jnwnlee/vgg-monoaudio
VGG-MonoAudio A curated evaluation benchmark designed for text-conditioned selective video-to-audio (V2A) generation. VGG-MonoAudio overview. TL;DR VGG-MonoAudio comprises triplets of video (featuring multiple visible sound sources), text (identifying the target source), and audio (containing only the clean, isolated target sound). It is constructed by visually mixing single-source clips from VGGSound and UnAV-100 while retaining only the… See the full description on the dataset page: https://huggingface.co/datasets/jnwnlee/vgg-monoaudio.
| Author / organization | jnwnlee |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 125 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 7 February 2026 |
| Last updated at source | 10 March 2026 |
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Recent changes
- 16 Oct 2026 Description: VGG-MonoAudio A curated evaluation benchmark designed for text-conditioned selective video-to-audio (V2A) generation. VGG-MonoAudio overview. TL;DR VGG-MonoAudio comprises triplets of video (featuring multiple visible sound sources), text ( → VGG-MonoAudio A curated evaluation benchmark designed for text-conditioned selective video-to-audio (V2A) generation. VGG-MonoAudio overview. TL;DR VGG-MonoAudio comprises triplets of video (featuring multiple visible sound sources), text (
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