Datasetpublic

Ahmed-Selem/Shifaa_Arabic_Medical_Consultations

Shifaa Arabic Medical Consultations 🏥📊 Overview 🌍 Shifaa is revolutionizing Arabic medical AI by addressing the critical gap in Arabic medical datasets. Our first contribution is the Shifaa Arabic Medical Consultations dataset, a comprehensive collection of 84,422 real-world medical consultations covering 16 Main Specializations and 585 Hierarchical Diagnoses. 🔍 Why is this dataset important? First large-scale Arabic medical dataset for AI… See the full description on the dataset page: https://huggingface.co/datasets/Ahmed-Selem/Shifaa_Arabic_Medical_Consultations.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Dataset Card

Shifaa Arabic Medical Consultations 🏥📊

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Overview 🌍

Shifaa is revolutionizing Arabic medical AI by addressing the critical gap in Arabic medical datasets. Our first contribution is the Shifaa Arabic Medical Consultations dataset, a comprehensive collection of 84,422 real-world medical consultations covering 16 Main Specializations and 585 Hierarchical Diagnoses.

🔍 Why is this dataset important?

—First large-scale Arabic medical dataset for AI applications.
—Highly structured and clean – no missing values, duplicates, or unnecessary columns.
—Hierarchical categorization of medical specialties for better NLP and AI training.
—Detailed responses (273 words on average) provide deep medical insights.

Dataset Details 📑

—Number of consultations: 84,422
—Main Specializations: 16
—Hierarchical Diagnoses: 585
—Average answer length: 273 words
—Languages: Arabic

Data Distribution 📊

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The dataset covers a wide range of medical fields, making it suitable for various AI-driven applications such as: ✅ Medical Chatbots 🤖 ✅ Predictive Models 🔮 ✅ AI-powered Recommendation Systems 🏥 ✅ Arabic Medical NLP Research 📖

Data Hierarchy 🌐

Our dataset follows a hierarchical structure to enhance precision and usability. Example for Obstetrics and Gynecology:

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Word Cloud 🌟

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This word cloud visualizes the most frequently used words in questions and answers related to muscle diseases.

Data Source 🔗

The dataset was collected from the Islam Web website using web-scraping tools.

Preprocessing & Cleaning 🛠️

✔ Removed duplicates and null values ✔ Corrected corrupted data ✔ Standardized hierarchical categories for consistency ✔ Eliminated hidden spaces and excess words

Usage & Applications 🚀

Shifaa Arabic Medical Consultations is designed for AI and NLP applications, making it ideal for:

—Medical Question Answering Systems
—Arabic Medical Chatbots
—AI-powered Medical Assistants
—Healthcare Research & AI-driven Text Analysis

How to Use 📥

Download the dataset from Hugging Face and start building your Arabic medical AI applications!

python

from datasets import load_dataset

dataset = load_dataset("Ahmed-Selem/Shifaa_Arabic_Medical_Consultations")