{"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":"b3663e1f-626f-5123-8bd2-cff0aede0765","task_key":"default--test--8440","task_revision_id":"1","upstream_id":"8440","short_description":"Data were collected on two variables X and Y and a least squares regression line…","config":"default","split":"test","body":"{\"category\":\"math\",\"options\":\"['1.70', '–0.21', '-6.21', '-5.00', '–1.70', '-7.91', '5.00', '7.91', '0.21', '6.21']\",\"question\":\"Data were collected on two variables X and Y and a least squares regression line was fitted to the data. The estimated equation for this data is y = –2.29 + 1.70x. One point has x = 5, y = 6. What is the residual for this point?\",\"src\":\"ori_mmlu-high_school_statistics\"}","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":[]}