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ArabiCCR: A commercial Arabic ruling court cases dataset with judicial decisions
Talal Alharbi1, Tuwailaa Alshammari1, Nadiyah Almutairi2
1Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.
Abstract:
This paper presents a dataset of commercial court rulings in Saudi Arabia collected from the official Saudi Ministry of Justice website and recently made publicly available. The dataset consists of judicial decisions written in Arabic, including case narratives, legal reasoning, and final rulings. Although the original corpus includes multiple case types, this work focuses specifically on commercial cases which represent the majority of the data. The dataset was systematically extracted, cleaned, and anonymized by the redaction of personal names to support ethical use and reproducible analysis. It provides a valuable resource for research in Arabic legal text processing and judicial reasoning. The dataset can support a wide range of applications in natural language processing and artificial intelligence, including text classification, information extraction, judgment ruling prediction, and predictive modeling. The dataset can also be used to enable comparative studies between traditional machine learning and deep learning approaches. The dataset is publicly available at: https://data.mendeley.com/datasets/np538c95yy/2.
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