遇见数据集

amazon-reviews

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OpenML2025-02-24 更新2025-12-20 收录
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OVERVIEW Contains 34,686,770 Amazon reviews from 6,643,669 users on 2,441,053 products, from the Stanford Network Analysis Project (SNAP). This subset contains 1,800,000 training samples and 200,000 testing samples in each polarity sentiment. ORIGIN The Amazon reviews dataset consists of reviews from amazon. The data span a period of 18 years, including ~35 million reviews up to March 2013. Reviews include product and user information, ratings, and a plaintext review. For more information, please refer to the following paper: J. McAuley and J. Leskovec. Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys, 2013. The CSVs contain polarity, title, text. These 3 columns in them, correspond to class index (1 or 2), review title and review text. polarity - 1 for negative and 2 for positive title - review heading text - review body paper_url = "https://papers.nips.cc/paper_files/paper/2015/file/250cf8b51c773f3f8dc8b4be867a9a02-Paper.pdf" original_data_url = "https://www.kaggle.com/datasets/kritanjalijain/amazon-reviews"

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2025-02-24
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