Auto-ACD
Auto-ACD is a large-scale, high-quality, audio-language dataset, building on the prior of robust audio-visual correspondence in existing video datasets, VGGSound and AudioSet.
- Homepage: https://auto-acd.github.io/
- Paper: https://huggingface.co/papers/2309.11500
- Github: https://github.com/LoieSun/Auto-ACD
Analysis
Auto-ACD, comprising over 1.9M audio-text pairs. As shown in figure, The text descriptions in Auto-ACD contain long texts (18 words) and diverse vocabularies (23K), and provide information about the surrounding auditory environment(data point with shadow) in which sounds take place.
Download
We provide a csv file. For each data pairs, we provide YouTube URLs and generated caption. Each line in the csv file has columns defined by here.
# YouTube ID, caption