Spotify Million Playlist Dataset
dataset·playlist recommendation·active·also: MPD
One million anonymized public playlists released for automatic playlist continuation research.
Verified facts
| Official site | https://research.atspotify.com/2020/09/the-million-playlist-dataset-remastered ↗ |
|---|---|
| Geography | United States |
| size | artists: nearly 300000 · playlists: 1000000 · unique tracks: over 2000000 · source public playlists: over 2000000000 |
| scope | Music recommendation and automatic playlist continuation. |
| genres | user-created mixed playlists |
| license | Non-commercial open research terms |
| steward | Spotify |
| creators | Ching-Wei Chen; Paul Lamere; Markus Schedl; Hamed Zamani |
| languages | multilingual playlist titles |
| modalities | JSON playlists; playlist titles; track and artist identifiers; playlist metadata |
| geographies | Global |
| access method | AICrowd open-ended challenge after 2020 rerelease. |
| intended uses | automatic playlist continuation; music recommendation |
| related papers | RecSys Challenge 2018: Automatic Music Playlist Continuation |
| prohibited uses | Commercial use is not allowed under the published research terms. |
| annotation method | Playlist composition and metadata preserved; challenge hides tracks for continuation evaluation. |
| collection method | Sampled from public Spotify playlists created between 2010 and November 2017. |
| provenance claims | Spotify states data were anonymized to protect user privacy. |
| current availability | Research challenge page exists; access requires terms and may change. |
| commercial use limits | Commercial use prohibited by challenge terms. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | Historical Spotify users and public playlists are not representative of all listening.; Playlist titles and track combinations can carry privacy or sensitive-context signals. |
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