Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
medical
License:
Update README.md
Browse files
README.md
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---
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license: mit
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---
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license: mit
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language:
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- en
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tags:
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- medical
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size_categories:
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- 10K<n<100K
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task_categories:
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- question-answering
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pretty_name: Recurv Medical Dataset
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---
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# 🩺 Recurv-Medical-Dataset:
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[](https://opensource.org/license/MIT)
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[](https://huggingface.co/RecurvAI/Recurv-Medical-Dataset)
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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.
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---
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## 📈 **Dataset Statistics**
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| **Feature** | **Value** |
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|-----------------------------|-----------------|
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| Number of QA Pairs | 67,299 |
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| Average Question Length | 420 |
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| Average Answer Length | 603 |
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---
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## 📜 **Data Sources**
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Sourced from the most **authoritative and trusted references** in the Solana ecosystem:
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* **PubMed and Open Access Journals**
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* **Clinical Practice Guidelines (WHO, CDC)**
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* **Medical Textbooks**
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* **EHR-Simulated Data**
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* **Peer-Reviewed Research Papers**
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---
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## 🙌 **Contributing**
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We welcome contributions to enhance Recurv-Medical-Llama. You can:
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- Share feedback or suggestions on the Hugging Face Model Hub
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- Submit pull requests or issues for model improvement.
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---
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## 📜 **License**
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This model is licensed under the **MIT License**.
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---
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## 📞 **Community**
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For questions or support, connect with us via:
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- **Twitter**: [RecurvAI](https://x.com/recurvai)
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- **Email**: [support@recurvai.com](mailto:support@recurvai.com)
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---
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## 🤝 **Acknowledgments**
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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.
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