melanie and Maximilian tells the truth, or all three of them. Orly says Melody tells the truth. Hritik says Murray lies. Olaf says Oona tells the truth. Monica says Olive lies. Jaymie says exactly one of Amberly, Odysseus and Odell tell the truth. Octavian says Morris tells the truth. Vernell says Lorine tells the truth. Delfina says either exactly two of Gwenn, Olaf and Oona tell the truth or none of them. Oran says Maria lies. Mike says Michael lies. Kandi says either exactly one of Delbert, Moses and Mackenzie tells the truth, or all three of them. Dallas says Tamika, Orly and Odile all tell the truth. Murphy says Miriam lies. Gwenn says exactly one of Conception, Olive and Monica tells the truth.Odell says Odysseus lies. Crista says either exactly two of Shaunda, Mitchell and Mindy tell the truth or none of them. Shalonda says either all three of Christie, Ozzie and Marvin lie, or two of them tell the truth. Bahar says Miriam tells the truth. Ozzy says Octavio lies. Teressa says Jerry tells the truth. Octavio says Ozzy lies. Jerry says Shalonda, Mavis and Ofelia all tell the truth. Osborne says Martin lies. Maxim says Melissa lies. Oona says Olaf tells the truth. Sherrie says either exactly one of Jaymie, Morris and Octavian tells the truth, or all three of them. Moses says Mackenzie tells the truth. Opal says Orin lies. Tamika says exactly one of Teressa, Meadow and Maverick tells the truth.Odysseus says Odell lies. Morris says Octavian tells the truth. Meadow says Maverick lies. Audrie says Sima lies. Delbert says exactly one of Alejandro, Octavio and Ozzy tell the truth. Conception says exactly two of Vina, Oran and Maria tells the truth. Do Sherrie, Shalonda, and Delfina tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "512784b4a6dbed2629375fa70371667fb1392ece1da50974244e669294ef9420",
    "id": "bbeh:web_of_lies:147",
    "request": "In this question, assume each person either always tells the truth or always lies. Malcolm says Miller lies. Ryan says Amberly tells the truth. Owyn says Opal tells the truth. Christie says only one of Sherrie, Obadiah and Miguel lies. Bernita lies. Mina says Martha tells the truth. Orla says Orin lies. Tamika says Vina lies. Delfina says Andree tells the truth. Kandi says exactly one of Tamika, Omar and Uri tells the truth.Marlon says Octavian lies. Obadiah says Onyx tells the truth. Raymond says Conception lies. Alejandro says Delfina lies. Willian says exactly two of Elanor, Miller and Malcolm tell the truth. Minnie says Octavian tells the truth. Octavius says Oprah lies. Alexis says Alejandro tells the truth. Sherrie says Bernita tells the truth. Kristian says Lorine tells the truth. Miguel says Onyx lies. Uri says Omar lies. Conception says either exactly one of Christie, Martha and Mina tells the truth, or all three of them. Martha says Mina tells the truth. Elanor says Kandi tells the truth. Sal says exactly two of Teressa, Oprah and Octavius tells the truth. Andree says exactly one of Crista, Orin and Orla tells the truth.Lorine says only one of Jaymie, Minnie and Marlon lies. Gwenn says only one of Willian, Owyn and Oakleigh lies. Miller says Malcolm lies. Oliver says Ozzie lies. Jaymie says Gwenn tells the truth. Oakleigh says Opal lies. Crista says Kristian lies. Oscar says Maxwell lies. Omar says Uri lies. Maxwell says Oscar lies. Vina says Ryan tells the truth. Amberly says exactly two of Raymond, Ozzie and Oliver tell the truth. Orin says Orla lies. Teressa says exactly two of Alexis, Maxwell and Oscar tells the truth. Ozzie says Oliver lies. Oprah says Octavius lies. Do Alexis, Miller, and Sal tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "f0103741a9541770c722ff3a937bf451562a3de712a2691733eb8dac6c7cae36",
    "id": "bbeh:web_of_lies:153",
    "request": "In this question, assume each person either always tells the truth or always lies. Maxwell says Matteo tells the truth. Mona says Osian tells the truth. Crista says exactly two of Vina, Odile and Owyn tell the truth. Owyn says Odile lies. Octavius says Miles lies. Delfina says exactly two of Rashida, Mustafa and Oakley tells the truth. Jamey says Yoland, Molly and Matthew all tell the truth. Maynard says Maximilian lies. Marlon says Moses lies. Shenna says exactly two of Sherrie, Octavius and Miles tell the truth. Bernita lies. Max says Hritik tells the truth. Ocean says Mateo lies. Teressa says either exactly two of Crista, Owen and Madeleine tell the truth or none of them. Hritik says Max tells the truth. Rashida says either exactly one of Jamey, Miguel and Odette tells the truth, or all three of them. Matteo says Maxwell tells the truth. Sherrie says either all three of Kandi, Max and Hritik lie, or two of them tell the truth. Miles says Octavius lies. Miguel says Odette tells the truth. Orion says Mateo tells the truth. Ollie says Maria lies. Odile says Owyn lies. Ottoline says Othello tells the truth. Vina says only one of Shaunda, Miriam and Marlon tells the truth. Miriam says Moses tells the truth. Antwan says either exactly one of Bernita, Osian and Mona tells the truth, or all three of them. Shaunda says either exactly one of Antwan, Othello and Ottoline tells the truth, or all three of them. Matthew says Morris lies. Molly says Morris tells the truth. Kristian says Shenna, Orion and Ocean all tell the truth. Maria says Ollie lies. Fletcher says exactly two of Kristian, Ollie and Maria tells the truth. Othello says Ottoline tells the truth. Yoland says exactly one of Teressa, Maynard and Maximilian tells the truth.Kandi says either exactly one of Delfina, Maxwell and Matteo tells the truth, or all three of them. Mustafa says Oakley lies. Oakley says Mustafa lies. Odette says Miguel tells the truth. Maximilian says Maynard lies. Owen says Madeleine tells the truth. Madeleine says Owen tells the truth. Osian says Mona tells the truth. Do Sherrie, Kandi, and Fletcher tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
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    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "664ed29d215af898286ff99f7291e1f3fa69832ddac2577c03e7a177bf81cb84",
    "id": "bbeh:web_of_lies:154",
    "request": "In this question, assume each person either always tells the truth or always lies. Owen says Kate lies. Maverick says Minnie lies. Sima says exactly one of Alejandro, Megan and Opal tells the truth.Odile says Michael tells the truth. Madison says Monica tells the truth. Mario says Mandy lies. Martha says Odin lies. Moses says Otto lies. Shalonda says exactly two of Audrie, Owen and Kate tell the truth. Onyx says Mackenzie lies. Kristian lies. Jamey says exactly one of Sima, Maybelle and Olga tell the truth. Tamika says only one of Amberly, Octavio and Odysseus tells the truth. Audrie says only one of Kristian, Oran and Melody tells the truth. Maybelle says Olga lies. Sherrie says either all three of Leda, Merlin and Millie lie, or two of them tell the truth. Olive says Uri tells the truth. Olga says Maybelle lies. Othello says Orhan tells the truth. Ofelia says Maximilian tells the truth. Melody says Mark lies. Gwenn says Yoland tells the truth. Minnie says Maverick lies. Orhan says Othello tells the truth. Shaunda says only one of Delbert, Melissa and Martha tells the truth. Natasha says Orion lies. Conception says either all three of Vernell, Meredith and Octavius lie, or two of them tell the truth. Octavio says Millicent tells the truth. Delbert says either exactly one of Kandi, Othello and Orhan tells the truth, or all three of them. Mackenzie says Onyx lies. Monica says Madison tells the truth. Opal says Megan lies. Megan says Opal lies. Odysseus says Millicent lies. Kate says Owen lies. Disha says Miller lies. Vernell says Sherrie lies. Ryan says exactly one of Vina, Onyx and Mackenzie tells the truth.Meredith says Octavius tells the truth. Maximilian says Ofelia tells the truth. Uri says Olive tells the truth. Melissa says Odin tells the truth. Murphy says Oden lies. Oona says Marlon lies. Otto says Moses lies. Fidel says Tamika lies. Millie says Merlin tells the truth. Octavius says Meredith tells the truth. Oran says Mark tells the truth. Orion says Natasha lies. Melvin says Marlon tells the truth. Kandi says exactly one of Ryan, Disha and Miller tell the truth. Merlin says Millie tells the truth. Ka says exactly two of Lorine, Natasha and Orion tells the truth. Yoland says Raymond tells the truth. Miller says Disha lies. Lorine says either exactly two of Shaunda, Olive and Uri tell the truth or none of them. Crista says exactly two of Gwenn, Moses and Otto tell the truth. Amberly says Alexis, Mickey and Mario all tell the truth. Raymond says either all three of Fidel, Madison and Monica lie, or two of them tell the truth. Alexis says exactly two of Shalonda, Murphy and Oden tell the truth. Leda says exactly two of Phoebe, Minnie and Maverick tells the truth. Oleg says Michael lies. Oden says Murphy lies. Vina says either exactly two of Crista, Maximilian and Ofelia tell the truth or none of them. Phoebe says only one of Ka, Odile and Oleg lies. Alejandro says Conception, Melvin and Oona all tell the truth. Mickey says Mandy tells the truth. Do Sherrie, Ka, and Jamey tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "cf3a19f189ceaa93b62578ac15a617c2bd2bdd8bbd5a5ff0d342da22cdead5bc",
    "id": "bbeh:web_of_lies:156",
    "request": "In this question, assume each person either always tells the truth or always lies. Sherrie says Kristian tells the truth. Shaunda says either exactly two of Phoebe, Madeleine and Misty tell the truth or none of them. Mike says Orlando lies. Onyx says Mary tells the truth. Marty says Sanket tells the truth. Kristian says Delfina lies. Owen says Martha tells the truth. Orlando says Mike lies. Oliver says Miles tells the truth. Yoland says either exactly two of Jaymie, Oswin and Oprah tell the truth or none of them. Milton says Osborn tells the truth. Tamika says only one of Sherrie, Merlin and Morris tells the truth. Marlon says Orla lies. Andree says Lorine lies. Marcus says Michaela tells the truth. Misty says Madeleine tells the truth. Natasha says Monica tells the truth. Lalit says Meredith lies. Raymond says only one of Fletcher, Oscar and Minerva tells the truth. Oakleigh says Oswald lies. Orla says Marlon lies. Michaela says Marcus tells the truth. Shalonda lies. Mary says Onyx tells the truth. Max says Uri lies. Miles says Oliver tells the truth. Ozzie says Martin tells the truth. Oprah says Oswin tells the truth. Matthew says Uri tells the truth. Octavian says Monica lies. Leda says either all three of Gwenn, Mary and Onyx lie, or two of them tell the truth. Antwan says only one of Shaunda, Otis and Lalit tells the truth. Phoebe says Amberly lies. Oscar says Mateo tells the truth. Maynard says Mark tells the truth. Willian says only one of Tamika, Matthew and Max lies. Osian says Miguel lies. Kandi says only one of Rashida, Mohamed and Oakleigh tells the truth. Ovid says Osvaldo tells the truth. Amberly says Fidel lies. Mohamed says Oswald tells the truth. Merlin says Othello tells the truth. Madeleine says Misty tells the truth. Ka says Raymond tells the truth. Lorine says exactly one of Vina, Orlando and Mike tell the truth. Oswin says Oprah tells the truth. Crista says exactly two of Shalonda, Miguel and Osian tells the truth. Osvaldo says Ovid tells the truth. Conception says Leda lies. Ryan says either exactly one of Jim, Milton and Osborn tells the truth, or all three of them. Jaymie says either all three of Andree, Miles and Oliver tell the truth or only one of them. Elanor says only one of Yoland, Millie and Mandy tells the truth. Murray says Martin lies. Rashida says either exactly two of Ka, Ovid and Osvaldo tell the truth or none of them. Delfina says exactly two of Antwan, Orla and Marlon tell the truth. Inga says either all three of Christie, Mark and Maynard lie, or two of them tell the truth. Martha says Owen tells the truth. Gwenn says Elanor, Ozzie and Murray all tell the truth. Minerva says Mateo lies. Osborn says Milton tells the truth. Otis says Meredith tells the truth. Fidel says only one of Inga, Natasha and Octavian lies. Mandy says Melinda lies. Christie says either exactly one of Ryan, Owen and Martha tells the truth, or all three of them. Millie says Melinda tells the truth. Maximilian says Sanket lies. Mark says Maynard tells the truth. Jim says Kandi, Marty and Maximilian all tell the truth. Fletcher says Crista tells the truth. Vina says either all three of Willian, Marcus and Michaela tell the truth or only one of them. Morris says Othello lies. Miguel says Osian lies. Do Antwan, Oliver, and Conception tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "32366cd8edc4fabf90e7a06153b38a06e8a10bc485624a2ea89291e222302309",
    "id": "bbeh:web_of_lies:161",
    "request": "In this question, assume each person either always tells the truth or always lies. McKenzie says Opal tells the truth. Omar says Ophelia tells the truth. Kandi tells the truth. Elanor says Delbert lies. Delbert says Crista, Odette and Milton all tell the truth. Olga says Ophelia lies. Mandy says Otto lies. Oona says Orin lies. Raymond says Audrie lies. Owen says Martha lies. Willian says Kristian, Omar and Olga all tell the truth. Kristian says Sherrie tells the truth. Oprah says Mallory lies. Crista says either all three of Raymond, Mercedes and Murray lie, or two of them tell the truth. Melinda says Mallory tells the truth. Matthew says Mario lies. Melvin says Mickey lies. Mario says Matthew lies. Antwan says either exactly two of Kandi, Octavius and Mohamed tell the truth or none of them. Odile says John tells the truth. Madison says Orin tells the truth. Sherrie says exactly two of Leda, Melvin and Mickey tell the truth. Otto says Mandy lies. Opal says McKenzie tells the truth. Leda says either all three of Dallas, McKenzie and Opal tell the truth or only one of them. Rashida says only one of Elanor, Madison and Oona lies. Teressa says exactly one of Vernell, Otto and Mandy tell the truth. Milo says Oswald lies. Onyx says Uri lies. Audrie says Ryan tells the truth. Mickey says Melvin lies. Merlin says Martha tells the truth. Vernell says only one of Willian, Melinda and Oprah tells the truth. Octavius says Mohamed tells the truth. Yoland says only one of Rashida, Merlin and Owen lies. Odette says Michael tells the truth. Ryan says exactly one of Andree, Uri and Onyx tells the truth.Delfina says either all three of Teressa, Odile and John lie, or two of them tell the truth. Mohamed says Octavius tells the truth. Oswald says Milo lies. Murray says Mercedes tells the truth. Andree says exactly one of Delfina, Matthew and Mario tell the truth. Milton says Michael lies. John says Odile tells the truth. Dallas says exactly one of Antwan, Oswald and Milo tells the truth.Mercedes says Murray tells the truth. Uri says Onyx lies. Do Delbert, Raymond, and Yoland tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "388e52da431fae8b866a2110d269880a42c71dd68bd210f3321f6a14d99482e3",
    "id": "bbeh:web_of_lies:166",
    "request": "In this question, assume each person either always tells the truth or always lies. Alexis says Jerry lies. Yoland says either exactly one of Delfina, Maynard and Orion tells the truth, or all three of them. Othello says Bahar lies. Octavius says Martha tells the truth. Miriam says Mehran tells the truth. Mackenzie says Matteo lies. Jerry says Tamika tells the truth. Minnie says Olaf lies. Fletcher says only one of Sima, Odysseus and Mario lies. Sal says only one of Jamey, Octavius and Mariana lies. Jaymie says exactly two of Teressa, Olaf and Minnie tells the truth. Mariana says Martha lies. Uri says Bahar tells the truth. Osborne says Ocean lies. Mustafa says Mitchell tells the truth. Odin says Omar lies. Sima says Phoebe tells the truth. Helene says Sal tells the truth. Madeleine says Mickey lies. Orion says Maynard tells the truth. Tamika says exactly one of Jim, Ocean and Osborne tell the truth. Madison says Meadow tells the truth. Molly says Merlin lies. Phoebe says only one of Yoland, Uri and Othello lies. Mickey says Madeleine lies. Osric says Mitchell lies. Raymond says Andree tells the truth. Teressa says Audrie tells the truth. Jim says only one of Ryan, Mustafa and Osric lies. Audrie says only one of Amberly, Orin and Odin lies. Milton says Melody tells the truth. Odysseus says Marvin tells the truth. Vina says either all three of Fletcher, Melody and Milton lie, or two of them tell the truth. Jamey says either all three of Alexis, Meadow and Madison tell the truth or only one of them. Olaf says Minnie lies. Matteo says Mackenzie lies. Mario says Marvin lies. Orin says Omar tells the truth. Andree says either exactly two of Vina, Mehran and Miriam tell the truth or none of them. Melody says Milton tells the truth. Mehran says Miriam tells the truth. Alejandro lies. Amberly says exactly two of Alejandro, Madeleine and Mickey tells the truth. Delfina says exactly two of Jaymie, Merlin and Molly tells the truth. Ocean says Osborne lies. Merlin says Molly lies. Ryan says exactly one of Raymond, Mackenzie and Matteo tells the truth.Maynard says Orion tells the truth. Meadow says Madison tells the truth. Do Alexis, Tamika, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "b3634d092958655584feb5d1ee8ad23ea21b62ffeacceae2d07d7f801d564326",
    "id": "bbeh:web_of_lies:168",
    "request": "In this question, assume each person either always tells the truth or always lies. Emily is at the farm. The person at the museum says the person at the vineyard tells the truth. The person at the vineyard says the person at the park lies. The person at the museum thinks their neighbor is telling the truth. Elowen is at the planetarium. The person at the art gallery says the person at the hotel lies. Isabella is at the botanical garden. The person at the vineyard says the person at the city hall lies. Hiroshi is at the library. Charlie is at the amusement park. The person at the planetarium says the person at the city hall lies. The person at the vineyard says the person at the gym tells the truth. Anika is at the park. Mateo is at the museum. The person at the vineyard saw a firetruck. The person at the city hall lies. The person at the ice skating rink tells the truth. The person at the airport tells the truth. The person at the library lies. Grace is at the vineyard. The person at the city hall saw a firetruck. The person at the museum thinks their friend is lying. Luna is at the ice skating rink. Beatriz is at the campground. Ayaan is at the gym. Max is at the airport. Quan is at the hotel. The person at the aquarium says the person at the vineyard lies. The person at the campground tells the truth. The person at the art gallery says the person at the museum tells the truth. The person at the amusement park tells the truth. The person at the museum says the person at the botanical garden lies. Soren is at the art gallery. Kehinde is at the aquarium. Ethan is at the city hall. The person at the farm says the person at the city hall tells the truth. Does the person at the art gallery tell the truth? Does the person at the museum tell the truth? Does the person at the vineyard tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "327031af79a6b9acddf6d857c81a94757f7f0a116eb48be94180d9dcc19d13f9",
    "id": "bbeh:web_of_lies:175",
    "request": "In this question, assume each person either always tells the truth or always lies. Marlon says Maxim tells the truth. Maria says Minerva tells the truth. Michaela says Odin tells the truth. Millicent says Odin lies. Conception says Ka lies. Octavio says Orla tells the truth. Malcolm says Odysseus lies. Oliver says Mercedes tells the truth. Christie says Vernell tells the truth. Fletcher says Leda tells the truth. Vina says Conception, Michaela and Millicent all tell the truth. Crista says Jaymie lies. Minerva says Maria tells the truth. Ka says Inga lies. Inga says only one of Kandi, Octavia and Melissa lies. Olive says Mehran tells the truth. Alexis says only one of Bernita, Oliver and Ollie lies. Onyx says Moses tells the truth. Miller says Michelle lies. Mateo says Moses lies. Jaymie says only one of Audrie, Osborn and Malcolm tells the truth. Vernell says either exactly two of Shalonda, Minerva and Maria tell the truth or none of them. Leda says either all three of Elanor, Mariah and Oda lie, or two of them tell the truth. Kandi says only one of Crista, Octavio and Bahar tells the truth. Audrie says exactly two of Dallas, Miller and Michelle tells the truth. Ovid says Mehran lies. Bahar says Orla lies. Mariah says Oda tells the truth. John says Maxim lies. Oda says Mariah tells the truth. Helene says Gwenn, Mario and Oprah all tell the truth. Octavia says Hritik tells the truth. Oprah says Oran lies. Melissa says Hritik lies. Gwenn says only one of Vina, Osian and Melody tells the truth. Michelle says Miller lies. Dallas says Alexis, Onyx and Mateo all tell the truth. Mario says Oran tells the truth. Elanor lies. Ollie says Mercedes lies. Shalonda says only one of Fletcher, Marlon and John lies. Osborn says Odysseus tells the truth. Bernita says only one of Christie, Olive and Ovid tells the truth. Osian says Ozzie tells the truth. Melody says Ozzie lies. Do Inga, Moses, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "3e29e62671b4a9276526b260d06a97ee9b8f139b217ee400f47050ac3a210fef",
    "id": "bbeh:web_of_lies:176",
    "request": "In this question, assume each person either always tells the truth or always lies. Kristian says exactly two of Raymond, Melvin and Olympia tells the truth. Christie says only one of Kristian, Octavius and Mariah lies. Alexis says Jamey tells the truth. Mandy says Oriana lies. Orla says Maya tells the truth. Marina says Natasha tells the truth. Oakleigh says Mickey tells the truth. Delfina says either exactly two of Delbert, McKenzie and Milo tell the truth or none of them. Vina says exactly two of Lorine, Martha and Odysseus tells the truth. Mateo says Marsha tells the truth. Miranda says Muriel tells the truth. Mia says Osbert tells the truth. Rashida says either all three of Alexis, Mickey and Oakleigh tell the truth or only one of them. Milton says Muriel lies. Octavius says Octavia tells the truth. Dallas says Sherrie, Oprah and Mackenzie all tell the truth. Oakley says Bahar lies. Ollie says Morris tells the truth. Maxim says Marsha lies. Olympia says Melvin lies. Jaymie says Andree tells the truth. Morris says Ollie tells the truth. Melvin says Olympia lies. Yoland says Teressa lies. Milo says McKenzie tells the truth. Jamey says only one of Willian, Mia and Oscar tells the truth. Sherrie says exactly one of Yoland, Bahar and Oakley tells the truth.Delbert says Shenna tells the truth. Jim says only one of Rashida, Merlin and Monica lies. Lalit says Maya lies. Miles says Osvaldo lies. Andree says either exactly one of Tamika, Morris and Ollie tells the truth, or all three of them. Alejandro says Vina tells the truth. Oscar says Osbert lies. Tamika says only one of Inga, Melinda and Miles lies. Margaret says Mohamed tells the truth. Bahar says Oakley lies. Raymond lies. Fletcher says only one of Alejandro, Marina and Ozzy lies. Ozzy says Natasha lies. Odette says Ozias lies. Phoebe says Jim, Miranda and Milton all tell the truth. Oriana says Mandy lies. Odile says Mike tells the truth. Shenna says exactly one of Conception, Oriana and Mandy tells the truth.Kandi says only one of Phoebe, Orla and Lalit lies. Teressa says only one of Jaymie, Margaret and Mariana tells the truth. Odysseus says Martha lies. Ozias says Odette lies. Mackenzie says Obadiah lies. Lorine says exactly two of Dallas, Ozias and Odette tells the truth. Melinda says Osvaldo tells the truth. Mariana says Mohamed lies. McKenzie says Milo tells the truth. Sanket says Mike lies. Mariah says Octavia lies. Inga says only one of Delfina, Mateo and Maxim lies. Conception says Christie tells the truth. Mickey says Oakleigh tells the truth. Monica says Mona lies. Willian says only one of Fletcher, Odile and Sanket lies. Oprah says Obadiah tells the truth. Martha says Odysseus lies. Merlin says Mona tells the truth. Do Phoebe, Mona, and Kandi tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "d6a5ca24a55083848a53b501e754cc9663c0d06a568bcbe8f35215bc103cdffa",
    "id": "bbeh:web_of_lies:181",
    "request": "In this question, assume each person either always tells the truth or always lies. Osian says Ottoline tells the truth. Jamey says Alejandro lies. Oona says Virginia lies. Maverick says Mason tells the truth. Miriam says Maynard tells the truth. Sima says exactly one of Ryan, Morgan and Melinda tells the truth.Micah says Maynard lies. Oakley says Oprah lies. Inga says only one of Sima, Ovid and Marvin lies. Ryan lies. Amberly says only one of Fletcher, Odysseus and Misty lies. Lalit says Moses tells the truth. Antwan says only one of Dallas, Osian and Mustafa lies. Osric says Uri lies. Nishanth says Ozias tells the truth. Leda says exactly one of Rashida, Orly and Ollie tell the truth. Shenna says only one of Delbert, Bahar and Osric lies. Nicole says Miguel lies. Mallory says Olaf tells the truth. Ollie says Orly lies. Shaunda says only one of Helene, Margaret and Maybelle lies. Orly says Ollie lies. Dallas says only one of Yoland, Maverick and Kate tells the truth. Odysseus says Marsha tells the truth. Delfina says only one of Jamey, Miriam and Micah lies. Ozias says Nishanth tells the truth. Alejandro says either all three of Jaymie, Madeleine and Orson tell the truth or only one of them. Melinda says Morgan lies. Miles says Melody tells the truth. Christie says only one of Andree, Obadiah and Mateo lies. Margaret says Oliver tells the truth. Fletcher says Sal tells the truth. Andree says only one of Antwan, Mallory and Mark lies. Jaymie says Kristian lies. Kate says Mason lies. Mateo says Oran lies. Kristian says either exactly two of Shalonda, Melody and Miles tell the truth or none of them. Mustafa says Ottoline lies. Merlin says Moses lies. Ovid says Opal tells the truth. Maybelle says Oliver lies. Alexis says exactly one of Leda, Oona and Virginia tells the truth.Misty says Marsha lies. Matteo says Michael tells the truth. Tamika says either all three of Alexis, Michael and Matteo tell the truth or only one of them. Morgan says Melinda lies. Madeleine says Orson tells the truth. Melody says Miles tells the truth. Virginia says Oona lies. Helene says only one of Inga, Lalit and Merlin lies. John says Oprah tells the truth. Shalonda says only one of Shenna, John and Oakley tells the truth. Rashida says Shaunda tells the truth. Michael says Matteo tells the truth. Fidel says Christie lies. Marvin says Opal lies. Bahar says Uri tells the truth. Sal says Tamika lies. Mark says Olaf lies. Miguel says Nicole lies. Orson says Madeleine tells the truth. Obadiah says Oran tells the truth. Yoland says exactly two of Amberly, Nicole and Miguel tells the truth. Delbert says either exactly one of Fidel, Nishanth and Ozias tells the truth, or all three of them. Do Dallas, Amberly, and Delfina tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "1357be96900ae5314e050ea3ecfe2d4c71b95b27cdc2fc68d43996a96c9d50fc",
    "id": "bbeh:web_of_lies:182",
    "request": "In this question, assume each person either always tells the truth or always lies. Hiroshi is at the farm. The person at the school tells the truth. The person at the train station says the person at the airport tells the truth. Nia is at the train station. The person at the city hall lies. Max is at the bowling alley. Quan is at the city hall. Theo is at the planetarium. The person at the museum tells the truth. The person at the observatory says the person at the airport lies. The person at the airport says the person at the bowling alley tells the truth. The person at the farm says the person at the barbershop lies. Ryan is at the school. Farid is at the airport. The person at the farm says the person at the theater tells the truth. The person at the planetarium says the person at the city hall lies. Tala is at the museum. Charlie is at the theater. The person at the barbershop says the person at the city hall tells the truth. The person at the observatory says the person at the shopping mall lies. The person at the airport says the person at the farm tells the truth. The person at the beach says the person at the city hall lies. Jaxon is at the beach. Liam is at the barbershop. The person at the airport says the person at the movie theater tells the truth. Kehinde is at the shopping mall. Ethan is at the movie theater. Mateo is at the observatory. Zara is at the vineyard. The person at the barbershop says the person at the vineyard lies. Does the person at the observatory tell the truth? Does the person at the airport tell the truth? Does the person at the farm tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "2d543c28afcadf3a108217cec374e8f2e7613520668d94ab29fe8f75c7a8544d",
    "id": "bbeh:web_of_lies:195",
    "request": "In this question, assume each person either always tells the truth or always lies. Osbert says Maria tells the truth. Marty says Maybelle lies. Phoebe lies. Oda says Disha tells the truth. Leda says only one of Vernell, Minnie and Minerva lies. Sal says only one of Alexis, Mina and John tells the truth. Crista says only one of Andree, Olivia and Ozzie tells the truth. Teressa says exactly two of Sal, Ocean and Mario tell the truth. Antwan says Phoebe lies. Orson says Mariah tells the truth. Oscar says Melvin tells the truth. John says Octavia lies. Jamey says only one of Jaymie, Owen and Odette lies. Andree says either exactly one of Sherrie, Disha and Oda tells the truth, or all three of them. Jaymie says exactly one of Antwan, Maybelle and Marty tell the truth. Alexis says either exactly one of Jerry, Mariah and Orson tells the truth, or all three of them. Mariah says Orson tells the truth. Ocean says Mario lies. Omar says Maria lies. Vina says only one of Ka, Oscar and Mallory lies. Ozzie says Marshall lies. Fidel says Teressa lies. Mario says Ocean lies. Ka says Jamey lies. Sherrie says Fletcher lies. Owen says Melinda tells the truth. Minerva says Hritik lies. Fletcher says either all three of Gwenn, Madison and Ottoline lie, or two of them tell the truth. Disha says Oda tells the truth. Madison says Ottoline tells the truth. Odette says Melinda lies. Minnie says Hritik tells the truth. Olivia says Marshall tells the truth. Mustafa says Ophelia lies. Maybelle says Marty lies. Ottoline says Madison tells the truth. Mina says Octavia tells the truth. Vernell says exactly two of Crista, Osborn and Oliver tell the truth. Ophelia says Mustafa lies. Osborn says Oliver lies. Jerry says exactly one of Vina, Mustafa and Ophelia tell the truth. Mallory says Melvin lies. Gwenn says only one of Fidel, Osbert and Omar lies. Oliver says Osborn lies. Do Andree, Gwenn, and Leda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, <unknown, no, yes> or <yes, yes, yes>.",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "web_of_lies"
  },
  {
    "dataset": "bbeh",
    "family": "c777bf4601a4746c4763352e6a657c9a7da4a2e06c40c44a7de546ab3844d7f7",
    "id": "bbeh:word_sorting:005",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that r and m are swapped. Sort the following words with the new alphabet and separate them with comma: organizations, rationalizations, misrepresentations, skimpy, congratulations, oversimplifications, zoroaster",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "bc6b7a773f9d8a9ab81ec682636204302e874be97254106bdca016ef615ce75e",
    "id": "bbeh:word_sorting:008",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: herkimer articulate ginsburg anneal store choctaw pottery chevy gingham\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"herkimer\": \"h\" (8). \"articulate\": \"a\" (1). \"ginsburg\": \"g\" (7). \"anneal\": \"a\" (1). \"store\": \"s\" (19). \"choctaw\": \"c\" (3). \"pottery\": \"p\" (16). \"chevy\": \"c\" (3). \"gingham\": \"g\" (7).\nThought 2: We now have: (1) [\"articulate\" ? \"anneal\"] < (3) [\"chevy\" ? \"choctaw\"] < (7) [\"ginsburg\" ? \"gingham\"] < (8) \"herkimer\" < (16) \"pottery\" < (19) \"store\".\nThought 3: Now let's sort this subpart [\"articulate\" ? \"anneal\"] by looking at their second letters. The second letter: \"articulate\": \"r\" (18). \"anneal\": \"n\" (14).\nThought 4: We now have: (14) \"anneal\" < (18) \"articulate\" for the subpart. Hence, we have \"anneal\" < \"articulate\" < [\"chevy\" ? \"choctaw\"] < [\"ginsburg\" ? \"gingham\"] < \"herkimer\" < \"pottery\" < \"store\".\nThought 5: Now let's sort this subpart [\"chevy\" ? \"choctaw\"] by looking at their second letters. The second letter: \"chevy\": \"h\" (8). \"choctaw\": \"h\" (8).\nThought 6: We now have: (8) [\"chevy\" ? \"choctaw\"] for the subpart. Hence, we have \"anneal\" < \"articulate\" < [\"chevy\" ? \"choctaw\"] < [\"ginsburg\" ? \"gingham\"] < \"herkimer\" < \"pottery\" < \"store\".\nThought 7: Now let's sort this subpart [\"ginsburg\" ? \"gingham\"] by looking at their second letters. The second letter: \"ginsburg\": \"i\" (9). \"gingham\": \"i\" (9).\nThought 8: We now have: (9) [\"ginsburg\" ? \"gingham\"] for the subpart. Hence, we have \"anneal\" < \"articulate\" < [\"chevy\" ? \"choctaw\"] < [\"ginsburg\" ? \"gingham\"] < \"herkimer\" < \"pottery\" < \"store\".\nThought 9: Now let's sort this subpart [\"chevy\" ? \"choctaw\"] by looking at their third letters. The third letter: \"chevy\": \"e\" (5). \"choctaw\": \"o\" (15).\nThought 10: We now have: (5) \"chevy\" < (15) \"choctaw\" for the subpart. Hence, we have \"anneal\" < \"articulate\" < \"chevy\" < \"choctaw\" < [\"ginsburg\" ? \"gingham\"] < \"herkimer\" < \"pottery\" < \"store\".\nThought 11: Now let's sort this subpart [\"ginsburg\" ? \"gingham\"] by looking at their third letters. The third letter: \"ginsburg\": \"n\" (14). \"gingham\": \"n\" (14).\nThought 12: We now have: (14) [\"ginsburg\" ? \"gingham\"] for the subpart. Hence, we have \"anneal\" < \"articulate\" < \"chevy\" < \"choctaw\" < [\"ginsburg\" ? \"gingham\"] < \"herkimer\" < \"pottery\" < \"store\".\nThought 13: Now let's sort this subpart [\"ginsburg\" ? \"gingham\"] by looking at their fourth letters. The fourth letter: \"ginsburg\": \"s\" (19). \"gingham\": \"h\" (8).\nThought 14: We now have: (8) \"gingham\" < (19) \"ginsburg\" for the subpart. Hence, we have \"anneal\" < \"articulate\" < \"chevy\" < \"choctaw\" < \"gingham\" < \"ginsburg\" < \"herkimer\" < \"pottery\" < \"store\".\nThought 15: I have now sorted all the words. The answer is anneal articulate chevy choctaw gingham ginsburg herkimer pottery store\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "181b2828d5d89bd5da97251dac2e5c17bf061b5bfe1f54f31e490721fccf7b44",
    "id": "bbeh:word_sorting:023",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and s are the first two letters. Sort the following words with the new alphabet and separate them with comma: complications, injustice, savoyard, generalizations, phillip, experimentations, roadside, indicate, caching, emboss, spicy, winston, gherkin, complications, delicious, somewhat, distort, percent, considerations, epistemology, maser, defend",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "2b123541cf3b244d04dc7222c463ffefddc0b85f019fafb5d017f42d902bb701",
    "id": "bbeh:word_sorting:024",
    "request": "Consider a new alphabet order [b, u, y, i, q, h, d, o, a, f, c, k, r, w, g, t, l, z, j, s, x, n, v, m, e, p]. Sort the following words with the new alphabet and separate them with comma: threadbare, form, goat, specifications, calligraph, manipulations, identifications, interpretations, sibyl, inverness, telecommunications",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "94222fea643d30881d78197ca871a1c0e5fec42549fe44c08c66e936719dfe0f",
    "id": "bbeh:word_sorting:035",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that m is the last letter. Sort the following words with the new alphabet and separate them with comma: daddy, individualization, ramifications, reconfigurations, misrepresentations, catechism, manifestations",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "3d9c35401959f1adc237956b6a7aafe90439942e93ec04da3cde809763f2e416",
    "id": "bbeh:word_sorting:041",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: ackerman rare nowadays photolytic cypriot seaborg liaison cent burnout pronto hetman taipei protophyta ferruginous sierra arctic trinket rivet punitive splotch\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"ackerman\": \"a\" (1). \"rare\": \"r\" (18). \"nowadays\": \"n\" (14). \"photolytic\": \"p\" (16). \"cypriot\": \"c\" (3). \"seaborg\": \"s\" (19). \"liaison\": \"l\" (12). \"cent\": \"c\" (3). \"burnout\": \"b\" (2). \"pronto\": \"p\" (16). \"hetman\": \"h\" (8). \"taipei\": \"t\" (20). \"protophyta\": \"p\" (16). \"ferruginous\": \"f\" (6). \"sierra\": \"s\" (19). \"arctic\": \"a\" (1). \"trinket\": \"t\" (20). \"rivet\": \"r\" (18). \"punitive\": \"p\" (16). \"splotch\": \"s\" (19).\nThought 2: We now have: (1) [\"ackerman\" ? \"arctic\"] < (2) \"burnout\" < (3) [\"cent\" ? \"cypriot\" ? \"liaison\"] < (6) \"ferruginous\" < (8) \"hetman\" < (12) \"liaison\" < (14) \"nowadays\" < (16) [\"photolytic\" ? \"pronto\" ? \"protophyta\" ? \"punitive\"] < (18) [\"rare\" ? \"rivet\"] < (19) [\"seaborg\" ? \"sierra\" ? \"splotch\"] < (20) [\"taipei\" ? \"trinket\"].\nThought 3: Now let's sort this subpart [\"ackerman\" ? \"arctic\"] by looking at their second letters. The second letter: \"ackerman\": \"c\" (3). \"arctic\": \"r\" (18).\nThought 4: We now have: (3) \"ackerman\" < (18) \"arctic\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < [\"cent\" ? \"cypriot\" ? \"liaison\"] < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < [\"photolytic\" ? \"pronto\" ? \"protophyta\" ? \"punitive\"] < [\"rare\" ? \"rivet\"] < [\"seaborg\" ? \"sierra\" ? \"splotch\"] < [\"taipei\" ? \"trinket\"].\nThought 5: Now let's sort this subpart [\"cent\" ? \"cypriot\" ? \"liaison\"] by looking at their second letters. The second letter: \"cent\": \"e\" (5). \"cypriot\": \"y\" (25). \"liaison\": \"i\" (9).\nThought 6: We now have: (5) \"cent\" < (9) \"liaison\" < (25) \"cypriot\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < \"cent\" < \"liaison\" < \"cypriot\" < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < [\"photolytic\" ? \"pronto\" ? \"protophyta\" ? \"punitive\"] < [\"rare\" ? \"rivet\"] < [\"seaborg\" ? \"sierra\" ? \"splotch\"] < [\"taipei\" ? \"trinket\"].\nThought 7: Now let's sort this subpart [\"photolytic\" ? \"pronto\" ? \"protophyta\" ? \"punitive\"] by looking at their second letters. The second letter: \"photolytic\": \"h\" (8). \"pronto\": \"r\" (18). \"protophyta\": \"r\" (18). \"punitive\": \"u\" (21).\nThought 8: We now have: (8) \"photolytic\" < (18) [\"pronto\" ? \"protophyta\"] < (21) \"punitive\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < \"cent\" < \"liaison\" < \"cypriot\" < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < \"photolytic\" < [\"pronto\" ? \"protophyta\"] < [\"rare\" ? \"rivet\"] < [\"seaborg\" ? \"sierra\" ? \"splotch\"] < [\"taipei\" ? \"trinket\"].\nThought 9: Now let's sort this subpart [\"pronto\" ? \"protophyta\"] by looking at their third letters. The third letter: \"pronto\": \"n\" (14). \"protophyta\": \"t\" (20).\nThought 10: We now have: (14) \"pronto\" < (20) \"protophyta\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < \"cent\" < \"liaison\" < \"cypriot\" < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < \"photolytic\" < \"pronto\" < \"protophyta\" < [\"rare\" ? \"rivet\"] < [\"seaborg\" ? \"sierra\" ? \"splotch\"] < [\"taipei\" ? \"trinket\"].\nThought 11: Now let's sort this subpart [\"rare\" ? \"rivet\"] by looking at their second letters. The second letter: \"rare\": \"a\" (1). \"rivet\": \"i\" (9).\nThought 12: We now have: (1) \"rare\" < (9) \"rivet\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < \"cent\" < \"liaison\" < \"cypriot\" < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < \"photolytic\" < \"pronto\" < \"protophyta\" < \"rare\" < \"rivet\" < [\"seaborg\" ? \"sierra\" ? \"splotch\"] < [\"taipei\" ? \"trinket\"].\nThought 13: Now let's sort this subpart [\"seaborg\" ? \"sierra\" ? \"splotch\"] by looking at their second letters. The second letter: \"seaborg\": \"e\" (5). \"sierra\": \"i\" (9). \"splotch\": \"p\" (16).\nThought 14: We now have: (5) \"seaborg\" < (9) \"sierra\" < (16) \"splotch\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < \"cent\" < \"liaison\" < \"cypriot\" < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < \"photolytic\" < \"pronto\" < \"protophyta\" < \"rare\" < \"rivet\" < \"seaborg\" < \"sierra\" < \"splotch\" < [\"taipei\" ? \"trinket\"].\nThought 15: Now let's sort this subpart [\"taipei\" ? \"trinket\"] by looking at their second letters. The second letter: \"taipei\": \"a\" (1). \"trinket\": \"r\" (18).\nThought 16: We now have: (1) \"taipei\" < (18) \"trinket\" for the subpart. Hence, we have \"ackerman\" < \"arctic\" < \"burnout\" < \"cent\" < \"liaison\" < \"cypriot\" < \"ferruginous\" < \"hetman\" < \"liaison\" < \"nowadays\" < \"photolytic\" < \"pronto\" < \"protophyta\" < \"rare\" < \"rivet\" < \"seaborg\" < \"sierra\" < \"splotch\" < \"taipei\" < \"trinket\".\nThought 17: I have now sorted all the words. The answer is nowadays, photolytic, cypriot, seaborg, liaison, cent, burnout, pronto, hetman, taipei, protophyta, ferruginous, sierra, arctic, trinket, rivet, punitive, splotch, ackerman, rare\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "2d431bce823db6bed332237013b5cc2332a1e783c4d834a604a443131dea2d29",
    "id": "bbeh:word_sorting:043",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: freckle radiophysics held blot layton leftmost dint insubstantial macaw pub o'donnell gratitude mackenzie inasmuch lugging sims utensil dovekie sandstone\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"freckle\": \"f\" (6). \"radiophysics\": \"r\" (18). \"held\": \"h\" (8). \"blot\": \"b\" (2). \"layton\": \"l\" (12). \"leftmost\": \"l\" (12). \"dint\": \"d\" (4). \"insubstantial\": \"i\" (9). \"macaw\": \"m\" (13). \"pub\": \"p\" (16). \"o'donnell\": \"o\" (15). \"gratitude\": \"g\" (7). \"mackenzie\": \"m\" (13). \"inasmuch\": \"i\" (9). \"lugging\": \"l\" (12). \"sims\": \"s\" (19). \"utensil\": \"u\" (21). \"dovekie\": \"d\" (4). \"sandstone\": \"s\" (19).\nThought 2: We now have: (2) \"blot\" < (4) [\"dint\" ? \"dovekie\"] < (6) \"freckle\" < (7) \"gratitude\" < (8) \"held\" < (9) [\"inasmuch\" ? \"insubstantial\"] < (12) [\"layton\" ? \"leftmost\" ? \"lugging\"] < (13) [\"macaw\" ? \"mackenzie\"] < (15) \"o'donnell\" < (16) \"pub\" < (18) \"radiophysics\" < (19) [\"sandstone\" ? \"sims\"] < (21) \"utensil\".\nThought 3: Now let's sort this subpart [\"dint\" ? \"dovekie\"] by looking at their second letters. The second letter: \"dint\": \"i\" (9). \"dovekie\": \"o\" (15).\nThought 4: We now have: (9) \"dint\" < (15) \"dovekie\" for the subpart. Hence, we have \"blot\" < \"dint\" < \"dovekie\" < \"freckle\" < \"gratitude\" < \"held\" < [\"inasmuch\" ? \"insubstantial\"] < [\"layton\" ? \"leftmost\" ? \"lugging\"] < [\"macaw\" ? \"mackenzie\"] < \"o'donnell\" < \"pub\" < \"radiophysics\" < [\"sandstone\" ? \"sims\"] < \"utensil\".\nThought 5: Now let's sort this subpart [\"inasmuch\" ? \"insubstantial\"] by looking at their second letters. The second letter: \"inasmuch\": \"n\" (14). \"insubstantial\": \"s\" (19).\nThought 6: We now have: (14) \"inasmuch\" < (19) \"insubstantial\" for the subpart. Hence, we have \"blot\" < \"dint\" < \"dovekie\" < \"freckle\" < \"gratitude\" < \"held\" < \"inasmuch\" < \"insubstantial\" < [\"layton\" ? \"leftmost\" ? \"lugging\"] < [\"macaw\" ? \"mackenzie\"] < \"o'donnell\" < \"pub\" < \"radiophysics\" < [\"sandstone\" ? \"sims\"] < \"utensil\".\nThought 7: Now let's sort this subpart [\"layton\" ? \"leftmost\" ? \"lugging\"] by looking at their second letters. The second letter: \"layton\": \"a\" (1). \"leftmost\": \"e\" (5). \"lugging\": \"u\" (21).\nThought 8: We now have: (1) \"layton\" < (5) \"leftmost\" < (21) \"lugging\" for the subpart. Hence, we have \"blot\" < \"dint\" < \"dovekie\" < \"freckle\" < \"gratitude\" < \"held\" < \"inasmuch\" < \"insubstantial\" < \"layton\" < \"leftmost\" < \"lugging\" < [\"macaw\" ? \"mackenzie\"] < \"o'donnell\" < \"pub\" < \"radiophysics\" < [\"sandstone\" ? \"sims\"] < \"utensil\".\nThought 9: Now let's sort this subpart [\"macaw\" ? \"mackenzie\"] by looking at their second letters. The second letter: \"macaw\": \"a\" (1). \"mackenzie\": \"c\" (3).\nThought 10: We now have: (1) \"macaw\" < (3) \"mackenzie\" for the subpart. Hence, we have \"blot\" < \"dint\" < \"dovekie\" < \"freckle\" < \"gratitude\" < \"held\" < \"inasmuch\" < \"insubstantial\" < \"layton\" < \"leftmost\" < \"lugging\" < \"macaw\" < \"mackenzie\" < \"o'donnell\" < \"pub\" < \"radiophysics\" < [\"sandstone\" ? \"sims\"] < \"utensil\".\nThought 11: Now let's sort this subpart [\"sandstone\" ? \"sims\"] by looking at their second letters. The second letter: \"sandstone\": \"a\" (1). \"sims\": \"i\" (9).\nThought 12: We now have: (1) \"sandstone\" < (9) \"sims\" for the subpart. Hence, we have \"blot\" < \"dint\" < \"dovekie\" < \"freckle\" < \"gratitude\" < \"held\" < \"inasmuch\" < \"insubstantial\" < \"layton\" < \"leftmost\" < \"lugging\" < \"macaw\" < \"mackenzie\" < \"o'donnell\" < \"pub\" < \"radiophysics\" < \"sandstone\" < \"sims\" < \"utensil\".\nThought 13: I have now sorted all the words. The answer is blot dint dovekie freckle gratitude held inasmuch insubstantial layton leftmost macaw mackenzie o'donnell pub radiophysics lugging sandstone sims utensil\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "abf208dfc1a98c355cd2650cc29f0f1878296c8c72791057fdb6ec835c2deab4",
    "id": "bbeh:word_sorting:054",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: provence dolan bootstrapping jimmy forget conscious snore captivate tooth adipic flee lilian greenbriar chili stanley hosiery laze our monkish\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"provence\": \"p\" (16). \"dolan\": \"d\" (4). \"bootstrapping\": \"b\" (2). \"jimmy\": \"j\" (10). \"forget\": \"f\" (6). \"conscious\": \"c\" (3). \"snore\": \"s\" (19). \"captivate\": \"c\" (3). \"tooth\": \"t\" (20). \"adipic\": \"a\" (1). \"flee\": \"f\" (6). \"lilian\": \"l\" (12). \"greenbriar\": \"g\" (7). \"chili\": \"c\" (3). \"stanley\": \"s\" (19). \"hosiery\": \"h\" (8). \"laze\": \"l\" (12). \"our\": \"o\" (15). \"monkish\": \"m\" (13).\nThought 2: We now have: (1) \"adipic\" < (2) \"bootstrapping\" < (3) [\"chili\" ? \"conscious\" ? \"captivate\"] < (4) \"dolan\" < (6) [\"flee\" ? \"forget\"] < (7) \"greenbriar\" < (8) \"hosiery\" < (10) \"jimmy\" < (12) [\"laze\" ? \"lilian\"] < (13) \"monkish\" < (15) \"our\" < (16) \"provence\" < (19) [\"snore\" ? \"stanley\"] < (20) \"tooth\".\nThought 3: Now let's sort this subpart [\"chili\" ? \"conscious\" ? \"captivate\"] by looking at their second letters. The second letter: \"chili\": \"h\" (8). \"conscious\": \"o\" (15). \"captivate\": \"a\" (1).\nThought 4: We now have: (1) \"captivate\" < (8) \"chili\" < (15) \"conscious\" for the subpart. Hence, we have \"adipic\" < \"bootstrapping\" < \"captivate\" < \"chili\" < \"conscious\" < \"dolan\" < \"flee\" < \"forget\" < \"greenbriar\" < \"hosiery\" < \"jimmy\" < \"laze\" < \"lilian\" < \"monkish\" < \"our\" < \"provence\" < \"snore\" < \"stanley\" < \"tooth\".\nThought 5: Now let's sort this subpart [\"flee\" ? \"forget\"] by looking at their second letters. The second letter: \"flee\": \"l\" (12). \"forget\": \"o\" (15).\nThought 6: We now have: (12) \"flee\" < (15) \"forget\" for the subpart. Hence, we have \"adipic\" < \"bootstrapping\" < \"captivate\" < \"chili\" < \"conscious\" < \"dolan\" < \"flee\" < \"forget\" < \"greenbriar\" < \"hosiery\" < \"jimmy\" < \"laze\" < \"lilian\" < \"monkish\" < \"our\" < \"provence\" < \"snore\" < \"stanley\" < \"tooth\".\nThought 7: Now let's sort this subpart [\"laze\" ? \"lilian\"] by looking at their second letters. The second letter: \"laze\": \"a\" (1). \"lilian\": \"i\" (9).\nThought 8: We now have: (1) \"laze\" < (9) \"lilian\" for the subpart. Hence, we have \"adipic\" < \"bootstrapping\" < \"captivate\" < \"chili\" < \"conscious\" < \"dolan\" < \"flee\" < \"forget\" < \"greenbriar\" < \"hosiery\" < \"jimmy\" < \"laze\" < \"lilian\" < \"monkish\" < \"our\" < \"provence\" < \"snore\" < \"stanley\" < \"tooth\".\nThought 9: Now let's sort this subpart [\"snore\" ? \"stanley\"] by looking at their second letters. The second letter: \"snore\": \"n\" (14). \"stanley\": \"t\" (20).\nThought 10: We now have: (14) \"snore\" < (20) \"stanley\" for the subpart. Hence, we have \"adipic\" < \"bootstrapping\" < \"captivate\" < \"chili\" < \"conscious\" < \"dolan\" < \"flee\" < \"forget\" < \"greenbriar\" < \"hosiery\" < \"jimmy\" < \"laze\" < \"lilian\" < \"monkish\" < \"our\" < \"provence\" < \"snore\" < \"stanley\" < \"tooth\".\nThought 11: I have now sorted all the words. The answer is adipic, bootstrapping, captivate, chili, conscious, dolan, flee, forget, greenbriar, hosiery, jimmy, laze, lilian, monkish, our, provence, snore, stanley, tooth\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "b7123a7ccbbf657e95fb5ed390c6ad9879dc3a2acbcdd511a43a8bf030aabf73",
    "id": "bbeh:word_sorting:055",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: norwegian coset tribal different hepburn balcony shoot berne cargoes incapable inattentive euglena btl holden annie paranoia put\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"norwegian\": \"n\" (14). \"coset\": \"c\" (3). \"tribal\": \"t\" (20). \"different\": \"d\" (4). \"hepburn\": \"h\" (8). \"balcony\": \"b\" (2). \"shoot\": \"s\" (19). \"berne\": \"b\" (2). \"cargoes\": \"c\" (3). \"incapable\": \"i\" (9). \"inattentive\": \"i\" (9). \"euglena\": \"e\" (5). \"btl\": \"b\" (2). \"holden\": \"h\" (8). \"annie\": \"a\" (1). \"paranoia\": \"p\" (16). \"put\": \"p\" (16).\nThought 2: We now have: (1) \"annie\" < (2) [\"btl\" ? \"balcony\" ? \"berne\" ? \"cargoes\"] < (3) \"coset\" < (4) \"different\" < (5) \"euglena\" < (8) [\"hepburn\" ? \"holden\"] < (9) [\"inattentive\" ? \"incapable\"] < (14) \"norwegian\" < (16) [\"paranoia\" ? \"put\"] < (19) \"shoot\" < (20) \"tribal\".\nThought 3: Now let's sort this subpart [\"btl\" ? \"balcony\" ? \"berne\" ? \"cargoes\"] by looking at their second letters. The second letter: \"btl\": \"t\" (20). \"balcony\": \"a\" (1). \"berne\": \"e\" (5). \"cargoes\": \"a\" (1).\nThought 4: We now have: (1) \"balcony\" ? \"cargoes\" < (5) \"berne\" < (20) \"btl\" for the subpart.\nThought 5: Now let's sort this subpart [\"balcony\" ? \"cargoes\"] by looking at their third letters. The third letter: \"balcony\": \"l\" (12). \"cargoes\": \"r\" (18).\nThought 6: We now have: (12) \"balcony\" < (18) \"cargoes\" for the subpart. Hence, we have \"annie\" < \"balcony\" < \"berne\" < \"btl\" < \"cargoes\" < \"coset\" < \"different\" < \"euglena\" < [\"hepburn\" ? \"holden\"] < [\"inattentive\" ? \"incapable\"] < \"norwegian\" < [\"paranoia\" ? \"put\"] < \"shoot\" < \"tribal\".\nThought 7: Now let's sort this subpart [\"hepburn\" ? \"holden\"] by looking at their second letters. The second letter: \"hepburn\": \"e\" (5). \"holden\": \"o\" (15).\nThought 8: We now have: (5) \"hepburn\" < (15) \"holden\" for the subpart. Hence, we have \"annie\" < \"balcony\" < \"berne\" < \"btl\" < \"cargoes\" < \"coset\" < \"different\" < \"euglena\" < \"hepburn\" < \"holden\" < [\"inattentive\" ? \"incapable\"] < \"norwegian\" < [\"paranoia\" ? \"put\"] < \"shoot\" < \"tribal\".\nThought 9: Now let's sort this subpart [\"inattentive\" ? \"incapable\"] by looking at their third letters. The third letter: \"inattentive\": \"t\" (20). \"incapable\": \"p\" (16).\nThought 10: We now have: (16) \"incapable\" < (20) \"inattentive\" for the subpart. Hence, we have \"annie\" < \"balcony\" < \"berne\" < \"btl\" < \"cargoes\" < \"coset\" < \"different\" < \"euglena\" < \"hepburn\" < \"holden\" < \"incapable\" < \"inattentive\" < \"norwegian\" < [\"paranoia\" ? \"put\"] < \"shoot\" < \"tribal\".\nThought 11: Now let's sort this subpart [\"paranoia\" ? \"put\"] by looking at their second letters. The second letter: \"paranoia\": \"a\" (1). \"put\": \"u\" (21).\nThought 12: We now have: (1) \"paranoia\" < (21) \"put\" for the subpart. Hence, we have \"annie\" < \"balcony\" < \"berne\" < \"btl\" < \"cargoes\" < \"coset\" < \"different\" < \"euglena\" < \"hepburn\" < \"holden\" < \"incapable\" < \"inattentive\" < \"norwegian\" < \"paranoia\" < \"put\" < \"shoot\" < \"tribal\".\nThought 13: I have now sorted all the words. The answer is annie balcony berne btl cargoes coset different euglena hepburn holden incapable inattentive norwegian paranoia put shoot tribal\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "a3a579b74f547d3477afb2fea0531e8ee63628d55a37e816d9f354e84b870eac",
    "id": "bbeh:word_sorting:058",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: berlitz thank husbandmen fortitude dockside tuneful survive flagstaff deathward parole rim glutamate judiciary cohesive cork downspout decipher enemy milch\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"berlitz\": \"b\" (2). \"thank\": \"t\" (20). \"husbandmen\": \"h\" (8). \"fortitude\": \"f\" (6). \"dockside\": \"d\" (4). \"tuneful\": \"t\" (20). \"survive\": \"s\" (19). \"flagstaff\": \"f\" (6). \"deathward\": \"d\" (4). \"parole\": \"p\" (16). \"rim\": \"r\" (18). \"glutamate\": \"g\" (7). \"judiciary\": \"j\" (10). \"cohesive\": \"c\" (3). \"cork\": \"c\" (3). \"downspout\": \"d\" (4). \"decipher\": \"d\" (4). \"enemy\": \"e\" (5). \"milch\": \"m\" (13).\nThought 2: We now have: (2) \"berlitz\" < (3) [\"cohesive\" ? \"cork\"] < (4) [\"deathward\" ? \"decipher\" ? \"dockside\" ? \"downspout\"] < (5) \"enemy\" < (6) [\"flagstaff\" ? \"fortitude\"] < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < (20) [\"thank\" ? \"tuneful\"].\nThought 3: Now let's sort this subpart [\"cohesive\" ? \"cork\"] by looking at their second letters. The second letter: \"cohesive\": \"o\" (15). \"cork\": \"o\" (15).\nThought 4: We now have: (15) [\"cohesive\" ? \"cork\"] for the subpart. Hence, we have \"berlitz\" < [\"cohesive\" ? \"cork\"] < (4) [\"deathward\" ? \"decipher\" ? \"dockside\" ? \"downspout\"] < (5) \"enemy\" < (6) [\"flagstaff\" ? \"fortitude\"] < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < (20) [\"thank\" ? \"tuneful\"].\nThought 5: Now let's sort this subpart [\"deathward\" ? \"decipher\" ? \"dockside\" ? \"downspout\"] by looking at their second letters. The second letter: \"deathward\": \"e\" (5). \"decipher\": \"e\" (5). \"dockside\": \"o\" (15). \"downspout\": \"o\" (15).\nThought 6: We now have: (5) [\"deathward\" ? \"decipher\"] < (15) [\"dockside\" ? \"downspout\"] for the subpart. Hence, we have \"berlitz\" < [\"cohesive\" ? \"cork\"] < (5) [\"deathward\" ? \"decipher\"] < (15) [\"dockside\" ? \"downspout\"] < (5) \"enemy\" < (6) [\"flagstaff\" ? \"fortitude\"] < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < (20) [\"thank\" ? \"tuneful\"].\nThought 7: Now let's sort this subpart [\"deathward\" ? \"decipher\"] by looking at their third letters. The third letter: \"deathward\": \"a\" (1). \"decipher\": \"i\" (9).\nThought 8: We now have: (1) \"deathward\" < (9) \"decipher\" for the subpart. Hence, we have \"berlitz\" < [\"cohesive\" ? \"cork\"] < \"deathward\" < \"decipher\" < (15) [\"dockside\" ? \"downspout\"] < (5) \"enemy\" < (6) [\"flagstaff\" ? \"fortitude\"] < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < (20) [\"thank\" ? \"tuneful\"].\nThought 9: Now let's sort this subpart [\"dockside\" ? \"downspout\"] by looking at their third letters. The third letter: \"dockside\": \"c\" (3). \"downspout\": \"w\" (23).\nThought 10: We now have: (3) \"dockside\" < (23) \"downspout\" for the subpart. Hence, we have \"berlitz\" < [\"cohesive\" ? \"cork\"] < \"deathward\" < \"decipher\" < \"dockside\" < \"downspout\" < (5) \"enemy\" < (6) [\"flagstaff\" ? \"fortitude\"] < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < (20) [\"thank\" ? \"tuneful\"].\nThought 11: Now let's sort this subpart [\"flagstaff\" ? \"fortitude\"] by looking at their second letters. The second letter: \"flagstaff\": \"l\" (12). \"fortitude\": \"o\" (15).\nThought 12: We now have: (12) \"flagstaff\" < (15) \"fortitude\" for the subpart. Hence, we have \"berlitz\" < [\"cohesive\" ? \"cork\"] < \"deathward\" < \"decipher\" < \"dockside\" < \"downspout\" < (5) \"enemy\" < (12) \"flagstaff\" < (15) \"fortitude\" < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < (20) [\"thank\" ? \"tuneful\"].\nThought 13: Now let's sort this subpart [\"thank\" ? \"tuneful\"] by looking at their third letters. The third letter: \"thank\": \"a\" (1). \"tuneful\": \"n\" (14).\nThought 14: We now have: (1) \"thank\" < (14) \"tuneful\" for the subpart. Hence, we have \"berlitz\" < [\"cohesive\" ? \"cork\"] < \"deathward\" < \"decipher\" < \"dockside\" < \"downspout\" < (5) \"enemy\" < (12) \"flagstaff\" < (15) \"fortitude\" < (7) \"glutamate\" < (8) \"husbandmen\" < (10) \"judiciary\" < (13) \"milch\" < (16) \"parole\" < (18) \"rim\" < (19) \"survive\" < \"thank\" < \"tuneful\".\nThought 15: I have now sorted all the words. The answer is berlitz cohesive cork decipher deathward dockside enemy flagstaff fortitude glutamate husbandmen judiciary milch parole rim survive thank tuneful\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "720802303ff323d6313603a69cb8bc726770973d65e922de76a78c7dbfff1cb9",
    "id": "bbeh:word_sorting:061",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: reinhold grasshopper honda coneflower nematode embezzle tuberculosis isn't rowdy oceanographer inholding leaden hub pyrometer alpheratz tachinid roundabout kalamazoo galvanic\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"reinhold\": \"r\" (18). \"grasshopper\": \"g\" (7). \"honda\": \"h\" (8). \"coneflower\": \"c\" (3). \"nematode\": \"n\" (14). \"embezzle\": \"e\" (5). \"tuberculosis\": \"t\" (20). \"isn't\": \"i\" (9). \"rowdy\": \"r\" (18). \"oceanographer\": \"o\" (15). \"inholding\": \"i\" (9). \"leaden\": \"l\" (12). \"hub\": \"h\" (8). \"pyrometer\": \"p\" (16). \"alpheratz\": \"a\" (1). \"tachinid\": \"t\" (20). \"roundabout\": \"r\" (18). \"kalamazoo\": \"k\" (11). \"galvanic\": \"g\" (7).\nThought 2: We now have: (1) \"alpheratz\" < (3) \"coneflower\" < (5) \"embezzle\" < (7) [\"galvanic\" ? \"grasshopper\"] < (8) [\"honda\" ? \"hub\"] < (9) [\"isn't\" ? \"inholding\"] < (11) \"kalamazoo\" < (12) \"leaden\" < (14) \"nematode\" < (15) \"oceanographer\" < (16) \"pyrometer\" < (18) [\"reinhold\" ? \"rowdy\" ? \"roundabout\"] < (20) [\"tachinid\" ? \"tuberculosis\"].\nThought 3: Now let's sort this subpart [\"galvanic\" ? \"grasshopper\"] by looking at their second letters. The second letter: \"galvanic\": \"a\" (1). \"grasshopper\": \"r\" (18).\nThought 4: We now have: (1) \"galvanic\" < (18) \"grasshopper\" for the subpart. Hence, we have \"alpheratz\" < \"coneflower\" < \"embezzle\" < \"galvanic\" < \"grasshopper\" < \"honda\" < \"hub\" < \"isn't\" < \"inholding\" < \"kalamazoo\" < \"leaden\" < \"nematode\" < \"oceanographer\" < \"pyrometer\" < [\"reinhold\" ? \"rowdy\" ? \"roundabout\"] < [\"tachinid\" ? \"tuberculosis\"].\nThought 5: Now let's sort this subpart [\"reinhold\" ? \"rowdy\" ? \"roundabout\"] by looking at their second letters. The second letter: \"reinhold\": \"e\" (5). \"rowdy\": \"o\" (15). \"roundabout\": \"o\" (15).\nThought 6: We now have: (5) \"reinhold\" < (15) [\"rowdy\" ? \"roundabout\"] for the subpart. Hence, we have \"alpheratz\" < \"coneflower\" < \"embezzle\" < \"galvanic\" < \"grasshopper\" < \"honda\" < \"hub\" < \"isn't\" < \"inholding\" < \"kalamazoo\" < \"leaden\" < \"nematode\" < \"oceanographer\" < \"pyrometer\" < \"reinhold\" < [\"rowdy\" ? \"roundabout\"] < [\"tachinid\" ? \"tuberculosis\"].\nThought 7: Now let's sort this subpart [\"rowdy\" ? \"roundabout\"] by looking at their third letters. The third letter: \"rowdy\": \"w\" (23). \"roundabout\": \"u\" (21).\nThought 8: We now have: (21) \"roundabout\" < (23) \"rowdy\" for the subpart. Hence, we have \"alpheratz\" < \"coneflower\" < \"embezzle\" < \"galvanic\" < \"grasshopper\" < \"honda\" < \"hub\" < \"isn't\" < \"inholding\" < \"kalamazoo\" < \"leaden\" < \"nematode\" < \"oceanographer\" < \"pyrometer\" < \"reinhold\" < \"roundabout\" < \"rowdy\" < [\"tachinid\" ? \"tuberculosis\"].\nThought 9: Now let's sort this subpart [\"tachinid\" ? \"tuberculosis\"] by looking at their second letters. The second letter: \"tachinid\": \"a\" (1). \"tuberculosis\": \"u\" (21).\nThought 10: We now have: (1) \"tachinid\" < (21) \"tuberculosis\" for the subpart. Hence, we have \"alpheratz\" < \"coneflower\" < \"embezzle\" < \"galvanic\" < \"grasshopper\" < \"honda\" < \"hub\" < \"isn't\" < \"inholding\" < \"kalamazoo\" < \"leaden\" < \"nematode\" < \"oceanographer\" < \"pyrometer\" < \"reinhold\" < \"roundabout\" < \"rowdy\" < \"tachinid\" < \"tuberculosis\".\nThought 11: I have now sorted all the words. The answer is alpheratz coneflower embezzle galvanic grasshopper honda hub isn't inholding kalamazoo leaden nematode oceanographer pyrometer reinhold roundabout rowdy tachinid tuberculosis\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "03547266cb5f787c7286f7b637c982dd34174e9e74fbbd2eed52fd4d07cbeeb0",
    "id": "bbeh:word_sorting:071",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that l and q are the last two letters. Sort the following words with the new alphabet and separate them with comma: shakespearian, justifications, qualifications, recommendations, laudatory, complications, collaborations",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "387f2bb2f18dcf9e9b1c7bcc11df868c4eae12efd104e500762673ff413cb42b",
    "id": "bbeh:word_sorting:074",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: indwell hypocrisy japan duluth postcondition too caraway shore tonight heritable meteor bolshevik schmitt huzzah jackanapes seaboard iodinate\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"indwell\": \"i\" (9). \"hypocrisy\": \"h\" (8). \"japan\": \"j\" (10). \"duluth\": \"d\" (4). \"postcondition\": \"p\" (16). \"too\": \"t\" (20). \"caraway\": \"c\" (3). \"shore\": \"s\" (19). \"tonight\": \"t\" (20). \"heritable\": \"h\" (8). \"meteor\": \"m\" (13). \"bolshevik\": \"b\" (2). \"schmitt\": \"s\" (19). \"huzzah\": \"h\" (8). \"jackanapes\": \"j\" (10). \"seaboard\": \"s\" (19). \"iodinate\": \"i\" (9).\nThought 2: We now have: (2) \"bolshevik\" < (3) \"caraway\" < (4) \"duluth\" < (8) [\"heritable\" ? \"hypocrisy\" ? \"huzzah\"] < (9) [\"indwell\" ? \"iodinate\"] < (10) [\"japan\" ? \"jackanapes\"] < (13) \"meteor\" < (16) \"postcondition\" < (19) [\"schmitt\" ? \"shore\" ? \"seaboard\"] < (20) [\"tonight\" ? \"too\"].\nThought 3: Now let's sort this subpart [\"heritable\" ? \"hypocrisy\" ? \"huzzah\"] by looking at their second letters. The second letter: \"heritable\": \"e\" (5). \"hypocrisy\": \"y\" (25). \"huzzah\": \"u\" (21).\nThought 4: We now have: (5) \"heritable\" < (21) \"huzzah\" < (25) \"hypocrisy\" for the subpart. Hence, we have \"bolshevik\" < \"caraway\" < \"duluth\" < \"heritable\" < \"huzzah\" < \"hypocrisy\" < \"indwell\" < \"iodinate\" < \"japan\" < \"jackanapes\" < \"meteor\" < \"postcondition\" < \"schmitt\" < \"shore\" < \"seaboard\" < \"tonight\" < \"too\".\nThought 5: Now let's sort this subpart [\"schmitt\" ? \"shore\" ? \"seaboard\"] by looking at their second letters. The second letter: \"schmitt\": \"c\" (3). \"shore\": \"h\" (8). \"seaboard\": \"e\" (5).\nThought 6: We now have: (3) \"schmitt\" < (5) \"seaboard\" < (8) \"shore\" for the subpart. Hence, we have \"bolshevik\" < \"caraway\" < \"duluth\" < \"heritable\" < \"huzzah\" < \"hypocrisy\" < \"indwell\" < \"iodinate\" < \"japan\" < \"jackanapes\" < \"meteor\" < \"postcondition\" < \"schmitt\" < \"seaboard\" < \"shore\" < \"tonight\" < \"too\".\nThought 7: I have now sorted all the words. The answer is bolshevik caraway duluth heritable huzzah hypocrisy indwell iodinate japan jackanapes meteor postcondition schmitt seaboard shore tonight too\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "8bb6455009ebe2d4a47e00c93ece0a9f55fc10a847849bfe84f1f5aadb9ee755",
    "id": "bbeh:word_sorting:077",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that t is the last letter. Sort the following words with the new alphabet and separate them with comma: impressible, cowbell, texture, vietnamese, whippet, glamour, anaglyph, manifestations, collaborations, fest, harriet, disqualifications, modifications, investigations, duane, switchboard",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "ad4697b6999f23ec6b50b7800135aaa5fda1f07d131dd154df4e8f205258ae0f",
    "id": "bbeh:word_sorting:082",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that a and h are swapped. Sort the following words with the new alphabet and separate them with comma: macedon, anastasia, putty, classifications, notifications, epaulet, apache, anastomotic, adsorption, calumny, interpretations, award, implementations, bobbin, smooth, align, burrow, hostelry, roughshod, omnipotent, qualifications, execrable, spontaneity, hun",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "340f70ab1ab5190080578cb0f18449695b628d7cedc8f9b2e58ec6757fd7501a",
    "id": "bbeh:word_sorting:083",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: shrewish crux surtout pretoria rowboat drunken junta blackmail mbabane autocollimate embargoes lexicographer pork dobbs morpheme celery symbiotic scrutable protean nitric\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"shrewish\": \"s\" (19). \"crux\": \"c\" (3). \"surtout\": \"s\" (19). \"pretoria\": \"p\" (16). \"rowboat\": \"r\" (18). \"drunken\": \"d\" (4). \"junta\": \"j\" (10). \"blackmail\": \"b\" (2). \"mbabane\": \"m\" (13). \"autocollimate\": \"a\" (1). \"embargoes\": \"e\" (5). \"lexicographer\": \"l\" (12). \"pork\": \"p\" (16). \"dobbs\": \"d\" (4). \"morpheme\": \"m\" (13). \"celery\": \"c\" (3). \"symbiotic\": \"s\" (19). \"scrutable\": \"s\" (19). \"protean\": \"p\" (16). \"nitric\": \"n\" (14).\nThought 2: We now have: (1) \"autocollimate\" < (2) \"blackmail\" < (3) [\"celery\" ? \"crux\" ? \"surtout\"] < (4) [\"drunken\" ? \"dobbs\"] < (5) \"embargoes\" < (10) \"junta\" < (12) \"lexicographer\" < (13) [\"mbabane\" ? \"morpheme\"] < (14) \"nitric\" < (16) [\"pork\" ? \"pretoria\" ? \"protean\"] < (18) \"rowboat\" < (19) [\"scrutable\" ? \"shrewish\" ? \"symbiotic\"].\nThought 3: Now let's sort this subpart [\"celery\" ? \"crux\" ? \"surtout\"] by looking at their second letters. The second letter: \"celery\": \"e\" (5). \"crux\": \"r\" (18). \"surtout\": \"u\" (21).\nThought 4: We now have: (5) \"celery\" < (18) \"crux\" < (21) \"surtout\" for the subpart. Hence, we have \"autocollimate\" < \"blackmail\" < \"celery\" < \"crux\" < \"drunken\" < \"dobbs\" < \"embargoes\" < \"junta\" < \"lexicographer\" < \"mbabane\" < \"morpheme\" < \"nitric\" < \"pork\" < \"pretoria\" < \"protean\" < \"rowboat\" < \"scrutable\" < \"shrewish\" < \"symbiotic\".\nThought 5: I have now sorted all the words. The answer is autocollimate blackmail celery crux drunken dobbs embargoes junta lexicographer mbabane morpheme nitric pork pretoria protean rowboat scrutable shrewish symbiotic\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "10cee011fb1435e3a666d9d94b8bfa0555a861f239377a2a9f6de0c64958659d",
    "id": "bbeh:word_sorting:084",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that a and d are the first two letters. Sort the following words with the new alphabet and separate them with comma: chicanery, disqualifications, characterizations, mountain, disenfranchisement, institutionalization, fugue, administrations",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "35e84f7b1d2c4344b48d4e2ac0fd64607903e035dc50cf94d448c4638a97f65a",
    "id": "bbeh:word_sorting:106",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: tipoff fructose coleus hurricane cite tularemia irreducible wier improbable whitetail vesper whereabout\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"tipoff\": \"t\" (20). \"fructose\": \"f\" (6). \"coleus\": \"c\" (3). \"hurricane\": \"h\" (8). \"cite\": \"c\" (3). \"tularemia\": \"t\" (20). \"irreducible\": \"i\" (9). \"wier\": \"w\" (23). \"improbable\": \"i\" (9). \"whitetail\": \"w\" (23). \"vesper\": \"v\" (22). \"whereabout\": \"w\" (23).\nThought 2: We now have: (3) [\"cite\" ? \"coleus\"] < (6) \"fructose\" < (8) \"hurricane\" < (9) [\"improbable\" ? \"irreducible\"] < (14) \"tipoff\" < (15) \"tularemia\" < (20) \"wier\" < (22) \"vesper\" < (23) [\"whitetail\" ? \"whereabout\"].\nThought 3: Now let's sort this subpart [\"cite\" ? \"coleus\"] by looking at their second letters. The second letter: \"cite\": \"i\" (9). \"coleus\": \"o\" (15).\nThought 4: We now have: (9) \"cite\" < (15) \"coleus\" for the subpart. Hence, we have \"cite\" < \"coleus\" < \"fructose\" < \"hurricane\" < [\"improbable\" ? \"irreducible\"] < \"tipoff\" < \"tularemia\" < \"wier\" < \"vesper\" < [\"whitetail\" ? \"whereabout\"].\nThought 5: Now let's sort this subpart [\"improbable\" ? \"irreducible\"] by looking at their second letters. The second letter: \"improbable\": \"m\" (13). \"irreducible\": \"r\" (18).\nThought 6: We now have: (13) \"improbable\" < (18) \"irreducible\" for the subpart. Hence, we have \"cite\" < \"coleus\" < \"fructose\" < \"hurricane\" < \"improbable\" < \"irreducible\" < \"tipoff\" < \"tularemia\" < \"wier\" < \"vesper\" < [\"whitetail\" ? \"whereabout\"].\nThought 7: Now let's sort this subpart [\"whitetail\" ? \"whereabout\"] by looking at their second letters. The second letter: \"whitetail\": \"h\" (8). \"whereabout\": \"h\" (8).\nThought 8: We now have: (8) [\"whitetail\" ? \"whereabout\"] for the subpart. Hence, we have \"cite\" < \"coleus\" < \"fructose\" < \"hurricane\" < \"improbable\" < \"irreducible\" < \"tipoff\" < \"tularemia\" < \"wier\" < \"vesper\" < [\"whitetail\" ? \"whereabout\"].\nThought 9: Now let's sort this subpart [\"whitetail\" ? \"whereabout\"] by looking at their third letters. The third letter: \"whitetail\": \"i\" (9). \"whereabout\": \"e\" (5).\nThought 10: We now have: (5) \"whereabout\" < (9) \"whitetail\" for the subpart. Hence, we have \"cite\" < \"coleus\" < \"fructose\" < \"hurricane\" < \"improbable\" < \"irreducible\" < \"tipoff\" < \"tularemia\" < \"wier\" < \"vesper\" < \"whereabout\" < \"whitetail\".\nThought 11: I have now sorted all the words. The answer is cite coleus fructose hurricane improbable irreducible tipoff tularemia wier vesper whereabout whitetail\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "1e5e185dfac51c16bef93e29cfe91dace72ddf79ed4b6eb1b47d8dbbca7effd5",
    "id": "bbeh:word_sorting:111",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: decompile mermaid smolder mavis simian latvia aliquot cerium trepidation pathogenic error boot stochastic choosy fossiliferous carlin pang wrack damocles hollywood\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"decompile\": \"d\" (4). \"mermaid\": \"m\" (13). \"smolder\": \"s\" (19). \"mavis\": \"m\" (13). \"simian\": \"s\" (19). \"latvia\": \"l\" (12). \"aliquot\": \"a\" (1). \"cerium\": \"c\" (3). \"trepidation\": \"t\" (20). \"pathogenic\": \"p\" (16). \"error\": \"e\" (5). \"boot\": \"b\" (2). \"stochastic\": \"s\" (19). \"choosy\": \"c\" (3). \"fossiliferous\": \"f\" (6). \"carlin\": \"c\" (3). \"pang\": \"p\" (16). \"wrack\": \"w\" (23). \"damocles\": \"d\" (4). \"hollywood\": \"h\" (8).\nThought 2: We now have: (1) \"aliquot\" < (2) \"boot\" < (3) [\"cerium\" ? \"choosy\" ? \"carlin\"] < (4) [\"decompile\" ? \"damocles\"] < (5) \"error\" < (6) \"fossiliferous\" < (8) \"hollywood\" < (12) \"latvia\" < (13) [\"mavis\" ? \"mermaid\" ? \"smolder\"] < (16) [\"pathogenic\" ? \"pang\"] < (19) [\"stochastic\" ? \"simian\" ? \"smolder\"] < (20) \"trepidation\" < (23) \"wrack\".\nThought 3: Now let's sort this subpart [\"cerium\" ? \"choosy\" ? \"carlin\"] by looking at their second letters. The second letter: \"cerium\": \"e\" (5). \"choosy\": \"h\" (8). \"carlin\": \"a\" (1).\nThought 4: We now have: (1) \"carlin\" < (5) \"cerium\" < (8) \"choosy\" for the subpart. Hence, we have \"aliquot\" < \"boot\" < \"carlin\" < \"cerium\" < \"choosy\" < [\"decompile\" ? \"damocles\"] < \"error\" < \"fossiliferous\" < \"hollywood\" < \"latvia\" < [\"mavis\" ? \"mermaid\" ? \"smolder\"] < [\"pathogenic\" ? \"pang\"] < [\"stochastic\" ? \"simian\" ? \"smolder\"] < \"trepidation\" < \"wrack\".\nThought 5: Now let's sort this subpart [\"decompile\" ? \"damocles\"] by looking at their second letters. The second letter: \"decompile\": \"e\" (5). \"damocles\": \"a\" (1).\nThought 6: We now have: (1) \"damocles\" < (5) \"decompile\" for the subpart. Hence, we have \"aliquot\" < \"boot\" < \"carlin\" < \"cerium\" < \"choosy\" < \"damocles\" < \"decompile\" < \"error\" < \"fossiliferous\" < \"hollywood\" < \"latvia\" < [\"mavis\" ? \"mermaid\" ? \"smolder\"] < [\"pathogenic\" ? \"pang\"] < [\"stochastic\" ? \"simian\" ? \"smolder\"] < \"trepidation\" < \"wrack\".\nThought 7: Now let's sort this subpart [\"mavis\" ? \"mermaid\" ? \"smolder\"] by looking at their second letters. The second letter: \"mavis\": \"a\" (1). \"mermaid\": \"e\" (5). \"smolder\": \"m\" (13).\nThought 8: We now have: (1) \"mavis\" < (5) \"mermaid\" < (13) \"smolder\" for the subpart. Hence, we have \"aliquot\" < \"boot\" < \"carlin\" < \"cerium\" < \"choosy\" < \"damocles\" < \"decompile\" < \"error\" < \"fossiliferous\" < \"hollywood\" < \"latvia\" < \"mavis\" < \"mermaid\" < \"smolder\" < [\"pathogenic\" ? \"pang\"] < [\"stochastic\" ? \"simian\" ? \"smolder\"] < \"trepidation\" < \"wrack\".\nThought 9: Now let's sort this subpart [\"pathogenic\" ? \"pang\"] by looking at their second letters. The second letter: \"pathogenic\": \"a\" (1). \"pang\": \"a\" (1).\nThought 10: We now have: (1) \"pathogenic\" < \"pang\" for the subpart. Hence, we have \"aliquot\" < \"boot\" < \"carlin\" < \"cerium\" < \"choosy\" < \"damocles\" < \"decompile\" < \"error\" < \"fossiliferous\" < \"hollywood\" < \"latvia\" < \"mavis\" < \"mermaid\" < \"pathogenic\" < \"pang\" < \"smolder\" < [\"stochastic\" ? \"simian\" ? \"smolder\"] < \"trepidation\" < \"wrack\".\nThought 11: Now let's sort this subpart [\"stochastic\" ? \"simian\" ? \"smolder\"] by looking at their second letters. The second letter: \"stochastic\": \"t\" (20). \"simian\": \"i\" (9). \"smolder\": \"m\" (13).\nThought 12: We now have: (9) \"simian\" < (13) \"smolder\" < (20) \"stochastic\" for the subpart. Hence, we have \"aliquot\" < \"boot\" < \"carlin\" < \"cerium\" < \"choosy\" < \"damocles\" < \"decompile\" < \"error\" < \"fossiliferous\" < \"hollywood\" < \"latvia\" < \"mavis\" < \"mermaid\" < \"pathogenic\" < \"pang\" < \"smolder\" < \"simian\" < \"stochastic\" < \"trepidation\" < \"wrack\".\nThought 13: I have now sorted all the words. The answer is aliquot boot carlin cerium choosy damocles decompile error fossiliferous hollywood latvia mavis mermaid pathogenic pang smolder simian stochastic trepidation wrack\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "1d50287610b5dfb4b67db3f76a33b743a343c94452a6b827ff1c356b4e42f139",
    "id": "bbeh:word_sorting:116",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that n is the first letter. Sort the following words with the new alphabet and separate them with comma: chevalier, interpretations, exotica, good, thymine, characterizations, demonstrations, choose, rajah, sheaf, nick, drone, lineage, bunny, categorizations, cubby, stitch, steelmake, pique, brake, mental, indomitable, organizations, wigging",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "395e10af257171b40795c9865163dd55b0eb7f2996e93e28b1d1e1b4af1722bb",
    "id": "bbeh:word_sorting:120",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that a is the first letter. Sort the following words with the new alphabet and separate them with comma: planeload, sheep, yen, patrolman, classifications, arabesque, organizations, alveolar, trident, organizations, ytterbium, fluke, novel, arkansan, bedroom, curvilinear, collaborations, brassiere, spearmint, bend, diagnosable, fossiliferous, deterrent, qualifications",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "5122c2cf0618b461b883e77993436082f36094a22b8a6013d8f7f2639c7aace0",
    "id": "bbeh:word_sorting:121",
    "request": "Consider a new alphabet order [c, h, w, u, f, e, g, p, z, j, q, v, o, x, s, l, y, t, k, b, i, n, d, m, r, a]. Sort the following words with the new alphabet and separate them with comma: staunch, dogging, modifications, climb, dnieper, cortez, giantess, collaborations, satisfy, mast, moran, complications, reverie, misrepresentations, garrison, callous, prank, bate, muddy, institutionalization",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "e2dfc1fd4ce4bbc9810f248919e49171dacdf70b9564fe038aed2f19ddbe9949",
    "id": "bbeh:word_sorting:122",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that m is the last letter. Sort the following words with the new alphabet and separate them with comma: instant, erudite, disenfranchisement, reconfigurations, moldboard, yonkers, quadrant, olsen, darkle, justifications, industrialization, lip, pea, modifications, hookup",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "9ce6f74902f3c6994b76133e486c9e5e286ed6d4c3630d85ab892e7b50b7835b",
    "id": "bbeh:word_sorting:123",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: obligatory acidulate chastity wow remediable spearhead lipschitz eastern tenable reason ideal clavicle infighting mercenary labia slipshod tenon antipodal\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"obligatory\": \"o\" (15). \"acidulate\": \"a\" (1). \"chastity\": \"c\" (3). \"wow\": \"w\" (23). \"remediable\": \"r\" (18). \"spearhead\": \"s\" (19). \"lipschitz\": \"l\" (12). \"eastern\": \"e\" (5). \"tenable\": \"t\" (20). \"reason\": \"r\" (18). \"ideal\": \"i\" (9). \"clavicle\": \"c\" (3). \"infighting\": \"i\" (9). \"mercenary\": \"m\" (13). \"labia\": \"l\" (12). \"slipshod\": \"s\" (19). \"tenon\": \"t\" (20). \"antipodal\": \"a\" (1).\nThought 2: We now have: (1) [\"acidulate\" ? \"antipodal\"] < (3) [\"chastity\" ? \"clavicle\"] < (5) \"eastern\" < (9) [\"ideal\" ? \"infighting\"] < (12) [\"labia\" ? \"lipschitz\"] < (13) \"mercenary\" < (15) \"obligatory\" < (18) [\"reason\" ? \"remediable\"] < (19) [\"spearhead\" ? \"slipshod\"] < (20) [\"tenable\" ? \"tenon\"] < (23) \"wow\".\nThought 3: Now let's sort this subpart [\"acidulate\" ? \"antipodal\"] by looking at their second letters. The second letter: \"acidulate\": \"c\" (3). \"antipodal\": \"n\" (14).\nThought 4: We now have: (3) \"acidulate\" < (14) \"antipodal\" for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < [\"chastity\" ? \"clavicle\"] < \"eastern\" < [\"ideal\" ? \"infighting\"] < [\"labia\" ? \"lipschitz\"] < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < [\"spearhead\" ? \"slipshod\"] < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 5: Now let's sort this subpart [\"chastity\" ? \"clavicle\"] by looking at their second letters. The second letter: \"chastity\": \"h\" (8). \"clavicle\": \"l\" (12).\nThought 6: We now have: (8) \"chastity\" < (12) \"clavicle\" for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < \"chastity\" < \"clavicle\" < \"eastern\" < [\"ideal\" ? \"infighting\"] < [\"labia\" ? \"lipschitz\"] < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < [\"spearhead\" ? \"slipshod\"] < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 7: Now let's sort this subpart [\"ideal\" ? \"infighting\"] by looking at their second letters. The second letter: \"ideal\": \"d\" (4). \"infighting\": \"n\" (14).\nThought 8: We now have: (4) \"ideal\" < (14) \"infighting\" for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < \"chastity\" < \"clavicle\" < \"eastern\" < \"ideal\" < \"infighting\" < [\"labia\" ? \"lipschitz\"] < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < [\"spearhead\" ? \"slipshod\"] < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 9: Now let's sort this subpart [\"labia\" ? \"lipschitz\"] by looking at their second letters. The second letter: \"labia\": \"b\" (2). \"lipschitz\": \"i\" (9).\nThought 10: We now have: (2) \"labia\" < (9) \"lipschitz\" for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < \"chastity\" < \"clavicle\" < \"eastern\" < \"ideal\" < \"infighting\" < \"labia\" < \"lipschitz\" < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < [\"spearhead\" ? \"slipshod\"] < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 11: Now let's sort this subpart [\"reason\" ? \"remediable\"] by looking at their second letters. The second letter: \"reason\": \"e\" (5). \"remediable\": \"e\" (5).\nThought 12: We now have: (5) [\"reason\" ? \"remediable\"] for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < \"chastity\" < \"clavicle\" < \"eastern\" < \"ideal\" < \"infighting\" < \"labia\" < \"lipschitz\" < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < [\"spearhead\" ? \"slipshod\"] < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 13: Now let's sort this subpart [\"spearhead\" ? \"slipshod\"] by looking at their second letters. The second letter: \"spearhead\": \"p\" (16). \"slipshod\": \"l\" (12).\nThought 14: We now have: (12) \"slipshod\" < (16) \"spearhead\" for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < \"chastity\" < \"clavicle\" < \"eastern\" < \"ideal\" < \"infighting\" < \"labia\" < \"lipschitz\" < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < \"slipshod\" < \"spearhead\" < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 15: Now let's sort this subpart [\"tenable\" ? \"tenon\"] by looking at their second letters. The second letter: \"tenable\": \"e\" (5). \"tenon\": \"e\" (5).\nThought 16: We now have: (5) [\"tenable\" ? \"tenon\"] for the subpart. Hence, we have \"acidulate\" < \"antipodal\" < \"chastity\" < \"clavicle\" < \"eastern\" < \"ideal\" < \"infighting\" < \"labia\" < \"lipschitz\" < \"mercenary\" < \"obligatory\" < [\"reason\" ? \"remediable\"] < \"slipshod\" < \"spearhead\" < [\"tenable\" ? \"tenon\"] < \"wow\".\nThought 17: I have now sorted all the words. The answer is acidulate antipodal chastity clavicle eastern ideal infighting labia lipschitz mercenary obligatory reason remediable slipshod spearhead tenon wow\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "81e881550ee62c51a3e681932121847947b278143fdc42c8be18a43fff51a387",
    "id": "bbeh:word_sorting:124",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: wreath nicaragua continent flatland reprehensible adorn offsaddle gunpoint ashram emulate shank bagpipe gyrate conscionable metallurgy cupric hypnosis sud\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"wreath\": \"w\" (23). \"nicaragua\": \"n\" (14). \"continent\": \"c\" (3). \"flatland\": \"f\" (6). \"reprehensible\": \"r\" (18). \"adorn\": \"a\" (1). \"offsaddle\": \"o\" (15). \"gunpoint\": \"g\" (7). \"ashram\": \"a\" (1). \"emulate\": \"e\" (5). \"shank\": \"s\" (19). \"bagpipe\": \"b\" (2). \"gyrate\": \"g\" (7). \"conscionable\": \"c\" (3). \"metallurgy\": \"m\" (13). \"cupric\": \"c\" (3). \"hypnosis\": \"h\" (8). \"sud\": \"s\" (19).\nThought 2: We now have: (1) [\"adorn\" ? \"ashram\"] < (2) \"bagpipe\" < (3) [\"conscionable\" ? \"continent\" ? \"cupric\"] < (5) \"emulate\" < (6) \"flatland\" < (7) [\"gunpoint\" ? \"gyrate\"] < (8) \"hypnosis\" < (13) \"metallurgy\" < (14) \"nicaragua\" < (15) \"offsaddle\" < (18) \"reprehensible\" < (19) [\"shank\" ? \"sud\"] < (23) \"wreath\".\nThought 3: Now let's sort this subpart [\"adorn\" ? \"ashram\"] by looking at their second letters. The second letter: \"adorn\": \"d\" (4). \"ashram\": \"h\" (8).\nThought 4: We now have: (4) \"adorn\" < (8) \"ashram\" for the subpart. Hence, we have \"adorn\" < \"ashram\" < \"bagpipe\" < [\"conscionable\" ? \"continent\" ? \"cupric\"] < \"emulate\" < \"flatland\" < [\"gunpoint\" ? \"gyrate\"] < \"hypnosis\" < \"metallurgy\" < \"nicaragua\" < \"offsaddle\" < \"reprehensible\" < [\"shank\" ? \"sud\"] < \"wreath\".\nThought 5: Now let's sort this subpart [\"conscionable\" ? \"continent\" ? \"cupric\"] by looking at their second letters. The second letter: \"conscionable\": \"o\" (15). \"continent\": \"o\" (15). \"cupric\": \"u\" (21).\nThought 6: We now have: (15) [\"conscionable\" ? \"continent\"] < (21) \"cupric\" for the subpart. Hence, we have \"adorn\" < \"ashram\" < \"bagpipe\" < [\"conscionable\" ? \"continent\"] < \"cupric\" < \"emulate\" < \"flatland\" < [\"gunpoint\" ? \"gyrate\"] < \"hypnosis\" < \"metallurgy\" < \"nicaragua\" < \"offsaddle\" < \"reprehensible\" < [\"shank\" ? \"sud\"] < \"wreath\".\nThought 7: Now let's sort this subpart [\"conscionable\" ? \"continent\"] by looking at their third letters. The third letter: \"conscionable\": \"n\" (14). \"continent\": \"n\" (14).\nThought 8: We now have: (14) [\"conscionable\" ? \"continent\"] for the subpart. Hence, we have \"adorn\" < \"ashram\" < \"bagpipe\" < \"continent\" < \"conscionable\" < \"cupric\" < \"emulate\" < \"flatland\" < [\"gunpoint\" ? \"gyrate\"] < \"hypnosis\" < \"metallurgy\" < \"nicaragua\" < \"offsaddle\" < \"reprehensible\" < [\"shank\" ? \"sud\"] < \"wreath\".\nThought 9: Now let's sort this subpart [\"gunpoint\" ? \"gyrate\"] by looking at their second letters. The second letter: \"gunpoint\": \"u\" (21). \"gyrate\": \"y\" (25).\nThought 10: We now have: (21) \"gunpoint\" < (25) \"gyrate\" for the subpart. Hence, we have \"adorn\" < \"ashram\" < \"bagpipe\" < \"continent\" < \"conscionable\" < \"cupric\" < \"emulate\" < \"flatland\" < \"gunpoint\" < \"gyrate\" < \"hypnosis\" < \"metallurgy\" < \"nicaragua\" < \"offsaddle\" < \"reprehensible\" < [\"shank\" ? \"sud\"] < \"wreath\".\nThought 11: Now let's sort this subpart [\"shank\" ? \"sud\"] by looking at their second letters. The second letter: \"shank\": \"a\" (1). \"sud\": \"u\" (21).\nThought 12: We now have: (1) \"shank\" < (21) \"sud\" for the subpart. Hence, we have \"adorn\" < \"ashram\" < \"bagpipe\" < \"continent\" < \"conscionable\" < \"cupric\" < \"emulate\" < \"flatland\" < \"gunpoint\" < \"gyrate\" < \"hypnosis\" < \"metallurgy\" < \"nicaragua\" < \"offsaddle\" < \"reprehensible\" < \"shank\" < \"sud\" < \"wreath\".\nThought 13: I have now sorted all the words. The answer is adorn ashram bagpipe continent conscionable cupric emulate flatland gunpoint gyrate hypnosis metallurgy nicaragua offsaddle reprehensible shank sud wreath\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "e4dd59964128d269f838688afdebdf1b21c8b5d3bbd957a80e55e8a2bde4254a",
    "id": "bbeh:word_sorting:131",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: randolph wand hardhat coates shortcake pent paddy inferring peril woodstock withdraw lepidopterist aryl tropopause disputant vermiculite\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"randolph\": \"r\" (18). \"wand\": \"w\" (23). \"hardhat\": \"h\" (8). \"coates\": \"c\" (3). \"shortcake\": \"s\" (19). \"pent\": \"p\" (16). \"paddy\": \"p\" (16). \"inferring\": \"i\" (9). \"peril\": \"p\" (16). \"woodstock\": \"w\" (23). \"withdraw\": \"w\" (23). \"lepidopterist\": \"l\" (12). \"aryl\": \"a\" (1). \"tropopause\": \"t\" (20). \"disputant\": \"d\" (4). \"vermiculite\": \"v\" (22).\nThought 2: We now have: (1) \"aryl\" < (3) \"coates\" < (4) \"disputant\" < (8) \"hardhat\" < (9) \"inferring\" < (12) \"lepidopterist\" < (16) [\"pent\" ? \"paddy\" ? \"peril\"] < (18) \"randolph\" < (19) \"shortcake\" < (20) \"tropopause\" < (22) \"vermiculite\" < (23) [\"wand\" ? \"woodstock\" ? \"withdraw\"].\nThought 3: Now let's sort this subpart [\"pent\" ? \"paddy\" ? \"peril\"] by looking at their second letters. The second letter: \"pent\": \"e\" (5). \"paddy\": \"a\" (1). \"peril\": \"e\" (5).\nThought 4: We now have: (1) \"paddy\" < (5) [\"pent\" ? \"peril\"] for the subpart. Hence, we have \"aryl\" < \"coates\" < \"disputant\" < \"hardhat\" < \"inferring\" < \"lepidopterist\" < \"paddy\" < [\"pent\" ? \"peril\"] < \"randolph\" < \"shortcake\" < \"tropopause\" < \"vermiculite\" < [\"wand\" ? \"woodstock\" ? \"withdraw\"].\nThought 5: Now let's sort this subpart [\"pent\" ? \"peril\"] by looking at their third letters. The third letter: \"pent\": \"n\" (14). \"peril\": \"r\" (18).\nThought 6: We now have: (14) \"pent\" < (18) \"peril\" for the subpart. Hence, we have \"aryl\" < \"coates\" < \"disputant\" < \"hardhat\" < \"inferring\" < \"lepidopterist\" < \"paddy\" < \"pent\" < \"peril\" < \"randolph\" < \"shortcake\" < \"tropopause\" < \"vermiculite\" < [\"wand\" ? \"woodstock\" ? \"withdraw\"].\nThought 7: Now let's sort this subpart [\"wand\" ? \"woodstock\" ? \"withdraw\"] by looking at their second letters. The second letter: \"wand\": \"a\" (1). \"woodstock\": \"o\" (15). \"withdraw\": \"i\" (9).\nThought 8: We now have: (1) \"wand\" < (9) \"withdraw\" < (15) \"woodstock\" for the subpart. Hence, we have \"aryl\" < \"coates\" < \"disputant\" < \"hardhat\" < \"inferring\" < \"lepidopterist\" < \"paddy\" < \"pent\" < \"peril\" < \"randolph\" < \"shortcake\" < \"tropopause\" < \"vermiculite\" < \"wand\" < \"withdraw\" < \"woodstock\".\nThought 9: I have now sorted all the words. The answer is aryl coates disputant hardhat inferring lepidopterist paddy pent peril randolph shortcake tropopause vermiculite wand withdraw woodstock\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "8990a8eec8cb1640403481bc29207f83c3410ce369ae308c2930b083a4a3b8e4",
    "id": "bbeh:word_sorting:132",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that o and p are the first two letters. Sort the following words with the new alphabet and separate them with comma: transformations, industrialization, lockwood, categorizations, oversimplifications, teem, photosynthesis, archery, bride, officious, arlen, coquette, barbudo, polytypy, lucrative, tunnel, radix",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "19b14e34f18425b860a060ee43954cbc08088c0b9b2fdf5644bd7cc2dac582fa",
    "id": "bbeh:word_sorting:137",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that g and t are the last two letters. Sort the following words with the new alphabet and separate them with comma: demonstrations, zorn, racy, spec, misunderstandings, booby, sin, snowball, misunderstandings, orphanage, oversimplifications, heck, butadiene, functor, rheumatic, shivery, flair, trench, testy, generalizations",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "d1fe611699f275b0a955f0d8c99351036ad24fe4143888afb0df8a33ef907381",
    "id": "bbeh:word_sorting:138",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that j is the last letter. Sort the following words with the new alphabet and separate them with comma: manumitted, disenfranchisement, sawbelly, qualifications, lightfooted, blackguard, clapeyron, seaworthy, classifications, qualifications, mathieu, wiseacre, lift, cognoscenti, justifications, reconnaissance, butt, geophysical, yves, purposive, scribe, agile, flamboyant, meager, woodcut",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "000cfe96adad892863432d803a83eb21c3045ad3442a2a40bfae83643893f226",
    "id": "bbeh:word_sorting:140",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that i and c are the first two letters. Sort the following words with the new alphabet and separate them with comma: congratulations, intercept, chess, newsmen, implications, credit, considerations, loci, tamp, geopolitic, umber, atmospheric, responsibilities, siren, industrialization, swart, lunge",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "c3a683993d07f98c8d63f58b00d5266ca640b1931849eca81d359c418605e767",
    "id": "bbeh:word_sorting:145",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: devious querulous portfolio romantic glenda trailside balky room pilot deallocate hipster craze coda vault luzon fundamental poop wreathe barefoot\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"devious\": \"d\" (4). \"querulous\": \"q\" (17). \"portfolio\": \"p\" (16). \"romantic\": \"r\" (18). \"glenda\": \"g\" (7). \"trailside\": \"t\" (20). \"balky\": \"b\" (2). \"room\": \"r\" (18). \"pilot\": \"p\" (16). \"deallocate\": \"d\" (4). \"hipster\": \"h\" (8). \"craze\": \"c\" (3). \"coda\": \"c\" (3). \"vault\": \"v\" (22). \"luzon\": \"l\" (12). \"fundamental\": \"f\" (6). \"poop\": \"p\" (16). \"wreathe\": \"w\" (23). \"barefoot\": \"b\" (2).\nThought 2: We now have: (2) [\"balky\" ? \"barefoot\"] < (3) [\"craze\" ? \"coda\"] < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) [\"pilot\" ? \"poop\" ? \"portfolio\"] < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 3: Now let's sort this subpart [\"balky\" ? \"barefoot\"] by looking at their second letters. The second letter: \"balky\": \"a\" (1). \"barefoot\": \"a\" (1).\nThought 4: We now have: (1) [\"balky\" ? \"barefoot\"] for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) [\"craze\" ? \"coda\"] < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) [\"pilot\" ? \"poop\" ? \"portfolio\"] < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 5: Now let's sort this subpart [\"craze\" ? \"coda\"] by looking at their second letters. The second letter: \"craze\": \"r\" (18). \"coda\": \"o\" (15).\nThought 6: We now have: (15) \"coda\" < (18) \"craze\" for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) \"coda\" < \"craze\" < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) [\"pilot\" ? \"poop\" ? \"portfolio\"] < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 7: Now let's sort this subpart [\"deallocate\" ? \"devious\"] by looking at their second letters. The second letter: \"deallocate\": \"e\" (5). \"devious\": \"e\" (5).\nThought 8: We now have: (5) [\"deallocate\" ? \"devious\"] for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) \"coda\" < \"craze\" < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) [\"pilot\" ? \"poop\" ? \"portfolio\"] < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 9: Now let's sort this subpart [\"pilot\" ? \"poop\" ? \"portfolio\"] by looking at their second letters. The second letter: \"pilot\": \"i\" (9). \"poop\": \"o\" (15). \"portfolio\": \"o\" (15).\nThought 10: We now have: (9) \"pilot\" < (15) [\"poop\" ? \"portfolio\"] for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) \"coda\" < \"craze\" < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) \"pilot\" < (15) [\"poop\" ? \"portfolio\"] < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 11: Now let's sort this subpart [\"room\" ? \"romantic\"] by looking at their second letters. The second letter: \"room\": \"o\" (15). \"romantic\": \"o\" (15).\nThought 12: We now have: (15) [\"room\" ? \"romantic\"] for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) \"coda\" < \"craze\" < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) \"pilot\" < (15) [\"poop\" ? \"portfolio\"] < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 13: Now let's sort this subpart [\"poop\" ? \"portfolio\"] by looking at their third letters. The third letter: \"poop\": \"o\" (15). \"portfolio\": \"r\" (18).\nThought 14: We now have: (15) \"poop\" < (18) \"portfolio\" for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) \"coda\" < \"craze\" < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) \"pilot\" < (15) \"poop\" < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 15: Now let's sort this subpart [\"room\" ? \"romantic\"] by looking at their third letters. The third letter: \"room\": \"m\" (13). \"romantic\": \"m\" (13).\nThought 16: We now have: (13) [\"room\" ? \"romantic\"] for the subpart. Hence, we have [\"balky\" ? \"barefoot\"] < (3) \"coda\" < \"craze\" < (4) [\"deallocate\" ? \"devious\"] < (6) \"fundamental\" < (7) \"glenda\" < (8) \"hipster\" < (12) \"luzon\" < (16) \"pilot\" < (15) \"poop\" < (17) \"querulous\" < (18) [\"room\" ? \"romantic\"] < (20) \"trailside\" < (22) \"vault\" < (23) \"wreathe\".\nThought 17: I have now sorted all the words. The answer is barefoot balky coda craze deallocate devious fundamental glenda hipster luzon pilot poop portfolio querulous room romantic trailside vault wreathe\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "0c567a7de1eb98aa41ea20a015ce045641751bd96f8a951587ae5e00ad23ea6c",
    "id": "bbeh:word_sorting:146",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: serviette appointee jocular cumin owens ashmen hardtop melissa landau capture schwartz simulate\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"serviette\": \"s\" (19). \"appointee\": \"a\" (1). \"jocular\": \"j\" (10). \"cumin\": \"c\" (3). \"owens\": \"o\" (15). \"ashmen\": \"a\" (1). \"hardtop\": \"h\" (8). \"melissa\": \"m\" (13). \"landau\": \"l\" (12). \"capture\": \"c\" (3). \"schwartz\": \"s\" (19). \"simulate\": \"s\" (19).\nThought 2: We now have: (1) [\"appointee\" ? \"ashmen\"] < (3) [\"cumin\" ? \"capture\"] < (8) \"hardtop\" < (10) \"jocular\" < (12) \"landau\" < (13) \"melissa\" < (15) \"owens\" < (19) [\"schwartz\" ? \"serviette\" ? \"simulate\"].\nThought 3: Now let's sort this subpart [\"appointee\" ? \"ashmen\"] by looking at their second letters. The second letter: \"appointee\": \"p\" (16). \"ashmen\": \"h\" (8).\nThought 4: We now have: (8) \"ashmen\" < (16) \"appointee\" for the subpart. Hence, we have \"ashmen\" < \"appointee\" < [\"cumin\" ? \"capture\"] < \"hardtop\" < \"jocular\" < \"landau\" < \"melissa\" < \"owens\" < [\"schwartz\" ? \"serviette\" ? \"simulate\"].\nThought 5: Now let's sort this subpart [\"cumin\" ? \"capture\"] by looking at their second letters. The second letter: \"cumin\": \"u\" (21). \"capture\": \"a\" (1).\nThought 6: We now have: (1) \"capture\" < (21) \"cumin\" for the subpart. Hence, we have \"ashmen\" < \"appointee\" < \"capture\" < \"cumin\" < \"hardtop\" < \"jocular\" < \"landau\" < \"melissa\" < \"owens\" < [\"schwartz\" ? \"serviette\" ? \"simulate\"].\nThought 7: Now let's sort this subpart [\"schwartz\" ? \"serviette\" ? \"simulate\"] by looking at their second letters. The second letter: \"schwartz\": \"c\" (3). \"serviette\": \"e\" (5). \"simulate\": \"i\" (9).\nThought 8: We now have: (3) \"schwartz\" < (5) \"serviette\" < (9) \"simulate\" for the subpart. Hence, we have \"ashmen\" < \"appointee\" < \"capture\" < \"cumin\" < \"hardtop\" < \"jocular\" < \"landau\" < \"melissa\" < \"owens\" < \"schwartz\" < \"serviette\" < \"simulate\".\nThought 9: I have now sorted all the words. The answer is ashmen appointee capture cumin hardtop jocular landau melissa owens schwartz serviette simulate\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "7dc1f48b01777195ab089cc38c6c3f7b0563cab13ef3d570a170efeb14d6578e",
    "id": "bbeh:word_sorting:151",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p and o are the first two letters. Sort the following words with the new alphabet and separate them with comma: testate, shiva, orchestra, permafrost, implications, generalizations, investigations, disqualifications, leasehold, ramifications",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "577d52606fd09b5cec52d38afec28f75ac549ddc56784865a49ec8e27159df9e",
    "id": "bbeh:word_sorting:155",
    "request": "Consider a new alphabet order [y, v, i, b, c, u, t, l, a, h, m, d, j, w, o, p, e, n, s, r, z, f, k, x, g, q]. Sort the following words with the new alphabet and separate them with comma: mammary, congratulations, bully, valkyrie, forthwith, individualization, jurassic, seeable, justifications, insurmountable, interior, cryptic, nassau, landslide, opinionate, qualifications, personifications, licensor, flatland, cardamom, ebb",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "76d75aa1b3edc1361d0a8efb009f5e790d337b58bc4fc0ac79f786300e423fcb",
    "id": "bbeh:word_sorting:158",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: nagy bmw blest powdery o's bus programmed mater keelson orchestrate birdwatch\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"nagy\": \"n\" (14). \"bmw\": \"b\" (2). \"blest\": \"b\" (2). \"powdery\": \"p\" (16). \"o's\": \"o\" (15). \"bus\": \"b\" (2). \"programmed\": \"p\" (16). \"mater\": \"m\" (13). \"keelson\": \"k\" (11). \"orchestrate\": \"o\" (15). \"birdwatch\": \"b\" (2).\nThought 2: We now have: (2) [\"bmw\" ? \"blest\" ? \"bus\" ? \"birdwatch\"] < (11) \"keelson\" < (13) \"mater\" < (14) \"nagy\" < (15) [\"o's\" ? \"orchestrate\"] < (16) [\"powdery\" ? \"programmed\"].\nThought 3: Now let's sort this subpart [\"bmw\" ? \"blest\" ? \"bus\" ? \"birdwatch\"] by looking at their second letters. The second letter: \"bmw\": \"m\" (13). \"blest\": \"l\" (12). \"bus\": \"u\" (21). \"birdwatch\": \"i\" (9).\nThought 4: We now have: (9) \"birdwatch\" < (12) \"blest\" < (13) \"bmw\" < (21) \"bus\" for the subpart. Hence, we have \"birdwatch\" < \"blest\" < \"bmw\" < \"bus\" < \"keelson\" < \"mater\" < \"nagy\" < [\"o's\" ? \"orchestrate\"] < [\"powdery\" ? \"programmed\"].\nThought 5: Now let's sort this subpart [\"o's\" ? \"orchestrate\"] by looking at their second letters. The second letter: \"o's\": \"s\" (19). \"orchestrate\": \"r\" (18).\nThought 6: We now have: (18) \"orchestrate\" < (19) \"o's\" for the subpart. Hence, we have \"birdwatch\" < \"blest\" < \"bmw\" < \"bus\" < \"keelson\" < \"mater\" < \"nagy\" < \"orchestrate\" < \"o's\" < [\"powdery\" ? \"programmed\"].\nThought 7: Now let's sort this subpart [\"powdery\" ? \"programmed\"] by looking at their second letters. The second letter: \"powdery\": \"o\" (15). \"programmed\": \"r\" (18).\nThought 8: We now have: (15) \"powdery\" < (18) \"programmed\" for the subpart. Hence, we have birdwatch blest bmw bus keelson mater nagy orchestrate o's powdery programmed.\nThought 9: I have now sorted all the words. The answer is birdwatch blest bmw bus keelson mater nagy orchestrate o's powdery programmed\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "be9ed1c001765b38596838e3d966efd1ea6ceb274e69f80e5726af19f3c66f50",
    "id": "bbeh:word_sorting:160",
    "request": "Consider a new alphabet order [b, c, h, r, m, s, e, z, w, p, f, q, g, a, i, x, y, l, d, o, v, u, k, n, t, j]. Sort the following words with the new alphabet and separate them with comma: pillage, incident, marionette, stipulate, kangaroo, sinter, insane, trammel, threshold, rationalizations, specifications, roundabout, demonstrations, mcleod, cortex, administrations, misrepresentations",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "87bebf04f2c7a019baca68286e05b67c4d69e63ea7f9d51925c2a3710c128d5a",
    "id": "bbeh:word_sorting:163",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: slav exonerate empathic grad firm deface missionary turbidity sculpt hornblower blanch velocity shell inexplainable bmw nickname patrick ingredient\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"slav\": \"s\" (19). \"exonerate\": \"e\" (5). \"empathic\": \"e\" (5). \"grad\": \"g\" (7). \"firm\": \"f\" (6). \"deface\": \"d\" (4). \"missionary\": \"m\" (13). \"turbidity\": \"t\" (20). \"sculpt\": \"s\" (19). \"hornblower\": \"h\" (8). \"blanch\": \"b\" (2). \"velocity\": \"v\" (22). \"shell\": \"s\" (19). \"inexplainable\": \"i\" (9). \"bmw\": \"b\" (2). \"nickname\": \"n\" (14). \"patrick\": \"p\" (16). \"ingredient\": \"i\" (9).\nThought 2: We now have: (2) [\"bmw\" ? \"blanch\"] < (4) \"deface\" < (5) [\"empathic\" ? \"exonerate\"] < (6) \"firm\" < (7) \"grad\" < (8) \"hornblower\" < (9) [\"ingredient\" ? \"inexplainable\"] < (13) \"missionary\" < (14) \"nickname\" < (16) \"patrick\" < (19) [\"sculpt\" ? \"shell\" ? \"slav\"] < (20) \"turbidity\" < (22) \"velocity\".\nThought 3: Now let's sort this subpart [\"bmw\" ? \"blanch\"] by looking at their second letters. The second letter: \"bmw\": \"m\" (13). \"blanch\": \"l\" (12).\nThought 4: We now have: (12) \"blanch\" < (13) \"bmw\" for the subpart. Hence, we have \"blanch\" < \"bmw\" < \"deface\" < [\"empathic\" ? \"exonerate\"] < \"firm\" < \"grad\" < \"hornblower\" < [\"ingredient\" ? \"inexplainable\"] < \"missionary\" < \"nickname\" < \"patrick\" < [\"sculpt\" ? \"shell\" ? \"slav\"] < \"turbidity\" < \"velocity\".\nThought 5: Now let's sort this subpart [\"empathic\" ? \"exonerate\"] by looking at their second letters. The second letter: \"empathic\": \"m\" (13). \"exonerate\": \"x\" (24).\nThought 6: We now have: (13) \"empathic\" < (24) \"exonerate\" for the subpart. Hence, we have \"blanch\" < \"bmw\" < \"deface\" < \"empathic\" < \"exonerate\" < \"firm\" < \"grad\" < \"hornblower\" < [\"ingredient\" ? \"inexplainable\"] < \"missionary\" < \"nickname\" < \"patrick\" < [\"sculpt\" ? \"shell\" ? \"slav\"] < \"turbidity\" < \"velocity\".\nThought 7: Now let's sort this subpart [\"ingredient\" ? \"inexplainable\"] by looking at their second letters. The second letter: \"ingredient\": \"n\" (14). \"inexplainable\": \"n\" (14).\nThought 8: We now have: (14) [\"ingredient\" ? \"inexplainable\"] for the subpart. Hence, we have \"blanch\" < \"bmw\" < \"deface\" < \"empathic\" < \"exonerate\" < \"firm\" < \"grad\" < \"hornblower\" < [\"ingredient\" ? \"inexplainable\"] < \"missionary\" < \"nickname\" < \"patrick\" < [\"sculpt\" ? \"shell\" ? \"slav\"] < \"turbidity\" < \"velocity\".\nThought 9: Now let's sort this subpart [\"sculpt\" ? \"shell\" ? \"slav\"] by looking at their second letters. The second letter: \"sculpt\": \"c\" (3). \"shell\": \"h\" (8). \"slav\": \"l\" (12).\nThought 10: We now have: (3) \"sculpt\" < (8) \"shell\" < (12) \"slav\" for the subpart. Hence, we have \"blanch\" < \"bmw\" < \"deface\" < \"empathic\" < \"exonerate\" < \"firm\" < \"grad\" < \"hornblower\" < [\"ingredient\" ? \"inexplainable\"] < \"missionary\" < \"nickname\" < \"patrick\" < \"sculpt\" < \"shell\" < \"slav\" < \"turbidity\" < \"velocity\".\nThought 11: I have now sorted all the words. The answer is blanch bmw deface empathic exonerate firm grad hornblower ingredient inexplainable missionary nickname patrick sculpt shell slav turbidity velocity\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "1104d0ee9772de82502b09d8de653a776e618e7cbb600676b1358099fb4d2670",
    "id": "bbeh:word_sorting:171",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that n and i are swapped. Sort the following words with the new alphabet and separate them with comma: yarmulke, anarchic, guelph, usage, immovable, syndrome, trammel, bureaucracy, diatom, liven, misrepresentations, phenomenology, provide, total, characterizations, fabricate, shortcut, transformations, manifestations, leftward, suggestive, ramifications, neo, acoustic",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "2995a555f66f7536964fc76c2ad4c158659a37fd67600680f169b9a2893449eb",
    "id": "bbeh:word_sorting:177",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: vertices necropsy dalton irreconciliable dawn hyacinth huntington\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"vertices\": \"v\" (22). \"necropsy\": \"n\" (14). \"dalton\": \"d\" (4). \"irreconcilable\": \"i\" (9). \"dawn\": \"d\" (4). \"hyacinth\": \"h\" (8). \"huntington\": \"h\" (8).\nThought 2: We now have: (4) [\"dalton\" ? \"dawn\"] < (8) [\"hyacinth\" ? \"huntington\"] < (9) \"irreconcilable\" < (14) \"necropsy\" < (22) \"vertices\".\nThought 3: Now let's sort this subpart [\"dalton\" ? \"dawn\"] by looking at their second letters. The second letter: \"dalton\": \"a\" (1). \"dawn\": \"a\" (1).\nThought 4: We now have: (1) [\"dalton\" ? \"dawn\"] for the subpart. Hence, we have [\"dalton\" ? \"dawn\"] < (8) [\"hyacinth\" ? \"huntington\"] < (9) \"irreconcilable\" < (14) \"necropsy\" < (22) \"vertices\".\nThought 5: Now let's sort this subpart [\"hyacinth\" ? \"huntington\"] by looking at their second letters. The second letter: \"hyacinth\": \"y\" (25). \"huntington\": \"u\" (21).\nThought 6: We now have: (21) \"huntington\" < (25) \"hyacinth\" for the subpart. Hence, we have [\"dalton\" ? \"dawn\"] < \"huntington\" < \"hyacinth\" < \"irreconcilable\" < \"necropsy\" < \"vertices\".\nThought 7: Now let's sort this subpart [\"dalton\" ? \"dawn\"] by looking at their third letters. The third letter: \"dalton\": \"l\" (12). \"dawn\": \"n\" (14).\nThought 8: We now have: (12) \"dalton\" < (14) \"dawn\" for the subpart. Hence, we have \"dalton\" < \"dawn\" < \"huntington\" < \"hyacinth\" < \"irreconcilable\" < \"necropsy\" < \"vertices\".\nThought 9: I have now sorted all the words. The answer is dalton dawn huntington hyacinth irreconcilable necropsy vertices\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "3759f9e58d7ee103a6f6b927c17b42dc937ac3fb2c65a3f98040b96babbd9b5d",
    "id": "bbeh:word_sorting:184",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that m and w are the first two letters. Sort the following words with the new alphabet and separate them with comma: implications, thereupon, ramifications, cutover, scrawny, electrolytic, misunderstandings, took, marginal, crag, lipton, diocletian, wife, workplace, wireman, investigations, inhuman, considerations, stalk, dickson, clytemnestra",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "88c6840caa35642e7387838440e23b13755757f733ee84236b07396dad813cd5",
    "id": "bbeh:word_sorting:186",
    "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and h are the last two letters. Sort the following words with the new alphabet and separate them with comma: herpes, seashore, categorizations, modifications, collaborations, qualifications, him, collaborations, correspond",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "5dde48ebbf6e4d2c9640116a3b7a2adc6b71baa0c4188c99e80804420857bc2d",
    "id": "bbeh:word_sorting:190",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: bylaw denizen situ gerundive skill grit sight brunch experiential pantheist chummy gestation fledgling stepmother allemand entrepreneur oceanic\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"bylaw\": \"b\" (2). \"denizen\": \"d\" (4). \"situ\": \"s\" (19). \"gerundive\": \"g\" (7). \"skill\": \"s\" (19). \"grit\": \"g\" (7). \"sight\": \"s\" (19). \"brunch\": \"b\" (2). \"experiential\": \"e\" (5). \"pantheist\": \"p\" (16). \"chummy\": \"c\" (3). \"gestation\": \"g\" (7). \"fledgling\": \"f\" (6). \"stepmother\": \"s\" (19). \"allemand\": \"a\" (1). \"entrepreneur\": \"e\" (5). \"oceanic\": \"o\" (15).\nThought 2: We now have: (1) \"allemand\" < (2) [\"bylaw\" ? \"brunch\"] < (3) \"chummy\" < (4) \"denizen\" < (5) [\"experiential\" ? \"entrepreneur\"] < (6) \"fledgling\" < (7) [\"gerundive\" ? \"grit\" ? \"gestation\"] < (15) \"oceanic\" < (16) \"pantheist\" < (19) [\"sight\" ? \"skill\" ? \"situ\" ? \"stepmother\"].\nThought 3: Now let's sort this subpart [\"bylaw\" ? \"brunch\"] by looking at their second letters. The second letter: \"bylaw\": \"y\" (25). \"brunch\": \"r\" (18).\nThought 4: We now have: (2) \"bylaw\" < (18) \"brunch\" for the subpart. Hence, we have \"allemand\" < \"bylaw\" < \"brunch\" < \"chummy\" < \"denizen\" < [\"experiential\" ? \"entrepreneur\"] < \"fledgling\" < [\"gerundive\" ? \"grit\" ? \"gestation\"] < \"oceanic\" < \"pantheist\" < [\"sight\" ? \"skill\" ? \"situ\" ? \"stepmother\"].\nThought 5: Now let's sort this subpart [\"experiential\" ? \"entrepreneur\"] by looking at their second letters. The second letter: \"experiential\": \"x\" (24). \"entrepreneur\": \"n\" (14).\nThought 6: We now have: (14) \"entrepreneur\" < (24) \"experiential\" for the subpart. Hence, we have \"allemand\" < \"bylaw\" < \"brunch\" < \"chummy\" < \"denizen\" < \"entrepreneur\" < \"experiential\" < \"fledgling\" < [\"gerundive\" ? \"grit\" ? \"gestation\"] < \"oceanic\" < \"pantheist\" < [\"sight\" ? \"skill\" ? \"situ\" ? \"stepmother\"].\nThought 7: Now let's sort this subpart [\"gerundive\" ? \"grit\" ? \"gestation\"] by looking at their second letters. The second letter: \"gerundive\": \"e\" (5). \"grit\": \"r\" (18). \"gestation\": \"e\" (5).\nThought 8: We now have: (5) [\"gerundive\" ? \"gestation\"] < (18) \"grit\" for the subpart. Hence, we have \"allemand\" < \"bylaw\" < \"brunch\" < \"chummy\" < \"denizen\" < \"entrepreneur\" < \"experiential\" < \"fledgling\" < [\"gerundive\" ? \"gestation\"] < \"grit\" < \"oceanic\" < \"pantheist\" < [\"sight\" ? \"skill\" ? \"situ\" ? \"stepmother\"].\nThought 9: Now let's sort this subpart [\"gerundive\" ? \"gestation\"] by looking at their third letters. The third letter: \"gerundive\": \"r\" (18). \"gestation\": \"s\" (19).\nThought 10: We now have: (18) \"gerundive\" < (19) \"gestation\" for the subpart. Hence, we have \"allemand\" < \"bylaw\" < \"brunch\" < \"chummy\" < \"denizen\" < \"entrepreneur\" < \"experiential\" < \"fledgling\" < \"gestation\" < \"gerundive\" < \"grit\" < \"oceanic\" < \"pantheist\" < [\"sight\" ? \"skill\" ? \"situ\" ? \"stepmother\"].\nThought 11: Now let's sort this subpart [\"sight\" ? \"skill\" ? \"situ\" ? \"stepmother\"] by looking at their second letters. The second letter: \"sight\": \"i\" (9). \"skill\": \"k\" (11). \"situ\": \"i\" (9). \"stepmother\": \"t\" (20).\nThought 12: We now have: (9) [\"sight\" ? \"situ\"] < (11) \"skill\" < (20) \"stepmother\" for the subpart. Hence, we have \"allemand\" < \"bylaw\" < \"brunch\" < \"chummy\" < \"denizen\" < \"entrepreneur\" < \"experiential\" < \"fledgling\" < \"gestation\" < \"gerundive\" < \"grit\" < \"oceanic\" < \"pantheist\" < [\"sight\" ? \"situ\"] < \"skill\" < \"stepmother\".\nThought 13: Now let's sort this subpart [\"sight\" ? \"situ\"] by looking at their third letters. The third letter: \"sight\": \"g\" (7). \"situ\": \"t\" (20).\nThought 14: We now have: (7) \"sight\" < (20) \"situ\" for the subpart. Hence, we have \"allemand\" < \"bylaw\" < \"brunch\" < \"chummy\" < \"denizen\" < \"entrepreneur\" < \"experiential\" < \"fledgling\" < \"gestation\" < \"gerundive\" < \"grit\" < \"oceanic\" < \"pantheist\" < \"sight\" < \"situ\" < \"skill\" < \"stepmother\".\nThought 15: I have now sorted all the words. The answer is allemand bylaw brunch chummy denizen entrepreneur experiential fledgling gerundive grit oceanic pantheist sight skill situ stepmother\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "b21d81cf2e0e9ecb93ccb717dd2103d988a483c3b715850074a3cc85b6f293b5",
    "id": "bbeh:word_sorting:194",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: dad roger soothsayer nair plexiglas rudiment\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"dad\": \"d\" (4). \"roger\": \"r\" (18). \"soothsayer\": \"s\" (19). \"nair\": \"n\" (14). \"plexiglas\": \"p\" (16). \"rudiment\": \"r\" (18).\nThought 2: We now have: (4) \"dad\" < (14) \"nair\" < (16) \"plexiglas\" < (18) [\"roger\" ? \"rudiment\"] < (19) \"soothsayer\".\nThought 3: Now let's sort this subpart [\"roger\" ? \"rudiment\"] by looking at their second letters. The second letter: \"roger\": \"o\" (15). \"rudiment\": \"u\" (21).\nThought 4: We now have: (15) \"roger\" < (21) \"rudiment\" for the subpart. Hence, we have \"dad\" < \"nair\" < \"plexiglas\" < \"roger\" < \"rudiment\" < \"soothsayer\".\nThought 5: I have now sorted all the words. The answer is dad nair plexiglas roger rudiment soothsayer\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "5d120145a8d5bf798c72e7462bdbb3099fc04b243291a88cd781c91dae913bf0",
    "id": "bbeh:word_sorting:195",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: vote roy anomalous director bestow marlowe gauss jess myel kowalewski chain sedan halma wrist expressway acerbity sing hallmark\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"vote\": \"v\" (22). \"roy\": \"r\" (18). \"anomalous\": \"a\" (1). \"director\": \"d\" (4). \"bestow\": \"b\" (2). \"marlowe\": \"m\" (13). \"gauss\": \"g\" (7). \"jess\": \"j\" (10). \"myel\": \"m\" (13). \"kowalewski\": \"k\" (11). \"chain\": \"c\" (3). \"sedan\": \"s\" (19). \"halma\": \"h\" (8). \"wrist\": \"w\" (23). \"expressway\": \"e\" (5). \"acerbity\": \"a\" (1). \"sing\": \"s\" (19). \"hallmark\": \"h\" (8).\nThought 2: We now have: (1) [\"acerbity\" ? \"anomalous\"] < (2) \"bestow\" < (3) \"chain\" < (4) \"director\" < (5) \"expressway\" < (7) \"gauss\" < (8) [\"halma\" ? \"hallmark\"] < (10) \"jess\" < (11) \"kowalewski\" < (13) [\"marlowe\" ? \"myel\"] < (18) \"roy\" < (19) [\"sing\" ? \"sedan\"] < (22) \"vote\" < (23) \"wrist\".\nThought 3: Now let's sort this subpart [\"acerbity\" ? \"anomalous\"] by looking at their second letters. The second letter: \"acerbity\": \"c\" (3). \"anomalous\": \"n\" (14).\nThought 4: We now have: (3) \"acerbity\" < (14) \"anomalous\" for the subpart. Hence, we have \"acerbity\" < \"anomalous\" < \"bestow\" < \"chain\" < \"director\" < \"expressway\" < \"gauss\" < [\"halma\" ? \"hallmark\"] < \"jess\" < \"kowalewski\" < [\"marlowe\" ? \"myel\"] < \"roy\" < [\"sing\" ? \"sedan\"] < \"vote\" < \"wrist\".\nThought 5: Now let's sort this subpart [\"halma\" ? \"hallmark\"] by looking at their second letters. The second letter: \"halma\": \"a\" (1). \"hallmark\": \"a\" (1).\nThought 6: We now have: (1) [\"halma\" ? \"hallmark\"] for the subpart. Hence, we have \"acerbity\" < \"anomalous\" < \"bestow\" < \"chain\" < \"director\" < \"expressway\" < \"gauss\" < [\"halma\" ? \"hallmark\"] < \"jess\" < \"kowalewski\" < [\"marlowe\" ? \"myel\"] < \"roy\" < [\"sing\" ? \"sedan\"] < \"vote\" < \"wrist\".\nThought 7: Now let's sort this subpart [\"marlowe\" ? \"myel\"] by looking at their second letters. The second letter: \"marlowe\": \"a\" (1). \"myel\": \"y\" (25).\nThought 8: We now have: (1) \"marlowe\" < (25) \"myel\" for the subpart. Hence, we have \"acerbity\" < \"anomalous\" < \"bestow\" < \"chain\" < \"director\" < \"expressway\" < \"gauss\" < [\"halma\" ? \"hallmark\"] < \"jess\" < \"kowalewski\" < \"marlowe\" < \"myel\" < \"roy\" < [\"sing\" ? \"sedan\"] < \"vote\" < \"wrist\".\nThought 9: Now let's sort this subpart [\"sing\" ? \"sedan\"] by looking at their second letters. The second letter: \"sing\": \"i\" (9). \"sedan\": \"e\" (5).\nThought 10: We now have: (5) \"sedan\" < (9) \"sing\" for the subpart. Hence, we have \"acerbity\" < \"anomalous\" < \"bestow\" < \"chain\" < \"director\" < \"expressway\" < \"gauss\" < [\"halma\" ? \"hallmark\"] < \"jess\" < \"kowalewski\" < \"marlowe\" < \"myel\" < \"roy\" < \"sedan\" < \"sing\" < \"vote\" < \"wrist\".\nThought 11: I have now sorted all the words. The answer is acerbity anomalous bestow chain director expressway gauss halma hallmark jess kowalewski marlowe myel roy sedan sing vote wrist\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "b18e18540bc5ef3d4b2e838664963015f473681585fbf7d42d9572b517c9da47",
    "id": "bbeh:word_sorting:196",
    "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: physique pancreas clogging saxony ex hippo basque niacin coxcomb synapse scent nightshade sub spider braun loud north decompression prosper\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"physique\": \"p\" (16). \"pancreas\": \"p\" (16). \"clogging\": \"c\" (3). \"saxony\": \"s\" (19). \"ex\": \"e\" (5). \"hippo\": \"h\" (8). \"basque\": \"b\" (2). \"niacin\": \"n\" (14). \"coxcomb\": \"c\" (3). \"synapse\": \"s\" (19). \"scent\": \"s\" (19). \"nightshade\": \"n\" (14). \"sub\": \"s\" (19). \"spider\": \"s\" (19). \"braun\": \"b\" (2). \"loud\": \"l\" (12). \"north\": \"n\" (14). \"decompression\": \"d\" (4). \"prosper\": \"p\" (16).\nThought 2: We now have: (2) [\"basque\" ? \"braun\"] < (3) [\"clogging\" ? \"coxcomb\"] < (4) \"decompression\" < (5) \"ex\" < (8) \"hippo\" < (12) \"loud\" < (14) [\"niacin\" ? \"nightshade\" ? \"north\"] < (16) [\"pancreas\" ? \"physique\" ? \"prosper\"] < (19) [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"].\nThought 3: Now let's sort this subpart [\"basque\" ? \"braun\"] by looking at their second letters. The second letter: \"basque\": \"a\" (1). \"braun\": \"r\" (18).\nThought 4: We now have: (1) \"basque\" < (18) \"braun\" for the subpart. Hence, we have [\"basque\" ? \"braun\"] < [\"clogging\" ? \"coxcomb\"] < \"decompression\" < \"ex\" < \"hippo\" < \"loud\" < [\"niacin\" ? \"nightshade\" ? \"north\"] < [\"pancreas\" ? \"physique\" ? \"prosper\"] < [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"].\nThought 5: Now let's sort this subpart [\"clogging\" ? \"coxcomb\"] by looking at their second letters. The second letter: \"clogging\": \"l\" (12). \"coxcomb\": \"o\" (15).\nThought 6: We now have: (12) \"clogging\" < (15) \"coxcomb\" for the subpart. Hence, we have \"basque\" < \"braun\" < \"clogging\" < \"coxcomb\" < \"decompression\" < \"ex\" < \"hippo\" < \"loud\" < [\"niacin\" ? \"nightshade\" ? \"north\"] < [\"pancreas\" ? \"physique\" ? \"prosper\"] < [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"].\nThought 7: Now let's sort this subpart [\"niacin\" ? \"nightshade\" ? \"north\"] by looking at their second letters. The second letter: \"niacin\": \"i\" (9). \"nightshade\": \"i\" (9). \"north\": \"o\" (15).\nThought 8: We now have: (9) [\"niacin\" ? \"nightshade\"] < (15) \"north\" for the subpart. Hence, we have \"basque\" < \"braun\" < \"clogging\" < \"coxcomb\" < \"decompression\" < \"ex\" < \"hippo\" < \"loud\" < [\"niacin\" ? \"nightshade\"] < \"north\" < [\"pancreas\" ? \"physique\" ? \"prosper\"] < [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"].\nThought 9: Now let's sort this subpart [\"niacin\" ? \"nightshade\"] by looking at their third letters. The third letter: \"niacin\": \"a\" (1). \"nightshade\": \"t\" (20).\nThought 10: We now have: (1) \"niacin\" < (20) \"nightshade\" for the subpart. Hence, we have \"basque\" < \"braun\" < \"clogging\" < \"coxcomb\" < \"decompression\" < \"ex\" < \"hippo\" < \"loud\" < \"niacin\" < \"nightshade\" < \"north\" < [\"pancreas\" ? \"physique\" ? \"prosper\"] < [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"].\nThought 11: Now let's sort this subpart [\"pancreas\" ? \"physique\" ? \"prosper\"] by looking at their second letters. The second letter: \"pancreas\": \"a\" (1). \"physique\": \"h\" (8). \"prosper\": \"r\" (18).\nThought 12: We now have: (1) \"pancreas\" < (8) \"physique\" < (18) \"prosper\" for the subpart. Hence, we have \"basque\" < \"braun\" < \"clogging\" < \"coxcomb\" < \"decompression\" < \"ex\" < \"hippo\" < \"loud\" < \"niacin\" < \"nightshade\" < \"north\" < \"pancreas\" < \"physique\" < \"prosper\" < [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"].\nThought 13: Now let's sort this subpart [\"saxony\" ? \"scent\" ? \"spider\" ? \"sub\" ? \"synapse\"] by looking at their second letters. The second letter: \"saxony\": \"a\" (1). \"scent\": \"c\" (3). \"spider\": \"p\" (16). \"sub\": \"u\" (21). \"synapse\": \"a\" (1).\nThought 14: We now have: (1) [\"saxony\" ? \"synapse\"] < (3) \"scent\" < (16) \"spider\" < (21) \"sub\" for the subpart. Hence, we have \"basque\" < \"braun\" < \"clogging\" < \"coxcomb\" < \"decompression\" < \"ex\" < \"hippo\" < \"loud\" < \"niacin\" < \"nightshade\" < \"north\" < \"pancreas\" < \"physique\" < \"prosper\" < \"saxony\" < \"scent\" < \"spider\" < \"sub\" < \"synapse\".\nThought 15: I have now sorted all the words. The answer is basque braun clogging coxcomb decompression ex hippo loud niacin north pancreas physique prosper saxony scent spider sub synapse\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n",
    "response_contract": {
      "max_length": 2048,
      "type": "exact_string"
    },
    "role": "final",
    "task": "word_sorting"
  },
  {
    "dataset": "bbeh",
    "family": "2cbd55f15e6ef998aa33f9d74a52942191eea10f3632d3c57a66cb65fa160ac2",
    "id": "bbeh:zebra_puzzles:002",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone likes a different physical activity: weight lifting, swimming, skiing, paragliding, biking.\nEveryone owns a different handbag brand: Gucci, Tumi, Balenciaga, Kate Spade, Versace.\nEveryone supports a different NFL team: San Francisco 49ers, Kansas City Chiefs, Baltimore Ravens, Atlanta Falcons, Detroit Lions.\nEveryone drives a different car: Lexus, Mercedes, Tesla, McLaren, Hyundai.\nEveryone likes a different type of gemstone: Opals, Diamonds, Sapphires, Aquamarines, Pearls.\nEveryone plays a different musical instrument: guitar, cello, drums, piano, saxophone.\nEveryone reads a different genre of books: spiritual, fantasy, science fiction, magical realism, humor.\nEveryone likes a different fruit: mangoes, strawberries, grapes, raspberries, oranges.\nEveryone has a different favorite soft drink: 7up, Powerade, Pepsi, Fanta, Limca.\nEveryone smokes a different cigarette: Salem, Newport, Pall Mall, Dunhill, Blends.\nEveryone supports a different NBA team: Bucks, Bulls, Warriors, Mavericks, Knicks.\nEveryone likes a different food: pasta, pizza, burgers, soups, fried rice.\nEveryone lives in a different colored house: silver, orange, black, turquoise, yellow.\nEveryone is a different nationality: Chinese, Pakistani, American, Portuguese, Swiss.\nEveryone likes a different type of flower: lilies, daffodils, tulips, begonias, orchids.\nEveryone likes a different favorite animal: walruses, sharks, sea bass, beetles, camels.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Detroit Lions is the person who drives the Hyundai.\nClue 2: The person who likes swimming is somewhere to the left of the person who likes Powerade.\nClue 3: The person who smokes Pall Mall is somewhere to the left of the person who likes Fanta.\nClue 4: The American is not the person who likes sea bass.\nClue 5: The person who likes paragliding is next to the person who eats mangoes.\nClue 6: The person who likes Opals is the person who owns a Kate Spade.\nClue 7: The person who owns a Kate Spade is immediately to the left of the person who drives the Hyundai.\nClue 8: The person who lives in the orange house is immediately to the left of the person who eats mangoes.\nClue 9: The person who owns a Versace is immediately to the left of the person who drives the Mercedes.\nClue 10: The person who likes sharks is next to the person who supports the Mavericks.\nClue 11: The person who drives the McLaren is not the person who supports the Kansas City Chiefs.\nClue 12: The person who reads magical realism books is somewhere to the left of the person who reads fantasy books.\nClue 13: The person who likes 7up is not the saxophone player.\nClue 14: The person who reads humor books is the drums player.\nClue 15: The person who reads magical realism books is next to the person who likes weight lifting.\nClue 16: The person who smokes Newport is immediately to the left of the person who lives in the silver house.\nClue 17: The person who likes tulips is next to the person who likes sea bass.\nClue 18: The person who likes sea bass is somewhere in between the person who likes sharks and the cello player in that order.\nClue 19: The person who reads science fiction books is the piano player.\nClue 20: The person who owns a Tumi is the person who likes Diamonds.\nClue 21: The person who smokes Dunhill is not the person who likes weight lifting.\nClue 22: The person who lives in the orange house is the person who eats oranges.\nClue 23: The drums player is somewhere to the left of the person who likes beetles.\nClue 24: The person who reads humor books is somewhere in between the Chinese and the person who likes biking in that order.\nClue 25: The person who reads magical realism books is the guitar player.\nClue 26: The person who drives the McLaren is somewhere to the left of the person who owns a Balenciaga.\nClue 27: The person who likes orchids is somewhere in between the person who smokes Pall Mall and the person who likes Pepsi in that order.\nClue 28: The person who likes burgers is at one of the ends.\nClue 29: The person who supports the Baltimore Ravens is the person who likes fried rice.\nClue 30: The person who smokes Pall Mall is not the person who likes Fanta.\nClue 31: The cello player is the person who reads spiritual books.\nClue 32: The person who likes Fanta is not the person who smokes Salem.\nClue 33: The person who likes Limca is the person who eats grapes.\nClue 34: The person who supports the Bulls is somewhere to the left of the person who likes begonias.\nClue 35: The person who lives in the silver house is somewhere in between the person who eats oranges and the person who lives in the yellow house in that order.\nClue 36: The guitar player is next to the person who smokes Salem.\nClue 37: The person who likes Pearls is immediately to the left of the person who likes fried rice.\nClue 38: The person who reads fantasy books is somewhere to the left of the Swiss.\nClue 39: The person who likes begonias is the person who smokes Dunhill.\nClue 40: The person who drives the Tesla is somewhere in between the person who drives the Mercedes and the person who drives the McLaren in that order.\nClue 41: The Swiss is not the person who likes daffodils.\nClue 42: The person who likes camels is immediately to the left of the person who likes biking.\nClue 43: The person who likes Limca is next to the person who smokes Salem.\nClue 44: The person who likes beetles is not the Chinese.\nClue 45: The person who lives in the yellow house is at one of the ends.\nClue 46: The person who likes Fanta is at one of the ends.\nClue 47: The person who eats mangoes is somewhere to the left of the person who likes Fanta.\nClue 48: The person who likes Opals is somewhere to the left of the person who likes Aquamarines.\nClue 49: The person who likes orchids is next to the person who smokes Pall Mall.\nClue 50: The person who supports the Mavericks is at one of the ends.\nClue 51: The person who supports the Bulls is somewhere in between the person who lives in the black house and the person who likes sea bass in that order.\nClue 52: The person who smokes Pall Mall is not the person who likes Fanta.\nClue 53: The person who supports the Mavericks is not the person who likes tulips.\nClue 54: The person who likes Pepsi is not the person who likes orchids.\nClue 55: The person who lives in the black house is not the person who supports the Bucks.\nClue 56: The person who reads magical realism books is somewhere to the left of the person who likes sharks.\nClue 57: The person who likes weight lifting is somewhere in between the person who lives in the turquoise house and the person who eats mangoes in that order.\nClue 58: The person who likes beetles is not the Chinese.\nClue 59: The person who likes swimming is at one of the ends.\nClue 60: The person who smokes Pall Mall is the person who supports the Mavericks.\nClue 61: The person who reads magical realism books is the person who likes swimming.\nClue 62: The person who lives in the silver house is not the person who likes orchids.\nClue 63: The person who eats strawberries is not the person who reads fantasy books.\nClue 64: The person who likes Limca is at one of the ends.\nClue 65: The piano player is next to the person who lives in the yellow house.\nClue 66: The person who likes weight lifting is immediately to the left of the person who likes 7up.\nClue 67: The person who supports the Warriors is next to the person who likes lilies.\nClue 68: The person who likes lilies is somewhere in between the person who likes sharks and the piano player in that order.\nClue 69: The Chinese is somewhere to the left of the Pakistani.\nClue 70: The piano player is immediately to the left of the person who supports the Knicks.\nClue 71: The person who supports the Knicks is the Portuguese.\nClue 72: The person who smokes Blends is at one of the ends.\nClue 73: The drums player is immediately to the left of the Swiss.\nClue 74: The person who drives the Tesla is next to the person who likes Diamonds.\nClue 75: The person who likes lilies is somewhere in between the person who eats raspberries and the person who lives in the silver house in that order.\nClue 76: The person who likes walruses is at one of the ends.\nClue 77: The piano player is somewhere in between the Pakistani and the person who likes Fanta in that order.\nClue 78: The person who likes 7up is somewhere in between the person who likes sharks and the person who smokes Dunhill in that order.\nClue 79: The person who lives in the orange house is somewhere in between the saxophone player and the person who supports the Knicks in that order.\nClue 80: The person who supports the Bucks is somewhere to the left of the person who supports the Knicks.\nClue 81: The cello player is not the person who eats oranges.\nClue 82: The person who smokes Salem is the person who likes Powerade.\nClue 83: The Portuguese is the cello player.\nClue 84: The American is immediately to the left of the Chinese.\nClue 85: The person who likes Diamonds is immediately to the left of the person who owns a Gucci.\nClue 86: The person who supports the Warriors is somewhere to the left of the person who likes biking.\nClue 87: The person who smokes Newport is somewhere to the left of the person who eats strawberries.\nClue 88: The Chinese is the person who reads fantasy books.\nClue 89: The person who likes paragliding is somewhere in between the person who lives in the black house and the person who eats mangoes in that order.\nClue 90: The saxophone player is somewhere to the left of the Pakistani.\nClue 91: The person who likes orchids is immediately to the left of the person who likes 7up.\nClue 92: The person who likes Pearls is the person who supports the San Francisco 49ers.\nClue 93: The person who smokes Dunhill is immediately to the left of the person who likes tulips.\nClue 94: The guitar player is somewhere to the left of the person who reads science fiction books.\nClue 95: The person who likes daffodils is immediately to the left of the person who likes Powerade.\nClue 96: The person who smokes Newport is somewhere in between the person who likes sharks and the person who eats strawberries in that order.\nClue 97: The person who smokes Salem is not the person who likes 7up.\nClue 98: The person who likes swimming is not the person who eats oranges.\nClue 99: The person who likes pizza is the person who owns a Versace.\nClue 100: The Chinese is somewhere to the left of the drums player.\nClue 101: The person who reads spiritual books is at one of the ends.\nClue 102: The person who likes camels is somewhere to the left of the person who supports the Bucks.\nClue 103: The person who smokes Blends is not the person who likes Pepsi.\nClue 104: The person who lives in the yellow house is the person who likes tulips.\nClue 105: The person who supports the Bulls is somewhere in between the person who likes daffodils and the Swiss in that order.\nClue 106: The person who owns a Versace is immediately to the left of the person at the 2nd position.\nClue 107: The Chinese is somewhere to the left of the person who likes 7up.\nClue 108: The person who lives in the black house is immediately to the left of the person who reads humor books.\nClue 109: The person who likes Limca is not the person who likes skiing.\nClue 110: The Pakistani is not the person who likes tulips.\nClue 111: The person who reads magical realism books is the person who likes walruses.\nClue 112: The person who lives in the yellow house is not the person who smokes Dunhill.\nClue 113: The person who reads science fiction books is the person who supports the Bucks.\nClue 114: The person who likes Limca is the person who likes swimming.\nClue 115: The guitar player is immediately to the left of the person who eats raspberries.\nClue 116: The person who likes pasta is somewhere in between the person who drives the Mercedes and the person who likes soups in that order.\nClue 117: The Pakistani is next to the piano player.\nClue 118: The person who likes paragliding is not the Swiss.\n\nQuestion: What position is the person who owns a Kate Spade at?",
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    "id": "bbeh:zebra_puzzles:004",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different fruit: grapes, kiwis, pears, strawberries, bananas, raspberries, blackberries.\nEveryone has a different favorite soft drink: Mirinda, Powerade, Fanta, Limca, Pepsi, Sprite, Gatorade.\nEveryone likes a different food: curry, pasta, tacos, kebabs, soups, burgers, sandwiches.\nEveryone likes a different physical activity: base jumping, paragliding, weight lifting, skiing, hiking, snorkeling, bungee jumping.\nEveryone has a different name: Drew, Rajiv, Ahmed, Maven, Bob, Margaret, Barbara.\nEveryone drives a different car: Mercedes, Ferrari, Kia, McLaren, Hyundai, BMW, Audi.\nEveryone supports a different NBA team: Hawks, Celtics, Bulls, Bucks, Warriors, Lakers, Suns.\nEveryone plays a different musical instrument: saxophone, violin, oboe, cello, harmonica, harp, flute.\nEveryone likes a different favorite animal: mules, mice, amberjacks, frogs, viperfish, owls, tigers.\nEveryone has a different profession: designer, singer, actor, spy, doctor, chef, athlete.\nEveryone likes a different type of flower: orchids, tulips, dahlias, begonias, daisies, roses, lilies.\nEveryone drives a different motorbike: Piaggio, Honda, Buell, Ducati, Bajaj, Suzuki, Yamaha.\nEveryone has a different favorite hobby: drone flying, kite flying, camping, coin collecting, sailing, juggling, beekeeping.\nEveryone likes a different type of gemstone: Ambers, Amethysts, Obsidians, Corals, Opals, Topaz, Rubies.\nEveryone drinks a different drink: orange juice, milk, water, hot chocolate, tea, lemonade, beer.\nEveryone lives in a different colored house: teal, indigo, blue, violet, pink, yellow, white.\nEveryone owns a different handbag brand: Kate Spade, Coach, Tory Burch, Tumi, Dolce and Gabbana, Polo Ralph Lauren, Gucci.\nEveryone smokes a different cigarette: Blends, Winston, Blue Master, Marlboro, Newport, Salem, Pall Mall.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who eats kiwis is the person who owns a Tumi.\nClue 2: Margaret is not the person who supports the Warriors.\nClue 3: The person who supports the Bucks is not the person who likes snorkeling.\nClue 4: The person who drinks milk is somewhere to the left of the person who drinks water.\nClue 5: The person who likes beekeeping is the person who lives in the teal house.\nClue 6: The person who likes Fanta is at one of the ends.\nClue 7: The person who drives the Bajaj is not the cello player.\nClue 8: The person who likes base jumping is immediately to the left of the person who lives in the violet house.\nClue 9: The person who eats grapes is immediately to the left of the person who drinks milk.\nClue 10: The person who eats strawberries is immediately to the left of the person who likes Powerade.\nClue 11: The person who likes dahlias is the person who likes Opals.\nClue 12: The person who likes lilies is immediately to the left of the person who owns a Coach.\nClue 13: The person who lives in the teal house is not the person who drives the Mercedes.\nClue 14: The person who likes sandwiches is not the person who drives the McLaren.\nClue 15: The person who drinks water is at one of the ends.\nClue 16: The person who supports the Suns is somewhere in between the person who likes soups and the person who likes juggling in that order.\nClue 17: The person who eats grapes is somewhere to the left of the person who owns a Kate Spade.\nClue 18: The person who likes tigers is not the person who likes drone flying.\nClue 19: The person who smokes Marlboro is somewhere in between the person who owns a Polo Ralph Lauren and the person who likes Powerade in that order.\nClue 20: The person who likes hiking is at one of the ends.\nClue 21: The person who drives the Honda is Drew.\nClue 22: The person who smokes Pall Mall is the person who drinks milk.\nClue 23: The person who eats pears is the person who likes roses.\nClue 24: The person who supports the Celtics is somewhere to the left of the person who likes frogs.\nClue 25: The person who likes Limca is at one of the ends.\nClue 26: The designer is not the person who drives the Kia.\nClue 27: The person who drives the BMW is next to the person who supports the Celtics.\nClue 28: The person who supports the Celtics is the person who drives the Kia.\nClue 29: The person who likes Sprite is immediately to the left of the person who drinks hot chocolate.\nClue 30: Bob is somewhere to the left of the person who likes drone flying.\nClue 31: The person who likes Obsidians is the person who eats bananas.\nClue 32: The person who likes sailing is immediately to the left of the doctor.\nClue 33: The person who eats blackberries is somewhere to the left of the person who likes Mirinda.\nClue 34: The person who likes bungee jumping is next to Maven.\nClue 35: The person who supports the Celtics is not the designer.\nClue 36: The person who supports the Celtics is immediately to the left of the person who drives the McLaren.\nClue 37: The person who supports the Warriors is next to the person who supports the Suns.\nClue 38: The person who supports the Celtics is not the person who likes soups.\nClue 39: The person who likes Opals is somewhere to the left of the person who likes Limca.\nClue 40: The person at the 7th position is the person who eats kiwis.\nClue 41: The violin player is the person who drives the BMW.\nClue 42: The person who likes kite flying is somewhere in between the oboe player and the person who supports the Warriors in that order.\nClue 43: Maven is somewhere in between the harmonica player and the person who lives in the indigo house in that order.\nClue 44: The person who eats blackberries is the person who likes Powerade.\nClue 45: The person who supports the Bulls is not the person who likes sailing.\nClue 46: The person who likes Ambers is immediately to the left of the person at the 4th position.\nClue 47: The person who drinks tea is the person who smokes Marlboro.\nClue 48: The person who likes begonias is the person who drinks orange juice.\nClue 49: The person who likes weight lifting is somewhere in between Margaret and the person who drives the Suzuki in that order.\nClue 50: The harmonica player is immediately to the left of the person who drives the Ducati.\nClue 51: The flute player is immediately to the left of Ahmed.\nClue 52: The person who likes skiing is not the person who supports the Celtics.\nClue 53: The person who drives the Ferrari is the person who likes viperfish.\nClue 54: The person who smokes Winston is the person who likes orchids.\nClue 55: The harmonica player is not the person who drives the Ferrari.\nClue 56: Bob is somewhere to the left of the cello player.\nClue 57: The person who lives in the indigo house is not the singer.\nClue 58: The person who likes bungee jumping is the cello player.\nClue 59: The person who likes snorkeling is not the person who likes pasta.\nClue 60: The person who drives the Suzuki is at one of the ends.\nClue 61: The person who likes kite flying is immediately to the left of the person who drives the Mercedes.\nClue 62: The singer is Maven.\nClue 63: The person who likes burgers is at one of the ends.\nClue 64: The person who drives the Suzuki is at one of the ends.\nClue 65: The person who drives the Mercedes is at one of the ends.\nClue 66: The person who supports the Warriors is at one of the ends.\nClue 67: The person who drives the Honda is not the designer.\nClue 68: The person who likes curry is somewhere to the left of the actor.\nClue 69: The person who likes curry is somewhere to the left of the violin player.\nClue 70: The person who drinks beer is at one of the ends.\nClue 71: The person who lives in the indigo house is the person who drives the Suzuki.\nClue 72: The person who drives the Ducati is somewhere in between the person who drives the Kia and the person who likes bungee jumping in that order.\nClue 73: Drew is somewhere to the left of the person who likes drone flying.\nClue 74: The actor is somewhere in between the person who drives the Kia and the person who likes burgers in that order.\nClue 75: The person who drinks milk is immediately to the left of the person who likes Rubies.\nClue 76: The person who supports the Bucks is somewhere to the left of the person who supports the Warriors.\nClue 77: The harp player is the singer.\nClue 78: The person who eats pears is the person who smokes Blue Master.\nClue 79: The person who likes tigers is the person who drives the Suzuki.\nClue 80: The person who supports the Warriors is at one of the ends.\nClue 81: The person who owns a Coach is the person who eats bananas.\nClue 82: The athlete is the person who likes curry.\nClue 83: Barbara is somewhere in between the person who likes owls and the person who likes amberjacks in that order.\nClue 84: The person who likes camping is next to the person who drives the Honda.\nClue 85: Ahmed is somewhere to the left of Maven.\nClue 86: The person who supports the Bucks is immediately to the left of the person who lives in the blue house.\nClue 87: The person who drives the Ducati is next to the person who lives in the indigo house.\nClue 88: The person who lives in the violet house is the doctor.\nClue 89: The person who supports the Hawks is immediately to the left of the person who likes camping.\nClue 90: The person who owns a Dolce and Gabbana is the person who likes Pepsi.\nClue 91: The person who owns a Tory Burch is immediately to the left of the person who likes Obsidians.\nClue 92: The person who drinks tea is the person who eats strawberries.\nClue 93: The person who drives the BMW is the person who supports the Lakers.\nClue 94: The person who likes daisies is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 95: The person who supports the Lakers is somewhere to the left of the harp player.\nClue 96: The cello player is at one of the ends.\nClue 97: The spy is the person who drives the BMW.\nClue 98: The person who supports the Warriors is the person who drives the Suzuki.\nClue 99: The person who drives the Hyundai is somewhere to the left of the person who drives the Suzuki.\nClue 100: The person who supports the Suns is the person who drives the Hyundai.\nClue 101: The person who likes curry is Ahmed.\nClue 102: The person who likes hiking is somewhere to the left of the saxophone player.\nClue 103: The spy is next to the doctor.\nClue 104: The person who supports the Warriors is next to the harp player.\nClue 105: The person who likes mules is not the chef.\nClue 106: The spy is the person who likes kebabs.\nClue 107: The person who likes Topaz is immediately to the left of the person who likes Obsidians.\nClue 108: The person who drives the Ducati is immediately to the left of the person who lives in the indigo house.\nClue 109: The person who lives in the indigo house is the person who drives the Mercedes.\nClue 110: The person who lives in the white house is not the person who supports the Celtics.\nClue 111: The person who lives in the indigo house is the person who likes juggling.\nClue 112: The person who lives in the indigo house is next to the person who lives in the blue house.\nClue 113: The person who likes amberjacks is the singer.\nClue 114: The harmonica player is not Maven.\nClue 115: The person who likes tigers is Rajiv.\nClue 116: The person who drives the McLaren is somewhere to the left of Maven.\nClue 117: The person who likes Ambers is the person who smokes Newport.\nClue 118: The person who likes burgers is at one of the ends.\nClue 119: The person who likes bungee jumping is next to Maven.\nClue 120: Drew is not the person who likes coin collecting.\nClue 121: The person who likes Pepsi is somewhere in between the person who likes Fanta and the person who eats blackberries in that order.\nClue 122: The person who likes owls is not the chef.\nClue 123: The person who likes camping is immediately to the left of the person who supports the Lakers.\nClue 124: The person who eats kiwis is the person who likes orchids.\nClue 125: The person who likes skiing is not Ahmed.\nClue 126: The person who likes frogs is not Maven.\nClue 127: The person who drinks orange juice is immediately to the left of the person who drinks lemonade.\nClue 128: The person who drinks milk is somewhere to the left of the person who likes roses.\nClue 129: The person who drives the Buell is the person who drives the Kia.\nClue 130: The person who likes Gatorade is next to the person who likes Limca.\nClue 131: The person who supports the Bucks is immediately to the left of the person who likes kite flying.\nClue 132: The person who likes camping is next to Drew.\nClue 133: The person who smokes Blends is somewhere to the left of the person at the 3rd position.\nClue 134: The person who lives in the teal house is the actor.\nClue 135: The person who owns a Polo Ralph Lauren is the person who likes Corals.\nClue 136: The person who lives in the yellow house is somewhere to the left of the person who drives the Suzuki.\nClue 137: The person who drives the Ferrari is immediately to the left of the person who likes paragliding.\nClue 138: The person who drives the McLaren is the harmonica player.\nClue 139: The person who lives in the pink house is immediately to the left of the person who likes kebabs.\nClue 140: The flute player is at one of the ends.\nClue 141: The person who eats pears is the person who likes Rubies.\n\nQuestion: What position is the person who eats raspberries at?",
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    "dataset": "bbeh",
    "family": "7c4af9aee5fc752fe2ee6b6dead8adafc1604efaae305bdad23093cd9eff44be",
    "id": "bbeh:zebra_puzzles:007",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of gemstone: Gypsum, Sapphires, Amethysts, Topaz, Diamonds, Rubies, Pearls.\nEveryone has a different favorite hobby: painting, cheese making, language learning, quilting, stamp collecting, canoeing, juggling.\nEveryone plays a different musical instrument: saxophone, piano, drums, flute, guitar, harmonica, harp.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tumi, Gucci, Michael Kors, Versace, Balenciaga, Coach.\nEveryone plays a different sport: ice hockey, tennis, basketball, badminton, cricket, baseball, squash.\nEveryone is a different nationality: Australian, Indian, German, Iranian, Sri Lankan, Spanish, Japanese.\nEveryone supports a different NFL team: Cincinnati Bengals, Atlanta Falcons, Los Angeles Rams, Seattle Seahawks, Kansas City Chiefs, Miami Dolphins, Detroit Lions.\nEveryone likes a different fruit: pears, raspberries, oranges, bananas, blueberries, kiwis, strawberries.\nEveryone likes a different favorite animal: kiwis, flamingoes, meerkats, cats, starfish, whales, oscars.\nEveryone drinks a different drink: coffee, tea, hot chocolate, water, orange juice, milk, lemonade.\nEveryone likes a different physical activity: skiing, swimming, running, paragliding, snorkeling, bungee jumping, base jumping.\nEveryone likes a different type of flower: dahlias, begonias, marigolds, roses, daisies, peonies, carnations.\nEveryone smokes a different cigarette: Marlboro, Blends, Davidoff, Blue Master, Pall Mall, Winston, Camel.\nEveryone lives in a different colored house: teal, orange, blue, silver, brown, pink, yellow.\nEveryone has a different profession: singer, artist, chef, doctor, engineer, dancer, designer.\nEveryone reads a different genre of books: science fiction, spiritual, short story, fantasy, history, magical realism, mystery.\nEveryone likes a different food: pizza, fried rice, noodles, curry, pasta, tacos, burgers.\nEveryone has a different name: Michael, Tao, Jackson, Karan, Michelle, Mandy, Jones.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who eats kiwis is the Indian.\nClue 2: The person who owns a Tumi is somewhere to the left of the drums player.\nClue 3: The person who likes cheese making is the person at the 5th position.\nClue 4: The cricket player is somewhere to the left of the Spanish.\nClue 5: The person who owns a Michael Kors is the person who likes Amethysts.\nClue 6: The person who supports the Miami Dolphins is somewhere in between the person who smokes Camel and the person who eats bananas in that order.\nClue 7: The squash player is not the person who likes paragliding.\nClue 8: The person who smokes Marlboro is immediately to the left of the person who owns a Michael Kors.\nClue 9: The person who reads history books is at one of the ends.\nClue 10: The squash player is somewhere to the left of the person who likes paragliding.\nClue 11: The person who likes snorkeling is the person who supports the Los Angeles Rams.\nClue 12: The basketball player is the person who eats oranges.\nClue 13: The person who likes dahlias is the person who likes Gypsum.\nClue 14: The person who likes Amethysts is the person who eats bananas.\nClue 15: The person who likes dahlias is immediately to the left of the harmonica player.\nClue 16: The person who drinks milk is the person who lives in the pink house.\nClue 17: The person who reads short story books is at one of the ends.\nClue 18: The person who lives in the yellow house is Michael.\nClue 19: The drums player is the person who smokes Marlboro.\nClue 20: The person who lives in the teal house is the person who likes meerkats.\nClue 21: The person who likes base jumping is next to the German.\nClue 22: The person who likes dahlias is the person who supports the Seattle Seahawks.\nClue 23: The person who likes begonias is next to the person who reads short story books.\nClue 24: The squash player is immediately to the left of the Iranian.\nClue 25: The person who lives in the brown house is at one of the ends.\nClue 26: The person who likes Pearls is the person who owns a Coach.\nClue 27: The person who smokes Camel is next to the person who likes carnations.\nClue 28: The person who lives in the blue house is next to the person who lives in the brown house.\nClue 29: The person who smokes Blue Master is immediately to the left of the person who reads science fiction books.\nClue 30: The drums player is next to the Indian.\nClue 31: The piano player is somewhere in between the person who likes Topaz and the person who likes marigolds in that order.\nClue 32: The person at the 1st position is immediately to the left of the person who drinks orange juice.\nClue 33: The person who likes swimming is the person who owns a Versace.\nClue 34: The chef is immediately to the left of the person who likes noodles.\nClue 35: The person who supports the Detroit Lions is next to the baseball player.\nClue 36: The person who likes base jumping is immediately to the left of the person who reads short story books.\nClue 37: The person who likes Sapphires is not the German.\nClue 38: Michelle is somewhere in between the person who lives in the teal house and the person who likes quilting in that order.\nClue 39: The Spanish is immediately to the left of the person who eats oranges.\nClue 40: The person who likes marigolds is at one of the ends.\nClue 41: The person who eats oranges is at one of the ends.\nClue 42: The person who likes begonias is the person who owns a Coach.\nClue 43: The person who likes skiing is somewhere in between the Australian and the baseball player in that order.\nClue 44: The tennis player is somewhere in between the person who likes snorkeling and the person who likes Amethysts in that order.\nClue 45: The person who supports the Los Angeles Rams is the person who owns a Tumi.\nClue 46: The person who supports the Cincinnati Bengals is not the person who likes Rubies.\nClue 47: The person who reads spiritual books is immediately to the left of the person who reads science fiction books.\nClue 48: The person who drinks lemonade is somewhere in between the person who likes tacos and the person who likes burgers in that order.\nClue 49: The person who reads fantasy books is not the person who likes daisies.\nClue 50: The Iranian is not the person who reads mystery books.\nClue 51: The person who owns a Balenciaga is at one of the ends.\nClue 52: The person who reads magical realism books is the person who smokes Davidoff.\nClue 53: The person who supports the Los Angeles Rams is immediately to the left of the person who likes paragliding.\nClue 54: The German is at one of the ends.\nClue 55: The baseball player is somewhere to the left of the person who likes swimming.\nClue 56: The person who likes cats is the person who likes juggling.\nClue 57: The saxophone player is not the person who likes Amethysts.\nClue 58: The person who likes fried rice is immediately to the left of the person who drinks tea.\nClue 59: Michael is immediately to the left of the person who lives in the silver house.\nClue 60: The person who owns a Dolce and Gabbana is not the person who reads fantasy books.\nClue 61: The person who lives in the blue house is immediately to the left of the person who likes burgers.\nClue 62: The person who likes Topaz is somewhere in between the harmonica player and the person who smokes Blends in that order.\nClue 63: The person who likes running is immediately to the left of the harmonica player.\nClue 64: The person who supports the Atlanta Falcons is somewhere in between the cricket player and the guitar player in that order.\nClue 65: The designer is the person who likes flamingoes.\nClue 66: The person who smokes Camel is not the harmonica player.\nClue 67: The person who likes Amethysts is next to the person who eats pears.\nClue 68: The person who supports the Miami Dolphins is not the person who likes base jumping.\nClue 69: The person who smokes Blue Master is the person who reads spiritual books.\nClue 70: The person who likes kiwis is immediately to the left of the person who lives in the orange house.\nClue 71: Michael is immediately to the left of Jones.\nClue 72: The person who likes kiwis is next to the person who lives in the yellow house.\nClue 73: The Spanish is somewhere in between the Japanese and the person who supports the Detroit Lions in that order.\nClue 74: The person who owns a Versace is at one of the ends.\nClue 75: The person who reads history books is the person who owns a Balenciaga.\nClue 76: The person who likes begonias is somewhere in between the person who likes Amethysts and the person who likes Rubies in that order.\nClue 77: The drums player is not the person who reads spiritual books.\nClue 78: The person who lives in the blue house is somewhere to the left of Jackson.\nClue 79: The person who likes noodles is somewhere in between the person who likes stamp collecting and the person who likes quilting in that order.\nClue 80: The person who likes tacos is somewhere in between the person who likes pasta and the singer in that order.\nClue 81: The tennis player is next to the badminton player.\nClue 82: The person who reads fantasy books is not the person who likes carnations.\nClue 83: The person who likes marigolds is at one of the ends.\nClue 84: The person who supports the Detroit Lions is at one of the ends.\nClue 85: The person who smokes Camel is somewhere to the left of the person who likes Pearls.\nClue 86: The person who likes roses is the person who likes snorkeling.\nClue 87: The cricket player is not the person who likes Gypsum.\nClue 88: The German is at one of the ends.\nClue 89: The chef is immediately to the left of the person who drinks tea.\nClue 90: The person who likes juggling is immediately to the left of Karan.\nClue 91: The person who likes skiing is the person who eats bananas.\nClue 92: The person who lives in the blue house is the person who likes whales.\nClue 93: The person who reads magical realism books is somewhere to the left of the person who smokes Marlboro.\nClue 94: The person who smokes Winston is somewhere in between the Australian and the person who supports the Detroit Lions in that order.\nClue 95: The person who likes swimming is not the person who likes Diamonds.\nClue 96: The person who owns a Michael Kors is next to the flute player.\nClue 97: The person who likes Pearls is not the German.\nClue 98: The person who eats pears is immediately to the left of the piano player.\nClue 99: The badminton player is the person who eats kiwis.\nClue 100: The person who supports the Los Angeles Rams is somewhere in between the squash player and the person who supports the Kansas City Chiefs in that order.\nClue 101: The person who reads mystery books is the cricket player.\nClue 102: The person who drinks tea is next to the person who likes stamp collecting.\nClue 103: Tao is the artist.\nClue 104: The person who likes swimming is the basketball player.\nClue 105: The badminton player is not the person who smokes Davidoff.\nClue 106: The person who likes language learning is somewhere in between the person who likes starfish and the person who lives in the brown house in that order.\nClue 107: Michael is at one of the ends.\nClue 108: The person who likes dahlias is immediately to the left of the ice hockey player.\nClue 109: The person who eats raspberries is next to the person who reads magical realism books.\nClue 110: The person who likes dahlias is the person who likes running.\nClue 111: The person who drinks coffee is immediately to the left of Jones.\nClue 112: The person who likes Rubies is at one of the ends.\nClue 113: The person who likes pasta is somewhere in between the person who likes noodles and the person who likes cheese making in that order.\nClue 114: The person who smokes Winston is immediately to the left of the person who likes swimming.\nClue 115: The person who drinks coffee is the designer.\nClue 116: The person who likes curry is the person who likes whales.\nClue 117: The person who likes whales is immediately to the left of the dancer.\nClue 118: The Indian is the person who likes snorkeling.\nClue 119: The person who likes language learning is immediately to the left of the person who drinks water.\nClue 120: The person who reads magical realism books is not the person who supports the Detroit Lions.\nClue 121: The Australian is somewhere to the left of the German.\nClue 122: The person who likes running is the squash player.\nClue 123: The person who likes swimming is the person who reads short story books.\nClue 124: The person who owns a Gucci is next to the person who likes snorkeling.\nClue 125: Tao is somewhere to the left of the person at the 4th position.\nClue 126: The person who likes cheese making is the doctor.\nClue 127: The saxophone player is at one of the ends.\nClue 128: The person who likes base jumping is somewhere in between the person who likes paragliding and the German in that order.\nClue 129: The person who eats blueberries is the person who likes carnations.\nClue 130: The person who likes Gypsum is the person who likes running.\nClue 131: The person who likes Diamonds is next to the person who eats kiwis.\nClue 132: The guitar player is at one of the ends.\nClue 133: The chef is immediately to the left of the person who likes canoeing.\nClue 134: The cricket player is somewhere in between the person who owns a Gucci and the person who smokes Pall Mall in that order.\nClue 135: The Spanish is somewhere in between the person who likes skiing and the person who eats oranges in that order.\nClue 136: The person who eats raspberries is next to the ice hockey player.\nClue 137: The guitar player is not the person who reads fantasy books.\nClue 138: The person who likes oscars is Jackson.\n\nQuestion: What position is the person who drinks water at?",
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    "dataset": "bbeh",
    "family": "b11837066cddd877a09c23b9ca865fd93c3fd298eee71204f5df6728218cd0a3",
    "id": "bbeh:zebra_puzzles:011",
    "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone has a different profession: architect, designer, teacher, doctor, artist, athlete.\nEveryone likes a different food: noodles, soups, burgers, pasta, pizza, sandwiches.\nEveryone supports a different NBA team: Hawks, Knicks, Celtics, Cavaliers, Bulls, Bucks.\nEveryone has a different favorite soft drink: Powerade, 7up, Sprite, Fanta, Limca, Coke.\nEveryone reads a different genre of books: magical realism, mystery, short story, romance, humor, spiritual.\nEveryone lives in a different colored house: beige, magenta, yellow, orange, brown, gold.\nEveryone likes a different favorite animal: kiwis, dugongs, monkeys, leopards, baboons, whales.\nEveryone likes a different type of gemstone: Dolomites, Sapphires, Rubies, Topaz, Corals, Obsidians.\nEveryone likes a different type of flower: dahlias, orchids, lilies, begonias, peonies, roses.\nEveryone drives a different car: Mercedes, BMW, Ferrari, Kia, Lexus, Audi.\nEveryone supports a different NFL team: Tennessee Titans, Buffalo Bills, Kansas City Chiefs, Dallas Cowboys, Los Angeles Rams, San Francisco 49ers.\nEveryone drives a different motorbike: Kawasaki, Piaggio, Yamaha, Suzuki, Bajaj, Harley-Davidson.\nEveryone has a different favorite hobby: origami, painting, welding, video games, baking, astronomy.\nEveryone is a different nationality: Chilean, Dane, Irish, Hungarian, Bangladeshi, Turkish.\nEveryone has a different name: Margaret, Noah, Alex, Tao, Jackson, Siva.\nEveryone owns a different handbag brand: Dolce and Gabbana, Coach, Versace, Kate Spade, Balenciaga, Tumi.\nEveryone likes a different fruit: blackberries, kiwis, oranges, grapes, blueberries, raspberries.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who reads mystery books is not the person who drives the Kawasaki.\nClue 2: The person who eats raspberries is somewhere to the left of the teacher.\nClue 3: The person who likes Obsidians is not the Turkish.\nClue 4: The person who lives in the beige house is immediately to the left of the person who likes astronomy.\nClue 5: The person who owns a Kate Spade is not the person who drives the Piaggio.\nClue 6: The person who likes Limca is at one of the ends.\nClue 7: The person who likes lilies is the person who likes leopards.\nClue 8: The person who eats grapes is next to Siva.\nClue 9: The person who eats raspberries is next to the person who likes Sprite.\nClue 10: The person who likes begonias is the person who owns a Coach.\nClue 11: The Hungarian is the person who likes kiwis.\nClue 12: The person who reads mystery books is the person who drives the Bajaj.\nClue 13: The person who reads spiritual books is somewhere in between the person who owns a Versace and the person who likes kiwis in that order.\nClue 14: The person who supports the Knicks is not the person who likes burgers.\nClue 15: The person who lives in the brown house is the person who likes Powerade.\nClue 16: The person who likes peonies is immediately to the left of the person who likes kiwis.\nClue 17: The person who likes pizza is immediately to the left of the person who likes Topaz.\nClue 18: The person who likes painting is somewhere to the left of the person who eats oranges.\nClue 19: The person who likes peonies is somewhere in between the person who likes pasta and the Hungarian in that order.\nClue 20: The person who likes peonies is the person who likes dugongs.\nClue 21: The person at the 2nd position is the person who likes video games.\nClue 22: The person who reads mystery books is immediately to the left of the person who drives the Harley-Davidson.\nClue 23: The person who owns a Versace is at one of the ends.\nClue 24: The person who drives the Kawasaki is immediately to the left of the person who drives the Suzuki.\nClue 25: The person who likes Sapphires is at one of the ends.\nClue 26: The person who drives the BMW is not the person who likes peonies.\nClue 27: The person who drives the Kia is the Irish.\nClue 28: The person who supports the Bucks is at one of the ends.\nClue 29: The architect is the person who likes Coke.\nClue 30: The person who lives in the beige house is next to the person who eats kiwis.\nClue 31: The person who reads spiritual books is the person who likes Obsidians.\nClue 32: The person who drives the Ferrari is not the person who supports the Hawks.\nClue 33: The person who likes lilies is the person who supports the Bucks.\nClue 34: The athlete is immediately to the left of the designer.\nClue 35: The person who drives the Ferrari is not the Bangladeshi.\nClue 36: The person who likes dahlias is at one of the ends.\nClue 37: The person who likes burgers is somewhere in between the Turkish and the person who supports the Cavaliers in that order.\nClue 38: The Bangladeshi is not the person who likes orchids.\nClue 39: The person who likes origami is somewhere in between Siva and the person who eats raspberries in that order.\nClue 40: The person who likes kiwis is immediately to the left of the person who owns a Kate Spade.\nClue 41: The person who drives the Piaggio is at one of the ends.\nClue 42: The Dane is the person who drives the Ferrari.\nClue 43: The Irish is somewhere to the left of the person who likes burgers.\nClue 44: The person who supports the Celtics is the person who likes Dolomites.\nClue 45: The person who likes burgers is somewhere to the left of the person who supports the Cavaliers.\nClue 46: The person who likes soups is next to the person who supports the Tennessee Titans.\nClue 47: The person who supports the Los Angeles Rams is the person who owns a Coach.\nClue 48: The person who likes burgers is immediately to the left of the person who reads humor books.\nClue 49: The person who drives the Kawasaki is at one of the ends.\nClue 50: The person who eats blueberries is the doctor.\nClue 51: The person who eats blueberries is Alex.\nClue 52: The person who supports the Kansas City Chiefs is at one of the ends.\nClue 53: The person who likes sandwiches is somewhere to the left of the person who owns a Balenciaga.\nClue 54: The person who likes Topaz is the Hungarian.\nClue 55: Noah is the person who likes baking.\nClue 56: The person who likes orchids is immediately to the left of the person who reads short story books.\nClue 57: The Hungarian is not the person who likes pizza.\nClue 58: The artist is next to the person who likes painting.\nClue 59: The person who likes Dolomites is somewhere in between the Irish and the person who owns a Balenciaga in that order.\nClue 60: The person who likes baboons is next to the person who supports the Buffalo Bills.\nClue 61: The person who likes roses is immediately to the left of the person who likes dahlias.\nClue 62: The person who likes dahlias is not the Turkish.\nClue 63: The person who likes begonias is the person who drives the Yamaha.\nClue 64: The person who likes sandwiches is immediately to the left of the person who drives the Audi.\nClue 65: The person who supports the Bulls is somewhere in between the person who likes pasta and the person who likes orchids in that order.\nClue 66: The person who likes origami is immediately to the left of the person who lives in the yellow house.\nClue 67: The person who supports the Celtics is somewhere in between the person who likes sandwiches and the person who drives the Piaggio in that order.\nClue 68: The person who drives the Bajaj is the person who drives the Audi.\nClue 69: The person who supports the Buffalo Bills is somewhere in between the person who drives the Suzuki and the person who supports the Cavaliers in that order.\nClue 70: Siva is immediately to the left of the person at the 3rd position.\nClue 71: The person who owns a Tumi is next to the person who drives the Audi.\nClue 72: The person who likes Rubies is the person who supports the Bucks.\nClue 73: The person who lives in the brown house is next to the person who likes painting.\nClue 74: The person who likes Topaz is somewhere in between the person who supports the San Francisco 49ers and the person who supports the Knicks in that order.\nClue 75: The person who drives the Piaggio is at one of the ends.\nClue 76: The person who likes Dolomites is the person who supports the Tennessee Titans.\nClue 77: The Hungarian is not the person who likes Corals.\nClue 78: The person who likes Obsidians is the person who drives the Lexus.\nClue 79: The person who supports the Bulls is not the Dane.\nClue 80: The person who lives in the gold house is next to Noah.\nClue 81: The person who likes sandwiches is immediately to the left of the person who drives the Bajaj.\nClue 82: The person who likes dahlias is next to the person who reads short story books.\nClue 83: The person who likes Obsidians is the person who owns a Dolce and Gabbana.\nClue 84: The Bangladeshi is not the person who reads mystery books.\nClue 85: The person who drives the Kawasaki is the person who likes lilies.\nClue 86: The person who owns a Tumi is the person who likes burgers.\nClue 87: The person who likes Topaz is somewhere in between the person who drives the Kawasaki and the person who supports the Buffalo Bills in that order.\nClue 88: The person who likes painting is immediately to the left of Margaret.\nClue 89: The person who likes soups is not the person who supports the Los Angeles Rams.\nClue 90: The person who drives the Harley-Davidson is somewhere to the left of the person who owns a Balenciaga.\nClue 91: The person who lives in the brown house is the person at the 6th position.\nClue 92: The person who likes baboons is somewhere to the left of the person who reads humor books.\nClue 93: The person who drives the BMW is somewhere to the left of the person who likes baboons.\nClue 94: The person who likes begonias is somewhere to the left of the person who likes monkeys.\nClue 95: The person who likes kiwis is immediately to the left of the person who drives the Audi.\nClue 96: The person who lives in the orange house is the person who likes 7up.\nClue 97: The person who likes baboons is the person who likes burgers.\nClue 98: The person who likes dahlias is next to the person who reads short story books.\nClue 99: The person who likes noodles is somewhere to the left of the Chilean.\nClue 100: The person at the 5th position is immediately to the left of the person who likes astronomy.\nClue 101: The person who likes dahlias is next to the person who likes baboons.\nClue 102: The artist is Noah.\nClue 103: The person who supports the Celtics is somewhere in between the person who likes Topaz and the person who owns a Balenciaga in that order.\nClue 104: The person who likes pizza is the person who drives the Lexus.\nClue 105: The person who likes lilies is not the Bangladeshi.\nClue 106: The person who owns a Tumi is not the person who drives the Bajaj.\nClue 107: The person who likes Obsidians is not the person who drives the BMW.\nClue 108: The person who supports the San Francisco 49ers is not the person who owns a Balenciaga.\nClue 109: The person who owns a Dolce and Gabbana is somewhere in between the person who likes pasta and the person who drives the Harley-Davidson in that order.\nClue 110: The person who owns a Coach is somewhere in between the person who likes Obsidians and the person who drives the Bajaj in that order.\nClue 111: The person who drives the Audi is next to the person who likes kiwis.\nClue 112: The person who likes baboons is somewhere to the left of the person who likes soups.\nClue 113: The person who likes peonies is next to the person who reads romance books.\nClue 114: The person who drives the Audi is immediately to the left of the person who owns a Tumi.\nClue 115: The person who likes burgers is immediately to the left of the person who supports the Cavaliers.\nClue 116: The person who likes pasta is at one of the ends.\nClue 117: The person who likes orchids is the person who likes monkeys.\nClue 118: The Hungarian is somewhere in between the person who drives the Kawasaki and the person who supports the Cavaliers in that order.\nClue 119: The architect is immediately to the left of the person who lives in the brown house.\nClue 120: The person who drives the Harley-Davidson is somewhere in between the person who supports the Buffalo Bills and the person who owns a Balenciaga in that order.\nClue 121: The person who supports the Knicks is immediately to the left of the person who likes baboons.\nClue 122: The person who likes Dolomites is immediately to the left of the person who supports the Cavaliers.\nClue 123: The person who likes soups is at one of the ends.\nClue 124: Jackson is the person who eats raspberries.\nClue 125: The person who eats blueberries is the person at the 3rd position.\nClue 126: The person who drives the Kia is next to the person who reads spiritual books.\nClue 127: The person who likes Rubies is not the person who supports the Hawks.\nClue 128: The person who reads spiritual books is somewhere to the left of the person who likes whales.\n\nQuestion: What position is the athlete at?",
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    "id": "bbeh:zebra_puzzles:015",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone is a different nationality: Serbian, Chinese, American, Swiss, Iranian, Malaysian, Hungarian.\nEveryone drives a different car: Lexus, Hyundai, Ferrari, Toyota, McLaren, BMW, Tesla.\nEveryone likes a different favorite animal: tilapia, walruses, monkeys, bees, woodpeckers, mosquitoes, otters.\nEveryone likes a different physical activity: bungee jumping, skiing, paragliding, biking, base jumping, snorkeling, weight lifting.\nEveryone has a different name: Randy, Nour, Siva, Wang, Ahmed, Jones, Maven.\nEveryone likes a different fruit: kiwis, grapes, bananas, pears, mangoes, oranges, strawberries.\nEveryone likes a different food: soups, tacos, burgers, noodles, pizza, curry, kebabs.\nEveryone has a different favorite hobby: pottery, dancing, video games, juggling, language learning, kite flying, mixology.\nEveryone has a different profession: singer, actor, chef, designer, dancer, artist, architect.\nEveryone lives in a different colored house: teal, cyan, grey, violet, black, silver, orange.\nEveryone supports a different NFL team: Chicago Bears, Seattle Seahawks, Los Angeles Rams, Cincinnati Bengals, Atlanta Falcons, Pittsburgh Steelers, San Francisco 49ers.\nEveryone drinks a different drink: iced coffee, milk, water, iced tea, orange juice, tea, beer.\nEveryone plays a different sport: ice hockey, table tennis, volleyball, basketball, tennis, cricket, badminton.\nEveryone reads a different genre of books: mystery, science fiction, spiritual, short story, humor, romance, history.\nEveryone supports a different NBA team: Mavericks, Suns, Warriors, Cavaliers, Hawks, Bulls, Knicks.\nEveryone smokes a different cigarette: Newport, Davidoff, Camel, Pall Mall, Marlboro, Blue Master, Dunhill.\nEveryone likes a different type of flower: dahlias, begonias, lilies, tulips, daisies, daffodils, roses.\nEveryone has a different favorite soft drink: Limca, Mountain Dew, Fanta, Coke, Gatorade, Sprite, Powerade.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The Iranian is the person who likes curry.\nClue 2: The person who reads spiritual books is somewhere in between the Malaysian and the Swiss in that order.\nClue 3: The person who supports the Chicago Bears is the person who lives in the violet house.\nClue 4: The person who likes curry is somewhere to the left of the person who likes Fanta.\nClue 5: The person who likes juggling is the person who likes Sprite.\nClue 6: The Serbian is the person who likes dahlias.\nClue 7: The person who lives in the black house is not the person who likes Fanta.\nClue 8: The designer is somewhere in between the person who supports the Bulls and the person who smokes Newport in that order.\nClue 9: The badminton player is immediately to the left of the person who drives the Ferrari.\nClue 10: The person who drinks iced tea is next to the person who reads romance books.\nClue 11: The person who likes lilies is at one of the ends.\nClue 12: The Hungarian is next to the person who likes Mountain Dew.\nClue 13: The person who eats kiwis is at one of the ends.\nClue 14: The person who likes daisies is somewhere in between the person who eats bananas and the person who drinks orange juice in that order.\nClue 15: The person who reads science fiction books is at one of the ends.\nClue 16: The person who eats mangoes is somewhere in between the person who eats pears and the Hungarian in that order.\nClue 17: The chef is next to the table tennis player.\nClue 18: The person who drinks beer is not the person who likes Gatorade.\nClue 19: The person at the 3rd position is somewhere to the left of the table tennis player.\nClue 20: The person who smokes Newport is at one of the ends.\nClue 21: The person who likes bungee jumping is somewhere in between the person who supports the San Francisco 49ers and the person who drinks orange juice in that order.\nClue 22: The person who likes Powerade is somewhere to the left of the person who lives in the black house.\nClue 23: The person who supports the Cavaliers is at one of the ends.\nClue 24: The person who smokes Blue Master is Nour.\nClue 25: The person who likes weight lifting is next to the person who likes Limca.\nClue 26: The person who drives the McLaren is the person who smokes Newport.\nClue 27: The person who supports the Atlanta Falcons is at one of the ends.\nClue 28: The person who likes roses is immediately to the left of the Hungarian.\nClue 29: The person who lives in the black house is next to the person who likes Fanta.\nClue 30: The person who drinks orange juice is at one of the ends.\nClue 31: The person who likes tulips is at one of the ends.\nClue 32: The Chinese is immediately to the left of the person who likes language learning.\nClue 33: The person who likes tilapia is the person at the 5th position.\nClue 34: The person who likes dancing is somewhere to the left of the person who reads romance books.\nClue 35: The person who reads romance books is somewhere in between the American and the Hungarian in that order.\nClue 36: The person who likes noodles is somewhere to the left of the person who drinks tea.\nClue 37: The person who likes otters is somewhere in between the person at the 3rd position and the person who drives the McLaren in that order.\nClue 38: The person who likes otters is somewhere in between the person who supports the Bulls and Nour in that order.\nClue 39: The person who likes biking is immediately to the left of the person who supports the Chicago Bears.\nClue 40: The person who eats kiwis is not the person who lives in the grey house.\nClue 41: The person who drives the BMW is immediately to the left of the person who drives the Ferrari.\nClue 42: Maven is the tennis player.\nClue 43: The cricket player is somewhere in between the table tennis player and Siva in that order.\nClue 44: The person who supports the Suns is immediately to the left of the person who likes tilapia.\nClue 45: Ahmed is at one of the ends.\nClue 46: The person who eats mangoes is next to the person who likes paragliding.\nClue 47: The person who supports the Chicago Bears is next to the person who likes base jumping.\nClue 48: The person who supports the Hawks is the person who smokes Blue Master.\nClue 49: The person who eats mangoes is the person who likes noodles.\nClue 50: The person who reads mystery books is somewhere to the left of the person who reads history books.\nClue 51: The person who eats strawberries is at one of the ends.\nClue 52: The person who likes kebabs is next to the person who likes mixology.\nClue 53: The basketball player is immediately to the left of the person who supports the Mavericks.\nClue 54: The Hungarian is not the person who lives in the grey house.\nClue 55: The person who likes walruses is the actor.\nClue 56: The person who likes mixology is somewhere to the left of the person who likes juggling.\nClue 57: The person who eats strawberries is at one of the ends.\nClue 58: The Swiss is at one of the ends.\nClue 59: The person who smokes Camel is at one of the ends.\nClue 60: The person who supports the Chicago Bears is the person who likes Powerade.\nClue 61: The person who lives in the silver house is not the person who eats pears.\nClue 62: The singer is somewhere to the left of the tennis player.\nClue 63: The person who likes pottery is not the person who likes daffodils.\nClue 64: The chef is the person who likes bees.\nClue 65: The person who drives the Lexus is next to the architect.\nClue 66: The person who lives in the cyan house is at one of the ends.\nClue 67: Nour is immediately to the left of the singer.\nClue 68: The person who lives in the silver house is at one of the ends.\nClue 69: The person who likes base jumping is not the person who reads romance books.\nClue 70: The person who lives in the silver house is not the person who likes noodles.\nClue 71: Ahmed is somewhere to the left of the singer.\nClue 72: Nour is immediately to the left of the person who supports the Warriors.\nClue 73: The person who likes Limca is not the person who lives in the black house.\nClue 74: The person who drinks iced tea is not the person who eats bananas.\nClue 75: The person who likes Powerade is the person who supports the Chicago Bears.\nClue 76: The person who likes mixology is somewhere in between the Malaysian and the person who supports the Seattle Seahawks in that order.\nClue 77: The person who drives the McLaren is the person who likes mosquitoes.\nClue 78: The person who reads science fiction books is not the Chinese.\nClue 79: The Chinese is the person who reads mystery books.\nClue 80: The person who supports the Warriors is the person who likes monkeys.\nClue 81: The person who reads humor books is not the person who lives in the orange house.\nClue 82: The person who likes pizza is next to the Chinese.\nClue 83: The person who eats mangoes is not the person who likes biking.\nClue 84: The person who likes Powerade is not the Iranian.\nClue 85: Nour is immediately to the left of the person who drives the Tesla.\nClue 86: The person who likes dancing is immediately to the left of the person who likes weight lifting.\nClue 87: The person who eats grapes is immediately to the left of the person who likes kebabs.\nClue 88: Jones is next to the person who smokes Dunhill.\nClue 89: The Chinese is next to the person who likes pizza.\nClue 90: The person who likes kite flying is not the person who drinks orange juice.\nClue 91: The person who drinks water is not the person who likes noodles.\nClue 92: The person who likes video games is somewhere to the left of the person who drinks tea.\nClue 93: The person who likes otters is the person who drives the Hyundai.\nClue 94: The person who lives in the teal house is somewhere to the left of the person who lives in the silver house.\nClue 95: The actor is the person who smokes Dunhill.\nClue 96: The person who likes base jumping is not the person who eats oranges.\nClue 97: The person who drives the Toyota is immediately to the left of the badminton player.\nClue 98: The person who eats pears is immediately to the left of the person who likes dahlias.\nClue 99: The person who eats pears is immediately to the left of the person who likes dahlias.\nClue 100: The person who drinks tea is somewhere in between the person who eats bananas and the person who lives in the silver house in that order.\nClue 101: The person who eats mangoes is somewhere to the left of the person who likes weight lifting.\nClue 102: The person who reads science fiction books is at one of the ends.\nClue 103: The person who likes Gatorade is somewhere to the left of the person who eats strawberries.\nClue 104: The person who drives the Toyota is the dancer.\nClue 105: The person who lives in the silver house is at one of the ends.\nClue 106: The Iranian is next to the person who lives in the grey house.\nClue 107: The artist is the person who smokes Newport.\nClue 108: The person who likes burgers is not the person who lives in the teal house.\nClue 109: The person who lives in the silver house is at one of the ends.\nClue 110: The person who eats grapes is immediately to the left of the person who reads romance books.\nClue 111: The dancer is at one of the ends.\nClue 112: The person who likes noodles is somewhere to the left of the person who reads science fiction books.\nClue 113: The person who likes biking is not the person who likes dahlias.\nClue 114: The person who reads short story books is immediately to the left of the Malaysian.\nClue 115: The person who likes Gatorade is somewhere in between the person who supports the Chicago Bears and the person who likes pottery in that order.\nClue 116: The person who reads humor books is the person who likes paragliding.\nClue 117: The person who likes pottery is the person who reads romance books.\nClue 118: The person who drinks iced coffee is the person who lives in the black house.\nClue 119: The person at the 1st position is the ice hockey player.\nClue 120: The person who reads science fiction books is not the person who likes biking.\nClue 121: The person who likes Limca is not the person who eats bananas.\nClue 122: The person who likes bungee jumping is the person who eats oranges.\nClue 123: The person who supports the Bulls is the chef.\nClue 124: The American is immediately to the left of the person who likes dahlias.\nClue 125: The person who likes daffodils is not the person who likes Fanta.\nClue 126: The person who likes burgers is at one of the ends.\nClue 127: Wang is somewhere in between the person who smokes Pall Mall and the cricket player in that order.\nClue 128: The person who likes dancing is next to the person who likes pottery.\nClue 129: The person who lives in the violet house is somewhere in between the person who likes video games and the person who likes noodles in that order.\nClue 130: The person who smokes Blue Master is immediately to the left of the person who smokes Marlboro.\nClue 131: The person who eats pears is not the person who likes dahlias.\nClue 132: The person who drinks water is the person who likes pizza.\nClue 133: The person who drinks tea is immediately to the left of the person who likes juggling.\nClue 134: The person who likes kite flying is somewhere in between the person who drinks water and the person who supports the San Francisco 49ers in that order.\nClue 135: The person who likes weight lifting is next to the person who lives in the orange house.\nClue 136: The person who eats bananas is somewhere in between the person who likes dahlias and the Hungarian in that order.\nClue 137: The person who likes Powerade is the person who likes pizza.\nClue 138: The person who likes roses is somewhere in between the Iranian and the person who eats strawberries in that order.\nClue 139: The person who likes curry is somewhere to the left of the Malaysian.\nClue 140: The person who likes daisies is the person who eats oranges.\n\nQuestion: What position is the person who likes monkeys at?",
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    "id": "bbeh:zebra_puzzles:021",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NFL team: Denver Broncos, Detroit Lions, Seattle Seahawks, Arizona Cardinals, New England Patriots, Pittsburgh Steelers, Buffalo Bills.\nEveryone likes a different fruit: raspberries, strawberries, grapes, blueberries, mangoes, apples, pears.\nEveryone likes a different type of gemstone: Aquamarines, Ambers, Sapphires, Moonstones, Dolomites, Pearls, Corals.\nEveryone drinks a different drink: milk, lemonade, beer, iced tea, hot chocolate, coffee, water.\nEveryone drives a different motorbike: Yamaha, Kawasaki, Honda, Suzuki, Piaggio, Benelli, Bajaj.\nEveryone has a different profession: programmer, singer, actor, dancer, doctor, teacher, writer.\nEveryone owns a different handbag brand: Versace, Polo Ralph Lauren, Balenciaga, Michael Kors, Kate Spade, Coach, Tumi.\nEveryone has a different name: Rajiv, Trinity, Rafael, Charlie, Mohsen, Mohan, Maven.\nEveryone has a different favorite soft drink: Coke, Powerade, Mountain Dew, Canada Dry, Gatorade, Dr Pepper, Sprite.\nEveryone lives in a different colored house: red, white, purple, turquoise, violet, cyan, yellow.\nEveryone smokes a different cigarette: Dunhill, Blends, Camel, Newport, Winston, Marlboro, Davidoff.\nEveryone plays a different sport: baseball, soccer, ice hockey, cricket, basketball, squash, table tennis.\nEveryone has a different favorite hobby: drone flying, fishing, stamp collecting, wine making, horse riding, sailing, bird watching.\nEveryone reads a different genre of books: humor, spiritual, science fiction, history, fantasy, romance, short story.\nEveryone supports a different NBA team: Warriors, Lakers, Bucks, Suns, Knicks, Bulls, Mavericks.\nEveryone likes a different favorite animal: seahorses, spiders, leopards, cheetahs, cats, doves, crabs.\nEveryone likes a different physical activity: running, scuba diving, hiking, biking, swimming, bungee jumping, snorkeling.\nEveryone is a different nationality: Irish, Swiss, Korean, Australian, Turkish, Italian, Croatian.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The Australian is the programmer.\nClue 2: The person who likes sailing is at one of the ends.\nClue 3: The person who smokes Winston is at one of the ends.\nClue 4: The person who drinks beer is at one of the ends.\nClue 5: The person who supports the Warriors is immediately to the left of the person who reads spiritual books.\nClue 6: The person who owns a Michael Kors is somewhere in between the person who smokes Camel and the person who owns a Tumi in that order.\nClue 7: The person who likes Corals is not the person who supports the Pittsburgh Steelers.\nClue 8: Rafael is immediately to the left of the person who reads fantasy books.\nClue 9: The person who reads science fiction books is not the person who drinks lemonade.\nClue 10: The person who likes Ambers is somewhere in between the person who likes bungee jumping and the person who likes sailing in that order.\nClue 11: The person who likes Sprite is the person who reads science fiction books.\nClue 12: The Swiss is immediately to the left of the person who smokes Marlboro.\nClue 13: The person who likes biking is not the person who likes sailing.\nClue 14: The person who likes snorkeling is the person who likes drone flying.\nClue 15: The person who supports the New England Patriots is next to the person who likes Ambers.\nClue 16: The person who drinks lemonade is next to the person who likes swimming.\nClue 17: The Italian is somewhere in between the person who drives the Piaggio and the programmer in that order.\nClue 18: The cricket player is somewhere in between the ice hockey player and Charlie in that order.\nClue 19: The person who smokes Winston is somewhere to the left of the actor.\nClue 20: The person who supports the New England Patriots is at one of the ends.\nClue 21: The person who likes fishing is Mohan.\nClue 22: The person who smokes Blends is somewhere to the left of the person who eats pears.\nClue 23: The person who likes Moonstones is immediately to the left of the person who likes fishing.\nClue 24: The person who owns a Coach is the person who drives the Kawasaki.\nClue 25: The person who likes Pearls is next to the person who likes Mountain Dew.\nClue 26: The person who likes stamp collecting is immediately to the left of the cricket player.\nClue 27: The person who eats apples is next to the Australian.\nClue 28: The person who likes doves is immediately to the left of the table tennis player.\nClue 29: The person who drinks milk is not the person who supports the Bulls.\nClue 30: Mohsen is not the person who likes Moonstones.\nClue 31: The person who likes drone flying is somewhere in between Mohan and the person who likes Coke in that order.\nClue 32: The person who drives the Kawasaki is next to the person who drives the Piaggio.\nClue 33: The ice hockey player is not the person who likes biking.\nClue 34: The cricket player is next to the person who likes scuba diving.\nClue 35: The person who supports the Warriors is immediately to the left of the person who likes Pearls.\nClue 36: The person who supports the Lakers is somewhere in between the person who reads spiritual books and the person who drinks beer in that order.\nClue 37: The person who likes Corals is the person who reads science fiction books.\nClue 38: The person who lives in the cyan house is next to the person who eats strawberries.\nClue 39: The person who reads romance books is not the person who likes Mountain Dew.\nClue 40: The person who owns a Balenciaga is at one of the ends.\nClue 41: The person who drives the Suzuki is at one of the ends.\nClue 42: The Croatian is next to the writer.\nClue 43: The writer is next to the person who eats strawberries.\nClue 44: The person who likes Mountain Dew is not the person who likes scuba diving.\nClue 45: The person who supports the Bucks is somewhere in between the person who reads spiritual books and the person who reads humor books in that order.\nClue 46: The person who reads fantasy books is the person who likes bungee jumping.\nClue 47: The person who lives in the purple house is next to the person who eats apples.\nClue 48: The person who supports the Warriors is immediately to the left of the person who likes drone flying.\nClue 49: Charlie is next to the person who drinks hot chocolate.\nClue 50: The person who drinks hot chocolate is not the person who likes Sprite.\nClue 51: The person who smokes Camel is somewhere in between the person who owns a Coach and the Australian in that order.\nClue 52: The person who likes Powerade is not the person who supports the Denver Broncos.\nClue 53: The person who drinks iced tea is the person who likes Dr Pepper.\nClue 54: The person who likes scuba diving is somewhere to the left of the person who drinks beer.\nClue 55: The person who reads history books is not the soccer player.\nClue 56: Rafael is somewhere in between the person who likes bird watching and the person who drinks milk in that order.\nClue 57: The dancer is the person who eats strawberries.\nClue 58: The person who drinks lemonade is next to the person who drinks water.\nClue 59: Charlie is immediately to the left of the person who reads history books.\nClue 60: The person who likes Dolomites is the basketball player.\nClue 61: The person who likes cheetahs is somewhere to the left of the person who supports the Suns.\nClue 62: The person who likes fishing is the person who drinks water.\nClue 63: The person who lives in the violet house is at one of the ends.\nClue 64: The person who likes Ambers is immediately to the left of the person who likes seahorses.\nClue 65: The person who supports the Buffalo Bills is the person who reads science fiction books.\nClue 66: The person who drinks coffee is the person who likes bird watching.\nClue 67: The person who likes bird watching is somewhere to the left of the person who supports the Suns.\nClue 68: The person who drinks hot chocolate is next to Rajiv.\nClue 69: Mohsen is somewhere in between the person who likes snorkeling and the squash player in that order.\nClue 70: The person who supports the Suns is at one of the ends.\nClue 71: The singer is the person who lives in the yellow house.\nClue 72: The Swiss is at one of the ends.\nClue 73: The person who likes seahorses is at one of the ends.\nClue 74: The person who likes Dr Pepper is somewhere in between the person who reads short story books and the person who likes Dolomites in that order.\nClue 75: The person who likes spiders is the person who likes Dolomites.\nClue 76: The person who likes drone flying is next to the person who likes Sapphires.\nClue 77: The person who likes leopards is the person who reads romance books.\nClue 78: The person who eats apples is immediately to the left of the person who owns a Michael Kors.\nClue 79: The person who drives the Piaggio is the person who eats mangoes.\nClue 80: The person who eats blueberries is the person who lives in the white house.\nClue 81: The teacher is the person at the 2nd position.\nClue 82: The person who likes Sapphires is not the person who likes fishing.\nClue 83: The person who likes bungee jumping is not the person who likes Sprite.\nClue 84: The person who likes spiders is the basketball player.\nClue 85: The person who likes crabs is not the squash player.\nClue 86: The Turkish is at one of the ends.\nClue 87: The person who supports the Bucks is somewhere in between the person who likes Dolomites and the person who reads humor books in that order.\nClue 88: The soccer player is not the person who likes spiders.\nClue 89: The person who likes Aquamarines is the person who reads humor books.\nClue 90: The person who likes Gatorade is not the person who likes spiders.\nClue 91: The person who eats apples is somewhere to the left of the person who lives in the turquoise house.\nClue 92: The person who owns a Versace is next to the person who owns a Michael Kors.\nClue 93: Charlie is next to Mohsen.\nClue 94: The person who eats grapes is at one of the ends.\nClue 95: The person who supports the Arizona Cardinals is somewhere in between the person who likes Sapphires and Mohsen in that order.\nClue 96: The squash player is at one of the ends.\nClue 97: The person who lives in the white house is immediately to the left of the person at the 3rd position.\nClue 98: The person who supports the Detroit Lions is somewhere in between the person who likes swimming and the person who drinks iced tea in that order.\nClue 99: The table tennis player is somewhere in between the person who likes Mountain Dew and the person who likes seahorses in that order.\nClue 100: The person who likes stamp collecting is somewhere to the left of the baseball player.\nClue 101: The person who lives in the violet house is next to the Croatian.\nClue 102: The person who likes snorkeling is somewhere to the left of the person who likes Coke.\nClue 103: The person who lives in the white house is next to the Korean.\nClue 104: The person who drives the Suzuki is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 105: The person who smokes Winston is somewhere to the left of the person who smokes Blends.\nClue 106: The Italian is immediately to the left of the person who smokes Camel.\nClue 107: The person who lives in the cyan house is the person who smokes Camel.\nClue 108: The person at the 7th position is the singer.\nClue 109: The person who drives the Honda is not the Turkish.\nClue 110: The person who supports the Bucks is not the soccer player.\nClue 111: The person who reads fantasy books is somewhere in between the person who likes cats and the person who supports the Bucks in that order.\nClue 112: The person who likes Gatorade is not the person who likes snorkeling.\nClue 113: The person who likes Mountain Dew is immediately to the left of the person who likes Pearls.\nClue 114: The person who supports the Pittsburgh Steelers is immediately to the left of the person who likes Aquamarines.\nClue 115: Charlie is the person who supports the Arizona Cardinals.\nClue 116: Trinity is the soccer player.\nClue 117: The person who supports the New England Patriots is at one of the ends.\nClue 118: The person who reads short story books is somewhere to the left of Rafael.\nClue 119: The person who eats pears is the person who drives the Bajaj.\nClue 120: The person who likes fishing is next to the person who likes doves.\nClue 121: The person who likes cheetahs is next to the person who supports the Seattle Seahawks.\nClue 122: The person who likes Powerade is at one of the ends.\nClue 123: The person who likes hiking is the person who likes Gatorade.\nClue 124: The person who drives the Benelli is the Croatian.\nClue 125: The person who supports the Bulls is not the person who likes Aquamarines.\nClue 126: The person who smokes Newport is the person who drives the Piaggio.\nClue 127: The person who likes Gatorade is immediately to the left of the person who likes sailing.\nClue 128: The person who likes bungee jumping is immediately to the left of Mohsen.\nClue 129: The person who supports the Buffalo Bills is immediately to the left of the person who reads short story books.\nClue 130: The person who likes stamp collecting is the person who supports the Mavericks.\nClue 131: The dancer is somewhere to the left of the person who eats grapes.\nClue 132: The person who likes crabs is the person who reads history books.\nClue 133: The person who likes Powerade is not the person who likes Corals.\nClue 134: The person who smokes Dunhill is the Turkish.\nClue 135: The person who supports the Mavericks is at one of the ends.\nClue 136: Rajiv is at one of the ends.\nClue 137: The person who likes swimming is immediately to the left of the person who supports the Warriors.\nClue 138: The person who supports the Warriors is somewhere in between the person who supports the Knicks and the person who reads fantasy books in that order.\nClue 139: The person who likes hiking is somewhere in between the person who reads fantasy books and the person who reads humor books in that order.\nClue 140: Rafael is somewhere in between the cricket player and the person who supports the Bucks in that order.\nClue 141: The person who supports the Bulls is next to the person who reads fantasy books.\nClue 142: The person who supports the Pittsburgh Steelers is somewhere in between the person who likes spiders and the person who reads humor books in that order.\nClue 143: The soccer player is not the person who reads science fiction books.\n\nQuestion: What position is the teacher at?",
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    "dataset": "bbeh",
    "family": "c2d3db42bb1869f167785689c2b19a4cc4f234c0482b6a9ab6de533e773929f4",
    "id": "bbeh:zebra_puzzles:023",
    "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone owns a different handbag brand: Michael Kors, Versace, Coach, Gucci, Tumi, Dolce and Gabbana.\nEveryone plays a different musical instrument: violin, harp, harmonica, piano, guitar, flute.\nEveryone is a different nationality: Turkish, Serbian, Spanish, Russian, Pakistani, Mexican.\nEveryone supports a different NBA team: Mavericks, Suns, Celtics, Knicks, Warriors, Hawks.\nEveryone likes a different physical activity: base jumping, hiking, snorkeling, paragliding, weight lifting, biking.\nEveryone likes a different type of flower: daffodils, lilies, marigolds, daisies, tulips, peonies.\nEveryone supports a different NFL team: Denver Broncos, San Francisco 49ers, Green Bay Packers, Detroit Lions, Cincinnati Bengals, Tennessee Titans.\nEveryone has a different favorite soft drink: 7up, Mirinda, Gatorade, Canada Dry, Coke, Pepsi.\nEveryone likes a different fruit: mangoes, strawberries, blueberries, kiwis, oranges, bananas.\nEveryone drinks a different drink: water, iced tea, tea, coffee, iced coffee, beer.\nEveryone has a different name: Randy, Tao, Rajiv, Mandy, Bob, Wang.\nEveryone plays a different sport: baseball, table tennis, basketball, soccer, tennis, badminton.\nEveryone likes a different favorite animal: baboons, cougars, elephants, ravens, sea bass, mannikins.\nEveryone drives a different motorbike: Kawasaki, Suzuki, Ducati, Piaggio, Yamaha, Harley-Davidson.\nEveryone has a different favorite hobby: pottery, baking, video games, language learning, cooking, mixology.\nEveryone drives a different car: Audi, Hyundai, Honda, Toyota, BMW, Mercedes.\nEveryone likes a different type of gemstone: Aquamarines, Topaz, Pearls, Diamonds, Corals, Sapphires.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who eats kiwis is not the person who likes weight lifting.\nClue 2: The person who drives the Ducati is somewhere to the left of the person who drives the Mercedes.\nClue 3: The person who supports the Tennessee Titans is next to the person who likes Canada Dry.\nClue 4: The person who owns a Tumi is the flute player.\nClue 5: The person who drinks tea is immediately to the left of the Spanish.\nClue 6: The person who likes tulips is somewhere in between the tennis player and the person who likes elephants in that order.\nClue 7: The person who owns a Dolce and Gabbana is the person who likes mixology.\nClue 8: The harmonica player is not the person who eats blueberries.\nClue 9: The person who likes video games is at one of the ends.\nClue 10: Bob is the person who drinks water.\nClue 11: The person who likes baboons is the person who likes Gatorade.\nClue 12: The person who likes Diamonds is next to the person who likes biking.\nClue 13: The person who likes mannikins is immediately to the left of the badminton player.\nClue 14: The person who likes cougars is the baseball player.\nClue 15: The person who drives the BMW is somewhere to the left of the person who likes Topaz.\nClue 16: The person who supports the Tennessee Titans is immediately to the left of the person who likes elephants.\nClue 17: The Turkish is next to the person who likes Corals.\nClue 18: The person who drives the BMW is the Russian.\nClue 19: Rajiv is the person who likes Aquamarines.\nClue 20: The person who drinks coffee is not the person who drives the Toyota.\nClue 21: Tao is somewhere in between the person who likes Corals and the person who owns a Michael Kors in that order.\nClue 22: The person who likes paragliding is somewhere to the left of the Turkish.\nClue 23: The person who drinks iced tea is not the person who drives the Ducati.\nClue 24: The table tennis player is next to the person who supports the Knicks.\nClue 25: The guitar player is somewhere in between the person who likes Aquamarines and the person who likes mixology in that order.\nClue 26: The person who drives the Suzuki is at one of the ends.\nClue 27: Mandy is somewhere to the left of the person who drinks beer.\nClue 28: The flute player is somewhere to the left of the person who owns a Michael Kors.\nClue 29: The baseball player is at one of the ends.\nClue 30: The person who likes mixology is somewhere in between the Serbian and the person who likes Sapphires in that order.\nClue 31: The person who drinks coffee is somewhere in between the person who likes biking and the person who likes video games in that order.\nClue 32: The person who likes mixology is the harmonica player.\nClue 33: Bob is somewhere to the left of Randy.\nClue 34: The Spanish is somewhere in between the person who drives the Kawasaki and the Pakistani in that order.\nClue 35: The person who owns a Versace is at one of the ends.\nClue 36: The person who likes daisies is the person who supports the San Francisco 49ers.\nClue 37: The person who supports the Cincinnati Bengals is the person who likes sea bass.\nClue 38: The person who drinks iced tea is at one of the ends.\nClue 39: The person who likes lilies is at one of the ends.\nClue 40: The person who drives the Mercedes is somewhere in between the person who eats kiwis and the person who drives the Hyundai in that order.\nClue 41: The piano player is the person who likes baking.\nClue 42: The person who likes cougars is the person who likes Pepsi.\nClue 43: The Russian is not the person who eats mangoes.\nClue 44: The person who likes Sapphires is next to Tao.\nClue 45: The baseball player is somewhere to the left of the person who likes mannikins.\nClue 46: Rajiv is the person who drives the Kawasaki.\nClue 47: The violin player is the person who likes base jumping.\nClue 48: The person who drives the Honda is immediately to the left of the person who drinks coffee.\nClue 49: The guitar player is somewhere in between the person who owns a Coach and the person who drinks coffee in that order.\nClue 50: The Pakistani is the person who likes Sapphires.\nClue 51: The harp player is at one of the ends.\nClue 52: The Spanish is not Rajiv.\nClue 53: The person who supports the Tennessee Titans is somewhere in between the tennis player and the person who supports the Hawks in that order.\nClue 54: The person who likes Aquamarines is not the person who likes biking.\nClue 55: The person who likes Pearls is not the person who owns a Versace.\nClue 56: The person who supports the Mavericks is immediately to the left of the person who likes daffodils.\nClue 57: The person who drives the Toyota is somewhere in between the person who drives the Kawasaki and the person who eats mangoes in that order.\nClue 58: The person who eats blueberries is somewhere in between the person who likes Topaz and the person who drives the Mercedes in that order.\nClue 59: The person who likes biking is next to the person who owns a Coach.\nClue 60: The person who supports the Knicks is somewhere in between the person who likes Canada Dry and the person who supports the Hawks in that order.\nClue 61: The flute player is immediately to the left of the person who drives the Toyota.\nClue 62: The person who likes Aquamarines is at one of the ends.\nClue 63: The person who supports the Denver Broncos is the person who likes Pepsi.\nClue 64: The person who drives the Suzuki is next to the person who eats mangoes.\nClue 65: The flute player is immediately to the left of the piano player.\nClue 66: Rajiv is at one of the ends.\nClue 67: The Spanish is not the person who drives the BMW.\nClue 68: The person who likes snorkeling is the Pakistani.\nClue 69: The person who drinks iced tea is at one of the ends.\nClue 70: The person who likes language learning is somewhere in between the person who likes base jumping and the person who likes biking in that order.\nClue 71: Randy is somewhere in between the person who drives the Audi and the person who eats oranges in that order.\nClue 72: The violin player is at one of the ends.\nClue 73: Rajiv is immediately to the left of the person who drinks iced coffee.\nClue 74: The person who likes tulips is next to the person who likes marigolds.\nClue 75: The person who supports the Cincinnati Bengals is next to the person who likes Pepsi.\nClue 76: The person who eats strawberries is next to the person who drives the Kawasaki.\nClue 77: The table tennis player is the person who likes marigolds.\nClue 78: The person who drives the Mercedes is next to the person who eats bananas.\nClue 79: The person who likes cooking is immediately to the left of the person who likes weight lifting.\nClue 80: The person who drinks iced tea is the harp player.\nClue 81: The person who eats kiwis is not Randy.\nClue 82: The person who supports the Knicks is immediately to the left of the person who likes Coke.\nClue 83: The soccer player is somewhere to the left of the person who likes baboons.\nClue 84: The table tennis player is at one of the ends.\nClue 85: The person who likes daisies is next to the person who supports the Warriors.\nClue 86: The person who drinks tea is not the guitar player.\nClue 87: The person who eats oranges is at one of the ends.\nClue 88: The person who likes Pearls is somewhere in between the Serbian and the person who likes video games in that order.\nClue 89: The person who likes daisies is next to the soccer player.\nClue 90: The person who drinks beer is immediately to the left of the person who drives the Harley-Davidson.\nClue 91: The person who likes Mirinda is the person who supports the Warriors.\nClue 92: The person who likes hiking is somewhere to the left of the person who likes Sapphires.\nClue 93: The person who drinks coffee is somewhere to the left of the person who likes video games.\nClue 94: The person who drives the Suzuki is at one of the ends.\nClue 95: The person who drives the Suzuki is not the person who likes biking.\nClue 96: The person who owns a Versace is the person who drives the Kawasaki.\nClue 97: The person who owns a Versace is the person who likes cooking.\nClue 98: The person who owns a Gucci is somewhere in between the person who owns a Tumi and the person who likes mixology in that order.\nClue 99: The piano player is the person who drives the Ducati.\nClue 100: The person who drinks iced tea is not the person who likes language learning.\nClue 101: Tao is the person who owns a Dolce and Gabbana.\nClue 102: The person who drives the Kawasaki is immediately to the left of the person who drinks iced coffee.\nClue 103: The person who drinks beer is not the person who owns a Coach.\nClue 104: Tao is not the person who drinks iced coffee.\nClue 105: Mandy is immediately to the left of the Mexican.\nClue 106: The flute player is not the person who drinks coffee.\nClue 107: The person who eats strawberries is somewhere in between the Russian and the Turkish in that order.\nClue 108: The person who drives the Hyundai is at one of the ends.\nClue 109: The person who likes Pearls is next to the person who drives the Piaggio.\nClue 110: The person who likes paragliding is somewhere to the left of the person who drinks iced tea.\nClue 111: The Spanish is immediately to the left of the person who likes paragliding.\nClue 112: The person who supports the Cincinnati Bengals is the basketball player.\nClue 113: The person who likes pottery is immediately to the left of the harmonica player.\nClue 114: The guitar player is not the person who likes cooking.\nClue 115: The person who eats bananas is the person who likes biking.\nClue 116: The person who drives the Harley-Davidson is somewhere to the left of the person who likes video games.\nClue 117: Randy is the person who likes Corals.\nClue 118: The Russian is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 119: The person who likes baking is somewhere in between the person who owns a Tumi and the guitar player in that order.\nClue 120: The Spanish is not the person who likes biking.\nClue 121: The person who drinks water is somewhere in between the violin player and Randy in that order.\nClue 122: The person who drinks iced coffee is immediately to the left of the person who likes Diamonds.\nClue 123: The Spanish is next to the person who drives the Ducati.\nClue 124: The person who supports the Celtics is immediately to the left of the person at the 3rd position.\nClue 125: The Russian is at one of the ends.\nClue 126: The person who likes mixology is Tao.\nClue 127: The person who eats oranges is at one of the ends.\nClue 128: The person who likes Gatorade is somewhere to the left of the person who supports the Green Bay Packers.\nClue 129: The person who likes language learning is not the Mexican.\n\nQuestion: What position is the person who likes Mirinda at?",
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    "dataset": "bbeh",
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    "id": "bbeh:zebra_puzzles:025",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite soft drink: Mountain Dew, 7up, Limca, Canada Dry, Mirinda, Pepsi, Gatorade.\nEveryone likes a different favorite animal: ostriches, dugongs, elephants, cows, otters, canaries, zanders.\nEveryone has a different favorite hobby: astronomy, bird watching, gardening, kite flying, cheese making, coin collecting, archery.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tory Burch, Kate Spade, Polo Ralph Lauren, Coach, Balenciaga, Versace.\nEveryone likes a different type of gemstone: Dolomites, Ambers, Sapphires, Jade, Pearls, Diamonds, Corals.\nEveryone has a different profession: dancer, spy, engineer, architect, teacher, artist, doctor.\nEveryone supports a different NFL team: Carolina Panthers, Denver Broncos, Arizona Cardinals, Kansas City Chiefs, Baltimore Ravens, Philadelphia Eagles, Los Angeles Rams.\nEveryone plays a different sport: soccer, badminton, volleyball, table tennis, baseball, squash, cricket.\nEveryone lives in a different colored house: green, indigo, teal, white, silver, magenta, grey.\nEveryone likes a different food: burgers, pasta, soups, kebabs, tacos, fried rice, noodles.\nEveryone likes a different type of flower: daffodils, daisies, dahlias, lilies, roses, marigolds, tulips.\nEveryone reads a different genre of books: humor, short story, magical realism, spiritual, science fiction, fantasy, romance.\nEveryone drives a different car: Hyundai, Kia, Lexus, Tesla, Toyota, Mercedes, BMW.\nEveryone drives a different motorbike: Bajaj, Yamaha, Kawasaki, Ducati, Piaggio, Harley-Davidson, Honda.\nEveryone is a different nationality: Portuguese, Pakistani, Korean, Australian, Swede, Brit, Swiss.\nEveryone has a different name: Karan, Jones, Ahmed, Yair, Charlie, Noah, Joseph.\nEveryone plays a different musical instrument: cello, violin, drums, guitar, saxophone, harp, oboe.\nEveryone drinks a different drink: coffee, milk, iced coffee, water, lemonade, iced tea, hot chocolate.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Ducati is at one of the ends.\nClue 2: The person who owns a Versace is not the person who likes bird watching.\nClue 3: The person who owns a Balenciaga is at one of the ends.\nClue 4: The person who lives in the magenta house is immediately to the left of the person who reads short story books.\nClue 5: The person who drinks iced tea is somewhere in between the person who drinks hot chocolate and the person who likes kebabs in that order.\nClue 6: The person who likes 7up is immediately to the left of the person who likes elephants.\nClue 7: Yair is next to the person who supports the Kansas City Chiefs.\nClue 8: The person who likes zanders is somewhere to the left of the person who likes 7up.\nClue 9: The person who likes marigolds is somewhere in between the person who lives in the white house and the person who likes zanders in that order.\nClue 10: The person who drinks lemonade is not the person who drives the Kia.\nClue 11: Ahmed is immediately to the left of the person who likes ostriches.\nClue 12: The person who lives in the white house is next to the person who lives in the green house.\nClue 13: The person who drives the Piaggio is next to the person who owns a Kate Spade.\nClue 14: The person who owns a Tory Burch is somewhere in between the person who drives the Kawasaki and the architect in that order.\nClue 15: The person who drinks lemonade is next to the person who likes kebabs.\nClue 16: The person who likes tulips is the person who reads science fiction books.\nClue 17: The person who likes dahlias is immediately to the left of the person who likes lilies.\nClue 18: The soccer player is not the person who drives the Hyundai.\nClue 19: The Swiss is immediately to the left of the Pakistani.\nClue 20: The person who likes burgers is at one of the ends.\nClue 21: The person who owns a Dolce and Gabbana is somewhere to the left of the person who drinks iced coffee.\nClue 22: The person who likes Dolomites is the cello player.\nClue 23: The person who drives the Hyundai is not the spy.\nClue 24: The person who likes roses is somewhere to the left of Joseph.\nClue 25: The person who likes fried rice is not the person who drives the Ducati.\nClue 26: The person who likes Pepsi is somewhere in between the person who likes daisies and the person who lives in the green house in that order.\nClue 27: The person who likes Sapphires is not the cricket player.\nClue 28: The person who drives the Ducati is at one of the ends.\nClue 29: The person who drives the Lexus is somewhere to the left of the person who drinks iced coffee.\nClue 30: The architect is somewhere to the left of the person who likes burgers.\nClue 31: The Portuguese is somewhere in between the oboe player and the person who drives the Toyota in that order.\nClue 32: The person who owns a Tory Burch is next to the teacher.\nClue 33: The person who lives in the indigo house is somewhere to the left of Noah.\nClue 34: The person who supports the Denver Broncos is the person who likes roses.\nClue 35: The volleyball player is not the person who likes tacos.\nClue 36: The person who likes bird watching is next to the person who drives the Harley-Davidson.\nClue 37: The person who drinks hot chocolate is immediately to the left of the person who drives the Mercedes.\nClue 38: The teacher is not the person who drinks hot chocolate.\nClue 39: The Korean is at one of the ends.\nClue 40: The person who likes Diamonds is the person who likes gardening.\nClue 41: The person who reads romance books is immediately to the left of Charlie.\nClue 42: The volleyball player is at one of the ends.\nClue 43: The person who owns a Tory Burch is not the squash player.\nClue 44: The person who drives the Lexus is somewhere in between the Portuguese and the volleyball player in that order.\nClue 45: The person who likes Jade is at one of the ends.\nClue 46: The person who likes cheese making is not the person who likes Diamonds.\nClue 47: The person who drives the Lexus is next to the person who drives the BMW.\nClue 48: The person who drives the Kia is somewhere to the left of the oboe player.\nClue 49: The teacher is immediately to the left of the person who likes archery.\nClue 50: The person who drives the Honda is at one of the ends.\nClue 51: The Portuguese is somewhere in between the cricket player and the person who likes Corals in that order.\nClue 52: The person who owns a Kate Spade is not the oboe player.\nClue 53: The person who lives in the white house is next to Noah.\nClue 54: The guitar player is somewhere in between the person who likes Ambers and the person who likes kite flying in that order.\nClue 55: The person who owns a Coach is somewhere in between the person who likes tacos and the saxophone player in that order.\nClue 56: The person who drinks hot chocolate is next to the person who drinks coffee.\nClue 57: The Brit is at one of the ends.\nClue 58: The person who drinks lemonade is somewhere in between the artist and the person who likes noodles in that order.\nClue 59: The person who likes soups is immediately to the left of the person who drives the Tesla.\nClue 60: The person who owns a Kate Spade is somewhere to the left of the person who drinks lemonade.\nClue 61: The person who drives the Tesla is somewhere in between the table tennis player and the person who drives the Bajaj in that order.\nClue 62: The cricket player is immediately to the left of the person who drinks iced tea.\nClue 63: The oboe player is somewhere to the left of the person who drives the Toyota.\nClue 64: The person who supports the Kansas City Chiefs is next to the person who lives in the white house.\nClue 65: The person who lives in the grey house is immediately to the left of the person who likes Canada Dry.\nClue 66: The person who reads spiritual books is next to the person who likes roses.\nClue 67: The person who likes fried rice is immediately to the left of the person who likes noodles.\nClue 68: The cello player is somewhere to the left of the volleyball player.\nClue 69: The person who likes zanders is Ahmed.\nClue 70: Ahmed is somewhere to the left of the person who supports the Baltimore Ravens.\nClue 71: The Brit is at one of the ends.\nClue 72: The person who likes Mirinda is somewhere to the left of the person who likes Canada Dry.\nClue 73: Ahmed is next to the person at the 6th position.\nClue 74: The person who likes roses is at one of the ends.\nClue 75: The person who drives the Kia is immediately to the left of the engineer.\nClue 76: The person who drives the Ducati is not the person who likes Ambers.\nClue 77: The Swede is not the person who drinks hot chocolate.\nClue 78: The person who lives in the teal house is the person who likes cows.\nClue 79: The dancer is the soccer player.\nClue 80: The person who likes dahlias is next to the person who likes Mirinda.\nClue 81: The person who lives in the magenta house is somewhere in between the person who likes marigolds and the person who likes lilies in that order.\nClue 82: The person who likes Ambers is immediately to the left of the person who drives the Bajaj.\nClue 83: The person who drinks lemonade is not the teacher.\nClue 84: The person who drinks water is the person who owns a Coach.\nClue 85: The oboe player is immediately to the left of the person who owns a Coach.\nClue 86: The person who reads romance books is somewhere in between Joseph and the person who reads magical realism books in that order.\nClue 87: The spy is the baseball player.\nClue 88: The person who likes burgers is not the person who likes coin collecting.\nClue 89: The person who likes astronomy is next to the person who likes Sapphires.\nClue 90: The violin player is not the person who likes kite flying.\nClue 91: The person who likes canaries is next to the person who likes Mountain Dew.\nClue 92: The person who reads romance books is immediately to the left of the person who reads short story books.\nClue 93: The teacher is not the person who likes fried rice.\nClue 94: The person who likes otters is at one of the ends.\nClue 95: The person who owns a Versace is somewhere in between the person who drinks coffee and the Swiss in that order.\nClue 96: The person who drives the Kawasaki is somewhere to the left of the person who owns a Balenciaga.\nClue 97: The person who drives the Piaggio is somewhere in between the cricket player and the person who likes coin collecting in that order.\nClue 98: The person who drinks iced tea is somewhere in between the violin player and the person who likes Sapphires in that order.\nClue 99: The person who likes soups is next to the person who likes pasta.\nClue 100: The person who supports the Arizona Cardinals is Joseph.\nClue 101: The person who drives the Toyota is not the person who likes Jade.\nClue 102: The person who likes Pearls is next to the person who likes Dolomites.\nClue 103: Noah is somewhere in between the person who likes Limca and the person who reads humor books in that order.\nClue 104: The teacher is somewhere to the left of the person who drives the Yamaha.\nClue 105: The person who likes Corals is somewhere to the left of the volleyball player.\nClue 106: The person who likes Diamonds is the artist.\nClue 107: The person who drives the Bajaj is not the engineer.\nClue 108: The volleyball player is not the person who drinks hot chocolate.\nClue 109: The person who supports the Philadelphia Eagles is immediately to the left of the person who likes 7up.\nClue 110: The soccer player is the person who likes archery.\nClue 111: The soccer player is the person who likes archery.\nClue 112: The person who likes Corals is the architect.\nClue 113: The person who supports the Kansas City Chiefs is next to the person who supports the Los Angeles Rams.\nClue 114: The person who drives the Lexus is next to the Swiss.\nClue 115: The person who owns a Versace is somewhere in between the person who drives the Harley-Davidson and the harp player in that order.\nClue 116: The spy is at one of the ends.\nClue 117: The badminton player is not the person who owns a Balenciaga.\nClue 118: The person who drives the Mercedes is the person who drives the Harley-Davidson.\nClue 119: The person who likes archery is somewhere in between the person who drinks water and the badminton player in that order.\nClue 120: The cello player is not the person who drives the Yamaha.\nClue 121: The Brit is at one of the ends.\nClue 122: The violin player is not the dancer.\nClue 123: The person who drives the Lexus is immediately to the left of the person who likes kite flying.\nClue 124: The person who likes archery is somewhere to the left of the volleyball player.\nClue 125: The person who drives the Honda is at one of the ends.\nClue 126: The person who supports the Baltimore Ravens is at one of the ends.\nClue 127: Karan is immediately to the left of the person at the 4th position.\nClue 128: The person who owns a Tory Burch is immediately to the left of the person who drinks milk.\nClue 129: The cricket player is immediately to the left of the person who likes soups.\nClue 130: The person who likes Dolomites is immediately to the left of the person who drinks iced tea.\nClue 131: The person who likes otters is the person who reads fantasy books.\nClue 132: The person who likes soups is the person who owns a Versace.\nClue 133: The person who likes Canada Dry is at one of the ends.\nClue 134: The artist is somewhere in between the Swede and the person who likes Corals in that order.\nClue 135: The dancer is somewhere in between the person who owns a Coach and the person who drives the BMW in that order.\nClue 136: The person who likes marigolds is the person who likes canaries.\nClue 137: The person who drives the Ducati is somewhere to the left of the person who drives the Harley-Davidson.\nClue 138: The person who drives the Toyota is not the architect.\nClue 139: The person who drinks hot chocolate is immediately to the left of the cello player.\n\nQuestion: What position is the person who reads spiritual books at?",
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    "dataset": "bbeh",
    "family": "c05fd0ca7d2cfd8c7dd032aeeda30c8837b7fb3e442c12091518846515d4d71e",
    "id": "bbeh:zebra_puzzles:027",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite soft drink: Canada Dry, Dr Pepper, 7up, Limca, Pepsi.\nEveryone supports a different NBA team: Bulls, Cavaliers, Mavericks, Warriors, Bucks.\nEveryone is a different nationality: Russian, Indian, Swede, Swiss, Brit.\nEveryone drinks a different drink: tea, water, hot chocolate, milk, lemonade.\nEveryone lives in a different colored house: yellow, magenta, green, silver, brown.\nEveryone likes a different favorite animal: ligers, beavers, squirrels, mannikins, zebras.\nEveryone likes a different food: noodles, tacos, fried rice, kebabs, burgers.\nEveryone plays a different sport: tennis, ice hockey, basketball, volleyball, cricket.\nEveryone has a different profession: programmer, engineer, architect, spy, chef.\nEveryone plays a different musical instrument: flute, drums, saxophone, harmonica, harp.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tory Burch, Kate Spade, Coach, Michael Kors.\nEveryone likes a different fruit: pears, mangoes, kiwis, strawberries, bananas.\nEveryone likes a different type of flower: carnations, daisies, lilies, orchids, tulips.\nEveryone smokes a different cigarette: Newport, Pall Mall, Davidoff, Winston, Blue Master.\nEveryone drives a different motorbike: Kawasaki, Harley-Davidson, Ducati, Benelli, Bajaj.\nEveryone reads a different genre of books: mystery, romance, history, spiritual, science fiction.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Cavaliers is next to the person who supports the Bulls.\nClue 2: The person who drinks milk is somewhere to the left of the person who reads spiritual books.\nClue 3: The person who reads romance books is at one of the ends.\nClue 4: The person who eats kiwis is the person who supports the Warriors.\nClue 5: The person who reads romance books is somewhere to the left of the harmonica player.\nClue 6: The chef is not the person who reads romance books.\nClue 7: The person who reads spiritual books is the person who lives in the silver house.\nClue 8: The person who drives the Benelli is immediately to the left of the Swiss.\nClue 9: The person who likes squirrels is the person who drinks hot chocolate.\nClue 10: The person who owns a Kate Spade is the person who smokes Pall Mall.\nClue 11: The person who drinks lemonade is the person who smokes Winston.\nClue 12: The person who smokes Davidoff is the person who drinks water.\nClue 13: The saxophone player is the person who likes kebabs.\nClue 14: The person who likes beavers is at one of the ends.\nClue 15: The person who owns a Tory Burch is not the person who likes lilies.\nClue 16: The person who owns a Dolce and Gabbana is immediately to the left of the person who smokes Davidoff.\nClue 17: The cricket player is at one of the ends.\nClue 18: The person who likes noodles is next to the person who reads science fiction books.\nClue 19: The person who likes ligers is somewhere in between the person who drinks tea and the person who lives in the brown house in that order.\nClue 20: The person who lives in the yellow house is somewhere in between the person who owns a Kate Spade and the person who drinks hot chocolate in that order.\nClue 21: The person who likes squirrels is somewhere in between the programmer and the person who likes noodles in that order.\nClue 22: The drums player is somewhere to the left of the person who likes noodles.\nClue 23: The person who smokes Blue Master is somewhere in between the person who drinks tea and the flute player in that order.\nClue 24: The tennis player is the chef.\nClue 25: The person who likes mannikins is the person who likes carnations.\nClue 26: The person who smokes Davidoff is not the tennis player.\nClue 27: The person who likes zebras is immediately to the left of the person who likes ligers.\nClue 28: The person who smokes Pall Mall is the tennis player.\nClue 29: The person who smokes Davidoff is at one of the ends.\nClue 30: The cricket player is the flute player.\nClue 31: The chef is the person who reads history books.\nClue 32: The harmonica player is immediately to the left of the spy.\nClue 33: The Swede is somewhere in between the person who likes Limca and the person who eats kiwis in that order.\nClue 34: The person who owns a Coach is next to the person who smokes Blue Master.\nClue 35: The person who likes daisies is somewhere to the left of the person who likes beavers.\nClue 36: The person who drinks lemonade is immediately to the left of the person who drinks tea.\nClue 37: The person who likes ligers is next to the person who reads science fiction books.\nClue 38: The person who smokes Blue Master is not the cricket player.\nClue 39: The person who smokes Pall Mall is next to the person who lives in the yellow house.\nClue 40: The programmer is not the person who owns a Coach.\nClue 41: The Swede is somewhere in between the person who likes Canada Dry and the Swiss in that order.\nClue 42: The drums player is the person who likes fried rice.\nClue 43: The flute player is not the person who likes ligers.\nClue 44: The person who supports the Cavaliers is the Swede.\nClue 45: The harmonica player is somewhere in between the person who likes mannikins and the engineer in that order.\nClue 46: The person who likes beavers is not the ice hockey player.\nClue 47: The person who likes Dr Pepper is the person who drives the Kawasaki.\nClue 48: The chef is somewhere in between the ice hockey player and the person who owns a Michael Kors in that order.\nClue 49: The person who reads history books is not the cricket player.\nClue 50: The person who likes 7up is immediately to the left of the person who likes Limca.\nClue 51: The person who reads history books is not the person who drinks water.\nClue 52: The volleyball player is somewhere to the left of the flute player.\nClue 53: The person who likes zebras is somewhere in between the person who likes fried rice and the person who smokes Newport in that order.\nClue 54: The person who reads romance books is next to the harmonica player.\nClue 55: The person who likes fried rice is not the basketball player.\nClue 56: The person who smokes Pall Mall is not the person who owns a Tory Burch.\nClue 57: The person who reads science fiction books is somewhere in between the basketball player and the person who lives in the silver house in that order.\nClue 58: The person who drinks hot chocolate is the volleyball player.\nClue 59: The person who likes 7up is the person at the 2nd position.\nClue 60: The person who lives in the magenta house is the person who reads history books.\nClue 61: The person who lives in the silver house is next to the harp player.\nClue 62: The basketball player is next to the volleyball player.\nClue 63: The person who owns a Dolce and Gabbana is somewhere in between the person who owns a Michael Kors and the person who smokes Davidoff in that order.\nClue 64: The drums player is immediately to the left of the person who reads history books.\nClue 65: The person who smokes Pall Mall is the person who owns a Kate Spade.\nClue 66: The Indian is immediately to the left of the person who drives the Harley-Davidson.\nClue 67: The person who drinks tea is next to the person who likes fried rice.\nClue 68: The person who drives the Harley-Davidson is immediately to the left of the person who eats pears.\nClue 69: The person who likes carnations is at one of the ends.\nClue 70: The person who owns a Coach is at one of the ends.\nClue 71: The person who likes squirrels is immediately to the left of the engineer.\nClue 72: The programmer is next to the harmonica player.\nClue 73: The person who smokes Winston is at one of the ends.\nClue 74: The tennis player is not the person who lives in the yellow house.\nClue 75: The person who drinks hot chocolate is immediately to the left of the person who likes beavers.\nClue 76: The harp player is the person who smokes Blue Master.\nClue 77: The person who likes carnations is at one of the ends.\nClue 78: The person who lives in the silver house is at one of the ends.\nClue 79: The person who lives in the silver house is not the drums player.\nClue 80: The person who owns a Kate Spade is not the person who likes beavers.\nClue 81: The person who eats strawberries is the person who drives the Bajaj.\nClue 82: The person who likes kebabs is the person who likes tulips.\nClue 83: The person who drinks hot chocolate is not the ice hockey player.\nClue 84: The person who owns a Dolce and Gabbana is somewhere in between the person who reads history books and the person who smokes Davidoff in that order.\nClue 85: The person who likes Canada Dry is the person who supports the Bucks.\nClue 86: The person who likes ligers is next to the person who lives in the brown house.\nClue 87: The ice hockey player is at one of the ends.\nClue 88: The person who lives in the green house is immediately to the left of the person who owns a Kate Spade.\nClue 89: The person who reads mystery books is somewhere in between the person who likes zebras and the person who likes noodles in that order.\nClue 90: The person who owns a Dolce and Gabbana is somewhere in between the person who reads mystery books and the person who likes lilies in that order.\nClue 91: The tennis player is the person who drinks tea.\nClue 92: The person who owns a Dolce and Gabbana is not the person who likes fried rice.\nClue 93: The architect is somewhere in between the spy and the person who smokes Davidoff in that order.\nClue 94: The person who lives in the brown house is not the person who smokes Newport.\nClue 95: The spy is somewhere in between the harmonica player and the person who likes daisies in that order.\nClue 96: The person who likes mannikins is immediately to the left of the person who likes tacos.\nClue 97: The person who reads history books is not the person who drinks water.\nClue 98: The person who smokes Pall Mall is somewhere to the left of the person who likes noodles.\nClue 99: The tennis player is somewhere to the left of the person who smokes Newport.\nClue 100: The person who likes tacos is somewhere in between the person who likes fried rice and the person who lives in the yellow house in that order.\nClue 101: The person who likes zebras is the tennis player.\nClue 102: The person who drives the Harley-Davidson is next to the person who drives the Bajaj.\nClue 103: The Russian is somewhere in between the person who eats mangoes and the person who eats pears in that order.\nClue 104: The person who smokes Pall Mall is not the person who likes kebabs.\nClue 105: The person who likes ligers is not the person who likes tacos.\nClue 106: The basketball player is immediately to the left of the volleyball player.\nClue 107: The chef is somewhere in between the person who smokes Winston and the person who likes burgers in that order.\nClue 108: The person who reads science fiction books is not the person who likes tulips.\nClue 109: The person who eats pears is immediately to the left of the person who eats kiwis.\nClue 110: The person who lives in the green house is immediately to the left of the person who reads history books.\nClue 111: The harmonica player is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 112: The person who drives the Kawasaki is the Swiss.\nClue 113: The spy is not the person who owns a Dolce and Gabbana.\nClue 114: The person who reads science fiction books is the architect.\nClue 115: The spy is the person who likes kebabs.\nClue 116: The drums player is not the person who likes orchids.\nClue 117: The person who likes kebabs is somewhere in between the programmer and the volleyball player in that order.\n\nQuestion: What position is the person who eats kiwis at?",
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    "family": "a024e551c83153fbc1c5b408e6e2f0ed5cf06f1c145bab2b321d5f3021dbad9f",
    "id": "bbeh:zebra_puzzles:028",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different fruit: mangoes, blackberries, oranges, pears, blueberries, grapes, kiwis.\nEveryone has a different favorite soft drink: 7up, Canada Dry, Sprite, Pepsi, Powerade, Coke, Fanta.\nEveryone supports a different NFL team: Los Angeles Rams, Buffalo Bills, Seattle Seahawks, Denver Broncos, Cincinnati Bengals, New England Patriots, Pittsburgh Steelers.\nEveryone likes a different food: pizza, sandwiches, curry, fried rice, tacos, kebabs, noodles.\nEveryone lives in a different colored house: indigo, brown, teal, yellow, magenta, pink, orange.\nEveryone likes a different type of flower: daisies, carnations, peonies, tulips, daffodils, dahlias, begonias.\nEveryone has a different profession: artist, programmer, architect, actor, engineer, dancer, athlete.\nEveryone has a different name: Rajiv, Alex, Wang, Barbara, Rafael, Mallika, Margaret.\nEveryone drives a different car: Audi, Ford, McLaren, Tesla, Mercedes, Lexus, Toyota.\nEveryone drives a different motorbike: Benelli, Suzuki, Honda, Kawasaki, Ducati, Yamaha, Bajaj.\nEveryone smokes a different cigarette: Marlboro, Salem, Davidoff, Camel, Blends, Dunhill, Pall Mall.\nEveryone has a different favorite hobby: beekeeping, cheese making, baking, language learning, bird watching, drone flying, wine making.\nEveryone reads a different genre of books: romance, spiritual, humor, fantasy, magical realism, mystery, science fiction.\nEveryone plays a different musical instrument: violin, oboe, cello, harp, saxophone, flute, guitar.\nEveryone owns a different handbag brand: Dolce and Gabbana, Gucci, Polo Ralph Lauren, Balenciaga, Tory Burch, Tumi, Versace.\nEveryone likes a different type of gemstone: Aquamarines, Sapphires, Topaz, Rubies, Dolomites, Diamonds, Corals.\nEveryone plays a different sport: squash, cricket, table tennis, soccer, volleyball, badminton, tennis.\nEveryone likes a different favorite animal: cougars, lions, otters, puffins, llamas, starfish, gorillas.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes Pepsi is somewhere to the left of the engineer.\nClue 2: The person who smokes Pall Mall is immediately to the left of the person who lives in the pink house.\nClue 3: The person who likes daisies is the person who reads mystery books.\nClue 4: The person who drives the Lexus is not the person who reads humor books.\nClue 5: The actor is the person at the 4th position.\nClue 6: The person who eats kiwis is not Mallika.\nClue 7: The person who likes sandwiches is immediately to the left of the person who likes Sprite.\nClue 8: Barbara is not the person who drives the Ford.\nClue 9: The person who lives in the yellow house is not the person who likes Sapphires.\nClue 10: The person who supports the Pittsburgh Steelers is next to the cello player.\nClue 11: The person who reads spiritual books is the person who likes cougars.\nClue 12: The cricket player is immediately to the left of the person who owns a Gucci.\nClue 13: The person who lives in the brown house is not the oboe player.\nClue 14: The oboe player is not the person who likes Dolomites.\nClue 15: The person who likes puffins is the person who smokes Marlboro.\nClue 16: The person who owns a Tory Burch is the person who likes tacos.\nClue 17: The person who likes wine making is at one of the ends.\nClue 18: The person who owns a Tory Burch is somewhere in between the person who likes kebabs and the person who likes pizza in that order.\nClue 19: The person who likes bird watching is next to the athlete.\nClue 20: The person who likes otters is not the person who smokes Camel.\nClue 21: The person who drives the McLaren is the person who eats oranges.\nClue 22: The person who lives in the magenta house is next to the person who drives the Audi.\nClue 23: The person who reads mystery books is the person who eats blackberries.\nClue 24: The person who reads science fiction books is not the person who smokes Pall Mall.\nClue 25: The person who smokes Davidoff is next to Barbara.\nClue 26: The person who reads science fiction books is somewhere to the left of the person who drives the Ford.\nClue 27: The cello player is the person who reads humor books.\nClue 28: The person who likes Canada Dry is the person who likes kebabs.\nClue 29: The person who owns a Tory Burch is the person at the 6th position.\nClue 30: The actor is next to the table tennis player.\nClue 31: The violin player is somewhere to the left of the person who likes puffins.\nClue 32: The person who drives the Mercedes is not the violin player.\nClue 33: The person who smokes Salem is somewhere in between the person who drives the McLaren and the person who drives the Mercedes in that order.\nClue 34: Rajiv is not the person who eats mangoes.\nClue 35: The person who drives the Kawasaki is not the cricket player.\nClue 36: The person who drives the Lexus is somewhere in between the person who reads humor books and the person who likes lions in that order.\nClue 37: The person who likes peonies is somewhere to the left of the person who eats blackberries.\nClue 38: The person who eats pears is the person who likes carnations.\nClue 39: Alex is next to the person who likes otters.\nClue 40: The person who likes lions is somewhere to the left of the person who smokes Salem.\nClue 41: Barbara is not the flute player.\nClue 42: The person who drives the Ducati is immediately to the left of the person who drives the Suzuki.\nClue 43: The person who eats pears is not the person who likes Dolomites.\nClue 44: The person who drives the Honda is next to the person who likes Sprite.\nClue 45: The oboe player is somewhere in between the person who likes gorillas and the person who lives in the brown house in that order.\nClue 46: The person who likes otters is the person who drives the Mercedes.\nClue 47: The person who owns a Gucci is immediately to the left of the person who likes noodles.\nClue 48: The person who lives in the pink house is not the person who smokes Pall Mall.\nClue 49: The person who smokes Dunhill is somewhere to the left of the person who reads fantasy books.\nClue 50: The person who drives the Audi is the person who eats mangoes.\nClue 51: The person who likes llamas is immediately to the left of the person who smokes Blends.\nClue 52: The person who eats kiwis is the person who likes cougars.\nClue 53: The artist is next to the person who drives the Suzuki.\nClue 54: The person who drives the Lexus is somewhere in between the person who drives the Audi and the person who likes Rubies in that order.\nClue 55: The person who eats pears is immediately to the left of the person who likes peonies.\nClue 56: The person who likes cougars is immediately to the left of the person who lives in the yellow house.\nClue 57: The person who drives the Honda is at one of the ends.\nClue 58: The person who drives the Lexus is the person who reads mystery books.\nClue 59: The person who likes dahlias is immediately to the left of the person who likes otters.\nClue 60: The person who reads fantasy books is not the person who lives in the teal house.\nClue 61: Margaret is immediately to the left of the person who drives the McLaren.\nClue 62: The person who likes wine making is next to the person who likes curry.\nClue 63: The person who supports the Los Angeles Rams is the cello player.\nClue 64: The person who reads spiritual books is not the person who smokes Marlboro.\nClue 65: The person who smokes Marlboro is Alex.\nClue 66: The person who likes beekeeping is at one of the ends.\nClue 67: The person who lives in the teal house is not the saxophone player.\nClue 68: Barbara is somewhere in between the person who likes Topaz and the person who drives the Tesla in that order.\nClue 69: The person who eats grapes is at one of the ends.\nClue 70: The person who reads magical realism books is immediately to the left of the person who eats grapes.\nClue 71: The person who eats mangoes is somewhere in between the person who likes carnations and the person who reads mystery books in that order.\nClue 72: The person who supports the Cincinnati Bengals is next to the person who lives in the yellow house.\nClue 73: The person who likes kebabs is next to the person who likes Coke.\nClue 74: The person who supports the Buffalo Bills is somewhere to the left of the person who drives the Mercedes.\nClue 75: The person who likes daffodils is not the person who likes gorillas.\nClue 76: The person who lives in the orange house is at one of the ends.\nClue 77: The person who owns a Tumi is the person who likes Pepsi.\nClue 78: The person who eats blueberries is not the person who reads mystery books.\nClue 79: The person who likes fried rice is immediately to the left of the volleyball player.\nClue 80: The person who supports the Denver Broncos is not the violin player.\nClue 81: The person who supports the Los Angeles Rams is at one of the ends.\nClue 82: The person who owns a Gucci is the person who drives the Benelli.\nClue 83: The person who smokes Marlboro is at one of the ends.\nClue 84: The person who eats mangoes is not the person who supports the Seattle Seahawks.\nClue 85: The programmer is the cricket player.\nClue 86: Rafael is not the person who eats grapes.\nClue 87: Rafael is immediately to the left of the person who lives in the orange house.\nClue 88: The person who owns a Versace is not the person who drives the Kawasaki.\nClue 89: The person who supports the New England Patriots is somewhere to the left of the person who likes otters.\nClue 90: The person at the 6th position is immediately to the left of the person who owns a Versace.\nClue 91: The person who likes Topaz is not the person who eats kiwis.\nClue 92: The soccer player is the person who drives the Ducati.\nClue 93: The person who eats blueberries is not the person who likes Dolomites.\nClue 94: The architect is the person who drives the Suzuki.\nClue 95: Margaret is somewhere to the left of the person who likes Aquamarines.\nClue 96: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 97: The person who likes drone flying is somewhere in between the person who likes baking and the person who likes Pepsi in that order.\nClue 98: The cello player is somewhere to the left of the person who reads spiritual books.\nClue 99: The person who supports the Denver Broncos is not the person who smokes Camel.\nClue 100: The person at the 5th position is the person who likes cheese making.\nClue 101: The tennis player is the athlete.\nClue 102: The programmer is at one of the ends.\nClue 103: The cello player is Wang.\nClue 104: The person who likes otters is somewhere to the left of the saxophone player.\nClue 105: The person who likes carnations is next to the violin player.\nClue 106: The person who likes sandwiches is at one of the ends.\nClue 107: The person who drives the Bajaj is the person who likes Powerade.\nClue 108: The person who eats blackberries is not the flute player.\nClue 109: The person who likes Aquamarines is somewhere to the left of the person who supports the Seattle Seahawks.\nClue 110: The person who likes fried rice is the person who likes Pepsi.\nClue 111: The person who likes tulips is at one of the ends.\nClue 112: The person who smokes Davidoff is the person who supports the Los Angeles Rams.\nClue 113: The person who supports the Cincinnati Bengals is the person who drives the Ford.\nClue 114: The person who smokes Blends is the violin player.\nClue 115: The person who smokes Dunhill is somewhere in between the person who drives the Toyota and the saxophone player in that order.\nClue 116: The person who eats kiwis is the person who drives the Tesla.\nClue 117: The person who drives the Ducati is the person who likes drone flying.\nClue 118: The person who likes Sprite is not the athlete.\nClue 119: The person who eats pears is somewhere to the left of the person who likes cougars.\nClue 120: The person who likes Rubies is somewhere to the left of the person who smokes Marlboro.\nClue 121: The person who drives the Mercedes is not the person who likes peonies.\nClue 122: Rajiv is not the person who supports the Pittsburgh Steelers.\nClue 123: The person who reads spiritual books is somewhere to the left of the person who likes Diamonds.\nClue 124: The person who likes Pepsi is the person who likes cheese making.\nClue 125: Wang is not the person who drives the Lexus.\nClue 126: The person who likes Corals is immediately to the left of the person who lives in the brown house.\nClue 127: The person who supports the Cincinnati Bengals is Alex.\nClue 128: The person who likes Powerade is immediately to the left of the person who likes 7up.\nClue 129: Margaret is not the person who smokes Blends.\nClue 130: The saxophone player is at one of the ends.\nClue 131: The person who likes gorillas is immediately to the left of the person who likes daffodils.\nClue 132: The person who likes Powerade is immediately to the left of the squash player.\nClue 133: The person who drives the Toyota is immediately to the left of the person who reads romance books.\nClue 134: The person who likes peonies is somewhere to the left of the person who smokes Salem.\nClue 135: Rajiv is immediately to the left of the person who reads magical realism books.\nClue 136: The person at the 4th position is next to the person who owns a Balenciaga.\nClue 137: The person who likes gorillas is the person who supports the Buffalo Bills.\nClue 138: The person who likes otters is somewhere to the left of the person who eats grapes.\nClue 139: The person who eats pears is at one of the ends.\nClue 140: The person who lives in the brown house is somewhere to the left of the person who lives in the orange house.\nClue 141: The person who likes Rubies is somewhere to the left of the person who eats grapes.\nClue 142: The person who drives the Suzuki is immediately to the left of the person who likes tacos.\nClue 143: The person who likes Rubies is not the person who likes daffodils.\n\nQuestion: What position is the person who drives the Yamaha at?",
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    "dataset": "bbeh",
    "family": "136ffe392dab97505a797cb4495ff34ee72f9d2cc069c34830b8f2733175e2c7",
    "id": "bbeh:zebra_puzzles:035",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drives a different motorbike: Bajaj, Suzuki, Kawasaki, Harley-Davidson, Benelli, Buell, Ducati.\nEveryone plays a different sport: baseball, squash, basketball, soccer, badminton, volleyball, table tennis.\nEveryone reads a different genre of books: humor, spiritual, short story, romance, history, fantasy, science fiction.\nEveryone likes a different favorite animal: eels, phoenixes, pigs, kudus, dragonflies, coyotes, viperfish.\nEveryone has a different name: Mohan, Mandy, Rose, Alex, Doug, Joseph, Noah.\nEveryone has a different favorite soft drink: Fanta, 7up, Canada Dry, Gatorade, Sprite, Powerade, Pepsi.\nEveryone likes a different food: curry, noodles, kebabs, pizza, fried rice, pasta, soups.\nEveryone drinks a different drink: milk, tea, hot chocolate, iced tea, lemonade, beer, iced coffee.\nEveryone owns a different handbag brand: Gucci, Balenciaga, Tumi, Tory Burch, Michael Kors, Versace, Polo Ralph Lauren.\nEveryone drives a different car: Mercedes, Toyota, McLaren, Kia, BMW, Ferrari, Honda.\nEveryone lives in a different colored house: indigo, violet, green, beige, magenta, purple, orange.\nEveryone plays a different musical instrument: guitar, violin, piano, oboe, saxophone, harp, flute.\nEveryone has a different profession: actor, artist, singer, programmer, spy, dancer, doctor.\nEveryone likes a different type of gemstone: Emeralds, Jade, Rubies, Pearls, Ambers, Gypsum, Dolomites.\nEveryone likes a different fruit: blueberries, raspberries, apples, bananas, blackberries, mangoes, oranges.\nEveryone smokes a different cigarette: Camel, Marlboro, Davidoff, Blends, Salem, Winston, Blue Master.\nEveryone is a different nationality: Russian, Pakistani, Malaysian, Belarusian, Mexican, Australian, Chinese.\nEveryone supports a different NBA team: Celtics, Mavericks, Warriors, Knicks, Lakers, Suns, Bulls.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: Alex is at one of the ends.\nClue 2: The person who drinks beer is the person who likes Sprite.\nClue 3: The Chinese is at one of the ends.\nClue 4: The person who supports the Lakers is at one of the ends.\nClue 5: The person who likes coyotes is the person who reads science fiction books.\nClue 6: The person who likes curry is the harp player.\nClue 7: The person who lives in the purple house is next to the person who eats raspberries.\nClue 8: The person who eats oranges is the person at the 6th position.\nClue 9: The person who drives the Toyota is not the oboe player.\nClue 10: The person who likes eels is at one of the ends.\nClue 11: The artist is the person who lives in the orange house.\nClue 12: The person who drives the BMW is the person who likes phoenixes.\nClue 13: The person who drives the Bajaj is the person who drives the Mercedes.\nClue 14: The oboe player is somewhere to the left of the person who owns a Versace.\nClue 15: The person who lives in the beige house is next to the person who lives in the orange house.\nClue 16: The person who likes curry is the person who drives the Bajaj.\nClue 17: The person who reads humor books is somewhere in between the person who likes kebabs and the person who drives the Bajaj in that order.\nClue 18: Mandy is not the person who drives the McLaren.\nClue 19: The saxophone player is not Mohan.\nClue 20: The person who likes kebabs is Doug.\nClue 21: The person who likes dragonflies is somewhere in between the person who drinks lemonade and the person who likes kebabs in that order.\nClue 22: The piano player is not the person who likes viperfish.\nClue 23: The dancer is somewhere to the left of the artist.\nClue 24: The person who likes Rubies is immediately to the left of the person who lives in the magenta house.\nClue 25: The person who reads humor books is not the Australian.\nClue 26: The person who likes Powerade is immediately to the left of the person who likes Pepsi.\nClue 27: The person who drives the Buell is the person who drives the Ferrari.\nClue 28: The Russian is the person who reads humor books.\nClue 29: The person who likes Gatorade is immediately to the left of the person who drives the Kawasaki.\nClue 30: The person who owns a Balenciaga is somewhere in between the person who reads short story books and the Chinese in that order.\nClue 31: The dancer is immediately to the left of the programmer.\nClue 32: The person who owns a Tory Burch is the person who drives the Suzuki.\nClue 33: The person who eats apples is somewhere to the left of the person who eats mangoes.\nClue 34: The flute player is not the person who likes dragonflies.\nClue 35: The person who likes Emeralds is somewhere in between the baseball player and the person who smokes Blue Master in that order.\nClue 36: The volleyball player is the person who likes Rubies.\nClue 37: The person who supports the Mavericks is the person who eats apples.\nClue 38: The person who drinks hot chocolate is somewhere to the left of the person who owns a Balenciaga.\nClue 39: The person who reads humor books is somewhere in between the person who likes kebabs and the person who likes pigs in that order.\nClue 40: The person who drives the Benelli is at one of the ends.\nClue 41: The person who smokes Davidoff is the person who likes Jade.\nClue 42: The person who likes 7up is the person who reads history books.\nClue 43: The person who owns a Tory Burch is the person who drives the McLaren.\nClue 44: The person who reads science fiction books is somewhere in between the person who likes Pepsi and Mohan in that order.\nClue 45: The saxophone player is immediately to the left of the person who likes kudus.\nClue 46: The person who lives in the purple house is immediately to the left of the person who likes Gypsum.\nClue 47: The person who smokes Marlboro is at one of the ends.\nClue 48: The person who likes Gatorade is immediately to the left of the flute player.\nClue 49: The person who smokes Blends is immediately to the left of the person who supports the Suns.\nClue 50: The person who owns a Gucci is somewhere to the left of Doug.\nClue 51: The oboe player is somewhere in between the person who reads fantasy books and the person who drives the Ducati in that order.\nClue 52: The person who drives the Honda is somewhere in between the person who likes kebabs and the person who drives the Bajaj in that order.\nClue 53: The person who reads history books is not Joseph.\nClue 54: The person who drinks hot chocolate is not the person who drives the Ducati.\nClue 55: The person who likes pizza is somewhere in between the guitar player and the Chinese in that order.\nClue 56: The person who lives in the indigo house is the table tennis player.\nClue 57: The person who drives the Toyota is not the Chinese.\nClue 58: The oboe player is somewhere to the left of the harp player.\nClue 59: The person who likes Powerade is the person who drinks lemonade.\nClue 60: The person who likes pasta is not the person who owns a Tory Burch.\nClue 61: Mohan is at one of the ends.\nClue 62: The person who supports the Suns is the programmer.\nClue 63: The person who likes fried rice is immediately to the left of the person who owns a Tory Burch.\nClue 64: The piano player is the person who likes fried rice.\nClue 65: The person who reads science fiction books is the person who drinks milk.\nClue 66: The person who likes Emeralds is the person who smokes Camel.\nClue 67: The person who likes Fanta is next to the person who owns a Tumi.\nClue 68: The person who likes Sprite is not the person who drives the Ferrari.\nClue 69: The person who likes curry is at one of the ends.\nClue 70: The person who reads history books is at one of the ends.\nClue 71: The person who smokes Marlboro is somewhere to the left of the person who supports the Lakers.\nClue 72: The person who reads romance books is immediately to the left of the person who drinks hot chocolate.\nClue 73: The person who drives the Benelli is at one of the ends.\nClue 74: The person who owns a Tory Burch is immediately to the left of the person who drinks beer.\nClue 75: The flute player is the person who drives the Honda.\nClue 76: The person who reads science fiction books is not the person who likes pasta.\nClue 77: The person who drives the BMW is not the person who owns a Polo Ralph Lauren.\nClue 78: The person who likes Gypsum is somewhere in between the person who eats bananas and the squash player in that order.\nClue 79: The person who likes Pepsi is the person who drinks hot chocolate.\nClue 80: The person who reads short story books is somewhere in between the Pakistani and the person who owns a Tory Burch in that order.\nClue 81: The person who supports the Warriors is the actor.\nClue 82: The person who drives the Mercedes is Mohan.\nClue 83: The person who likes kebabs is not the person who drives the Mercedes.\nClue 84: The person who likes Sprite is somewhere in between the person who likes Gatorade and the Chinese in that order.\nClue 85: The person who likes viperfish is immediately to the left of the Mexican.\nClue 86: The person who eats bananas is at one of the ends.\nClue 87: The person who drinks milk is next to the person who reads humor books.\nClue 88: The person who reads history books is at one of the ends.\nClue 89: The person who drinks lemonade is immediately to the left of the person who owns a Gucci.\nClue 90: The Russian is somewhere in between the Belarusian and the harp player in that order.\nClue 91: The person who lives in the purple house is immediately to the left of the dancer.\nClue 92: The person who drinks lemonade is the person who owns a Tumi.\nClue 93: The person who drives the Mercedes is at one of the ends.\nClue 94: The oboe player is the person who likes pizza.\nClue 95: The person who drives the Buell is somewhere to the left of the person who likes kebabs.\nClue 96: The person who reads spiritual books is not the person who owns a Tumi.\nClue 97: The person who likes 7up is Mohan.\nClue 98: The person who drinks iced coffee is not the person who owns a Polo Ralph Lauren.\nClue 99: The person who eats raspberries is next to the person who likes Dolomites.\nClue 100: The Belarusian is next to the person who drives the BMW.\nClue 101: The singer is the baseball player.\nClue 102: The person who likes Gatorade is the Australian.\nClue 103: The flute player is not the person who drives the Ducati.\nClue 104: The flute player is immediately to the left of Mohan.\nClue 105: The artist is at one of the ends.\nClue 106: The person who drives the Kia is at one of the ends.\nClue 107: The artist is the person who likes Ambers.\nClue 108: The person at the 6th position is immediately to the left of the person who smokes Blue Master.\nClue 109: The person who reads science fiction books is immediately to the left of the Russian.\nClue 110: Doug is somewhere in between the person who drives the Toyota and the person who likes 7up in that order.\nClue 111: The basketball player is immediately to the left of the person who supports the Knicks.\nClue 112: The person who likes Canada Dry is not the person who drinks tea.\nClue 113: The person who drives the Toyota is immediately to the left of the person who owns a Tory Burch.\nClue 114: The person who likes Rubies is the programmer.\nClue 115: The person who lives in the purple house is at one of the ends.\nClue 116: The person who likes fried rice is not the person who reads history books.\nClue 117: The Belarusian is next to the person who likes pasta.\nClue 118: The saxophone player is immediately to the left of the person who drives the Kawasaki.\nClue 119: The actor is somewhere to the left of the person who likes Pearls.\nClue 120: The person who likes noodles is somewhere in between the person who likes coyotes and Mohan in that order.\nClue 121: The person who owns a Polo Ralph Lauren is the harp player.\nClue 122: The person who likes viperfish is somewhere in between the Pakistani and the person who likes fried rice in that order.\nClue 123: The person who lives in the green house is the person who supports the Celtics.\nClue 124: The person who eats blackberries is the person who smokes Blue Master.\nClue 125: The spy is next to the person who likes Ambers.\nClue 126: The person who supports the Suns is immediately to the left of the person who smokes Salem.\nClue 127: The person who drives the Suzuki is somewhere to the left of the person who drives the Honda.\nClue 128: The Chinese is at one of the ends.\nClue 129: The Malaysian is not the person who drinks lemonade.\nClue 130: The badminton player is at one of the ends.\nClue 131: The person who likes kebabs is somewhere in between the person who likes fried rice and the person who likes kudus in that order.\nClue 132: The person who likes noodles is the person who reads humor books.\nClue 133: The person who supports the Lakers is next to the person who smokes Davidoff.\nClue 134: The soccer player is the actor.\nClue 135: The Chinese is at one of the ends.\nClue 136: Mohan is at one of the ends.\nClue 137: The basketball player is the person who supports the Celtics.\nClue 138: The person who likes dragonflies is not the person who likes kebabs.\nClue 139: The person who likes Pepsi is next to the person who likes Canada Dry.\nClue 140: The person who drives the Buell is somewhere to the left of the person who likes kudus.\nClue 141: The person who drives the BMW is the person who owns a Tumi.\nClue 142: The programmer is immediately to the left of the baseball player.\n\nQuestion: What position is the dancer at?",
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    "id": "bbeh:zebra_puzzles:042",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone lives in a different colored house: orange, blue, green, teal, pink, violet, brown.\nEveryone smokes a different cigarette: Dunhill, Newport, Blends, Blue Master, Camel, Winston, Pall Mall.\nEveryone likes a different favorite animal: beavers, mules, worms, oscars, puffins, camels, amberjacks.\nEveryone plays a different musical instrument: oboe, piano, guitar, harp, drums, violin, cello.\nEveryone has a different favorite hobby: juggling, kite flying, wood carving, knitting, video games, archery, stamp collecting.\nEveryone drinks a different drink: tea, coffee, iced tea, lemonade, milk, orange juice, water.\nEveryone likes a different physical activity: biking, swimming, bungee jumping, base jumping, paragliding, scuba diving, hiking.\nEveryone has a different favorite soft drink: Gatorade, Coke, Sprite, Limca, Fanta, Mountain Dew, 7up.\nEveryone drives a different car: Ford, Mercedes, Ferrari, McLaren, Kia, Tesla, Hyundai.\nEveryone likes a different food: fried rice, curry, soups, sandwiches, pizza, noodles, kebabs.\nEveryone owns a different handbag brand: Kate Spade, Tumi, Coach, Polo Ralph Lauren, Versace, Balenciaga, Gucci.\nEveryone likes a different fruit: strawberries, grapes, mangoes, pears, raspberries, blackberries, apples.\nEveryone reads a different genre of books: short story, romance, spiritual, humor, science fiction, history, magical realism.\nEveryone likes a different type of flower: daffodils, peonies, tulips, begonias, marigolds, daisies, lilies.\nEveryone is a different nationality: Pakistani, Hungarian, Sri Lankan, Bangladeshi, American, Chinese, Portuguese.\nEveryone supports a different NBA team: Celtics, Lakers, Mavericks, Bucks, Cavaliers, Warriors, Hawks.\nEveryone likes a different type of gemstone: Topaz, Ambers, Diamonds, Corals, Moonstones, Rubies, Opals.\nEveryone has a different name: Tao, Maven, Ahmed, Jackson, Mallika, Mohsen, Michael.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Dunhill is the person who likes Sprite.\nClue 2: The person who likes fried rice is the person who drinks lemonade.\nClue 3: The person who likes peonies is the person who smokes Winston.\nClue 4: The person who likes Mountain Dew is the person who drinks water.\nClue 5: The person who likes Coke is the person who likes paragliding.\nClue 6: The Pakistani is the person who likes Coke.\nClue 7: The person who lives in the orange house is at one of the ends.\nClue 8: The person who likes begonias is somewhere in between the person who supports the Celtics and the person who reads spiritual books in that order.\nClue 9: The person who drinks orange juice is at one of the ends.\nClue 10: Maven is somewhere in between the person who drinks tea and the person who likes begonias in that order.\nClue 11: Jackson is not the person who drinks orange juice.\nClue 12: The guitar player is immediately to the left of the person who likes beavers.\nClue 13: The person who reads spiritual books is somewhere to the left of the person who likes daffodils.\nClue 14: The person who lives in the blue house is next to the person who eats blackberries.\nClue 15: The person who drinks orange juice is at one of the ends.\nClue 16: The person who supports the Mavericks is next to the person who likes bungee jumping.\nClue 17: The person who likes Topaz is somewhere to the left of the person who likes paragliding.\nClue 18: The person who smokes Dunhill is somewhere to the left of the person who likes Diamonds.\nClue 19: The Chinese is next to the person who likes swimming.\nClue 20: Mallika is somewhere to the left of the person who drinks iced tea.\nClue 21: The Pakistani is at one of the ends.\nClue 22: The person who likes puffins is somewhere in between the person who likes oscars and the person who drives the Ferrari in that order.\nClue 23: The person who likes swimming is somewhere in between the person who supports the Hawks and the person who smokes Dunhill in that order.\nClue 24: The person who lives in the green house is the person who likes worms.\nClue 25: The Sri Lankan is not the person who supports the Warriors.\nClue 26: The person who smokes Winston is not the person who drinks iced tea.\nClue 27: The person who smokes Newport is next to the person who drinks water.\nClue 28: The person who likes kite flying is somewhere in between the person who drives the Ferrari and the person who lives in the orange house in that order.\nClue 29: The person who likes marigolds is not Maven.\nClue 30: The Portuguese is immediately to the left of the person who smokes Dunhill.\nClue 31: The person who eats strawberries is at one of the ends.\nClue 32: The person who likes Opals is somewhere to the left of the person who drinks iced tea.\nClue 33: The person who lives in the blue house is somewhere in between the person who owns a Tumi and the person who owns a Coach in that order.\nClue 34: The person who likes pizza is next to the person who likes lilies.\nClue 35: The person who likes Sprite is somewhere in between the person who likes Gatorade and the person who drinks lemonade in that order.\nClue 36: Mallika is somewhere in between Michael and the person who smokes Pall Mall in that order.\nClue 37: The person who eats apples is the person who lives in the pink house.\nClue 38: The person who likes Corals is immediately to the left of the person who likes Topaz.\nClue 39: The person who likes video games is the oboe player.\nClue 40: The person who likes juggling is somewhere in between the person who owns a Gucci and the person who eats pears in that order.\nClue 41: The person who likes Gatorade is the American.\nClue 42: The person who drives the Hyundai is immediately to the left of the person who lives in the orange house.\nClue 43: The person who drives the Hyundai is the violin player.\nClue 44: The American is not the person who likes Opals.\nClue 45: The person who likes amberjacks is the person who owns a Kate Spade.\nClue 46: The person who reads science fiction books is Mohsen.\nClue 47: The person who likes worms is the oboe player.\nClue 48: The person who reads short story books is next to the person who likes Fanta.\nClue 49: The American is the person who likes Rubies.\nClue 50: The person who drinks milk is at one of the ends.\nClue 51: The person who eats apples is the harp player.\nClue 52: The person who likes Corals is the person who likes Sprite.\nClue 53: Mallika is not the person who likes Ambers.\nClue 54: The person who likes beavers is somewhere to the left of the person who owns a Kate Spade.\nClue 55: The person who likes camels is next to the person who likes video games.\nClue 56: The person who likes Mountain Dew is not the person who likes bungee jumping.\nClue 57: The person who likes curry is the person who smokes Blends.\nClue 58: The person who likes noodles is the person who likes Sprite.\nClue 59: The person who eats raspberries is immediately to the left of the guitar player.\nClue 60: The person who supports the Celtics is somewhere in between the person who drinks tea and the person who likes pizza in that order.\nClue 61: The person who likes biking is immediately to the left of the person who likes kebabs.\nClue 62: The person who reads spiritual books is immediately to the left of the person who likes paragliding.\nClue 63: The person who likes daisies is the person who likes curry.\nClue 64: The person who drinks orange juice is at one of the ends.\nClue 65: The person who smokes Dunhill is next to the person who drinks tea.\nClue 66: The Sri Lankan is at one of the ends.\nClue 67: The person who supports the Cavaliers is somewhere to the left of Maven.\nClue 68: The person who likes biking is somewhere to the left of the Portuguese.\nClue 69: The person who likes sandwiches is not the Portuguese.\nClue 70: The person who owns a Tumi is next to the person who drives the Tesla.\nClue 71: The person who likes daffodils is not Mallika.\nClue 72: The person who likes Sprite is somewhere in between the person who likes curry and the person who reads spiritual books in that order.\nClue 73: The person who likes daisies is at one of the ends.\nClue 74: The person who likes Rubies is not the person who supports the Cavaliers.\nClue 75: The Chinese is not the person who reads humor books.\nClue 76: The person who likes 7up is not the person who drinks water.\nClue 77: The Pakistani is next to the person who reads spiritual books.\nClue 78: Tao is immediately to the left of the person who likes marigolds.\nClue 79: The person who owns a Tumi is next to the person who drives the Ford.\nClue 80: The person who smokes Newport is somewhere in between the person who likes Topaz and the person who likes paragliding in that order.\nClue 81: The person who drinks lemonade is somewhere in between the person who smokes Blue Master and the person who supports the Bucks in that order.\nClue 82: The person who likes archery is next to the person who eats raspberries.\nClue 83: The person who likes paragliding is next to the person who likes Ambers.\nClue 84: The person who likes fried rice is somewhere in between the person who likes bungee jumping and the person who likes paragliding in that order.\nClue 85: The person who lives in the brown house is the person who likes kite flying.\nClue 86: The person who supports the Mavericks is somewhere in between the person who reads short story books and the person who likes base jumping in that order.\nClue 87: The person who drives the Kia is immediately to the left of the person who likes juggling.\nClue 88: The person who likes Sprite is somewhere in between the person who likes kebabs and the Pakistani in that order.\nClue 89: The person who likes Moonstones is not the person who smokes Pall Mall.\nClue 90: The person who reads spiritual books is immediately to the left of the person who likes daffodils.\nClue 91: Mohsen is the person who reads science fiction books.\nClue 92: The person who drinks tea is the person who supports the Cavaliers.\nClue 93: The person who likes wood carving is immediately to the left of the person who owns a Balenciaga.\nClue 94: The person who likes kebabs is somewhere in between the person who likes Moonstones and Jackson in that order.\nClue 95: Ahmed is the person who supports the Lakers.\nClue 96: The person who likes lilies is the person who smokes Dunhill.\nClue 97: Mohsen is not the person who likes Diamonds.\nClue 98: Michael is immediately to the left of the person who reads history books.\nClue 99: The person who drinks iced tea is immediately to the left of the person who likes begonias.\nClue 100: The person who likes 7up is not the person who supports the Lakers.\nClue 101: The person who likes begonias is the person who likes pizza.\nClue 102: The person who drinks orange juice is the person who likes scuba diving.\nClue 103: The person who drinks iced tea is next to the person who likes Topaz.\nClue 104: The person who likes peonies is somewhere in between Michael and the person who smokes Dunhill in that order.\nClue 105: The person who likes wood carving is next to the cello player.\nClue 106: The person who likes Fanta is not the person who likes noodles.\nClue 107: The person who likes knitting is the person who drives the Mercedes.\nClue 108: The person who owns a Versace is immediately to the left of the person who owns a Coach.\nClue 109: The person who likes marigolds is immediately to the left of the Pakistani.\nClue 110: Maven is next to the person who supports the Cavaliers.\nClue 111: The person who likes knitting is next to the person who owns a Balenciaga.\nClue 112: The person who likes daisies is the person who reads science fiction books.\nClue 113: The person who drinks orange juice is Mohsen.\nClue 114: Ahmed is somewhere to the left of the person who likes soups.\nClue 115: The person who lives in the teal house is immediately to the left of the person who eats mangoes.\nClue 116: Maven is not the person who likes kebabs.\nClue 117: The person who drives the Hyundai is the person who likes beavers.\nClue 118: The person who drinks milk is at one of the ends.\nClue 119: The person who supports the Lakers is not the person who drinks milk.\nClue 120: The person who likes worms is at one of the ends.\nClue 121: The drums player is the person who owns a Gucci.\nClue 122: The person who likes peonies is somewhere in between the person who likes daisies and the person who supports the Mavericks in that order.\nClue 123: The Sri Lankan is somewhere to the left of the person who supports the Cavaliers.\nClue 124: The person who likes kite flying is somewhere to the left of the person who drives the Mercedes.\nClue 125: The person who drinks lemonade is somewhere in between the person who smokes Blue Master and Jackson in that order.\nClue 126: The person who eats apples is somewhere in between the person at the 2nd position and the person who drives the Ford in that order.\nClue 127: The person who reads history books is somewhere in between the person who likes Gatorade and the person who likes Sprite in that order.\nClue 128: The person who supports the Hawks is immediately to the left of Michael.\nClue 129: Michael is immediately to the left of the Portuguese.\nClue 130: The person who likes scuba diving is Mohsen.\nClue 131: The person who likes biking is not the person who drinks milk.\nClue 132: The person who likes daffodils is at one of the ends.\nClue 133: The person who likes begonias is somewhere in between the person who likes lilies and the Bangladeshi in that order.\nClue 134: The person who likes Gatorade is the person who supports the Warriors.\nClue 135: The person who likes soups is at one of the ends.\nClue 136: The person who owns a Balenciaga is next to the person who owns a Coach.\n\nQuestion: What position is the person who drives the Hyundai at?",
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    "family": "6a28b1c9c327e244073987ea19ee9ce68d8f46ca5e5ec742d9601a60c21bbde8",
    "id": "bbeh:zebra_puzzles:043",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone owns a different handbag brand: Tumi, Coach, Tory Burch, Dolce and Gabbana, Balenciaga.\nEveryone supports a different NBA team: Cavaliers, Bulls, Celtics, Warriors, Mavericks.\nEveryone lives in a different colored house: violet, green, magenta, brown, silver.\nEveryone likes a different type of gemstone: Sapphires, Amethysts, Diamonds, Aquamarines, Dolomites.\nEveryone has a different profession: actor, artist, designer, singer, programmer.\nEveryone has a different favorite hobby: wood carving, gardening, metal detecting, bird watching, crocheting.\nEveryone supports a different NFL team: Pittsburgh Steelers, Los Angeles Rams, Detroit Lions, Carolina Panthers, Miami Dolphins.\nEveryone has a different favorite soft drink: Powerade, Mountain Dew, Canada Dry, Coke, Sprite.\nEveryone likes a different fruit: blackberries, grapes, bananas, apples, raspberries.\nEveryone drinks a different drink: tea, iced coffee, coffee, lemonade, milk.\nEveryone drives a different motorbike: Benelli, Piaggio, Honda, Bajaj, Ducati.\nEveryone likes a different physical activity: bungee jumping, skiing, paragliding, scuba diving, biking.\nEveryone has a different name: Karan, Noah, Doug, Nour, Mandy.\nEveryone is a different nationality: Brit, Belarusian, Swede, Portuguese, Korean.\nEveryone reads a different genre of books: fantasy, spiritual, magical realism, romance, science fiction.\nEveryone drives a different car: Kia, Honda, Ferrari, Hyundai, Tesla.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The designer is immediately to the left of Karan.\nClue 2: The person who drives the Piaggio is the person who supports the Detroit Lions.\nClue 3: The person who supports the Pittsburgh Steelers is at one of the ends.\nClue 4: The person who lives in the green house is somewhere to the left of the person who supports the Cavaliers.\nClue 5: The person who supports the Pittsburgh Steelers is immediately to the left of the person who drives the Piaggio.\nClue 6: The person who drives the Hyundai is at one of the ends.\nClue 7: The person who drives the Kia is the person who drinks lemonade.\nClue 8: The person who eats raspberries is not the person who likes bird watching.\nClue 9: Noah is at one of the ends.\nClue 10: The person who drives the Ferrari is the person who eats grapes.\nClue 11: The person who likes gardening is somewhere to the left of the person who drives the Honda.\nClue 12: The person who likes metal detecting is at one of the ends.\nClue 13: The person who drives the Ferrari is somewhere in between the person who drinks lemonade and the person who eats bananas in that order.\nClue 14: The artist is the person who likes skiing.\nClue 15: The person who owns a Tory Burch is the person who lives in the magenta house.\nClue 16: The person who likes Powerade is the person at the 5th position.\nClue 17: The Brit is the person who drives the Tesla.\nClue 18: The person who lives in the brown house is not the person who drinks milk.\nClue 19: The person who reads magical realism books is somewhere in between the person who drives the Kia and the person who owns a Coach in that order.\nClue 20: The person who drinks lemonade is not the person who eats raspberries.\nClue 21: The person who drives the Tesla is the person who drives the Ducati.\nClue 22: The person who drives the Ferrari is not the person who lives in the magenta house.\nClue 23: The person who lives in the violet house is somewhere in between the person who lives in the green house and the person who drives the Bajaj in that order.\nClue 24: The person who drinks milk is at one of the ends.\nClue 25: The person who supports the Mavericks is not the person who supports the Carolina Panthers.\nClue 26: The person who owns a Coach is the person who eats bananas.\nClue 27: The person who likes bird watching is somewhere to the left of the person who reads science fiction books.\nClue 28: The person who likes crocheting is at one of the ends.\nClue 29: The person who likes wood carving is somewhere in between the person who drives the Tesla and the person who reads romance books in that order.\nClue 30: The person who supports the Cavaliers is the person who likes bird watching.\nClue 31: The person who owns a Dolce and Gabbana is immediately to the left of the person who drives the Benelli.\nClue 32: The programmer is next to the person who likes scuba diving.\nClue 33: The person who drives the Ducati is not the person who reads spiritual books.\nClue 34: The person who drives the Kia is next to the person who eats raspberries.\nClue 35: The person who likes Dolomites is the person who likes Mountain Dew.\nClue 36: The person who drinks lemonade is the person who supports the Detroit Lions.\nClue 37: The person who reads spiritual books is not the Korean.\nClue 38: The person who drinks tea is somewhere in between the Belarusian and the Swede in that order.\nClue 39: The person who owns a Dolce and Gabbana is immediately to the left of the person who drives the Hyundai.\nClue 40: The person who likes Diamonds is next to Noah.\nClue 41: The Brit is the person who owns a Balenciaga.\nClue 42: The person who reads magical realism books is not the person who supports the Los Angeles Rams.\nClue 43: The person who likes bird watching is the person who drives the Honda.\nClue 44: The person who lives in the magenta house is somewhere in between the person who drinks lemonade and the person who drives the Honda in that order.\nClue 45: The person who lives in the brown house is next to the person who eats grapes.\nClue 46: The person who likes gardening is the person who drinks tea.\nClue 47: The person at the 2nd position is somewhere to the left of Karan.\nClue 48: The person who drinks milk is not the person who likes gardening.\nClue 49: The person who reads science fiction books is not the Belarusian.\nClue 50: The person who drives the Bajaj is the person who drives the Honda.\nClue 51: The person who likes metal detecting is not the person who eats grapes.\nClue 52: Doug is immediately to the left of the artist.\nClue 53: The person who supports the Cavaliers is somewhere in between the person who eats blackberries and the person who drinks iced coffee in that order.\nClue 54: The person who eats blackberries is not the person who reads romance books.\nClue 55: Nour is next to the person who likes Diamonds.\nClue 56: The person who owns a Tumi is not the person who drinks milk.\nClue 57: The person who owns a Tumi is somewhere to the left of the person who supports the Warriors.\nClue 58: The Swede is the person who drinks iced coffee.\nClue 59: The person who supports the Los Angeles Rams is somewhere in between the person who likes gardening and the person who drives the Benelli in that order.\nClue 60: The person who eats blackberries is not the Brit.\nClue 61: The person who drives the Ducati is at one of the ends.\nClue 62: Noah is the actor.\nClue 63: The person who eats raspberries is not the person who drives the Kia.\nClue 64: The person who likes bird watching is next to the person who supports the Miami Dolphins.\nClue 65: The person who supports the Celtics is not the Swede.\nClue 66: The person who likes Coke is somewhere to the left of the person at the 4th position.\nClue 67: The Korean is somewhere to the left of the person who drinks iced coffee.\nClue 68: The person who drives the Kia is not the person who drives the Honda.\nClue 69: The person who reads fantasy books is not the person who lives in the magenta house.\nClue 70: The person who reads fantasy books is the person who drives the Tesla.\nClue 71: The person who likes bungee jumping is the singer.\nClue 72: The person who likes metal detecting is at one of the ends.\nClue 73: The person who drives the Piaggio is immediately to the left of the person who drives the Bajaj.\nClue 74: The person who supports the Pittsburgh Steelers is at one of the ends.\nClue 75: The person who lives in the green house is at one of the ends.\nClue 76: The person who lives in the violet house is not the person who drinks milk.\nClue 77: The person who supports the Pittsburgh Steelers is the person who lives in the green house.\nClue 78: The person who lives in the green house is next to the person who supports the Detroit Lions.\nClue 79: The person who supports the Mavericks is next to the Brit.\nClue 80: The person who supports the Cavaliers is somewhere in between the person who supports the Celtics and the person who supports the Miami Dolphins in that order.\nClue 81: The person who eats raspberries is the Brit.\nClue 82: The person who drives the Benelli is at one of the ends.\nClue 83: The person who lives in the green house is at one of the ends.\nClue 84: The person who lives in the magenta house is immediately to the left of the person who drives the Honda.\nClue 85: The person who eats grapes is somewhere in between the person who drinks tea and the person who supports the Warriors in that order.\nClue 86: The person who likes Aquamarines is at one of the ends.\nClue 87: The person who likes Diamonds is somewhere to the left of the actor.\nClue 88: The person who likes paragliding is somewhere to the left of the actor.\nClue 89: The person who drives the Bajaj is the person who supports the Carolina Panthers.\nClue 90: The person who likes biking is somewhere to the left of the person who likes Aquamarines.\nClue 91: The person who supports the Mavericks is not the person who reads romance books.\nClue 92: The Korean is next to the person who owns a Tumi.\nClue 93: The Swede is next to the Portuguese.\nClue 94: The person who drives the Honda is not the person who supports the Los Angeles Rams.\nClue 95: The person who eats bananas is the person who drives the Hyundai.\nClue 96: The person who owns a Coach is next to the person who supports the Cavaliers.\nClue 97: The person who likes Mountain Dew is immediately to the left of the person who likes biking.\nClue 98: The person who lives in the silver house is the person who supports the Cavaliers.\nClue 99: The person who drives the Honda is not the person who drives the Honda.\nClue 100: The person who owns a Tory Burch is the person who drives the Bajaj.\nClue 101: The person who drinks lemonade is next to the person who owns a Balenciaga.\nClue 102: The person who supports the Carolina Panthers is immediately to the left of the person who drives the Ferrari.\nClue 103: The person who supports the Cavaliers is somewhere to the left of the person who drives the Hyundai.\nClue 104: The person who likes Amethysts is the person who likes Canada Dry.\nClue 105: The person who likes Sapphires is the person who likes biking.\nClue 106: The person who supports the Mavericks is next to the person who owns a Tory Burch.\nClue 107: The person who supports the Carolina Panthers is somewhere to the left of the person who lives in the silver house.\nClue 108: The Swede is at one of the ends.\nClue 109: The person who supports the Cavaliers is somewhere in between the person who likes wood carving and the person who eats bananas in that order.\nClue 110: The person who drives the Piaggio is somewhere in between the person who supports the Pittsburgh Steelers and the person who owns a Tory Burch in that order.\nClue 111: The person who supports the Celtics is not the person who eats grapes.\nClue 112: The person who drives the Ducati is somewhere to the left of the person who owns a Tory Burch.\nClue 113: The person who eats blackberries is the person who reads magical realism books.\nClue 114: The person who lives in the silver house is somewhere in between the person who eats apples and the person who drinks iced coffee in that order.\nClue 115: The person who reads magical realism books is not the person who supports the Cavaliers.\nClue 116: The person who lives in the brown house is not the person who reads romance books.\nClue 117: The person who owns a Dolce and Gabbana is the person who drives the Honda.\nClue 118: The person who drives the Ferrari is somewhere in between the person who eats blackberries and the person who likes crocheting in that order.\nClue 119: The Korean is not the person who drives the Kia.\nClue 120: The person who likes crocheting is the person who lives in the brown house.\n\nQuestion: What position is Nour at?",
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    "id": "bbeh:zebra_puzzles:067",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different favorite animal: songbirds, turtles, worms, doves, panda bears, lions, moose.\nEveryone owns a different handbag brand: Versace, Balenciaga, Polo Ralph Lauren, Tory Burch, Gucci, Kate Spade, Coach.\nEveryone drives a different motorbike: Bajaj, Honda, Ducati, Piaggio, Suzuki, Buell, Benelli.\nEveryone likes a different type of gemstone: Dolomites, Ambers, Gypsum, Pearls, Corals, Opals, Moonstones.\nEveryone drinks a different drink: orange juice, milk, iced coffee, water, coffee, beer, lemonade.\nEveryone smokes a different cigarette: Blue Master, Blends, Dunhill, Winston, Pall Mall, Newport, Camel.\nEveryone has a different favorite soft drink: Gatorade, Limca, 7up, Mirinda, Sprite, Canada Dry, Powerade.\nEveryone supports a different NBA team: Warriors, Knicks, Lakers, Hawks, Suns, Bulls, Mavericks.\nEveryone has a different name: Jones, Bob, Drew, Mohsen, Mallika, Randy, Tao.\nEveryone plays a different musical instrument: drums, flute, harp, harmonica, cello, oboe, saxophone.\nEveryone lives in a different colored house: silver, yellow, cyan, white, black, brown, beige.\nEveryone supports a different NFL team: Chicago Bears, Seattle Seahawks, Miami Dolphins, Detroit Lions, New England Patriots, Arizona Cardinals, San Francisco 49ers.\nEveryone likes a different food: fried rice, burgers, kebabs, soups, curry, pizza, noodles.\nEveryone reads a different genre of books: history, science fiction, magical realism, fantasy, mystery, short story, humor.\nEveryone likes a different fruit: oranges, apples, pears, raspberries, grapes, blackberries, strawberries.\nEveryone has a different profession: writer, programmer, chef, designer, singer, doctor, spy.\nEveryone has a different favorite hobby: biking, fishing, cheese making, skiing, bird watching, knitting, dancing.\nEveryone plays a different sport: soccer, basketball, table tennis, cricket, badminton, tennis, volleyball.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Coach is the person who reads science fiction books.\nClue 2: The person who lives in the white house is not the person who likes Powerade.\nClue 3: The person who likes fried rice is somewhere in between the person who smokes Camel and the person who reads fantasy books in that order.\nClue 4: The person who supports the Mavericks is the person who drinks water.\nClue 5: The person who likes fishing is somewhere in between the person who supports the Miami Dolphins and the person who drives the Piaggio in that order.\nClue 6: The person who eats apples is not the drums player.\nClue 7: The person who drinks iced coffee is the person who drives the Buell.\nClue 8: The person who supports the Hawks is immediately to the left of the person who likes dancing.\nClue 9: Mohsen is the person who reads history books.\nClue 10: The person who likes fried rice is the person who smokes Newport.\nClue 11: The cricket player is immediately to the left of the person who owns a Kate Spade.\nClue 12: The person who owns a Gucci is next to the person who smokes Camel.\nClue 13: The person who likes doves is immediately to the left of the person who owns a Gucci.\nClue 14: The person who likes biking is somewhere in between the person who lives in the yellow house and the person who likes bird watching in that order.\nClue 15: The person who likes burgers is immediately to the left of the person who smokes Blue Master.\nClue 16: The oboe player is the person who likes Dolomites.\nClue 17: The person who lives in the yellow house is immediately to the left of the person who drinks orange juice.\nClue 18: The cello player is somewhere in between the person who supports the Miami Dolphins and the person who eats raspberries in that order.\nClue 19: The person who likes lions is next to the table tennis player.\nClue 20: The person who drinks water is somewhere in between the harmonica player and the person who supports the Chicago Bears in that order.\nClue 21: The person who drives the Suzuki is somewhere in between the person who supports the Miami Dolphins and the person who lives in the silver house in that order.\nClue 22: The person who eats raspberries is at one of the ends.\nClue 23: The person who drinks iced coffee is immediately to the left of the person who drinks water.\nClue 24: The person who likes pizza is immediately to the left of the person who owns a Gucci.\nClue 25: The person who supports the Miami Dolphins is next to the person who likes Dolomites.\nClue 26: The person who likes dancing is somewhere to the left of the person who drinks milk.\nClue 27: The harp player is the person who drinks milk.\nClue 28: The person who drives the Buell is not the person who likes Mirinda.\nClue 29: The person who likes kebabs is next to the person who reads science fiction books.\nClue 30: The person who likes Sprite is immediately to the left of the cello player.\nClue 31: The person who supports the New England Patriots is the person who supports the Knicks.\nClue 32: The person who supports the Suns is immediately to the left of the person who eats grapes.\nClue 33: The person who likes dancing is somewhere in between the person who drinks beer and the person who lives in the brown house in that order.\nClue 34: The person who smokes Winston is the person who likes turtles.\nClue 35: The person who likes Gypsum is not the harmonica player.\nClue 36: The person who lives in the beige house is not the person who supports the Warriors.\nClue 37: The person who reads humor books is immediately to the left of the person who smokes Camel.\nClue 38: The person who drives the Ducati is next to the person who supports the Arizona Cardinals.\nClue 39: The person who owns a Tory Burch is the person who reads magical realism books.\nClue 40: The person who eats pears is not the person who drives the Suzuki.\nClue 41: The person who drives the Suzuki is next to the person who drives the Honda.\nClue 42: The person who drinks milk is the person who drives the Piaggio.\nClue 43: The person who likes Sprite is somewhere in between the person who drives the Benelli and the person who supports the Knicks in that order.\nClue 44: The person who eats grapes is somewhere in between the person who supports the San Francisco 49ers and the person who lives in the cyan house in that order.\nClue 45: The person who eats pears is somewhere to the left of the designer.\nClue 46: Randy is somewhere in between the person who owns a Tory Burch and the person who likes moose in that order.\nClue 47: The person who reads short story books is somewhere in between the person who owns a Polo Ralph Lauren and the basketball player in that order.\nClue 48: The person who likes songbirds is at one of the ends.\nClue 49: The person who drives the Honda is at one of the ends.\nClue 50: The person who lives in the silver house is the person who drives the Bajaj.\nClue 51: The person who drinks water is somewhere in between the person who drinks iced coffee and the person who lives in the cyan house in that order.\nClue 52: The person who supports the New England Patriots is somewhere in between the designer and the person who supports the Bulls in that order.\nClue 53: Jones is immediately to the left of the person who smokes Blue Master.\nClue 54: The person who supports the Suns is somewhere to the left of the person who drinks coffee.\nClue 55: The spy is at one of the ends.\nClue 56: The person who smokes Dunhill is the person who reads magical realism books.\nClue 57: The person who smokes Winston is somewhere to the left of the person who smokes Dunhill.\nClue 58: The person who drives the Piaggio is at one of the ends.\nClue 59: The person who supports the Lakers is not the person who drives the Honda.\nClue 60: The person who drives the Suzuki is next to the person who eats oranges.\nClue 61: The person who supports the Arizona Cardinals is somewhere to the left of the programmer.\nClue 62: The person who likes Canada Dry is somewhere in between the person who likes dancing and the person who lives in the cyan house in that order.\nClue 63: The person who likes Powerade is next to the person who likes Ambers.\nClue 64: The person who likes panda bears is somewhere in between Tao and the basketball player in that order.\nClue 65: The person who eats raspberries is at one of the ends.\nClue 66: The person who lives in the yellow house is at one of the ends.\nClue 67: The person who supports the Detroit Lions is the person who lives in the white house.\nClue 68: The person who likes 7up is next to the person who lives in the black house.\nClue 69: The person who drinks coffee is next to the person who drinks milk.\nClue 70: The person who supports the New England Patriots is next to the person who likes Limca.\nClue 71: The person who drives the Honda is next to the oboe player.\nClue 72: The person who supports the New England Patriots is somewhere in between the person who supports the Mavericks and the person who likes Limca in that order.\nClue 73: The person who likes 7up is the person who supports the Hawks.\nClue 74: The person who smokes Pall Mall is Bob.\nClue 75: The person who supports the Warriors is next to the person who likes Corals.\nClue 76: The person who lives in the white house is somewhere to the left of the person who supports the Bulls.\nClue 77: The person who supports the Mavericks is not the person who supports the Miami Dolphins.\nClue 78: The person who drives the Ducati is somewhere in between the person who lives in the silver house and the person who eats raspberries in that order.\nClue 79: The person who drives the Benelli is the harmonica player.\nClue 80: The person who lives in the black house is the person who supports the Seattle Seahawks.\nClue 81: The person who drives the Benelli is next to the person who likes cheese making.\nClue 82: The person who lives in the brown house is not the person who likes Corals.\nClue 83: The person who lives in the brown house is the person who eats oranges.\nClue 84: The person who supports the Suns is the person who drives the Benelli.\nClue 85: The chef is at one of the ends.\nClue 86: The person who supports the New England Patriots is the person who drives the Ducati.\nClue 87: The person who likes soups is somewhere in between the person who owns a Gucci and the person who reads history books in that order.\nClue 88: Bob is at one of the ends.\nClue 89: The person who likes cheese making is not the person who supports the Chicago Bears.\nClue 90: The person who drinks lemonade is somewhere in between the chef and the person who drinks water in that order.\nClue 91: The person who likes Pearls is not the person who likes skiing.\nClue 92: The person who drives the Bajaj is somewhere in between the doctor and the person who eats strawberries in that order.\nClue 93: The person who likes Powerade is the drums player.\nClue 94: The harmonica player is the person who likes Pearls.\nClue 95: The person who supports the San Francisco 49ers is somewhere in between the person who eats blackberries and the harp player in that order.\nClue 96: The singer is somewhere to the left of the person who drinks milk.\nClue 97: The person who likes curry is next to Mohsen.\nClue 98: The person who likes Opals is next to the person who likes Mirinda.\nClue 99: The person who likes Dolomites is somewhere in between the person who likes Opals and the person who likes Corals in that order.\nClue 100: The person who likes Mirinda is not the person who supports the Bulls.\nClue 101: The designer is somewhere in between the person who drinks iced coffee and the programmer in that order.\nClue 102: The harmonica player is next to the person who eats grapes.\nClue 103: The person who supports the Suns is the person who likes Gatorade.\nClue 104: The person who supports the Lakers is not the person who eats raspberries.\nClue 105: The chef is not the person who drives the Piaggio.\nClue 106: The person who drives the Buell is the person who eats grapes.\nClue 107: The person who likes Mirinda is not the programmer.\nClue 108: The person who likes dancing is immediately to the left of the person who likes Pearls.\nClue 109: The person who likes soups is immediately to the left of the person who likes fried rice.\nClue 110: The programmer is somewhere to the left of the person who drives the Piaggio.\nClue 111: The person who owns a Tory Burch is somewhere in between Mallika and the tennis player in that order.\nClue 112: The person who supports the Suns is the singer.\nClue 113: The person who drinks lemonade is the person who likes Pearls.\nClue 114: The person who likes knitting is the person who drives the Bajaj.\nClue 115: The person who likes Corals is somewhere to the left of the person who drinks coffee.\nClue 116: The person who likes skiing is not the person who likes Moonstones.\nClue 117: The person who drives the Ducati is not the person who lives in the yellow house.\nClue 118: The person who smokes Camel is somewhere in between Randy and the person who likes songbirds in that order.\nClue 119: Bob is the table tennis player.\nClue 120: Drew is next to Randy.\nClue 121: The person who likes Mirinda is the person who eats blackberries.\nClue 122: The person who likes Pearls is next to the flute player.\nClue 123: The person who likes turtles is the soccer player.\nClue 124: The person who drives the Honda is immediately to the left of the person who eats blackberries.\nClue 125: The person who owns a Versace is the person who smokes Pall Mall.\nClue 126: The chef is at one of the ends.\nClue 127: The person who likes pizza is immediately to the left of the person who likes kebabs.\nClue 128: The person who owns a Coach is next to the person who reads history books.\nClue 129: The badminton player is next to the soccer player.\nClue 130: The person who likes Powerade is the person who lives in the cyan house.\nClue 131: The person who reads magical realism books is Tao.\nClue 132: The oboe player is somewhere in between the person who likes 7up and the person who supports the San Francisco 49ers in that order.\nClue 133: The person who lives in the brown house is immediately to the left of the person who likes Sprite.\nClue 134: The harmonica player is the person who likes Gatorade.\nClue 135: The person who owns a Tory Burch is immediately to the left of the person who likes kebabs.\nClue 136: Bob is the person who reads fantasy books.\nClue 137: The person who eats strawberries is the person who supports the Knicks.\nClue 138: The person who drives the Ducati is the person who eats strawberries.\nClue 139: The person who likes curry is the person who reads fantasy books.\n\nQuestion: What position is the person who owns a Versace at?",
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    "id": "bbeh:zebra_puzzles:071",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different profession: doctor, teacher, artist, singer, writer, actor, architect.\nEveryone likes a different type of flower: roses, daisies, marigolds, carnations, peonies, daffodils, dahlias.\nEveryone plays a different musical instrument: oboe, harmonica, guitar, piano, flute, drums, cello.\nEveryone drinks a different drink: hot chocolate, milk, iced coffee, coffee, tea, orange juice, water.\nEveryone likes a different type of gemstone: Aquamarines, Gypsum, Amethysts, Corals, Rubies, Opals, Diamonds.\nEveryone has a different favorite hobby: cooking, gardening, photography, wood carving, painting, mixology, sailing.\nEveryone is a different nationality: American, Korean, Iranian, Italian, Mexican, Dane, Irish.\nEveryone plays a different sport: soccer, ice hockey, tennis, badminton, volleyball, table tennis, basketball.\nEveryone owns a different handbag brand: Gucci, Coach, Kate Spade, Versace, Dolce and Gabbana, Tumi, Michael Kors.\nEveryone drives a different car: Mercedes, Honda, Audi, Hyundai, Toyota, BMW, Kia.\nEveryone has a different favorite soft drink: Dr Pepper, Mountain Dew, 7up, Limca, Gatorade, Mirinda, Pepsi.\nEveryone likes a different favorite animal: crows, finches, dolphins, aardvarks, blobfish, crickets, wolverines.\nEveryone likes a different physical activity: running, hiking, base jumping, biking, bungee jumping, swimming, scuba diving.\nEveryone likes a different food: curry, tacos, sandwiches, burgers, kebabs, soups, noodles.\nEveryone drives a different motorbike: Buell, Ducati, Honda, Suzuki, Benelli, Harley-Davidson, Piaggio.\nEveryone lives in a different colored house: teal, red, violet, gold, green, cyan, silver.\nEveryone supports a different NFL team: Dallas Cowboys, Carolina Panthers, Chicago Bears, Buffalo Bills, Cincinnati Bengals, San Francisco 49ers, Atlanta Falcons.\nEveryone has a different name: Bob, Siva, Nour, Mallika, Yair, Alex, Ahmed.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Ducati is somewhere to the left of the person at the 2nd position.\nClue 2: The person who likes soups is not the tennis player.\nClue 3: The person who supports the Cincinnati Bengals is the Iranian.\nClue 4: The person who lives in the green house is the person who likes crickets.\nClue 5: The person who likes finches is at one of the ends.\nClue 6: The person who likes Opals is at one of the ends.\nClue 7: The person who drives the Mercedes is somewhere in between the artist and Ahmed in that order.\nClue 8: The person who likes dolphins is not the architect.\nClue 9: The person who drinks water is the person who likes bungee jumping.\nClue 10: The person who drives the Hyundai is somewhere to the left of the person who likes dahlias.\nClue 11: The person who likes Rubies is next to the person who lives in the red house.\nClue 12: The drums player is at one of the ends.\nClue 13: The basketball player is next to the flute player.\nClue 14: The cello player is somewhere to the left of the badminton player.\nClue 15: The Dane is the person who likes Dr Pepper.\nClue 16: Yair is the person who owns a Tumi.\nClue 17: The writer is the person who likes aardvarks.\nClue 18: The person who supports the Chicago Bears is next to the person who supports the San Francisco 49ers.\nClue 19: The person who likes swimming is at one of the ends.\nClue 20: The person who likes dolphins is at one of the ends.\nClue 21: Nour is somewhere in between the guitar player and the badminton player in that order.\nClue 22: The person who likes roses is somewhere in between the person who owns a Gucci and Bob in that order.\nClue 23: The person who likes Dr Pepper is the person who supports the Carolina Panthers.\nClue 24: The person who drives the BMW is the person who owns a Kate Spade.\nClue 25: The person who likes cooking is at one of the ends.\nClue 26: The person who likes aardvarks is somewhere to the left of the person who likes daisies.\nClue 27: The Dane is the person who likes bungee jumping.\nClue 28: The person who likes roses is somewhere to the left of the drums player.\nClue 29: The person who owns a Gucci is the person who likes dolphins.\nClue 30: The person who lives in the violet house is somewhere in between the person who likes Diamonds and the drums player in that order.\nClue 31: The person who lives in the silver house is at one of the ends.\nClue 32: The person who owns a Kate Spade is immediately to the left of the person who likes wolverines.\nClue 33: Nour is not the person who likes daisies.\nClue 34: The person who likes scuba diving is the person who drives the Buell.\nClue 35: The person who likes photography is the person who drinks milk.\nClue 36: The person who owns a Coach is somewhere in between the person who likes Gypsum and the person who likes tacos in that order.\nClue 37: Ahmed is at one of the ends.\nClue 38: The actor is the person who likes dolphins.\nClue 39: The person who likes Mirinda is at one of the ends.\nClue 40: The person who likes Pepsi is somewhere to the left of the person who drives the Benelli.\nClue 41: The person who drinks milk is at one of the ends.\nClue 42: The person who drives the Hyundai is next to the person who drives the Mercedes.\nClue 43: The person who likes soups is the person who likes crickets.\nClue 44: The table tennis player is somewhere in between the person who owns a Gucci and the person who likes crickets in that order.\nClue 45: The guitar player is somewhere in between the soccer player and the person who owns a Coach in that order.\nClue 46: The singer is not the person who lives in the red house.\nClue 47: The person who owns a Gucci is at one of the ends.\nClue 48: The drums player is next to the person who owns a Michael Kors.\nClue 49: The person who likes Pepsi is somewhere in between the person who likes Limca and the person who likes base jumping in that order.\nClue 50: The person who lives in the teal house is next to the person who drives the Kia.\nClue 51: The person who likes roses is the person who likes aardvarks.\nClue 52: The person who drives the Ducati is next to the person who likes painting.\nClue 53: The person who drives the Mercedes is somewhere in between the guitar player and the architect in that order.\nClue 54: The flute player is not the person who likes dolphins.\nClue 55: The person who likes peonies is immediately to the left of the flute player.\nClue 56: The person who likes finches is the person who likes tacos.\nClue 57: The piano player is immediately to the left of the person who owns a Kate Spade.\nClue 58: The guitar player is somewhere in between the doctor and the person who likes peonies in that order.\nClue 59: Bob is the person who lives in the green house.\nClue 60: The ice hockey player is somewhere to the left of the drums player.\nClue 61: The Mexican is immediately to the left of the person who drinks water.\nClue 62: The tennis player is not the person who likes dahlias.\nClue 63: The Dane is next to the American.\nClue 64: Nour is somewhere to the left of the person who lives in the violet house.\nClue 65: The doctor is immediately to the left of the writer.\nClue 66: The person who likes mixology is the person who likes bungee jumping.\nClue 67: The person who likes Mountain Dew is the person who drinks hot chocolate.\nClue 68: The person who supports the Atlanta Falcons is somewhere in between the person who likes swimming and the person who likes Gatorade in that order.\nClue 69: The person who likes Rubies is the person who likes carnations.\nClue 70: The person who likes mixology is next to the person who drives the Suzuki.\nClue 71: The person who likes dahlias is at one of the ends.\nClue 72: The doctor is the table tennis player.\nClue 73: The person who drives the Harley-Davidson is the person who likes running.\nClue 74: Siva is at one of the ends.\nClue 75: The person who drinks iced coffee is the person who likes wood carving.\nClue 76: The person who supports the Chicago Bears is next to the person who likes hiking.\nClue 77: The person who likes daisies is somewhere in between the basketball player and the person who owns a Versace in that order.\nClue 78: The person who owns a Kate Spade is the singer.\nClue 79: The person who likes marigolds is not the person who lives in the red house.\nClue 80: The person who likes daisies is somewhere to the left of the person who lives in the silver house.\nClue 81: The person who likes sailing is the Irish.\nClue 82: The person who drives the Audi is not the person who lives in the violet house.\nClue 83: The person who drives the Mercedes is somewhere in between the person who lives in the gold house and Ahmed in that order.\nClue 84: The teacher is next to the person who lives in the gold house.\nClue 85: The person who likes Aquamarines is Alex.\nClue 86: The person who supports the Dallas Cowboys is immediately to the left of the Irish.\nClue 87: Bob is next to Nour.\nClue 88: The person who drives the Audi is somewhere to the left of the person who lives in the cyan house.\nClue 89: The person who drives the BMW is not the person who likes Diamonds.\nClue 90: The person who likes carnations is at one of the ends.\nClue 91: The person who likes peonies is somewhere in between the person who owns a Kate Spade and the architect in that order.\nClue 92: The person who lives in the red house is next to the piano player.\nClue 93: The person who likes sandwiches is somewhere in between the person who lives in the green house and the person who likes tacos in that order.\nClue 94: The person who lives in the green house is immediately to the left of the basketball player.\nClue 95: The person who likes bungee jumping is next to the person who drinks tea.\nClue 96: The person who likes wood carving is the person who likes Pepsi.\nClue 97: The artist is somewhere in between the person who lives in the green house and the volleyball player in that order.\nClue 98: The flute player is Mallika.\nClue 99: The person who lives in the gold house is not the person who likes Corals.\nClue 100: The person who owns a Dolce and Gabbana is not the badminton player.\nClue 101: The actor is not Mallika.\nClue 102: The doctor is somewhere to the left of the person who likes marigolds.\nClue 103: The person who likes running is immediately to the left of the person who drives the Piaggio.\nClue 104: The Mexican is next to the person who likes biking.\nClue 105: The person who likes kebabs is at one of the ends.\nClue 106: The person who likes painting is the person who supports the Cincinnati Bengals.\nClue 107: The person who likes painting is the person who likes Mountain Dew.\nClue 108: Yair is the person who drives the Honda.\nClue 109: The person who likes dolphins is the tennis player.\nClue 110: The person who likes Amethysts is somewhere in between the tennis player and the person who likes dahlias in that order.\nClue 111: The person who lives in the cyan house is immediately to the left of the person who likes crickets.\nClue 112: The doctor is the person who likes daffodils.\nClue 113: The person who owns a Gucci is at one of the ends.\nClue 114: Mallika is somewhere to the left of the person who drives the Toyota.\nClue 115: Ahmed is at one of the ends.\nClue 116: The person who owns a Coach is somewhere in between the person who likes marigolds and the person who lives in the silver house in that order.\nClue 117: The person who lives in the teal house is somewhere to the left of the person who drives the Toyota.\nClue 118: The person who likes dolphins is at one of the ends.\nClue 119: The person who likes roses is not the person who owns a Coach.\nClue 120: The person who likes running is immediately to the left of the person who likes Dr Pepper.\nClue 121: The person who likes marigolds is the person who likes Gypsum.\nClue 122: The person who likes sailing is somewhere in between the person who drives the Suzuki and the person who drinks coffee in that order.\nClue 123: The Dane is immediately to the left of the person who likes wood carving.\nClue 124: The artist is somewhere to the left of the person who likes blobfish.\nClue 125: The person who likes wolverines is the person who likes noodles.\nClue 126: The person who owns a Michael Kors is somewhere in between the person who likes Diamonds and the person who drives the Toyota in that order.\nClue 127: The Dane is the person at the 4th position.\nClue 128: The person who drives the BMW is somewhere to the left of the person who drives the Hyundai.\nClue 129: The person who drives the Buell is at one of the ends.\nClue 130: The person who owns a Tumi is not the basketball player.\nClue 131: The person who likes Amethysts is somewhere in between the tennis player and the architect in that order.\nClue 132: The person who lives in the cyan house is Yair.\nClue 133: The person who drives the BMW is not the person who likes tacos.\nClue 134: The person who likes Gatorade is the person who supports the San Francisco 49ers.\nClue 135: The person who likes daffodils is somewhere to the left of the ice hockey player.\nClue 136: Bob is somewhere in between the person who owns a Dolce and Gabbana and the person who likes peonies in that order.\nClue 137: The person who drinks hot chocolate is next to the Italian.\nClue 138: The person who likes marigolds is immediately to the left of the basketball player.\nClue 139: The person who drives the Mercedes is the person who likes daisies.\nClue 140: The person who drives the Mercedes is the person who likes Corals.\n\nQuestion: What position is the person who likes Gatorade at?",
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    "id": "bbeh:zebra_puzzles:074",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone smokes a different cigarette: Blends, Pall Mall, Blue Master, Davidoff, Newport, Salem, Winston.\nEveryone owns a different handbag brand: Versace, Coach, Tumi, Polo Ralph Lauren, Kate Spade, Balenciaga, Gucci.\nEveryone has a different name: Rose, Yair, Mohsen, Jones, Michael, Rajiv, Jackson.\nEveryone drives a different motorbike: Benelli, Suzuki, Honda, Harley-Davidson, Ducati, Piaggio, Kawasaki.\nEveryone likes a different fruit: strawberries, blueberries, raspberries, bananas, blackberries, grapes, kiwis.\nEveryone is a different nationality: American, Chilean, Australian, Hungarian, Mexican, Irish, German.\nEveryone likes a different physical activity: base jumping, hiking, skiing, snorkeling, bungee jumping, weight lifting, scuba diving.\nEveryone likes a different food: tacos, noodles, sandwiches, soups, fried rice, kebabs, pasta.\nEveryone has a different favorite soft drink: Mirinda, Fanta, Dr Pepper, 7up, Powerade, Sprite, Mountain Dew.\nEveryone drinks a different drink: beer, coffee, orange juice, iced coffee, tea, iced tea, lemonade.\nEveryone drives a different car: Mercedes, Ford, Honda, Audi, BMW, Hyundai, McLaren.\nEveryone lives in a different colored house: brown, pink, turquoise, indigo, grey, blue, red.\nEveryone likes a different type of gemstone: Jade, Sapphires, Corals, Diamonds, Moonstones, Obsidians, Aquamarines.\nEveryone has a different profession: dancer, architect, actor, spy, writer, athlete, programmer.\nEveryone supports a different NBA team: Lakers, Mavericks, Warriors, Cavaliers, Suns, Bucks, Bulls.\nEveryone likes a different favorite animal: wolverines, dolphins, frogs, rabbits, sea bass, amberjacks, panda bears.\nEveryone has a different favorite hobby: canoeing, gardening, cheese making, biking, stamp collecting, sailing, pottery.\nEveryone plays a different sport: ice hockey, tennis, squash, basketball, volleyball, cricket, table tennis.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who lives in the indigo house is the person who drives the McLaren.\nClue 2: The person who likes Mountain Dew is the person who owns a Balenciaga.\nClue 3: The Mexican is somewhere in between the person who supports the Warriors and the person who supports the Mavericks in that order.\nClue 4: Jones is the person who drinks tea.\nClue 5: The person who likes Diamonds is not the person who likes fried rice.\nClue 6: The person who lives in the brown house is somewhere in between the person who drives the McLaren and the person who likes Sprite in that order.\nClue 7: The person who supports the Warriors is not the person who likes Mirinda.\nClue 8: The person who drives the Honda is somewhere in between the person who smokes Winston and Jones in that order.\nClue 9: The person who likes tacos is somewhere to the left of the person who likes rabbits.\nClue 10: The person who likes fried rice is somewhere in between the person who likes pasta and the person who drives the Hyundai in that order.\nClue 11: Rose is the person who drinks iced tea.\nClue 12: The person who drives the Honda is the person who likes kebabs.\nClue 13: The architect is next to the ice hockey player.\nClue 14: Yair is the person who drinks coffee.\nClue 15: The person who owns a Tumi is the Hungarian.\nClue 16: The person who owns a Balenciaga is at one of the ends.\nClue 17: The person who drives the Benelli is the person who smokes Newport.\nClue 18: The person who likes pottery is somewhere in between the Hungarian and the person who likes soups in that order.\nClue 19: The person who eats raspberries is immediately to the left of the person who eats strawberries.\nClue 20: The writer is next to the person who drives the Ducati.\nClue 21: The person who drives the Benelli is at one of the ends.\nClue 22: The person who likes pasta is immediately to the left of the person who likes hiking.\nClue 23: The person who likes tacos is somewhere in between the person who drives the Ford and the person who drives the Mercedes in that order.\nClue 24: The person who eats strawberries is next to Rajiv.\nClue 25: The person who drives the Suzuki is the person who smokes Pall Mall.\nClue 26: The tennis player is the person who eats raspberries.\nClue 27: The person who likes gardening is next to the person who lives in the brown house.\nClue 28: The person who supports the Cavaliers is the person who likes sea bass.\nClue 29: The person who smokes Pall Mall is immediately to the left of the person who eats strawberries.\nClue 30: The ice hockey player is next to Jones.\nClue 31: The person who likes Obsidians is not the person who supports the Bucks.\nClue 32: The table tennis player is at one of the ends.\nClue 33: The person who likes Mirinda is somewhere in between the person who supports the Warriors and the person who likes soups in that order.\nClue 34: The person who likes Moonstones is not the Mexican.\nClue 35: The person who likes snorkeling is the person who likes cheese making.\nClue 36: The person who likes skiing is not the person who likes sea bass.\nClue 37: The person who likes Aquamarines is the person who likes weight lifting.\nClue 38: The person who likes stamp collecting is immediately to the left of the person who likes Mirinda.\nClue 39: The person who supports the Bulls is somewhere in between the person who drives the Hyundai and the person who drives the Mercedes in that order.\nClue 40: The person who likes kebabs is not the person who owns a Kate Spade.\nClue 41: The person who likes wolverines is somewhere to the left of the person who drives the Honda.\nClue 42: The person who smokes Blue Master is at one of the ends.\nClue 43: The person who likes amberjacks is somewhere in between the person who likes wolverines and the person who supports the Bucks in that order.\nClue 44: The spy is next to the person at the 6th position.\nClue 45: The person who likes Moonstones is somewhere in between the person who owns a Versace and the person who likes soups in that order.\nClue 46: The person who likes Mountain Dew is the person who supports the Bucks.\nClue 47: The person who supports the Bulls is somewhere in between the person who likes 7up and the person who likes scuba diving in that order.\nClue 48: The person who lives in the brown house is not the person who likes Mirinda.\nClue 49: The person who drives the Piaggio is the person who drinks beer.\nClue 50: The person who owns a Polo Ralph Lauren is next to the person who likes pottery.\nClue 51: The person who smokes Salem is immediately to the left of the athlete.\nClue 52: The person who supports the Suns is somewhere to the left of the Irish.\nClue 53: The person who likes biking is the American.\nClue 54: The person who eats strawberries is the person who smokes Winston.\nClue 55: The person who likes hiking is somewhere to the left of the German.\nClue 56: The person who lives in the grey house is the person who likes cheese making.\nClue 57: The person who drinks orange juice is immediately to the left of the person who drinks beer.\nClue 58: The person who likes Powerade is next to the person who drives the BMW.\nClue 59: The person who likes snorkeling is somewhere to the left of the person who likes kebabs.\nClue 60: The person who likes pottery is somewhere to the left of the person who lives in the pink house.\nClue 61: The person who likes Sapphires is somewhere to the left of the person who likes amberjacks.\nClue 62: The person who owns a Kate Spade is somewhere in between the person who likes fried rice and the Chilean in that order.\nClue 63: The person who smokes Blends is next to the person who drives the Ducati.\nClue 64: The person who drives the Ducati is somewhere to the left of the person who drives the Benelli.\nClue 65: The person who lives in the pink house is not the person who likes Mirinda.\nClue 66: The German is next to the person who lives in the blue house.\nClue 67: The person who likes Sprite is somewhere in between the person who drives the Hyundai and the person who likes rabbits in that order.\nClue 68: The person who owns a Polo Ralph Lauren is not the person who likes scuba diving.\nClue 69: The person who smokes Blue Master is not the dancer.\nClue 70: The person who likes sailing is not the person who likes skiing.\nClue 71: The person who drives the Kawasaki is the person who smokes Blue Master.\nClue 72: The person who owns a Tumi is at one of the ends.\nClue 73: The person who likes Sapphires is somewhere in between the person who owns a Tumi and the person who likes scuba diving in that order.\nClue 74: The person who likes canoeing is not the Chilean.\nClue 75: The person who drives the McLaren is not the person who likes tacos.\nClue 76: The person who eats kiwis is at one of the ends.\nClue 77: The person who likes canoeing is next to the person who likes kebabs.\nClue 78: The person who drinks tea is at one of the ends.\nClue 79: The person who lives in the grey house is at one of the ends.\nClue 80: The actor is immediately to the left of Mohsen.\nClue 81: The person who likes sandwiches is at one of the ends.\nClue 82: The person who likes dolphins is the person who likes sailing.\nClue 83: The person who drinks iced coffee is the writer.\nClue 84: The person who eats blackberries is next to the cricket player.\nClue 85: The person who owns a Coach is somewhere to the left of the person who owns a Balenciaga.\nClue 86: The person who lives in the pink house is not the person who likes wolverines.\nClue 87: The person who eats strawberries is next to the person who eats bananas.\nClue 88: The person who likes fried rice is immediately to the left of the person who likes Fanta.\nClue 89: The person who drives the McLaren is not the Irish.\nClue 90: The person who drives the Ford is immediately to the left of the person who likes tacos.\nClue 91: The person who owns a Polo Ralph Lauren is somewhere to the left of the person who likes base jumping.\nClue 92: The person who likes sandwiches is next to the person who likes amberjacks.\nClue 93: The person who eats strawberries is somewhere to the left of the person who drinks iced coffee.\nClue 94: The person who likes dolphins is immediately to the left of the person who likes frogs.\nClue 95: The person who supports the Lakers is the person who drives the Hyundai.\nClue 96: The cricket player is next to the actor.\nClue 97: The Irish is somewhere in between the person who lives in the indigo house and the person who likes kebabs in that order.\nClue 98: The volleyball player is the person who smokes Davidoff.\nClue 99: The person who drives the BMW is not the person who likes Moonstones.\nClue 100: The person who likes rabbits is not the person who likes gardening.\nClue 101: The cricket player is the person who eats blueberries.\nClue 102: The person who drinks iced tea is the athlete.\nClue 103: The person who likes tacos is not the Mexican.\nClue 104: The person who drives the BMW is somewhere to the left of the person who lives in the blue house.\nClue 105: The person who lives in the brown house is not the person who likes hiking.\nClue 106: The person who likes Powerade is not the person who likes kebabs.\nClue 107: The person who likes hiking is the person who likes Sapphires.\nClue 108: The person who eats kiwis is somewhere to the left of the ice hockey player.\nClue 109: The person who likes snorkeling is not the person who drives the Audi.\nClue 110: The person who likes Mirinda is not the person who supports the Mavericks.\nClue 111: The person who likes base jumping is the person who likes 7up.\nClue 112: The person who eats raspberries is somewhere in between the cricket player and Michael in that order.\nClue 113: The writer is somewhere in between the person who smokes Winston and the table tennis player in that order.\nClue 114: The German is at one of the ends.\nClue 115: The person who supports the Bucks is the person who likes canoeing.\nClue 116: The person who owns a Kate Spade is the person who likes frogs.\nClue 117: Jackson is the actor.\nClue 118: The person who supports the Suns is somewhere to the left of the person who likes base jumping.\nClue 119: The person who likes scuba diving is at one of the ends.\nClue 120: The American is somewhere in between the Chilean and the person who lives in the pink house in that order.\nClue 121: The person who likes fried rice is immediately to the left of the person who supports the Mavericks.\nClue 122: The person who lives in the grey house is the person who likes Dr Pepper.\nClue 123: The person who drinks tea is not the person who eats strawberries.\nClue 124: The person who supports the Lakers is immediately to the left of the person who likes bungee jumping.\nClue 125: The person who likes Powerade is not the person who likes wolverines.\nClue 126: The person who likes Dr Pepper is at one of the ends.\nClue 127: The person who likes sea bass is next to the person who likes Aquamarines.\nClue 128: The person who likes pottery is the person who likes skiing.\nClue 129: The person who likes pasta is the person who likes stamp collecting.\nClue 130: The person who likes Powerade is not the person who drives the BMW.\nClue 131: The person who likes skiing is next to the person who likes gardening.\nClue 132: The person who likes skiing is not the person who supports the Warriors.\nClue 133: The person who likes Corals is not the person who owns a Balenciaga.\nClue 134: The person who likes skiing is the person who lives in the brown house.\nClue 135: The person who drives the BMW is not the person who supports the Mavericks.\nClue 136: The person who likes skiing is the person who drives the Audi.\nClue 137: The person who likes hiking is next to the person who likes Fanta.\nClue 138: The person who eats strawberries is immediately to the left of the person who drives the Honda.\nClue 139: The person who drinks iced tea is somewhere to the left of the squash player.\nClue 140: The person who lives in the red house is somewhere to the left of the person who likes Mountain Dew.\nClue 141: The person who likes noodles is the person who supports the Cavaliers.\nClue 142: Rajiv is immediately to the left of Jones.\nClue 143: The person who likes scuba diving is the person who likes rabbits.\nClue 144: The person who drinks lemonade is the architect.\nClue 145: The person who supports the Warriors is next to the person who drives the Ford.\nClue 146: The person who smokes Davidoff is somewhere to the left of the person who smokes Salem.\n\nQuestion: What position is the person who drives the Benelli at?",
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    "id": "bbeh:zebra_puzzles:076",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone reads a different genre of books: science fiction, magical realism, short story, humor, spiritual.\nEveryone has a different profession: spy, artist, engineer, writer, chef.\nEveryone supports a different NBA team: Lakers, Warriors, Hawks, Bucks, Cavaliers.\nEveryone drives a different car: Ford, McLaren, Honda, Hyundai, Audi.\nEveryone likes a different type of flower: roses, orchids, peonies, tulips, daisies.\nEveryone supports a different NFL team: Dallas Cowboys, Denver Broncos, Buffalo Bills, Chicago Bears, New England Patriots.\nEveryone plays a different sport: volleyball, tennis, basketball, cricket, badminton.\nEveryone smokes a different cigarette: Davidoff, Winston, Blue Master, Newport, Marlboro.\nEveryone has a different favorite soft drink: Pepsi, 7up, Mountain Dew, Gatorade, Powerade.\nEveryone drinks a different drink: water, lemonade, orange juice, tea, iced tea.\nEveryone plays a different musical instrument: oboe, cello, piano, drums, harp.\nEveryone likes a different fruit: blueberries, raspberries, bananas, oranges, blackberries.\nEveryone has a different favorite hobby: crocheting, camping, dancing, mixology, canoeing.\nEveryone lives in a different colored house: red, silver, brown, orange, magenta.\nEveryone owns a different handbag brand: Michael Kors, Polo Ralph Lauren, Balenciaga, Tory Burch, Gucci.\nEveryone likes a different physical activity: running, biking, snorkeling, hiking, swimming.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who eats bananas is somewhere to the left of the person who supports the Dallas Cowboys.\nClue 2: The person who lives in the silver house is somewhere in between the person who drinks water and the person who drinks orange juice in that order.\nClue 3: The person who supports the Hawks is at one of the ends.\nClue 4: The person who drinks water is the person who supports the Hawks.\nClue 5: The person who drives the Audi is somewhere to the left of the person who drives the McLaren.\nClue 6: The person who supports the Chicago Bears is somewhere in between the person who eats bananas and the person who likes dancing in that order.\nClue 7: The cricket player is somewhere in between the person who likes crocheting and the person who smokes Blue Master in that order.\nClue 8: The person who drinks water is immediately to the left of the person who smokes Marlboro.\nClue 9: The person who drinks tea is somewhere in between the person who lives in the orange house and the person who likes 7up in that order.\nClue 10: The person who owns a Michael Kors is next to the person who drives the Audi.\nClue 11: The person who likes snorkeling is not the badminton player.\nClue 12: The person who lives in the silver house is the person who supports the Cavaliers.\nClue 13: The basketball player is not the person who reads spiritual books.\nClue 14: The person who supports the Warriors is somewhere to the left of the person who smokes Winston.\nClue 15: The cello player is somewhere in between the person at the 1st position and the engineer in that order.\nClue 16: The person who drinks water is immediately to the left of the person who smokes Marlboro.\nClue 17: The person who likes mixology is somewhere in between the person who supports the Lakers and the person who supports the Dallas Cowboys in that order.\nClue 18: The person who owns a Balenciaga is somewhere to the left of the person at the 2nd position.\nClue 19: The person who lives in the brown house is at one of the ends.\nClue 20: The person who lives in the silver house is immediately to the left of the person who lives in the red house.\nClue 21: The person who lives in the orange house is not the person who likes running.\nClue 22: The oboe player is next to the person who owns a Tory Burch.\nClue 23: The person who reads magical realism books is the person who drinks lemonade.\nClue 24: The person who likes biking is not the basketball player.\nClue 25: The person who supports the New England Patriots is the person who drinks orange juice.\nClue 26: The person who supports the Denver Broncos is immediately to the left of the person who lives in the red house.\nClue 27: The person who likes camping is not the person who drinks iced tea.\nClue 28: The person who drives the Audi is immediately to the left of the chef.\nClue 29: The person who likes tulips is next to the engineer.\nClue 30: The person who lives in the red house is the person who smokes Blue Master.\nClue 31: The person who likes Mountain Dew is not the person who reads magical realism books.\nClue 32: The person who likes Mountain Dew is immediately to the left of the person who likes mixology.\nClue 33: The person who likes peonies is the person who owns a Tory Burch.\nClue 34: The person who likes Gatorade is immediately to the left of the person who smokes Marlboro.\nClue 35: The person who likes running is immediately to the left of the person who supports the Bucks.\nClue 36: The person who likes 7up is not the person who likes swimming.\nClue 37: The person who supports the Bucks is the person who supports the Dallas Cowboys.\nClue 38: The person who supports the Dallas Cowboys is not the person who supports the Cavaliers.\nClue 39: The person who likes Gatorade is somewhere to the left of the person who lives in the red house.\nClue 40: The person who supports the Denver Broncos is somewhere to the left of the person who likes canoeing.\nClue 41: The person who drinks water is immediately to the left of the cricket player.\nClue 42: The person who smokes Blue Master is the person who drinks iced tea.\nClue 43: The basketball player is next to the cricket player.\nClue 44: The person who drinks iced tea is somewhere to the left of the person who likes 7up.\nClue 45: The person who smokes Marlboro is not the person who drinks orange juice.\nClue 46: The person who likes snorkeling is next to the person who likes biking.\nClue 47: The person who likes orchids is immediately to the left of the person who owns a Tory Burch.\nClue 48: The person who likes Mountain Dew is somewhere in between the person who eats bananas and the tennis player in that order.\nClue 49: The person who smokes Winston is at one of the ends.\nClue 50: The person who likes Gatorade is not the person who drinks iced tea.\nClue 51: The person who supports the Denver Broncos is somewhere in between the person who likes snorkeling and the person who likes canoeing in that order.\nClue 52: The person who likes Gatorade is the person who supports the Buffalo Bills.\nClue 53: The person who supports the New England Patriots is somewhere to the left of the person who supports the Dallas Cowboys.\nClue 54: The person who likes hiking is somewhere in between the basketball player and the person who likes Powerade in that order.\nClue 55: The person who likes Mountain Dew is the person who supports the Lakers.\nClue 56: The person who lives in the red house is the person who supports the Lakers.\nClue 57: The person who likes crocheting is at one of the ends.\nClue 58: The chef is the person who owns a Polo Ralph Lauren.\nClue 59: The person who supports the Warriors is immediately to the left of the person who lives in the brown house.\nClue 60: The writer is immediately to the left of the person at the 3rd position.\nClue 61: The person who drinks orange juice is somewhere in between the person who likes camping and the person who drinks lemonade in that order.\nClue 62: The person who smokes Marlboro is somewhere to the left of the tennis player.\nClue 63: The person who likes canoeing is the person who supports the Chicago Bears.\nClue 64: The oboe player is next to the artist.\nClue 65: The person who lives in the red house is somewhere in between the person who supports the Buffalo Bills and the person who supports the Dallas Cowboys in that order.\nClue 66: The person who drives the Hyundai is at one of the ends.\nClue 67: The person who likes Gatorade is not the badminton player.\nClue 68: The person who lives in the silver house is somewhere in between the basketball player and the person who likes Powerade in that order.\nClue 69: The person who eats bananas is not the person who supports the Bucks.\nClue 70: The person who reads magical realism books is not the person who likes 7up.\nClue 71: The person who drinks tea is immediately to the left of the person who supports the Lakers.\nClue 72: The person who drinks lemonade is the person who smokes Winston.\nClue 73: The person who smokes Newport is the person who likes snorkeling.\nClue 74: The person who lives in the brown house is not the person who supports the Cavaliers.\nClue 75: The person who supports the Chicago Bears is not the person who drinks lemonade.\nClue 76: The person who likes Mountain Dew is the person who likes hiking.\nClue 77: The person who lives in the red house is the person who smokes Blue Master.\nClue 78: The person who reads humor books is somewhere in between the cricket player and the person who likes running in that order.\nClue 79: The person who supports the Cavaliers is somewhere in between the person who supports the Hawks and the person who likes Mountain Dew in that order.\nClue 80: The person who likes roses is the chef.\nClue 81: The person who likes Mountain Dew is the person who supports the Chicago Bears.\nClue 82: The person who supports the Dallas Cowboys is at one of the ends.\nClue 83: The person who likes Powerade is at one of the ends.\nClue 84: The person who likes swimming is at one of the ends.\nClue 85: The person who likes Gatorade is at one of the ends.\nClue 86: The person who supports the New England Patriots is somewhere to the left of the person who likes Powerade.\nClue 87: The tennis player is not the person who likes Pepsi.\nClue 88: The person who lives in the silver house is somewhere in between the basketball player and the badminton player in that order.\nClue 89: The person who supports the Hawks is not the person who likes dancing.\nClue 90: The oboe player is next to the harp player.\nClue 91: The person who smokes Davidoff is next to the badminton player.\nClue 92: The chef is the oboe player.\nClue 93: The chef is at one of the ends.\nClue 94: The person who likes running is not the person who drinks lemonade.\nClue 95: The person who likes mixology is immediately to the left of the person who likes Powerade.\nClue 96: The person who reads magical realism books is not the person who lives in the orange house.\nClue 97: The person who lives in the brown house is at one of the ends.\nClue 98: The person who likes running is the person who smokes Davidoff.\nClue 99: The person who eats bananas is at one of the ends.\nClue 100: The person who drives the Honda is somewhere in between the person who drives the Ford and the chef in that order.\nClue 101: The person who supports the New England Patriots is next to the person who reads magical realism books.\nClue 102: The person who supports the Hawks is at one of the ends.\nClue 103: The person who drinks orange juice is the person who likes running.\nClue 104: The person who likes camping is immediately to the left of the person who supports the Lakers.\nClue 105: The person who lives in the magenta house is somewhere in between the person who likes canoeing and the person who lives in the brown house in that order.\nClue 106: The person who eats blueberries is immediately to the left of the person who reads magical realism books.\nClue 107: The person who supports the New England Patriots is not the person who likes crocheting.\nClue 108: The person who supports the Bucks is next to the tennis player.\nClue 109: The person who likes canoeing is the person who reads humor books.\nClue 110: The person who likes mixology is somewhere to the left of the person who drinks lemonade.\nClue 111: The person who smokes Davidoff is somewhere in between the person who supports the Lakers and the volleyball player in that order.\nClue 112: The cricket player is next to the person who smokes Blue Master.\nClue 113: The person who supports the New England Patriots is somewhere in between the person who supports the Cavaliers and the person who likes swimming in that order.\nClue 114: The person who reads spiritual books is the person who supports the Cavaliers.\nClue 115: The badminton player is not the person who likes mixology.\nClue 116: The person who likes hiking is somewhere in between the person who lives in the orange house and the person who likes mixology in that order.\nClue 117: The person who likes snorkeling is the person who eats bananas.\nClue 118: The badminton player is next to the person who supports the Denver Broncos.\nClue 119: The person who owns a Tory Burch is next to the piano player.\n\nQuestion: What position is the person who owns a Michael Kors at?",
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    "family": "44defdfc5e9eb12cda462a926f36a7e54bce66fb5d0f67045611197cb0657651",
    "id": "bbeh:zebra_puzzles:078",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of flower: daisies, marigolds, tulips, begonias, carnations, peonies, dahlias.\nEveryone likes a different type of gemstone: Gypsum, Sapphires, Dolomites, Diamonds, Rubies, Corals, Pearls.\nEveryone likes a different food: pasta, curry, burgers, noodles, sandwiches, fried rice, tacos.\nEveryone likes a different favorite animal: donkeys, llamas, octopuses, camels, elephants, leopards, mannikins.\nEveryone has a different favorite hobby: crocheting, beekeeping, metal detecting, mixology, kayaking, knitting, parkour.\nEveryone drinks a different drink: lemonade, coffee, iced tea, beer, orange juice, iced coffee, hot chocolate.\nEveryone drives a different motorbike: Buell, Yamaha, Kawasaki, Suzuki, Harley-Davidson, Bajaj, Benelli.\nEveryone drives a different car: Toyota, Audi, BMW, Kia, Honda, Ford, Hyundai.\nEveryone likes a different physical activity: base jumping, snorkeling, paragliding, bungee jumping, swimming, running, biking.\nEveryone reads a different genre of books: humor, fantasy, history, spiritual, mystery, magical realism, science fiction.\nEveryone smokes a different cigarette: Pall Mall, Davidoff, Marlboro, Salem, Camel, Blends, Newport.\nEveryone has a different favorite soft drink: 7up, Powerade, Fanta, Gatorade, Pepsi, Mountain Dew, Dr Pepper.\nEveryone has a different profession: spy, dancer, chef, writer, singer, artist, athlete.\nEveryone owns a different handbag brand: Michael Kors, Dolce and Gabbana, Balenciaga, Tumi, Kate Spade, Coach, Polo Ralph Lauren.\nEveryone supports a different NBA team: Lakers, Hawks, Cavaliers, Warriors, Suns, Knicks, Bulls.\nEveryone is a different nationality: Portuguese, Bulgarian, Japanese, Serbian, Korean, Pakistani, Irish.\nEveryone has a different name: Randy, Charlie, Rajiv, Margaret, Drew, Tao, Ahmed.\nEveryone plays a different musical instrument: cello, drums, violin, piano, oboe, harmonica, saxophone.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Salem is not the Bulgarian.\nClue 2: The person who likes Mountain Dew is not the person who smokes Marlboro.\nClue 3: The person who likes beekeeping is somewhere in between the person who owns a Coach and the person who drives the Audi in that order.\nClue 4: The person who smokes Salem is not the person who likes Diamonds.\nClue 5: The person who drives the Buell is at one of the ends.\nClue 6: The person who likes beekeeping is somewhere to the left of Ahmed.\nClue 7: The person who drinks iced tea is not the person who drives the Buell.\nClue 8: The person who likes daisies is the Portuguese.\nClue 9: The person who likes pasta is immediately to the left of the person who likes running.\nClue 10: The person who likes paragliding is at one of the ends.\nClue 11: The person who likes fried rice is the person who drinks coffee.\nClue 12: The person who likes burgers is somewhere in between the person who likes running and the person who likes paragliding in that order.\nClue 13: The person who drives the Kawasaki is at one of the ends.\nClue 14: The person who likes tulips is somewhere to the left of the person who likes sandwiches.\nClue 15: The drums player is somewhere to the left of the person who likes parkour.\nClue 16: The Irish is somewhere in between the person who likes carnations and the person who reads fantasy books in that order.\nClue 17: The person who smokes Pall Mall is not the person who drinks iced tea.\nClue 18: The person who likes Corals is at one of the ends.\nClue 19: The person who smokes Salem is somewhere in between the person who drives the Kawasaki and the person who drives the Suzuki in that order.\nClue 20: The person who smokes Davidoff is at one of the ends.\nClue 21: The person who smokes Newport is immediately to the left of the person who reads science fiction books.\nClue 22: The person who likes bungee jumping is the person who reads history books.\nClue 23: The Korean is not the person who likes curry.\nClue 24: The person who likes curry is not the person who drinks hot chocolate.\nClue 25: Randy is immediately to the left of the athlete.\nClue 26: The person who likes beekeeping is the writer.\nClue 27: The person who supports the Hawks is somewhere in between the person who likes peonies and the person who likes sandwiches in that order.\nClue 28: The harmonica player is next to the person who likes llamas.\nClue 29: The person who drives the Yamaha is next to the person who reads history books.\nClue 30: The person who supports the Cavaliers is somewhere to the left of the person who likes Dr Pepper.\nClue 31: The person who drives the Toyota is Tao.\nClue 32: The person who supports the Hawks is next to the person who reads spiritual books.\nClue 33: The person who likes burgers is somewhere in between the person who likes running and the person who likes Powerade in that order.\nClue 34: The person who drives the Hyundai is the person who owns a Polo Ralph Lauren.\nClue 35: The person who likes swimming is the person who drinks iced coffee.\nClue 36: The person at the 4th position is immediately to the left of Tao.\nClue 37: The person who smokes Davidoff is at one of the ends.\nClue 38: The person who likes tulips is somewhere to the left of the person who likes Dolomites.\nClue 39: The person who likes 7up is not the person who likes peonies.\nClue 40: The person who reads history books is the person who smokes Blends.\nClue 41: The person who likes snorkeling is somewhere in between the person who smokes Camel and the Korean in that order.\nClue 42: The Bulgarian is somewhere to the left of the person who supports the Lakers.\nClue 43: The violin player is the person who drives the BMW.\nClue 44: The person who drives the Kawasaki is not the person who likes Diamonds.\nClue 45: The singer is at one of the ends.\nClue 46: Drew is immediately to the left of the piano player.\nClue 47: The Korean is not the person who likes Diamonds.\nClue 48: The person who smokes Marlboro is somewhere in between the person who likes Diamonds and the person who supports the Hawks in that order.\nClue 49: The person who reads science fiction books is at one of the ends.\nClue 50: The person who owns a Balenciaga is the harmonica player.\nClue 51: The person who likes begonias is the person who smokes Newport.\nClue 52: The person who drives the BMW is next to the dancer.\nClue 53: The person who supports the Cavaliers is not the person who drinks iced coffee.\nClue 54: The person who owns a Balenciaga is at one of the ends.\nClue 55: The person who likes swimming is next to the person who likes bungee jumping.\nClue 56: The person who owns a Kate Spade is somewhere in between the person who drives the Hyundai and the drums player in that order.\nClue 57: The person who owns a Dolce and Gabbana is the oboe player.\nClue 58: The person who likes biking is not the person who likes Diamonds.\nClue 59: The person who drives the Buell is at one of the ends.\nClue 60: The person who owns a Kate Spade is next to Tao.\nClue 61: The person who smokes Salem is next to the person who likes base jumping.\nClue 62: The person who likes curry is not the person who reads magical realism books.\nClue 63: The Bulgarian is at one of the ends.\nClue 64: The Irish is somewhere to the left of the person who reads fantasy books.\nClue 65: The person who likes paragliding is not the person who likes Corals.\nClue 66: The person who likes mixology is Drew.\nClue 67: The person who drinks beer is the person who supports the Suns.\nClue 68: The chef is the person who likes mixology.\nClue 69: The person who likes daisies is at one of the ends.\nClue 70: The person who drives the Kawasaki is somewhere to the left of the person who drives the Yamaha.\nClue 71: The person who likes beekeeping is immediately to the left of the harmonica player.\nClue 72: The person who smokes Camel is next to the person who drives the Bajaj.\nClue 73: The person who supports the Warriors is at one of the ends.\nClue 74: The person who likes mannikins is the person who drives the Ford.\nClue 75: The person who likes mannikins is immediately to the left of Drew.\nClue 76: The oboe player is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 77: The Irish is immediately to the left of the person who drinks lemonade.\nClue 78: Drew is the person who likes camels.\nClue 79: The person who likes marigolds is not the person who reads history books.\nClue 80: The person who likes Pepsi is somewhere in between the person who supports the Cavaliers and the person who likes daisies in that order.\nClue 81: The person who likes octopuses is somewhere in between the chef and the writer in that order.\nClue 82: The person who likes marigolds is not the person who likes Fanta.\nClue 83: Charlie is not the dancer.\nClue 84: The person who likes paragliding is at one of the ends.\nClue 85: The person who likes Gatorade is not the person who drives the Buell.\nClue 86: The person who likes Dr Pepper is not the person who reads fantasy books.\nClue 87: The person who drives the Benelli is somewhere in between the person who smokes Marlboro and the person who likes daisies in that order.\nClue 88: The person who drinks orange juice is immediately to the left of the person who drinks iced tea.\nClue 89: The person who drinks orange juice is the person who likes Rubies.\nClue 90: The person who drinks orange juice is not the person who likes Mountain Dew.\nClue 91: The person who owns a Dolce and Gabbana is next to Rajiv.\nClue 92: The person who likes beekeeping is next to the person who owns a Coach.\nClue 93: The person who likes swimming is not the person who supports the Cavaliers.\nClue 94: The person who likes snorkeling is immediately to the left of the person who likes noodles.\nClue 95: The person who likes Dolomites is the person who likes burgers.\nClue 96: The person who drives the Yamaha is not the person who likes Pearls.\nClue 97: The person who reads history books is not the person who likes running.\nClue 98: The person who likes marigolds is the person who likes running.\nClue 99: The athlete is Ahmed.\nClue 100: The person who owns a Polo Ralph Lauren is Drew.\nClue 101: The person who drives the Buell is the person who drinks hot chocolate.\nClue 102: The person who smokes Pall Mall is at one of the ends.\nClue 103: The person who reads magical realism books is somewhere to the left of the person who drinks orange juice.\nClue 104: The person who drives the Benelli is somewhere in between the Irish and the person who drinks hot chocolate in that order.\nClue 105: The Portuguese is not the person who smokes Blends.\nClue 106: The person who likes burgers is not the person who supports the Warriors.\nClue 107: The person who likes peonies is the person who supports the Suns.\nClue 108: The person who supports the Cavaliers is not the person who likes carnations.\nClue 109: The person who likes metal detecting is immediately to the left of the person who likes mixology.\nClue 110: The person who likes Pepsi is somewhere in between the person who likes marigolds and the person who likes Pearls in that order.\nClue 111: The person who likes running is somewhere in between the person who likes carnations and the person who likes sandwiches in that order.\nClue 112: The person who likes Mountain Dew is the Pakistani.\nClue 113: The spy is the person who likes kayaking.\nClue 114: The person who reads mystery books is the person who supports the Bulls.\nClue 115: The cello player is the person who likes crocheting.\nClue 116: The person who likes bungee jumping is next to the person who supports the Lakers.\nClue 117: The person who drives the Harley-Davidson is not the person who supports the Bulls.\nClue 118: The person who likes dahlias is somewhere in between the person who supports the Bulls and the person who supports the Hawks in that order.\nClue 119: The person who smokes Camel is not the person who drinks beer.\nClue 120: The person who owns a Tumi is the drums player.\nClue 121: The person who likes Powerade is not the person who drives the Suzuki.\nClue 122: The person who likes marigolds is the person who smokes Camel.\nClue 123: The person who likes donkeys is not the cello player.\nClue 124: The person who likes octopuses is somewhere to the left of the person who likes crocheting.\nClue 125: The person who smokes Newport is somewhere in between the person who reads spiritual books and the person who drives the Buell in that order.\nClue 126: The person who drives the Kia is immediately to the left of the person who likes elephants.\nClue 127: The Irish is somewhere to the left of the person who likes noodles.\nClue 128: The person who smokes Pall Mall is not the person who likes biking.\nClue 129: The person who likes Dolomites is somewhere to the left of the person who smokes Davidoff.\nClue 130: The person who likes snorkeling is somewhere in between the person who reads history books and the person who drinks lemonade in that order.\nClue 131: The person who supports the Hawks is somewhere in between the person who smokes Marlboro and the person who likes sandwiches in that order.\nClue 132: The person who likes tulips is next to the person who supports the Bulls.\nClue 133: The person who likes tulips is next to the person who smokes Salem.\nClue 134: The person who reads history books is the person who likes bungee jumping.\nClue 135: The person who drinks lemonade is somewhere to the left of the person who likes sandwiches.\nClue 136: The violin player is at one of the ends.\nClue 137: The person who drives the Kia is immediately to the left of the athlete.\nClue 138: The person who likes swimming is not the person who drinks orange juice.\nClue 139: The person who drinks coffee is the person who smokes Pall Mall.\nClue 140: The person who likes fried rice is at one of the ends.\n\nQuestion: What position is Rajiv at?",
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    "dataset": "bbeh",
    "family": "91d78afddaaf81f31f2c35f7996bac783b2b2f5932afad0330f726e1f2da65ac",
    "id": "bbeh:zebra_puzzles:080",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite soft drink: Fanta, Pepsi, Mountain Dew, 7up, Canada Dry, Limca, Sprite.\nEveryone lives in a different colored house: magenta, green, blue, white, black, violet, cyan.\nEveryone drives a different car: Mercedes, Tesla, Ferrari, Honda, Hyundai, McLaren, BMW.\nEveryone likes a different type of flower: begonias, roses, marigolds, peonies, orchids, daffodils, lilies.\nEveryone likes a different food: burgers, curry, kebabs, tacos, sandwiches, soups, fried rice.\nEveryone has a different profession: designer, artist, actor, spy, dancer, singer, teacher.\nEveryone plays a different sport: volleyball, basketball, cricket, table tennis, ice hockey, baseball, soccer.\nEveryone supports a different NFL team: Seattle Seahawks, San Francisco 49ers, Dallas Cowboys, Chicago Bears, Green Bay Packers, Atlanta Falcons, Arizona Cardinals.\nEveryone supports a different NBA team: Lakers, Mavericks, Cavaliers, Celtics, Bucks, Suns, Hawks.\nEveryone is a different nationality: Israeli, Irish, Croatian, Serbian, American, Bangladeshi, Iranian.\nEveryone likes a different favorite animal: ligers, halibut, beavers, tilapia, doves, owls, pigs.\nEveryone reads a different genre of books: romance, mystery, humor, science fiction, short story, fantasy, spiritual.\nEveryone has a different name: Rose, Jackson, Nour, Mallika, Ahmed, Katherine, Noah.\nEveryone drives a different motorbike: Honda, Suzuki, Buell, Yamaha, Harley-Davidson, Bajaj, Kawasaki.\nEveryone likes a different physical activity: weight lifting, paragliding, swimming, biking, snorkeling, scuba diving, running.\nEveryone plays a different musical instrument: oboe, drums, saxophone, piano, cello, guitar, violin.\nEveryone smokes a different cigarette: Salem, Blends, Newport, Dunhill, Pall Mall, Marlboro, Winston.\nEveryone has a different favorite hobby: gardening, wine making, horse riding, quilting, pottery, video games, archery.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes archery is at one of the ends.\nClue 2: The designer is at one of the ends.\nClue 3: The person who supports the Mavericks is Jackson.\nClue 4: The person who drives the Tesla is at one of the ends.\nClue 5: Mallika is somewhere to the left of Nour.\nClue 6: The person who reads humor books is the volleyball player.\nClue 7: The person who reads romance books is next to the cricket player.\nClue 8: The person who likes doves is the drums player.\nClue 9: The person who likes video games is somewhere to the left of the singer.\nClue 10: The person who drives the Buell is not the person who likes swimming.\nClue 11: The person who likes paragliding is the guitar player.\nClue 12: The person who supports the Lakers is somewhere in between the person who likes paragliding and the person who likes begonias in that order.\nClue 13: The person who supports the Mavericks is next to the person who supports the Lakers.\nClue 14: The person who supports the Cavaliers is the person who smokes Salem.\nClue 15: The person who likes snorkeling is at one of the ends.\nClue 16: The piano player is not the person who likes wine making.\nClue 17: The volleyball player is next to the person who lives in the blue house.\nClue 18: Mallika is somewhere to the left of the spy.\nClue 19: The person who drives the Suzuki is the person who likes tilapia.\nClue 20: The person who smokes Newport is somewhere to the left of the person who likes quilting.\nClue 21: The designer is at one of the ends.\nClue 22: The guitar player is next to the person who supports the Chicago Bears.\nClue 23: The person who drives the Kawasaki is not the dancer.\nClue 24: The person who likes halibut is next to the person who supports the Atlanta Falcons.\nClue 25: The person who supports the Lakers is not the person who likes paragliding.\nClue 26: The volleyball player is the person who lives in the violet house.\nClue 27: The person who drives the Kawasaki is the violin player.\nClue 28: The person who likes curry is the person who drives the Honda.\nClue 29: The person who likes doves is immediately to the left of Noah.\nClue 30: The person who likes scuba diving is the person who drives the Honda.\nClue 31: The person who lives in the green house is somewhere to the left of the basketball player.\nClue 32: The person who likes snorkeling is next to the person who supports the Lakers.\nClue 33: The person who likes scuba diving is not the spy.\nClue 34: The person who likes halibut is not the piano player.\nClue 35: The oboe player is next to the violin player.\nClue 36: The person at the 2nd position is the person who likes Mountain Dew.\nClue 37: The person who likes marigolds is somewhere in between the person who supports the Dallas Cowboys and the person who smokes Blends in that order.\nClue 38: The teacher is somewhere to the left of the person who smokes Marlboro.\nClue 39: The person who likes 7up is next to the person who likes Sprite.\nClue 40: The person who likes begonias is at one of the ends.\nClue 41: The person who likes ligers is somewhere to the left of the person who supports the Seattle Seahawks.\nClue 42: The person who drives the Honda is not the violin player.\nClue 43: The person who likes scuba diving is Mallika.\nClue 44: The person who smokes Winston is next to Jackson.\nClue 45: The baseball player is the person who likes tacos.\nClue 46: The designer is the person who likes peonies.\nClue 47: The person who supports the Arizona Cardinals is somewhere to the left of the person who supports the San Francisco 49ers.\nClue 48: The person who lives in the violet house is the person at the 3rd position.\nClue 49: The person who likes running is immediately to the left of the person who smokes Pall Mall.\nClue 50: The person who likes owls is immediately to the left of the person who likes begonias.\nClue 51: The piano player is next to the person who supports the Celtics.\nClue 52: The person who likes weight lifting is at one of the ends.\nClue 53: The person who drives the Ferrari is the person who lives in the violet house.\nClue 54: The person who supports the Lakers is not the person who likes quilting.\nClue 55: The artist is not the person who supports the Lakers.\nClue 56: The person who likes Limca is the person who reads humor books.\nClue 57: The person who likes kebabs is the person who reads short story books.\nClue 58: The person who likes beavers is at one of the ends.\nClue 59: The person who likes sandwiches is the person who reads fantasy books.\nClue 60: The person who likes weight lifting is somewhere to the left of Ahmed.\nClue 61: The person who drives the Kawasaki is immediately to the left of the person who supports the San Francisco 49ers.\nClue 62: The person who likes pigs is not the person who likes quilting.\nClue 63: The person who likes archery is not the artist.\nClue 64: The person who likes snorkeling is not the actor.\nClue 65: The person who likes curry is not the person who lives in the white house.\nClue 66: The person who supports the Bucks is the person who supports the Seattle Seahawks.\nClue 67: The person who supports the San Francisco 49ers is at one of the ends.\nClue 68: The person who likes running is somewhere in between the person who drives the Yamaha and the person who drives the Suzuki in that order.\nClue 69: The dancer is Jackson.\nClue 70: The table tennis player is next to the person who likes sandwiches.\nClue 71: The person who supports the Arizona Cardinals is somewhere in between the person who drives the Harley-Davidson and Katherine in that order.\nClue 72: Ahmed is somewhere in between the person who likes scuba diving and the person who drives the Buell in that order.\nClue 73: The person who likes halibut is next to the drums player.\nClue 74: The person who supports the Chicago Bears is not the singer.\nClue 75: The person who reads science fiction books is at one of the ends.\nClue 76: The person who drives the Honda is not the person who supports the Dallas Cowboys.\nClue 77: The person who reads spiritual books is somewhere in between the person who likes sandwiches and the Croatian in that order.\nClue 78: The person who likes Sprite is at one of the ends.\nClue 79: The baseball player is next to the person who lives in the black house.\nClue 80: The person who likes 7up is somewhere in between the volleyball player and the person who likes Sprite in that order.\nClue 81: The person who likes quilting is somewhere in between the saxophone player and the cello player in that order.\nClue 82: The person who supports the Dallas Cowboys is not the person who likes paragliding.\nClue 83: The person who likes weight lifting is at one of the ends.\nClue 84: The person who reads short story books is next to the Israeli.\nClue 85: The person who smokes Blends is not the person who likes snorkeling.\nClue 86: The person who smokes Blends is somewhere in between the person who smokes Dunhill and the dancer in that order.\nClue 87: The person who lives in the magenta house is the person who drives the Hyundai.\nClue 88: The person who likes roses is somewhere in between the artist and the person who likes wine making in that order.\nClue 89: The person who likes wine making is not the person who likes roses.\nClue 90: The person who drives the Kawasaki is the person who likes owls.\nClue 91: The person who likes gardening is next to the teacher.\nClue 92: The designer is next to the person who supports the Celtics.\nClue 93: The Israeli is the person who likes curry.\nClue 94: The person who drives the BMW is the person who likes Fanta.\nClue 95: The person who likes running is not the person who likes begonias.\nClue 96: The piano player is not the person who likes doves.\nClue 97: The person who reads spiritual books is next to the cricket player.\nClue 98: The Irish is at one of the ends.\nClue 99: The person who smokes Salem is at one of the ends.\nClue 100: The person who drives the Mercedes is the Iranian.\nClue 101: The singer is the violin player.\nClue 102: The teacher is somewhere in between the person who likes ligers and Noah in that order.\nClue 103: The person who likes Pepsi is the person who drives the Mercedes.\nClue 104: The person who likes pottery is the person who supports the Suns.\nClue 105: Noah is the actor.\nClue 106: The person who likes daffodils is somewhere to the left of the person who likes doves.\nClue 107: The Bangladeshi is next to the person who drives the Hyundai.\nClue 108: The person who supports the Dallas Cowboys is immediately to the left of the person who smokes Newport.\nClue 109: The designer is at one of the ends.\nClue 110: The saxophone player is the person who likes daffodils.\nClue 111: The person who drives the Mercedes is next to the ice hockey player.\nClue 112: The person who likes Pepsi is the person who likes burgers.\nClue 113: The person who drives the Ferrari is somewhere in between the person who lives in the cyan house and the person who lives in the black house in that order.\nClue 114: The person who supports the Suns is immediately to the left of the person who likes pigs.\nClue 115: The person who likes Pepsi is at one of the ends.\nClue 116: The person who likes pigs is immediately to the left of the person who supports the Lakers.\nClue 117: The person who supports the Green Bay Packers is the person who likes orchids.\nClue 118: Jackson is not the person who likes swimming.\nClue 119: The dancer is not the drums player.\nClue 120: The person who likes tilapia is not the person who supports the Lakers.\nClue 121: The person who drives the Harley-Davidson is the piano player.\nClue 122: Noah is immediately to the left of the person who drives the Yamaha.\nClue 123: The person who supports the Atlanta Falcons is somewhere in between the person who likes swimming and the person who drives the Suzuki in that order.\nClue 124: The cello player is somewhere in between the person who likes quilting and the person who likes running in that order.\nClue 125: The person who supports the Seattle Seahawks is not the person who smokes Marlboro.\nClue 126: The person who likes weight lifting is not the person who likes pottery.\nClue 127: The ice hockey player is the person who reads fantasy books.\nClue 128: The person who drives the Bajaj is next to the cello player.\nClue 129: Rose is next to Mallika.\nClue 130: The person who likes weight lifting is at one of the ends.\nClue 131: The person who likes archery is at one of the ends.\nClue 132: The person who likes kebabs is at one of the ends.\nClue 133: The person who likes sandwiches is the person who lives in the magenta house.\nClue 134: The Serbian is the person who likes sandwiches.\nClue 135: The person who supports the Seattle Seahawks is immediately to the left of the person who drives the Buell.\nClue 136: The person who likes lilies is somewhere to the left of the person who smokes Pall Mall.\nClue 137: The person who drives the McLaren is somewhere to the left of the person who likes soups.\nClue 138: The person who drives the Suzuki is at one of the ends.\nClue 139: The actor is next to the person who supports the Bucks.\nClue 140: The piano player is the person who likes beavers.\n\nQuestion: What position is the person who drives the Tesla at?",
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    "id": "bbeh:zebra_puzzles:081",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone supports a different NBA team: Hawks, Lakers, Cavaliers, Celtics, Bucks.\nEveryone likes a different fruit: grapes, bananas, mangoes, apples, blueberries.\nEveryone likes a different type of gemstone: Sapphires, Emeralds, Topaz, Ambers, Moonstones.\nEveryone has a different favorite soft drink: Pepsi, Mirinda, Dr Pepper, Limca, 7up.\nEveryone has a different favorite hobby: fishing, cheese making, wine making, skiing, astronomy.\nEveryone is a different nationality: Australian, Croatian, Bulgarian, Hungarian, Swiss.\nEveryone lives in a different colored house: cyan, magenta, teal, orange, green.\nEveryone plays a different sport: squash, basketball, tennis, ice hockey, baseball.\nEveryone has a different name: Yair, Mohsen, Rafael, Doug, Rajiv.\nEveryone likes a different physical activity: snorkeling, skiing, scuba diving, biking, hiking.\nEveryone supports a different NFL team: Detroit Lions, Los Angeles Rams, Dallas Cowboys, Philadelphia Eagles, Kansas City Chiefs.\nEveryone likes a different type of flower: daisies, lilies, begonias, orchids, daffodils.\nEveryone owns a different handbag brand: Dolce and Gabbana, Versace, Tumi, Tory Burch, Gucci.\nEveryone has a different profession: artist, dancer, doctor, architect, athlete.\nEveryone drives a different motorbike: Yamaha, Kawasaki, Benelli, Suzuki, Bajaj.\nEveryone plays a different musical instrument: saxophone, piano, violin, harmonica, oboe.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who lives in the cyan house is not the doctor.\nClue 2: The person who owns a Gucci is the Croatian.\nClue 3: The person who drives the Yamaha is somewhere to the left of the person who supports the Philadelphia Eagles.\nClue 4: The person who likes snorkeling is next to the person who drives the Yamaha.\nClue 5: The person who likes Limca is not the Croatian.\nClue 6: The person who drives the Suzuki is the person who likes hiking.\nClue 7: The person who likes astronomy is the person who drives the Kawasaki.\nClue 8: The person who likes wine making is at one of the ends.\nClue 9: The person who supports the Lakers is the person who owns a Gucci.\nClue 10: The person who drives the Bajaj is not the person who likes snorkeling.\nClue 11: The person who lives in the green house is not the person who drives the Kawasaki.\nClue 12: The person who drives the Benelli is the person who supports the Philadelphia Eagles.\nClue 13: The person who likes biking is not the person who supports the Philadelphia Eagles.\nClue 14: The person who lives in the magenta house is at one of the ends.\nClue 15: The person who owns a Tumi is the person who likes Limca.\nClue 16: The person who owns a Dolce and Gabbana is not the artist.\nClue 17: The person who owns a Versace is not the person who likes snorkeling.\nClue 18: The Hungarian is not the person who likes begonias.\nClue 19: The person who supports the Philadelphia Eagles is next to the person who drives the Kawasaki.\nClue 20: The person who likes Ambers is next to the person who eats grapes.\nClue 21: The harmonica player is immediately to the left of Yair.\nClue 22: The person who lives in the magenta house is at one of the ends.\nClue 23: The athlete is the person who likes cheese making.\nClue 24: The Hungarian is immediately to the left of the person who likes skiing.\nClue 25: The person who likes wine making is not the Hungarian.\nClue 26: The Swiss is the person who lives in the green house.\nClue 27: The person who likes daffodils is somewhere in between the person who likes skiing and the person who likes astronomy in that order.\nClue 28: The violin player is at one of the ends.\nClue 29: The person who supports the Bucks is immediately to the left of the person who likes snorkeling.\nClue 30: The person who lives in the magenta house is immediately to the left of the Hungarian.\nClue 31: The architect is at one of the ends.\nClue 32: The person who supports the Philadelphia Eagles is the person who drives the Benelli.\nClue 33: The Swiss is immediately to the left of the person who owns a Gucci.\nClue 34: The athlete is somewhere in between the person who likes Mirinda and the person who supports the Celtics in that order.\nClue 35: The person who likes Pepsi is the person who supports the Philadelphia Eagles.\nClue 36: The person who supports the Bucks is somewhere in between the person who lives in the magenta house and the person who likes fishing in that order.\nClue 37: The person who supports the Hawks is at one of the ends.\nClue 38: The person who likes daffodils is somewhere in between the person who owns a Tory Burch and the person who lives in the orange house in that order.\nClue 39: The person who owns a Versace is not the person who supports the Dallas Cowboys.\nClue 40: The person who supports the Dallas Cowboys is somewhere in between the person who likes hiking and the person who likes Dr Pepper in that order.\nClue 41: The person who supports the Philadelphia Eagles is not the person who likes hiking.\nClue 42: The person who likes Pepsi is immediately to the left of the person who likes daisies.\nClue 43: The Hungarian is somewhere in between the person who supports the Hawks and the person who likes snorkeling in that order.\nClue 44: The person who owns a Gucci is the person who likes fishing.\nClue 45: The person who supports the Detroit Lions is the person who drives the Suzuki.\nClue 46: The Croatian is somewhere in between the doctor and the person who likes daisies in that order.\nClue 47: The person who owns a Tumi is immediately to the left of the person who supports the Bucks.\nClue 48: The person who likes Moonstones is Mohsen.\nClue 49: The piano player is the person who eats blueberries.\nClue 50: The person who drives the Yamaha is somewhere to the left of the person who likes 7up.\nClue 51: The person who likes Limca is not the person who owns a Dolce and Gabbana.\nClue 52: The person who likes Dr Pepper is somewhere in between the person who supports the Dallas Cowboys and the person who lives in the orange house in that order.\nClue 53: The architect is next to the Hungarian.\nClue 54: Rafael is immediately to the left of Rajiv.\nClue 55: The person who likes skiing is the person who likes 7up.\nClue 56: The Swiss is somewhere in between the person who supports the Detroit Lions and the person who likes fishing in that order.\nClue 57: The tennis player is at one of the ends.\nClue 58: The basketball player is Doug.\nClue 59: The Croatian is somewhere in between the person who owns a Tumi and the person who lives in the orange house in that order.\nClue 60: The person who owns a Versace is somewhere to the left of the artist.\nClue 61: The person who likes Emeralds is somewhere in between the person at the 3rd position and the person who eats mangoes in that order.\nClue 62: The oboe player is the person who eats mangoes.\nClue 63: Yair is next to the person who eats mangoes.\nClue 64: The person who supports the Cavaliers is somewhere in between the person who likes orchids and the person who drives the Benelli in that order.\nClue 65: The person who likes lilies is somewhere in between the person who lives in the magenta house and the doctor in that order.\nClue 66: The person who likes astronomy is at one of the ends.\nClue 67: The Hungarian is somewhere in between the person who likes wine making and the person who drives the Yamaha in that order.\nClue 68: The person who eats bananas is the harmonica player.\nClue 69: The person who likes Dr Pepper is somewhere in between the person who supports the Dallas Cowboys and the person who likes skiing in that order.\nClue 70: The person who eats apples is next to the ice hockey player.\nClue 71: The person who likes Topaz is somewhere to the left of the person at the 3rd position.\nClue 72: The squash player is somewhere to the left of the baseball player.\nClue 73: The athlete is somewhere to the left of the Swiss.\nClue 74: The person who likes fishing is immediately to the left of the person who drives the Kawasaki.\nClue 75: The person who supports the Dallas Cowboys is immediately to the left of the person who owns a Versace.\nClue 76: The person who supports the Kansas City Chiefs is at one of the ends.\nClue 77: The person who likes Sapphires is immediately to the left of the person who likes Ambers.\nClue 78: The person who drives the Yamaha is somewhere to the left of the person who likes fishing.\nClue 79: The person who likes astronomy is not the person who owns a Versace.\nClue 80: The person who likes wine making is immediately to the left of the athlete.\nClue 81: The Hungarian is the person who likes biking.\nClue 82: The person who likes cheese making is not the person who lives in the cyan house.\nClue 83: The person who drives the Benelli is the person who likes daffodils.\nClue 84: The person who supports the Cavaliers is immediately to the left of the person who supports the Los Angeles Rams.\nClue 85: The Swiss is not the person who owns a Tumi.\nClue 86: The person who lives in the green house is somewhere in between the architect and the person who likes snorkeling in that order.\nClue 87: The person who likes wine making is somewhere to the left of the person who likes snorkeling.\nClue 88: The person who supports the Kansas City Chiefs is not the artist.\nClue 89: The person who likes biking is somewhere to the left of the person who supports the Los Angeles Rams.\nClue 90: The person who drives the Benelli is next to the person who supports the Celtics.\nClue 91: The person who drives the Kawasaki is at one of the ends.\nClue 92: The piano player is somewhere to the left of the squash player.\nClue 93: The person who supports the Cavaliers is not the Swiss.\nClue 94: The person who likes skiing is somewhere to the left of the artist.\nClue 95: The person who lives in the cyan house is somewhere in between the person who supports the Bucks and the person who likes skiing in that order.\nClue 96: The person who supports the Kansas City Chiefs is the dancer.\nClue 97: The person who lives in the cyan house is somewhere in between the person who likes cheese making and the person who supports the Kansas City Chiefs in that order.\nClue 98: The person who likes Mirinda is next to the person who owns a Tumi.\nClue 99: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 100: The person who drives the Yamaha is somewhere to the left of the person who likes 7up.\nClue 101: The Croatian is somewhere to the left of the dancer.\nClue 102: The person who owns a Gucci is not the person who likes skiing.\nClue 103: The person who likes daisies is the person who supports the Celtics.\nClue 104: The person who likes skiing is not the person who supports the Hawks.\nClue 105: The person who supports the Kansas City Chiefs is at one of the ends.\nClue 106: The saxophone player is not the baseball player.\nClue 107: The person who eats blueberries is somewhere to the left of the person at the 4th position.\nClue 108: The person who likes wine making is immediately to the left of the Hungarian.\nClue 109: The person who likes fishing is the person who owns a Gucci.\nClue 110: The architect is somewhere to the left of the person who likes scuba diving.\nClue 111: The person who likes daisies is at one of the ends.\nClue 112: The person who drives the Suzuki is at one of the ends.\nClue 113: The person who owns a Tory Burch is at one of the ends.\nClue 114: The person who owns a Tory Burch is not the person who likes cheese making.\nClue 115: The doctor is not the person who supports the Hawks.\nClue 116: The person who supports the Hawks is not the person who likes 7up.\nClue 117: The person who owns a Versace is next to the person who likes lilies.\nClue 118: The person who supports the Los Angeles Rams is not the person who owns a Tumi.\nClue 119: The artist is immediately to the left of the person who likes daisies.\n\nQuestion: What position is the person who eats bananas at?",
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    "id": "bbeh:zebra_puzzles:083",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite hobby: welding, pottery, parkour, stamp collecting, kayaking.\nEveryone smokes a different cigarette: Salem, Pall Mall, Dunhill, Blue Master, Winston.\nEveryone supports a different NFL team: New England Patriots, Carolina Panthers, Dallas Cowboys, Atlanta Falcons, Arizona Cardinals.\nEveryone drinks a different drink: beer, tea, milk, water, iced coffee.\nEveryone likes a different physical activity: base jumping, skiing, running, bungee jumping, snorkeling.\nEveryone likes a different type of gemstone: Moonstones, Corals, Ambers, Aquamarines, Jade.\nEveryone supports a different NBA team: Knicks, Celtics, Hawks, Mavericks, Lakers.\nEveryone owns a different handbag brand: Tory Burch, Kate Spade, Michael Kors, Coach, Balenciaga.\nEveryone has a different name: Trinity, Yair, Drew, Katherine, Rajiv.\nEveryone has a different profession: engineer, singer, writer, programmer, actor.\nEveryone lives in a different colored house: pink, orange, white, magenta, blue.\nEveryone is a different nationality: German, Bulgarian, Chilean, Mexican, Portuguese.\nEveryone likes a different favorite animal: finches, doves, doctorfish, squirrels, beetles.\nEveryone plays a different sport: ice hockey, cricket, badminton, baseball, basketball.\nEveryone likes a different food: pasta, pizza, fried rice, curry, burgers.\nEveryone reads a different genre of books: humor, spiritual, magical realism, mystery, history.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Coach is the person who likes running.\nClue 2: The person who likes curry is somewhere to the left of Yair.\nClue 3: The person who likes pasta is the person who smokes Winston.\nClue 4: The person who supports the Carolina Panthers is somewhere in between the Bulgarian and the baseball player in that order.\nClue 5: The person who owns a Coach is somewhere to the left of the person who reads humor books.\nClue 6: The person who lives in the blue house is the person who reads spiritual books.\nClue 7: The person who lives in the blue house is somewhere in between Trinity and the person who supports the Knicks in that order.\nClue 8: The person who drinks iced coffee is not the person who owns a Tory Burch.\nClue 9: The person who likes curry is not the person who smokes Blue Master.\nClue 10: The Mexican is the person who likes doves.\nClue 11: The person who likes welding is somewhere in between the person who lives in the blue house and the person who drinks iced coffee in that order.\nClue 12: The person who supports the Celtics is not the person who smokes Winston.\nClue 13: The person who reads humor books is not Yair.\nClue 14: The person who drinks tea is somewhere in between the person who reads spiritual books and the person who likes parkour in that order.\nClue 15: The person who smokes Pall Mall is next to the person who owns a Coach.\nClue 16: The person who likes pizza is next to the person who likes bungee jumping.\nClue 17: The person who reads history books is not the person who likes running.\nClue 18: The person who lives in the blue house is somewhere in between the person who smokes Dunhill and the person who reads mystery books in that order.\nClue 19: The person who supports the Lakers is not the person who lives in the magenta house.\nClue 20: The person who likes stamp collecting is not the person who smokes Winston.\nClue 21: The person who lives in the blue house is somewhere in between the person who lives in the white house and the person who lives in the orange house in that order.\nClue 22: The person who likes curry is immediately to the left of Drew.\nClue 23: The person who owns a Coach is not the person who likes parkour.\nClue 24: The person who smokes Dunhill is next to the person who likes base jumping.\nClue 25: The person who owns a Michael Kors is the person who likes burgers.\nClue 26: The person who supports the New England Patriots is the cricket player.\nClue 27: The person who likes Ambers is next to the person who smokes Dunhill.\nClue 28: The person who owns a Kate Spade is next to the person who drinks water.\nClue 29: The person who supports the New England Patriots is at one of the ends.\nClue 30: The person who likes parkour is the person who reads humor books.\nClue 31: The person who smokes Salem is at one of the ends.\nClue 32: The person who likes snorkeling is somewhere in between the person who smokes Dunhill and the person who likes Moonstones in that order.\nClue 33: The person who likes skiing is at one of the ends.\nClue 34: The person who likes doctorfish is at one of the ends.\nClue 35: Drew is next to the person who likes pasta.\nClue 36: The person who supports the Knicks is immediately to the left of the person who owns a Michael Kors.\nClue 37: The person who reads mystery books is somewhere to the left of the person who owns a Michael Kors.\nClue 38: Yair is somewhere in between the person who drinks water and the person who owns a Michael Kors in that order.\nClue 39: The person who lives in the orange house is immediately to the left of the person who reads humor books.\nClue 40: The person who owns a Coach is the person who reads mystery books.\nClue 41: The person who reads spiritual books is the person who drinks beer.\nClue 42: Trinity is next to the person who supports the Celtics.\nClue 43: The person who lives in the blue house is not the person who supports the Hawks.\nClue 44: The person who lives in the blue house is somewhere in between the person who likes base jumping and Katherine in that order.\nClue 45: The person who lives in the white house is somewhere in between Rajiv and the person who drinks beer in that order.\nClue 46: The person who owns a Tory Burch is somewhere in between the person who reads history books and the person who likes kayaking in that order.\nClue 47: The person who likes snorkeling is immediately to the left of the person who reads mystery books.\nClue 48: The person who owns a Kate Spade is next to the person who likes Jade.\nClue 49: The person who drinks water is not the person who likes skiing.\nClue 50: The person who likes Ambers is not the person who supports the Celtics.\nClue 51: The person who lives in the magenta house is at one of the ends.\nClue 52: The person who reads magical realism books is somewhere to the left of the person who lives in the orange house.\nClue 53: The Bulgarian is the person who supports the Atlanta Falcons.\nClue 54: The Bulgarian is the badminton player.\nClue 55: The person who smokes Winston is not the person who reads humor books.\nClue 56: The person who likes curry is next to the person who likes stamp collecting.\nClue 57: The person who lives in the orange house is somewhere in between the person who reads spiritual books and Katherine in that order.\nClue 58: The person who likes pasta is not the person who likes skiing.\nClue 59: Trinity is the person who smokes Dunhill.\nClue 60: The person who likes base jumping is somewhere to the left of the person who lives in the orange house.\nClue 61: The person who smokes Pall Mall is not the person who likes pizza.\nClue 62: The Bulgarian is somewhere in between the Mexican and the basketball player in that order.\nClue 63: Drew is the person who drinks beer.\nClue 64: The person who likes Ambers is next to the person who smokes Dunhill.\nClue 65: The person who likes pasta is the person who smokes Winston.\nClue 66: The Portuguese is next to the German.\nClue 67: The person who reads humor books is the person who smokes Pall Mall.\nClue 68: The person who owns a Balenciaga is somewhere in between the person who smokes Dunhill and the person who drinks tea in that order.\nClue 69: Katherine is not the person who owns a Tory Burch.\nClue 70: The programmer is the Bulgarian.\nClue 71: The person who likes pottery is next to the person who smokes Salem.\nClue 72: The baseball player is immediately to the left of the person who supports the New England Patriots.\nClue 73: The person who smokes Blue Master is next to the person who drinks tea.\nClue 74: The person who owns a Kate Spade is not the person who likes snorkeling.\nClue 75: The person who lives in the magenta house is at one of the ends.\nClue 76: The person who owns a Tory Burch is not Yair.\nClue 77: The person who reads mystery books is somewhere in between the person who likes Jade and the person who likes skiing in that order.\nClue 78: The person who likes snorkeling is somewhere to the left of the person who likes skiing.\nClue 79: The baseball player is immediately to the left of the Chilean.\nClue 80: Drew is immediately to the left of the person who likes welding.\nClue 81: The engineer is the person who supports the New England Patriots.\nClue 82: The programmer is immediately to the left of the actor.\nClue 83: The person who supports the Dallas Cowboys is somewhere to the left of the person who likes squirrels.\nClue 84: The person who supports the Dallas Cowboys is at one of the ends.\nClue 85: The person who lives in the blue house is somewhere to the left of the person who likes running.\nClue 86: The person who supports the Knicks is somewhere to the left of the person who lives in the magenta house.\nClue 87: The person who lives in the blue house is not the person who drinks water.\nClue 88: The person who lives in the pink house is the person who drinks milk.\nClue 89: The person who likes fried rice is next to Trinity.\nClue 90: The person who likes stamp collecting is not the person who likes pasta.\nClue 91: The person who lives in the magenta house is not the person who likes stamp collecting.\nClue 92: The person who likes Ambers is immediately to the left of the person who lives in the white house.\nClue 93: The person who likes pottery is somewhere to the left of the person who smokes Blue Master.\nClue 94: The person who supports the Knicks is somewhere in between the person who likes Aquamarines and Katherine in that order.\nClue 95: The person who likes skiing is not the person who drinks water.\nClue 96: The person who smokes Dunhill is next to the person who likes base jumping.\nClue 97: The person who drinks tea is the person who likes pasta.\nClue 98: The person who drinks beer is somewhere in between the person who supports the Lakers and the person who likes welding in that order.\nClue 99: The badminton player is somewhere to the left of the person who likes squirrels.\nClue 100: The person who drinks tea is somewhere in between Trinity and the person who reads humor books in that order.\nClue 101: The person who supports the New England Patriots is next to the singer.\nClue 102: The person who lives in the pink house is not the person who supports the Hawks.\nClue 103: The person who reads mystery books is the person who drinks tea.\nClue 104: The person who likes Jade is somewhere in between the person who likes stamp collecting and the person who likes fried rice in that order.\nClue 105: The person who drinks water is somewhere in between the person who lives in the pink house and the person who smokes Blue Master in that order.\nClue 106: The person who likes pizza is somewhere to the left of the person who reads magical realism books.\nClue 107: The person who lives in the orange house is immediately to the left of the person who smokes Pall Mall.\nClue 108: Drew is immediately to the left of the person who supports the Knicks.\nClue 109: The person who supports the Carolina Panthers is the person who likes beetles.\nClue 110: The Portuguese is not the baseball player.\nClue 111: The person who likes welding is somewhere in between the person who likes curry and the person who likes Corals in that order.\nClue 112: The person who supports the Hawks is not Yair.\nClue 113: The person who likes Jade is next to the person who likes base jumping.\nClue 114: The person who likes snorkeling is the person who lives in the blue house.\nClue 115: The person who likes curry is next to the person who likes kayaking.\nClue 116: The person who supports the Mavericks is immediately to the left of the person who reads spiritual books.\nClue 117: The person who likes pasta is somewhere in between the person who supports the Mavericks and the person who likes Corals in that order.\nClue 118: The person who drinks beer is immediately to the left of Yair.\nClue 119: The person who lives in the magenta house is at one of the ends.\nClue 120: The person who supports the Celtics is somewhere to the left of the person who reads mystery books.\n\nQuestion: What position is the person who likes doctorfish at?",
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    "id": "bbeh:zebra_puzzles:085",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drives a different car: Toyota, Ford, McLaren, BMW, Ferrari, Hyundai, Honda.\nEveryone likes a different food: sandwiches, noodles, fried rice, curry, tacos, soups, burgers.\nEveryone owns a different handbag brand: Gucci, Michael Kors, Balenciaga, Coach, Kate Spade, Tory Burch, Versace.\nEveryone plays a different musical instrument: violin, cello, oboe, saxophone, guitar, flute, harmonica.\nEveryone has a different name: Michael, Nour, Jackson, Bob, Mohsen, Yair, Doug.\nEveryone drinks a different drink: iced coffee, tea, milk, lemonade, coffee, hot chocolate, orange juice.\nEveryone reads a different genre of books: romance, spiritual, history, fantasy, science fiction, humor, short story.\nEveryone has a different favorite hobby: horse riding, skiing, gardening, dancing, origami, parkour, biking.\nEveryone likes a different physical activity: paragliding, weight lifting, running, scuba diving, hiking, bungee jumping, snorkeling.\nEveryone likes a different type of gemstone: Corals, Emeralds, Pearls, Ambers, Gypsum, Opals, Moonstones.\nEveryone lives in a different colored house: pink, silver, violet, yellow, teal, black, magenta.\nEveryone likes a different fruit: kiwis, mangoes, bananas, grapes, oranges, blueberries, raspberries.\nEveryone is a different nationality: Irish, Chinese, Russian, Canadian, Belarusian, Malaysian, Indian.\nEveryone plays a different sport: table tennis, basketball, baseball, cricket, squash, soccer, volleyball.\nEveryone supports a different NFL team: Cincinnati Bengals, Pittsburgh Steelers, Philadelphia Eagles, Dallas Cowboys, Detroit Lions, Tennessee Titans, Green Bay Packers.\nEveryone likes a different favorite animal: beetles, donkeys, grasshoppers, kudus, whales, wolverines, hummingbirds.\nEveryone drives a different motorbike: Harley-Davidson, Kawasaki, Suzuki, Ducati, Honda, Buell, Benelli.\nEveryone has a different profession: teacher, writer, artist, athlete, engineer, singer, designer.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Tory Burch is at one of the ends.\nClue 2: Nour is not the cello player.\nClue 3: The squash player is immediately to the left of the baseball player.\nClue 4: The person who likes hiking is not the cello player.\nClue 5: The person who eats blueberries is not the person who likes scuba diving.\nClue 6: The Belarusian is the person who drives the Benelli.\nClue 7: The person who likes horse riding is not the teacher.\nClue 8: The person who owns a Versace is immediately to the left of the teacher.\nClue 9: The person who drives the BMW is somewhere in between the person who likes Pearls and the person who drives the Ferrari in that order.\nClue 10: The person who supports the Philadelphia Eagles is somewhere in between the flute player and the person who likes scuba diving in that order.\nClue 11: The person who eats grapes is next to the person who eats blueberries.\nClue 12: The person who likes bungee jumping is next to Yair.\nClue 13: The person who likes soups is somewhere in between the person who likes noodles and the person who likes beetles in that order.\nClue 14: The person who likes Corals is somewhere to the left of the person who likes Pearls.\nClue 15: The person who likes burgers is somewhere to the left of the person who likes soups.\nClue 16: The person who drinks coffee is somewhere in between Mohsen and the person who drinks milk in that order.\nClue 17: The person who reads fantasy books is somewhere in between the person who likes Moonstones and the person who reads spiritual books in that order.\nClue 18: The person who drives the Suzuki is somewhere in between the person who owns a Coach and the writer in that order.\nClue 19: The person who drinks hot chocolate is the person who supports the Dallas Cowboys.\nClue 20: The Indian is not the teacher.\nClue 21: The person who drives the BMW is the teacher.\nClue 22: The singer is not the person who owns a Kate Spade.\nClue 23: The singer is somewhere in between the person who drives the Ford and the person who likes Moonstones in that order.\nClue 24: The person who drinks tea is somewhere in between the violin player and the person who eats kiwis in that order.\nClue 25: The person who likes horse riding is somewhere to the left of the person who likes soups.\nClue 26: The person who likes kudus is immediately to the left of the person who drives the BMW.\nClue 27: The person who drives the Toyota is not the person who likes Ambers.\nClue 28: The person who likes biking is the person who likes whales.\nClue 29: The person who likes Moonstones is the person who drives the Kawasaki.\nClue 30: The person who lives in the teal house is at one of the ends.\nClue 31: The person who reads humor books is the person who likes tacos.\nClue 32: The person who drives the Hyundai is immediately to the left of the person who reads spiritual books.\nClue 33: The person who drives the Kawasaki is somewhere in between the Russian and the person who drives the Honda in that order.\nClue 34: The person who lives in the magenta house is the Chinese.\nClue 35: The Canadian is the person who owns a Balenciaga.\nClue 36: The person who owns a Kate Spade is the person who lives in the teal house.\nClue 37: The person who likes beetles is the person who reads spiritual books.\nClue 38: The harmonica player is immediately to the left of the flute player.\nClue 39: The person who drives the Hyundai is somewhere in between the person who owns a Versace and the writer in that order.\nClue 40: The person who likes horse riding is immediately to the left of the person who likes parkour.\nClue 41: The Indian is somewhere in between the person who drives the Buell and the Irish in that order.\nClue 42: The person who likes parkour is immediately to the left of the artist.\nClue 43: The Canadian is the person who lives in the silver house.\nClue 44: The person who supports the Cincinnati Bengals is the table tennis player.\nClue 45: The person who reads history books is somewhere to the left of the person who drives the Hyundai.\nClue 46: The person who likes sandwiches is at one of the ends.\nClue 47: The person who owns a Michael Kors is the person who likes skiing.\nClue 48: The saxophone player is at one of the ends.\nClue 49: The person who likes Ambers is the person who lives in the pink house.\nClue 50: The person who likes scuba diving is at one of the ends.\nClue 51: The person who drives the Suzuki is somewhere in between the person who lives in the teal house and the person who drives the Honda in that order.\nClue 52: Bob is the person who drinks orange juice.\nClue 53: The Malaysian is the writer.\nClue 54: The person who eats oranges is at one of the ends.\nClue 55: The person who drives the Toyota is not the person who likes Pearls.\nClue 56: The person who supports the Pittsburgh Steelers is the person who likes bungee jumping.\nClue 57: The person who owns a Coach is the person who reads history books.\nClue 58: The person who drives the Hyundai is somewhere in between the person who owns a Coach and the person who lives in the black house in that order.\nClue 59: The artist is somewhere in between the person who likes grasshoppers and the person who likes sandwiches in that order.\nClue 60: The person who drives the Harley-Davidson is somewhere to the left of the person who likes Ambers.\nClue 61: The person who likes Pearls is not the person who reads spiritual books.\nClue 62: Yair is the person who drinks iced coffee.\nClue 63: The person who owns a Coach is somewhere to the left of the person who likes Ambers.\nClue 64: The person who drives the Hyundai is not the person who likes burgers.\nClue 65: Mohsen is the person who eats kiwis.\nClue 66: The person who drives the Buell is not the person who likes horse riding.\nClue 67: The person who owns a Kate Spade is at one of the ends.\nClue 68: The person who likes Pearls is immediately to the left of the person who owns a Gucci.\nClue 69: The person who drinks milk is next to the cricket player.\nClue 70: The person who likes hummingbirds is somewhere in between the person who likes burgers and the person who drives the Honda in that order.\nClue 71: The Russian is at one of the ends.\nClue 72: The person who reads short story books is somewhere in between the person who likes noodles and the person who likes hummingbirds in that order.\nClue 73: The person who likes soups is immediately to the left of the person who reads fantasy books.\nClue 74: The person who drinks orange juice is somewhere to the left of the person who supports the Philadelphia Eagles.\nClue 75: The person who reads science fiction books is not the person who likes tacos.\nClue 76: The person at the 4th position is the person who likes snorkeling.\nClue 77: The person who owns a Balenciaga is immediately to the left of the person who lives in the violet house.\nClue 78: The person who supports the Pittsburgh Steelers is the squash player.\nClue 79: The person who drives the Ford is somewhere in between the person who drives the Honda and the person who likes gardening in that order.\nClue 80: The person who drives the Harley-Davidson is somewhere in between the person who likes noodles and the person who likes curry in that order.\nClue 81: The person who likes parkour is not the person who likes fried rice.\nClue 82: The person who drives the Hyundai is immediately to the left of the person who likes dancing.\nClue 83: The person who eats blueberries is at one of the ends.\nClue 84: The person who drives the Toyota is at one of the ends.\nClue 85: The person who drives the Ducati is at one of the ends.\nClue 86: The violin player is immediately to the left of the person who eats bananas.\nClue 87: The Irish is somewhere in between the artist and the person who lives in the black house in that order.\nClue 88: The person who owns a Coach is the person who drives the Kawasaki.\nClue 89: The person who likes kudus is somewhere in between the person who reads romance books and the person who likes grasshoppers in that order.\nClue 90: The person who supports the Detroit Lions is the baseball player.\nClue 91: The person who owns a Gucci is next to the person who likes noodles.\nClue 92: The person who likes wolverines is the person who drives the Suzuki.\nClue 93: The Belarusian is somewhere to the left of the person who drives the Suzuki.\nClue 94: The squash player is next to the person who likes weight lifting.\nClue 95: The person who likes gardening is next to the person who drives the Suzuki.\nClue 96: The volleyball player is next to the person who drinks hot chocolate.\nClue 97: The person who likes soups is immediately to the left of the person who reads fantasy books.\nClue 98: The person who likes horse riding is immediately to the left of the person who drives the BMW.\nClue 99: The person who likes Moonstones is somewhere to the left of the person who reads fantasy books.\nClue 100: The person who drinks orange juice is at one of the ends.\nClue 101: The person who owns a Michael Kors is the person who likes Ambers.\nClue 102: The person who likes donkeys is somewhere to the left of the person who drives the Ford.\nClue 103: Michael is immediately to the left of the person at the 4th position.\nClue 104: The person who likes wolverines is the person who owns a Michael Kors.\nClue 105: The harmonica player is somewhere in between the person who supports the Green Bay Packers and the volleyball player in that order.\nClue 106: The table tennis player is the person who likes snorkeling.\nClue 107: The oboe player is next to the person who supports the Tennessee Titans.\nClue 108: The person who drives the Ferrari is not the person who likes curry.\nClue 109: The person who likes kudus is somewhere to the left of the artist.\nClue 110: The violin player is Yair.\nClue 111: The guitar player is at one of the ends.\nClue 112: The person who likes biking is somewhere to the left of the writer.\nClue 113: The person who drinks milk is the volleyball player.\nClue 114: The person who likes gardening is somewhere to the left of the Irish.\nClue 115: The person who likes noodles is somewhere in between the person who likes donkeys and the person who owns a Tory Burch in that order.\nClue 116: The person who likes donkeys is at one of the ends.\nClue 117: The person who likes donkeys is not the person who likes Moonstones.\nClue 118: The basketball player is next to the person who eats mangoes.\nClue 119: The person who likes biking is the person who owns a Balenciaga.\nClue 120: The person who drives the Ferrari is somewhere in between the Chinese and the person who lives in the black house in that order.\nClue 121: The person who drinks milk is somewhere in between the person who eats raspberries and the basketball player in that order.\nClue 122: The person who reads humor books is immediately to the left of the person who drives the Buell.\nClue 123: The person who lives in the black house is not the person who drives the Ferrari.\nClue 124: The person who likes Opals is not the person who drives the Ferrari.\nClue 125: The person who likes biking is the person who owns a Balenciaga.\nClue 126: The person who supports the Pittsburgh Steelers is at one of the ends.\nClue 127: Nour is next to the table tennis player.\nClue 128: The person who reads humor books is at one of the ends.\nClue 129: The athlete is at one of the ends.\nClue 130: The person who lives in the violet house is the person who reads science fiction books.\nClue 131: The person who likes Ambers is not the person who reads short story books.\nClue 132: The person who drives the Benelli is somewhere to the left of the person who reads history books.\nClue 133: The person who reads science fiction books is next to the person who lives in the magenta house.\nClue 134: The person who owns a Gucci is not the engineer.\nClue 135: The person who likes fried rice is not the person who lives in the yellow house.\nClue 136: The person who owns a Kate Spade is the person who likes donkeys.\nClue 137: The person who drives the McLaren is somewhere in between the person who drives the Ford and the person who reads fantasy books in that order.\nClue 138: The person who reads fantasy books is somewhere in between the person who drives the McLaren and the person who likes sandwiches in that order.\nClue 139: The guitar player is not the person who eats oranges.\nClue 140: Nour is somewhere to the left of the person who likes hiking.\nClue 141: The person who drives the Ford is immediately to the left of the person who drives the Benelli.\nClue 142: The person who likes curry is the person who reads fantasy books.\nClue 143: Jackson is next to the person who likes running.\n\nQuestion: What position is the person who likes weight lifting at?",
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    "dataset": "bbeh",
    "family": "288e11d4512830570dcf28fcf577210d3987312808eb335a90626185565869b8",
    "id": "bbeh:zebra_puzzles:087",
    "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone drives a different motorbike: Honda, Piaggio, Yamaha, Bajaj, Harley-Davidson, Kawasaki.\nEveryone reads a different genre of books: humor, fantasy, mystery, science fiction, history, romance.\nEveryone likes a different food: kebabs, noodles, burgers, sandwiches, curry, soups.\nEveryone smokes a different cigarette: Pall Mall, Marlboro, Camel, Newport, Winston, Blue Master.\nEveryone supports a different NBA team: Lakers, Knicks, Bucks, Suns, Hawks, Mavericks.\nEveryone supports a different NFL team: Baltimore Ravens, Pittsburgh Steelers, Miami Dolphins, Green Bay Packers, Arizona Cardinals, Kansas City Chiefs.\nEveryone plays a different sport: soccer, tennis, squash, table tennis, badminton, cricket.\nEveryone owns a different handbag brand: Versace, Tory Burch, Michael Kors, Tumi, Coach, Polo Ralph Lauren.\nEveryone plays a different musical instrument: cello, drums, piano, violin, flute, saxophone.\nEveryone has a different profession: singer, programmer, dancer, artist, engineer, writer.\nEveryone likes a different favorite animal: crocodiles, tilapia, lobsters, owls, dinosaurs, cougars.\nEveryone likes a different type of gemstone: Aquamarines, Sapphires, Dolomites, Pearls, Moonstones, Jade.\nEveryone drives a different car: Toyota, BMW, Lexus, Hyundai, Kia, Ferrari.\nEveryone likes a different type of flower: daffodils, dahlias, carnations, peonies, orchids, lilies.\nEveryone likes a different physical activity: scuba diving, paragliding, base jumping, skiing, running, weight lifting.\nEveryone has a different favorite soft drink: 7up, Mirinda, Coke, Gatorade, Pepsi, Sprite.\nEveryone likes a different fruit: raspberries, pears, blackberries, apples, kiwis, strawberries.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The piano player is not the person who likes noodles.\nClue 2: The person who smokes Winston is the person who likes Pearls.\nClue 3: The person who supports the Suns is somewhere in between the person who likes lobsters and the person who drives the Yamaha in that order.\nClue 4: The singer is not the person who likes running.\nClue 5: The person who likes crocodiles is somewhere to the left of the person who likes tilapia.\nClue 6: The person who reads romance books is the person who likes base jumping.\nClue 7: The person who eats raspberries is somewhere in between the person who owns a Tumi and the person who likes orchids in that order.\nClue 8: The person who likes Pearls is not the person who supports the Suns.\nClue 9: The person who likes soups is somewhere to the left of the cello player.\nClue 10: The person who likes skiing is next to the person who likes dinosaurs.\nClue 11: The squash player is the singer.\nClue 12: The person who likes sandwiches is at one of the ends.\nClue 13: The tennis player is not the person who likes scuba diving.\nClue 14: The person who likes paragliding is somewhere in between the person who supports the Lakers and the tennis player in that order.\nClue 15: The person who likes base jumping is somewhere to the left of the person who likes curry.\nClue 16: The person who owns a Versace is immediately to the left of the person who owns a Coach.\nClue 17: The cricket player is next to the squash player.\nClue 18: The person who drives the Lexus is next to the person who drives the Hyundai.\nClue 19: The person who likes Moonstones is not the violin player.\nClue 20: The person who eats apples is next to the person who supports the Arizona Cardinals.\nClue 21: The soccer player is not the person who supports the Mavericks.\nClue 22: The person who reads romance books is at one of the ends.\nClue 23: The person who supports the Pittsburgh Steelers is the person who likes orchids.\nClue 24: The violin player is somewhere in between the person who smokes Blue Master and the person who likes Sapphires in that order.\nClue 25: The person who likes tilapia is somewhere in between the person who supports the Lakers and the person who drives the Yamaha in that order.\nClue 26: The person who likes Pepsi is the person who supports the Green Bay Packers.\nClue 27: The person who likes cougars is at one of the ends.\nClue 28: The flute player is somewhere in between the person who likes kebabs and the person who likes sandwiches in that order.\nClue 29: The table tennis player is somewhere in between the saxophone player and the person who likes weight lifting in that order.\nClue 30: The person who supports the Kansas City Chiefs is the person who likes Mirinda.\nClue 31: The person who reads science fiction books is the person who likes scuba diving.\nClue 32: The person who likes owls is the tennis player.\nClue 33: The saxophone player is immediately to the left of the table tennis player.\nClue 34: The person who supports the Baltimore Ravens is immediately to the left of the person who likes Mirinda.\nClue 35: The person who likes Jade is not the person who likes dinosaurs.\nClue 36: The person who supports the Bucks is not the person who reads history books.\nClue 37: The person who smokes Newport is immediately to the left of the person who drives the Yamaha.\nClue 38: The violin player is somewhere to the left of the person who reads mystery books.\nClue 39: The person who drives the BMW is somewhere in between the person who likes daffodils and the person who owns a Polo Ralph Lauren in that order.\nClue 40: The person who likes Moonstones is not the person who supports the Bucks.\nClue 41: The person who reads humor books is the tennis player.\nClue 42: The person who likes paragliding is somewhere in between the person who likes Jade and the person who supports the Mavericks in that order.\nClue 43: The person who likes skiing is the squash player.\nClue 44: The person who owns a Versace is next to the person who owns a Tumi.\nClue 45: The cello player is at one of the ends.\nClue 46: The person who likes cougars is the soccer player.\nClue 47: The person who likes scuba diving is the person who likes Dolomites.\nClue 48: The person who likes lilies is the person who supports the Baltimore Ravens.\nClue 49: The person who drives the Hyundai is at one of the ends.\nClue 50: The programmer is the person who likes base jumping.\nClue 51: The person who drives the Harley-Davidson is the singer.\nClue 52: The table tennis player is somewhere in between the saxophone player and the person who likes owls in that order.\nClue 53: The person who likes kebabs is at one of the ends.\nClue 54: The person who likes soups is the person who drives the Piaggio.\nClue 55: The person who likes running is somewhere to the left of the singer.\nClue 56: The person who supports the Kansas City Chiefs is the person who likes peonies.\nClue 57: The person who reads romance books is at one of the ends.\nClue 58: The person who likes Sapphires is somewhere to the left of the person who reads history books.\nClue 59: The person who smokes Marlboro is immediately to the left of the person who smokes Newport.\nClue 60: The soccer player is the person who reads romance books.\nClue 61: The person who drives the Yamaha is the person who likes owls.\nClue 62: The person who drives the Kawasaki is not the badminton player.\nClue 63: The person who likes kebabs is the person who drives the Honda.\nClue 64: The artist is somewhere in between the person who smokes Winston and the person who supports the Mavericks in that order.\nClue 65: The person who likes paragliding is somewhere in between the cricket player and the person who reads humor books in that order.\nClue 66: The person who drives the Honda is at one of the ends.\nClue 67: The person who likes Gatorade is somewhere to the left of the person who owns a Coach.\nClue 68: The person who eats blackberries is somewhere to the left of the person who owns a Tory Burch.\nClue 69: The person who likes running is somewhere to the left of the person who reads humor books.\nClue 70: The person who eats pears is the person who likes daffodils.\nClue 71: The flute player is somewhere in between the person who reads mystery books and the person who likes weight lifting in that order.\nClue 72: The person who likes base jumping is the person who reads romance books.\nClue 73: The cello player is at one of the ends.\nClue 74: The person who reads science fiction books is next to the drums player.\nClue 75: The person who likes lilies is next to the person who owns a Coach.\nClue 76: The person who eats strawberries is somewhere to the left of the person who supports the Green Bay Packers.\nClue 77: The dancer is somewhere in between the person who reads romance books and the person who reads history books in that order.\nClue 78: The dancer is immediately to the left of the person who smokes Marlboro.\nClue 79: The dancer is not the person who drives the Bajaj.\nClue 80: The person who eats pears is the person who owns a Tumi.\nClue 81: The person who reads science fiction books is the badminton player.\nClue 82: The table tennis player is somewhere in between the person who reads romance books and the person who likes owls in that order.\nClue 83: The person who likes daffodils is next to the person who eats apples.\nClue 84: The person who reads science fiction books is not the person who drives the Piaggio.\nClue 85: The person who owns a Polo Ralph Lauren is somewhere to the left of the person who drives the Kia.\nClue 86: The person who eats blackberries is the person who supports the Green Bay Packers.\nClue 87: The person who likes Jade is at one of the ends.\nClue 88: The person who likes Jade is somewhere to the left of the person who likes running.\nClue 89: The person who likes cougars is not the person who supports the Lakers.\nClue 90: The person who likes dahlias is at one of the ends.\nClue 91: The programmer is immediately to the left of the engineer.\nClue 92: The person who likes lobsters is somewhere in between the person who likes Pearls and the person who smokes Newport in that order.\nClue 93: The person who likes scuba diving is next to the violin player.\nClue 94: The person who likes Jade is next to the person who likes crocodiles.\nClue 95: The person who smokes Marlboro is the person who likes lobsters.\nClue 96: The piano player is somewhere to the left of the person who drives the Kawasaki.\nClue 97: The drums player is immediately to the left of the badminton player.\nClue 98: The person who likes noodles is not the person who drives the Bajaj.\nClue 99: The person who drives the Honda is at one of the ends.\nClue 100: The person who drives the Harley-Davidson is somewhere in between the person who smokes Winston and the person who likes sandwiches in that order.\nClue 101: The person who likes lobsters is somewhere to the left of the person who likes sandwiches.\nClue 102: The person who likes noodles is not the person who reads fantasy books.\nClue 103: The person who smokes Winston is not the person who likes weight lifting.\nClue 104: The piano player is not the person who likes Aquamarines.\nClue 105: The cricket player is immediately to the left of the person who supports the Lakers.\nClue 106: The person who likes peonies is somewhere in between the person who likes Sprite and the person who supports the Pittsburgh Steelers in that order.\nClue 107: The person who likes dinosaurs is somewhere in between the person who likes crocodiles and the squash player in that order.\nClue 108: The person who supports the Kansas City Chiefs is the person at the 3rd position.\nClue 109: The person who eats blackberries is somewhere in between the person who owns a Polo Ralph Lauren and the person who drives the Toyota in that order.\nClue 110: The person who supports the Suns is not the person who likes scuba diving.\nClue 111: The person who supports the Bucks is immediately to the left of the badminton player.\nClue 112: The person who likes crocodiles is the piano player.\nClue 113: The flute player is somewhere in between the person who supports the Lakers and the person who drives the Yamaha in that order.\nClue 114: The person who supports the Bucks is at one of the ends.\nClue 115: The person who likes 7up is at one of the ends.\nClue 116: The person who smokes Pall Mall is the person who likes crocodiles.\nClue 117: The person who likes Moonstones is not the engineer.\nClue 118: The person who likes Gatorade is immediately to the left of the person who likes Mirinda.\nClue 119: The person who drives the Harley-Davidson is not the cricket player.\nClue 120: The person who likes scuba diving is somewhere to the left of the person who likes Aquamarines.\nClue 121: The flute player is somewhere in between the person who likes curry and the cello player in that order.\nClue 122: The person who likes owls is the person who reads humor books.\nClue 123: The cricket player is somewhere in between the badminton player and the person who reads mystery books in that order.\nClue 124: The person who likes noodles is next to the person who supports the Hawks.\nClue 125: The person who reads romance books is the person who supports the Bucks.\nClue 126: The soccer player is the person who likes cougars.\nClue 127: The person who likes running is next to the person who reads mystery books.\nClue 128: The table tennis player is next to the person who likes sandwiches.\n\nQuestion: What position is the person who likes Mirinda at?",
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    "id": "bbeh:zebra_puzzles:094",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of gemstone: Obsidians, Emeralds, Sapphires, Corals, Ambers, Gypsum, Moonstones.\nEveryone drives a different car: Honda, Tesla, Kia, Hyundai, Ferrari, McLaren, Audi.\nEveryone likes a different favorite animal: sea bass, mules, buffaloes, crickets, grasshoppers, seahorses, coyotes.\nEveryone likes a different type of flower: roses, dahlias, lilies, marigolds, peonies, tulips, carnations.\nEveryone reads a different genre of books: humor, mystery, romance, short story, magical realism, fantasy, science fiction.\nEveryone owns a different handbag brand: Coach, Tumi, Dolce and Gabbana, Gucci, Balenciaga, Versace, Tory Burch.\nEveryone smokes a different cigarette: Marlboro, Davidoff, Pall Mall, Blue Master, Winston, Dunhill, Salem.\nEveryone drinks a different drink: milk, orange juice, water, hot chocolate, coffee, beer, lemonade.\nEveryone drives a different motorbike: Buell, Benelli, Yamaha, Kawasaki, Honda, Ducati, Harley-Davidson.\nEveryone likes a different food: pasta, kebabs, burgers, tacos, soups, noodles, fried rice.\nEveryone likes a different fruit: kiwis, bananas, grapes, mangoes, strawberries, blueberries, apples.\nEveryone lives in a different colored house: gold, cyan, orange, purple, black, grey, red.\nEveryone likes a different physical activity: skiing, biking, running, weight lifting, swimming, base jumping, paragliding.\nEveryone has a different favorite hobby: metal detecting, fishing, gardening, sailing, baking, stamp collecting, biking.\nEveryone supports a different NFL team: Tennessee Titans, New England Patriots, Detroit Lions, Miami Dolphins, Kansas City Chiefs, Seattle Seahawks, Arizona Cardinals.\nEveryone has a different name: Michael, Rajiv, Karan, Mandy, Ali, Rose, Siva.\nEveryone plays a different sport: ice hockey, volleyball, cricket, baseball, badminton, tennis, soccer.\nEveryone is a different nationality: Dane, Brit, Indian, Spanish, Portuguese, Chilean, American.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the New England Patriots is somewhere to the left of the Portuguese.\nClue 2: Siva is somewhere to the left of the person who supports the New England Patriots.\nClue 3: The person who lives in the grey house is immediately to the left of the person who likes swimming.\nClue 4: The tennis player is somewhere in between the person who reads magical realism books and the person who smokes Dunhill in that order.\nClue 5: The person who drives the Honda is immediately to the left of the person who lives in the gold house.\nClue 6: The person who likes baking is not the person who likes coyotes.\nClue 7: The person who likes peonies is the person who likes pasta.\nClue 8: The person who drinks milk is somewhere in between the person who smokes Winston and the person who likes fishing in that order.\nClue 9: The soccer player is somewhere to the left of the person who reads short story books.\nClue 10: The person who likes Gypsum is next to the person who likes skiing.\nClue 11: The person who drives the Buell is somewhere to the left of the person who reads short story books.\nClue 12: The person who drives the Ferrari is at one of the ends.\nClue 13: The person who likes crickets is the person who smokes Davidoff.\nClue 14: The person who likes tacos is immediately to the left of the American.\nClue 15: The ice hockey player is at one of the ends.\nClue 16: The person who drives the Ferrari is at one of the ends.\nClue 17: The person who eats mangoes is immediately to the left of the person who eats strawberries.\nClue 18: The person who drives the Honda is not the person who lives in the gold house.\nClue 19: The person who likes lilies is next to Ali.\nClue 20: The person who likes stamp collecting is somewhere to the left of the person who reads short story books.\nClue 21: The person who likes biking is the person who drinks beer.\nClue 22: The person who likes coyotes is at one of the ends.\nClue 23: The person who owns a Balenciaga is next to the person who supports the Tennessee Titans.\nClue 24: The person who reads magical realism books is not the person who likes skiing.\nClue 25: Ali is the person who likes fried rice.\nClue 26: The person who smokes Blue Master is not the person who drives the Kia.\nClue 27: Mandy is the person who likes burgers.\nClue 28: The tennis player is the person who likes baking.\nClue 29: The person who likes weight lifting is at one of the ends.\nClue 30: The person who likes dahlias is the person who supports the Kansas City Chiefs.\nClue 31: The Chilean is immediately to the left of the person who likes marigolds.\nClue 32: The Chilean is immediately to the left of the person who eats mangoes.\nClue 33: The ice hockey player is at one of the ends.\nClue 34: The person who likes coyotes is at one of the ends.\nClue 35: The person who drives the Benelli is the person who smokes Blue Master.\nClue 36: The badminton player is the person who smokes Dunhill.\nClue 37: Siva is at one of the ends.\nClue 38: The person who lives in the black house is immediately to the left of the person who lives in the grey house.\nClue 39: The person who likes roses is immediately to the left of the person who likes peonies.\nClue 40: The person who reads short story books is next to the person who reads romance books.\nClue 41: The person who likes mules is somewhere in between the person who likes Gypsum and the person who likes Sapphires in that order.\nClue 42: The person who smokes Blue Master is the person who drives the Ferrari.\nClue 43: The person who supports the New England Patriots is somewhere to the left of the person who owns a Tory Burch.\nClue 44: The person who eats apples is immediately to the left of Michael.\nClue 45: The person who likes carnations is the Brit.\nClue 46: The person who owns a Coach is the person who likes soups.\nClue 47: The person at the 3rd position is immediately to the left of the person who likes soups.\nClue 48: The tennis player is the person who reads humor books.\nClue 49: The person who reads short story books is somewhere in between the person who smokes Marlboro and the person who lives in the gold house in that order.\nClue 50: The person who supports the Kansas City Chiefs is the person at the 4th position.\nClue 51: The person who likes weight lifting is not the person who drives the Honda.\nClue 52: The person who reads romance books is the person who likes stamp collecting.\nClue 53: The person who drives the McLaren is at one of the ends.\nClue 54: The person who likes grasshoppers is at one of the ends.\nClue 55: The person who drives the Honda is immediately to the left of the person who drives the Kawasaki.\nClue 56: The person who drives the Honda is somewhere to the left of the person who likes weight lifting.\nClue 57: The person who drives the Honda is the person who reads short story books.\nClue 58: The tennis player is the person who likes baking.\nClue 59: The person who drives the Hyundai is not the person who likes gardening.\nClue 60: The person who smokes Dunhill is not the person who likes fishing.\nClue 61: The ice hockey player is at one of the ends.\nClue 62: The person who likes paragliding is immediately to the left of the person who likes coyotes.\nClue 63: The person who drives the Ducati is next to the person who drinks beer.\nClue 64: The person who eats kiwis is at one of the ends.\nClue 65: The person who smokes Dunhill is somewhere in between the person who drives the Tesla and the person who likes fishing in that order.\nClue 66: The person who reads short story books is immediately to the left of the person who reads fantasy books.\nClue 67: The person who likes stamp collecting is the person who likes biking.\nClue 68: The person at the 5th position is immediately to the left of Rose.\nClue 69: The person who likes mules is somewhere in between the person who smokes Davidoff and the person who drives the Kawasaki in that order.\nClue 70: The ice hockey player is at one of the ends.\nClue 71: The person who likes sailing is not the person who drives the Honda.\nClue 72: The person who drinks lemonade is not the person who likes Ambers.\nClue 73: The person who likes Sapphires is not the person who reads humor books.\nClue 74: Mandy is the person who supports the Arizona Cardinals.\nClue 75: The person who drives the Tesla is immediately to the left of the tennis player.\nClue 76: The person who likes mules is somewhere in between the person who reads romance books and the person who drives the Kawasaki in that order.\nClue 77: The Dane is somewhere in between the person who likes soups and the person who owns a Balenciaga in that order.\nClue 78: The person who likes mules is somewhere in between the person who lives in the purple house and the person who likes gardening in that order.\nClue 79: The person who smokes Pall Mall is not the person who drives the Kawasaki.\nClue 80: The person who likes Moonstones is somewhere to the left of the person who drinks lemonade.\nClue 81: The person who likes grasshoppers is the person who likes metal detecting.\nClue 82: The person who owns a Gucci is immediately to the left of the American.\nClue 83: The person who lives in the cyan house is immediately to the left of the person who reads romance books.\nClue 84: The soccer player is the person who smokes Davidoff.\nClue 85: The person who reads fantasy books is not the person who likes seahorses.\nClue 86: The Brit is the person who supports the Detroit Lions.\nClue 87: The person who supports the Kansas City Chiefs is next to the person who supports the Miami Dolphins.\nClue 88: The person who eats bananas is immediately to the left of Karan.\nClue 89: The person who drinks orange juice is next to the person who likes baking.\nClue 90: The person who drives the Ducati is the person who smokes Marlboro.\nClue 91: The person who drives the Kawasaki is next to the person who reads short story books.\nClue 92: The person who reads magical realism books is at one of the ends.\nClue 93: The person who likes Corals is somewhere in between the soccer player and the person who likes coyotes in that order.\nClue 94: The person who likes sailing is not the person who drinks coffee.\nClue 95: The person who owns a Tory Burch is at one of the ends.\nClue 96: The person who lives in the gold house is the person who drives the Kawasaki.\nClue 97: The person who likes buffaloes is somewhere in between the person who likes Moonstones and the tennis player in that order.\nClue 98: The person who reads magical realism books is the baseball player.\nClue 99: The person who drinks beer is somewhere in between the baseball player and the person who likes sailing in that order.\nClue 100: The Dane is the person who likes tacos.\nClue 101: The person who likes grasshoppers is at one of the ends.\nClue 102: The person who likes coyotes is the person who likes Sapphires.\nClue 103: The person who smokes Salem is at one of the ends.\nClue 104: Mandy is the person who owns a Tumi.\nClue 105: The cricket player is somewhere to the left of the person who smokes Marlboro.\nClue 106: The person who drinks orange juice is not the person who drives the Hyundai.\nClue 107: The person who likes mules is the person who likes paragliding.\nClue 108: The person who likes Corals is somewhere in between the person who lives in the purple house and the person who likes weight lifting in that order.\nClue 109: The person who supports the Tennessee Titans is the person who likes pasta.\nClue 110: The person who drinks hot chocolate is somewhere in between the person who likes sea bass and the person who drives the Kawasaki in that order.\nClue 111: The person who likes burgers is next to the person who likes dahlias.\nClue 112: The person who drives the Hyundai is somewhere in between the person who smokes Winston and the person who likes Obsidians in that order.\nClue 113: The person who likes Emeralds is immediately to the left of the person who drives the Honda.\nClue 114: The cricket player is the person who likes buffaloes.\nClue 115: The person who owns a Tory Burch is next to the person who eats strawberries.\nClue 116: The person who lives in the black house is next to the person who likes biking.\nClue 117: The person who smokes Blue Master is not the person who reads humor books.\nClue 118: The person who lives in the orange house is somewhere to the left of the person who likes crickets.\nClue 119: The person who drives the Honda is somewhere in between the person who drives the Buell and the person who likes coyotes in that order.\nClue 120: The person who reads science fiction books is somewhere in between the person who drives the Ducati and the person who likes stamp collecting in that order.\nClue 121: The person who reads magical realism books is somewhere to the left of the person who smokes Salem.\nClue 122: The person who likes noodles is at one of the ends.\nClue 123: The baseball player is immediately to the left of the person who drives the Yamaha.\nClue 124: The Portuguese is the person who eats grapes.\nClue 125: The person who likes dahlias is next to Karan.\nClue 126: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 127: The person who likes dahlias is somewhere to the left of the person who supports the New England Patriots.\nClue 128: The person who reads mystery books is the person who drives the Yamaha.\nClue 129: The person who drives the Ducati is not the person who smokes Winston.\nClue 130: The Spanish is the person who supports the Arizona Cardinals.\nClue 131: The person who lives in the grey house is immediately to the left of the person who likes Gypsum.\nClue 132: The person who drives the Ferrari is the person who drinks coffee.\nClue 133: The person who drives the Kawasaki is not the person who lives in the black house.\nClue 134: The person who likes biking is not the person who likes Ambers.\nClue 135: The person who reads fantasy books is at one of the ends.\nClue 136: The person who drives the Kawasaki is not the person who drinks coffee.\nClue 137: The person who likes tulips is the person who likes burgers.\nClue 138: The person who likes coyotes is not the person who likes sailing.\nClue 139: The person who likes Ambers is immediately to the left of the person who likes swimming.\nClue 140: The person who reads humor books is the person who drives the Hyundai.\nClue 141: The person who smokes Marlboro is the person who likes seahorses.\n\nQuestion: What position is Mandy at?",
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    "id": "bbeh:zebra_puzzles:098",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drinks a different drink: iced coffee, tea, hot chocolate, lemonade, coffee, iced tea, orange juice.\nEveryone likes a different physical activity: biking, skiing, running, snorkeling, swimming, weight lifting, hiking.\nEveryone likes a different type of gemstone: Ambers, Opals, Gypsum, Corals, Sapphires, Dolomites, Emeralds.\nEveryone likes a different food: fried rice, burgers, kebabs, tacos, curry, soups, pizza.\nEveryone drives a different car: Ferrari, BMW, Kia, Ford, McLaren, Honda, Lexus.\nEveryone supports a different NFL team: Baltimore Ravens, Dallas Cowboys, Buffalo Bills, Arizona Cardinals, Tennessee Titans, Cincinnati Bengals, Carolina Panthers.\nEveryone likes a different favorite animal: grizzly bears, cockroaches, swans, mannikins, aardvarks, ligers, blobfish.\nEveryone has a different profession: architect, singer, teacher, chef, athlete, artist, designer.\nEveryone has a different favorite soft drink: Gatorade, Pepsi, Canada Dry, Dr Pepper, Mountain Dew, Limca, Mirinda.\nEveryone likes a different fruit: apples, strawberries, grapes, bananas, pears, oranges, raspberries.\nEveryone lives in a different colored house: cyan, black, green, yellow, gold, white, turquoise.\nEveryone has a different name: Yair, Drew, Alex, Ali, Trinity, Jackson, Rose.\nEveryone supports a different NBA team: Hawks, Celtics, Cavaliers, Warriors, Suns, Knicks, Lakers.\nEveryone owns a different handbag brand: Dolce and Gabbana, Coach, Balenciaga, Tumi, Kate Spade, Michael Kors, Polo Ralph Lauren.\nEveryone likes a different type of flower: peonies, daffodils, roses, tulips, orchids, marigolds, dahlias.\nEveryone is a different nationality: Australian, Italian, Bulgarian, Swiss, Dane, Mexican, Spanish.\nEveryone has a different favorite hobby: kite flying, wine making, skiing, astronomy, painting, cheese making, origami.\nEveryone smokes a different cigarette: Blue Master, Camel, Dunhill, Salem, Blends, Marlboro, Winston.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The teacher is next to the person who likes Dr Pepper.\nClue 2: The person who drinks iced coffee is somewhere in between the Dane and the person who supports the Suns in that order.\nClue 3: The person who eats oranges is the person who likes kite flying.\nClue 4: The person who supports the Celtics is not the person who likes Gatorade.\nClue 5: The person who supports the Baltimore Ravens is the person who likes Gypsum.\nClue 6: The person who likes Sapphires is somewhere to the left of the person who supports the Warriors.\nClue 7: The person who lives in the yellow house is the person who likes biking.\nClue 8: The person who eats apples is the singer.\nClue 9: The athlete is somewhere in between the person who likes cheese making and the person who likes painting in that order.\nClue 10: The person who likes roses is next to the person who likes weight lifting.\nClue 11: The person who likes cheese making is at one of the ends.\nClue 12: The person who lives in the cyan house is somewhere to the left of the person who likes running.\nClue 13: The person who drinks iced tea is at one of the ends.\nClue 14: The person who likes aardvarks is somewhere to the left of the person who likes swans.\nClue 15: The person who likes grizzly bears is next to the person who likes mannikins.\nClue 16: The person who likes Corals is somewhere to the left of the person who drinks lemonade.\nClue 17: The person who supports the Arizona Cardinals is immediately to the left of the person who likes Opals.\nClue 18: The person who smokes Blue Master is at one of the ends.\nClue 19: The person who smokes Camel is immediately to the left of the person who drives the Ford.\nClue 20: The person who likes burgers is the person who likes Mirinda.\nClue 21: The person who supports the Hawks is the person who eats pears.\nClue 22: The Bulgarian is somewhere in between the person who likes Mirinda and the person who likes Canada Dry in that order.\nClue 23: The person who drives the McLaren is somewhere in between Rose and the person who drives the Ferrari in that order.\nClue 24: Trinity is the person who drives the Lexus.\nClue 25: The person who likes cheese making is at one of the ends.\nClue 26: The person who eats bananas is somewhere in between the person who drinks hot chocolate and the person who eats apples in that order.\nClue 27: The person who likes Ambers is immediately to the left of the person who likes Opals.\nClue 28: The person who owns a Kate Spade is the person who supports the Carolina Panthers.\nClue 29: The person who likes Gypsum is somewhere in between the person who likes wine making and the person who supports the Suns in that order.\nClue 30: The person who likes kite flying is somewhere in between the person who supports the Warriors and the Mexican in that order.\nClue 31: The Australian is next to the person who eats apples.\nClue 32: The person who likes origami is the person who likes Canada Dry.\nClue 33: The person who likes pizza is somewhere in between the person who eats raspberries and the person who likes origami in that order.\nClue 34: The person who likes grizzly bears is next to the person who lives in the yellow house.\nClue 35: The person who likes Canada Dry is the person who supports the Cincinnati Bengals.\nClue 36: The person who owns a Balenciaga is the person who likes Sapphires.\nClue 37: The person who drives the Honda is somewhere in between the person who likes weight lifting and the person who likes grizzly bears in that order.\nClue 38: The person who lives in the black house is the person who likes orchids.\nClue 39: The person who supports the Cavaliers is somewhere in between the person who likes Ambers and the person who supports the Cincinnati Bengals in that order.\nClue 40: The person who smokes Dunhill is next to the person who smokes Marlboro.\nClue 41: The person who likes tulips is somewhere in between the person who lives in the gold house and the person who likes weight lifting in that order.\nClue 42: The Spanish is not the person who likes Opals.\nClue 43: The person who likes Opals is the person who likes tacos.\nClue 44: The person who drinks iced coffee is next to the person who likes Canada Dry.\nClue 45: The architect is somewhere in between the person who supports the Knicks and the person who supports the Baltimore Ravens in that order.\nClue 46: The person who supports the Hawks is the person who likes soups.\nClue 47: The person who likes pizza is somewhere to the left of the person who likes Canada Dry.\nClue 48: Rose is next to the person who likes orchids.\nClue 49: The person who likes Limca is at one of the ends.\nClue 50: The artist is the person who supports the Tennessee Titans.\nClue 51: The person who eats bananas is not the person who owns a Dolce and Gabbana.\nClue 52: The Australian is somewhere in between the person who likes Ambers and the person who supports the Warriors in that order.\nClue 53: The person who lives in the green house is the person who smokes Dunhill.\nClue 54: The person who likes roses is the person who lives in the yellow house.\nClue 55: The person who likes painting is the person who owns a Kate Spade.\nClue 56: The person who likes fried rice is the person who likes skiing.\nClue 57: The person who likes daffodils is the person who likes snorkeling.\nClue 58: The person who likes Gypsum is not the person who eats grapes.\nClue 59: The person who drinks iced tea is next to the person who likes Pepsi.\nClue 60: Ali is next to the person who lives in the white house.\nClue 61: The person who likes origami is the person who supports the Cincinnati Bengals.\nClue 62: The person who likes snorkeling is at one of the ends.\nClue 63: The Australian is somewhere in between the person who owns a Balenciaga and the person who likes kebabs in that order.\nClue 64: The person who drives the Lexus is the person who likes grizzly bears.\nClue 65: Yair is immediately to the left of the person who drives the Honda.\nClue 66: The person who likes burgers is somewhere to the left of the person who drinks iced coffee.\nClue 67: The designer is next to the person who supports the Arizona Cardinals.\nClue 68: The person who likes Opals is somewhere to the left of the person who supports the Baltimore Ravens.\nClue 69: The Italian is at one of the ends.\nClue 70: The person who supports the Suns is at one of the ends.\nClue 71: The person who drives the Lexus is at one of the ends.\nClue 72: The designer is the person who eats raspberries.\nClue 73: The person who drives the BMW is at one of the ends.\nClue 74: The person who likes Mirinda is immediately to the left of the person who eats oranges.\nClue 75: The person who supports the Arizona Cardinals is not the person who likes Opals.\nClue 76: The Spanish is next to the person who eats pears.\nClue 77: The person who likes Ambers is somewhere in between the person who eats pears and the person who eats raspberries in that order.\nClue 78: The person who likes Pepsi is the person who drinks hot chocolate.\nClue 79: The person who likes Pepsi is not the person who likes skiing.\nClue 80: The person who likes swans is the person who lives in the gold house.\nClue 81: The chef is somewhere to the left of the Mexican.\nClue 82: The person who likes ligers is next to the person who likes orchids.\nClue 83: The person who smokes Blue Master is immediately to the left of the person who smokes Camel.\nClue 84: The person who lives in the green house is next to the person who lives in the gold house.\nClue 85: The person who likes fried rice is somewhere to the left of the teacher.\nClue 86: The person who likes skiing is somewhere in between the Italian and the person who likes Gypsum in that order.\nClue 87: The person who lives in the black house is immediately to the left of the person who likes swans.\nClue 88: The person who owns a Coach is the singer.\nClue 89: The person who likes Gatorade is the person who drinks orange juice.\nClue 90: The person who likes Corals is immediately to the left of the chef.\nClue 91: The person who drives the Lexus is next to Jackson.\nClue 92: The person who supports the Baltimore Ravens is somewhere in between the person who drinks coffee and the person who drinks lemonade in that order.\nClue 93: The person who lives in the green house is the person who likes blobfish.\nClue 94: The person who likes Opals is the person who likes painting.\nClue 95: The Bulgarian is somewhere to the left of the person who likes origami.\nClue 96: The person who smokes Dunhill is somewhere to the left of the person who likes dahlias.\nClue 97: The person who owns a Balenciaga is at one of the ends.\nClue 98: The person who likes Mountain Dew is the person who owns a Kate Spade.\nClue 99: The person who likes burgers is not the person who likes origami.\nClue 100: The person who drinks tea is not the Dane.\nClue 101: The person who likes astronomy is next to the person who likes soups.\nClue 102: The person who likes wine making is the person who supports the Warriors.\nClue 103: The person who owns a Coach is somewhere in between the Australian and the person who likes Dolomites in that order.\nClue 104: Trinity is the person who smokes Winston.\nClue 105: The person who likes painting is somewhere to the left of the Bulgarian.\nClue 106: The person who eats apples is somewhere in between the Australian and the person who supports the Baltimore Ravens in that order.\nClue 107: The person who owns a Balenciaga is at one of the ends.\nClue 108: The person who likes curry is somewhere to the left of the person who eats raspberries.\nClue 109: The person who likes Dr Pepper is somewhere in between the artist and the person who supports the Cincinnati Bengals in that order.\nClue 110: The person who supports the Knicks is the person who likes Pepsi.\nClue 111: The Italian is somewhere to the left of the person who likes Dr Pepper.\nClue 112: The person who likes peonies is at one of the ends.\nClue 113: The person who likes astronomy is somewhere in between the person who drinks iced tea and the person who owns a Polo Ralph Lauren in that order.\nClue 114: The Australian is somewhere to the left of the person who supports the Baltimore Ravens.\nClue 115: The person who owns a Tumi is not the athlete.\nClue 116: Rose is at one of the ends.\nClue 117: The person who likes Opals is somewhere to the left of the person who supports the Celtics.\nClue 118: The person who likes Sapphires is at one of the ends.\nClue 119: The person who supports the Baltimore Ravens is somewhere to the left of the person who likes kebabs.\nClue 120: The person who likes Sapphires is at one of the ends.\nClue 121: The person who likes Canada Dry is at one of the ends.\nClue 122: The person who likes Pepsi is next to the person who likes soups.\nClue 123: The person who supports the Warriors is the person who likes burgers.\nClue 124: The person who owns a Coach is next to the person who owns a Kate Spade.\nClue 125: The person who drives the BMW is immediately to the left of the person who drives the Kia.\nClue 126: The person who lives in the green house is Drew.\nClue 127: The person who likes hiking is the person who smokes Dunhill.\nClue 128: The person who likes Dr Pepper is the Bulgarian.\nClue 129: The person who supports the Buffalo Bills is immediately to the left of the person who likes Dr Pepper.\nClue 130: The person who supports the Cavaliers is next to the person who likes fried rice.\nClue 131: The person who likes burgers is somewhere in between the person who owns a Dolce and Gabbana and the person who eats grapes in that order.\nClue 132: The person who eats apples is somewhere to the left of the person who eats oranges.\nClue 133: The person who supports the Baltimore Ravens is somewhere in between the person who owns a Coach and the Mexican in that order.\nClue 134: The person who owns a Coach is the person who eats apples.\nClue 135: The person at the 5th position is the person who smokes Salem.\nClue 136: The person who lives in the black house is Ali.\nClue 137: The Italian is the artist.\nClue 138: The person who likes aardvarks is not the person who likes skiing.\nClue 139: The person who likes skiing is not the person who drinks iced coffee.\nClue 140: The designer is next to the person who drinks orange juice.\nClue 141: The person who lives in the turquoise house is at one of the ends.\nClue 142: The person who supports the Warriors is immediately to the left of the person who likes Dr Pepper.\n\nQuestion: What position is the person who likes running at?",
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    "id": "bbeh:zebra_puzzles:102",
    "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone smokes a different cigarette: Marlboro, Blue Master, Davidoff, Dunhill, Pall Mall, Blends.\nEveryone likes a different type of flower: marigolds, dahlias, roses, daffodils, daisies, peonies.\nEveryone has a different profession: architect, artist, athlete, chef, teacher, singer.\nEveryone is a different nationality: Israeli, Serbian, Dane, Croatian, Russian, Korean.\nEveryone likes a different fruit: apples, strawberries, blackberries, grapes, bananas, mangoes.\nEveryone plays a different musical instrument: piano, harp, flute, oboe, harmonica, guitar.\nEveryone likes a different type of gemstone: Dolomites, Sapphires, Obsidians, Opals, Aquamarines, Pearls.\nEveryone has a different favorite hobby: dancing, welding, wine making, wood carving, sailing, kite flying.\nEveryone has a different name: Rafael, Alex, Mohan, Noah, Ahmed, Michael.\nEveryone has a different favorite soft drink: Powerade, Fanta, 7up, Gatorade, Limca, Coke.\nEveryone supports a different NFL team: Carolina Panthers, Green Bay Packers, New England Patriots, Dallas Cowboys, Seattle Seahawks, Arizona Cardinals.\nEveryone owns a different handbag brand: Kate Spade, Polo Ralph Lauren, Michael Kors, Versace, Gucci, Coach.\nEveryone plays a different sport: ice hockey, cricket, volleyball, basketball, tennis, soccer.\nEveryone drinks a different drink: iced tea, hot chocolate, lemonade, orange juice, iced coffee, coffee.\nEveryone likes a different favorite animal: snails, hares, swans, goldfish, flamingoes, moose.\nEveryone supports a different NBA team: Celtics, Cavaliers, Knicks, Lakers, Bulls, Warriors.\nEveryone lives in a different colored house: red, gold, grey, purple, white, magenta.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes goldfish is immediately to the left of the cricket player.\nClue 2: The person who likes snails is next to the guitar player.\nClue 3: The Croatian is somewhere in between the person who smokes Dunhill and the person who supports the New England Patriots in that order.\nClue 4: Noah is not the person who likes sailing.\nClue 5: Rafael is somewhere to the left of the person who smokes Marlboro.\nClue 6: The person who drinks coffee is the person who supports the New England Patriots.\nClue 7: The Croatian is somewhere to the left of the person who supports the New England Patriots.\nClue 8: The person who lives in the magenta house is next to the person who smokes Pall Mall.\nClue 9: The person who likes Fanta is immediately to the left of the person who likes 7up.\nClue 10: The person who likes roses is not the guitar player.\nClue 11: The person who likes Pearls is not the person who lives in the gold house.\nClue 12: The person who likes sailing is not the person who owns a Coach.\nClue 13: The person who likes Gatorade is somewhere in between the person who smokes Dunhill and the person who likes welding in that order.\nClue 14: The person who likes welding is the Serbian.\nClue 15: The person who owns a Polo Ralph Lauren is not the person who likes Powerade.\nClue 16: The cricket player is next to the volleyball player.\nClue 17: The person who drinks hot chocolate is somewhere in between the Korean and the person who eats strawberries in that order.\nClue 18: Mohan is at one of the ends.\nClue 19: The person who drinks iced tea is somewhere in between the person who likes welding and the person who owns a Kate Spade in that order.\nClue 20: The person who likes Limca is the person who supports the Carolina Panthers.\nClue 21: The person who likes Opals is not Noah.\nClue 22: The athlete is immediately to the left of the piano player.\nClue 23: Mohan is at one of the ends.\nClue 24: The person who owns a Kate Spade is not the person who likes Aquamarines.\nClue 25: The person who smokes Blue Master is the person who owns a Gucci.\nClue 26: The person who likes roses is next to the architect.\nClue 27: The person who likes sailing is the person who eats grapes.\nClue 28: Alex is next to the person who smokes Marlboro.\nClue 29: The person who supports the Knicks is at one of the ends.\nClue 30: The person who likes welding is immediately to the left of the person who lives in the red house.\nClue 31: Ahmed is next to the Croatian.\nClue 32: The person who likes Fanta is the Russian.\nClue 33: The person who lives in the white house is at one of the ends.\nClue 34: The person who drinks coffee is not the person who likes dancing.\nClue 35: The person who lives in the gold house is immediately to the left of the person who lives in the purple house.\nClue 36: Alex is somewhere in between the person who eats mangoes and the Dane in that order.\nClue 37: The person who eats strawberries is the person who likes Fanta.\nClue 38: The person who drinks iced tea is not the person who supports the Seattle Seahawks.\nClue 39: The person who likes wine making is somewhere to the left of the person who lives in the grey house.\nClue 40: The person who eats mangoes is immediately to the left of the person who supports the Dallas Cowboys.\nClue 41: The artist is next to the person who likes marigolds.\nClue 42: The person who likes swans is the person at the 3rd position.\nClue 43: The person who smokes Dunhill is at one of the ends.\nClue 44: The chef is the person who supports the Bulls.\nClue 45: The person who smokes Dunhill is the person who lives in the gold house.\nClue 46: The person who likes wood carving is at one of the ends.\nClue 47: The person who drinks hot chocolate is immediately to the left of the person who lives in the magenta house.\nClue 48: The person who lives in the white house is not the person who likes dancing.\nClue 49: The person who likes Pearls is not the person who eats apples.\nClue 50: The person who smokes Blends is somewhere to the left of the person who smokes Blue Master.\nClue 51: The Israeli is somewhere in between the person who likes 7up and the person who likes Pearls in that order.\nClue 52: The person who likes Aquamarines is at one of the ends.\nClue 53: Michael is next to the person who likes Fanta.\nClue 54: The flute player is immediately to the left of the person who supports the Bulls.\nClue 55: The person who likes Limca is immediately to the left of the person who lives in the purple house.\nClue 56: The person who likes Dolomites is the person who smokes Blends.\nClue 57: The architect is somewhere in between the person who likes swans and the person who supports the Lakers in that order.\nClue 58: The artist is somewhere to the left of the singer.\nClue 59: The person who likes kite flying is next to the person who supports the Carolina Panthers.\nClue 60: The person who likes daisies is the artist.\nClue 61: The athlete is the oboe player.\nClue 62: Ahmed is at one of the ends.\nClue 63: The person who drinks hot chocolate is next to the person who owns a Polo Ralph Lauren.\nClue 64: Alex is not the person who drinks lemonade.\nClue 65: The person who likes Limca is the person who lives in the gold house.\nClue 66: The person who likes dancing is at one of the ends.\nClue 67: The person who supports the New England Patriots is somewhere in between the person who likes kite flying and the person who likes Obsidians in that order.\nClue 68: Alex is the person who lives in the red house.\nClue 69: The person who supports the Cavaliers is somewhere in between the person who likes goldfish and the person who likes peonies in that order.\nClue 70: The person who drinks lemonade is at one of the ends.\nClue 71: The person who owns a Michael Kors is somewhere to the left of the person who smokes Blends.\nClue 72: The person who likes wood carving is the person who drinks lemonade.\nClue 73: The Croatian is immediately to the left of the person who likes wine making.\nClue 74: The person who supports the Bulls is somewhere to the left of the soccer player.\nClue 75: The person who lives in the red house is somewhere in between the person who likes Obsidians and the person who owns a Kate Spade in that order.\nClue 76: The Israeli is the person who supports the Dallas Cowboys.\nClue 77: The person who lives in the red house is somewhere in between the person who drinks orange juice and the person who eats blackberries in that order.\nClue 78: The person who smokes Blue Master is the person who owns a Gucci.\nClue 79: The person who likes daisies is immediately to the left of the teacher.\nClue 80: The person who lives in the red house is somewhere to the left of Mohan.\nClue 81: The person who likes Aquamarines is the person who likes dancing.\nClue 82: The person who eats mangoes is somewhere in between the person who likes wine making and the person who eats grapes in that order.\nClue 83: The cricket player is next to the person who supports the Cavaliers.\nClue 84: The person who smokes Blends is the person who owns a Polo Ralph Lauren.\nClue 85: The person who eats mangoes is somewhere to the left of the person who supports the Green Bay Packers.\nClue 86: The person who lives in the gold house is at one of the ends.\nClue 87: The person who smokes Dunhill is at one of the ends.\nClue 88: The person who lives in the grey house is somewhere in between the person who lives in the magenta house and the person who likes Sapphires in that order.\nClue 89: The person who supports the Cavaliers is somewhere to the left of the harmonica player.\nClue 90: The person who likes wood carving is at one of the ends.\nClue 91: The person who supports the New England Patriots is immediately to the left of the person who supports the Arizona Cardinals.\nClue 92: The person who owns a Michael Kors is immediately to the left of the person who likes Opals.\nClue 93: The tennis player is immediately to the left of the person at the 2nd position.\nClue 94: The person who owns a Versace is somewhere to the left of the person who supports the Dallas Cowboys.\nClue 95: The person who smokes Pall Mall is next to the person who drinks iced coffee.\nClue 96: The person who lives in the gold house is next to the person who lives in the purple house.\nClue 97: The person who likes welding is not the person who likes Sapphires.\nClue 98: The tennis player is next to the person who likes goldfish.\nClue 99: The athlete is somewhere to the left of the chef.\nClue 100: The person who owns a Michael Kors is immediately to the left of the Croatian.\nClue 101: The person who likes moose is somewhere in between the person who likes roses and the person who likes hares in that order.\nClue 102: The person who smokes Blue Master is immediately to the left of the person who likes Pearls.\nClue 103: The person who likes Gatorade is immediately to the left of the person who smokes Blends.\nClue 104: Noah is immediately to the left of the person who likes Obsidians.\nClue 105: Michael is not the person who owns a Michael Kors.\nClue 106: The person who eats grapes is somewhere in between the person who lives in the grey house and the person who likes Pearls in that order.\nClue 107: Alex is somewhere in between the person who supports the New England Patriots and the person who eats blackberries in that order.\nClue 108: The person who likes wine making is the person who likes Dolomites.\nClue 109: The person who supports the Green Bay Packers is next to the person who smokes Blue Master.\nClue 110: The person who likes wine making is not the person who smokes Pall Mall.\nClue 111: The tennis player is immediately to the left of the artist.\nClue 112: The person who likes Fanta is somewhere in between the Croatian and Alex in that order.\nClue 113: The person who smokes Pall Mall is the person who likes kite flying.\nClue 114: The person who drinks coffee is not the person who smokes Davidoff.\nClue 115: The person who supports the Arizona Cardinals is not the person who eats bananas.\nClue 116: Noah is somewhere in between the person who eats bananas and Alex in that order.\nClue 117: The Korean is not the person who drinks hot chocolate.\nClue 118: The person who likes Fanta is immediately to the left of the Serbian.\nClue 119: The person who likes Aquamarines is immediately to the left of the Croatian.\nClue 120: The person who likes 7up is immediately to the left of the person who likes Powerade.\nClue 121: The person who likes sailing is next to the person who eats mangoes.\nClue 122: The person who likes moose is somewhere in between the volleyball player and the person who likes daffodils in that order.\nClue 123: The person who drinks hot chocolate is immediately to the left of the person who likes Fanta.\nClue 124: The person who owns a Kate Spade is at one of the ends.\nClue 125: The person who lives in the purple house is somewhere in between the person who owns a Michael Kors and the person who likes welding in that order.\nClue 126: The flute player is somewhere in between the ice hockey player and the person who likes moose in that order.\nClue 127: The person who eats strawberries is the person who likes Dolomites.\nClue 128: The person who likes roses is the teacher.\nClue 129: The person who supports the Celtics is the piano player.\n\nQuestion: What position is the tennis player at?",
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    "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone has a different favorite hobby: horse riding, pottery, biking, metal detecting, quilting, skiing.\nEveryone supports a different NBA team: Lakers, Bucks, Celtics, Suns, Hawks, Warriors.\nEveryone drives a different motorbike: Piaggio, Yamaha, Suzuki, Ducati, Harley-Davidson, Benelli.\nEveryone has a different name: Mandy, Nour, Alex, Ahmed, Jones, Barbara.\nEveryone likes a different physical activity: scuba diving, base jumping, swimming, biking, skiing, weight lifting.\nEveryone likes a different favorite animal: seahorses, dugongs, lions, swallows, squids, buffaloes.\nEveryone reads a different genre of books: romance, science fiction, mystery, humor, magical realism, short story.\nEveryone is a different nationality: Chilean, German, Italian, Canadian, Spanish, Mexican.\nEveryone likes a different type of flower: roses, dahlias, tulips, daisies, lilies, daffodils.\nEveryone lives in a different colored house: red, blue, orange, beige, purple, yellow.\nEveryone owns a different handbag brand: Polo Ralph Lauren, Tumi, Coach, Kate Spade, Tory Burch, Versace.\nEveryone smokes a different cigarette: Camel, Salem, Pall Mall, Marlboro, Newport, Blends.\nEveryone plays a different musical instrument: harmonica, harp, guitar, drums, cello, piano.\nEveryone has a different favorite soft drink: Powerade, Fanta, Mountain Dew, Coke, Pepsi, Sprite.\nEveryone likes a different fruit: bananas, grapes, mangoes, oranges, pears, apples.\nEveryone likes a different type of gemstone: Diamonds, Sapphires, Corals, Dolomites, Emeralds, Topaz.\nEveryone drinks a different drink: water, orange juice, hot chocolate, coffee, milk, beer.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Harley-Davidson is the person who eats mangoes.\nClue 2: The Chilean is next to the person who likes Topaz.\nClue 3: The Italian is not the person who drinks milk.\nClue 4: The person who drives the Ducati is the person who smokes Pall Mall.\nClue 5: The harp player is next to the person who drinks beer.\nClue 6: The person who smokes Camel is the person who likes Sapphires.\nClue 7: The person who smokes Pall Mall is next to the harmonica player.\nClue 8: The person who supports the Hawks is Nour.\nClue 9: The piano player is not Ahmed.\nClue 10: The person who eats pears is somewhere in between the person who eats mangoes and the person who smokes Blends in that order.\nClue 11: The Mexican is Jones.\nClue 12: The person who likes Dolomites is the person who drives the Benelli.\nClue 13: The person who eats apples is at one of the ends.\nClue 14: The person who eats pears is not the person who smokes Camel.\nClue 15: The person who supports the Celtics is the person who drives the Piaggio.\nClue 16: The guitar player is at one of the ends.\nClue 17: The person who likes dahlias is somewhere in between the person who likes daffodils and the person who lives in the beige house in that order.\nClue 18: The Spanish is somewhere in between the person who owns a Versace and the person who likes Sapphires in that order.\nClue 19: The person who likes Dolomites is immediately to the left of Ahmed.\nClue 20: The person who smokes Marlboro is somewhere in between Alex and Nour in that order.\nClue 21: The person who eats grapes is not the person who likes Sapphires.\nClue 22: The person who lives in the purple house is somewhere in between the person who likes pottery and the person who reads short story books in that order.\nClue 23: The person who smokes Pall Mall is immediately to the left of the Spanish.\nClue 24: The Mexican is immediately to the left of the person who likes Emeralds.\nClue 25: The person who owns a Coach is the person who supports the Bucks.\nClue 26: The person who lives in the yellow house is immediately to the left of the person who likes Coke.\nClue 27: The person who likes dahlias is somewhere to the left of the person at the 5th position.\nClue 28: The person who drives the Suzuki is somewhere in between the person who smokes Pall Mall and the cello player in that order.\nClue 29: The Italian is somewhere to the left of the person who smokes Blends.\nClue 30: The person who likes Sprite is the person who likes daisies.\nClue 31: The person who supports the Celtics is not the person who drives the Suzuki.\nClue 32: The person who supports the Celtics is somewhere in between the person who smokes Camel and the person who owns a Polo Ralph Lauren in that order.\nClue 33: The person who owns a Versace is the person who supports the Lakers.\nClue 34: The harp player is somewhere to the left of the cello player.\nClue 35: The Spanish is the person who smokes Salem.\nClue 36: The person who likes quilting is the person who likes buffaloes.\nClue 37: The guitar player is next to the person who smokes Marlboro.\nClue 38: The person who smokes Pall Mall is the person who eats grapes.\nClue 39: The person at the 6th position is the person who likes quilting.\nClue 40: The person who likes base jumping is somewhere in between the person who owns a Kate Spade and the person who eats mangoes in that order.\nClue 41: The person who likes biking is the person who eats pears.\nClue 42: The person who likes roses is the person who reads romance books.\nClue 43: The person who eats apples is at one of the ends.\nClue 44: The German is the person who likes Sapphires.\nClue 45: The person who likes skiing is the person who likes lilies.\nClue 46: The person who smokes Camel is not the person who likes Emeralds.\nClue 47: The person who likes Corals is somewhere in between the person who smokes Newport and the person who owns a Coach in that order.\nClue 48: The person who drinks milk is not the person who smokes Pall Mall.\nClue 49: The Mexican is not the guitar player.\nClue 50: The Chilean is somewhere in between the person who likes Dolomites and the person who eats mangoes in that order.\nClue 51: The person who eats bananas is not the person who supports the Hawks.\nClue 52: The person who drinks coffee is not the Mexican.\nClue 53: The drums player is somewhere to the left of the person who supports the Celtics.\nClue 54: The person who eats mangoes is somewhere in between the person who drinks orange juice and the person who smokes Marlboro in that order.\nClue 55: The person who likes seahorses is the person who likes Sprite.\nClue 56: The person who smokes Marlboro is next to the person who owns a Polo Ralph Lauren.\nClue 57: The person who drinks milk is not Nour.\nClue 58: The Mexican is somewhere to the left of the person who drinks coffee.\nClue 59: The person who drives the Harley-Davidson is Alex.\nClue 60: The person who likes Diamonds is somewhere to the left of the person who likes Emeralds.\nClue 61: The person who likes skiing is the guitar player.\nClue 62: The person who eats mangoes is somewhere to the left of the person who smokes Blends.\nClue 63: The person who eats mangoes is not Mandy.\nClue 64: The person who likes skiing is the person who smokes Blends.\nClue 65: The person who likes Pepsi is the person who reads humor books.\nClue 66: The person who drinks water is the person who smokes Pall Mall.\nClue 67: The person who smokes Newport is not the person who eats pears.\nClue 68: Alex is immediately to the left of the person who likes biking.\nClue 69: The person who smokes Camel is not the person who likes Emeralds.\nClue 70: The person who eats apples is not the person who drinks beer.\nClue 71: The person who likes biking is somewhere in between the person who likes weight lifting and the person who likes Emeralds in that order.\nClue 72: The person who likes scuba diving is next to the person who drinks water.\nClue 73: The person who likes skiing is not Alex.\nClue 74: The person who likes Diamonds is the person who owns a Tumi.\nClue 75: The person who likes biking is next to the person who likes seahorses.\nClue 76: The person who likes Powerade is next to the person who likes Pepsi.\nClue 77: The person who likes skiing is at one of the ends.\nClue 78: The person who drives the Benelli is at one of the ends.\nClue 79: The person who lives in the purple house is immediately to the left of the person who likes Fanta.\nClue 80: Alex is immediately to the left of the person who smokes Marlboro.\nClue 81: The person who supports the Lakers is next to the person who smokes Pall Mall.\nClue 82: The person who likes skiing is not the person who smokes Newport.\nClue 83: The person who likes Pepsi is the person who likes swallows.\nClue 84: The person who drives the Suzuki is the person who likes Topaz.\nClue 85: The person who likes biking is at one of the ends.\nClue 86: The person who drives the Harley-Davidson is the person who eats mangoes.\nClue 87: The piano player is immediately to the left of the German.\nClue 88: The person who drinks water is the person who owns a Kate Spade.\nClue 89: The person who smokes Newport is Barbara.\nClue 90: The person who likes metal detecting is immediately to the left of the person who likes lilies.\nClue 91: The person who drives the Suzuki is immediately to the left of the person who drinks milk.\nClue 92: The person who drives the Yamaha is the Canadian.\nClue 93: Jones is immediately to the left of Nour.\nClue 94: The person who likes Corals is somewhere to the left of the person who drives the Suzuki.\nClue 95: The person who drinks orange juice is not Nour.\nClue 96: The person who drives the Piaggio is not the person who likes weight lifting.\nClue 97: The person who drives the Piaggio is somewhere in between the drums player and the person who smokes Blends in that order.\nClue 98: The Canadian is not the cello player.\nClue 99: The person who eats apples is the person who owns a Polo Ralph Lauren.\nClue 100: The person who likes tulips is next to the person who lives in the red house.\nClue 101: The person who likes Diamonds is next to the drums player.\nClue 102: The person who drives the Ducati is the person who supports the Suns.\nClue 103: The person who likes biking is next to the person who reads science fiction books.\nClue 104: The person who eats oranges is somewhere to the left of the person who drinks hot chocolate.\nClue 105: The person who likes Topaz is next to the person who likes weight lifting.\nClue 106: The person who owns a Tumi is next to the person who owns a Coach.\nClue 107: The person who drinks hot chocolate is not the person who eats bananas.\nClue 108: The person who likes squids is next to the person who lives in the orange house.\nClue 109: The person who drives the Benelli is at one of the ends.\nClue 110: The person who supports the Bucks is somewhere to the left of the person who eats pears.\nClue 111: The person who likes roses is immediately to the left of the person who likes Sprite.\nClue 112: The person who eats grapes is the harp player.\nClue 113: The person who likes skiing is not the person who likes Sapphires.\nClue 114: The person who reads humor books is the person who lives in the red house.\nClue 115: The cello player is Jones.\nClue 116: The person who smokes Blends is not the person who supports the Lakers.\nClue 117: The person who supports the Lakers is immediately to the left of the person who drinks water.\nClue 118: The person who drinks orange juice is somewhere in between the person who likes Corals and the person who likes weight lifting in that order.\nClue 119: The person who likes Emeralds is the person who eats apples.\nClue 120: The person who smokes Newport is the Italian.\nClue 121: The person who reads magical realism books is at one of the ends.\nClue 122: The person who owns a Kate Spade is somewhere to the left of the Canadian.\nClue 123: The person who lives in the blue house is the person who likes dugongs.\nClue 124: The person who likes scuba diving is at one of the ends.\nClue 125: The person who likes dugongs is at one of the ends.\n\nQuestion: What position is the person who likes Coke at?",
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    "id": "bbeh:zebra_puzzles:111",
    "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone drinks a different drink: iced coffee, hot chocolate, lemonade, water, tea, beer.\nEveryone drives a different car: Hyundai, Kia, Tesla, Mercedes, McLaren, Ferrari.\nEveryone likes a different type of gemstone: Diamonds, Aquamarines, Dolomites, Opals, Corals, Gypsum.\nEveryone smokes a different cigarette: Salem, Winston, Marlboro, Blue Master, Camel, Newport.\nEveryone is a different nationality: Malaysian, Iranian, Japanese, Nepali, Brit, Indian.\nEveryone has a different profession: doctor, architect, teacher, spy, programmer, actor.\nEveryone likes a different favorite animal: cougars, woodpeckers, aardvarks, crabs, bees, cats.\nEveryone supports a different NBA team: Celtics, Suns, Cavaliers, Knicks, Bulls, Warriors.\nEveryone has a different name: Michelle, Ahmed, Wang, Michael, Rafael, Tao.\nEveryone likes a different type of flower: orchids, begonias, peonies, marigolds, daffodils, dahlias.\nEveryone lives in a different colored house: teal, purple, indigo, silver, grey, pink.\nEveryone has a different favorite hobby: crocheting, photography, wood carving, archery, quilting, horse riding.\nEveryone drives a different motorbike: Honda, Yamaha, Harley-Davidson, Buell, Suzuki, Piaggio.\nEveryone plays a different sport: basketball, tennis, ice hockey, baseball, table tennis, squash.\nEveryone owns a different handbag brand: Balenciaga, Versace, Tory Burch, Gucci, Kate Spade, Michael Kors.\nEveryone likes a different fruit: pears, grapes, raspberries, kiwis, oranges, blackberries.\nEveryone reads a different genre of books: short story, mystery, science fiction, humor, magical realism, fantasy.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes quilting is somewhere in between the Brit and the person who supports the Celtics in that order.\nClue 2: The person who likes woodpeckers is not the person who likes peonies.\nClue 3: The person who likes Gypsum is the person at the 2nd position.\nClue 4: Tao is somewhere to the left of the person who likes photography.\nClue 5: The person who likes cougars is somewhere in between the person who likes wood carving and the person who likes woodpeckers in that order.\nClue 6: The Malaysian is the actor.\nClue 7: The person who lives in the silver house is the person who eats pears.\nClue 8: The person who drinks lemonade is immediately to the left of the person who owns a Versace.\nClue 9: The person who owns a Michael Kors is at one of the ends.\nClue 10: The spy is at one of the ends.\nClue 11: The person who likes dahlias is the person who reads humor books.\nClue 12: The actor is somewhere in between Tao and the person who drinks hot chocolate in that order.\nClue 13: Michelle is not the person who supports the Warriors.\nClue 14: The basketball player is at one of the ends.\nClue 15: The person who likes peonies is somewhere to the left of the person who likes cougars.\nClue 16: Tao is the person who likes begonias.\nClue 17: The person who drives the Tesla is next to the person who supports the Cavaliers.\nClue 18: The person who likes cougars is somewhere in between the person who likes begonias and the person who supports the Knicks in that order.\nClue 19: The spy is immediately to the left of the Nepali.\nClue 20: The person who reads science fiction books is at one of the ends.\nClue 21: The person who lives in the pink house is somewhere in between the person who drives the Honda and the tennis player in that order.\nClue 22: The person who likes daffodils is somewhere in between the person who owns a Tory Burch and the person who drives the Mercedes in that order.\nClue 23: Rafael is not the doctor.\nClue 24: The person who owns a Balenciaga is not the person who likes begonias.\nClue 25: The person who eats blackberries is next to the person who drives the Buell.\nClue 26: The Brit is somewhere to the left of the person who likes crabs.\nClue 27: The person who drives the Mercedes is at one of the ends.\nClue 28: Michelle is next to the person who drives the Tesla.\nClue 29: Wang is next to the person who drives the Tesla.\nClue 30: The person who reads science fiction books is the person who drinks water.\nClue 31: The person who likes daffodils is somewhere in between Wang and the person who likes marigolds in that order.\nClue 32: The doctor is Ahmed.\nClue 33: The spy is the person who likes cats.\nClue 34: The person who drinks tea is the person who likes crocheting.\nClue 35: The person who owns a Tory Burch is somewhere in between the person who drinks iced coffee and the person who drives the Tesla in that order.\nClue 36: The person who likes horse riding is not the person who drinks hot chocolate.\nClue 37: The person who drinks beer is next to the person who likes bees.\nClue 38: The person who supports the Knicks is immediately to the left of the programmer.\nClue 39: The person who drives the Mercedes is at one of the ends.\nClue 40: The person who supports the Bulls is at one of the ends.\nClue 41: The person who owns a Gucci is not the programmer.\nClue 42: The person who drives the Kia is not the person who likes crocheting.\nClue 43: The squash player is somewhere to the left of the baseball player.\nClue 44: The person who smokes Blue Master is at one of the ends.\nClue 45: The person who likes woodpeckers is somewhere in between the person who drinks beer and the person who likes marigolds in that order.\nClue 46: The person who drinks beer is not the teacher.\nClue 47: The person who reads humor books is next to the person who drinks tea.\nClue 48: The person who reads mystery books is somewhere to the left of the person who likes quilting.\nClue 49: The person who likes cats is at one of the ends.\nClue 50: The person who owns a Versace is not the person who supports the Knicks.\nClue 51: The Japanese is next to the person who likes crocheting.\nClue 52: The person who owns a Gucci is not the person who likes daffodils.\nClue 53: The person who drives the Tesla is immediately to the left of the person who owns a Michael Kors.\nClue 54: The person who reads magical realism books is somewhere in between the person who drives the Ferrari and the person who supports the Celtics in that order.\nClue 55: The person who supports the Cavaliers is next to the person who drives the Hyundai.\nClue 56: The person who smokes Newport is next to the person who lives in the purple house.\nClue 57: The person who lives in the silver house is somewhere to the left of the person who smokes Camel.\nClue 58: The person who reads magical realism books is next to the person who likes crabs.\nClue 59: The person who drinks hot chocolate is next to the person who drinks beer.\nClue 60: The person who likes crabs is at one of the ends.\nClue 61: The person who owns a Balenciaga is at one of the ends.\nClue 62: The squash player is immediately to the left of the person who eats kiwis.\nClue 63: The ice hockey player is immediately to the left of the tennis player.\nClue 64: The person who likes quilting is somewhere in between the Brit and the person who reads magical realism books in that order.\nClue 65: The person who likes Corals is next to the person who eats blackberries.\nClue 66: The person who likes quilting is somewhere to the left of the person who drives the Tesla.\nClue 67: Wang is immediately to the left of the person who drinks hot chocolate.\nClue 68: The person who likes marigolds is at one of the ends.\nClue 69: The person who owns a Kate Spade is next to the person who supports the Cavaliers.\nClue 70: The person who likes cats is not Ahmed.\nClue 71: The person who likes peonies is not the Indian.\nClue 72: The architect is next to the person who likes wood carving.\nClue 73: The person who likes archery is next to Michelle.\nClue 74: The person who likes daffodils is the person who drinks hot chocolate.\nClue 75: The person who likes begonias is immediately to the left of Ahmed.\nClue 76: The person who drives the Kia is next to the person who reads fantasy books.\nClue 77: Ahmed is the person who reads mystery books.\nClue 78: The person who likes woodpeckers is not the spy.\nClue 79: The person who likes marigolds is next to the person who owns a Kate Spade.\nClue 80: The person who likes Opals is at one of the ends.\nClue 81: The person who drives the Mercedes is Michelle.\nClue 82: The person who likes dahlias is not the person who reads short story books.\nClue 83: The person who drinks beer is the person who likes cougars.\nClue 84: Michelle is not the person who drinks hot chocolate.\nClue 85: The person who supports the Celtics is Michelle.\nClue 86: The person who supports the Celtics is not the person who reads short story books.\nClue 87: The person who owns a Kate Spade is the person who drives the Tesla.\nClue 88: The Malaysian is the person who likes quilting.\nClue 89: The person who eats pears is immediately to the left of the person who drives the Suzuki.\nClue 90: The person who likes orchids is immediately to the left of the Iranian.\nClue 91: The person who drives the Harley-Davidson is immediately to the left of the tennis player.\nClue 92: The person who drives the Honda is next to the person who eats grapes.\nClue 93: The person who eats kiwis is immediately to the left of the person who drives the Buell.\nClue 94: The person who lives in the grey house is the person who smokes Newport.\nClue 95: The person who likes Gypsum is next to the person who likes Dolomites.\nClue 96: The person who drinks water is next to the person who likes woodpeckers.\nClue 97: The person who lives in the indigo house is the person who smokes Salem.\nClue 98: The person who smokes Newport is next to the person who eats oranges.\nClue 99: The person who drives the Hyundai is somewhere to the left of the person who reads science fiction books.\nClue 100: The person who likes Gypsum is somewhere in between the person who likes Diamonds and the person who eats oranges in that order.\nClue 101: Tao is immediately to the left of the person who likes peonies.\nClue 102: The person who drinks iced coffee is somewhere in between Tao and the person who reads science fiction books in that order.\nClue 103: Tao is not the teacher.\nClue 104: The squash player is immediately to the left of the person who lives in the indigo house.\nClue 105: The person who supports the Suns is somewhere to the left of the Malaysian.\nClue 106: The teacher is the person who likes archery.\nClue 107: The person who drives the Honda is the basketball player.\nClue 108: The person who likes orchids is somewhere in between the architect and Michael in that order.\nClue 109: The person who owns a Kate Spade is somewhere in between the person who likes cougars and the person who likes photography in that order.\nClue 110: The person who owns a Tory Burch is not the person who drives the Kia.\nClue 111: The person who likes peonies is next to the person who likes aardvarks.\nClue 112: The person who likes cougars is not the person who drives the Mercedes.\nClue 113: The person who reads magical realism books is not the person who likes begonias.\nClue 114: Wang is somewhere in between the person who reads mystery books and the person who reads magical realism books in that order.\nClue 115: The person who owns a Michael Kors is at one of the ends.\nClue 116: The person who reads humor books is not the person who supports the Celtics.\nClue 117: The person who owns a Tory Burch is somewhere in between the person who supports the Warriors and the person who supports the Knicks in that order.\nClue 118: The Nepali is somewhere in between the person who supports the Bulls and the person who drinks hot chocolate in that order.\nClue 119: The person who reads fantasy books is not the Iranian.\nClue 120: The person who likes begonias is immediately to the left of the person who drinks iced coffee.\nClue 121: The person who owns a Gucci is the person who drives the Hyundai.\nClue 122: The person who eats blackberries is the person who likes Opals.\nClue 123: The person who owns a Balenciaga is next to the person who drinks tea.\nClue 124: The person who smokes Winston is the person who drives the Yamaha.\nClue 125: The Brit is somewhere to the left of the person who drinks hot chocolate.\nClue 126: The person who likes marigolds is at one of the ends.\nClue 127: The person who eats blackberries is next to the person who lives in the silver house.\n\nQuestion: What position is the person who likes Opals at?",
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    "id": "bbeh:zebra_puzzles:116",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of gemstone: Sapphires, Ambers, Topaz, Obsidians, Moonstones, Amethysts, Aquamarines.\nEveryone smokes a different cigarette: Marlboro, Camel, Dunhill, Blue Master, Davidoff, Pall Mall, Newport.\nEveryone likes a different fruit: raspberries, pears, bananas, strawberries, grapes, kiwis, blueberries.\nEveryone has a different favorite soft drink: Powerade, 7up, Coke, Canada Dry, Limca, Mountain Dew, Mirinda.\nEveryone supports a different NFL team: Denver Broncos, Dallas Cowboys, Baltimore Ravens, Chicago Bears, San Francisco 49ers, Cincinnati Bengals, Los Angeles Rams.\nEveryone drinks a different drink: hot chocolate, iced coffee, coffee, beer, milk, orange juice, tea.\nEveryone likes a different physical activity: bungee jumping, swimming, biking, base jumping, skiing, hiking, snorkeling.\nEveryone likes a different favorite animal: zebras, amberjacks, crickets, canaries, coyotes, lobsters, donkeys.\nEveryone has a different favorite hobby: juggling, astronomy, beekeeping, welding, pottery, cooking, coin collecting.\nEveryone drives a different motorbike: Harley-Davidson, Kawasaki, Buell, Piaggio, Bajaj, Honda, Benelli.\nEveryone likes a different food: pasta, curry, sandwiches, burgers, noodles, soups, pizza.\nEveryone supports a different NBA team: Mavericks, Celtics, Cavaliers, Lakers, Hawks, Knicks, Warriors.\nEveryone reads a different genre of books: humor, spiritual, magical realism, short story, mystery, fantasy, history.\nEveryone plays a different musical instrument: saxophone, harp, piano, flute, violin, harmonica, guitar.\nEveryone owns a different handbag brand: Kate Spade, Versace, Michael Kors, Dolce and Gabbana, Tory Burch, Tumi, Coach.\nEveryone lives in a different colored house: red, green, turquoise, pink, silver, beige, magenta.\nEveryone is a different nationality: Japanese, Chilean, Canadian, Bangladeshi, Dane, German, Croatian.\nEveryone plays a different sport: tennis, soccer, baseball, badminton, cricket, table tennis, squash.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes Mirinda is somewhere in between the Croatian and the saxophone player in that order.\nClue 2: The piano player is immediately to the left of the person who likes welding.\nClue 3: The person who owns a Kate Spade is the person who smokes Camel.\nClue 4: The person who likes crickets is the person who owns a Tory Burch.\nClue 5: The person who supports the Hawks is the squash player.\nClue 6: The person who likes Powerade is somewhere to the left of the person who likes astronomy.\nClue 7: The person who lives in the silver house is next to the person who lives in the green house.\nClue 8: The person who likes coyotes is immediately to the left of the person who supports the Lakers.\nClue 9: The person who likes Sapphires is somewhere to the left of the person who likes beekeeping.\nClue 10: The saxophone player is somewhere in between the person who likes cooking and the person who likes Topaz in that order.\nClue 11: The person who drinks coffee is immediately to the left of the person who likes Ambers.\nClue 12: The person who drives the Piaggio is not the person who lives in the pink house.\nClue 13: The person who likes skiing is not the person who drives the Bajaj.\nClue 14: The person who likes lobsters is the tennis player.\nClue 15: The person who likes pizza is the person who owns a Dolce and Gabbana.\nClue 16: The harp player is at one of the ends.\nClue 17: The person who likes Canada Dry is somewhere in between the person who likes Moonstones and the person who likes Obsidians in that order.\nClue 18: The tennis player is the person who likes pasta.\nClue 19: The person who smokes Marlboro is the person who supports the Dallas Cowboys.\nClue 20: The person who likes crickets is immediately to the left of the person who supports the Celtics.\nClue 21: The person who supports the Cavaliers is the person who supports the Dallas Cowboys.\nClue 22: The person who drinks orange juice is somewhere in between the person who eats blueberries and the person who likes base jumping in that order.\nClue 23: The person who reads magical realism books is not the person who lives in the turquoise house.\nClue 24: The person who reads mystery books is at one of the ends.\nClue 25: The flute player is somewhere in between the person who drinks coffee and the person who reads humor books in that order.\nClue 26: The person who likes skiing is somewhere to the left of the person who likes Obsidians.\nClue 27: The person who likes base jumping is at one of the ends.\nClue 28: The person who drives the Harley-Davidson is next to the person who lives in the turquoise house.\nClue 29: The person who eats strawberries is at one of the ends.\nClue 30: The person who likes Mirinda is somewhere to the left of the person who likes Moonstones.\nClue 31: The tennis player is the person who supports the Warriors.\nClue 32: The person who smokes Newport is at one of the ends.\nClue 33: The harp player is the person who eats kiwis.\nClue 34: The person who likes donkeys is the person who supports the Los Angeles Rams.\nClue 35: The person who drinks hot chocolate is at one of the ends.\nClue 36: The badminton player is next to the person who owns a Michael Kors.\nClue 37: The person who likes hiking is not the person who likes Amethysts.\nClue 38: The person who likes pottery is somewhere to the left of the person who lives in the silver house.\nClue 39: The person who drinks beer is the person who reads mystery books.\nClue 40: The person who lives in the silver house is at one of the ends.\nClue 41: The Chilean is the person who drinks milk.\nClue 42: The person who likes 7up is somewhere to the left of the person who reads short story books.\nClue 43: The person who drinks coffee is not the person who drives the Honda.\nClue 44: The person who likes Canada Dry is not the Canadian.\nClue 45: The person who lives in the magenta house is the person who drinks beer.\nClue 46: The person at the 2nd position is immediately to the left of the person who owns a Coach.\nClue 47: The person who eats bananas is the person who likes Powerade.\nClue 48: The piano player is somewhere to the left of the person who likes Mountain Dew.\nClue 49: The person who supports the Lakers is the person at the 6th position.\nClue 50: The person who drives the Buell is not the person who lives in the magenta house.\nClue 51: The person who likes Moonstones is not the person who drives the Kawasaki.\nClue 52: The person who lives in the turquoise house is next to the person who drinks milk.\nClue 53: The person who likes zebras is somewhere to the left of the person who supports the Denver Broncos.\nClue 54: The person who eats grapes is not the person who drives the Bajaj.\nClue 55: The person who likes snorkeling is somewhere to the left of the person who likes astronomy.\nClue 56: The person who likes welding is the person who likes Ambers.\nClue 57: The flute player is immediately to the left of the person who likes swimming.\nClue 58: The person who lives in the beige house is somewhere in between the person who eats strawberries and the Bangladeshi in that order.\nClue 59: The person who likes astronomy is not the guitar player.\nClue 60: The Canadian is the person who likes Ambers.\nClue 61: The Bangladeshi is next to the person who drinks orange juice.\nClue 62: The person who lives in the pink house is immediately to the left of the person who likes Coke.\nClue 63: The person who drinks milk is somewhere in between the person who likes welding and the person who likes Obsidians in that order.\nClue 64: The person who likes Powerade is next to the harmonica player.\nClue 65: The person at the 3rd position is the cricket player.\nClue 66: The person who likes hiking is somewhere to the left of the person who likes beekeeping.\nClue 67: The Dane is somewhere in between the piano player and the person who lives in the silver house in that order.\nClue 68: The person who eats grapes is somewhere in between the person who likes Mirinda and the person who likes juggling in that order.\nClue 69: The person who smokes Dunhill is the person who owns a Tumi.\nClue 70: The flute player is the person who drinks iced coffee.\nClue 71: The violin player is the person who drives the Harley-Davidson.\nClue 72: The person who likes coyotes is the person who owns a Michael Kors.\nClue 73: The person who lives in the magenta house is not the person who likes Ambers.\nClue 74: The Bangladeshi is immediately to the left of the person who likes Topaz.\nClue 75: The person who eats kiwis is next to the person who likes beekeeping.\nClue 76: The person who likes sandwiches is at one of the ends.\nClue 77: The person who likes Amethysts is somewhere in between the person who likes hiking and the person who eats grapes in that order.\nClue 78: The person who likes pottery is next to the harmonica player.\nClue 79: The badminton player is next to the person who smokes Pall Mall.\nClue 80: The saxophone player is not the person who eats pears.\nClue 81: The person who drives the Honda is somewhere in between the person who drinks orange juice and the person who eats pears in that order.\nClue 82: The person who reads mystery books is at one of the ends.\nClue 83: The person who likes burgers is next to the table tennis player.\nClue 84: The person who eats blueberries is not the person who drinks orange juice.\nClue 85: The person who drinks tea is somewhere in between the person who likes cooking and the guitar player in that order.\nClue 86: The person who supports the Dallas Cowboys is immediately to the left of the person who likes amberjacks.\nClue 87: The person who drives the Honda is not the guitar player.\nClue 88: The person who likes coyotes is the person who supports the Chicago Bears.\nClue 89: The person who owns a Tory Burch is the person who smokes Marlboro.\nClue 90: The person who supports the Los Angeles Rams is the person who supports the Mavericks.\nClue 91: The person who lives in the red house is somewhere in between the person who reads fantasy books and the person who reads history books in that order.\nClue 92: The person who supports the Baltimore Ravens is next to the person who likes canaries.\nClue 93: The Bangladeshi is the person who likes Coke.\nClue 94: The person who likes pizza is next to the person who supports the Celtics.\nClue 95: The person who lives in the pink house is somewhere in between the person who likes Mirinda and the person who likes Moonstones in that order.\nClue 96: The person who eats strawberries is at one of the ends.\nClue 97: The person who lives in the silver house is at one of the ends.\nClue 98: The person who likes base jumping is the harp player.\nClue 99: The person who likes skiing is not the person who likes coin collecting.\nClue 100: The person who drinks coffee is not the person who likes welding.\nClue 101: The person who likes coin collecting is at one of the ends.\nClue 102: The guitar player is somewhere in between the person who eats raspberries and the German in that order.\nClue 103: The person who drives the Bajaj is not the person who likes Amethysts.\nClue 104: The person who eats blueberries is next to the person who drives the Harley-Davidson.\nClue 105: The person who eats grapes is immediately to the left of the saxophone player.\nClue 106: The person who drinks coffee is the person who likes Powerade.\nClue 107: The table tennis player is next to the badminton player.\nClue 108: The person who likes welding is not the Chilean.\nClue 109: The person who likes Limca is somewhere to the left of the person who likes snorkeling.\nClue 110: The person who likes beekeeping is immediately to the left of the person who likes astronomy.\nClue 111: The person who drinks tea is immediately to the left of the person who likes Canada Dry.\nClue 112: The person who likes noodles is the person who smokes Marlboro.\nClue 113: The person who drives the Bajaj is at one of the ends.\nClue 114: The person who likes donkeys is immediately to the left of the person who supports the Hawks.\nClue 115: The person who likes Sapphires is at one of the ends.\nClue 116: The Bangladeshi is somewhere in between the person who likes Aquamarines and the person who likes snorkeling in that order.\nClue 117: The person who lives in the red house is not the person who drinks beer.\nClue 118: The person who drinks coffee is not the person who drives the Benelli.\nClue 119: The person who likes Aquamarines is next to the person who drinks tea.\nClue 120: The person who likes Topaz is somewhere in between the violin player and the person who likes base jumping in that order.\nClue 121: The person who reads short story books is immediately to the left of the person who likes beekeeping.\nClue 122: The person who lives in the green house is the Chilean.\nClue 123: The person at the 4th position is the person who smokes Blue Master.\nClue 124: The person who likes cooking is somewhere in between the person who likes Powerade and the person who likes Topaz in that order.\nClue 125: The person who likes 7up is at one of the ends.\nClue 126: The person who drinks hot chocolate is at one of the ends.\nClue 127: The person who likes hiking is not the flute player.\nClue 128: The person who likes amberjacks is the person who supports the San Francisco 49ers.\nClue 129: The person who likes soups is somewhere in between the person who supports the Los Angeles Rams and the badminton player in that order.\nClue 130: The baseball player is immediately to the left of the person who supports the San Francisco 49ers.\nClue 131: The person who owns a Kate Spade is the table tennis player.\nClue 132: The person who likes astronomy is the person who reads humor books.\nClue 133: The person who likes biking is immediately to the left of the person who likes snorkeling.\nClue 134: The person who likes juggling is the Bangladeshi.\nClue 135: The person who drives the Harley-Davidson is the person who likes swimming.\nClue 136: The person who supports the Cincinnati Bengals is the person who likes pasta.\nClue 137: The person who owns a Tumi is the person who supports the Lakers.\nClue 138: The person who drinks iced coffee is somewhere to the left of the person who drinks orange juice.\nClue 139: The person who reads magical realism books is not the person who drives the Bajaj.\n\nQuestion: What position is the person who likes amberjacks at?",
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    "dataset": "bbeh",
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    "id": "bbeh:zebra_puzzles:117",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drives a different motorbike: Piaggio, Ducati, Harley-Davidson, Suzuki, Bajaj, Honda, Buell.\nEveryone likes a different type of flower: orchids, lilies, dahlias, marigolds, roses, peonies, begonias.\nEveryone likes a different type of gemstone: Emeralds, Sapphires, Gypsum, Topaz, Aquamarines, Obsidians, Moonstones.\nEveryone supports a different NBA team: Knicks, Bulls, Suns, Warriors, Hawks, Bucks, Mavericks.\nEveryone has a different favorite soft drink: Gatorade, Canada Dry, 7up, Limca, Powerade, Dr Pepper, Coke.\nEveryone is a different nationality: Bulgarian, Sri Lankan, Spanish, Indian, Italian, Portuguese, Turkish.\nEveryone drinks a different drink: beer, lemonade, coffee, orange juice, water, iced coffee, milk.\nEveryone supports a different NFL team: Pittsburgh Steelers, Seattle Seahawks, Kansas City Chiefs, Cincinnati Bengals, Philadelphia Eagles, Buffalo Bills, Tennessee Titans.\nEveryone plays a different musical instrument: cello, drums, saxophone, flute, harmonica, piano, violin.\nEveryone plays a different sport: basketball, table tennis, ice hockey, tennis, badminton, squash, volleyball.\nEveryone likes a different favorite animal: cats, doctorfish, caterpillars, woodpeckers, lobsters, sharks, kudus.\nEveryone owns a different handbag brand: Tory Burch, Polo Ralph Lauren, Balenciaga, Coach, Dolce and Gabbana, Kate Spade, Versace.\nEveryone drives a different car: Honda, Ford, Toyota, McLaren, Lexus, Hyundai, BMW.\nEveryone likes a different physical activity: paragliding, bungee jumping, snorkeling, weight lifting, hiking, biking, base jumping.\nEveryone smokes a different cigarette: Davidoff, Blends, Salem, Pall Mall, Winston, Camel, Marlboro.\nEveryone has a different favorite hobby: welding, camping, cooking, stamp collecting, bird watching, wine making, video games.\nEveryone has a different profession: actor, athlete, singer, doctor, architect, engineer, chef.\nEveryone likes a different fruit: blueberries, kiwis, oranges, apples, blackberries, mangoes, pears.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Toyota is somewhere in between the person who drives the BMW and the person who likes Emeralds in that order.\nClue 2: The engineer is the volleyball player.\nClue 3: The person who likes peonies is somewhere in between the Italian and the Turkish in that order.\nClue 4: The volleyball player is not the Spanish.\nClue 5: The person who likes 7up is not the actor.\nClue 6: The person who likes 7up is at one of the ends.\nClue 7: The person who drives the BMW is somewhere in between the person at the 4th position and the flute player in that order.\nClue 8: The singer is the person who drives the Harley-Davidson.\nClue 9: The person who drinks orange juice is the person who supports the Suns.\nClue 10: The person who supports the Pittsburgh Steelers is next to the person who likes Obsidians.\nClue 11: The person who drinks beer is the person who supports the Tennessee Titans.\nClue 12: The person who likes Sapphires is immediately to the left of the person who drives the Hyundai.\nClue 13: The person who likes wine making is the doctor.\nClue 14: The person who supports the Bucks is the person who supports the Cincinnati Bengals.\nClue 15: The tennis player is at one of the ends.\nClue 16: The person who likes cats is immediately to the left of the person who likes Powerade.\nClue 17: The person who likes Dr Pepper is the Indian.\nClue 18: The person who likes Canada Dry is immediately to the left of the person who likes Limca.\nClue 19: The person who drives the Bajaj is somewhere to the left of the tennis player.\nClue 20: The person who supports the Suns is immediately to the left of the person who supports the Knicks.\nClue 21: The chef is not the person who likes Gatorade.\nClue 22: The person who likes snorkeling is the person who supports the Warriors.\nClue 23: The actor is the badminton player.\nClue 24: The drums player is the person who supports the Bucks.\nClue 25: The person who smokes Pall Mall is somewhere in between the person who eats apples and the Bulgarian in that order.\nClue 26: The person who likes Emeralds is not the piano player.\nClue 27: The Turkish is not the person who eats oranges.\nClue 28: The person who supports the Pittsburgh Steelers is somewhere in between the person who drives the McLaren and the person who likes biking in that order.\nClue 29: The Italian is not the architect.\nClue 30: The person who likes doctorfish is not the engineer.\nClue 31: The person who likes orchids is next to the person who eats pears.\nClue 32: The chef is immediately to the left of the person who likes 7up.\nClue 33: The person who likes cats is next to the person who drives the Piaggio.\nClue 34: The Spanish is next to the person who drives the Suzuki.\nClue 35: The athlete is the person who likes welding.\nClue 36: The person who drives the Toyota is the person who drinks milk.\nClue 37: The Portuguese is at one of the ends.\nClue 38: The tennis player is the person who smokes Camel.\nClue 39: The person who likes welding is the table tennis player.\nClue 40: The person who eats blueberries is somewhere to the left of the person who smokes Salem.\nClue 41: The person who eats kiwis is at one of the ends.\nClue 42: The person who likes peonies is immediately to the left of the athlete.\nClue 43: The person who smokes Marlboro is somewhere in between the Italian and the person who likes kudus in that order.\nClue 44: The actor is immediately to the left of the Turkish.\nClue 45: The person who likes Gypsum is somewhere to the left of the person who supports the Warriors.\nClue 46: The person at the 1st position is immediately to the left of the saxophone player.\nClue 47: The person who likes base jumping is the violin player.\nClue 48: The person who likes wine making is somewhere to the left of the person who likes Powerade.\nClue 49: The person who likes camping is the volleyball player.\nClue 50: The person who likes biking is next to the person who likes Topaz.\nClue 51: The person who drives the Hyundai is the person who drinks beer.\nClue 52: The person who drives the Ford is the person who supports the Kansas City Chiefs.\nClue 53: The person who likes wine making is not the person who owns a Balenciaga.\nClue 54: The person who likes stamp collecting is not the person who likes orchids.\nClue 55: The person who likes Dr Pepper is next to the person who likes Coke.\nClue 56: The person who eats mangoes is somewhere in between the basketball player and the person who likes 7up in that order.\nClue 57: The ice hockey player is somewhere to the left of the person who drives the Bajaj.\nClue 58: The person who drives the Harley-Davidson is at one of the ends.\nClue 59: The person who eats blueberries is not the person who likes Coke.\nClue 60: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 61: The person who likes wine making is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 62: The person who likes lilies is next to the person who likes wine making.\nClue 63: The Spanish is not the person who likes lilies.\nClue 64: The person who eats apples is somewhere in between the person who drives the Honda and the person who likes cats in that order.\nClue 65: The person who likes roses is next to the person who likes marigolds.\nClue 66: The person who drinks iced coffee is at one of the ends.\nClue 67: The person who smokes Winston is at one of the ends.\nClue 68: The person who likes Emeralds is the person who supports the Philadelphia Eagles.\nClue 69: The architect is at one of the ends.\nClue 70: The person who likes cooking is immediately to the left of the person who owns a Versace.\nClue 71: The engineer is the Italian.\nClue 72: The person who likes snorkeling is immediately to the left of the person who drives the Ford.\nClue 73: The person who supports the Bucks is at one of the ends.\nClue 74: The person who likes wine making is somewhere in between the person who drives the Piaggio and the person who likes video games in that order.\nClue 75: The person who likes lobsters is immediately to the left of the person who smokes Davidoff.\nClue 76: The person who likes stamp collecting is not the person who likes caterpillars.\nClue 77: The person who likes marigolds is somewhere to the left of the person who likes doctorfish.\nClue 78: The person who drives the McLaren is somewhere to the left of the person who likes paragliding.\nClue 79: The person who eats blueberries is immediately to the left of the person who smokes Salem.\nClue 80: The person who supports the Cincinnati Bengals is next to the person who supports the Bulls.\nClue 81: The person who supports the Bucks is immediately to the left of the person who supports the Seattle Seahawks.\nClue 82: The person who likes Canada Dry is immediately to the left of the person who owns a Versace.\nClue 83: The person who likes video games is the tennis player.\nClue 84: The tennis player is the architect.\nClue 85: The person who owns a Tory Burch is not the person who eats mangoes.\nClue 86: The person who likes cats is somewhere to the left of the architect.\nClue 87: The person who likes Dr Pepper is immediately to the left of the person who owns a Balenciaga.\nClue 88: The Italian is not the person who drives the Bajaj.\nClue 89: The badminton player is the actor.\nClue 90: The person who likes lobsters is next to the person who smokes Winston.\nClue 91: The person who supports the Knicks is somewhere in between the person who likes paragliding and the person who drinks lemonade in that order.\nClue 92: The person who likes caterpillars is somewhere to the left of the person who smokes Marlboro.\nClue 93: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 94: The person who drives the Ducati is not the Turkish.\nClue 95: The person who smokes Winston is at one of the ends.\nClue 96: The person who drives the Lexus is immediately to the left of the person who drives the McLaren.\nClue 97: The person who likes marigolds is somewhere to the left of the tennis player.\nClue 98: The person who smokes Camel is next to the person who likes kudus.\nClue 99: The person who likes peonies is somewhere in between the person who owns a Versace and the table tennis player in that order.\nClue 100: The person who likes cooking is at one of the ends.\nClue 101: The person who drinks milk is next to the person who likes Topaz.\nClue 102: The person who owns a Coach is next to the person who likes begonias.\nClue 103: The chef is somewhere in between the person who likes wine making and the person who eats kiwis in that order.\nClue 104: The person who likes Aquamarines is next to the person who supports the Philadelphia Eagles.\nClue 105: The person who likes snorkeling is the harmonica player.\nClue 106: The architect is at one of the ends.\nClue 107: The person who smokes Salem is somewhere in between the Sri Lankan and the person who owns a Polo Ralph Lauren in that order.\nClue 108: The person who drives the Harley-Davidson is the person who likes cooking.\nClue 109: The person who likes Sapphires is next to the person who supports the Cincinnati Bengals.\nClue 110: The person who likes Sapphires is the person who drinks coffee.\nClue 111: The person who likes bird watching is somewhere in between the person who likes sharks and the person who drives the Buell in that order.\nClue 112: The person who likes lobsters is the person who smokes Blends.\nClue 113: The person who eats mangoes is immediately to the left of the person who likes doctorfish.\nClue 114: The person who owns a Balenciaga is next to the person who owns a Tory Burch.\nClue 115: The person who drives the Ducati is at one of the ends.\nClue 116: The engineer is not the person who eats oranges.\nClue 117: The person who likes roses is not the badminton player.\nClue 118: The Spanish is the person who likes sharks.\nClue 119: The person who eats pears is somewhere to the left of the person who likes welding.\nClue 120: The person who likes peonies is somewhere to the left of the person who drives the Bajaj.\nClue 121: The person who supports the Warriors is immediately to the left of the cello player.\nClue 122: The person who smokes Camel is not the person who likes lobsters.\nClue 123: The person who likes orchids is the person who likes cooking.\nClue 124: The person who drives the Honda is the person who supports the Philadelphia Eagles.\nClue 125: The ice hockey player is at one of the ends.\nClue 126: The person who owns a Dolce and Gabbana is next to the person who smokes Pall Mall.\nClue 127: The person who drives the Piaggio is somewhere to the left of the person who eats blueberries.\nClue 128: The person who likes hiking is at one of the ends.\nClue 129: The person who likes snorkeling is the person who likes Moonstones.\nClue 130: The person who drinks orange juice is not the person at the 4th position.\nClue 131: The person who owns a Dolce and Gabbana is somewhere in between the doctor and the person who likes dahlias in that order.\nClue 132: The person who likes Canada Dry is not the person who smokes Camel.\nClue 133: The person who likes cats is not the person who likes Canada Dry.\nClue 134: The person who owns a Tory Burch is next to the table tennis player.\nClue 135: The person who eats kiwis is at one of the ends.\nClue 136: The person who likes Aquamarines is somewhere in between the person who drinks water and the person who supports the Hawks in that order.\nClue 137: The person who likes welding is somewhere in between the person who drives the Honda and the person who eats blueberries in that order.\nClue 138: The person who smokes Pall Mall is somewhere in between the person who likes roses and the Bulgarian in that order.\nClue 139: The person who likes Coke is the person who eats apples.\nClue 140: The person who supports the Suns is somewhere to the left of the person who likes bungee jumping.\n\nQuestion: What position is the person who supports the Knicks at?",
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    "id": "bbeh:zebra_puzzles:120",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different favorite animal: panthers, cougars, amberjacks, kangaroos, grizzly bears, dinosaurs, buffaloes.\nEveryone has a different name: Mohsen, Alex, Jones, Drew, Michelle, Yair, Trinity.\nEveryone likes a different type of flower: tulips, orchids, lilies, daisies, begonias, daffodils, roses.\nEveryone has a different favorite hobby: crocheting, kite flying, biking, drone flying, cooking, archery, language learning.\nEveryone likes a different physical activity: snorkeling, biking, swimming, base jumping, weight lifting, scuba diving, bungee jumping.\nEveryone likes a different fruit: oranges, raspberries, mangoes, blackberries, apples, grapes, bananas.\nEveryone supports a different NBA team: Knicks, Mavericks, Bucks, Bulls, Celtics, Warriors, Cavaliers.\nEveryone drives a different car: Lexus, Ferrari, BMW, Kia, McLaren, Ford, Mercedes.\nEveryone drives a different motorbike: Buell, Harley-Davidson, Piaggio, Bajaj, Yamaha, Benelli, Ducati.\nEveryone smokes a different cigarette: Blends, Davidoff, Dunhill, Salem, Blue Master, Winston, Marlboro.\nEveryone drinks a different drink: orange juice, hot chocolate, milk, coffee, water, iced tea, beer.\nEveryone plays a different sport: ice hockey, tennis, table tennis, baseball, cricket, badminton, soccer.\nEveryone has a different profession: teacher, chef, actor, engineer, artist, dancer, designer.\nEveryone plays a different musical instrument: cello, drums, oboe, violin, saxophone, harmonica, guitar.\nEveryone owns a different handbag brand: Michael Kors, Versace, Polo Ralph Lauren, Coach, Balenciaga, Kate Spade, Tory Burch.\nEveryone is a different nationality: Swiss, Irish, Mexican, Dane, Italian, Croatian, Turkish.\nEveryone reads a different genre of books: romance, short story, history, science fiction, magical realism, humor, spiritual.\nEveryone likes a different type of gemstone: Sapphires, Opals, Corals, Pearls, Emeralds, Obsidians, Rubies.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes scuba diving is somewhere in between the person who likes grizzly bears and the person who likes Sapphires in that order.\nClue 2: The person who smokes Salem is the person who supports the Bulls.\nClue 3: The tennis player is at one of the ends.\nClue 4: The person who likes roses is somewhere to the left of the tennis player.\nClue 5: The person who likes cougars is not the violin player.\nClue 6: The harmonica player is somewhere to the left of the chef.\nClue 7: The drums player is at one of the ends.\nClue 8: The chef is at one of the ends.\nClue 9: The person who likes archery is somewhere to the left of the person who likes Emeralds.\nClue 10: The person who likes bungee jumping is not the person who eats bananas.\nClue 11: The person who eats raspberries is somewhere in between the person who drives the Ferrari and the person who owns a Kate Spade in that order.\nClue 12: The person who likes daisies is not the person who eats apples.\nClue 13: The person who likes swimming is the person who likes panthers.\nClue 14: The person who likes daisies is not the cricket player.\nClue 15: The person who drinks water is the person at the 2nd position.\nClue 16: The Irish is somewhere to the left of the person who reads spiritual books.\nClue 17: The person who likes Corals is somewhere to the left of the person who drives the Lexus.\nClue 18: The person who owns a Coach is somewhere to the left of the soccer player.\nClue 19: The person who owns a Kate Spade is at one of the ends.\nClue 20: The cricket player is the person who likes roses.\nClue 21: The person who likes buffaloes is somewhere in between the person who drives the Ferrari and the tennis player in that order.\nClue 22: The person who likes bungee jumping is somewhere in between the person who likes biking and the person who likes swimming in that order.\nClue 23: The person who likes Pearls is the person who likes roses.\nClue 24: The harmonica player is somewhere in between the person who owns a Polo Ralph Lauren and the person who drives the Lexus in that order.\nClue 25: The person who supports the Warriors is immediately to the left of the person who supports the Celtics.\nClue 26: The person who owns a Coach is immediately to the left of the person who eats bananas.\nClue 27: The person who likes snorkeling is the actor.\nClue 28: The person who supports the Bulls is next to Yair.\nClue 29: The person who reads magical realism books is next to Trinity.\nClue 30: The designer is not the person who drives the Ford.\nClue 31: The engineer is somewhere in between the soccer player and the person who likes Emeralds in that order.\nClue 32: The person who likes amberjacks is not the chef.\nClue 33: The person who drives the Lexus is at one of the ends.\nClue 34: The person who likes cooking is the actor.\nClue 35: The person who owns a Coach is immediately to the left of the person who likes archery.\nClue 36: The person at the 1st position is immediately to the left of the person who drives the Yamaha.\nClue 37: The person who drives the Piaggio is at one of the ends.\nClue 38: The person who reads humor books is the person who smokes Marlboro.\nClue 39: The person who drinks milk is at one of the ends.\nClue 40: The person who drives the BMW is somewhere in between the person who likes daisies and the person who likes swimming in that order.\nClue 41: The Croatian is somewhere to the left of the person who supports the Celtics.\nClue 42: The person who likes Pearls is the cricket player.\nClue 43: The engineer is not the drums player.\nClue 44: The person who smokes Blends is immediately to the left of the person who drives the Benelli.\nClue 45: The person who owns a Michael Kors is not the person who eats apples.\nClue 46: The person who likes Obsidians is the person who owns a Balenciaga.\nClue 47: The designer is somewhere to the left of the person who eats blackberries.\nClue 48: The person who likes swimming is at one of the ends.\nClue 49: The person who reads humor books is the Italian.\nClue 50: The Turkish is immediately to the left of the person who reads short story books.\nClue 51: The person who likes drone flying is somewhere in between the oboe player and the chef in that order.\nClue 52: The person who likes panthers is at one of the ends.\nClue 53: The person who smokes Davidoff is immediately to the left of the Irish.\nClue 54: The person who drinks hot chocolate is the Irish.\nClue 55: The soccer player is next to the ice hockey player.\nClue 56: The person who likes archery is next to the person who likes Corals.\nClue 57: The person who eats oranges is somewhere in between the cello player and the person who likes drone flying in that order.\nClue 58: The person who owns a Polo Ralph Lauren is next to the person who likes amberjacks.\nClue 59: The person who likes kite flying is at one of the ends.\nClue 60: The person who likes buffaloes is somewhere in between the oboe player and the person who likes swimming in that order.\nClue 61: The person who drives the Yamaha is next to the person who drives the Ducati.\nClue 62: The person who likes scuba diving is immediately to the left of the person who owns a Tory Burch.\nClue 63: Michelle is next to the person at the 5th position.\nClue 64: The person who likes base jumping is somewhere in between the person who likes dinosaurs and the person who likes panthers in that order.\nClue 65: The person who owns a Michael Kors is not the dancer.\nClue 66: The badminton player is the person who likes lilies.\nClue 67: The person who likes daffodils is not the person who drives the Lexus.\nClue 68: The person who eats oranges is not the person who likes grizzly bears.\nClue 69: The person who likes cougars is next to the cello player.\nClue 70: The person who eats raspberries is the harmonica player.\nClue 71: The person who eats raspberries is somewhere in between the person who eats oranges and the person who likes kite flying in that order.\nClue 72: The person who supports the Knicks is the person who drinks milk.\nClue 73: The person who smokes Marlboro is at one of the ends.\nClue 74: The person who reads history books is somewhere to the left of the Swiss.\nClue 75: The person who supports the Mavericks is somewhere in between the person who drives the Piaggio and the person who smokes Winston in that order.\nClue 76: The person who likes Emeralds is not the person who likes grizzly bears.\nClue 77: The person who eats oranges is next to the person who likes begonias.\nClue 78: The person who supports the Bucks is immediately to the left of the person who smokes Salem.\nClue 79: The dancer is not the person who likes roses.\nClue 80: The person who likes swimming is at one of the ends.\nClue 81: The person who drives the Ducati is immediately to the left of the person who drives the Harley-Davidson.\nClue 82: The person who likes swimming is at one of the ends.\nClue 83: The tennis player is the person who likes panthers.\nClue 84: The person who likes Pearls is not the badminton player.\nClue 85: The saxophone player is at one of the ends.\nClue 86: The person who eats bananas is not the person who drives the Ferrari.\nClue 87: The person who likes swimming is at one of the ends.\nClue 88: The person who owns a Tory Burch is somewhere in between the person who owns a Versace and the person who drives the BMW in that order.\nClue 89: The person who smokes Blends is the Dane.\nClue 90: The person who reads history books is somewhere in between the person who drinks beer and the person who smokes Blue Master in that order.\nClue 91: The person who supports the Mavericks is the Croatian.\nClue 92: The violin player is the person who likes daffodils.\nClue 93: The person at the 2nd position is next to the person who drinks iced tea.\nClue 94: The person who drinks orange juice is somewhere in between the person who drinks water and Yair in that order.\nClue 95: The person who eats oranges is somewhere in between the cello player and the person who drives the BMW in that order.\nClue 96: The artist is the person who likes language learning.\nClue 97: The person who likes lilies is somewhere to the left of the person who likes buffaloes.\nClue 98: The person who likes tulips is not the saxophone player.\nClue 99: The person who likes Emeralds is not the person who drives the Lexus.\nClue 100: The person who likes Sapphires is not the teacher.\nClue 101: Alex is the person who supports the Bulls.\nClue 102: The person who likes cougars is somewhere in between the person who likes amberjacks and the person who likes begonias in that order.\nClue 103: Drew is at one of the ends.\nClue 104: The person who eats bananas is next to the person who likes snorkeling.\nClue 105: The person who likes dinosaurs is not the person who drives the McLaren.\nClue 106: The soccer player is somewhere in between the person who likes archery and the person who likes base jumping in that order.\nClue 107: The person who drives the Bajaj is the person who drinks coffee.\nClue 108: The person who owns a Coach is at one of the ends.\nClue 109: The guitar player is not the baseball player.\nClue 110: The person who drives the Mercedes is immediately to the left of the person who likes dinosaurs.\nClue 111: The person who likes cooking is at one of the ends.\nClue 112: The tennis player is next to the person who owns a Balenciaga.\nClue 113: The person who smokes Salem is immediately to the left of Mohsen.\nClue 114: The person who smokes Salem is the person who drinks coffee.\nClue 115: The person who owns a Polo Ralph Lauren is the person who likes language learning.\nClue 116: The drums player is somewhere to the left of the person who likes swimming.\nClue 117: The person who likes swimming is the person who likes kite flying.\nClue 118: The person who owns a Versace is the person who likes dinosaurs.\nClue 119: The person who eats apples is at one of the ends.\nClue 120: The person who likes Pearls is the cricket player.\nClue 121: The person who reads history books is the person who smokes Salem.\nClue 122: Trinity is not the Croatian.\nClue 123: The ice hockey player is next to the person who eats oranges.\nClue 124: The person who drinks hot chocolate is somewhere to the left of the person who drinks milk.\nClue 125: The person who reads romance books is somewhere to the left of the person who supports the Celtics.\nClue 126: The person who smokes Davidoff is immediately to the left of the person who smokes Dunhill.\nClue 127: The table tennis player is immediately to the left of the person who owns a Kate Spade.\nClue 128: The oboe player is the person who drives the Kia.\nClue 129: The person who likes snorkeling is somewhere to the left of the person who drives the Kia.\nClue 130: The person who reads romance books is next to the person who reads spiritual books.\nClue 131: The person who likes Pearls is the person who eats apples.\nClue 132: The baseball player is not the person who likes bungee jumping.\nClue 133: The person who eats oranges is somewhere in between the person who eats grapes and the person who likes drone flying in that order.\nClue 134: The oboe player is the person who drives the Kia.\nClue 135: Mohsen is at one of the ends.\nClue 136: The person who likes panthers is the person who eats mangoes.\nClue 137: The person who likes tulips is next to the cello player.\nClue 138: The person who likes weight lifting is immediately to the left of the person who likes panthers.\nClue 139: The person who supports the Cavaliers is at one of the ends.\nClue 140: The person who eats oranges is not the violin player.\nClue 141: The violin player is next to the person who likes kangaroos.\nClue 142: The person who drives the Kia is somewhere in between the ice hockey player and the person who drives the Lexus in that order.\n\nQuestion: What position is the person who reads history books at?",
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    "id": "bbeh:zebra_puzzles:130",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone smokes a different cigarette: Salem, Blue Master, Marlboro, Newport, Camel, Pall Mall, Dunhill.\nEveryone has a different profession: singer, doctor, architect, dancer, writer, programmer, chef.\nEveryone likes a different type of flower: peonies, dahlias, begonias, daisies, tulips, lilies, marigolds.\nEveryone likes a different fruit: mangoes, grapes, raspberries, strawberries, bananas, kiwis, blackberries.\nEveryone lives in a different colored house: gold, pink, brown, silver, cyan, violet, white.\nEveryone likes a different type of gemstone: Jade, Rubies, Opals, Gypsum, Emeralds, Moonstones, Ambers.\nEveryone owns a different handbag brand: Tumi, Polo Ralph Lauren, Michael Kors, Versace, Coach, Dolce and Gabbana, Kate Spade.\nEveryone is a different nationality: Chilean, Spanish, Croatian, Portuguese, Turkish, Bangladeshi, American.\nEveryone plays a different sport: tennis, cricket, soccer, volleyball, ice hockey, baseball, badminton.\nEveryone plays a different musical instrument: flute, guitar, harmonica, drums, piano, saxophone, cello.\nEveryone drives a different car: Ford, Mercedes, Audi, Ferrari, Hyundai, Toyota, BMW.\nEveryone has a different favorite hobby: horse riding, canoeing, parkour, kite flying, welding, mixology, wood carving.\nEveryone likes a different favorite animal: grasshoppers, bees, caterpillars, crickets, eels, lions, panda bears.\nEveryone drives a different motorbike: Honda, Bajaj, Yamaha, Buell, Benelli, Kawasaki, Piaggio.\nEveryone drinks a different drink: hot chocolate, water, iced coffee, iced tea, orange juice, lemonade, beer.\nEveryone supports a different NFL team: Miami Dolphins, San Francisco 49ers, Atlanta Falcons, Denver Broncos, Los Angeles Rams, Baltimore Ravens, Philadelphia Eagles.\nEveryone has a different name: Rose, Rajiv, Mohan, Charlie, Alex, Joseph, Michael.\nEveryone likes a different physical activity: snorkeling, skiing, swimming, biking, running, hiking, paragliding.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The Bangladeshi is somewhere in between the person who likes peonies and the person who drives the Audi in that order.\nClue 2: The person who eats raspberries is next to the person who likes Emeralds.\nClue 3: The person who likes grasshoppers is immediately to the left of the person who likes panda bears.\nClue 4: The Spanish is immediately to the left of the baseball player.\nClue 5: The person who likes horse riding is the person who drives the BMW.\nClue 6: The ice hockey player is somewhere in between the person who likes peonies and the person who likes lilies in that order.\nClue 7: The person who likes peonies is not the person who drinks lemonade.\nClue 8: The person who likes peonies is next to the person who owns a Kate Spade.\nClue 9: The person who drives the Benelli is the person who lives in the pink house.\nClue 10: The person who likes peonies is somewhere in between the soccer player and the person who drinks orange juice in that order.\nClue 11: The person who supports the Miami Dolphins is next to the person who supports the Baltimore Ravens.\nClue 12: The person who drinks beer is the badminton player.\nClue 13: The person who likes Gypsum is the person who likes paragliding.\nClue 14: The person who drinks iced coffee is somewhere in between the tennis player and the person who drives the Piaggio in that order.\nClue 15: The person who lives in the silver house is not the person who drives the Honda.\nClue 16: The person who likes Gypsum is immediately to the left of the guitar player.\nClue 17: The person who lives in the cyan house is somewhere to the left of the person who likes bees.\nClue 18: The person who drives the Toyota is not the person who lives in the violet house.\nClue 19: The person who drives the Buell is the person who owns a Kate Spade.\nClue 20: The flute player is the person who likes Rubies.\nClue 21: The person who supports the Baltimore Ravens is immediately to the left of the person who likes skiing.\nClue 22: The person who drives the Benelli is the person who lives in the pink house.\nClue 23: Rose is next to the person who drinks hot chocolate.\nClue 24: Michael is at one of the ends.\nClue 25: The person who likes canoeing is next to the person who owns a Polo Ralph Lauren.\nClue 26: The person who eats blackberries is immediately to the left of the person who supports the Denver Broncos.\nClue 27: The person who smokes Camel is next to the architect.\nClue 28: The person who supports the Philadelphia Eagles is the doctor.\nClue 29: Joseph is not the Portuguese.\nClue 30: The writer is at one of the ends.\nClue 31: The person who supports the Atlanta Falcons is at one of the ends.\nClue 32: The person at the 3rd position is immediately to the left of the cello player.\nClue 33: The person who likes Gypsum is at one of the ends.\nClue 34: The person who lives in the white house is immediately to the left of the soccer player.\nClue 35: The person who drives the Ford is somewhere in between the person who lives in the silver house and Mohan in that order.\nClue 36: The person who likes running is the dancer.\nClue 37: The tennis player is immediately to the left of Rajiv.\nClue 38: The person who owns a Tumi is the American.\nClue 39: The person who likes caterpillars is at one of the ends.\nClue 40: The person who drives the Piaggio is next to the person who lives in the pink house.\nClue 41: The baseball player is the Chilean.\nClue 42: The person who drives the Benelli is immediately to the left of the person who drives the Piaggio.\nClue 43: The person who drives the Bajaj is not Joseph.\nClue 44: The ice hockey player is somewhere in between the volleyball player and the Turkish in that order.\nClue 45: The person who likes lilies is not the person who drives the Yamaha.\nClue 46: The person who likes marigolds is not the person who drinks hot chocolate.\nClue 47: The person who drives the Ford is somewhere in between the person who likes marigolds and the person who lives in the violet house in that order.\nClue 48: The person who owns a Michael Kors is somewhere to the left of the person who drives the Piaggio.\nClue 49: The person who eats blackberries is the guitar player.\nClue 50: The person who likes peonies is somewhere in between the badminton player and the person who drinks orange juice in that order.\nClue 51: The person who likes crickets is somewhere in between the person who likes begonias and Mohan in that order.\nClue 52: The person who drives the Buell is not the person who likes welding.\nClue 53: The person who smokes Marlboro is the singer.\nClue 54: The person who smokes Pall Mall is the person who likes swimming.\nClue 55: The person who likes peonies is immediately to the left of the person who likes horse riding.\nClue 56: The person who lives in the cyan house is somewhere to the left of the person who likes dahlias.\nClue 57: Joseph is not the baseball player.\nClue 58: The person who likes swimming is the person who eats raspberries.\nClue 59: The Portuguese is somewhere to the left of the person who drives the Mercedes.\nClue 60: The person who likes lions is the person who drinks water.\nClue 61: The person who likes horse riding is somewhere in between the badminton player and the cricket player in that order.\nClue 62: The Spanish is somewhere in between the person who lives in the brown house and the person who likes panda bears in that order.\nClue 63: The person who owns a Polo Ralph Lauren is immediately to the left of the person who owns a Kate Spade.\nClue 64: The person who likes parkour is not the person who drinks water.\nClue 65: The person who drives the Kawasaki is the person who likes tulips.\nClue 66: The person who drinks hot chocolate is next to the person who likes mixology.\nClue 67: The soccer player is somewhere in between the person who likes canoeing and the volleyball player in that order.\nClue 68: The person who likes canoeing is the American.\nClue 69: The person who owns a Kate Spade is immediately to the left of the person who drives the Ford.\nClue 70: The person who likes daisies is immediately to the left of the person who owns a Michael Kors.\nClue 71: The volleyball player is immediately to the left of the person who owns a Michael Kors.\nClue 72: The soccer player is immediately to the left of the person who likes grasshoppers.\nClue 73: The person who likes parkour is not the person who drives the Piaggio.\nClue 74: The person who drives the Ferrari is not the soccer player.\nClue 75: The person who likes caterpillars is next to the person who owns a Michael Kors.\nClue 76: The Chilean is immediately to the left of the person who drives the Honda.\nClue 77: The flute player is somewhere in between the person who likes Ambers and the person who likes Moonstones in that order.\nClue 78: The person who likes running is immediately to the left of the person who likes Jade.\nClue 79: The volleyball player is the person who drives the Honda.\nClue 80: The person who drives the Yamaha is not the Turkish.\nClue 81: The flute player is the person who eats bananas.\nClue 82: The doctor is the saxophone player.\nClue 83: The person who owns a Polo Ralph Lauren is next to the person who owns a Tumi.\nClue 84: The person who lives in the gold house is the person who likes caterpillars.\nClue 85: The baseball player is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 86: The architect is next to the person who likes Opals.\nClue 87: The person who likes grasshoppers is next to Rajiv.\nClue 88: Rajiv is immediately to the left of the person who likes marigolds.\nClue 89: The person who likes panda bears is not the Bangladeshi.\nClue 90: The person who drives the Buell is somewhere in between the person who likes kite flying and the person who drives the BMW in that order.\nClue 91: Mohan is not the person who likes wood carving.\nClue 92: The volleyball player is the person who lives in the violet house.\nClue 93: The person who drives the Benelli is next to the person who drinks orange juice.\nClue 94: The person who drinks beer is next to the person who drives the Bajaj.\nClue 95: The person who likes hiking is the person who likes Emeralds.\nClue 96: The person who likes paragliding is the piano player.\nClue 97: The Croatian is immediately to the left of the person who lives in the gold house.\nClue 98: The tennis player is the American.\nClue 99: The person who likes swimming is the doctor.\nClue 100: The person who likes peonies is not the person who owns a Polo Ralph Lauren.\nClue 101: The person at the 6th position is somewhere to the left of the person who smokes Marlboro.\nClue 102: Alex is somewhere to the left of the person who drives the Piaggio.\nClue 103: The person who owns a Tumi is the person who drives the Ferrari.\nClue 104: The person who drives the Kawasaki is not the Croatian.\nClue 105: The person who likes Gypsum is next to the dancer.\nClue 106: The person who drinks water is immediately to the left of the Portuguese.\nClue 107: The person who drinks hot chocolate is at one of the ends.\nClue 108: The person who lives in the pink house is somewhere to the left of the person who drives the Audi.\nClue 109: The person who likes panda bears is immediately to the left of the person who drives the Honda.\nClue 110: The person who owns a Versace is not Joseph.\nClue 111: The person who likes snorkeling is somewhere in between the person who likes Gypsum and the person who smokes Salem in that order.\nClue 112: The person who likes canoeing is at one of the ends.\nClue 113: The person who likes Opals is the person who eats mangoes.\nClue 114: The Croatian is somewhere in between the person who drives the Honda and the person who drives the Audi in that order.\nClue 115: The person who lives in the violet house is somewhere to the left of the person who drives the Benelli.\nClue 116: The person who supports the Atlanta Falcons is next to the person who likes swimming.\nClue 117: The architect is somewhere in between the person who likes Jade and the person who eats kiwis in that order.\nClue 118: The person who supports the Los Angeles Rams is the flute player.\nClue 119: The person who drives the Piaggio is at one of the ends.\nClue 120: The person who drinks water is somewhere to the left of the person who likes caterpillars.\nClue 121: The person who smokes Blue Master is at one of the ends.\nClue 122: The person who drives the Yamaha is at one of the ends.\nClue 123: The cricket player is at one of the ends.\nClue 124: The person who drinks iced coffee is somewhere in between the person who drives the Ferrari and the person who drives the Ford in that order.\nClue 125: The cricket player is the person who lives in the gold house.\nClue 126: The person who drives the Audi is at one of the ends.\nClue 127: The person who likes panda bears is not the person who likes tulips.\nClue 128: The harmonica player is at one of the ends.\nClue 129: The American is immediately to the left of the person who drives the Kawasaki.\nClue 130: Rajiv is somewhere in between the tennis player and the person who likes panda bears in that order.\nClue 131: The person who drives the Bajaj is somewhere in between the person who drives the Buell and the person who drinks hot chocolate in that order.\nClue 132: The person who eats grapes is at one of the ends.\nClue 133: The Chilean is somewhere to the left of Charlie.\nClue 134: The person who likes Opals is somewhere in between the person at the 2nd position and the harmonica player in that order.\nClue 135: The programmer is the person who likes Jade.\nClue 136: Rose is somewhere in between the person who owns a Dolce and Gabbana and the person who lives in the gold house in that order.\nClue 137: The person who smokes Newport is immediately to the left of the person who smokes Camel.\nClue 138: The person who likes marigolds is somewhere to the left of the person who drinks hot chocolate.\nClue 139: The person who lives in the violet house is the person who likes horse riding.\n\nQuestion: What position is the person who smokes Marlboro at?",
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    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different food: tacos, sandwiches, pizza, burgers, noodles, curry, kebabs.\nEveryone has a different favorite soft drink: Gatorade, Coke, Powerade, Pepsi, Mirinda, Fanta, Canada Dry.\nEveryone likes a different type of flower: lilies, orchids, daffodils, carnations, tulips, dahlias, begonias.\nEveryone likes a different favorite animal: ants, starlings, owls, monkeys, sun bears, halibut, jellyfish.\nEveryone likes a different physical activity: swimming, running, hiking, snorkeling, scuba diving, paragliding, bungee jumping.\nEveryone has a different name: Mandy, Siva, Katherine, Joseph, Tao, Bob, Mohsen.\nEveryone reads a different genre of books: magical realism, history, mystery, science fiction, spiritual, short story, fantasy.\nEveryone has a different favorite hobby: juggling, biking, painting, camping, gardening, mixology, parkour.\nEveryone drinks a different drink: iced coffee, coffee, iced tea, milk, orange juice, hot chocolate, beer.\nEveryone likes a different fruit: apples, blackberries, bananas, blueberries, mangoes, pears, oranges.\nEveryone smokes a different cigarette: Camel, Davidoff, Blue Master, Winston, Pall Mall, Blends, Salem.\nEveryone drives a different car: BMW, Honda, Audi, Toyota, McLaren, Kia, Mercedes.\nEveryone has a different profession: doctor, designer, architect, writer, spy, chef, athlete.\nEveryone plays a different musical instrument: drums, cello, harp, violin, guitar, saxophone, harmonica.\nEveryone supports a different NFL team: Los Angeles Rams, New England Patriots, Miami Dolphins, Seattle Seahawks, Baltimore Ravens, Tennessee Titans, Buffalo Bills.\nEveryone likes a different type of gemstone: Ambers, Sapphires, Dolomites, Diamonds, Opals, Aquamarines, Pearls.\nEveryone supports a different NBA team: Bucks, Warriors, Celtics, Bulls, Cavaliers, Mavericks, Suns.\nEveryone owns a different handbag brand: Michael Kors, Dolce and Gabbana, Tumi, Polo Ralph Lauren, Coach, Tory Burch, Kate Spade.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drinks beer is somewhere to the left of the person who likes monkeys.\nClue 2: The person who eats blueberries is somewhere in between the person who likes Fanta and the person who supports the Warriors in that order.\nClue 3: The person who likes noodles is the person who drinks beer.\nClue 4: The person who likes juggling is somewhere in between the person who drinks beer and the person who likes Mirinda in that order.\nClue 5: The person who supports the Celtics is not the person who eats bananas.\nClue 6: The person who drinks iced tea is the person who supports the Cavaliers.\nClue 7: The person who likes Mirinda is at one of the ends.\nClue 8: The person who likes painting is next to the person who likes kebabs.\nClue 9: The person who reads fantasy books is at one of the ends.\nClue 10: The person who supports the Bucks is the person who likes mixology.\nClue 11: The person who eats blueberries is somewhere to the left of the person who smokes Salem.\nClue 12: The person who likes noodles is not the person who reads spiritual books.\nClue 13: The person who supports the Bulls is somewhere in between the person who smokes Blends and the person who smokes Camel in that order.\nClue 14: The harp player is somewhere in between the person who smokes Winston and Tao in that order.\nClue 15: The person who likes ants is somewhere to the left of the cello player.\nClue 16: The saxophone player is not the person who smokes Camel.\nClue 17: Siva is not the saxophone player.\nClue 18: The person who likes lilies is somewhere to the left of the person who likes Diamonds.\nClue 19: The person who likes noodles is not the person who likes Pepsi.\nClue 20: The person who likes biking is somewhere to the left of the cello player.\nClue 21: The person who likes running is immediately to the left of the athlete.\nClue 22: Mohsen is not the person who supports the Cavaliers.\nClue 23: The person who likes juggling is the person who likes sandwiches.\nClue 24: The person who supports the Baltimore Ravens is immediately to the left of the person who owns a Tory Burch.\nClue 25: The person who likes parkour is immediately to the left of the guitar player.\nClue 26: The person who likes Coke is somewhere in between the person who drinks beer and the person who supports the Cavaliers in that order.\nClue 27: The person who likes ants is immediately to the left of the person who likes mixology.\nClue 28: The person who supports the Tennessee Titans is next to the person who likes bungee jumping.\nClue 29: The person who drinks iced coffee is the person who smokes Pall Mall.\nClue 30: The person who likes dahlias is somewhere to the left of the spy.\nClue 31: The person who eats blueberries is not the person who likes monkeys.\nClue 32: The person who reads history books is immediately to the left of the person who supports the Bulls.\nClue 33: The person who owns a Tory Burch is the person who likes begonias.\nClue 34: The person who reads science fiction books is somewhere to the left of the person who supports the Warriors.\nClue 35: The person who likes hiking is somewhere to the left of the person who drives the Honda.\nClue 36: The saxophone player is next to the person who reads mystery books.\nClue 37: The person who likes Aquamarines is at one of the ends.\nClue 38: The person who likes painting is the person who likes owls.\nClue 39: The person who smokes Pall Mall is at one of the ends.\nClue 40: The saxophone player is not the person who likes sun bears.\nClue 41: The saxophone player is somewhere to the left of the person who likes Powerade.\nClue 42: Tao is not the cello player.\nClue 43: The writer is the person who likes swimming.\nClue 44: The person who likes owls is the person who likes painting.\nClue 45: The person who smokes Pall Mall is the person who reads science fiction books.\nClue 46: Katherine is the person who smokes Pall Mall.\nClue 47: The person who likes tulips is next to the chef.\nClue 48: The person who drinks beer is the person who likes painting.\nClue 49: The person who likes Pepsi is somewhere to the left of the person who drinks iced tea.\nClue 50: The person who owns a Tumi is somewhere in between the person who drives the Toyota and the person who likes swimming in that order.\nClue 51: The harmonica player is immediately to the left of the person who eats oranges.\nClue 52: The person who likes carnations is somewhere in between the person who likes tulips and the person who supports the Los Angeles Rams in that order.\nClue 53: The person who supports the Seattle Seahawks is the person who owns a Coach.\nClue 54: The person who drinks orange juice is next to the person who likes starlings.\nClue 55: The person who likes starlings is somewhere to the left of the person who supports the Mavericks.\nClue 56: The person who likes snorkeling is at one of the ends.\nClue 57: The person who drives the McLaren is the person who owns a Kate Spade.\nClue 58: Tao is immediately to the left of the person who reads mystery books.\nClue 59: The person who drinks beer is the person who smokes Davidoff.\nClue 60: The person who supports the Cavaliers is at one of the ends.\nClue 61: The person who owns a Dolce and Gabbana is somewhere in between the person who likes dahlias and the person who supports the New England Patriots in that order.\nClue 62: The violin player is the person who likes tacos.\nClue 63: The person who owns a Michael Kors is next to the person who owns a Kate Spade.\nClue 64: Tao is not the person who drinks beer.\nClue 65: The person who supports the Bulls is immediately to the left of the person who likes monkeys.\nClue 66: The person who smokes Blends is immediately to the left of the person who supports the Bulls.\nClue 67: The person who drinks iced coffee is somewhere to the left of the person who reads magical realism books.\nClue 68: The person who likes sandwiches is next to the person who supports the Bulls.\nClue 69: The person who likes monkeys is somewhere in between the person who smokes Davidoff and the person who likes burgers in that order.\nClue 70: The spy is at one of the ends.\nClue 71: The person who smokes Winston is next to the person who reads spiritual books.\nClue 72: The person who likes Aquamarines is the person who drives the Kia.\nClue 73: The person who likes jellyfish is somewhere in between the person who likes ants and the person who likes burgers in that order.\nClue 74: The person at the 4th position is immediately to the left of the person who supports the Los Angeles Rams.\nClue 75: The person who likes starlings is Joseph.\nClue 76: The person who reads science fiction books is at one of the ends.\nClue 77: The person who likes orchids is at one of the ends.\nClue 78: The person who supports the Mavericks is not Siva.\nClue 79: The person who likes jellyfish is next to the person who supports the Bulls.\nClue 80: The person who supports the Seattle Seahawks is next to the chef.\nClue 81: The person who eats blackberries is immediately to the left of the person who supports the Suns.\nClue 82: The harp player is somewhere in between the violin player and the person who reads mystery books in that order.\nClue 83: The person who smokes Camel is the person who likes monkeys.\nClue 84: The person who likes painting is somewhere in between the person who eats mangoes and the person who likes Mirinda in that order.\nClue 85: The person who eats blueberries is not the person who smokes Winston.\nClue 86: The person who likes monkeys is somewhere in between the person who likes painting and Siva in that order.\nClue 87: The person who likes burgers is next to the person who likes sandwiches.\nClue 88: The person who drinks iced tea is at one of the ends.\nClue 89: The person who owns a Tumi is immediately to the left of the person who supports the Baltimore Ravens.\nClue 90: The person who likes monkeys is somewhere in between the person who likes painting and the drums player in that order.\nClue 91: The person who supports the Los Angeles Rams is the person who likes Pearls.\nClue 92: The architect is somewhere in between the person at the 3rd position and the person who likes Ambers in that order.\nClue 93: The person who likes painting is the person who drinks beer.\nClue 94: The person who likes biking is not the person who supports the Mavericks.\nClue 95: The person who likes Dolomites is the person who likes paragliding.\nClue 96: The violin player is at one of the ends.\nClue 97: The person at the 3rd position is the person who drives the Honda.\nClue 98: The person who eats bananas is somewhere to the left of the person who reads magical realism books.\nClue 99: The person who likes parkour is at one of the ends.\nClue 100: The person who likes jellyfish is not the person who smokes Blue Master.\nClue 101: The person who likes gardening is next to the person who supports the Bucks.\nClue 102: Bob is not the person who eats blueberries.\nClue 103: The person who supports the Baltimore Ravens is somewhere in between the person who likes Pearls and the person who owns a Tory Burch in that order.\nClue 104: The person who drinks coffee is somewhere in between the person who smokes Blue Master and the person who likes noodles in that order.\nClue 105: The person who reads science fiction books is at one of the ends.\nClue 106: Joseph is somewhere in between Katherine and the person who likes gardening in that order.\nClue 107: The person who eats blueberries is somewhere in between the person who reads spiritual books and Siva in that order.\nClue 108: The person who likes Aquamarines is the doctor.\nClue 109: The doctor is immediately to the left of the person who likes daffodils.\nClue 110: The architect is next to the person who likes dahlias.\nClue 111: The person who likes juggling is somewhere to the left of the drums player.\nClue 112: The person who likes Pepsi is not the person who likes tacos.\nClue 113: The person who supports the Bulls is the person who likes noodles.\nClue 114: The person who eats mangoes is immediately to the left of the person who eats blueberries.\nClue 115: The person who supports the New England Patriots is the person who likes snorkeling.\nClue 116: The person who likes painting is immediately to the left of the person who likes juggling.\nClue 117: The person who likes biking is somewhere in between the harp player and the person who likes Mirinda in that order.\nClue 118: The person who likes Pepsi is somewhere in between Katherine and the harp player in that order.\nClue 119: The person who likes starlings is the person who drinks hot chocolate.\nClue 120: The person who supports the Suns is next to Mohsen.\nClue 121: The person who supports the Cavaliers is at one of the ends.\nClue 122: The person who supports the Bulls is not the person who likes camping.\nClue 123: The person who drives the Mercedes is immediately to the left of the person who likes snorkeling.\nClue 124: The person who likes jellyfish is somewhere in between the person who likes sun bears and the person who eats oranges in that order.\nClue 125: The person who drives the Kia is next to the person who likes Dolomites.\nClue 126: The person who drives the Honda is not the person who supports the Miami Dolphins.\nClue 127: The person who likes sun bears is the person who likes Canada Dry.\nClue 128: The person who supports the Suns is somewhere to the left of the cello player.\nClue 129: The person who reads science fiction books is at one of the ends.\nClue 130: The person who likes Fanta is somewhere in between the harp player and the person who smokes Davidoff in that order.\nClue 131: The person who likes Canada Dry is immediately to the left of the person who likes kebabs.\nClue 132: The person who likes parkour is not the person who likes Fanta.\nClue 133: The harmonica player is somewhere to the left of the person who eats oranges.\nClue 134: The person who eats apples is somewhere to the left of Siva.\nClue 135: The person who drives the BMW is the spy.\nClue 136: The person who likes scuba diving is somewhere in between the person who supports the Seattle Seahawks and the person who drives the McLaren in that order.\nClue 137: The person who likes parkour is at one of the ends.\nClue 138: The person who drives the McLaren is immediately to the left of the person who drives the Audi.\nClue 139: The person who likes carnations is the person who likes Sapphires.\n\nQuestion: What position is the person who likes paragliding at?",
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    "id": "bbeh:zebra_puzzles:132",
    "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone supports a different NFL team: Pittsburgh Steelers, Atlanta Falcons, San Francisco 49ers, Green Bay Packers, Miami Dolphins.\nEveryone likes a different favorite animal: crabs, rabbits, eagles, grasshoppers, canaries.\nEveryone has a different name: Bob, Ahmed, Michelle, Yair, Ali.\nEveryone has a different favorite hobby: skiing, painting, coin collecting, canoeing, archery.\nEveryone likes a different type of gemstone: Emeralds, Opals, Aquamarines, Pearls, Gypsum.\nEveryone likes a different physical activity: skiing, scuba diving, swimming, paragliding, biking.\nEveryone lives in a different colored house: white, pink, beige, brown, grey.\nEveryone drives a different car: Kia, Honda, McLaren, BMW, Mercedes.\nEveryone has a different profession: artist, doctor, engineer, teacher, athlete.\nEveryone reads a different genre of books: fantasy, magical realism, science fiction, romance, short story.\nEveryone likes a different type of flower: begonias, peonies, daffodils, daisies, carnations.\nEveryone has a different favorite soft drink: Dr Pepper, Canada Dry, Mirinda, 7up, Gatorade.\nEveryone drives a different motorbike: Bajaj, Yamaha, Piaggio, Harley-Davidson, Suzuki.\nEveryone drinks a different drink: coffee, iced coffee, iced tea, lemonade, orange juice.\nEveryone supports a different NBA team: Hawks, Lakers, Cavaliers, Bucks, Suns.\nEveryone owns a different handbag brand: Versace, Michael Kors, Balenciaga, Gucci, Kate Spade.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes painting is not the person who drinks iced coffee.\nClue 2: The person who drives the Suzuki is not the person who reads magical realism books.\nClue 3: The person who supports the San Francisco 49ers is at one of the ends.\nClue 4: The person who likes Aquamarines is next to the person who supports the Miami Dolphins.\nClue 5: The person who likes Dr Pepper is the person who supports the Miami Dolphins.\nClue 6: The person who drinks coffee is next to the person who supports the Lakers.\nClue 7: The person who reads short story books is next to the person who likes swimming.\nClue 8: The person who supports the Pittsburgh Steelers is the person who supports the Hawks.\nClue 9: The person who likes Mirinda is somewhere in between the person who likes Gatorade and the person who reads romance books in that order.\nClue 10: The person who drives the Harley-Davidson is somewhere in between the person who reads science fiction books and the person who supports the Suns in that order.\nClue 11: The person who reads science fiction books is next to the person who lives in the beige house.\nClue 12: The person who likes painting is somewhere to the left of the person who drives the Suzuki.\nClue 13: The person who drinks orange juice is somewhere in between the person who likes Canada Dry and the person who reads magical realism books in that order.\nClue 14: The person who reads magical realism books is not the person who likes coin collecting.\nClue 15: The person who owns a Kate Spade is not the person who lives in the pink house.\nClue 16: The person who likes Mirinda is somewhere to the left of the person who likes Dr Pepper.\nClue 17: The person who likes canoeing is at one of the ends.\nClue 18: The person who likes paragliding is somewhere in between the person who likes Emeralds and the person who drives the Suzuki in that order.\nClue 19: The person who supports the Hawks is not the person who likes 7up.\nClue 20: The person who drives the McLaren is at one of the ends.\nClue 21: Ahmed is next to the person who drives the McLaren.\nClue 22: The person who reads fantasy books is next to the person who likes skiing.\nClue 23: The person who supports the Bucks is not the person who likes canoeing.\nClue 24: The person who reads magical realism books is next to the person who supports the Miami Dolphins.\nClue 25: The person who supports the Lakers is next to the person who supports the Bucks.\nClue 26: The person who reads science fiction books is somewhere to the left of the person who owns a Gucci.\nClue 27: The person who reads magical realism books is immediately to the left of the person who reads romance books.\nClue 28: The person who supports the Green Bay Packers is the person who likes Aquamarines.\nClue 29: The person who drinks orange juice is somewhere in between the person who lives in the beige house and the person who likes paragliding in that order.\nClue 30: The person who supports the Miami Dolphins is next to the person who owns a Gucci.\nClue 31: The person who likes painting is the person who owns a Michael Kors.\nClue 32: The person who supports the Cavaliers is immediately to the left of the person who owns a Kate Spade.\nClue 33: The person who drives the Mercedes is the person who likes begonias.\nClue 34: The person at the 4th position is next to the engineer.\nClue 35: The person who likes skiing is the person who likes paragliding.\nClue 36: The person who owns a Kate Spade is somewhere to the left of the person who likes Aquamarines.\nClue 37: The athlete is immediately to the left of the person who likes crabs.\nClue 38: The person who likes canaries is the person at the 2nd position.\nClue 39: The person who likes paragliding is somewhere in between the person who likes 7up and the person who supports the Miami Dolphins in that order.\nClue 40: Ali is the doctor.\nClue 41: The person who drives the Yamaha is not the person who supports the Lakers.\nClue 42: The person who owns a Balenciaga is at one of the ends.\nClue 43: The teacher is immediately to the left of the person who likes rabbits.\nClue 44: The person who supports the Cavaliers is not the person who owns a Gucci.\nClue 45: The person who owns a Michael Kors is the person who likes Opals.\nClue 46: The person who drives the McLaren is immediately to the left of the person who likes daffodils.\nClue 47: The person who likes canoeing is not the person who supports the Green Bay Packers.\nClue 48: The person who likes painting is somewhere in between the person who likes skiing and the person who likes Mirinda in that order.\nClue 49: Michelle is the person who likes eagles.\nClue 50: The person who likes swimming is next to the person who lives in the beige house.\nClue 51: The person who likes Aquamarines is somewhere in between the person who likes Gatorade and the person who supports the Miami Dolphins in that order.\nClue 52: The person who lives in the grey house is immediately to the left of the person who drinks iced coffee.\nClue 53: The person who supports the Green Bay Packers is the person who likes Aquamarines.\nClue 54: The person who owns a Gucci is next to the person who owns a Michael Kors.\nClue 55: The person who drives the McLaren is the person who likes daisies.\nClue 56: The person who reads fantasy books is at one of the ends.\nClue 57: The person who drives the Suzuki is next to the person who likes Aquamarines.\nClue 58: The person who drives the Kia is the athlete.\nClue 59: The person who lives in the white house is not the person who likes 7up.\nClue 60: The person who reads fantasy books is immediately to the left of the person who owns a Kate Spade.\nClue 61: The person who owns a Versace is somewhere to the left of the person who likes Gypsum.\nClue 62: The person who drinks coffee is at one of the ends.\nClue 63: The person who likes skiing is the person who likes Aquamarines.\nClue 64: The person who drives the Suzuki is the person who likes biking.\nClue 65: The person who owns a Versace is at one of the ends.\nClue 66: The person who supports the Suns is next to the person who likes Mirinda.\nClue 67: Bob is at one of the ends.\nClue 68: The person who likes skiing is the person who supports the Green Bay Packers.\nClue 69: The person who drives the Piaggio is somewhere to the left of the person who drives the Suzuki.\nClue 70: The person who drives the Harley-Davidson is the person who supports the Green Bay Packers.\nClue 71: The person who supports the Hawks is the person who supports the Pittsburgh Steelers.\nClue 72: The person who drinks iced coffee is next to the person who lives in the white house.\nClue 73: The person who drives the Yamaha is not the person who supports the Atlanta Falcons.\nClue 74: The person who drinks lemonade is somewhere to the left of the person who drinks orange juice.\nClue 75: The person who supports the Lakers is somewhere in between the person who likes Opals and the person who likes biking in that order.\nClue 76: The person who likes Mirinda is not the person who supports the Miami Dolphins.\nClue 77: The person who drinks iced coffee is not the person who likes Canada Dry.\nClue 78: The person who likes Emeralds is immediately to the left of the person who likes painting.\nClue 79: The person who likes swimming is somewhere in between the person who drinks lemonade and the person who likes Dr Pepper in that order.\nClue 80: The person who drinks lemonade is not the person who likes Opals.\nClue 81: The person who reads fantasy books is somewhere to the left of the person who drives the Bajaj.\nClue 82: The person who likes skiing is immediately to the left of the person who drinks coffee.\nClue 83: The person who drinks iced coffee is not the person who reads fantasy books.\nClue 84: The person who likes Emeralds is not the person who supports the Atlanta Falcons.\nClue 85: The person who likes peonies is immediately to the left of the person who drives the BMW.\nClue 86: The person who supports the Cavaliers is the person who likes Pearls.\nClue 87: The person who likes Dr Pepper is not the person who supports the Pittsburgh Steelers.\nClue 88: The person who likes scuba diving is the person who likes 7up.\nClue 89: The person who lives in the pink house is somewhere to the left of the person who reads romance books.\nClue 90: The person who reads science fiction books is somewhere to the left of the person who likes skiing.\nClue 91: The person who likes carnations is the person who drives the BMW.\nClue 92: The person who supports the Hawks is the person who likes skiing.\nClue 93: The person who likes carnations is at one of the ends.\nClue 94: The person who likes Emeralds is somewhere to the left of the person who likes swimming.\nClue 95: The person who likes Pearls is at one of the ends.\nClue 96: The person who likes Gatorade is the person who drinks orange juice.\nClue 97: The person who likes biking is next to the person who lives in the pink house.\nClue 98: The person who likes Gatorade is somewhere in between the person who reads short story books and the person who likes Mirinda in that order.\nClue 99: The person who drives the Suzuki is next to the person who supports the Lakers.\nClue 100: The person who likes Dr Pepper is not the person who reads fantasy books.\nClue 101: The person who likes skiing is somewhere in between the person who drives the Piaggio and the person who lives in the white house in that order.\nClue 102: The person who drives the Bajaj is not the person who drinks iced coffee.\nClue 103: The person who likes canaries is somewhere to the left of the person who drives the Honda.\nClue 104: The person who likes skiing is somewhere to the left of the person who drinks coffee.\nClue 105: The person who likes swimming is the person who likes painting.\nClue 106: The person who drinks orange juice is next to the person who drinks iced coffee.\nClue 107: The person who owns a Michael Kors is not the person who supports the Miami Dolphins.\nClue 108: The person who supports the San Francisco 49ers is not the person who likes Opals.\nClue 109: Ali is the person who likes crabs.\nClue 110: The person who likes begonias is next to the teacher.\nClue 111: The person who likes 7up is the person who owns a Versace.\nClue 112: The person who supports the Suns is not the person who likes Aquamarines.\nClue 113: The person who supports the Cavaliers is at one of the ends.\nClue 114: The person who owns a Michael Kors is somewhere in between the person who likes Canada Dry and the person who supports the Green Bay Packers in that order.\nClue 115: The person who likes Mirinda is not the person who reads romance books.\nClue 116: The person who reads magical realism books is somewhere to the left of the person who drinks coffee.\nClue 117: The person who likes Aquamarines is the person who supports the Green Bay Packers.\nClue 118: The person who owns a Gucci is next to the person who reads science fiction books.\nClue 119: The person who likes Emeralds is the person who reads short story books.\nClue 120: The doctor is somewhere to the left of the person who likes grasshoppers.\n\nQuestion: What position is Yair at?",
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    "id": "bbeh:zebra_puzzles:134",
    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone owns a different handbag brand: Michael Kors, Tumi, Balenciaga, Tory Burch, Polo Ralph Lauren, Versace, Dolce and Gabbana.\nEveryone drives a different car: Lexus, Honda, Audi, Toyota, McLaren, Ferrari, BMW.\nEveryone has a different favorite soft drink: Fanta, Canada Dry, Limca, Sprite, Dr Pepper, Gatorade, Powerade.\nEveryone plays a different musical instrument: piano, harp, saxophone, flute, drums, cello, oboe.\nEveryone likes a different favorite animal: cows, sheep, halibut, tilapia, jellyfish, pelikans, wolves.\nEveryone has a different profession: artist, singer, writer, engineer, architect, teacher, dancer.\nEveryone drives a different motorbike: Buell, Honda, Bajaj, Benelli, Suzuki, Kawasaki, Ducati.\nEveryone drinks a different drink: tea, iced tea, coffee, milk, orange juice, lemonade, hot chocolate.\nEveryone supports a different NFL team: Los Angeles Rams, San Francisco 49ers, Green Bay Packers, Pittsburgh Steelers, New England Patriots, Buffalo Bills, Cincinnati Bengals.\nEveryone likes a different type of flower: dahlias, begonias, lilies, daffodils, marigolds, carnations, orchids.\nEveryone smokes a different cigarette: Dunhill, Newport, Blue Master, Camel, Blends, Winston, Marlboro.\nEveryone reads a different genre of books: fantasy, science fiction, humor, mystery, spiritual, romance, magical realism.\nEveryone likes a different physical activity: paragliding, running, biking, bungee jumping, swimming, base jumping, weight lifting.\nEveryone plays a different sport: baseball, cricket, squash, ice hockey, tennis, volleyball, table tennis.\nEveryone supports a different NBA team: Knicks, Celtics, Cavaliers, Suns, Hawks, Mavericks, Bucks.\nEveryone has a different name: Yair, Siva, Trinity, Katherine, Alex, Noah, Jackson.\nEveryone likes a different type of gemstone: Diamonds, Sapphires, Ambers, Emeralds, Dolomites, Amethysts, Topaz.\nEveryone lives in a different colored house: yellow, gold, violet, beige, pink, teal, red.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who lives in the teal house is not the person who likes paragliding.\nClue 2: The person who drinks lemonade is at one of the ends.\nClue 3: The person who reads mystery books is next to the cello player.\nClue 4: The cricket player is Katherine.\nClue 5: The person who likes Sprite is somewhere in between the person who drinks orange juice and the person who likes cows in that order.\nClue 6: The person who supports the Bucks is next to the person who reads humor books.\nClue 7: Jackson is not the drums player.\nClue 8: The person who likes jellyfish is the person who likes Canada Dry.\nClue 9: The person who drives the Suzuki is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 10: The person who supports the Suns is somewhere to the left of the person who owns a Tory Burch.\nClue 11: The person who supports the Los Angeles Rams is not the person who likes Limca.\nClue 12: The person who owns a Tumi is at one of the ends.\nClue 13: The person who likes weight lifting is immediately to the left of the person who smokes Newport.\nClue 14: The person who likes Diamonds is next to the person who supports the Green Bay Packers.\nClue 15: The person who drives the Ferrari is at one of the ends.\nClue 16: The person who supports the Cincinnati Bengals is immediately to the left of the person who supports the Green Bay Packers.\nClue 17: The person who likes pelikans is the person who likes weight lifting.\nClue 18: The person who likes Dr Pepper is the person who drinks iced tea.\nClue 19: Yair is not the harp player.\nClue 20: The writer is the person who likes Dolomites.\nClue 21: The person who likes Powerade is the person who lives in the violet house.\nClue 22: Katherine is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 23: The person who likes begonias is at one of the ends.\nClue 24: The person who lives in the pink house is at one of the ends.\nClue 25: The person who supports the Buffalo Bills is not the person who drives the Toyota.\nClue 26: The person who reads fantasy books is the person who drives the Benelli.\nClue 27: The person who lives in the gold house is somewhere in between the person who likes Dolomites and the person who supports the San Francisco 49ers in that order.\nClue 28: The person who supports the San Francisco 49ers is next to the person who likes lilies.\nClue 29: The person who smokes Dunhill is not the person who lives in the violet house.\nClue 30: The person who likes Diamonds is the person who supports the San Francisco 49ers.\nClue 31: The teacher is the person who drinks lemonade.\nClue 32: The person who smokes Blue Master is the person who likes Amethysts.\nClue 33: The volleyball player is somewhere in between the person who reads spiritual books and Trinity in that order.\nClue 34: The person who smokes Dunhill is somewhere to the left of the person who likes Sprite.\nClue 35: The person who likes begonias is not the person who likes Sprite.\nClue 36: The person at the 5th position is the person who drives the Buell.\nClue 37: The person who likes Amethysts is somewhere to the left of the person who likes jellyfish.\nClue 38: The person who likes Dolomites is the person who drives the Toyota.\nClue 39: The person who lives in the gold house is next to the person who likes Dolomites.\nClue 40: The person who smokes Dunhill is at one of the ends.\nClue 41: The person who lives in the red house is somewhere in between the person who likes Amethysts and the person who likes swimming in that order.\nClue 42: The person who smokes Dunhill is immediately to the left of the person who drives the BMW.\nClue 43: The writer is somewhere in between the person who likes wolves and the person who likes lilies in that order.\nClue 44: The person who drinks iced tea is not the writer.\nClue 45: The person who owns a Tory Burch is immediately to the left of the ice hockey player.\nClue 46: The person who lives in the red house is not the person who likes Amethysts.\nClue 47: The singer is not the person who smokes Marlboro.\nClue 48: The person who likes tilapia is next to the artist.\nClue 49: The person who likes Fanta is somewhere to the left of the person who likes Dolomites.\nClue 50: The person who supports the Bucks is immediately to the left of the person who supports the Cavaliers.\nClue 51: The person who supports the Mavericks is the baseball player.\nClue 52: The person who drives the McLaren is not the person who likes Fanta.\nClue 53: The person who likes Dolomites is immediately to the left of the person who supports the Green Bay Packers.\nClue 54: The person who supports the Celtics is Trinity.\nClue 55: The person who likes lilies is not the person who smokes Blue Master.\nClue 56: The architect is the person who lives in the yellow house.\nClue 57: The person who likes Emeralds is somewhere to the left of the person who smokes Camel.\nClue 58: The person who likes Dolomites is somewhere in between the person who smokes Newport and the person who drinks milk in that order.\nClue 59: The piano player is at one of the ends.\nClue 60: The person who drinks coffee is somewhere to the left of the person who likes bungee jumping.\nClue 61: The person who owns a Tory Burch is next to the volleyball player.\nClue 62: The person who lives in the beige house is somewhere in between the person who likes halibut and the person who likes jellyfish in that order.\nClue 63: The singer is immediately to the left of the person who likes begonias.\nClue 64: The person who owns a Tory Burch is somewhere in between the harp player and the oboe player in that order.\nClue 65: The person who likes Dr Pepper is not the person who likes Topaz.\nClue 66: The person who supports the Green Bay Packers is not the person who smokes Blends.\nClue 67: The person who supports the Green Bay Packers is not the person who likes daffodils.\nClue 68: The person who supports the Green Bay Packers is not the person who drives the Toyota.\nClue 69: The person who owns a Balenciaga is the tennis player.\nClue 70: The person who likes Sapphires is not the person who drinks tea.\nClue 71: The person who drives the Audi is somewhere to the left of the person who smokes Camel.\nClue 72: The person who likes cows is at one of the ends.\nClue 73: The person who drives the Suzuki is next to the person who owns a Balenciaga.\nClue 74: The writer is somewhere in between the person who drives the Honda and the person who supports the Green Bay Packers in that order.\nClue 75: The person who drives the Toyota is the person who likes jellyfish.\nClue 76: The person who supports the Los Angeles Rams is not the person who lives in the yellow house.\nClue 77: The person who reads spiritual books is next to the person at the 5th position.\nClue 78: The person who lives in the violet house is immediately to the left of the engineer.\nClue 79: The person who supports the San Francisco 49ers is next to the person who likes Sprite.\nClue 80: The person who likes Powerade is the person who likes halibut.\nClue 81: The person who drives the Suzuki is immediately to the left of the table tennis player.\nClue 82: The person who lives in the red house is immediately to the left of the person who likes Sprite.\nClue 83: The person who reads science fiction books is the drums player.\nClue 84: The teacher is not the person who likes Dr Pepper.\nClue 85: The person who drinks iced tea is not the person who drives the Lexus.\nClue 86: The person who likes sheep is somewhere in between the person who likes Gatorade and the person who likes Diamonds in that order.\nClue 87: Siva is at one of the ends.\nClue 88: The engineer is somewhere to the left of the person who likes orchids.\nClue 89: The engineer is not the person who likes begonias.\nClue 90: The singer is somewhere in between the person who lives in the red house and the architect in that order.\nClue 91: Jackson is the person who owns a Michael Kors.\nClue 92: The person who supports the Hawks is somewhere to the left of the person who drives the Ducati.\nClue 93: The person who drives the Honda is immediately to the left of the person who lives in the red house.\nClue 94: The person who likes orchids is somewhere in between the person who drinks tea and the person who lives in the yellow house in that order.\nClue 95: The person who likes Fanta is at one of the ends.\nClue 96: The person who reads spiritual books is the harp player.\nClue 97: The person who likes dahlias is not the singer.\nClue 98: The person who likes lilies is the person who supports the Green Bay Packers.\nClue 99: The engineer is somewhere in between the person who likes dahlias and the person who supports the Cincinnati Bengals in that order.\nClue 100: The person who likes daffodils is immediately to the left of the person who drives the Lexus.\nClue 101: The person who drives the McLaren is the person who supports the San Francisco 49ers.\nClue 102: The person who likes bungee jumping is somewhere in between the person who likes weight lifting and the person who supports the San Francisco 49ers in that order.\nClue 103: Alex is the person who owns a Balenciaga.\nClue 104: The baseball player is immediately to the left of the saxophone player.\nClue 105: The piano player is next to the person who drives the Bajaj.\nClue 106: The person who likes orchids is next to the singer.\nClue 107: The person who likes carnations is somewhere to the left of the person who drinks milk.\nClue 108: The person who supports the Cavaliers is the person who owns a Michael Kors.\nClue 109: The person who likes carnations is somewhere in between the person who likes Topaz and the person who smokes Camel in that order.\nClue 110: The person who reads spiritual books is next to the person who supports the Knicks.\nClue 111: The person who owns a Balenciaga is the person who reads magical realism books.\nClue 112: The person who supports the Los Angeles Rams is at one of the ends.\nClue 113: The person who drives the Honda is at one of the ends.\nClue 114: The person who likes paragliding is not the person who likes Emeralds.\nClue 115: The person who likes begonias is at one of the ends.\nClue 116: The person who likes Topaz is immediately to the left of the person who smokes Blue Master.\nClue 117: The ice hockey player is at one of the ends.\nClue 118: The person who smokes Blue Master is immediately to the left of the person who likes orchids.\nClue 119: The architect is at one of the ends.\nClue 120: The person who likes Fanta is at one of the ends.\nClue 121: The person who reads mystery books is at one of the ends.\nClue 122: The person who likes Powerade is not the person who drives the McLaren.\nClue 123: The person who drinks lemonade is somewhere to the left of the person who likes orchids.\nClue 124: Alex is next to the person who reads humor books.\nClue 125: The person who likes Amethysts is immediately to the left of the person who likes orchids.\nClue 126: The person who smokes Camel is at one of the ends.\nClue 127: The person who likes orchids is the writer.\nClue 128: The person who lives in the pink house is at one of the ends.\nClue 129: The person at the 1st position is immediately to the left of the person who owns a Balenciaga.\nClue 130: The person who drinks milk is somewhere in between the person who lives in the beige house and the person who likes cows in that order.\nClue 131: The person who reads humor books is at one of the ends.\nClue 132: The person who drives the Toyota is not the person who likes halibut.\nClue 133: The person who likes Gatorade is the person who likes Amethysts.\nClue 134: The person who likes Ambers is not the person who drinks orange juice.\nClue 135: The person who supports the Cincinnati Bengals is not the person who likes Sapphires.\nClue 136: The person who drives the McLaren is not the person who lives in the pink house.\nClue 137: The person who supports the Green Bay Packers is the person who likes bungee jumping.\nClue 138: The architect is not the person who supports the Cincinnati Bengals.\nClue 139: The cricket player is somewhere in between the person who supports the Knicks and the person who drives the Ducati in that order.\nClue 140: The person who drinks tea is somewhere in between the person who drives the BMW and the person who drinks coffee in that order.\nClue 141: The person who drinks orange juice is somewhere in between the person who drinks coffee and the person who drinks iced tea in that order.\n\nQuestion: What position is the person who reads science fiction books at?",
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    "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of gemstone: Ambers, Sapphires, Opals, Emeralds, Gypsum, Topaz, Pearls.\nEveryone drives a different car: Honda, Audi, McLaren, Hyundai, Lexus, Toyota, Kia.\nEveryone likes a different type of flower: peonies, carnations, marigolds, orchids, roses, daisies, dahlias.\nEveryone plays a different sport: baseball, basketball, squash, soccer, badminton, ice hockey, cricket.\nEveryone likes a different food: kebabs, curry, pasta, pizza, tacos, soups, sandwiches.\nEveryone drives a different motorbike: Kawasaki, Harley-Davidson, Benelli, Ducati, Suzuki, Yamaha, Honda.\nEveryone reads a different genre of books: humor, fantasy, science fiction, romance, history, short story, spiritual.\nEveryone has a different name: Barbara, Wang, Alex, Mohsen, Doug, Maven, Michelle.\nEveryone owns a different handbag brand: Kate Spade, Coach, Balenciaga, Michael Kors, Polo Ralph Lauren, Tory Burch, Versace.\nEveryone lives in a different colored house: teal, brown, yellow, grey, violet, gold, beige.\nEveryone smokes a different cigarette: Salem, Marlboro, Winston, Pall Mall, Newport, Dunhill, Davidoff.\nEveryone likes a different favorite animal: meerkats, leopards, butterflies, reindeer, otters, storks, panda bears.\nEveryone has a different favorite soft drink: Gatorade, Pepsi, Sprite, Mirinda, Coke, Powerade, Limca.\nEveryone drinks a different drink: water, orange juice, tea, iced coffee, milk, hot chocolate, beer.\nEveryone plays a different musical instrument: harp, piano, flute, harmonica, violin, cello, saxophone.\nEveryone has a different profession: engineer, dancer, actor, doctor, designer, spy, architect.\nEveryone likes a different fruit: mangoes, grapes, kiwis, raspberries, bananas, apples, oranges.\nEveryone likes a different physical activity: skiing, swimming, biking, paragliding, scuba diving, hiking, bungee jumping.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Tory Burch is the person who likes Gatorade.\nClue 2: The person who drives the Kawasaki is not the harp player.\nClue 3: The person who owns a Polo Ralph Lauren is somewhere to the left of the person who likes Sapphires.\nClue 4: The person who lives in the beige house is next to the person who likes sandwiches.\nClue 5: Michelle is somewhere to the left of the baseball player.\nClue 6: The person who likes leopards is not the person who smokes Salem.\nClue 7: The person who likes skiing is the person who smokes Winston.\nClue 8: The person who likes leopards is next to the person who drives the Harley-Davidson.\nClue 9: The person who lives in the grey house is the baseball player.\nClue 10: The flute player is the person who likes Gypsum.\nClue 11: The harmonica player is at one of the ends.\nClue 12: The doctor is at one of the ends.\nClue 13: The person who reads short story books is the person who likes roses.\nClue 14: The person at the 6th position is next to the person who lives in the violet house.\nClue 15: The person who likes Opals is immediately to the left of the person who smokes Salem.\nClue 16: The person who likes skiing is at one of the ends.\nClue 17: The person who drives the Honda is next to the person who lives in the gold house.\nClue 18: The person who reads science fiction books is immediately to the left of Wang.\nClue 19: The person who smokes Newport is somewhere in between the person who likes Pepsi and the person who smokes Davidoff in that order.\nClue 20: The person who likes reindeer is immediately to the left of the person who likes Ambers.\nClue 21: The person who likes Mirinda is the person who likes hiking.\nClue 22: The person who likes marigolds is the person who reads spiritual books.\nClue 23: The person who eats grapes is at one of the ends.\nClue 24: The basketball player is immediately to the left of Mohsen.\nClue 25: The person who drives the Hyundai is next to the person at the 4th position.\nClue 26: The person who drinks hot chocolate is somewhere to the left of the person who owns a Kate Spade.\nClue 27: The person who drinks tea is the person who likes meerkats.\nClue 28: The person who likes Gatorade is at one of the ends.\nClue 29: The person who likes Gatorade is immediately to the left of the person who drives the Ducati.\nClue 30: The person who drinks hot chocolate is next to the person who owns a Polo Ralph Lauren.\nClue 31: The cello player is immediately to the left of the person who drinks tea.\nClue 32: The person who drinks tea is not the person who smokes Davidoff.\nClue 33: The person who likes sandwiches is the person who reads romance books.\nClue 34: The person who likes Topaz is the person who smokes Winston.\nClue 35: The person who drives the Honda is not the person who likes Emeralds.\nClue 36: The person who drives the Kawasaki is at one of the ends.\nClue 37: The person who drives the McLaren is immediately to the left of the person who reads science fiction books.\nClue 38: The person who eats raspberries is the person who smokes Davidoff.\nClue 39: Maven is at one of the ends.\nClue 40: The person who likes pizza is Michelle.\nClue 41: The person who drinks hot chocolate is immediately to the left of the person who likes Pepsi.\nClue 42: The person who likes Emeralds is the person who likes Mirinda.\nClue 43: The person who eats apples is the person who drinks water.\nClue 44: The person who reads fantasy books is the soccer player.\nClue 45: The person who drinks iced coffee is somewhere in between the actor and the person who likes Sprite in that order.\nClue 46: The person who drives the Suzuki is at one of the ends.\nClue 47: The person who likes skiing is next to the person who smokes Dunhill.\nClue 48: The person who drinks water is at one of the ends.\nClue 49: The person who eats raspberries is not the person who likes Ambers.\nClue 50: The person who lives in the teal house is at one of the ends.\nClue 51: The person who drives the Toyota is somewhere to the left of the person who likes curry.\nClue 52: The person who likes Pepsi is somewhere to the left of the person who eats raspberries.\nClue 53: The person who drives the Kawasaki is not the person who smokes Dunhill.\nClue 54: The person who owns a Versace is somewhere to the left of the person who likes otters.\nClue 55: The person who likes pasta is the person who drives the Hyundai.\nClue 56: The person who likes Gypsum is somewhere in between the person who likes Opals and the person who likes Pearls in that order.\nClue 57: The person who likes peonies is next to the squash player.\nClue 58: The person who drives the Kia is somewhere in between Doug and Barbara in that order.\nClue 59: The person who smokes Salem is somewhere in between the designer and the person who owns a Balenciaga in that order.\nClue 60: The actor is somewhere to the left of the person who eats bananas.\nClue 61: The person who likes kebabs is Alex.\nClue 62: The harmonica player is the doctor.\nClue 63: The person who likes marigolds is the person who drives the Honda.\nClue 64: The person who drives the Yamaha is somewhere to the left of the person who eats apples.\nClue 65: The harmonica player is at one of the ends.\nClue 66: The person who drives the Kawasaki is not the cello player.\nClue 67: The person who likes Mirinda is somewhere to the left of the person who likes storks.\nClue 68: The person who likes Opals is the cello player.\nClue 69: The cello player is the person who drives the Ducati.\nClue 70: The person who likes scuba diving is at one of the ends.\nClue 71: The person who owns a Coach is immediately to the left of the person who smokes Marlboro.\nClue 72: The person who likes pasta is Wang.\nClue 73: The person who likes Powerade is immediately to the left of the person who smokes Davidoff.\nClue 74: The person who drives the Honda is Barbara.\nClue 75: The person who owns a Polo Ralph Lauren is immediately to the left of the person who likes Mirinda.\nClue 76: The person who likes butterflies is at one of the ends.\nClue 77: The flute player is not the person who drinks orange juice.\nClue 78: The person who owns a Kate Spade is somewhere in between the person who smokes Dunhill and the person who likes bungee jumping in that order.\nClue 79: The person who smokes Salem is somewhere to the left of the person who owns a Balenciaga.\nClue 80: The person who likes scuba diving is at one of the ends.\nClue 81: The person who likes Opals is somewhere in between the violin player and the person who eats bananas in that order.\nClue 82: The cricket player is immediately to the left of the person who likes curry.\nClue 83: The person who likes panda bears is the person who drinks hot chocolate.\nClue 84: The person who likes Ambers is not the person who drives the Harley-Davidson.\nClue 85: The person who likes Limca is the person who drives the Suzuki.\nClue 86: The person who drinks iced coffee is not the person who likes biking.\nClue 87: The person who likes Ambers is the doctor.\nClue 88: The person who drives the Kia is somewhere to the left of the person who likes tacos.\nClue 89: The person who drinks water is at one of the ends.\nClue 90: The person who likes Topaz is the person who smokes Winston.\nClue 91: The person who likes dahlias is the person who drives the Hyundai.\nClue 92: The person who likes Limca is not the designer.\nClue 93: The dancer is somewhere to the left of the person who smokes Pall Mall.\nClue 94: The person who eats grapes is somewhere to the left of the person who likes Opals.\nClue 95: Wang is the badminton player.\nClue 96: The cello player is immediately to the left of the person who eats mangoes.\nClue 97: The person who smokes Salem is not the person who likes Gypsum.\nClue 98: The person who likes swimming is the person who owns a Polo Ralph Lauren.\nClue 99: The person who drives the Audi is immediately to the left of the person who lives in the gold house.\nClue 100: The person who reads fantasy books is next to the person who likes marigolds.\nClue 101: Michelle is somewhere in between the cricket player and the person who likes marigolds in that order.\nClue 102: The person who eats oranges is immediately to the left of the piano player.\nClue 103: The engineer is at one of the ends.\nClue 104: The person who reads history books is immediately to the left of the person who drives the Toyota.\nClue 105: The person who drives the Harley-Davidson is immediately to the left of the flute player.\nClue 106: The person who owns a Balenciaga is at one of the ends.\nClue 107: The person who owns a Balenciaga is at one of the ends.\nClue 108: The person who owns a Coach is the person who likes biking.\nClue 109: The badminton player is somewhere to the left of the person who likes orchids.\nClue 110: The person who smokes Davidoff is next to the person who smokes Pall Mall.\nClue 111: The person who smokes Winston is the person who drinks hot chocolate.\nClue 112: The person who likes biking is not the person who likes Pepsi.\nClue 113: The person who likes Sprite is the spy.\nClue 114: The person who likes butterflies is at one of the ends.\nClue 115: The person who likes skiing is at one of the ends.\nClue 116: The person who likes tacos is next to the person who likes pizza.\nClue 117: The person who eats bananas is somewhere in between the person who eats mangoes and the person who eats apples in that order.\nClue 118: The person who likes tacos is at one of the ends.\nClue 119: The person who drinks orange juice is the person who likes biking.\nClue 120: Wang is the person who lives in the brown house.\nClue 121: The person who smokes Dunhill is not the person who likes panda bears.\nClue 122: The person who likes Emeralds is not the dancer.\nClue 123: The person who smokes Pall Mall is somewhere in between the person who drives the Benelli and the person who smokes Marlboro in that order.\nClue 124: The person who drinks tea is next to the person who likes Gypsum.\nClue 125: The person who likes skiing is not the person who drives the Benelli.\nClue 126: The person who drives the Kawasaki is next to the person who drives the Ducati.\nClue 127: The violin player is at one of the ends.\nClue 128: Maven is immediately to the left of the person who likes carnations.\nClue 129: The person who smokes Salem is not the person who owns a Coach.\nClue 130: The person who reads science fiction books is the person who lives in the beige house.\nClue 131: The dancer is the harp player.\nClue 132: The harmonica player is not the person who drives the Ducati.\nClue 133: The person who drives the Ducati is not the person who owns a Versace.\nClue 134: The person who likes peonies is next to the baseball player.\nClue 135: The person who eats bananas is next to the piano player.\nClue 136: The person who eats kiwis is somewhere in between the person who drives the Benelli and the doctor in that order.\nClue 137: The harp player is next to the person who drinks milk.\nClue 138: The person who reads short story books is the person at the 5th position.\nClue 139: Alex is immediately to the left of Doug.\nClue 140: The person who drives the McLaren is immediately to the left of the person who likes soups.\nClue 141: The person who likes Coke is the dancer.\nClue 142: The person who smokes Pall Mall is somewhere in between the person who likes Coke and the person who likes Limca in that order.\n\nQuestion: What position is the person who lives in the beige house at?",
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  },
  {
    "dataset": "bbeh",
    "family": "7ec60c9fcbce3760b91187d59cbd43d3351b6bb6e6ea1e757764d656c0231f5c",
    "id": "bbeh:zebra_puzzles:150",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone smokes a different cigarette: Davidoff, Newport, Winston, Blends, Pall Mall, Blue Master, Salem, Marlboro.\nEveryone likes a different type of flower: dahlias, daisies, lilies, marigolds, orchids, tulips, roses, carnations.\nEveryone plays a different sport: table tennis, volleyball, ice hockey, badminton, cricket, tennis, squash, baseball.\nEveryone has a different favorite hobby: mixology, sailing, parkour, cheese making, astronomy, knitting, camping, canoeing.\nEveryone likes a different fruit: oranges, mangoes, bananas, kiwis, raspberries, grapes, blackberries, apples.\nEveryone likes a different food: noodles, tacos, burgers, soups, kebabs, curry, fried rice, pasta.\nEveryone is a different nationality: Nepali, Serbian, American, Australian, Israeli, Portuguese, Bulgarian, Mexican.\nEveryone reads a different genre of books: humor, romance, history, spiritual, short story, magical realism, fantasy, science fiction.\nUsing the clues provided below, answer the question at the end.\nClue 1: The volleyball player is immediately to the left of the person who likes astronomy.\nClue 2: The person who smokes Davidoff is the person who likes pasta.\nClue 3: The person who likes kebabs is immediately to the left of the person who likes cheese making.\nClue 4: The person who reads short story books is the person who likes curry.\nClue 5: The Israeli is at one of the ends.\nClue 6: The person who likes tulips is the person who reads humor books.\nClue 7: The person who likes soups is somewhere to the left of the person who likes marigolds.\nClue 8: The person who reads science fiction books is somewhere in between the person who likes mixology and the person who likes lilies in that order.\nClue 9: The person who smokes Davidoff is somewhere to the left of the person at the 7th position.\nClue 10: The person who likes camping is the person who smokes Davidoff.\nClue 11: The person who likes canoeing is the person who likes orchids.\nClue 12: The person who likes daisies is the person who likes fried rice.\nClue 13: The person who reads humor books is the person who smokes Blue Master.\nClue 14: The person who smokes Davidoff is immediately to the left of the person who likes sailing.\nClue 15: The person who eats blackberries is next to the cricket player.\nClue 16: The person who likes pasta is next to the person who smokes Winston.\nClue 17: The table tennis player is next to the person who eats apples.\nClue 18: The person who likes soups is next to the person at the 7th position.\nClue 19: The person who smokes Blends is the Australian.\nClue 20: The person who likes roses is the tennis player.\nClue 21: The person who smokes Pall Mall is the person who likes astronomy.\nClue 22: The person who eats mangoes is next to the person who likes sailing.\nClue 23: The person who likes mixology is immediately to the left of the volleyball player.\nClue 24: The person who smokes Salem is next to the person who eats bananas.\nClue 25: The badminton player is immediately to the left of the Bulgarian.\nClue 26: The baseball player is immediately to the left of the person who likes soups.\nClue 27: The person who smokes Newport is somewhere to the left of the person who eats grapes.\nClue 28: The person who smokes Pall Mall is immediately to the left of the person who likes tulips.\nClue 29: The cricket player is immediately to the left of the tennis player.\nClue 30: The person who reads short story books is the Australian.\nClue 31: The person who smokes Marlboro is immediately to the left of the Nepali.\nClue 32: The person who eats bananas is immediately to the left of the person who likes parkour.\nClue 33: The person who eats raspberries is next to the Bulgarian.\nClue 34: The person who likes knitting is immediately to the left of the person at the 7th position.\nClue 35: The volleyball player is the person who likes daisies.\nClue 36: The squash player is the person who likes dahlias.\nClue 37: The person who likes tacos is somewhere in between the person who smokes Marlboro and the person who likes soups in that order.\nClue 38: The person who likes kebabs is the person who reads spiritual books.\nClue 39: The person who smokes Salem is the person who reads science fiction books.\nClue 40: The person who eats grapes is next to the person who eats apples.\nClue 41: The Israeli is immediately to the left of the person who likes noodles.\nClue 42: The person who smokes Salem is somewhere in between the person who likes mixology and the person who reads magical realism books in that order.\nClue 43: The Mexican is next to the Nepali.\nClue 44: The person who reads history books is the Portuguese.\nClue 45: The person who likes orchids is the person who eats apples.\nClue 46: The person who likes pasta is immediately to the left of the person who reads history books.\nClue 47: The person who smokes Davidoff is at one of the ends.\nClue 48: The person who reads romance books is at one of the ends.\nClue 49: The person who eats raspberries is the person who likes knitting.\nClue 50: The person who eats oranges is the American.\nClue 51: The Mexican is the person who likes burgers.\nClue 52: The person who eats raspberries is immediately to the left of the person who eats apples.\n\nQuestion: What position is the person who likes cheese making at?",
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  },
  {
    "dataset": "bbeh",
    "family": "35765b890211d80804db015930e29e6740b3522d25dd0b0e4fb0955c9c8ac37e",
    "id": "bbeh:zebra_puzzles:151",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different fruit: pears, apples, blueberries, oranges, bananas, kiwis, blackberries, strawberries.\nEveryone likes a different physical activity: weight lifting, biking, swimming, base jumping, skiing, scuba diving, hiking, bungee jumping.\nEveryone owns a different handbag brand: Versace, Kate Spade, Tory Burch, Dolce and Gabbana, Tumi, Polo Ralph Lauren, Gucci, Michael Kors.\nEveryone reads a different genre of books: romance, magical realism, humor, history, short story, spiritual, science fiction, fantasy.\nEveryone has a different profession: actor, designer, athlete, spy, artist, writer, chef, dancer.\nEveryone likes a different type of flower: carnations, dahlias, roses, orchids, lilies, daffodils, daisies, marigolds.\nEveryone lives in a different colored house: gold, beige, yellow, pink, grey, violet, brown, green.\nEveryone likes a different food: sandwiches, burgers, kebabs, pizza, tacos, noodles, curry, fried rice.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes skiing is somewhere to the left of the person at the 5th position.\nClue 2: The person who likes weight lifting is immediately to the left of the person who eats blueberries.\nClue 3: The person who owns a Tumi is the person who reads fantasy books.\nClue 4: The person who likes carnations is somewhere in between the person who reads science fiction books and the person who eats pears in that order.\nClue 5: The person who eats apples is the designer.\nClue 6: The person who eats oranges is next to the person who likes fried rice.\nClue 7: The person who lives in the pink house is the person who likes curry.\nClue 8: The person who likes carnations is the person who lives in the grey house.\nClue 9: The person who owns a Tumi is the person who lives in the brown house.\nClue 10: The person who reads spiritual books is next to the person who eats apples.\nClue 11: The person who eats strawberries is next to the person who lives in the yellow house.\nClue 12: The person who likes roses is the person who likes skiing.\nClue 13: The person who likes bungee jumping is next to the person who likes sandwiches.\nClue 14: The person who likes noodles is the person who likes weight lifting.\nClue 15: The person who reads spiritual books is at one of the ends.\nClue 16: The person who likes burgers is the person who owns a Gucci.\nClue 17: The person who lives in the violet house is immediately to the left of the person who likes fried rice.\nClue 18: The person who likes pizza is somewhere in between the person who likes scuba diving and the person who likes noodles in that order.\nClue 19: The person who owns a Tory Burch is next to the person who likes daisies.\nClue 20: The person who likes skiing is next to the person who likes swimming.\nClue 21: The person who owns a Polo Ralph Lauren is somewhere in between the actor and the person who owns a Gucci in that order.\nClue 22: The person who likes base jumping is immediately to the left of the person who eats blackberries.\nClue 23: The person who likes daisies is somewhere to the left of the person who reads magical realism books.\nClue 24: The person who reads humor books is the person at the 2nd position.\nClue 25: The person who reads humor books is next to the person who reads short story books.\nClue 26: The person who reads history books is next to the person who owns a Dolce and Gabbana.\nClue 27: The person who reads magical realism books is the person who likes biking.\nClue 28: The person who reads fantasy books is the person who likes scuba diving.\nClue 29: The artist is the person who likes skiing.\nClue 30: The person who likes scuba diving is the person who likes fried rice.\nClue 31: The person who likes dahlias is the person who owns a Dolce and Gabbana.\nClue 32: The athlete is the person who likes lilies.\nClue 33: The person who owns a Michael Kors is immediately to the left of the person who lives in the green house.\nClue 34: The dancer is next to the person at the 6th position.\nClue 35: The designer is immediately to the left of the person who lives in the violet house.\nClue 36: The person who eats kiwis is next to the person who likes orchids.\nClue 37: The person who lives in the beige house is immediately to the left of the person at the 3rd position.\nClue 38: The person at the 3rd position is immediately to the left of the actor.\nClue 39: The person who likes daisies is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 40: The person who reads magical realism books is at one of the ends.\nClue 41: The person who owns a Gucci is at one of the ends.\nClue 42: The person who owns a Gucci is next to the person who eats pears.\nClue 43: The person who reads history books is the person who likes pizza.\nClue 44: The chef is immediately to the left of the person who likes scuba diving.\nClue 45: The person who eats bananas is somewhere to the left of the person who likes hiking.\nClue 46: The person who eats apples is immediately to the left of the person who likes base jumping.\nClue 47: The person who reads magical realism books is the person who lives in the gold house.\nClue 48: The person who owns a Kate Spade is at one of the ends.\nClue 49: The person who likes weight lifting is the person who reads romance books.\nClue 50: The person who lives in the brown house is next to the person who eats bananas.\nClue 51: The designer is the person who likes kebabs.\nClue 52: The person who lives in the gold house is the person who likes marigolds.\nClue 53: The person who likes dahlias is the person who eats pears.\nClue 54: The writer is somewhere in between the person at the 4th position and the person who likes weight lifting in that order.\n\nQuestion: What position is the person who owns a Dolce and Gabbana at?",
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  {
    "dataset": "bbeh",
    "family": "110feece6e5ee0c14c4c49853718692402198d4a195c7024429bb6259e5de5a9",
    "id": "bbeh:zebra_puzzles:164",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different physical activity: swimming, hiking, scuba diving, bungee jumping, snorkeling, paragliding, weight lifting, biking.\nEveryone drives a different car: BMW, Ford, Kia, Toyota, Tesla, Honda, McLaren, Ferrari.\nEveryone drives a different motorbike: Kawasaki, Ducati, Benelli, Bajaj, Piaggio, Buell, Harley-Davidson, Suzuki.\nEveryone likes a different fruit: oranges, kiwis, raspberries, bananas, blackberries, apples, blueberries, strawberries.\nEveryone supports a different NFL team: Los Angeles Rams, Atlanta Falcons, Green Bay Packers, Philadelphia Eagles, Baltimore Ravens, Miami Dolphins, Seattle Seahawks, Dallas Cowboys.\nEveryone smokes a different cigarette: Marlboro, Salem, Blue Master, Newport, Winston, Davidoff, Pall Mall, Dunhill.\nEveryone plays a different sport: squash, table tennis, badminton, ice hockey, tennis, soccer, baseball, volleyball.\nEveryone has a different favorite hobby: quilting, knitting, sailing, archery, astronomy, pottery, baking, dancing.\nUsing the clues provided below, answer the question at the end.\nClue 1: The baseball player is at one of the ends.\nClue 2: The person who smokes Davidoff is at one of the ends.\nClue 3: The person who supports the Atlanta Falcons is immediately to the left of the person who smokes Pall Mall.\nClue 4: The person who drives the Bajaj is at one of the ends.\nClue 5: The person who eats blackberries is somewhere in between the person who supports the Miami Dolphins and the person who likes bungee jumping in that order.\nClue 6: The person who smokes Winston is the person who likes knitting.\nClue 7: The person who eats bananas is next to the person who likes dancing.\nClue 8: The person who eats oranges is the person who likes sailing.\nClue 9: The volleyball player is next to the person who likes hiking.\nClue 10: The person who drives the Ducati is immediately to the left of the person who likes quilting.\nClue 11: The soccer player is somewhere in between the table tennis player and the person who likes dancing in that order.\nClue 12: The badminton player is the person who eats blackberries.\nClue 13: The person who likes scuba diving is the person who smokes Dunhill.\nClue 14: The person who likes weight lifting is next to the person who likes swimming.\nClue 15: The person who supports the Dallas Cowboys is the person who likes bungee jumping.\nClue 16: The person who drives the Toyota is somewhere in between the tennis player and the person who drives the BMW in that order.\nClue 17: The person who drives the Tesla is immediately to the left of the person who likes pottery.\nClue 18: The ice hockey player is next to the person who smokes Dunhill.\nClue 19: The person who eats kiwis is the person who supports the Seattle Seahawks.\nClue 20: The person who likes paragliding is the person who supports the Green Bay Packers.\nClue 21: The person who likes baking is the person who likes swimming.\nClue 22: The person who eats apples is somewhere to the left of the person who supports the Atlanta Falcons.\nClue 23: The person who eats oranges is somewhere to the left of the person who drives the Honda.\nClue 24: The person who supports the Atlanta Falcons is immediately to the left of the person who drives the Kia.\nClue 25: The person who smokes Marlboro is immediately to the left of the person who smokes Winston.\nClue 26: The person who smokes Salem is immediately to the left of the person who smokes Dunhill.\nClue 27: The baseball player is the person who eats raspberries.\nClue 28: The person who drives the Honda is somewhere in between the person who smokes Dunhill and the person who drives the Harley-Davidson in that order.\nClue 29: The person who supports the Philadelphia Eagles is the person who drives the Suzuki.\nClue 30: The person who supports the Green Bay Packers is at one of the ends.\nClue 31: The person who likes snorkeling is next to the person who eats bananas.\nClue 32: The person who supports the Dallas Cowboys is somewhere in between the person who likes weight lifting and the table tennis player in that order.\nClue 33: The person who smokes Salem is immediately to the left of the person who eats kiwis.\nClue 34: The person who likes snorkeling is the person who smokes Marlboro.\nClue 35: The person who supports the Miami Dolphins is next to the person who drives the Tesla.\nClue 36: The squash player is at one of the ends.\nClue 37: The person who supports the Los Angeles Rams is immediately to the left of the person who drives the BMW.\nClue 38: The person who likes weight lifting is at one of the ends.\nClue 39: The person who drives the McLaren is the person at the 4th position.\nClue 40: The person who eats bananas is somewhere in between the person who likes snorkeling and the person who drives the BMW in that order.\nClue 41: The person who eats blueberries is the person who likes bungee jumping.\nClue 42: The person who drives the Kawasaki is immediately to the left of the person who drives the Benelli.\nClue 43: The person who supports the Green Bay Packers is the person who likes dancing.\nClue 44: The person who supports the Atlanta Falcons is the person who likes swimming.\nClue 45: The person who drives the Piaggio is next to the person at the 1st position.\nClue 46: The person who likes paragliding is the person who drives the Harley-Davidson.\nClue 47: The person who likes archery is at one of the ends.\nClue 48: The table tennis player is the person who eats strawberries.\nClue 49: The person who likes dancing is next to the person who drives the Buell.\nClue 50: The person who smokes Marlboro is somewhere in between the person who drives the McLaren and the person who drives the Ford in that order.\nClue 51: The person who drives the Kawasaki is the tennis player.\nClue 52: The table tennis player is somewhere to the left of the person who smokes Newport.\nClue 53: The person who supports the Atlanta Falcons is immediately to the left of the person who eats blueberries.\n\nQuestion: What position is the person who eats apples at?",
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    "task": "zebra_puzzles"
  },
  {
    "dataset": "bbeh",
    "family": "51b4429f5891d596bb035fc6f5be3e8fc7634817200bafd9bcea09ae36121354",
    "id": "bbeh:zebra_puzzles:171",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different name: Bob, Karan, Mandy, Ali, Michelle, Michael, Barbara, Mohan.\nEveryone has a different favorite hobby: language learning, kayaking, coin collecting, biking, skiing, knitting, mixology, metal detecting.\nEveryone plays a different sport: ice hockey, soccer, badminton, table tennis, cricket, squash, basketball, volleyball.\nEveryone drives a different car: Audi, Lexus, Kia, McLaren, Ferrari, Honda, Mercedes, Ford.\nEveryone likes a different fruit: raspberries, apples, blackberries, oranges, strawberries, grapes, pears, kiwis.\nEveryone likes a different type of flower: begonias, marigolds, carnations, orchids, peonies, lilies, tulips, roses.\nEveryone likes a different favorite animal: eels, meerkats, cats, coyotes, buffaloes, zebras, caterpillars, ligers.\nEveryone drinks a different drink: orange juice, beer, hot chocolate, iced coffee, water, coffee, milk, tea.\nUsing the clues provided below, answer the question at the end.\nClue 1: Mandy is next to the person who likes kayaking.\nClue 2: The person who likes roses is immediately to the left of the basketball player.\nClue 3: Karan is at one of the ends.\nClue 4: The person who eats kiwis is immediately to the left of the person who drinks tea.\nClue 5: The person who likes language learning is the person who likes eels.\nClue 6: Ali is immediately to the left of the person who eats raspberries.\nClue 7: The person who likes language learning is next to the person who likes skiing.\nClue 8: The person who drinks coffee is next to the badminton player.\nClue 9: Michelle is the person who likes biking.\nClue 10: The table tennis player is the person who eats kiwis.\nClue 11: The cricket player is next to the person who eats raspberries.\nClue 12: Barbara is the person who drives the McLaren.\nClue 13: The person who likes marigolds is the person who drinks beer.\nClue 14: The person who drives the Kia is immediately to the left of the person who likes caterpillars.\nClue 15: The person who drives the Audi is next to the person at the 2nd position.\nClue 16: Michael is somewhere in between the person who likes cats and the cricket player in that order.\nClue 17: The person who likes meerkats is somewhere to the left of the person who likes mixology.\nClue 18: The person who likes metal detecting is at one of the ends.\nClue 19: The person who drives the Ferrari is somewhere in between the person at the 2nd position and Barbara in that order.\nClue 20: The person who likes meerkats is next to Mohan.\nClue 21: The person who eats kiwis is at one of the ends.\nClue 22: The volleyball player is the person who drives the Honda.\nClue 23: The person who drinks orange juice is next to the person who likes carnations.\nClue 24: The person who eats oranges is the person who drives the Honda.\nClue 25: The person who drinks hot chocolate is at one of the ends.\nClue 26: The person who eats pears is the person who drinks coffee.\nClue 27: Michelle is somewhere in between the person who likes carnations and the person who likes coyotes in that order.\nClue 28: The person who drives the Honda is the person who drinks hot chocolate.\nClue 29: The person who eats strawberries is immediately to the left of the person who likes begonias.\nClue 30: The person who likes lilies is the person who drinks coffee.\nClue 31: The person who likes ligers is the person who eats raspberries.\nClue 32: The person who likes peonies is at one of the ends.\nClue 33: The person who drives the Mercedes is the person who likes meerkats.\nClue 34: Mandy is the person who eats blackberries.\nClue 35: The person who drives the Kia is immediately to the left of the person at the 6th position.\nClue 36: The person who likes coin collecting is the person who eats raspberries.\nClue 37: Mandy is next to the person who drinks iced coffee.\nClue 38: The person who likes begonias is the person who eats blackberries.\nClue 39: The person who drinks water is the person who likes cats.\nClue 40: The person who likes carnations is the soccer player.\nClue 41: Bob is immediately to the left of the person who drives the Mercedes.\nClue 42: The person who likes tulips is the person who drinks hot chocolate.\nClue 43: The person who likes zebras is at one of the ends.\nClue 44: The person who eats blackberries is immediately to the left of the person who likes orchids.\nClue 45: The person who likes skiing is the person who drinks hot chocolate.\nClue 46: The person who drinks water is Ali.\nClue 47: The person who eats grapes is the person who likes knitting.\nClue 48: The squash player is next to the person who likes caterpillars.\nClue 49: The person who likes cats is the person who drives the Lexus.\nClue 50: Barbara is immediately to the left of the person who drinks hot chocolate.\nClue 51: The person who drives the Kia is next to the person who likes meerkats.\nClue 52: The person who drives the Kia is immediately to the left of Mandy.\nClue 53: The person who drives the Kia is the person who likes marigolds.\n\nQuestion: What position is the person who likes marigolds at?",
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  {
    "dataset": "bbeh",
    "family": "63c83557e61d1b742ef68ab45e6953d775f09d1d1e89287e0ea7f90ecdea154f",
    "id": "bbeh:zebra_puzzles:172",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different favorite soft drink: Mirinda, Gatorade, 7up, Coke, Fanta, Sprite, Powerade, Dr Pepper.\nEveryone plays a different musical instrument: harp, cello, violin, drums, guitar, saxophone, flute, piano.\nEveryone owns a different handbag brand: Michael Kors, Kate Spade, Dolce and Gabbana, Polo Ralph Lauren, Coach, Gucci, Tumi, Balenciaga.\nEveryone plays a different sport: ice hockey, badminton, table tennis, baseball, tennis, volleyball, basketball, soccer.\nEveryone has a different profession: chef, doctor, dancer, actor, engineer, writer, athlete, artist.\nEveryone lives in a different colored house: green, black, grey, silver, orange, magenta, gold, teal.\nEveryone likes a different type of gemstone: Jade, Gypsum, Topaz, Obsidians, Dolomites, Pearls, Opals, Emeralds.\nEveryone smokes a different cigarette: Newport, Winston, Salem, Pall Mall, Blue Master, Davidoff, Camel, Blends.\nUsing the clues provided below, answer the question at the end.\nClue 1: The dancer is the flute player.\nClue 2: The person who likes Gypsum is the volleyball player.\nClue 3: The person who likes 7up is next to the athlete.\nClue 4: The piano player is next to the saxophone player.\nClue 5: The person who lives in the black house is the dancer.\nClue 6: The person who likes Powerade is the violin player.\nClue 7: The person who lives in the orange house is the engineer.\nClue 8: The person who likes Dr Pepper is at one of the ends.\nClue 9: The person who likes Gatorade is the tennis player.\nClue 10: The harp player is somewhere in between the doctor and the person who owns a Tumi in that order.\nClue 11: The person who likes Pearls is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 12: The person who likes Sprite is immediately to the left of the baseball player.\nClue 13: The violin player is at one of the ends.\nClue 14: The actor is at one of the ends.\nClue 15: The saxophone player is the table tennis player.\nClue 16: The person who smokes Newport is immediately to the left of the guitar player.\nClue 17: The person who likes Fanta is somewhere in between the person who lives in the black house and the athlete in that order.\nClue 18: The tennis player is next to the violin player.\nClue 19: The drums player is the person who owns a Coach.\nClue 20: The person who smokes Salem is immediately to the left of the person who lives in the black house.\nClue 21: The person who lives in the silver house is the person at the 5th position.\nClue 22: The person who likes Obsidians is the person who owns a Balenciaga.\nClue 23: The soccer player is immediately to the left of the volleyball player.\nClue 24: The person who lives in the black house is the person who smokes Winston.\nClue 25: The person who likes Obsidians is the artist.\nClue 26: The volleyball player is the person who lives in the silver house.\nClue 27: The person who smokes Pall Mall is the person who likes Obsidians.\nClue 28: The volleyball player is immediately to the left of the person who lives in the orange house.\nClue 29: The guitar player is somewhere to the left of the person who likes Mirinda.\nClue 30: The person at the 1st position is the person who smokes Salem.\nClue 31: The person who smokes Blends is at one of the ends.\nClue 32: The person who likes Jade is next to the person at the 3rd position.\nClue 33: The person at the 8th position is the person who owns a Kate Spade.\nClue 34: The ice hockey player is immediately to the left of the person who likes Dr Pepper.\nClue 35: The person who likes Topaz is at one of the ends.\nClue 36: The piano player is the person who owns a Balenciaga.\nClue 37: The badminton player is somewhere to the left of the doctor.\nClue 38: The person who likes Gypsum is next to the person who lives in the magenta house.\nClue 39: The person who owns a Dolce and Gabbana is next to the doctor.\nClue 40: The chef is the person who lives in the gold house.\nClue 41: The person who likes Obsidians is somewhere to the left of the person who lives in the grey house.\nClue 42: The person who likes Gatorade is next to the person who likes Opals.\nClue 43: The person who smokes Blue Master is the cello player.\nClue 44: The person who owns a Coach is the person who likes Pearls.\nClue 45: The table tennis player is at one of the ends.\nClue 46: The person who owns a Michael Kors is the person who lives in the black house.\nClue 47: The chef is at one of the ends.\nClue 48: The person who smokes Newport is somewhere to the left of the person who smokes Camel.\nClue 49: The person who owns a Gucci is immediately to the left of the person who owns a Michael Kors.\nClue 50: The cello player is the person who likes Coke.\nClue 51: The athlete is somewhere to the left of the person who smokes Pall Mall.\nClue 52: The person who lives in the green house is immediately to the left of the person who likes Topaz.\nClue 53: The person who lives in the magenta house is next to the person who owns a Coach.\nClue 54: The badminton player is at one of the ends.\nClue 55: The drums player is next to the person who smokes Blue Master.\nClue 56: The chef is next to the person who lives in the black house.\nClue 57: The chef is immediately to the left of the person who likes Dolomites.\nClue 58: The person who likes Sprite is next to the baseball player.\n\nQuestion: What position is the person who lives in the grey house at?",
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    "family": "982d2aeadf9c6447cde7c528e29053009781517b76edcaab6d22f605448f5887",
    "id": "bbeh:zebra_puzzles:174",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone owns a different handbag brand: Tory Burch, Dolce and Gabbana, Versace, Michael Kors, Polo Ralph Lauren, Tumi, Kate Spade, Coach.\nEveryone is a different nationality: Brit, Irish, Mexican, Turkish, Indian, Portuguese, Malaysian, Iranian.\nEveryone drinks a different drink: iced coffee, coffee, water, hot chocolate, orange juice, lemonade, tea, iced tea.\nEveryone has a different favorite hobby: quilting, sailing, wine making, crocheting, cooking, fishing, beekeeping, stamp collecting.\nEveryone smokes a different cigarette: Winston, Marlboro, Blends, Camel, Davidoff, Pall Mall, Dunhill, Blue Master.\nEveryone plays a different musical instrument: oboe, drums, harp, piano, saxophone, violin, flute, cello.\nEveryone reads a different genre of books: history, fantasy, spiritual, romance, science fiction, magical realism, humor, short story.\nEveryone supports a different NFL team: Chicago Bears, Buffalo Bills, Pittsburgh Steelers, Detroit Lions, Baltimore Ravens, Cincinnati Bengals, Seattle Seahawks, Arizona Cardinals.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes cooking is next to the flute player.\nClue 2: The person who smokes Blends is immediately to the left of the person who drinks coffee.\nClue 3: The Portuguese is the person who smokes Dunhill.\nClue 4: The Irish is the person who likes cooking.\nClue 5: The oboe player is the person who supports the Pittsburgh Steelers.\nClue 6: The person who smokes Blue Master is at one of the ends.\nClue 7: The person who owns a Coach is next to the Iranian.\nClue 8: The person who likes wine making is the oboe player.\nClue 9: The harp player is somewhere to the left of the person at the 6th position.\nClue 10: The person who supports the Chicago Bears is the Portuguese.\nClue 11: The person who drinks iced tea is at one of the ends.\nClue 12: The person who reads magical realism books is immediately to the left of the person who owns a Tumi.\nClue 13: The person who smokes Camel is immediately to the left of the person who owns a Michael Kors.\nClue 14: The person who likes beekeeping is the person who drinks tea.\nClue 15: The person at the 7th position is immediately to the left of the person who drinks orange juice.\nClue 16: The person who reads history books is the person who drinks lemonade.\nClue 17: The Malaysian is at one of the ends.\nClue 18: The person who smokes Blends is next to the person who supports the Arizona Cardinals.\nClue 19: The person who supports the Detroit Lions is immediately to the left of the Turkish.\nClue 20: The person who supports the Pittsburgh Steelers is next to the violin player.\nClue 21: The person who supports the Detroit Lions is next to the person who owns a Versace.\nClue 22: The person who smokes Winston is immediately to the left of the person who owns a Coach.\nClue 23: The person who supports the Pittsburgh Steelers is immediately to the left of the Mexican.\nClue 24: The person who owns a Coach is the person who reads spiritual books.\nClue 25: The person who reads short story books is at one of the ends.\nClue 26: The person who supports the Detroit Lions is next to the person who likes fishing.\nClue 27: The person who smokes Blue Master is immediately to the left of the person who supports the Detroit Lions.\nClue 28: The piano player is immediately to the left of the person who drinks orange juice.\nClue 29: The person who likes crocheting is the person who supports the Detroit Lions.\nClue 30: The person who owns a Dolce and Gabbana is immediately to the left of the person who owns a Kate Spade.\nClue 31: The person who reads romance books is immediately to the left of the person who drinks iced coffee.\nClue 32: The person who smokes Winston is somewhere to the left of the cello player.\nClue 33: The person who drinks orange juice is the person who supports the Chicago Bears.\nClue 34: The person who owns a Tumi is the person who smokes Camel.\nClue 35: The person who supports the Cincinnati Bengals is next to the flute player.\nClue 36: The person who owns a Coach is next to the person who drinks tea.\nClue 37: The person who owns a Versace is the person who supports the Seattle Seahawks.\nClue 38: The person who owns a Tory Burch is the harp player.\nClue 39: The person who supports the Seattle Seahawks is immediately to the left of the person who smokes Davidoff.\nClue 40: The oboe player is immediately to the left of the person who drinks hot chocolate.\nClue 41: The Brit is somewhere in between the person who likes sailing and the person who reads science fiction books in that order.\nClue 42: The person at the 3rd position is the drums player.\nClue 43: The person who owns a Coach is the Portuguese.\nClue 44: The person who smokes Davidoff is the Irish.\nClue 45: The person who reads romance books is immediately to the left of the person at the 3rd position.\nClue 46: The person who likes quilting is at one of the ends.\nClue 47: The oboe player is immediately to the left of the person who smokes Marlboro.\nClue 48: The Portuguese is next to the person who reads science fiction books.\nClue 49: The person who smokes Blends is the person who reads fantasy books.\nClue 50: The Indian is the person who owns a Polo Ralph Lauren.\nClue 51: The saxophone player is somewhere to the left of the person who owns a Michael Kors.\nClue 52: The oboe player is at one of the ends.\nClue 53: The person who supports the Buffalo Bills is somewhere in between the person who reads magical realism books and the person who owns a Coach in that order.\n\nQuestion: What position is the person who owns a Polo Ralph Lauren at?",
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  {
    "dataset": "bbeh",
    "family": "929e09af1b9d632c51d985a25832826857f81647b3e539888bfb12700ba25e1d",
    "id": "bbeh:zebra_puzzles:181",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different favorite hobby: kayaking, parkour, welding, dancing, fishing, mixology, wood carving, origami.\nEveryone likes a different type of flower: orchids, roses, dahlias, begonias, marigolds, daisies, peonies, daffodils.\nEveryone plays a different sport: badminton, soccer, squash, tennis, ice hockey, basketball, table tennis, cricket.\nEveryone reads a different genre of books: romance, spiritual, fantasy, science fiction, humor, mystery, magical realism, short story.\nEveryone supports a different NFL team: Green Bay Packers, Pittsburgh Steelers, Baltimore Ravens, Detroit Lions, Tennessee Titans, Dallas Cowboys, Atlanta Falcons, Philadelphia Eagles.\nEveryone drives a different motorbike: Ducati, Bajaj, Suzuki, Benelli, Piaggio, Harley-Davidson, Buell, Yamaha.\nEveryone likes a different type of gemstone: Obsidians, Amethysts, Pearls, Moonstones, Rubies, Jade, Emeralds, Sapphires.\nEveryone has a different favorite soft drink: Sprite, 7up, Pepsi, Mountain Dew, Powerade, Canada Dry, Fanta, Limca.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes Pepsi is next to the person who supports the Green Bay Packers.\nClue 2: The person who likes Moonstones is immediately to the left of the person who reads spiritual books.\nClue 3: The person who likes fishing is immediately to the left of the person who supports the Tennessee Titans.\nClue 4: The squash player is immediately to the left of the person who likes fishing.\nClue 5: The person who supports the Pittsburgh Steelers is immediately to the left of the person who likes daffodils.\nClue 6: The person who supports the Detroit Lions is the person who likes Sprite.\nClue 7: The person who supports the Dallas Cowboys is the person who likes Emeralds.\nClue 8: The person who reads mystery books is next to the person who drives the Suzuki.\nClue 9: The person who reads science fiction books is the person who likes Powerade.\nClue 10: The ice hockey player is the person who likes welding.\nClue 11: The person who drives the Yamaha is next to the person who likes Emeralds.\nClue 12: The person who likes dancing is the person at the 6th position.\nClue 13: The person who likes dahlias is the person who likes dancing.\nClue 14: The person who drives the Ducati is the person who reads fantasy books.\nClue 15: The person who likes Sapphires is the person at the 3rd position.\nClue 16: The person who likes wood carving is next to the person at the 1st position.\nClue 17: The person who reads science fiction books is immediately to the left of the person who reads magical realism books.\nClue 18: The person who likes daffodils is next to the person who likes Mountain Dew.\nClue 19: The person who likes daisies is the person who reads humor books.\nClue 20: The person who likes Pepsi is the person who supports the Baltimore Ravens.\nClue 21: The person who likes Pearls is the person who likes Limca.\nClue 22: The person who supports the Dallas Cowboys is the person who reads science fiction books.\nClue 23: The person who likes marigolds is immediately to the left of the ice hockey player.\nClue 24: The person who likes roses is the table tennis player.\nClue 25: The person who likes roses is immediately to the left of the person who likes Jade.\nClue 26: The person who reads short story books is the person who drives the Buell.\nClue 27: The person who likes origami is the person who likes 7up.\nClue 28: The person who likes peonies is somewhere to the left of the person who likes Obsidians.\nClue 29: The tennis player is somewhere to the left of the person who likes Fanta.\nClue 30: The person who likes mixology is immediately to the left of the person who reads romance books.\nClue 31: The person who likes Powerade is next to the person who likes Sprite.\nClue 32: The person who likes origami is the person who drives the Bajaj.\nClue 33: The person who supports the Philadelphia Eagles is the person who drives the Buell.\nClue 34: The person who reads fantasy books is the person who likes Fanta.\nClue 35: The person at the 7th position is the tennis player.\nClue 36: The person who likes Rubies is somewhere in between the person who likes dancing and the person who drives the Ducati in that order.\nClue 37: The person who drives the Harley-Davidson is not the person who reads science fiction books.\nClue 38: The person who likes Emeralds is the person who likes roses.\nClue 39: The person who supports the Tennessee Titans is next to the person who drives the Benelli.\nClue 40: The person who likes Emeralds is next to the person who likes marigolds.\nClue 41: The person who likes mixology is next to the person who reads humor books.\nClue 42: The person who drives the Ducati is the basketball player.\nClue 43: The cricket player is immediately to the left of the ice hockey player.\nClue 44: The person who likes Pepsi is somewhere to the left of the person who likes kayaking.\nClue 45: The person who supports the Baltimore Ravens is the person at the 7th position.\nClue 46: The person who reads spiritual books is somewhere to the left of the person who likes dahlias.\nClue 47: The person who supports the Philadelphia Eagles is immediately to the left of the person who likes origami.\nClue 48: The person who likes origami is the soccer player.\nClue 49: The person who likes marigolds is immediately to the left of the person who likes Sapphires.\nClue 50: The person who likes welding is the person who supports the Philadelphia Eagles.\nClue 51: The ice hockey player is the person who likes orchids.\n\nQuestion: What position is the person who supports the Tennessee Titans at?",
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  {
    "dataset": "bbeh",
    "family": "cc860623032f0fd4ef6e873d751684af7642369d5d3fd4ba70252c3dd32b4c14",
    "id": "bbeh:zebra_puzzles:187",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone reads a different genre of books: romance, fantasy, humor, history, spiritual, magical realism, short story, mystery.\nEveryone likes a different type of gemstone: Obsidians, Pearls, Rubies, Opals, Sapphires, Corals, Moonstones, Topaz.\nEveryone supports a different NBA team: Lakers, Bucks, Mavericks, Hawks, Celtics, Bulls, Warriors, Knicks.\nEveryone plays a different sport: ice hockey, baseball, soccer, cricket, volleyball, squash, table tennis, basketball.\nEveryone has a different favorite soft drink: Canada Dry, Gatorade, 7up, Pepsi, Mirinda, Powerade, Mountain Dew, Sprite.\nEveryone has a different profession: spy, architect, athlete, artist, dancer, chef, actor, designer.\nEveryone smokes a different cigarette: Marlboro, Salem, Blends, Newport, Camel, Davidoff, Winston, Blue Master.\nEveryone owns a different handbag brand: Michael Kors, Dolce and Gabbana, Versace, Balenciaga, Tumi, Polo Ralph Lauren, Kate Spade, Tory Burch.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who owns a Balenciaga is somewhere in between the person who owns a Polo Ralph Lauren and the actor in that order.\nClue 2: The person who likes Corals is the person who reads fantasy books.\nClue 3: The person who reads humor books is the person who supports the Bucks.\nClue 4: The person at the 5th position is immediately to the left of the person who smokes Newport.\nClue 5: The person who smokes Blue Master is immediately to the left of the person at the 2nd position.\nClue 6: The person who reads magical realism books is at one of the ends.\nClue 7: The person who smokes Davidoff is the person who supports the Bucks.\nClue 8: The dancer is at one of the ends.\nClue 9: The person who likes Moonstones is somewhere in between the person who smokes Marlboro and the squash player in that order.\nClue 10: The person who owns a Tory Burch is somewhere to the left of the person who likes 7up.\nClue 11: The baseball player is next to the person who owns a Polo Ralph Lauren.\nClue 12: The person who likes Powerade is at one of the ends.\nClue 13: The person who supports the Hawks is the ice hockey player.\nClue 14: The person who likes Obsidians is at one of the ends.\nClue 15: The chef is next to the spy.\nClue 16: The architect is the person who likes Pepsi.\nClue 17: The person who likes Sapphires is the person who supports the Lakers.\nClue 18: The person who reads mystery books is somewhere to the left of the spy.\nClue 19: The person who supports the Warriors is not the table tennis player.\nClue 20: The chef is immediately to the left of the ice hockey player.\nClue 21: The athlete is the person who reads humor books.\nClue 22: The person who supports the Bulls is somewhere to the left of the person who smokes Winston.\nClue 23: The person who owns a Tumi is at one of the ends.\nClue 24: The person who likes Corals is next to the person who reads romance books.\nClue 25: The person who likes Mountain Dew is somewhere in between the person who reads spiritual books and the person who smokes Salem in that order.\nClue 26: The person who supports the Warriors is at one of the ends.\nClue 27: The person who owns a Versace is next to the person at the 7th position.\nClue 28: The person who smokes Newport is somewhere in between the person who likes 7up and the person who owns a Kate Spade in that order.\nClue 29: The person who likes Opals is immediately to the left of the person who reads romance books.\nClue 30: The person who smokes Blends is the person who supports the Hawks.\nClue 31: The artist is immediately to the left of the person who smokes Salem.\nClue 32: The table tennis player is the person who likes Sprite.\nClue 33: The person at the 8th position is the cricket player.\nClue 34: The actor is at one of the ends.\nClue 35: The person who owns a Tory Burch is the ice hockey player.\nClue 36: The person who likes Obsidians is the person who likes Mirinda.\nClue 37: The volleyball player is next to the person who reads romance books.\nClue 38: The basketball player is immediately to the left of the cricket player.\nClue 39: The person who owns a Dolce and Gabbana is the soccer player.\nClue 40: The artist is somewhere to the left of the person who supports the Mavericks.\nClue 41: The chef is immediately to the left of the person who likes Gatorade.\nClue 42: The person who smokes Salem is the person who supports the Bulls.\nClue 43: The basketball player is somewhere in between the person who likes Mountain Dew and the person who likes Pearls in that order.\nClue 44: The person who reads history books is the cricket player.\nClue 45: The person who owns a Kate Spade is the architect.\nClue 46: The person who owns a Michael Kors is somewhere to the left of the person who supports the Lakers.\nClue 47: The person who reads spiritual books is immediately to the left of the person who smokes Newport.\nClue 48: The person who owns a Balenciaga is immediately to the left of the person who reads fantasy books.\nClue 49: The person who supports the Knicks is somewhere in between the person who supports the Hawks and the person who owns a Balenciaga in that order.\nClue 50: The person who owns a Tory Burch is immediately to the left of the person who likes Opals.\nClue 51: The designer is somewhere in between the person who owns a Tumi and the person who likes Mountain Dew in that order.\nClue 52: The person who owns a Balenciaga is immediately to the left of the person who owns a Kate Spade.\nClue 53: The person who owns a Dolce and Gabbana is somewhere in between the person who owns a Polo Ralph Lauren and the person who likes Moonstones in that order.\nClue 54: The person who reads humor books is immediately to the left of the person who likes Rubies.\nClue 55: The cricket player is next to the person who supports the Bulls.\n\nQuestion: What position is the person who smokes Blends at?",
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    "dataset": "bbeh",
    "family": "d89745e49901af92cf48e5894c9971637c6a490b310e189e48820ba95991c4f7",
    "id": "bbeh:zebra_puzzles:195",
    "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone is a different nationality: Korean, Serbian, Pakistani, German, Malaysian, Iranian, American, Swede.\nEveryone has a different profession: architect, writer, dancer, chef, engineer, athlete, singer, spy.\nEveryone likes a different type of gemstone: Emeralds, Jade, Aquamarines, Sapphires, Moonstones, Topaz, Gypsum, Opals.\nEveryone drinks a different drink: beer, iced coffee, orange juice, iced tea, milk, water, hot chocolate, lemonade.\nEveryone likes a different physical activity: paragliding, snorkeling, skiing, swimming, bungee jumping, scuba diving, weight lifting, running.\nEveryone has a different favorite hobby: fishing, juggling, crocheting, biking, kayaking, parkour, drone flying, painting.\nEveryone likes a different fruit: grapes, blackberries, blueberries, mangoes, raspberries, strawberries, pears, oranges.\nEveryone likes a different food: curry, pasta, fried rice, soups, kebabs, sandwiches, tacos, burgers.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes running is at one of the ends.\nClue 2: The athlete is the person who likes biking.\nClue 3: The German is immediately to the left of the Korean.\nClue 4: The German is the spy.\nClue 5: The person who likes pasta is at one of the ends.\nClue 6: The person who eats blackberries is immediately to the left of the person at the 3rd position.\nClue 7: The Iranian is the person who likes biking.\nClue 8: The person who likes curry is somewhere to the left of the dancer.\nClue 9: The person who likes Opals is next to the chef.\nClue 10: The person who likes paragliding is immediately to the left of the person who likes kayaking.\nClue 11: The Iranian is next to the person who drinks orange juice.\nClue 12: The person who likes Moonstones is somewhere in between the person at the 5th position and the person who likes bungee jumping in that order.\nClue 13: The person who drinks beer is the person who likes snorkeling.\nClue 14: The person who likes Sapphires is the person who likes drone flying.\nClue 15: The person who eats oranges is somewhere in between the person who likes burgers and the person who likes juggling in that order.\nClue 16: The person who likes fishing is somewhere in between the person who likes pasta and the person who likes kebabs in that order.\nClue 17: The Serbian is somewhere in between the person who likes Aquamarines and the Iranian in that order.\nClue 18: The person who likes swimming is the person who likes fried rice.\nClue 19: The person who likes Jade is next to the person who eats oranges.\nClue 20: The person who likes Emeralds is the person who likes bungee jumping.\nClue 21: The person who likes soups is the person who likes juggling.\nClue 22: The person who drinks water is somewhere in between the spy and the athlete in that order.\nClue 23: The Pakistani is somewhere in between the athlete and the person who likes Emeralds in that order.\nClue 24: The person who eats blueberries is the person who drinks hot chocolate.\nClue 25: The spy is next to the person who drinks iced coffee.\nClue 26: The person who likes weight lifting is somewhere to the left of the Swede.\nClue 27: The person who likes parkour is at one of the ends.\nClue 28: The person who likes Moonstones is immediately to the left of the person who likes curry.\nClue 29: The Pakistani is the person who eats raspberries.\nClue 30: The person who likes tacos is the person who eats blueberries.\nClue 31: The person who likes Topaz is the singer.\nClue 32: The person who eats strawberries is immediately to the left of the person who eats raspberries.\nClue 33: The person who eats mangoes is somewhere to the left of the person who likes scuba diving.\nClue 34: The Serbian is next to the person who likes paragliding.\nClue 35: The person who likes crocheting is somewhere in between the person at the 5th position and the person who likes Sapphires in that order.\nClue 36: The person who eats grapes is immediately to the left of the person who likes Sapphires.\nClue 37: The person who likes burgers is the person who drinks lemonade.\nClue 38: The German is immediately to the left of the person at the 4th position.\nClue 39: The person who likes juggling is immediately to the left of the person who drinks iced tea.\nClue 40: The writer is immediately to the left of the person who drinks hot chocolate.\nClue 41: The person who drinks water is next to the person who likes swimming.\nClue 42: The writer is somewhere in between the Pakistani and the person who likes Sapphires in that order.\nClue 43: The engineer is immediately to the left of the person who drinks lemonade.\nClue 44: The person who eats mangoes is immediately to the left of the Korean.\nClue 45: The chef is immediately to the left of the person at the 7th position.\nClue 46: The person who likes juggling is the person who likes weight lifting.\nClue 47: The spy is next to the person who likes fishing.\nClue 48: The person who drinks milk is immediately to the left of the Pakistani.\nClue 49: The person who likes Emeralds is the Malaysian.\n\nQuestion: What position is the person who likes Sapphires at?",
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