ADAM-HA: Arabic DAtaset for Matn-based Hadith Authentication
Published: 16 February 2023| Version 1 | DOI: 10.17632/t9r56fh5hm.1
Contributors:
, Description
ADAM-HA (Arabic DAtaset for Matn-based Hadith Authentication) is a new dataset for the field of hadith authentication in the Classical Arabic language. The ADAM-HA dataset is a Matn-based database that consists of a large collection of hadiths, labelled with their authenticity status. This dataset can be used for hadiths classification (accepted / rejected) using NLP and AI techniques. It contains more than 109,900 records collected from hadith books and scraped from web pages.
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Institutions
Ecole Nationale des Sciences Appliquees
Categories
Artificial Intelligence, Natural Language Processing