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MMMU

Multimodal

MMMU collects 11,500 college-level questions across six disciplines and thirty subjects, each carrying figures, diagrams or images that have to be read as well as reasoned over. MMMU-Pro is its tightened revision.

mmmu

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Official source

Overview only: problem text has not been published on this site; the catalogue records the benchmark introduction, category and official source.

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Catalogue status: Not imported on this site

Reference links

Issues

Dataset discussions

Paper

arXiv:2311.16502

Dataset

Source dataset

Site

Official site

At a glance

Size: 11,500 questions in the source; none imported.
License: apache-2.0 (declared on the Hugging Face dataset card)
Released: Dataset published on Hugging Face 2023-11
Maintainer: MMMU (source organisation)
Answer access: No problem text is imported, so there is no answer storage for this entry. The source distributes the answers under its own terms.

What a problem looks like

A question with several images or diagrams and a set of options.

How it is scored

The source ships the answer; nothing is imported here.

Why it is hard

The figures carry information the text does not repeat, so a model that reads only the question is answering a different, easier question.

Cite

@article{yue2023mmmu,
  title={MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI},
  author={Xiang Yue and Yuansheng Ni and Kai Zhang and Tianyu Zheng and Ruoqi Liu and Ge Zhang and Samuel Stevens and Dongfu Jiang and Weiming Ren and Yuxuan Sun and Cong Wei and Botao Yu and Ruibin Yuan and Renliang Sun and Ming Yin and Boyuan Zheng and Zhenzhu Yang and Yibo Liu and Wenhao Huang and Huan Sun and Yu Su and Wenhu Chen},
  journal={arXiv preprint arXiv:2311.16502},
  year={2023}
}

Discussion

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Public problem summary

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