{"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":"46ea4a83-12a1-5d39-bdb0-dcf8ecf1e48c","task_key":"all--test--46ea4a83-12a1-5d39-bdb0-dcf8ecf1e48c","task_revision_id":"1","upstream_id":"","short_description":"You are training a linear regression model for a simple estimation task, and…","config":"all","split":"test","body":"{\"choices\":\"['Bias increase ; Variance increase', 'Bias increase ; Variance decrease', 'Bias decrease ; Variance increase', 'Bias decrease ; Variance decrease']\",\"question\":\"You are training a linear regression model for a simple estimation task, and notice that the model is overfitting to the data. You decide to add in $\\\\ell_2$ regularization to penalize the weights. As you increase the $\\\\ell_2$ regularization coefficient, what will happen to the bias and variance of the model?\",\"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":[]}