{"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":"1c940e6a-26dc-5985-b4a3-c98877223191","task_key":"default--test--8747","task_revision_id":"1","upstream_id":"8747","short_description":"For a parametric family $\\{p_\\theta(x)\\}$ we know that…","config":"default","split":"test","body":"{\"category\":\"math\",\"options\":\"['0.25', '4', '0.5', '1', '2.5', '-1', '2', '1.5', '3', '0']\",\"question\":\"For a parametric family $\\\\{p_\\\\theta(x)\\\\}$ we know that $\\\\lim_{\\\\theta'\\\\to\\\\theta}\\\\frac{1}{(\\\\theta-\\\\theta')^2}D(p_\\\\theta||p_{\\\\theta'}) = \\\\alpha J(\\\\theta)$, where $J(\\\\theta)$ is the Fisher information. Use natural logarithm for KL divergence to compute $\\\\alpha$.\",\"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":[]}