Datasets › MedNLI
MedNLI (Medical Natural Language Inference)
The MedNLI dataset consists of the sentence pairs developed by Physicians from the Past Medical History section of MIMIC-III clinical notes annotated for Definitely True, Maybe True and Definitely False. The dataset contains 11,232 training, 1,395 development and 1,422 test instances. This provides a natural language inference task (NLI) grounded in the medical history of patients.
Source: MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning Image Source: https://arxiv.org/abs/1904.02181
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Natural Language Inference | MedNLI | ClinicalMosaic Accuracy 86.59 | Patient Trajectory Prediction: Integrating Clinical... | MostHumble/PatientTrajectoryForecasting | 7 | Compare |
| Few-Shot Learning | MedNLI | CoT-T5-11B (1024 Shot) Accuracy 78.02 | The CoT Collection: Improving Zero-shot and Few-shot... | kaistai/cot-collection +1 | 1 | Compare |
Papers archive 2025-07-28
8 shown of 8 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 9. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MedNLI
1 variant name, as the archive lists them.
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