{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"mmlu","formal_name":"MMLU","introduction":"MMLU asks four-way multiple-choice questions across 57 subjects, from elementary material to professional-level examinations. Since 2020 it has been the most widely cited single reference point for general capability.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/hendrycks/test","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":"b5ae74ce-290f-5b95-a50b-793c1c899777","task_key":"all--test--b5ae74ce-290f-5b95-a50b-793c1c899777","task_revision_id":"1","upstream_id":"","short_description":"Which one of the following is the main reason for pruning a Decision Tree?","config":"all","split":"test","body":"{\"choices\":\"['To save computing time during testing', 'To save space for storing the Decision Tree', 'To make the training set error smaller', 'To avoid overfitting the training set']\",\"question\":\"Which one of the following is the main reason for pruning a Decision Tree?\",\"subject\":\"machine_learning\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/hendrycks/test","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}