ai-law-society-lab/oral-args-data-and-results
Oral Arguments Arena Data repository for AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments (Zhang, Nadeem, Zheng, Stammbach, Henderson, 2026). Refer to the paper for background on the evaluation framework, experimental design, and findings. Repository Structure oral-args-arena-annotations/ ├── transcript_data/ # SCOTUS oral argument transcripts and case briefs ├── automated_metrics/ # LLM classifier outputs… See the full description on the dataset page: https://huggingface.co/datasets/ai-law-society-lab/oral-args-data-and-results.
| Author / organization | ai-law-society-lab |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 255 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 30 July 2025 |
| Last updated at source | 1 April 2026 |
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- 16 Oct 2026 Description: Oral Arguments Arena Data repository for AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments (Zhang, Nadeem, Zheng, Stammbach, Henderson, 2026). Refer to the paper for background on the evaluation framework, e → Oral Arguments Arena Data repository for AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments (Zhang, Nadeem, Zheng, Stammbach, Henderson, 2026). Refer to the paper for background on the evaluation framework, e
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