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Sanadset 650K: Data on Hadith narrators
The chain of narrators (Sanad) plays a vital role in deciding the authenticity of Islamic hadiths. However, the investigation and validation of such Sanad fully depend on scientists (Hadith Scholars). They ordinarily utilize their acquired knowledge, which in this manner needs a critical sum of exer...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440281/ https://www.ncbi.nlm.nih.gov/pubmed/36065202 http://dx.doi.org/10.1016/j.dib.2022.108540 |
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author | Mghari, Mohammed Bouras, Omar El Hibaoui, Abdelaaziz |
author_facet | Mghari, Mohammed Bouras, Omar El Hibaoui, Abdelaaziz |
author_sort | Mghari, Mohammed |
collection | PubMed |
description | The chain of narrators (Sanad) plays a vital role in deciding the authenticity of Islamic hadiths. However, the investigation and validation of such Sanad fully depend on scientists (Hadith Scholars). They ordinarily utilize their acquired knowledge, which in this manner needs a critical sum of exertion and time. Automated Sanad evaluation using machine learning algorithms is the best way to solve this problem. Therefore, a representative Sanad dataset is required. This paper presents a full hadith dataset which is named Sanadset and is made openly accessible for researchers. Sanadset corpus contains over 650,986 records collected from 926 historical Arabic books of hadith. This dataset can be used for further investigation and classification of hadiths (Strong/Weak), and narrators (trustworthy/not) using AI techniques, and also it can be used as a linguistic resource tool for Arabic Natural Language Processing. Our dataset is collected from online Hadith sources using data scraping and web crawling. The main contribution of this dataset is the extraction of narrator chains that were originally present in textual form within Hadith books. Each observation in the dataset contains complete information about a specific hadith, such as (original book, number, Hadith text, Matn, list of narrators, and the number of narrators). |
format | Online Article Text |
id | pubmed-9440281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94402812022-09-04 Sanadset 650K: Data on Hadith narrators Mghari, Mohammed Bouras, Omar El Hibaoui, Abdelaaziz Data Brief Data Article The chain of narrators (Sanad) plays a vital role in deciding the authenticity of Islamic hadiths. However, the investigation and validation of such Sanad fully depend on scientists (Hadith Scholars). They ordinarily utilize their acquired knowledge, which in this manner needs a critical sum of exertion and time. Automated Sanad evaluation using machine learning algorithms is the best way to solve this problem. Therefore, a representative Sanad dataset is required. This paper presents a full hadith dataset which is named Sanadset and is made openly accessible for researchers. Sanadset corpus contains over 650,986 records collected from 926 historical Arabic books of hadith. This dataset can be used for further investigation and classification of hadiths (Strong/Weak), and narrators (trustworthy/not) using AI techniques, and also it can be used as a linguistic resource tool for Arabic Natural Language Processing. Our dataset is collected from online Hadith sources using data scraping and web crawling. The main contribution of this dataset is the extraction of narrator chains that were originally present in textual form within Hadith books. Each observation in the dataset contains complete information about a specific hadith, such as (original book, number, Hadith text, Matn, list of narrators, and the number of narrators). Elsevier 2022-08-17 /pmc/articles/PMC9440281/ /pubmed/36065202 http://dx.doi.org/10.1016/j.dib.2022.108540 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Mghari, Mohammed Bouras, Omar El Hibaoui, Abdelaaziz Sanadset 650K: Data on Hadith narrators |
title | Sanadset 650K: Data on Hadith narrators |
title_full | Sanadset 650K: Data on Hadith narrators |
title_fullStr | Sanadset 650K: Data on Hadith narrators |
title_full_unstemmed | Sanadset 650K: Data on Hadith narrators |
title_short | Sanadset 650K: Data on Hadith narrators |
title_sort | sanadset 650k: data on hadith narrators |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440281/ https://www.ncbi.nlm.nih.gov/pubmed/36065202 http://dx.doi.org/10.1016/j.dib.2022.108540 |
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