--- dataset_info: features: - name: id dtype: string - name: type dtype: string - name: source_type dtype: string - name: source dtype: string - name: question dtype: string - name: option1 dtype: string - name: option2 dtype: string - name: option3 dtype: string - name: option4 dtype: string - name: image_1 dtype: image - name: image_2 dtype: image - name: image_3 dtype: image - name: image_4 dtype: image - name: image_5 dtype: image - name: answer dtype: string - name: analysis dtype: string - name: distribution dtype: string - name: difficulty_level dtype: string - name: subcategory dtype: string - name: category dtype: string - name: subfield dtype: string - name: img_type dtype: string - name: image_1_filename dtype: string - name: image_2_filename dtype: string - name: image_3_filename dtype: string - name: image_4_filename dtype: string - name: image_5_filename dtype: string splits: - name: dev num_bytes: 13180933.0 num_examples: 112 - name: val num_bytes: 95817884.0 num_examples: 900 - name: test num_bytes: 3146080167.0 num_examples: 11000 download_size: 1297435382 dataset_size: 3255078984.0 configs: - config_name: default data_files: - split: dev path: data/dev-* - split: val path: data/val-* - split: test path: data/test-* ---

# 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}, } ```