metadata

task_categories:
  - any-to-any
license: mit

On Path to Multimodal Generalist: Levels and Benchmarks

[📖 Project] [🏆 Leaderboard] [📄 Paper] [🤗 Dataset-HF] [📝 Dataset-Github]

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, which comes with detailed usage instructions.

Final results will be updated on the 🏆 Leaderboard.

📕 Table of Contents

✨ File Origanization Structure
🍟 Usage
🌐 General-Bench
- 🍕 Capabilities and Domians Distribution
🖼️ Image Task Taxonomy
📽️ Video Task Taxonomy
📞 Audio Task Taxonomy
💎 3D Task Taxonomy
📚 Language Task Taxonomy

✨✨✨ 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
│