README.md

---
language:
- hy
- ga
- en
dataset_info:
  features:
  - name: answer
    dtype: string
  - name: choice_a
    dtype: string
  - name: choice_b
    dtype: string
  - name: choice_c
    dtype: string
  - name: choice_d
    dtype: string
  - name: data_id
    sequence: string
  - name: data_type
    dtype: string
  - name: data_source
    dtype: string
  - name: level
    dtype: string
  - name: question
    dtype: string
  - name: question_id
    dtype: string
  - name: question_type_id
    dtype: int16
  - name: subpart
    dtype: string
  - name: version
    dtype: string
  - name: captions-sharecaptioner
    dtype: string
  - name: captions-llava
    dtype: string
  - name: captions-phi
    dtype: string
  splits:
  - name: test
    num_bytes: 72823903
    num_examples: 24371
  download_size: 29541033
  dataset_size: 72823903
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 [SEED-Bench-2](https://github.com/AILab-CVC/SEED-Bench). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@article{li2023seed2,
  title={SEED-Bench-2: Benchmarking Multimodal Large Language Models},
  author={Li, Bohao and Ge, Yuying and Ge, Yixiao and Wang, Guangzhi and Wang, Rui and Zhang, Ruimao and Shan, Ying},
  journal={arXiv preprint arXiv:2311.17092},
  year={2023}
  }
```