Datasets › Probability words NLI
Probability words NLI (Natural language inference with words estimative of probability (WEP))
This dataset tests the capabilities of language models to correctly capture the meaning of words denoting probabilities (WEP), e.g. words like "probably", "maybe", "surely", "impossible".
We used probabilitic soft logic to combine probabilistic statements expressed with WEP (WEP-Reasoning) and we also used the UNLI dataset (https://nlp.jhu.edu/unli/) to directly check whether models can detect the WEP matching human-annotated probabilities. The dataset can be used as natural langauge inference data (context, premise, label) or multiple choice question answering (context,valid_hypothesis, invalid_hypothesis).
Benchmarks archive 2025-07-28
All 1 leaderboard 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 | Probability words NLI | roberta-base-mnli 1:1 Accuracy 48.5 | Probing neural language models for understanding of... | — | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper 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 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Probing neural language models for understanding of words of estimative probability | 0 | 1 | 7 Nov 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Apache-2.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Probability words NLI
1 variant name, as the archive lists them.
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