{"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":"d5502d3c-d009-525f-afa6-d32e09cf4dc4","task_key":"all--test--d5502d3c-d009-525f-afa6-d32e09cf4dc4","task_revision_id":"1","upstream_id":"","short_description":"To compute the matrix product M_1M_2, where M_1 has p rows and q columns and…","config":"all","split":"test","body":"{\"choices\":\"['There is no such condition; i.e., they will always take the same time.', '1/x + 1/z < 1/w + 1/y', 'x > y', '1/w + 1/x < 1/y + 1/z']\",\"question\":\"To compute the matrix product M_1M_2, where M_1 has p rows and q columns and where M_2 has q rows and r columns, takes time proportional to pqr, and the result is a matrix of p rows and r columns. Consider the product of three matrices N_1N_2N_3 that have, respectively, w rows and x columns, x rows and y columns, and y rows and z columns. Under what condition will it take less time to compute the product as (N_1N_2)N_3 (i.e., multiply the first two matrices first) than to compute it as N_1(N_2 N_3)?\",\"subject\":\"college_computer_science\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/hendrycks/test","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}