VidMuse-V2M-Dataset
收藏魔搭社区2025-12-18 更新2025-03-08 收录
下载链接:
https://modelscope.cn/datasets/HKUSTAudio/VidMuse-V2M-Dataset
下载链接
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资源简介:
# 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/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}
}
```
# V2M数据集:大规模视频转音乐数据集 🎶
**V2M数据集由[VidMuse项目](https://vidmuse.github.io/)提出,旨在推动视频转音乐生成(video-to-music generation)领域的研究进展。**
## ✨ 数据集概览
V2M数据集包含36万组音视频配对数据,涵盖电影预告片、广告片、纪录片等多种类型。该数据集为研究人员探索视频内容与音乐生成之间的关联提供了丰富的资源支撑。
## 🛠️ 使用说明
- 数据集下载:
bash
git clone https://huggingface.co/datasets/HKUSTAudio/VidMuse-V2M-Dataset
- 数据集目录结构:
V2M/
├── V2M.txt
├── V2M-20k.txt
└── V2M-bench.txt
## 🎯 引用说明
若您在研究中使用V2M数据集,请引用以下文献:
@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}
}
提供机构:
maas
创建时间:
2025-03-02
搜集汇总
数据集介绍

背景与挑战
背景概述
VidMuse-V2M-Dataset是一个包含36万对视频和音乐的大规模数据集,涵盖多种视频类型,旨在支持视频到音乐生成的研究。数据集由HKUSTAudio团队维护,采用Apache License 2.0许可。
以上内容由遇见数据集搜集并总结生成



