| --- |
| dataset_info: |
| features: |
| - name: question_id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: question |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: image_source |
| dtype: string |
| - name: capability |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 77298608.0 |
| num_examples: 218 |
| download_size: 67180444 |
| dataset_size: 77298608.0 |
| configs: |
| - config_name: default |
| data_files: |
| - 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 [MM-Vet](https://github.com/yuweihao/MM-Vet). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. |
|
|
| ``` |
| @misc{yu2023mmvet, |
| title={MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities}, |
| author={Weihao Yu and Zhengyuan Yang and Linjie Li and Jianfeng Wang and Kevin Lin and Zicheng Liu and Xinchao Wang and Lijuan Wang}, |
| year={2023}, |
| eprint={2308.02490}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.AI} |
| } |
| ``` |
