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.
📈 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 the Solana ecosystem:
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.
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