ADAM-HA: Arabic DAtaset for Matn-based Hadith Authentication

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.