Physiotherapy Articles

The Physiotherapy Articles dataset comprises approximately 5,000 articles of in-depth physiotherapy content, authored and edited by qualified physiotherapists and healthcare professionals. With a total volume of 90 million tokens, the dataset is presented in JSON format and includes rich metadata such as titles, summaries, categories, edit history, and reference links. This comprehensive and well-structured collection is ideal for training and fine-tuning AI models in healthcare-related applications.

Leverage this dataset for:

- Creating Personalized Health Recommendation Systems: Employ the dataset to train AI models that offer personalized physiotherapy advice and exercise plans, improving patient engagement and outcomes.

This dataset is ideal for

- Fine-Tuning Large Language Models for Healthcare Applications: Utilize the dataset to fine-tune LLMs, enhancing their ability to understand and generate physiotherapy-related content, thus improving applications like virtual health assistants and automated documentation tools.

-Enhancing Search and Information Retrieval Systems: Use the structured metadata to improve the performance of search engines and information retrieval systems within healthcare platforms, enabling users to find relevant physiotherapy content more efficiently.

Technical Specifications

• Type: Text
• Quantity: 90,000,000 tokens
• Domain: Healthcare
• Language: English (en-XX)
• Metadata: Page Title, URL/Slug, Meta Description, Canonical URL, Title, Summary, Category, Date Created, Last Updated, Edit History, References & Citations, View Count, Edit Count, Search Queries, Internal Links, External Links, Page ID, Parent Page, Content Status, Redirects
• File Format: JSON

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Ethical Data Collection

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License Information

This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.