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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 &#39;<em>Exploring Artist Gender Bias in Music Recommendation</em>&#39; submitted to the <strong>2nd</strong>&nbsp;<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&#39;s Lfm-1b</strong> -&nbsp;LFM-1b-Le75.csv, LFM1b-MB-artists.txt</li> <li><strong>Celma&#39;s Lfm-360k</strong> - LastFM360k-Le75.txt,&nbsp;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:&nbsp;<a href="https://github.com/dshakes90/LFM-1b-MusicBrainz-Gender-Wrangler">https://github.com/dshakes90/LFM-1b-MusicBrainz-Gender-Wrangler</a></p> <p>&nbsp;</p> <p>&nbsp;</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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