metadata
license: cc-by-4.0
task_categories:
- video-to-audio
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. See the paper VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling for more details.
✨ 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/Zeyue7/V2MDataset 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}
}