Hugging Face's dataset library, filtered specifically to the medical domain.
Summary of https://huggingface.co/datasets?other=medical
About this Filtered Collection:
Hugging Face provides an extensive collection of datasets in various medical domains, ideal for fine-tuning AI models specialized in healthcare and clinical tasks. These datasets include medical question-answering, clinical dialogues, medical imaging, reasoning tasks, and more.
Common Use Cases:
- Medical Q&A model training
- Clinical text summarization
- Diagnostic reasoning and clinical decision-making
- Medical text classification and NLP tasks
- Healthcare chatbot development
- Biomedical research and semantic analysis
Popular Medical Datasets on Hugging Face:
- PubMedQA: Biomedical question-answering dataset extracted from PubMed articles.
- MedMCQA: Multiple-choice medical questions covering a wide range of medical knowledge.
- MIMIC-III Clinical Database: De-identified clinical notes and structured data from intensive care unit (ICU) patients.
- CORD-19: COVID-19 Open Research Dataset for coronavirus literature and research tasks.
- medical_dialog: Medical dialogue datasets for conversational AI and patient interactions.