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metadata
license: mit
language:
  - en
tags:
  - medical
size_categories:
  - 10K<n<100K
task_categories:
  - question-answering
pretty_name: Recurv Medical Dataset

🩺 Recurv-Medical-Dataset:

License HF

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.


πŸ“ˆ Dataset Statistics

Feature Value
Number of QA Pairs 67,299
Average Question Length 420
Average Answer Length 603

πŸ“œ 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

πŸ™Œ 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.

πŸ“œ License

This model is licensed under the MIT License.


πŸ“ž Community

For questions or support, connect with us via:


🀝 Acknowledgments

Special thanks to the medical community and researchers for their valuable insights and support in building this model. Together, we’re advancing AI in healthcare.