Cited by 5Natural Language Processing TechniquesTopic ModelingInformation Retrieval and Search Behavior

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Annotated Corpus of Arabic Al-Quran Question and Answer

Open access
Alqahtani, Mohammad, Atwell, Eric·2018·University of Leeds

Abstract

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

DataCite · 10.5518/356

Cites

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Recomputing p-values needs the paper’s full text.

Verification

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Metadata

Authors
Alqahtani, M., & Atwell, E.
Affiliations
University of Leeds (GB)
Venue
University of Leeds
Publisher
University of Leeds
Published
2018
OpenAlex
W2909360019
Cited by
5
References
0
Citations by year
2024: 2 · 2023: 2 · 2022: 1
Type
dataset
Language
en
Open access
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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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