MirathQA: A dataset for evaluating large language models on Hanbali Islamic inheritance reasoning tasks.

Almasoud A, Al-Ghamdi S, Alqifari R, Alfear N, Al-Khalifa H

Open source

DOI
10.1016/j.dib.2026.112589
Published
2026 Apr
Container
Data in brief
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.dib.2026.112589,
  title = {MirathQA: A dataset for evaluating large language models on Hanbali Islamic inheritance reasoning tasks.},
  author = {Almasoud A and Al-Ghamdi S and Alqifari R and Alfear N and Al-Khalifa H},
  year = {2026},
  journal = {Data in brief},
  doi = {10.1016/j.dib.2026.112589},
  url = {https://doi.org/10.1016/j.dib.2026.112589}
}

RIS

TY  - JOUR
TI  - MirathQA: A dataset for evaluating large language models on Hanbali Islamic inheritance reasoning tasks.
AU  - Almasoud A
AU  - Al-Ghamdi S
AU  - Alqifari R
AU  - Alfear N
AU  - Al-Khalifa H
PY  - 2026
JO  - Data in brief
DO  - 10.1016/j.dib.2026.112589
UR  - https://doi.org/10.1016/j.dib.2026.112589
ER  - 

APA

A, A., S, A., R, A., N, A., & H, A. (2026). MirathQA: A dataset for evaluating large language models on Hanbali Islamic inheritance reasoning tasks.. Data in brief. https://doi.org/10.1016/j.dib.2026.112589

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