Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas
Abstract Deep learning has significantly advanced the question-answering (QA) systems across various sectors. However, Arabic-language systems for Hajj-related fatwas (non-binding Islamic legal opinions issued by muftis) remain underdeveloped. This paper introduces Hajj-FQA, a benchmark Arabic datas...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Springer
2025-07-01
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| Serija: | Journal of King Saud University: Computer and Information Sciences |
| Teme: | |
| Online dostop: | https://doi.org/10.1007/s44443-025-00128-w |
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