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https://github.com/snap-research/GRID Beauty, Sports, Toys amazon-p5-grid-dataset This dataset contains pre-processed Amazon user-item interaction sequences and product metadata, specifically curated for the GRID (Generative Recommendation with Semantic IDs) framework by Snap Research. It is derived from the P5 recommendation benchmark, covering diverse domains such as Beauty, Sports, and Toys to support large-scale generative modeling. The data is structured to facilitate the generation of Semantic IDs using LLM embeddings (e.g., Flan-T5) and hierarchical clustering techniques like RQ-VAE. It serves as a standardized resource for researchers training sequence-to-sequence recommendation models and exploring the intersection of LLMs and collaborative filtering.
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