Update README.md

README.md

@@ -89,4 +89,174 @@ configs:
     path: data/memorial-*
   - split: yeditepe
     path: data/yeditepe-*
+license: cc-by-4.0
+language:
+  - tr
+task_categories:
+  - text-classification
+  - text-generation
+  - summarization
+  - question-answering
+tags:
+  - medical
+  - healthcare
+  - turkish
+  - hospital
+  - articles
+  - clinical-text
+size_categories:
+  - 10K<n<100K
 ---
+
+# 🏥 Turkish Hospital Medical Articles Dataset
+
+A comprehensive collection of Turkish-language medical articles from 14 major hospital and healthcare provider websites in Turkey. This dataset is designed for training and evaluating Turkish NLP models in the medical domain, including large language models (LLMs), health chatbots, medical text summarization, and clinical text classification.
+
+## 📊 Dataset Overview
+
+- **Total Articles**: ~24,612 medical articles
+- **Sources**: 14 major Turkish hospitals and healthcare providers
+- **Language**: Turkish (tr)
+- **Format**: Parquet files (one per hospital)
+- **License**: CC BY 4.0
+- **Total Size**: ~95MB
+
+## 🏥 Included Hospital Sources
+
+| Hospital                        | Dataset Split     | Description                       |
+| ------------------------------- | ----------------- | --------------------------------- |
+| **Acıbadem Hospital**           | `acibadem`        | Leading private hospital network  |
+| **Anadolu Sağlık**              | `anadolusaglik`   | Comprehensive healthcare provider |
+| **Atlas Hospital**              | `atlas`           | Specialized medical center        |
+| **Başkent İstanbul**            | `baskentistanbul` | University hospital network       |
+| **Bayındır Hospital**           | `bayindir`        | Private healthcare institution    |
+| **Florence Nightingale**        | `florence`        | Specialized hospital network      |
+| **Güven Hospital**              | `guven`           | Private medical center            |
+| **Liv Hospital**                | `liv`             | International healthcare provider |
+| **Medical Park**                | `medicalpark`     | Private hospital network          |
+| **Medical Point**               | `medicalpoint`    | Specialized medical facility      |
+| **Medicana Hospitals**          | `medicana`        | Large hospital network            |
+| **Medipol University Hospital** | `medipol`         | University medical center         |
+| **Memorial Hospital**           | `memorial`        | Private healthcare network        |
+| **Yeditepe University**         | `yeditepe`        | University hospital               |
+
+## 📋 Data Schema
+
+Each article in the dataset contains the following fields:
+
+| Field          | Type   | Description                     |
+| -------------- | ------ | ------------------------------- |
+| `url`          | string | Original article URL            |
+| `title`        | string | Article title                   |
+| `text`         | string | Full article content            |
+| `publish_date` | string | Original publication date       |
+| `update_date`  | string | Last update date                |
+| `scrape_date`  | string | Date when article was collected |
+
+## 🚀 Usage Examples
+
+### Load the entire dataset:
+
+```python
+from datasets import load_dataset
+
+# Load all hospital data
+dataset = load_dataset("alibayram/turkish-hospital-medical-articles", token="your_token")
+
+# Access specific hospital data
+acibadem_data = dataset["acibadem"]
+memorial_data = dataset["memorial"]
+```
+
+### Load specific hospitals:
+
+```python
+from datasets import load_dataset
+
+# Load only specific hospitals
+selected_hospitals = {
+    "acibadem": "acibadem.parquet",
+    "memorial": "memorial.parquet",
+    "medicana": "medicana.parquet"
+}
+
+dataset = load_dataset("alibayram/turkish-hospital-medical-articles",
+                      data_files=selected_hospitals,
+                      token="your_token")
+```
+
+### Access article examples:
+
+```python
+# Get first article from Acıbadem
+first_article = dataset["acibadem"][0]
+print(f"Title: {first_article['title']}")
+print(f"Content: {first_article['text'][:200]}...")
+print(f"Published: {first_article['publish_date']}")
+```
+
+## 🎯 Use Cases
+
+### Medical NLP Applications:
+
+- **Medical Text Classification**: Categorize articles by medical specialty
+- **Health Information Extraction**: Extract symptoms, treatments, and medical procedures
+- **Medical Question Answering**: Train models to answer health-related questions
+- **Medical Text Summarization**: Create concise summaries of medical articles
+- **Health Chatbot Training**: Develop Turkish medical chatbots
+- **Clinical Text Analysis**: Analyze medical terminology and concepts
+
+### Research Applications:
+
+- **Medical Language Modeling**: Train Turkish medical LLMs
+- **Healthcare Information Retrieval**: Build medical search systems
+- **Medical Knowledge Graph Construction**: Extract medical entities and relationships
+- **Cross-hospital Analysis**: Compare medical content across different institutions
+
+## 🔧 Data Processing
+
+The dataset has been processed to:
+
+- Remove unnecessary columns (headings, source metadata)
+- Standardize date fields
+- Ensure consistent schema across all hospital sources
+- Maintain original article content integrity
+
+## 📈 Dataset Statistics
+
+- **Total Articles**: 24,612
+- **Average Article Length**: ~500-2000 words
+- **Date Range**: Various (based on hospital website content)
+- **Medical Topics Covered**:
+  - General medicine
+  - Specialized treatments
+  - Health tips and advice
+  - Medical procedures
+  - Disease information
+  - Wellness and prevention
+
+## ⚠️ Important Notes
+
+1. **Medical Disclaimer**: This dataset contains medical information but should not be used for clinical decision-making
+2. **Language**: All content is in Turkish
+3. **Source Attribution**: Articles are from official hospital websites
+4. **Privacy**: No personal patient information is included
+5. **Accuracy**: Content accuracy depends on the original hospital websites
+
+## 🤝 Contributing
+
+This dataset is based on the original work by [umutertugrul](https://huggingface.co/umutertugrul) and has been processed and organized for improved usability.
+
+## 📄 License
+
+This dataset is licensed under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
+
+## 🙏 Acknowledgments
+
+- Original data collection by [umutertugrul](https://huggingface.co/umutertugrul)
+- Hospital websites for providing public medical content
+- Hugging Face for hosting the dataset
+
+---
+
+**For questions or issues, please open an issue on the dataset page.**