Published October 2, 2025 | Version v1.0
Dataset Open

ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection

Authors/Creators

  • 1. ROR icon Queen Mary University of London
  • 2. ROR icon National University of Distance Education

Description

The ALHD (Arabic LLM and Human Dataset) is a large-scale, multigenre, and comprehensive Arabic dataset explicitly designed to distinguish between human- and LLM-generated texts. ALHD spans three genres (news, social media, reviews), covering both MSA and dialectal Arabic, and contains over 400K balanced samples generated by three leading LLMs and originated from multiple human sources, which enables studying generalizability in Arabic LLM-genearted text detection

Files

ALHD_balanced_10percent.csv

Files (3.0 GB)

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Additional details

Software

Repository URL
https://github.com/alikhairallah/ALHD-Benchmarking
Programming language
Python
Development Status
Active

References

  • Boujou, ElMehdi, et al. "An open access nlp dataset for arabic dialects: Data collection, labeling, and model construction." arXiv preprint arXiv:2102.11000 (2021).
  • Altamimi, Mohammed, and Abdulaziz M. Alayba. "ANAD: Arabic news article dataset." Data in Brief 50 (2023): 109460.
  • Einea, Omar, Ashraf Elnagar, and Ridhwan Al Debsi. "Sanad: Single-label arabic news articles dataset for automatic text categorization." Data in brief 25 (2019): 104076.
  • Elnagar, Ashraf, and Omar Einea. "BRAD 1.0: Book reviews in Arabic dataset." 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA). IEEE, 2016.
  • Elnagar, Ashraf, Yasmin S. Khalifa, and Anas Einea. "Hotel Arabic-reviews dataset construction for sentiment analysis applications." Intelligent natural language processing: Trends and applications. Cham: Springer International Publishing, 2017. 35-52.
  • Al-Fetyani, Mohammad, et al. "Masc: Massive arabic speech corpus." 2022 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2023.