Music4All-Onion

Music4All-Onion is a large-scale, multi-modal music dataset that expands the Music4All dataset by including 26 additional audio, video, and metadata features for 109,269 music pieces and provides a set of 252,984,396 listening records of 119,140 users, extracted from the online music platform Last.fm .

If you make use of this dataset, please cite the following paper:
@inproceedings{DBLP:conf/cikm/MoscatiPDZS22,
  author    = {Marta Moscati and
               Emilia Parada{-}Cabaleiro and
               Yashar Deldjoo and
               Eva Zangerle and
               Markus Schedl},
  editor    = {Mohammad Al Hasan and
               Li Xiong},
  title     = {Music4All-Onion - {A} Large-Scale Multi-faceted Content-Centric Music
               Recommendation Dataset},
  booktitle = {Proceedings of the 31st {ACM} International Conference on Information
               {\&} Knowledge Management, Atlanta, GA, USA, October 17-21, 2022},
  pages     = {4339--4343},
  publisher = {{ACM}},
  year      = {2022},
  url       = {https://doi.org/10.1145/3511808.3557656},
  doi       = {10.1145/3511808.3557656},
  timestamp = {Wed, 19 Oct 2022 17:09:02 +0200},
  biburl    = {https://dblp.org/rec/conf/cikm/MoscatiPDZS22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}