halimbahae/Adala_Fonction_Publique_Maroc_Arabic_json_dataset

🏛️ Adala Fonction Publique Maroc Arabic Dataset

This dataset contains structured legal data extracted from Moroccan public service law texts, sourced from adala.justice.gov.ma. The content is in Arabic and is designed to support NLP and AI applications in legal tech, especially for Moroccan administrative and public law.

📂 Dataset Structure

• —Format: JSON
• —Language: Arabic (Standard & Legal dialect)
• —Content: Articles, chapters, titles from Moroccan public law texts (وظيفة عمومية)
• —Use case: Named Entity Recognition (NER), Question Answering (QA), Legal Text Classification, Arabic LLM Finetuning

🧠 Example (JSON Sample)

{
  "title": "الوظيفة العمومية",
  "chapter": "الباب الأول: أحكام عامة",
  "article_number": "المادة 1",
  "article_text": "يعتبر موظفا كل شخص يعين في وظيفة قارة ويرسم في إحدى رتب السلم الإداري."
}

🛠️ How to Use

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

from datasets import load_dataset

dataset = load_dataset("halimbahae/Adala_Fonction_Publique_Maroc_Arabic_json_dataset")

📚 Applications

• —Fine-tuning Arabic LLMs (e.g., Zephyr, LLaMA, NOOR)
• —Legal chatbot training
• —Governmental document classification
• —Semantic search or RAG (Retrieval-Augmented Generation)
• —Legal Arabic NLP research

📜 License

Apache 2.0 — You are free to use, modify, and distribute this dataset with attribution.

🤝 Contributions & Contact

This dataset is maintained by Bahae Eddine Halim, AI Researcher @ MDS 🇲🇦

Feel free to contribute or reach out via LinkedIn or GitHub.