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  ## Overview
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- 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**. The dataset includes both implicit feedback, such as listening events, and explicit feedback, in the form of likes and dislikes. Additionally, it provides distinctive markers for organic versus recommendation-driven interactions, along with precomputed audio embeddings to facilitate content-aware recommendation systems.
 
 
 
 
 
 
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  Preprint: https://arxiv.org/abs/2505.22238
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  ## Key Features
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  - 🎵 4.79B user-music interactions (listens, likes, dislikes, unlikes, undislikes)
 
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  ## Overview
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+ The Yambda-5B dataset is a large-scale open database comprising **4.79 billion user-item interactions**
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+ collected from **1 million users** and spanning **9.39 million tracks**. The dataset includes both
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+ implicit feedback, such as listening events, and explicit feedback, in the form of likes and dislikes.
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+ Additionally, it provides distinctive markers for organic versus recommendation-driven interactions,
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+ along with precomputed audio embeddings to facilitate content-aware recommendation systems.
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+
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+ The Yambda dataset is published exclusively for scientific and research purposes.
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  Preprint: https://arxiv.org/abs/2505.22238
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+ ## License
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+ [Apache 2.0](LICENSE)
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  ## Key Features
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  - 🎵 4.79B user-music interactions (listens, likes, dislikes, unlikes, undislikes)