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README.md

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+<div align="center">
+<img src='https://cdn-uploads.huggingface.co/production/uploads/647773a1168cb428e00e9a8f/N8lP93rB6lL3iqzML4SKZ.png'  width=100px>
+
+<h1 align="center"><b>On Path to Multimodal Generalist: Levels and Benchmarks</b></h1>
+<p align="center">
+<a href="https://generalist.top/">[📖 Project]</a>
+<a href="https://level.generalist.top">[🏆 Leaderboard]</a>
+<a href="https://xxxxx">[📄 Paper]</a>
+<a href="https://huggingface.co/General-Level">[🤗 Dataset-HF]</a>
+<a href="https://github.com/path2generalist/GeneralBench">[📝 Dataset-Github]</a>
+</p>
+
 ---
-license: apache-2.0
+</div>
+
+
+
 ---
+## 🌐🌐🌐 **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>Figure: 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>
+
+
+<div align="center">
+<img src='https://cdn-uploads.huggingface.co/production/uploads/64c139d867eff857ea51caa8/fF3iH95B3QEBvJYwqzZVG.png'>
+<p> Figure: 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>Figure: Distribution of various domains and disciplines covered by General-Bench.</p>
+</div>
+
+
+
+
+---
+
+
+## ✨✨✨ **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)
+
+
+
+## Usage
+
+Please download all the files in this repository. We also provide overview.json, which is an example of the format of our dataset.
+
+xxxx
+
+
+
+## 🚩 **Citation**
+
+If you find our benchmark useful in your research, please kindly consider citing us:
+
+```
+@article{generalist2025,
+  title={On Path to Multimodal Generalist: Levels and Benchmarks},
+  author={Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Hanwang Zhang, Shuicheng YAN},
+  journal={arXiv},
+  year={2025}
+}
+```