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.