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# 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:**
- **Github:** https://github.com/LoieSun/Auto-ACD
## Analysis
![](src/analysis.png)
Auto-ACD</strong>, comprising over <strong>1.9M </strong> audio-text pairs.
As shown in figure, The text descriptions in Auto-ACD contain <strong>long texts (18 words)</strong> and <strong>diverse vocabularies (23K)</strong>, and provide information about the <strong>surrounding auditory environment</strong>(data point with <strong>shadow</strong>) 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
```
## Dataset Preview
![](src/samples.png)
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