{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"bbeh","formal_name":"BIG-Bench Extra Hard (BBEH)","introduction":"BIG-Bench Extra Hard evaluates language-model reasoning through challenging task categories. It offers full and mini distributions; this import contains the full distribution: 4,520 questions across all 23 task categories.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/google-deepmind/bbeh","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"6b172546-dd47-52a4-a22c-5202e6d7dd28","task_key":"bbeh~5fobject~5fproperties--full--6b172546-dd47-52a4-a22c-5202e6d7dd28","task_revision_id":"1","upstream_id":"","short_description":"I had a collection of 32 weird items that went through a few changes. Initially,…","config":"bbeh_object_properties","split":"full","body":"{\"input\":\"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\\\".\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-deepmind/bbeh","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}