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RecurvAI
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Recurv-Medical-Dataset

Tasks:
Question Answering
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Languages:
English
Size:
10K - 100K
Tags:
medical
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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.

📈 Dataset Statistics

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

📜 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

🙌 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.

📜 License

This model is licensed under the MIT License.

📞 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.