The DOI matches its DataCite record.
Annotated Corpus of Arabic Al-Quran Question and Answer
Open accessAbstract
AQQAC is a collection of approximately 2224 questions and answers about Al-Al-Quran. Each question and answer is annotated with the question ID, question word (particles), chapter number, verse number, question topic, question type, Al-Quran ontology concepts (Alqahtani & Atwell, 2018) and question source. The aim of this corpus is to provide a Question-Answering taxonomy for questions about Al-Quran. Additionally, this corpus might be used as a data set for testing and evaluating Islamic IR systems. The text of Al-Quran questions and answers were extracted from trusted two islamic sources: (1000 Su'al Wa Jawab Fi ALKORAN) was compiled by the famous Islamic scholar Ashur (2001). This book contains 1000 questions and answers about Al-Quran written in the Arabic language. Islam – Al-Quran and Tafseer is a website about Al-Quran that includes a description and a translation of Al-Quran and the reciting rules, the “Tajweed”. Additionally, this website has approximately 1224 questions and answers about Al-Quran in the Arabic language extracted from the Altabari Tafseer. Currently, this dataset contains 1224 annotated question-answers and the missing data that hasn’t been shared is due to copyright concerns.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cited by
Sorted by citations
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Atif, F., Askarbekuly, N., Darwish, K., & Choudhury, M. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v8i1.36543 · Cited by 2
Metadata
- Authors
- Alqahtani, M., & Atwell, E.
- Affiliations
- University of Leeds (GB)
- Venue
- University of Leeds
- Publisher
- University of Leeds
- Published
- 2018
- DOI
- 10.5518/356
- OpenAlex
- W2909360019
- Cited by
- 5
- References
- 0
- Citations by year
- 2024: 2 · 2023: 2 · 2022: 1
- Type
- dataset
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- University of Leeds (cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- annotated corpus, Quranic exegesis, tajwid, Arabic question answering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Annotated Corpus of Arabic Al-Quran Question and Answer. https://app.cochat.ai/papers/10.5518/356
- The paper
- Alqahtani, M., & Atwell, E. (2018). Annotated Corpus of Arabic Al-Quran Question and Answer. University of Leeds. https://doi.org/10.5518/356