metadata

license: cc-by-sa-4.0
task_categories:
  - question-answering
language:
  - en
tags:
  - legal
size_categories:
  - n<1K

Bar Exam QA Benchmark 📝

The dataset includes questions from multistate bar exams and answers sourced from expert annotations.


Task category	t2t
Domains	Legal, Written
Reference	https://reglab.github.io/legal-rag-benchmarks/

This dataset was produced by modifying the reglab Bar Exam QA dataset, by combining question and prompt text into a single query, and using expert annotated passages as answers. As a benchmark, this dataset is best designed for legal information retrieval and question answering related tasks.

Citation

  author = {Zheng, Lucia and Guha, Neel and Arifov, Javokhir and Zhang, Sarah and Skreta, Michal and Manning, Christopher D. and Henderson, Peter and Ho, Daniel E.},
  title = {A Reasoning-Focused Legal Retrieval Benchmark},
  year = {2025},
  series = {CSLAW '25 (forthcoming)}
}