{"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":"05c841f8-43ed-512c-a977-f46e52d50c47","task_key":"bbeh~5fword~5fsorting--full--05c841f8-43ed-512c-a977-f46e52d50c47","task_revision_id":"1","upstream_id":"","short_description":"You are an expert in word sorting. You will be provided with a list of words and…","config":"bbeh_word_sorting","split":"full","body":"{\"input\":\"\\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: bunsen frilly lao trunkful protocol orthodontist data acrid nationwide votary copyright burlesque isotropy stock marcel laidlaw submitted surf broglie\\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \\\"bunsen\\\": \\\"b\\\" (2). \\\"frilly\\\": \\\"f\\\" (6). \\\"lao\\\": \\\"l\\\" (12). \\\"trunkful\\\": \\\"t\\\" (20). \\\"protocol\\\": \\\"p\\\" (16). \\\"orthodontist\\\": \\\"o\\\" (15). \\\"data\\\": \\\"d\\\" (4). \\\"acrid\\\": \\\"a\\\" (1). \\\"nationwide\\\": \\\"n\\\" (14). \\\"votary\\\": \\\"v\\\" (22). \\\"copyright\\\": \\\"c\\\" (3). \\\"burlesque\\\": \\\"b\\\" (2). \\\"isotropy\\\": \\\"i\\\" (9). \\\"stock\\\": \\\"s\\\" (19). \\\"marcel\\\": \\\"m\\\" (13). \\\"laidlaw\\\": \\\"l\\\" (12). \\\"submitted\\\": \\\"s\\\" (19). \\\"surf\\\": \\\"s\\\" (19). \\\"broglie\\\": \\\"b\\\" (2).\\nThought 2: We now have: (1) \\\"acrid\\\" < (2) [\\\"burlesque\\\" ? \\\"bunsen\\\" ? \\\"broglie\\\"] < (3) \\\"copyright\\\" < (4) \\\"data\\\" < (6) \\\"frilly\\\" < (9) \\\"isotropy\\\" < (12) [\\\"lao\\\" ? \\\"laidlaw\\\"] < (13) \\\"marcel\\\" < (14) \\\"nationwide\\\" < (15) \\\"orthodontist\\\" < (16) \\\"protocol\\\" < (19) [\\\"stock\\\" ? \\\"submitted\\\" ? \\\"surf\\\"] < (20) \\\"trunkful\\\" < (22) \\\"votary\\\".\\nThought 3: Now let's sort this subpart [\\\"burlesque\\\" ? \\\"bunsen\\\" ? \\\"broglie\\\"] by looking at their second letters. The second letter: \\\"burlesque\\\": \\\"u\\\" (21). \\\"bunsen\\\": \\\"u\\\" (21). \\\"broglie\\\": \\\"r\\\" (18).\\nThought 4: We now have: (2) \\\"burlesque\\\" < (2) \\\"bunsen\\\" < (18) \\\"broglie\\\" for the subpart. Hence, we have \\\"acrid\\\" < \\\"burlesque\\\" < \\\"bunsen\\\" < \\\"broglie\\\" < \\\"copyright\\\" < \\\"data\\\" < \\\"frilly\\\" < \\\"isotropy\\\" < [\\\"lao\\\" ? \\\"laidlaw\\\"] < \\\"marcel\\\" < \\\"nationwide\\\" < \\\"orthodontist\\\" < \\\"protocol\\\" < [\\\"stock\\\" ? \\\"submitted\\\" ? \\\"surf\\\"] < \\\"trunkful\\\" < \\\"votary\\\".\\nThought 5: Now let's sort this subpart [\\\"lao\\\" ? \\\"laidlaw\\\"] by looking at their second letters. The second letter: \\\"lao\\\": \\\"a\\\" (1). \\\"laidlaw\\\": \\\"a\\\" (1).\\nThought 6: We now have: (1) \\\"lao\\\" < (1) \\\"laidlaw\\\" for the subpart. Hence, we have \\\"acrid\\\" < \\\"burlesque\\\" < \\\"bunsen\\\" < \\\"broglie\\\" < \\\"copyright\\\" < \\\"data\\\" < \\\"frilly\\\" < \\\"isotropy\\\" < \\\"lao\\\" < \\\"laidlaw\\\" < \\\"marcel\\\" < \\\"nationwide\\\" < \\\"orthodontist\\\" < \\\"protocol\\\" < [\\\"stock\\\" ? \\\"submitted\\\" ? \\\"surf\\\"] < \\\"trunkful\\\" < \\\"votary\\\".\\nThought 7: Now let's sort this subpart [\\\"stock\\\" ? \\\"submitted\\\" ? \\\"surf\\\"] by looking at their second letters. The second letter: \\\"stock\\\": \\\"t\\\" (20). \\\"submitted\\\": \\\"u\\\" (21). \\\"surf\\\": \\\"u\\\" (21).\\nThought 8: We now have: (20) \\\"stock\\\" < (21) [\\\"submitted\\\" ? \\\"surf\\\"] for the subpart. Hence, we have \\\"acrid\\\" < \\\"burlesque\\\" < \\\"bunsen\\\" < \\\"broglie\\\" < \\\"copyright\\\" < \\\"data\\\" < \\\"frilly\\\" < \\\"isotropy\\\" < \\\"lao\\\" < \\\"laidlaw\\\" < \\\"marcel\\\" < \\\"nationwide\\\" < \\\"orthodontist\\\" < \\\"protocol\\\" < \\\"stock\\\" < [\\\"submitted\\\" ? \\\"surf\\\"] < \\\"trunkful\\\" < \\\"votary\\\".\\nThought 9: Now let's sort this subpart [\\\"submitted\\\" ? \\\"surf\\\"] by looking at their third letters. The third letter: \\\"submitted\\\": \\\"b\\\" (2). \\\"surf\\\": \\\"r\\\" (18).\\nThought 10: We now have: (2) \\\"submitted\\\" < (18) \\\"surf\\\" for the subpart. Hence, we have \\\"acrid\\\" < \\\"burlesque\\\" < \\\"bunsen\\\" < \\\"broglie\\\" < \\\"copyright\\\" < \\\"data\\\" < \\\"frilly\\\" < \\\"isotropy\\\" < \\\"lao\\\" < \\\"laidlaw\\\" < \\\"marcel\\\" < \\\"nationwide\\\" < \\\"orthodontist\\\" < \\\"protocol\\\" < \\\"stock\\\" < \\\"submitted\\\" < \\\"surf\\\" < \\\"trunkful\\\" < \\\"votary\\\".\\nThought 11: I have now sorted all the words. The answer is acrid burlesque bunsen broglie copyright data frilly isotropy lao laidlaw marcel nationwide orthodontist protocol stock submitted surf trunkful votary\\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\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-deepmind/bbeh","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}