Datasets › MedNLI

MedNLI (Medical Natural Language Inference)

archive 2025-07-28

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)PaperCode
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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