This dataset is based on the LFM-1b  and the Cultural LFM-1b  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 https://arxiv.org/abs/2102.12188.
* 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 https://github.com/pmuellner/supporttheunderground.