socialyandex/yambdarecsysrecommendationmusicretrievalrankingembeddingslarge-scaleparquetbenchmarkmultimodal

Yambda-5B: Large-Scale Music Recommendation Dataset (4.79B Interactions)

Name: Yambda-5B: Large-Scale Music Recommendation Dataset (4.79B Interactions)
Creator: DataBazaar
Keywords: yandex/yambda, recsys, recommendation, music, retrieval, ranking, embeddings, large-scale, parquet, benchmark, multimodal

About this data

Industrial-scale music recommendation dataset from Yandex with 4.79B user-item interactions across 1M users and 9.39M tracks, including organic and recommendation interactions plus audio embeddings.

Schema

Name	Type	Description
uid	UINTEGER	Anonymized user identifier (integer).
timestamp	UINTEGER	Interaction time in Unix epoch seconds.
item_id	UINTEGER	Anonymized track identifier (integer).
is_organic	UTINYINT	1 if user-initiated, 0 if recommendation-driven.
played_ratio_pct	USMALLINT	Percentage of track played (0-100).
track_length_seconds	UINTEGER	Track duration in seconds.
event_type	VARCHAR	Interaction type: listen, like, dislike, or skip.

Sample Data

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Free

Open dataset

Quality: No ratings

0 downloads

Seller: DataBazaar

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  "mcpServers": {
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}

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// Found: a7334d10-496a-4fea-a9a8-a3605e38a34d
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