{"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":"c42bb82f-cab2-50d8-8c6a-c1dd613af3c2","task_key":"default--test--7994","task_revision_id":"1","upstream_id":"7994","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\":\"['$0.3524$', '$0.2123$', '$0.5948$', '$0.3187$', '$0.4298$', '$0.7599$', '$0.6882$', '$0.5012$', '$0.4772$', '$0.2634$']\",\"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(a) $P(77<\\\\bar{X}<79.5)$.\",\"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":[]}