Chinese Competitive Debate: A Dataset and Benchmark with Professional Adjudication

Evaluating debate requires interpreting contributions in context and relating them to local assessments and overall outcomes. We introduce the Chinese Competitive Debate Dataset (CCDD), linking competition transcripts to original adjudication under a predefined rubric. CCDD contains 148 matches, 2,690 stage–side scoring instances, and 20,542 turns, with reviewed transcripts, aligned individual judge scores, match decisions, best-debater ballots, and commentary. Linked appeal records preserve reassessments. Three benchmark tasks—winner prediction, stage-score prediction, and best-debater prediction—demonstrate the use of this supervision. Zero-shot results reveal challenges in reproducing stage assessments, while judge-agreement analyses and structural references contextualize performance. CCDD supports research on contextual debate evaluation and judge disagreement. The dataset is publicly available at https://anonymous.4open.science/w/CCDD-Page.