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abdnaouri/morocco-public-buyers-directory

🏛️ Directory of Moroccan Public Buyers & Contracting Authorities Maintained by Soumit Intelligence EngineThe official open ontology and knowledge graph of Moroccan Contracting Authorities (Maîtres d'Ouvrage), Ministries, CHUs, State-Owned Enterprises (EEP), Regional Councils, and Urban Communes. 📌 Overview This dataset maps the entire institutional landscape of Moroccan public procurement, categorized under the regulatory framework of Décret n° 2-22-431… See the full description on the dataset page: https://huggingface.co/datasets/abdnaouri/morocco-public-buyers-directory.

sourceHugging Facecc-by-nc-4.0updated 19d agoView on Hugging Face
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🏛️ Directory of Moroccan Public Buyers & Contracting Authorities

![Live Platform](https://soumit.ma) ![Data License-orange?style=for-the-badge)](https://creativecommons.org/licenses/by-nc/4.0/) ![Framework](https://soumit.ma/tendances)

Maintained by [Soumit Intelligence Engine](https://soumit.ma) The official open ontology and knowledge graph of Moroccan Contracting Authorities (Maîtres d'Ouvrage), Ministries, CHUs, State-Owned Enterprises (EEP), Regional Councils, and Urban Communes.

📌 Overview

This dataset maps the entire institutional landscape of Moroccan public procurement, categorized under the regulatory framework of Décret n° 2-22-431 relative aux marchés publics.

Key Fields

  • —buyer_id: Unique identifier (e.g. MA-MIN-001, MA-CHU-001, MA-EEP-001).
  • —name_fr: Full official French title.
  • —name_ar: Full official Arabic title (باللغة العربية).
  • —category: Institutional category (Ministère, CHU, Établissement Public, Société d'État, Collectivité Territoriale).
  • —region: Official 1 of the 12 administrative regions of Morocco.
  • —city: Primary headquarters location.
  • —primary_sector: Primary procurement spending sector.
  • —website: Official portal link.
  • —public_tender_portal_code: Portal reference abbreviation.

💻 Python Usage

python
from datasets import load_dataset

dataset = load_dataset("xoniques/morocco-public-buyers-directory")
df = dataset["train"].to_pandas()

# Filter CHUs & Healthcare buyers in Casablanca-Settat
health_buyers = df[(df["region"] == "Casablanca-Settat") & (df["category"] == "CHU")]
print(health_buyers[["name_fr", "name_ar", "city"]])

🌐 Real-Time Live Intelligence Platform

Discover active opportunities, awarded contracts, and supplier intelligence at: 👉 [https://soumit.ma](https://soumit.ma)