Dataset Open Access

LFM-BeyMS

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


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    "description": "<p>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.&nbsp;For more details, we refer to our publication in <a href=\"https://arxiv.org/abs/2102.12188\">https://arxiv.org/abs/2102.12188</a>.</p>\n\n<p>LFM-BeyMS contains<br>\n* 4,148 users<br>\n* 1,084,922 tracks<br>\n* 110,898 artists<br>\n* 16,687,363 listening events</p>\n\n<p>The python code utilized for generating and exhaustively analyzing this dataset&nbsp;can be found in&nbsp;<a href=\"https://github.com/pmuellner/supporttheunderground\">https://github.com/pmuellner/supporttheunderground</a>.</p>", 
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Data volume 52.1 GB52.1 GB
Unique views 222221
Unique downloads 1515

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