Clinical Dataset
The Recurv Clinical Dataset is a comprehensive resource containing 12,631 high-quality question-answer pairs specifically designed for training and fine-tuning medical AI models. Curated from trusted medical sources, this dataset focuses on real-world scenarios, including patient history, diagnostics, and treatment recommendations. It sets a new benchmark for advancing conversational AI in the healthcare field.
📈 Dataset Statistics
Feature
Value
Number of QA Pairs
12,631
Average Question Length
51
Average Answer Length
1304
📜 Data Sources
Sourced from the most authoritative and trusted references in the medical field:
Clinical Practice Guidelines (WHO, CDC)
Medical Textbooks
🙌 Contributing
We welcome contributions to enhance the Recurv-Clinical-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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