{"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":"fe058748-2b10-55f8-b89c-4c26674204b7","task_key":"default--test--7978","task_revision_id":"1","upstream_id":"7978","short_description":"Let $X_1, X_2, \\ldots$ be a sequence of independent indetically distributed…","config":"default","split":"test","body":"{\"category\":\"math\",\"options\":\"['2.1', '1.4', '0.5', '3.5', '2.8', '1.8', '0.7', '3.1', '2.5', '1.1']\",\"question\":\"Let $X_1, X_2, \\\\ldots$ be a sequence of independent indetically distributed random variables drawn according to the probability mass function $p(x) = N(0,1)$. Let $q(x)=N(1,1)$ be another probability mass function. Use natural logarithm to evaluate $\\\\lim -\\\\frac{1}{n}\\\\log{q(X_1,X_2,\\\\ldots,X_n)}$ as $n \\\\to \\\\infty$.\",\"src\":\"theoremQA-Math\"}","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":[]}