qbao775/naf-bench
NAF-Bench Does an LLM follow a specified reading of default negation (SLDNF / well-founded / credulous / skeptical stable-model)? Solver-certified and generated fresh so it stays contamination-free. Primary metric: JOINT accuracy — a program counts only if all four specified readings are correct. Leaderboard & code. One-click load (already split into train / dev / test) from datasets import load_dataset ds = load_dataset("qbao775/naf-bench") ds["train"] #… See the full description on the dataset page: https://huggingface.co/datasets/qbao775/naf-bench.
| Author / organization | qbao775 |
|---|---|
| License (as declared) | mit |
| Downloads | 210 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 12 August 2026 |
| Last updated at source | 14 September 2026 |
Popularity, last 3 days
210 now (-36 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from qbao775
- qbao775/PARARULE-PlusDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.