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Dataset · Hugging Face

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 / organizationqbao775
License (as declared)mit
Downloads210 (as reported by Hugging Face)
Likes0
Created12 August 2026
Last updated at source14 September 2026
reasoninglogicnegationbenchmark
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