{"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":"20a9a350-c85a-545f-bf39-0994dbe3655f","task_key":"bbeh~5fdisambiguation~5fqa--full--20a9a350-c85a-545f-bf39-0994dbe3655f","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 architect adjusted their glasses and looked at the menu. He ordered a black coffee and a bagel. The waitress brought him his order at the same time the doctor entered the shop. He greeted them and ordered a bagel. The doctor greeted the architect and sat down at a neighboring table. She showed him her caseload.\\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\\n(A) The doctor is male. \\n(B) The doctor is female\\n(C) The architect is female.\\n(D) The doctor ordered coffee.\\n(E) 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":[]}