Unverified60% confidenceBenchmarkExact time
MMLU covers 57 subjects and nearly 16,000 multiple-choice questions; HumanEval was developed by OpenAI and contains 164 programming problems; GSM8K contains 8,500 elementary school math word problems.
2
Sources
60%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedHumanEval consists of 164 Python programming problems, and GSM8K contains 8,500 elementary school math word problems.75% similarVerifiedMMLU contains approximately 15,000 multiple-choice questions across 57 subjects, covering knowledge from high school to graduate level74% similarVerifiedMMLU (Massive Multitask Language Understanding) covers multiple-choice questions across 57 subjects, testing the breadth and depth of a model's knowledge from humanities and social sciences to STEM.73% similarUnverifiedMMLU was proposed in 2020 by Dan Hendrycks and others at the University of California, Berkeley, covering 57 subject areas and approximately 15,000 multiple-choice questions.69% similarVerifiedGSM8K, released by OpenAI, contains approximately 8,500 elementary school math word problems designed to test multi-step reasoning ability64% similar
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