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---
task_categories:
- any-to-any
license: mit
---
<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://huggingface.co/papers/2505.04620">[📄 Paper]</a>
<a href="https://huggingface.co/General-Level">[🤗 Dataset-HF]</a>
<a href="https://github.com/path2generalist/GeneralBench">[📝 Dataset-Github]</a>
</p>
</div>
---
We divide our benchmark into two settings: **`open`** and **`closed`**.
This is the **`open benchmark`** of Generalist-Bench, where we release the full ground-truth annotations for all datasets.
It allows researchers to train and evaluate their models with access to the answers.
If you wish to thoroughly evaluate your model's performance, please use the
[👉 closed benchmark](https://huggingface.co/datasets/General-Level/General-Bench-Closeset), which comes with detailed usage instructions.
Final results will be updated on the [🏆 Leaderboard](https://level.generalist.top).
<!-- This is the **`Closed benchmark`** of Generalist-Bench, where we release only the question annotations—**without ground-truth answers**—for all datasets.
You can follow the detailed [usage](#-usage) instructions to submit the resuls generate by your own model.
Final results will be updated on the [🏆 Leaderboard](https://level.generalist.top).
If you’d like to train or evaluate your model with access to the full answers, please check out the [👉 open benchmark](https://huggingface.co/datasets/General-Level/General-Bench-Openset), where all ground-truth annotations are provided. -->
---
## 📕 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
│ |