Last-fm User and Artist Gender Repository
<p>Dataset consisting of Last.fm listening events data with annotated gender labels for both users and artists. The dataset is generted to acompony the paper '<em>Exploring Artist Gender Bias in Music Recommendation</em>' submitted to the <strong>2nd</strong> <strong>Workshop on the Impact of Recommender Systems with ACM RecSys 2020.</strong></p> <p>The dataset is formed from two Last.fm datasets:</p> <ul> <li><strong>Schedl's Lfm-1b</strong> - LFM-1b-Le75.csv, LFM1b-MB-artists.txt</li> <li><strong>Celma's Lfm-360k</strong> - LastFM360k-Le75.txt, LastFM360k-MB-artists.txt</li> </ul> <p>Artist gender data is recovered via a datawrangler configured to retrieve data from a locally configured version of the music ensicolopedia, MusicBrainz. Code repositories are made openly availible at the following link to elicit reproducibility: <a href="https://github.com/dshakes90/LFM-1b-MusicBrainz-Gender-Wrangler">https://github.com/dshakes90/LFM-1b-MusicBrainz-Gender-Wrangler</a></p> <p> </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- September 24, 2020
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.3964505
Scored with release 0.9.0
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