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MMMU-Pro
Multimodal
MMMU-Pro evaluates multimodal understanding across academic disciplines using images and text. The official card lists 1,730 questions per setting, separating four-option and ten-option standard settings from the vision setting.
The MMMU research team released MMMU-Pro in 2024 as a more demanding evaluation of multimodal understanding across academic disciplines. It extends the MMMU evaluation family with distinct standard and vision settings. The dataset recorded here was published by the MMMU organization on Hugging Face in August 2024.
At a glance
Metric
accuracy over multiple-choice questions (dataset card)
Size
1,730 questions per setting described in the catalog introduction; this standard (10 options) / test selection expects 200 task records with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
Released
Dataset published on Hugging Face 2024-08
Maintainer
MMMU (Hugging Face organisation)
Answer access
Answer and explanation fields, when supplied, remain in restricted storage, separate from question fields and image assets.
What a problem looks like
Image-and-text questions. The selected standard (10 options) import accepts scalar question, options, subject, and img_type fields, and extracts supplied image_1 through image_7 as image assets.
For the 200 imported problems, the source ships an answer with every problem; this catalogue keeps it in restricted storage and never renders it. Questions are multiple choice, including a vision-only setting where the question is embedded in a screenshot.
Metric: accuracy over multiple-choice questions (dataset card)
Why it is hard
Requires multimodal understanding across academic disciplines using images and text.
Limitations and criticism
Multiple-choice accuracy measures answer selection rather than the quality of a free-form explanation or the ability to carry out an academic workflow. The official card distinguishes four-option and ten-option standard settings from a vision setting in which the question is embedded in a screenshot; these are different evaluation conditions. Scores from these settings should not be pooled or compared as though their input and answer spaces were identical. The catalog's 200-task import from the ten-option setting is also smaller than the 1,730 questions per setting described by the official card.
@article{yue2024mmmu,
title={MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark},
author={Xiang Yue and Tianyu Zheng and Yuansheng Ni and Yubo Wang and Kai Zhang and Shengbang Tong and Yuxuan Sun and Botao Yu and Ge Zhang and Huan Sun and Yu Su and Wenhu Chen and Graham Neubig},
journal={arXiv preprint arXiv:2409.02813},
year={2024}
}
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