Datasets › Thunder-NUBench
Thunder-NUBench
Thunder-NUBench (Negation Understanding Benchmark) is a benchmark specifically designed to evaluate large language models’ (LLMs) sentence-level understanding of negation. Thunder-NUBench introduces rich, manually curated sentence pairs and multiple-choice tasks that contrast standard negation with structurally similar distractors (e.g., local negation, contradiction, paraphrase). The goal is to probe semantic-level understanding of negation.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
CC BY-NC-SA
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Thunder-NUBench
1 variant name, as the archive lists them.
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