Datasets:
license: mit
language:
- en
tags:
- medical
size_categories:
- 10K<n<100K
task_categories:
- question-answering
pretty_name: Recurv Medical Dataset
π©Ί Recurv-Medical-Dataset:
The Recurv-Medical-Dataset is a comprehensive resource of 67,299 high-quality question-answer pairs explicitly designed for training and fine-tuning medical AI models. Curated from trusted medical sources, this dataset focuses on real-world scenarios like anamnesis, diagnostics, and treatment recommendations. It sets a new benchmark for advancing conversational AI in the healthcare domain.
π Dataset Statistics
Feature | Value |
---|---|
Number of QA Pairs | 67,299 |
Average Question Length | 420 |
Average Answer Length | 603 |
π Data Sources
Sourced from the most authoritative and trusted references in medical fields:
- PubMed and Open Access Journals
- Clinical Practice Guidelines (WHO, CDC)
- Medical Textbooks
- EHR-Simulated Data
- Peer-Reviewed Research Papers
π Contributing
We welcome contributions to enhance Recurv-Medical-Dataset. You can:
- Share feedback or suggestions on the Hugging Face Model Hub
- Submit pull requests or issues for model improvement.
π License
This model is licensed under the MIT License.
π Community
For questions or support, connect with us via:
- Twitter: RecurvAI
- Email: support@recurvai.com
π€ Acknowledgments
Special thanks to the medical community and researchers for their valuable insights and support in building this model. Together, weβre advancing AI in healthcare.