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---
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license: cc-by-4.0
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---
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# V2M Dataset: A Large-Scale Video-to-Music Dataset 🎶
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**The V2M dataset is proposed in the [VidMuse project](https://vidmuse.github.io/), aimed at advancing research in video-to-music generation.**
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## ✨ Dataset Overview
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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.
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## 🛠️ Usage Instructions
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- Download the dataset:
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```bash
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git clone https://huggingface.co/datasets/Zeyue7/V2M
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```
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- Dataset structure:
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```
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V2M/
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├── V2M.txt
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├── V2M-20k.txt
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└── V2M-bench.txt
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```
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## 🎯 Citation
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If you use the V2M dataset in your research, please consider citing:
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```
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@article{tian2024vidmuse,
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title={Vidmuse: A simple video-to-music generation framework with long-short-term modeling},
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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},
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journal={arXiv preprint arXiv:2406.04321},
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year={2024}
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}
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```
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