tkawen/algerian-drug-nomenclature

🇩🇿 Algerian Drug Nomenclature — Nomenclature Nationale des Médicaments

A clean, structured, PII-free reference dataset of pharmaceutical products authorised for the Algerian market, derived from the official Nomenclature Nationale des Médicaments (Ministère de la Santé, Algeria).

This is reference product data — registration numbers, INNs, brand names, dosages, manufacturers, and reimbursement status. It contains no personal, patient, or transactional data of any kind.

Published by TKAWEN as part of our open-data program: well-curated, openly licensed datasets for Algerian and Maghrebi AI.

---

📊 At a glance

Records	4,627 registered products
Distinct INNs (active substances)	1,365
Manufacturers / decision holders	827
Reimbursable (CNAS/CASNOS)	3,268
Format	single UTF-8 CSV
PII	none

---

🧬 Schema

Column	Description
id	Row identifier
registration_number	National registration number (numéro d'enregistrement)
code	Nomenclature code
inn	International Non-proprietary Name — the active substance (DCI)
brand_name	Commercial brand name (nom de marque)
form	Galenic form (tablet, syrup, injection…)
dosage	Strength / concentration
packaging	Conditioning (conditionnement)
list	Regulatory list (Liste I / Liste II…)
p1, p2	Dispensing setting flags (HOP = hospital, OFF = officine/pharmacy)
observation	Free-text notes
laboratory	Holder of the registration decision
laboratory_country	Country of the holder laboratory
registration_date_initial	Initial registration date
registration_date_final	Latest registration date
type	Product type (e.g. Ge = generic)
status	Registration status
shelf_life	Stated stability / shelf life
price_decision	Price carried on the registration decision
reimbursable	Reimbursement eligibility (OUI / blank)

---

🚀 Usage

from datasets import load_dataset

ds = load_dataset("tkawen/algerian-drug-nomenclature", split="train")
print(ds[0])

# e.g. every reimbursable generic
generics = ds.filter(lambda r: r["type"] == "Ge" and r["reimbursable"] == "OUI")

import pandas as pd
df = pd.read_csv("hf://datasets/tkawen/algerian-drug-nomenclature/algerian_drug_nomenclature.csv")
df.groupby("inn").size().sort_values(ascending=False).head(20)

---

💡 Intended uses

• Pharmacy & health-tech software — drug autocomplete, code/INN lookup, CHIFA/CNAS-compatible product references.
• Pharmacovigilance & research — generic-vs-brand mapping, manufacturer landscape, reimbursement analysis.
• NLP for the Maghreb — entity normalisation of Algerian drug names (FR/AR), retrieval and matching.
• Education — a real, well-shaped tabular dataset for teaching.

⚠️ Limitations & responsible use

• This is a historical snapshot of the national nomenclature, not a live regulatory feed. Registration status, prices, and reimbursement can change. Always verify against the current official source before any clinical, dispensing, or billing decision.
• Prices are as carried on the registration decision and are not a real-time market price.
• Not medical advice. Not a substitute for the prescriber, the pharmacist, or official CNAS/CASNOS rules.

📜 Source & license

• Primary source: Nomenclature Nationale des Médicaments — Ministère de la Santé, République Algérienne (official public nomenclature).
• Cleaned, normalised, and re-published with English column names by TKAWEN.
• License: CC BY 4.0 — free to use with attribution.

🔒 Privacy

By design this dataset is reference product data only. It contains no patient data, no prescriptions, no transactions, and no personal information. This reflects TKAWEN's core principle: anonymized features and reference data, never PII.

---

TKAWEN · Engineering Trust · Empowering Minds · Algeria 🇩🇿 → Maghreb → World

🌍 tkawen.com · 🧠 ask.tkawen.com · 🛡️ trust.tkawen.com