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---
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
```@inproceedings{zheng2025,
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)}
}
``` |