2026-10-11T12:51:05Z https://data.mendeley.com/oai

oai:data.mendeley.com/n2y36w2sv9.1 2025-08-05T14:09:33Z

Kreslavsky, Max Yambda-5B — A Large-Scale Multi-modal Dataset for Ranking And Retrieval Mendeley Data The Yambda-5B dataset is a large-scale open database comprising 4.79 billion user-item interactions collected from 1 million users and spanning 9.39 million tracks. This release contains the 50 million‑event subset. Each event is time‑stamped (5 s bins) and labelled with an is_organic flag that separates organic discovery from recommendation‑driven actions, enabling counterfactual and causal studies. The package also includes look‑up tables: album_item_mapping.parquet and artist_item_mapping.parquet – link tracks with their albums and artists. Note: audio‑embedding files are not included in this Figshare release; they remain part of the complete Yambda‑5B dataset on Hugging Face. The full 5 B‑event version (with embeddings) is hosted on Hugging Face. All data are released under the Apache License 2.0. Machine Learning Recommendation System Ploshkin, Alexander Tytskiy, Vladislav Pismenny, Alexey Baikalov, Vladimir Taychinov, Evgeny Permiakov, Artem Burlakov, Daniil Krofto, Eugene Savushkin, Nikolay Dataset doi:10.17632/n2y36w2sv9.1 oai:data.mendeley.com/n2y36w2sv9.1 Apache License 2.0 http://www.apache.org/licenses/LICENSE-2.0 https://data.mendeley.com/datasets/n2y36w2sv9 2025-08-05T14:09:33Z