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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- music |
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- AIGC |
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- art |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for LORIS |
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## Dataset Description |
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- **Homepage:** [LORIS](https://justinyuu.github.io/LORIS) |
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- **Repository:** [OpenGVLab-LORIS](https://github.com/OpenGVLab/LORIS) |
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- **Paper:** [2305.01319](https://arxiv.org/pdf/2305.01319.pdf) |
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- **Point of Contact:** [Jiashuo Yu](mailto:yujiashuo@pjlab.org.cn) |
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### Dataset Summary |
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LORIS dataset is a large-scale rhythmic video soundtrack dataset that includes 86.43h long-term, high-quality raw videos with corresponding 2D poses, RGB features, and ameliorated audio waveforms. This dataset is originally used for the video background music generation task (a.k.a. video soundtracks). |
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### Get Started |
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from datasets import load_dataset |
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dataset = load_dataset("OpenGVLab/LORIS") |
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### Citation Information |
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@inproceedings{Yu2023Long, |
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title={Long-Term Rhythmic Video Soundtracker}, |
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author={Yu, Jiashuo and Wang, Yaohui and Chen, Xinyuan and Sun, Xiao and Qiao, Yu }, |
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booktitle={International Conference on Machine Learning (ICML)}, |
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year={2023} |
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} |
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