Datasets › AllMusic Mood Subset

AllMusic Mood Subset

Introduced by Filip Korzeniowski et al. in Mood Classification Using Listening Data22 Oct 2020 archive 2025-07-28

The AllMusic Mood Subset (AMS) is a dataset for mood classification from songs. It is created by matching a subset of the Million Song Dataset (MSD), totalling 67k tracks, with expert annotations of 188 different moods collected from AllMusic.

Since the AMS is a subset of the MSD, the audio data is gathered by obtaining the 7-digital 30 second previews associated with all MSD tracks. These are 128kbps mp3 stereo files sampled at 44.1kHz.

Source: Mood Classification Using Listening Data

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • AllMusic Mood Subset

1 variant name, as the archive lists them.

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