|
--- |
|
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} |
|
} |
|
``` |
