---
license: cc-by-4.0
task_categories:
- audio-classification
tags:
- audio
dataset_info:
  features:
  - name: video_id
    dtype: string
  - name: audio
    dtype: audio
  - name: labels
    sequence: string
  - name: human_labels
    sequence: string
  splits:
  - name: train
    num_bytes: 26016210987
    num_examples: 18685
  - name: test
    num_bytes: 23763682278
    num_examples: 17142
  download_size: 49805654900
  dataset_size: 49779893265
---

# AudioSet data
This repository contains the balanced training set and evaluation set
of the [AudioSet data](
https://research.google.com/audioset/dataset/index.html). The YouTube
videos were downloaded in March 2023, and so not all of the original
audios are available.

Extracting the `*.tar` files will place audio clips into the `audio/`
directory. The distribuion of audio clips is as follows:
- `audio/bal_train`: 18685 audio clips out of 22160 originally.
- `audio/eval`: 17142 audio clips out of 20371 originally.

Most audio is sampled at 48 kHz 24 bit, but about 10% is sampled at
44.1 kHz 24 bit. Audio files are stored in the FLAC format.

## Citation
```bibtex
@inproceedings{jort_audioset_2017,
	title	= {Audio Set: An ontology and human-labeled dataset for audio events},
	author	= {Jort F. Gemmeke and Daniel P. W. Ellis and Dylan Freedman and Aren Jansen and Wade Lawrence and R. Channing Moore and Manoj Plakal and Marvin Ritter},
	year	= {2017},
	booktitle	= {Proc. IEEE ICASSP 2017},
	address	= {New Orleans, LA}
}
```