Datasets › AppealCase
AppealCase
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.
To bridge this gap, we construct 10,000 pairs of matched first-instance and second-instance civil cases from China Judgments Online, covering 91 causes of action. We also design a structured annotation schema and define new tasks tailored to the appellate context.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
CC BY-NC 4.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- AppealCase
1 variant name, as the archive lists them.
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