| --- |
| license: cc-by-nc-sa-4.0 |
| tags: |
| - music |
| - AIGC |
| - art |
| language: |
| - en |
| size_categories: |
|
|
| - 10K<n<100K |
| --- |
| # Dataset Card for LORIS |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** [LORIS](https://justinyuu.github.io/LORIS) |
| - **Repository:** [OpenGVLab-LORIS](https://github.com/OpenGVLab/LORIS) |
| - **Paper:** [2305.01319](https://arxiv.org/pdf/2305.01319.pdf) |
| - **Point of Contact:** [Jiashuo Yu](mailto:yujiashuo@pjlab.org.cn) |
|
|
| ### Dataset Summary |
|
|
| 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). |
|
|
| ### Get Started |
|
|
| from datasets import load_dataset |
| dataset = load_dataset("OpenGVLab/LORIS") |
| |
|
|
| ### Citation Information |
|
|
| @inproceedings{Yu2023Long, |
| title={Long-Term Rhythmic Video Soundtracker}, |
| author={Yu, Jiashuo and Wang, Yaohui and Chen, Xinyuan and Sun, Xiao and Qiao, Yu }, |
| booktitle={International Conference on Machine Learning (ICML)}, |
| year={2023} |
| } |
| |
