{"url":"/dataset/nasgec","name":"NaSGEC","full_name":null,"description_markdown":"**NaSGEC** is a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains. Previous CGEC research primarily focuses on correcting texts from a single domain, especially learner essays.\r\n\r\nSource: [NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts](https://arxiv.org/pdf/2305.16023v1.pdf)\r\n\r\nImage Source: [NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts](https://arxiv.org/pdf/2305.16023v1.pdf)","description_withheld":null,"homepage":"https://github.com/HillZhang1999/NaSGEC","introduced_date":"2023-05-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/nasgec-a-multi-domain-chinese-grammatical","title":"NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts","first_author":"Yue Zhang","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Grammatical Error Correction","url":"/task/grammatical-error-correction","datasets_with_task":"/datasets/task/grammatical-error-correction"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["NaSGEC"],"data_loaders":[],"num_papers_in_archive":1,"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."}