{"url":"/dataset/appealcase","name":"AppealCase","full_name":null,"description_markdown":"The **AppealCase** dataset is the first large-scale resource specifically designed to support LegalAI research in **appellate judgment scenarios**. While prior work in LegalAI has focused heavily on one-shot trials, the appellate procedure—critical to ensuring fairness and correcting judicial errors—remains largely underexplored.\r\n\r\nTo bridge this gap, we construct 10,000 pairs of matched first-instance and second-instance civil cases from [China Judgments Online](https://wenshu.court.gov.cn), covering 91 causes of action. We also design a structured annotation schema and define new tasks tailored to the appellate context.","description_withheld":null,"homepage":"https://github.com/ythuang02/AppealCase","introduced_date":"2025-05-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/appealcase-a-dataset-and-benchmark-for-civil","title":"AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios","first_author":"YuTing Huang","url":null},"license":{"name":"CC BY-NC 4.0","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"Multi-class Classification","url":"/task/multi-class-classification","datasets_with_task":"/datasets/task/multi-class-classification"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["AppealCase"],"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":"2026-09-25T09:33:49+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."}