{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"mmlu-pro","formal_name":"MMLU-Pro","introduction":"MMLU-Pro rebuilds MMLU with ten answer options instead of four and removes items that no longer separate models. Questions span fourteen academic and professional subjects.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro","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":"257e471d-b78b-5404-8493-08abe12c362d","task_key":"default--test--10632","task_revision_id":"1","upstream_id":"10632","short_description":"Statement 1| Maximizing the likelihood of logistic regression model yields…","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['True, True', 'Both statements are not known', 'Both Statements are partially true', 'Statement 1 is not known and Statement 2 is True', 'Statement 1 is not known and Statement 2 is False', 'False, False', 'Statement 1 is False and Statement 2 is not known', 'True, False', 'False, True', 'Statement 1 is True and Statement 2 is not known']\",\"question\":\"Statement 1| Maximizing the likelihood of logistic regression model yields multiple local optimums. Statement 2| No classifier can do better than a naive Bayes classifier if the distribution of the data is known.\",\"src\":\"ori_mmlu-machine_learning\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}