{"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":"ca875e24-5f16-5f98-a3d2-fb9c0b03d789","task_key":"bbeh~5fsportqa--full--ca875e24-5f16-5f98-a3d2-fb9c0b03d789","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:  What is the size of a standard table tennis court?  A) 2.74m x 1.525m B) 2.75m x 1.5m C) 2.7m x 1.6m D) 2.8m x 1.6m\\nSub-Question 1:  What is the total area of a standard table tennis court with the standard dimensions of 2.74m (length) and 1.525m (width)?  A) 4.1785 m^2 B) 4.2786 m^2 C) 3.9622 m^2 D) 4.1844 m^2\\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":[]}