Dataset Open Access


Peter Müllner; Dominik Kowald; Markus Schedl; Christine Bauer; Eva Zangerle; Elisabeth Lex

Dublin Core Export

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Peter Müllner</dc:creator>
  <dc:creator>Dominik Kowald</dc:creator>
  <dc:creator>Markus Schedl</dc:creator>
  <dc:creator>Christine Bauer</dc:creator>
  <dc:creator>Eva Zangerle</dc:creator>
  <dc:creator>Elisabeth Lex</dc:creator>
  <dc:description>This dataset is based on the LFM-1b [1] and the Cultural LFM-1b [2] datasets. LFM-BeyMS includes equally-sized groups of both, beyond-mainstream and mainstream music listeners and thus, can be used for studying the characteristics of beyond-mainstream music listeners for recommendation experiments. For more details, we refer to our publication in

LFM-BeyMS contains
* 4,148 users
* 1,084,922 tracks
* 110,898 artists
* 16,687,363 listening events

The python code utilized for generating and exhaustively analyzing this dataset can be found in</dc:description>
All versions This version
Views 276275
Downloads 1616
Data volume 52.1 GB52.1 GB
Unique views 231230
Unique downloads 1515


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