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Awesome Datasets for Music Recommendation

recommendation-datasets music-recommendation recommendation information-retrieval music-information-retrieval recommender-systems music-datasets

awesome-music-recommendation-datasets's Introduction

Datasets for Music Information Retrieval(MIR) and Music Recommender Systems(MRS)

Name	Paper	Download	Challenge
MSD	Brian McFee, Thierry Bertin-Mahieux, Daniel PW Ellis, and Gert RG Lanckriet. 2012. The million song dataset challenge. InProceedings of the 21st International Conferenceon World Wide Web. 909–916.	link	Million Song Dataset Challenge
MSSD	Brian Brost, Rishabh Mehrotra, and Tristan Jehan. 2019. The music streaming sessions dataset. InThe World Wide Web Conference. 2594–2600.	link	WSDM-CUP 2019: Spotify Sequential Skip Prediction Challenge
Last.fm 1K	O. Celma. 2010.Music Recommendation and Discovery in the Long Tail. Springer.	link
Last.fm 360K	O. Celma. 2010.Music Recommendation and Discovery in the Long Tail. Springer.	link
30Music	Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, and Paolo Cremonesi. 2015. 30Music Listening and Playlists Dataset.. InRecSys Posters. 75.	link
LFM-1b	Markus Schedl. 2016. The lfm-1b dataset for music retrieval and recommendation. InProceedings of the 2016 ACM on international conference on multimedia retrieval. 103–110.	link
LFM-1b UGP	Markus Schedl and Bruce Ferwerda. 2017. Large-scale analysis of group-specific music genre taste from collaborative tags. In2017 IEEE International Symposium on Multimedia(ISM). IEEE, 479–482/	link
LFM-2b	Melchiorre A B, Rekabsaz N, Parada-Cabaleiro E, et al. Investigating gender fairness of recommendation algorithms in the music domain[J]. Information Processing & Management, 2021, 58(5): 102666.	link
KKBOX		link	WSDM-CUP 2018: KKBox's Music Recommendation Challenge
Yahoo!R3	Benjamin M Marlin and Richard S Zemel. 2009. Collaborative prediction and ranking with non-random missing data. InProceedings of the third ACM conference on Recommendersystems. 5–12.	link
Yahoo! Music Dataset	Gideon Dror, Noam Koenigstein, Yehuda Koren, and Markus Weimer. 2012. The yahoo! music dataset and kdd-cup’11. InProceedings of KDD Cup 2011. PMLR, 3–18.	link	KDD-Cup 2011: Recommending Music Items based on the Yahoo! Music Dataset
#nowplaying	Eva Zangerle, Martin Pichl, Wolfgang Gassler, and Günther Specht. 2014. # nowplaying music dataset: Extracting listening behavior from twitter. InProceedings of the firstinternational workshop on internet-scale multimedia management. 21–26.	link
#nowplaying-RS	Asmita Poddar, Eva Zangerle, and Yi-Hsuan Yang. 2018. nowplaying-RS: a new benchmark dataset for building context-aware music recommender systems. InProceedings ofthe 15th Sound & Music Computing Conference. 21–26.	link
MMTD	David Hauger, Markus Schedl, Andrej Košir, and Marko Tkalcic. 2013. The million musical tweets dataset: What can we learn from microblogs. InProc. ISMIR. 189–194.	link
NCM	Dennis J Zhang, Ming Hu, Xiaofei Liu, Yuxiang Wu, and Yong Li. 2022. NetEase cloud music data.Manufacturing & Service Operations Management24, 1 (2022), 275–284.	link
SiTunes	Grigorev V, Li J, Ma W, et al. SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals[C]//Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval. 2024: 417-421.	link

You can see more descriptions about these datasets in this blog (In Chinese).

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