MedNLI
N/A
GitHub Stars
N/A
Open Issues
N/A
Docker Support
N/A
Last Updated
Technical Summary
MedNLI is a dataset annotated by doctors for Natural Language Inference (NLI) in the clinical domain. It is derived from the clinical notes in MIMIC-III.
Key Capabilities
- Clinical Reasoning Evaluation: Provides a robust benchmark for evaluating how well a model understands clinical language and logic.
- Expert Annotated: The dataset was annotated by board-certified physicians, ensuring high-quality, clinically accurate logical relationships between premises and hypotheses.
- Integration with MIMIC: As an extension of MIMIC-III, it benefits from the vast surrounding ecosystem of open clinical data research.
Model Card Details
Architecture
N/A
Intended Use Cases
Natural Language Inference (NLI) in the clinical domain; determining if a clinical hypothesis is true, false, or undetermined given a clinical premise.