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}
}