{"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":"6eefddad-47a5-574d-9e8d-08277623330d","task_key":"default--test--10662","task_revision_id":"1","upstream_id":"10662","short_description":"Statement 1| The kernel density estimator is equivalent to performing kernel…","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['Both Statements are context-dependent', 'True, True', 'Statement 1 is True only for non-parametric Kernels, Statement 2 is False', 'Both Statements are partially True', 'False, False', 'Statement 1 is True only for Gaussian Kernels, Statement 2 is False', 'Statement 1 is False, Statement 2 is True only for Binary Decision Trees', 'False, True', 'True, False', 'Statement 1 is False, Statement 2 is True only for Multiclass Decision Trees']\",\"question\":\"Statement 1| The kernel density estimator is equivalent to performing kernel regression with the value Yi = 1/n at each point Xi in the original data set. Statement 2| The depth of a learned decision tree can be larger than the number of training examples used to create the tree.\",\"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":[]}