{"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":"715d9dba-6f75-57c8-8449-0ffc4f8fdb42","task_key":"default--test--10646","task_revision_id":"1","upstream_id":"10646","short_description":"Consider an additive white Gaussian noise channel with an expected output power…","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['0.25', '2', '4', '0.75', '1', '0.5', '1.75', '3', '2.5', '1.5']\",\"question\":\"Consider an additive white Gaussian noise channel with an expected output power constraint $P=2$. Thus $Y = X + Z$, $Z \\\\sim N(0, 1)$, $Z$ is independent of $X$, and $E(Y)^2 \\\\leq 2$. Find the channel capacity in bits.\",\"src\":\"theoremQA-EECS\"}","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":[]}