Publication | Closed Access
LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
50
Citations
8
References
2022
Year
Unknown Venue
MusicVector EmbeddingsComputational MusicologyMusic Platform Last.fmCommunicationMusicologyRecommender Systems ResearchInformation RetrievalData ScienceLfm-2b DatasetBiasFairness AnalysisOptical Music RecognitionKnowledge DiscoveryAudio RetrievalGroup RecommendersMusic ClassificationAlgorithmic FairnessArtsCollaborative Filtering
We present the LFM-2b dataset containing the listening records of over 120,000 users of the music platform Last.fm. These users provide a total of more than two billion individual listening events that span a time range of over 15 years, from February 2005 until March 2020. These listening events refer to a total of 50 million distinct tracks of 5 million distinct artists. Beside the common metadata (i. e., artist and track name), LFM-2b contains additional information both regarding the users and items. This includes the demographic information of users, namely country, gender, and age, and the fine-grained genre and style of items together with the vector embeddings of their lyrics.
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