{"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":"7ca94d27-e5e9-5589-9eca-d8dc94cb821c","task_key":"bbeh~5fdisambiguation~5fqa--full--7ca94d27-e5e9-5589-9eca-d8dc94cb821c","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 lawyer met the doctor at the hospital where they visited a patient. They then went to the cafeteria. The doctor said she was worried about the patient's recovery. The lawyer responded that he hoped the new medication would help. The doctor then went back to work.\\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\\n(A) The lawyer ate lunch in the cafeteria. \\n(B) The lawyer is a woman. \\n(C) The patient was feeling better. \\n(D) The doctor prescribed a new medication. \\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":[]}