---
license: cc-by-4.0
language:
- tr
pretty_name: umuter
task_categories:
- text-classification
- text-generation
- summarization
- question-answering
tags:
- medical
size_categories:
- 10K<n<100K
---
# 🩺 Doktorsitesi.com Turkish Medical Articles

This dataset contains Turkish medical articles scraped from [doktorsitesi.com](https://www.doktorsitesi.com), a public health information portal featuring content written by licensed healthcare professionals in Turkey.

The dataset is intended for use in **natural language processing (NLP)**, **language model training**, and **health-related AI research** involving the Turkish language.

> 🧾 Number of articles: ~43K  
> 🗂️ Format: `.parquet`  
> 📁 File size: ~110 MB  
> 👤 Curated by: [umutertugrul](https://huggingface.co/umutertugrul)  
> 🔓 License: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

---

## 📁 Files

| Filename                       | Description                            |
|--------------------------------|----------------------------------------|
| `doktorsitesi_articles.parquet` | Full set of Turkish medical articles   |
| `sample.parquet`               | First 1000 entries (for preview use)   |

---

## 🔤 Schema

Each row in the `.parquet` file contains:

- `url`: Original URL of the article on doktorsitesi.com  
- `title`: The title of the medical article  
- `text`: The full body content of the article  
- `name`: Author or medical professional who wrote the article  
- `branch`: The medical specialty or department of the author (e.g., dermatology, dentistry)  
- `publish_date`: The date the article was originally published  
- `scrape_date`: The date the article was scraped from the website

---

## 🚀 How to Use

```python
from datasets import load_dataset

dataset = load_dataset("umutertugrul/turkish-medical-articles")