MMLU
llama3-70b-instruct-mmlu-college-medicine-en-GGUFllama3-70b-instruct-mmlu-college-medicine-af-mmlu-good-GGUFL3.1-SemiEvol-MMLUPro-8B-i1-GGUFllama2_70b_mmlu-GGUFL3.1-SemiEvol-MMLUPro-8B-GGUFvicuna-mmlu-val-only-correct-mcq-7b-ep2-GGUFcoe-gemma4-engineering-mmlu_pro-14b-a4b-q4coe-gemma4-law-mmlu_pro-14b-a4b-q4
Datasets
All datasets matching “MMLU”mmlu
Dataset Card for MMLU
Dataset Summary
Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021).
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57… See the full description on the dataset page: https://huggingface.co/datasets/cais/mmlu.MMLU-Pro
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.mmlu_no_trainThis dataset contains a copy of the cais/mmlu HF dataset but without the auxiliary_train split that takes a long time to generate again each time when loading multiple subsets of the dataset.
Please visit https://huggingface.co/datasets/cais/mmlu for more information on the MMLU dataset.
mmluMMLU (hendrycks_test on huggingface) without auxiliary train. It is much lighter (7MB vs 162MB) and faster than the original implementation, in which auxiliary train is loaded (+ duplicated!) by default for all the configs in the original version, making it quite heavy.
We use this version in tasksource.
Reference to original dataset:
Measuring Massive Multitask Language Understanding - https://github.com/hendrycks/test
@article{hendryckstest2021,
title={Measuring Massive Multitask Language… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/mmlu.mmlu-redux-2.0
Dataset Card for MMLU-Redux-2.0
MMLU-Redux is a subset of 5,700 manually re-annotated questions across 57 MMLU subjects.
News
[2025.02.25] We corrected one annotation in Abstract Algebra subset, as noted in the Issue #2.
[2025.02.08] We corrected one annotation in High School Mathematics subset, as noted in the PlatinumBench paper.
[2025.01.23] MMLU-Redux is accepted to NAACL 2025!
Dataset Details
Dataset Description
Each data point in… See the full description on the dataset page: https://huggingface.co/datasets/edinburgh-dawg/mmlu-redux-2.0.mmlu-prox-eval-predictions
MMLU-ProX Multilingual Model Predictions
Raw per-sample model predictions on MMLU-ProX
across 29 languages and 25 open-weight LLMs, produced with
lm-evaluation-harness.
This dataset releases the full prediction logs (not just aggregate scores) so that
item-level responses can be re-analysed — e.g. for Item Response Theory (IRT) modelling
of multilingual benchmarks, error analysis, or per-item difficulty estimation.
Repository structure
mmlu_prox_<lang>/
└──… See the full description on the dataset page: https://huggingface.co/datasets/gililior/mmlu-prox-eval-predictions.