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Datasets:
Ahmed-Selem
/
Shifaa_Arabic_Medical_Consultations

Tasks:
Question Answering
Text Classification
Text Generation
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
10K - 100K
Tags:
medical
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
1
Shifaa_Arabic_Medical_Consultations
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---
license: apache-2.0
language:
- ar
pretty_name: s
task_categories:
- question-answering
- text-classification
- text-generation
- zero-shot-classification
tags:
- medical
size_categories:
- 10K<n<100K
---
# Shifaa Arabic Medical Consultations 🏥📊  

![Shifaa Logo](Shifaa.png)  

## 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 📊  

![Dataset Distribution](path_to_data_distribution.png)  

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**:  

![Obstetrics and Gynecology Hierarchy](path_to_obstetrics_hierarchy.png)  


### Word Cloud 🌟  

![Word Cloud](path_to_wordcloud.png)  

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](https://www.islamweb.net/) 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")