{"url":"/dataset/ccse","name":"CCSE","full_name":"Chinese Character Stroke Extraction","description_markdown":"**Chinese Character Stroke Extraction (CCSE)** is a benchmark containing two large-scale datasets: Kaiti CCSE (CCSE-Kai) and Handwritten CCSE (CCSE-HW). It is designed for stroke extraction problems.\r\n\r\nSource: [Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks](https://arxiv.org/pdf/2210.13826v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2210.13826v1.pdf](https://arxiv.org/pdf/2210.13826v1.pdf)","description_withheld":null,"homepage":"https://github.com/lizhaoliu-Lec/CCSE","introduced_date":"2022-10-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/instance-segmentation-for-chinese-character","title":"Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks","first_author":"Lizhao Liu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Font Generation","url":"/task/font-generation","datasets_with_task":"/datasets/task/font-generation"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"},{"name":"Mandarin Chinese","url":"/datasets/language/mandarin-chinese"}],"variants":["CCSE"],"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."}