{"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":"8a6dea8e-591a-5ba2-8c81-4b691c3d6ebe","task_key":"default--test--7783","task_revision_id":"1","upstream_id":"7783","short_description":"5.4-21. Let $X$ and $Y$ be independent with distributions $N(5,16)$ and…","config":"default","split":"test","body":"{\"category\":\"math\",\"options\":\"['$0.5873$', '$0.5124$', '$0.6915$', '$0.4758$', '$0.2431$', '$0.4207$', '$0.3256$', '$0.3591$', '$0.5389$', '$0.2769$']\",\"question\":\"5.4-21. Let $X$ and $Y$ be independent with distributions $N(5,16)$ and $N(6,9)$, respectively. Evaluate $P(X>Y)=$ $P(X-Y>0)$.\\n\",\"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":[]}