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Dataset · Hugging Face

tasksource/mmlu

MMLU (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.

Author / organizationtasksource
License (as declared)apache-2.0
Downloads42.7K (as reported by Hugging Face)
Likes37
Created1 February 2023
Last updated at source18 July 2025
multi-taskmultitaskmmluhendrycks_test
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