| | --- |
| | license: cc-by-nc-nd-4.0 |
| | task_categories: |
| | - text-to-audio |
| | size_categories: |
| | - 1M<n<10M |
| | pretty_name: AudioX-IFcaps |
| | --- |
| | |
| |
|
| |
|
| | # [ICLR 2026] AudioX-IFcaps: Instruction-Following Audio Caption Dataset |
| |
|
| | <a href="https://zeyuet.github.io/AudioX/" target="_blank"><img src="https://img.shields.io/badge/🌐%20Project%20Page-blue" alt="Project Page"></a> |
| | <a href="https://github.com/ZeyueT/AudioX" target="_blank"><img src="https://img.shields.io/badge/💻%20GitHub-ffffff?logo=github&logoColor=181717" alt="GitHub"></a> |
| | <a href="https://arxiv.org/pdf/2503.10522" target="_blank"><img src="https://img.shields.io/badge/📄%20Paper-ICLR%202026-red" alt="Paper"></a> |
| |
|
| | **AudioX-IFcaps** (Instruction-Following) is a large-scale, high-quality multimodal dataset designed for training unified audio and music generation models. The dataset contains over **7 million samples** with fine-grained, structured annotations that enable precise control over audio generation, including sound event categories, counts, temporal ordering, and timestamps. |
| |
|
| | ## 📊 Dataset Statistics |
| |
|
| | - **General Audio**: ~1.3m 10-second video-audio clips |
| | - **Music**: ~5.7m 10-second video-music clips |
| | - **Total Duration**: ~16k hours of audio content |
| |
|
| | ## 📝 Citation |
| |
|
| | If you use this dataset in your research, please cite: |
| |
|
| | ```bibtex |
| | @article{tian2025audiox, |
| | title={Audiox: Diffusion transformer for anything-to-audio generation}, |
| | author={Tian, Zeyue and Jin, Yizhu and Liu, Zhaoyang and Yuan, Ruibin and Tan, Xu and Chen, Qifeng and Xue, Wei and Guo, Yike}, |
| | journal={arXiv preprint arXiv:2503.10522}, |
| | year={2025} |
| | } |
| | |
| | @inproceedings{tian2025vidmuse, |
| | 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}, |
| | booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference}, |
| | pages={18782--18793}, |
| | year={2025} |
| | } |
| | ``` |
| |
|
| |
|
| |
|
| | ## 🔗 Related Resources |
| |
|
| | - **Paper**: <a href="https://arxiv.org/pdf/2503.10522" target="_blank">AudioX: Diffusion Transformer for Anything-to-Audio Generation</a> (Accepted to ICLR 2026) |
| | - **Project Page**: <a href="https://zeyuet.github.io/AudioX/" target="_blank">https://zeyuet.github.io/AudioX/</a> |
| | - **Code**: <a href="https://github.com/ZeyueT/AudioX" target="_blank">GitHub Repository</a> |
| |
|
| | --- |
| |
|
| | **Note**: This dataset is part of the AudioX project. For more information, please refer to the paper and project page. |
| |
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| |
|
