Dataset · Hugging Face

TIGER-Lab/MMLU-Pro

Name: MMLU-Pro
Creator: TIGER-Lab
License: mit
Keywords: benchmark:official, benchmark:eval-yaml, task_categories:question-answering, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2406.01574, doi:10.57967/hf/2439

MMLU-Pro Dataset MMLU-Pro dataset is a more robust and challenging massive multi-task understanding dataset tailored to more rigorously benchmark large language models' capabilities. This dataset contains 12K complex questions across various disciplines. |Github | 🏆Leaderboard | 📖Paper | 🚀 What's New [2026.03.11] Added more cutting-edge frontier models to the leaderboard, including the Claude-4.6 series, Seed2.0 series, Qwen3.5 series, and Gemini-3.1-Pro… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro.

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Author / organization	TIGER-Lab
License (as declared)	mit
Downloads	226.2K (as reported by Hugging Face)
Likes	568
Created	8 May 2024
Last updated at source	2 May 2026

evaluation

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