{"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":"aab9335b-a81b-5a37-b0da-71720d09eff5","task_key":"bbeh~5fsportqa--full--aab9335b-a81b-5a37-b0da-71720d09eff5","task_revision_id":"1","upstream_id":"","short_description":"You will be given a main question and a sub-question. Each question comes with…","config":"bbeh_sportqa","split":"full","body":"{\"input\":\"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: Which material is known for its durability and lightweight feature and is commonly used in high-performance table tennis rackets?  A) Carbon Fiber  B) Aluminium  C) Steel  D) Plastic \\nSub-Question 1: How much natural wood does a table tennis racket base need to contain?  A) 80% B) 85%  C) 90%  D) 75%\\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\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-deepmind/bbeh","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}