{"url":"/dataset/nsmc","name":"NSMC","full_name":"Naver Sentiment Movie Corpus","description_markdown":"This is a movie review dataset in the Korean language. Reviews were scraped from Naver Movies.\r\n\r\nSource: [NSMC](https://github.com/e9t/nsmc/)","description_withheld":null,"homepage":"https://github.com/e9t/nsmc/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"Korean","url":"/datasets/language/korean"}],"variants":["NSMC"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/e9t/nsmc","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/nsmc","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/e9t/nsmc","url":"https://github.com/e9t/nsmc","frameworks":[]}],"num_papers_in_archive":0,"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":"2026-09-24T18:15:14+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."}