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license: cc-by-4.0
---
# V2M Dataset: A Large-Scale Video-to-Music Dataset 🎶
**The V2M dataset is proposed in the [VidMuse project](https://vidmuse.github.io/), aimed at advancing research in video-to-music generation.**
## ✨ Dataset Overview
The V2M dataset comprises 360K pairs of videos and music, covering various types including movie trailers, advertisements, and documentaries. This dataset provides researchers with a rich resource to explore the relationship between video content and music generation.
## 🛠️ Usage Instructions
- Download the dataset:
```bash
git clone https://huggingface.co/datasets/Zeyue7/V2M
```
- Dataset structure:
```
V2M/
├── V2M.txt
├── V2M-20k.txt
└── V2M-bench.txt
```
## 🎯 Citation
If you use the V2M dataset in your research, please consider citing:
```
@article{tian2024vidmuse,
title={Vidmuse: A simple video-to-music generation framework with long-short-term modeling},
author={Tian, Zeyue and Liu, Zhaoyang and Yuan, Ruibin and Pan, Jiahao and Liu, Qifeng and Tan, Xu and Chen, Qifeng and Xue, Wei and Guo, Yike},
journal={arXiv preprint arXiv:2406.04321},
year={2024}
}
```
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