Dataset · Hugging Face

PIIR/ReSID-dataset

Name: ReSID-dataset
Creator: PIIR
License: mit
Keywords: task_categories:other, language:en, license:mit, size_categories:10M<n<100M, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2602.02338, region:us, recommender-systems, sequential-recommendation

Amazon Reviews 2023 (10 Categories, Post-processed) Paper | Code | Original Source Overview This dataset is a curated and post-processed subset of Amazon Reviews 2023. We select 10 product categories and apply a standard preprocessing pipeline widely used in sequential recommendation research. The resulting dataset provides user interaction sequences along with structured item side information. Categories: 10 Content: user interaction sequences + structured item… See the full description on the dataset page: https://huggingface.co/datasets/PIIR/ReSID-dataset.

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Author / organization	PIIR
License (as declared)	mit
Downloads	133 (as reported by Hugging Face)
Likes	0
Created	7 February 2026
Last updated at source	5 April 2026

recommender-systemssequential-recommendationamazon-reviewsside-information

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16 Oct 2026 Description: Amazon Reviews 2023 (10 Categories, Post-processed) Paper | Code | Original Source Overview This dataset is a curated and post-processed subset of Amazon Reviews 2023. We select 10 product categories and apply a standard preprocessing pipel → Amazon Reviews 2023 (10 Categories, Post-processed) Paper | Code | Original Source Overview This dataset is a curated and post-processed subset of Amazon Reviews 2023. We select 10 product categories and apply a standard preprocessing pipel

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