LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada‐Cabaleiro, David Penz, Navid Rekabsaz
Abstract
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.