README.md

---
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  splits:
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    num_examples: 112
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configs:
- config_name: default
  data_files:
  - split: dev
    path: data/dev-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
---


<p align="center" width="100%">
<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png"  width="100%" height="80%">
</p>

# Large-scale Multi-modality Models Evaluation Suite

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

🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab)

# This Dataset

This is a formatted version of [CMMMU](https://cmmmu-benchmark.github.io/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@article{zhang2024cmmmu,
        title={CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark},
        author={Ge, Zhang and Xinrun, Du and Bei, Chen and Yiming, Liang and Tongxu, Luo and Tianyu, Zheng and Kang, Zhu and Yuyang, Cheng and Chunpu, Xu and Shuyue, Guo and Haoran, Zhang and Xingwei, Qu and Junjie, Wang and Ruibin, Yuan and Yizhi, Li and Zekun, Wang and Yudong, Liu and Yu-Hsuan, Tsai and Fengji, Zhang and Chenghua, Lin and Wenhao, Huang and Wenhu, Chen and Jie, Fu},
        journal={arXiv preprint arXiv:2401.20847},
        year={2024},
      }
```