{"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":"0b3813f5-53e7-55ff-97fd-22e6f67a9559","task_key":"default--test--8432","task_revision_id":"1","upstream_id":"8432","short_description":"5.5-1. Let $X_1, X_2, \\ldots, X_{16}$ be a random sample from a normal…","config":"default","split":"test","body":"{\"category\":\"math\",\"options\":\"['$0.6398$', '$0.9544$', '$0.4772$', '$0.7234$', '$0.8561$', '$0.9750$', '$0.6826$', '$0.9042$', '$0.8128$', '$0.8925$']\",\"question\":\"5.5-1. Let $X_1, X_2, \\\\ldots, X_{16}$ be a random sample from a normal distribution $N(77,25)$. Compute\\n(b) $P(74.2<\\\\bar{X}<78.4)$.\",\"src\":\"scibench-stat\"}","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":[]}