Research Data Leeds Repository
Annotated Corpus of Arabic Al-Quran Question and Answer
Citation
Alqahtani, Mohammad and Atwell, Eric (2018) Annotated Corpus of Arabic Al-Quran Question and Answer. University of Leeds. [Dataset] https://doi.org/10.5518/3561
Dataset description
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.
Keywords: | quran, Q&A, corpus, NLP | ||||
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Subjects: | I000 - Computer sciences > I400 - Artificial intelligence2 | ||||
Divisions: | Faculty of Engineering and Physical Sciences > School of Computing3 | ||||
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License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||
Date deposited: | 03 Dec 2018 16:08 | ||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/4645 | ||||
Files
Data
- 1. https://doi.org/10.5518/356
- 2. https://archive.researchdata.leeds.ac.uk/view/subjects/I400.html
- 3. https://archive.researchdata.leeds.ac.uk/view/divisions/SC/
- 4. https://etheses.whiterose.ac.uk/24184/
- 5. https://archive.researchdata.leeds.ac.uk/id/eprint/464
- 6. https://orcid.org/0000-0001-9403-1286
- 7. https://orcid.org/0000-0001-9395-3764
- 8. mailto:scmmal@leeds.ac.uk
- 9. https://archive.researchdata.leeds.ac.uk/464/1/AAQQAC.XML
- 10. https://archive.researchdata.leeds.ac.uk/464/1/AAQQAC.XML
- 11. https://archive.researchdata.leeds.ac.uk/464/1/AAQQAC.XML
- 12. https://archive.researchdata.leeds.ac.uk/464/1/AAQQAC.XML
- 13. https://archive.researchdata.leeds.ac.uk/464/2/AAQQAC.xlsx
- 14. https://archive.researchdata.leeds.ac.uk/464/2/AAQQAC.xlsx
- 15. https://archive.researchdata.leeds.ac.uk/464/2/AAQQAC.xlsx
- 16. https://archive.researchdata.leeds.ac.uk/464/2/AAQQAC.xlsx