---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  - name: publish_date
    dtype: string
  - name: update_date
    dtype: string
  - name: scrape_date
    dtype: string
  splits:
  - name: acibadem
    num_bytes: 59871616
    num_examples: 6339
  - name: anadolusaglik
    num_bytes: 7711085
    num_examples: 1012
  - name: atlas
    num_bytes: 659835
    num_examples: 130
  - name: baskentistanbul
    num_bytes: 1632855
    num_examples: 394
  - name: bayindir
    num_bytes: 3985692
    num_examples: 690
  - name: florence
    num_bytes: 12815638
    num_examples: 1641
  - name: guven
    num_bytes: 4279987
    num_examples: 666
  - name: liv
    num_bytes: 19820891
    num_examples: 2836
  - name: medicalpark
    num_bytes: 3323029
    num_examples: 371
  - name: medicalpoint
    num_bytes: 2374940
    num_examples: 654
  - name: medicana
    num_bytes: 17090402
    num_examples: 2163
  - name: medipol
    num_bytes: 7876549
    num_examples: 1380
  - name: memorial
    num_bytes: 44864194
    num_examples: 5338
  - name: yeditepe
    num_bytes: 5203404
    num_examples: 998
  download_size: 89711227
  dataset_size: 191510117
configs:
- config_name: default
  data_files:
  - split: acibadem
    path: data/acibadem-*
  - split: anadolusaglik
    path: data/anadolusaglik-*
  - split: atlas
    path: data/atlas-*
  - split: baskentistanbul
    path: data/baskentistanbul-*
  - split: bayindir
    path: data/bayindir-*
  - split: florence
    path: data/florence-*
  - split: guven
    path: data/guven-*
  - split: liv
    path: data/liv-*
  - split: medicalpark
    path: data/medicalpark-*
  - split: medicalpoint
    path: data/medicalpoint-*
  - split: medicana
    path: data/medicana-*
  - split: medipol
    path: data/medipol-*
  - split: memorial
    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.**