alibayram/doktorsitesi-articles

👨‍⚕️ Turkish Doctor Articles Dataset (DoktorSitesi)

A comprehensive collection of Turkish-language medical articles written by certified doctors and medical professionals from DoktorSitesi.com. This dataset contains expert medical content covering various specialties, treatments, and health topics, making it ideal for training Turkish medical NLP models and healthcare applications.

📊 Dataset Overview

• Total Articles: 42,804 medical articles
• Train Split: 34,243 articles
• Test Split: 8,561 articles
• Language: Turkish (tr)
• Source: DoktorSitesi.com medical blog platform
• Original Dataset: Based on umutertugrul/turkish-medical-articles
• License: CC BY 4.0
• Total Size: ~197MB

🏥 Dataset Features

Medical Specialties Covered:

• Medical Aesthetics (Medikal Estetik)
• Dermatology (Dermatoloji)
• Plastic Surgery (Plastik Cerrahi)
• General Medicine (Genel Tıp)
• Dental Health (Diş Sağlığı)
• Cosmetic Procedures (Kozmetik İşlemler)
• Anti-aging Treatments (Yaşlanma Karşıtı Tedaviler)
• And many more medical specialties

Content Types:

• Medical treatment explanations
• Procedure descriptions
• Health advice and tips
• Treatment options and alternatives
• Medical technology information
• Patient education materials

📋 Data Schema

Each article in the dataset contains the following fields:

Field	Type	Description
url	string	Original article URL on DoktorSitesi.com
title	string	Article title
text	string	Full article content
name	string	Doctor's name
branch	string	Doctor's medical specialty/branch
publish_date	string	Original publication date
scrape_date	string	Date when article was collected

🚀 Usage Examples

Load the entire dataset:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("alibayram/doktorsitesi-articles", token="your_token")

# Access train and test splits
train_data = dataset["train"]
test_data = dataset["test"]

Load specific splits:

from datasets import load_dataset

# Load only training data
train_dataset = load_dataset("alibayram/doktorsitesi-articles",
                           split="train",
                           token="your_token")

# Load only test data
test_dataset = load_dataset("alibayram/doktorsitesi-articles",
                          split="test",
                          token="your_token")

Access article examples:

# Get first article from training set
first_article = dataset["train"][0]
print(f"Title: {first_article['title']}")
print(f"Doctor: {first_article['name']}")
print(f"Specialty: {first_article['branch']}")
print(f"Content: {first_article['text'][:200]}...")
print(f"Published: {first_article['publish_date']}")

Filter by doctor specialty:

# Find articles by specific medical specialties
aesthetic_articles = [article for article in dataset["train"]
                     if "estetik" in article["branch"].lower()]

dermatology_articles = [article for article in dataset["train"]
                       if "dermatoloji" in article["branch"].lower()]

🎯 Use Cases

Medical NLP Applications:

• Medical Text Classification: Categorize articles by medical specialty
• Doctor Information Extraction: Extract doctor names, specialties, and credentials
• Medical Procedure Recognition: Identify and classify medical treatments
• Health Information Retrieval: Build medical search systems
• Medical Question Answering: Train models to answer health-related questions
• Medical Text Summarization: Create concise summaries of medical articles

Research Applications:

• Medical Language Modeling: Train Turkish medical LLMs
• Doctor-Patient Communication Analysis: Study medical communication patterns
• Medical Knowledge Graph Construction: Extract medical entities and relationships
• Healthcare Content Analysis: Analyze medical writing styles and topics
• Medical Education: Develop educational content for medical students

Healthcare Technology:

• Medical Chatbot Training: Develop Turkish medical chatbots
• Health Information Systems: Build patient education platforms
• Medical Content Recommendation: Create systems to recommend relevant medical content
• Clinical Decision Support: Develop tools for medical professionals

📈 Dataset Statistics

• Total Articles: 42,804
• Train Split: 34,243 articles (~80%)
• Test Split: 8,561 articles (~20%)
• Average Article Length: ~500-1500 words
• Date Range: Various (based on DoktorSitesi.com content)
• Medical Topics Covered:
  • Medical aesthetics and cosmetic procedures
  • Dermatological treatments
  • Anti-aging therapies
  • Plastic surgery information
  • General health advice
  • Medical technology and innovations

🔧 Data Quality Features

The dataset includes:

• Expert Authorship: All articles written by certified medical professionals
• Specialty Information: Clear identification of doctor specialties
• Structured Content: Well-organized medical articles
• Turkish Medical Terminology: Rich medical vocabulary in Turkish
• Treatment Descriptions: Detailed explanations of medical procedures
• Patient Education: Patient-friendly medical information

⚠️ 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 DoktorSitesi.com with doctor attribution
4. Privacy: No personal patient information is included
5. Accuracy: Content accuracy depends on the original doctor-authored articles
6. Medical Expertise: Articles are written by qualified medical professionals

🏥 Medical Content Categories

The dataset covers various medical specialties including:

• Aesthetic Medicine: Botox, fillers, skin treatments
• Dermatology: Skin conditions, treatments, procedures
• Plastic Surgery: Surgical and non-surgical procedures
• Dental Health: Oral health and dental procedures
• Anti-aging: Age-related treatments and therapies
• Cosmetic Procedures: Beauty and enhancement treatments

🤝 Contributing

This dataset is based on the original work by umutertugrul and has been processed and organized for improved usability. The source data comes from publicly available medical articles on DoktorSitesi.com.

📄 License

This dataset is licensed under the Creative Commons Attribution 4.0 International License.

🙏 Acknowledgments

• Original data collection by umutertugrul
• DoktorSitesi.com for providing the medical content platform
• Medical professionals who contributed articles
• Hugging Face for hosting the dataset

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For questions or issues, please open an issue on the dataset page.