{"url":"/dataset/amazon-review","name":"Amazon Review","full_name":null,"description_markdown":"Amazon Review is a dataset to tackle the task of identifying whether the sentiment of a product review is positive or negative. This dataset includes reviews from four different merchandise categories: Books (B) (2834 samples), DVDs (D) (1199 samples), Electronics (E) (1883 samples), and Kitchen and housewares (K) (1755 samples).","description_withheld":null,"homepage":"https://nijianmo.github.io/amazon/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"},{"name":"Sequential Recommendation","url":"/task/sequential-recommendation","datasets_with_task":"/datasets/task/sequential-recommendation"},{"name":"Multimodal Recommendation","url":"/task/multimodal-recommendation","datasets_with_task":"/datasets/task/multimodal-recommendation"}],"languages":[],"variants":["AlekseyKorshuk/amazon-reviews-input-output","Amazon Men","Amazon Fashion","Amazon Games","Amazon Beauty","Amazon Review"],"data_loaders":[{"repo":"https://github.com/RoGellert/Amazon_data","url":"https://github.com/RoGellert/Amazon_data","frameworks":[]}],"num_papers_in_archive":35,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/recommendation-systems-on-amazon-games","task":"Recommendation Systems","dataset_variant":"Amazon Games","rows":6,"metrics":["Hit@10","nDCG@10","AUC","NDCG"],"first_row_in_archive_order":{"model":"ProxyRCA","paper":"/paper/proxy-based-item-representation-for-attribute","metrics":{"Hit@10":"0.809","nDCG@10":"0.611"},"code_links":[{"title":"theeluwin/ProxyRCA","url":"https://github.com/theeluwin/ProxyRCA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/positional-encoding-is-not-the-same-as","title":"Positional encoding is not the same as context: A study on positional encoding for sequential recommendation","date":"2024-05-16","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":8,"samples_unverified":0,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/proxy-based-item-representation-for-attribute","title":"Proxy-based Item Representation for Attribute and Context-aware Recommendation","date":"2023-12-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/carca-context-and-attribute-aware-next-item","title":"CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention","date":"2022-04-04","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/tlsan-time-aware-long-and-short-term-1","title":"TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation","date":"2021-03-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/sse-pt-sequential-recommendation-via","title":"SSE-PT: Sequential Recommendation Via Personalized Transformer","date":"2019-09-25","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/180809781","title":"Self-Attentive Sequential Recommendation","date":"2018-08-20","rows_on_this_dataset":1,"code_links":8,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":20,"samples_ran":3,"samples_unverified":17,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":28,"samples_ran":11,"samples_unverified":17,"pointer_only_for_licence":8,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}