cvssp/WavCaps
WavCaps WavCaps is a ChatGPT-assisted weakly-labelled audio captioning dataset for audio-language multimodal research, where the audio clips are sourced from three websites (FreeSound, BBC Sound Effects, and SoundBible) and a sound event detection dataset (AudioSet Strongly-labelled Subset). Paper: https://arxiv.org/abs/2303.17395 Github: https://github.com/XinhaoMei/WavCaps Statistics Data Source # audio avg. audio duration (s) avg. text length… See the full description on the dataset page: https://huggingface.co/datasets/cvssp/WavCaps.
| Author / organization | cvssp |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 8.9K (as reported by Hugging Face) |
| Likes | 56 |
| Created | 12 April 2023 |
| Last updated at source | 6 July 2023 |
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Connected in the knowledge graph
- declare-lab/TangoFluxModel · used to train
Recent changes
- 16 Oct 2026 Description: WavCaps WavCaps is a ChatGPT-assisted weakly-labelled audio captioning dataset for audio-language multimodal research, where the audio clips are sourced from three websites (FreeSound, BBC Sound Effects, and SoundBible) and a sound event de → WavCaps WavCaps is a ChatGPT-assisted weakly-labelled audio captioning dataset for audio-language multimodal research, where the audio clips are sourced from three websites (FreeSound, BBC Sound Effects, and SoundBible) and a sound event de
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.