{"url":"/dataset/cjrc","name":"CJRC","full_name":"Chinese judicial reading comprehension","description_markdown":"The Chinese judicial reading comprehension (CJRC) dataset contains approximately 10K documents and almost 50K questions with answers. The documents come from judgment documents and the questions are annotated by law experts. \r\n\r\nSource: [CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension](/paper/cjrc-a-reliable-human-annotated-benchmark)","description_withheld":null,"homepage":"https://github.com/china-ai-law-challenge/CAIL2019","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/cjrc-a-reliable-human-annotated-benchmark","title":"CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension","first_author":"Xingyi Duan","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Chinese Reading Comprehension","url":"/task/chinese-reading-comprehension","datasets_with_task":"/datasets/task/chinese-reading-comprehension"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["CJRC Dev","CJRC"],"data_loaders":[{"repo":"https://github.com/china-ai-law-challenge/CAIL2019","url":"https://github.com/china-ai-law-challenge/CAIL2019","frameworks":["tf"]}],"num_papers_in_archive":10,"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."}