{"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":"db2985e6-21a6-5d38-b0f1-1d5d2587c4af","task_key":"bbeh~5fdisambiguation~5fqa--full--db2985e6-21a6-5d38-b0f1-1d5d2587c4af","task_revision_id":"1","upstream_id":"","short_description":"Here is a sentence with pronoun(s) whose antecedent(s) can either be derived…","config":"bbeh_disambiguation_qa","split":"full","body":"{\"input\":\"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.\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-deepmind/bbeh","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}