What does this dataset contain? This dataset comprises nearly 900 million organically selected, time-stamped listening events from 4 million anonymized Deezer users recorded in 2023. It covers 50,000 anonymized songs, among the platform’s most popular, along with their multimodal pre-trained embedding vectors (Audio and SVD) generated by our internal model. All files are provided in Parquet format, readable with the `pandas.read_parquet` function. What could this dataset be used for? This dataset can be applied to multimodal collaborative filtering and multimodal sequential recommendation tasks, including both next-item and next-session prediction. Citation If you use this dataset, please cite following paper: @inproceedings{tran-recsys2025, title={"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation}, author={Viet-Anh Tran, Bruno Sguerra, Gabriel Meseguer-Brocal, Lea Briand and Manuel Moussallam}, booktitle = {Proceedings of the 19th ACM Conference on Recommender Systems}, year = {2025}}