{"url":"/dataset/eprstmt","name":"EPRSTMT","full_name":"E-commerce Product Review Dataset for Sentiment Analysis","description_markdown":"The EPRSTMT dataset, also known as EPR-sentiment, is a binary sentiment analysis dataset based on product reviews on an e-commerce platform. Each sample in the dataset is labeled as either Positive or Negative. It was collected by the ICIP Lab of Beijing Normal University and has been re-organized to make it suitable for sentiment analysis tasks.","description_withheld":null,"homepage":"https://github.com/CLUEbenchmark/ZeroCLUE","introduced_date":"2021-07-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/fewclue-a-chinese-few-shot-learning","title":"FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark","first_author":"Liang Xu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["EPRSTMT"],"data_loaders":[],"num_papers_in_archive":13,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"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."}