HKUSTAudio/VidMuse-V2M-Dataset

V2M Dataset: A Large-Scale Video-to-Music Dataset 🎶

The V2M dataset is proposed in the VidMuse project, 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:

  git clone https://huggingface.co./datasets/HKUSTAudio/VidMuse-V2M-Dataset
  

• 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}
}