University-of-Dubai/arabic-legal-text

UAE Arabic Legal Text Corpus

Dataset Description

This repository contains a curated corpus of United Arab Emirates (UAE) legal texts, structured specifically for Natural Language Processing (NLP) tasks.

The dataset is maintained by University of Dubai Research to support research in:

• Arabic legal intelligence
• Automated summarization
• Retrieval-Augmented Generation (RAG)
• Legal information systems

Key Information

• Curated by: Mohamed Asath (BuildingTHEITGUY) & University of Dubai Research
• Language: Arabic (Modern Standard / Legal)
• License: Creative Commons Attribution 4.0 (CC BY 4.0)
• Repository:
  https://github.com/University-of-Dubai-Research/arabic-legal-text

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Supported Tasks

• Legal Text Classification
  Categorizing texts into Civil, Criminal, Commercial, Labor, Cybersecurity, etc.

• Legal Information Retrieval
  Building search and semantic retrieval systems for UAE laws.

• Language Modeling
  Fine-tuning Large Language Models (LLMs) on domain-specific Arabic legal terminology.

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Dataset Structure

The dataset is formatted using JSON Lines (JSONL).
Each line represents a distinct legal article or provision.

Data Fields

• text — Full content of the legal article or provision
• source — Name of the law or decree
• year — Year of issuance
• category — Legal domain (e.g., Cybersecurity, Penal, Labor)

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Example Instance

{
  "text": "تسري أحكام هذا القانون على جرائم تقنية المعلومات...",
  "source": "UAE Federal Decree-Law No. 34 on Rumors and Cybercrimes",
  "category": "Cybersecurity",
  "year": 2026
}

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Usage

You can load this dataset directly in Python using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("University-of-Dubai/arabic-legal-text")

# Print the first example
print(dataset['train'][0])

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Citation

If you use this dataset in your research or academic work, please cite it as follows:

@dataset{university_of_dubai_arabic_legal_2026,
  author    = {Asath, Mohamed and University of Dubai},
  title     = {UAE Arabic Legal Text Corpus},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/University-of-Dubai/arabic-legal-text}
}

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Contribution & Governance

This dataset is managed via GitHub to ensure version control and academic integrity.

Faculty/Researchers: Please push your data updates to the GitHub Repository.

Automation: Changes on GitHub are automatically validated and synced to Hugging Face.

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Contributors

• Mohamed Asath (Lead Maintainer)
• [Future Faculty contributors can be added here]