README.md

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<img src='https://cdn-uploads.huggingface.co/production/uploads/647773a1168cb428e00e9a8f/N8lP93rB6lL3iqzML4SKZ.png'  width=100px>

<h1 align="center"><b>On Path to Multimodal Generalist: General-Level and General-Bench</b></h1>
<p align="center">
<a href="https://generalist.top/">[📖 Project]</a>
<a href="https://generalist.top/leaderboard">[🏆 Leaderboard]</a>
<a href="https://arxiv.org/abs/2505.04620">[📄 Paper]</a>
<a href="https://huggingface.co/papers/2505.04620">[🤗 Paper-HF]</a>
<a href="https://huggingface.co/General-Level/General-Bench-Closeset">[🤗 Dataset-HF (Close-Set)]</a>
<a href="https://huggingface.co/General-Level/General-Bench-Openset">[🤗 Dataset-HF (Open-Set)]</a>
<a href="https://github.com/path2generalist/General-Level">[📝 Github]</a>
</p>

<h1 align="center" style="color: red">Open Set of General-Bench</h1>

</div>


---
We divide our `General-Bench` into two settings: **`Open`** and **`Close`**.

This is the **`Open Set`**, where we release the full ground-truth annotations for all datasets, allowing to train and evaluate models for open research purpose.

If you wish to rank on our [🏆 `leaderboard`](https://generalist.top/leaderboard), please use the [👉 **`Close Set`**](https://huggingface.co/datasets/General-Level/General-Bench-Closeset).








---

##  📕 Table of Contents

- [✨ File Origanization Structure](#filestructure)
- [🍟 Usage](#usage)
- [🌐 General-Bench](#bench)
  - [🍕 Capabilities and Domians Distribution](#distribution)
- [🖼️ Image Task Taxonomy](#imagetaxonomy)
- [📽️ Video Task Taxonomy](#videotaxonomy)
- [📞 Audio Task Taxonomy](#audiotaxonomy)
- [💎 3D Task Taxonomy](#3dtaxonomy)
- [📚 Language Task Taxonomy](#languagetaxonomy)





---
 
<span id='filestructure'/>

# ✨✨✨ **File Origanization Structure**

Here is the organization structure of the file system:

```
General-Bench
├── Image
│   ├── comprehension
│   │   ├── Bird-Detection
│   │   │   ├── annotation.json
│   │   │   └── images
│   │   │       └── Acadian_Flycatcher_0070_29150.jpg
│   │   ├── Bottle-Anomaly-Detection
│   │   │   ├── annotation.json
│   │   │   └── images
│   │   └── ...
│   └── generation
│       └── Layout-to-Face-Image-Generation
│           ├── annotation.json
│           └── images
│           └── ...
├── Video
│   ├── comprehension
│   │   └── Human-Object-Interaction-Video-Captioning
│   │       ├── annotation.json
│   │       └── videos
│   │       └── ...
│   └── generation
│       └── Scene-Image-to-Video-Generation
│           ├── annotation.json
│           └── videos
│           └── ...
├── 3d
│   ├── comprehension
│   │   └── 3D-Furniture-Classification
│   │       ├── annotation.json
│   │       └── pointclouds
│   │       └── ...
│   └── generation
│       └── Text-to-3D-Living-and-Arts-Point-Cloud-Generation
│           ├── annotation.json
│           └── pointclouds
│           └── ...
├── Audio
│   ├── comprehension
│   │   └── Accent-Classification
│   │       ├── annotation.json
│   │       └── audios
│   │       └── ...
│   └── generation
│       └── Video-To-Audio
│           ├── annotation.json
│           └── audios
│           └── ...
├── NLP
│   ├── History-Question-Answering
│   │   └── annotation.json
│   ├── Abstractive-Summarization
│   │   └── annotation.json
│   └── ...

```


An illustrative example of file formats:


![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/RD3b7Jwu0dftVq-4KbpFr.png)


<span id='usage'/>

## 🍟🍟🍟 Usage 


Please download all the files in this repository. We also provide overview.json, which is an example of the format of our dataset.

For more instructions, please go to the [document page](https://generalist.top/document).




---





<span id='bench'/>



# 🌐🌐🌐 **General-Bench** 




A companion  massive multimodal benchmark dataset, encompasses a broader spectrum of skills, modalities, formats, and capabilities, including over **`700`** tasks and **`325K`** instances. 

<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/647773a1168cb428e00e9a8f/d4TIWw3rlWuxpBCEpHYJB.jpeg'>
<p> Overview of General-Bench, which covers 145 skills for more than 700 tasks with over 325,800 samples under
comprehension and generation categories in various modalities</p>
</div>


<span id='distribution'/>

## 🍕🍕🍕 Capabilities and Domians Distribution

<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/fF3iH95B3QEBvJYwqzZVG.png'>
<p> Distribution of various capabilities evaluated in General-Bench.</p>
</div>


<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/wQvllVeK-KC3Edp8Zjh-V.png'>
<p>Distribution of various domains and disciplines covered by General-Bench.</p>
</div>





<span id='imagetaxonomy'/>

# 🖼️ Image Task Taxonomy
<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/2QYihQRhZ5C9K5IbukY7R.png'>
<p>Taxonomy and hierarchy of data in terms of Image modality.</p>
</div>




<span id='videotaxonomy'/>

# 📽️ Video Task Taxonomy

<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/A7PwfW5gXzstkDH49yIG5.png'>
<p>Taxonomy and hierarchy of data in terms of Video modality.</p>
</div>









<span id='audiotaxonomy'/>

# 📞 Audio Task Taxonomy



<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/e-QBvBjeZy8vmcBjAB0PE.png'>
<p>Taxonomy and hierarchy of data in terms of Audio modality.</p>
</div>



<span id='3dtaxonomy'/>

# 💎 3D Task Taxonomy


<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/EBXb-wyve14ExoLCgrpDK.png'>
<p>Taxonomy and hierarchy of data in terms of 3D modality.</p>
</div>




<span id='languagetaxonomy'/>

# 📚 Language Task Taxonomy

<div align="center">
<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/FLfk3QGdYb2sgorKTj_LT.png'>
<p>Taxonomy and hierarchy of data in terms of Language modality.</p>
</div>




---




# 🚩🚩🚩 **Citation**

If you find this project useful to your research, please kindly cite our paper:

```
@articles{fei2025pathmultimodalgeneralistgenerallevel,
  title={On Path to Multimodal Generalist: General-Level and General-Bench},
  author={Hao Fei and Yuan Zhou and Juncheng Li and Xiangtai Li and Qingshan Xu and Bobo Li and Shengqiong Wu and Yaoting Wang and Junbao Zhou and Jiahao Meng and Qingyu Shi and Zhiyuan Zhou and Liangtao Shi and Minghe Gao and Daoan Zhang and Zhiqi Ge and Weiming Wu and Siliang Tang and Kaihang Pan and Yaobo Ye and Haobo Yuan and Tao Zhang and Tianjie Ju and Zixiang Meng and Shilin Xu and Liyu Jia and Wentao Hu and Meng Luo and Jiebo Luo and Tat-Seng Chua and Shuicheng Yan and Hanwang Zhang},
  eprint={2505.04620},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
  url={https://arxiv.org/abs/2505.04620},
}
```