README.md

---
language:
- ar
license: mit
task_categories:
- text-classification
task_ids:
- sentiment-analysis
pretty_name: Egyptian Arabic Text Classification Dataset
size_categories:
- small
---

# 📊 Egyptian Arabic Text Classification Dataset

## 🧾 Dataset Description
This dataset contains **1,353 Egyptian Arabic (colloquial) text samples** labeled for **text classification** tasks.  
Each sample consists of a short sentence describing institutional or educational features, annotated with a categorical label representing the strength or presence of the feature.

The dataset is suitable for **Natural Language Processing (NLP)** tasks such as:
- Text Classification
- Sentiment / Strength Analysis
- Feature Evaluation Models

> 🔹 Labels are assigned based on students' opinions:  
> - Positive opinions → `strong`  
> - Negative opinions → `weak`  

> ⚠️ Note: All text is in **Egyptian Arabic (عامية مصرية)**, which may require special preprocessing or tokenization.

---

## 📁 Data Structure

The dataset consists of two columns:

| Column | Description |
|------|------------|
| `text` | Egyptian Arabic textual description |
| `label` | Classification label (`strong` or `weak`) |

### ✏️ Example Samples

| text | label |
|-----|------|
| الجو في المعهد مريح وهادي | strong |
| البرامج التعليمية مش متنوعة | weak |
| الموقع الإلكتروني موجود وبيشتغل كويس | strong |

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## 🏷️ Labels
- **strong**: Positive or strong presence of the described feature.  
- **weak**: Negative or weak presence of the described feature.  

> ⚠️ Future versions of the dataset may include additional labels.

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## 🎯 Intended Use
- Training and evaluating Arabic NLP classification models  
- Academic research in educational quality assessment  
- Experiments with transformers and deep learning models  
- Benchmarking Egyptian Arabic text understanding  

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## ⚠️ Limitations
- The dataset is relatively **small** (1,353 samples) and may require augmentation for deep learning models.  
- Labels are **domain-specific** and reflect a particular evaluation context.  
- Text is in **Egyptian Colloquial Arabic**, not Modern Standard Arabic.  
- Not intended for high-stakes or real-world decision-making.  

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## ⚖️ Ethical Considerations
- The dataset does **not** contain personal or sensitive information.  
- All texts are generic and institution-related.  
- The dataset is provided for **research and educational purposes only**.  

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## 📜 License
MIT License

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## 📌 Citation
Mahmoud, A. A. (2026). *Egyptian Arabic Text Classification Dataset* [Data set]. Retrieved from Hugging Face Hub.