A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks
Islamic content is a broad and diverse domain that encompasses various sources, topics, and perspectives. However, there is a lack of comprehensive and reliable datasets that can facilitate conducting studies on Islamic content. In this paper, we present <i>fatwaset</i>, the first public...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Online Access: | https://www.mdpi.com/2306-5729/8/10/155 |
| _version_ | 1827721204467761152 |
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| author | Ohoud Alyemny Hend Al-Khalifa Abdulrahman Mirza |
| author_facet | Ohoud Alyemny Hend Al-Khalifa Abdulrahman Mirza |
| author_sort | Ohoud Alyemny |
| collection | DOAJ |
| description | Islamic content is a broad and diverse domain that encompasses various sources, topics, and perspectives. However, there is a lack of comprehensive and reliable datasets that can facilitate conducting studies on Islamic content. In this paper, we present <i>fatwaset</i>, the first public Arabic dataset of Islamic fatwas. It contains Islamic fatwas that we collected from various trusted and authenticated sources in the Islamic fatwa domain, such as agencies, religious scholars, and websites. <i>Fatwaset</i> is a rich resource as it does not only contain fatwas but also includes a considerable set of their surrounding metadata. It can be used for many natural language processing (NLP) tasks, such as language modeling, question answering, author attribution, topic identification, text classification, and text summarization. It can also support other domains that are related to Islamic culture, such as philosophy and language art. We describe the methodology and criteria we used to select the content, as well as the challenges and limitations we faced. Additionally, we perform an Exploratory Data Analysis (EDA), which investigates the dataset from different perspectives. The results of the EDA reveal important information that greatly benefits researchers in this area. |
| first_indexed | 2024-03-10T21:19:14Z |
| format | Article |
| id | doaj.art-143b07e95ab64a2eb9d0f10dc7108b50 |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-10T21:19:14Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj.art-143b07e95ab64a2eb9d0f10dc7108b502023-11-19T16:11:31ZengMDPI AGData2306-57292023-10-0181015510.3390/data8100155A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP TasksOhoud Alyemny0Hend Al-Khalifa1Abdulrahman Mirza2Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 12372, Saudi ArabiaDepartment of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh 12372, Saudi ArabiaDepartment of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 12372, Saudi ArabiaIslamic content is a broad and diverse domain that encompasses various sources, topics, and perspectives. However, there is a lack of comprehensive and reliable datasets that can facilitate conducting studies on Islamic content. In this paper, we present <i>fatwaset</i>, the first public Arabic dataset of Islamic fatwas. It contains Islamic fatwas that we collected from various trusted and authenticated sources in the Islamic fatwa domain, such as agencies, religious scholars, and websites. <i>Fatwaset</i> is a rich resource as it does not only contain fatwas but also includes a considerable set of their surrounding metadata. It can be used for many natural language processing (NLP) tasks, such as language modeling, question answering, author attribution, topic identification, text classification, and text summarization. It can also support other domains that are related to Islamic culture, such as philosophy and language art. We describe the methodology and criteria we used to select the content, as well as the challenges and limitations we faced. Additionally, we perform an Exploratory Data Analysis (EDA), which investigates the dataset from different perspectives. The results of the EDA reveal important information that greatly benefits researchers in this area.https://www.mdpi.com/2306-5729/8/10/155fatwasexploratory data analysisIslamic contentnatural language processing |
| spellingShingle | Ohoud Alyemny Hend Al-Khalifa Abdulrahman Mirza A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks Data fatwas exploratory data analysis Islamic content natural language processing |
| title | A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks |
| title_full | A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks |
| title_fullStr | A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks |
| title_full_unstemmed | A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks |
| title_short | A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks |
| title_sort | data driven exploration of a new islamic fatwas dataset for arabic nlp tasks |
| topic | fatwas exploratory data analysis Islamic content natural language processing |
| url | https://www.mdpi.com/2306-5729/8/10/155 |
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