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JBE-QA: Japanese Bar Exam QA Dataset for Assessing Legal Domain Knowledge

Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)

DOI:10.63317/5knc9vm8vgda

Abstract

We introduce JBE-QA, a Japanese Bar Exam Question–Answering dataset to evaluate large language models’ legal knowledge. Derived from the multiple-choice (tantō-shiki) section of the Japanese bar exam (2015–2024), JBE-QA provides the first comprehensive benchmark for Japanese legal-domain evaluation of LLMs. It covers the Civil Code, the Penal Code, and the Constitution, extending beyond the Civil Code focus of prior Japanese resources. Each question is decomposed into independent true/false judgments with structured contextual fields. The dataset contains 3,464 items with balanced labels. We evaluate 26 LLMs, including proprietary, open-weight, Japanese-specialised, and reasoning models. Our results show that proprietary models with reasoning enabled perform best, and the Constitution questions are generally easier than the Civil Code or the Penal Code questions.

Details

Paper ID
lrec2026-main-415
Pages
pp. 5317-5327
BibKey
cao-etal-2026-jbe
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
978-2-493814-49-4
Conference
The Fifteenth Language Resources and Evaluation Conference (LREC 2026)
Location
Palma, Mallorca, Spain
Date
11 May 2026 16 May 2026

Authors

  • ZC

    Zhihan Cao

  • FN

    Fumihito Nishino

  • HY

    Hiroaki Yamada

  • HN

    Ha Thanh Nguyen

  • YM

    Yusuke Miyao

  • KS

    Ken Satoh

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