Dataset · Hugging Face

foadnamjoo/audit-prune

Name: audit-prune
Creator: foadnamjoo
License: apache-2.0
Keywords: task_categories:question-answering, task_categories:multiple-choice, language:en, license:apache-2.0, size_categories:n<1K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, truthfulqa, benchmark

TruthfulQA-476 — a surface-form-cleaned binary-choice TruthfulQA TruthfulQA-476 is the recommended drop-in replacement for the binary-choice TruthfulQA evaluation set. It keeps 476 of the 790 original question pairs, in the original schema, chosen so that a classifier restricted to six surface features of the answer text (negation, hedging, length, token statistics) barely separates correct from incorrect answers (AUC 0.528, at the edge of statistical detectability), while the… See the full description on the dataset page: https://huggingface.co/datasets/foadnamjoo/audit-prune.

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Author / organization	foadnamjoo
License (as declared)	apache-2.0
Downloads	222 (as reported by Hugging Face)
Likes	0
Created	17 April 2026
Last updated at source	25 September 2026

truthfulqabenchmarkevaluationllmsurface-form-auditshortcut-learningTruthfulQA-476audit-prune

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