{"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":"5333e5d0-1677-5937-9467-5c032420abc2","task_key":"default--test--10627","task_revision_id":"1","upstream_id":"10627","short_description":"As of 2020, which architecture is best for classifying high-resolution images?","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['graph networks', 'Autoencoders', 'convolutional networks', 'fully connected networks', 'Long Short-Term Memory Networks', 'Support Vector Machine', 'Deep Belief Networks', 'RBF networks', 'Recurrent Neural Networks', 'Radial Basis Function Networks']\",\"question\":\"As of 2020, which architecture is best for classifying high-resolution images?\",\"src\":\"ori_mmlu-machine_learning\"}","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":[]}