lmms-lab/MMMU

Dataset

7

stars

4

commits

2

linked in READMEs

Mar 8, 2024

updated

Browse cluster: Multimodal Document and Visual Understanding

README

This is a merged version of MMMU/MMMU with all subsets concatenated.

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets

This Dataset

This is a formatted version of MMMU. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@article{yue2023mmmu,
  title={Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi},
  author={Yue, Xiang and Ni, Yuansheng and Zhang, Kai and Zheng, Tianyu and Liu, Ruoqi and Zhang, Ge and Stevens, Samuel and Jiang, Dongfu and Ren, Weiming and Sun, Yuxuan and others},
  journal={arXiv preprint arXiv:2311.16502},
  year={2023}
}

Contributors

PY007

3 commits

luodian

1 commits

lmms-lab/MMMU

Dataset

7

stars

4

commits

2

linked in READMEs

Mar 8, 2024

updated

Browse cluster: Multimodal Document and Visual Understanding

README

This is a merged version of MMMU/MMMU with all subsets concatenated.

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets

This Dataset

This is a formatted version of MMMU. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@article{yue2023mmmu,
  title={Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi},
  author={Yue, Xiang and Ni, Yuansheng and Zhang, Kai and Zheng, Tianyu and Liu, Ruoqi and Zhang, Ge and Stevens, Samuel and Jiang, Dongfu and Ren, Weiming and Sun, Yuxuan and others},
  journal={arXiv preprint arXiv:2311.16502},
  year={2023}
}

Contributors

PY007

3 commits

luodian

1 commits