This repository contains code for downloading the AudioSet dataset. The code is provided as-is, and is not officially supported by Google.

• Python 3.9 (it may work with other versions, but it has not been tested)

# Install ffmpeg
sudo apt install ffmpeg
# Install audioset-download
pip install audioset-download

The following code snippet downloads the unbalanced train set, and stores it in the test directory. It only downloads the files associated with the Speech and Afrobeat labels, and uses two parallel processes for downloading. If a file is associated to multiple labels, it will be stored only once, and associated to the first label in the list.

from audioset_download import Downloader
d = Downloader(root_path='test', labels=["Speech", "Afrobeat"], n_jobs=2, download_type='unbalanced_train', copy_and_replicate=False)
d.download(format = 'vorbis')

The main class is audioset_download.Downloader. It is initialized using the following parameters:

• root_path: the path to the directory where the dataset will be downloaded.
• labels: a list of labels to download. If None, all labels will be downloaded.
• n_jobs: the number of parallel downloads. Default is 1.
• download_type: the type of download. It can be one of the following:
  • balanced_train: balanced train set.
  • unbalanced_train: unbalanced train set. This is the default
  • eval: evaluation set.
• copy_and_replicate: if True if a file is associated to multiple labels, it will be copied and replicated for each label. If False, it will be associated to the first label in the list. Default is True.

The methods of the class are:

• download(format='vorbis', quality=5): downloads the dataset.
• The format can be one of the following (supported by yt-dlp --audio-format parameter):
  • vorbis: downloads the dataset in Ogg Vorbis format. This is the default.
  • wav: downloads the dataset in WAV format.
  • mp3: downloads the dataset in MP3 format.
  • m4a: downloads the dataset in M4A format.
  • flac: downloads the dataset in FLAC format.
  • opus: downloads the dataset in Opus format.
  • webm: downloads the dataset in WebM format.
  • ... and many more.
  • The quality can be an integer between 0 and 10. Default is 5.
• read_class_mapping(): reads the class mapping file. It is not used externally.
• download_file(...): downloads a single file. It is not used externally.