Dataset · Hugging Face

caskcsg/SafetyNIAH

Name: SafetyNIAH
Creator: caskcsg
License: cc-by-nc-4.0
Keywords: task_categories:text-classification, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2608.27580, region:us, safety, guardrail

🛡️ SafetyNIAH Safety Needle-in-a-Haystack: does a guardrail still find unsafe content when the context grows? The official benchmark of "LongGuard: Mechanistic Analysis and Training-Free Mitigation of Long-Context Failure in Safety Guardrails" (EMNLP 2026 Main). 📖 Overview Guardrails are the last line of defence in front of a deployed language model, yet they are evaluated almost entirely on short text. SafetyNIAH turns that gap into a controlled experiment: a… See the full description on the dataset page: https://huggingface.co/datasets/caskcsg/SafetyNIAH.

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Author / organization	caskcsg
License (as declared)	cc-by-nc-4.0
Downloads	129 (as reported by Hugging Face)
Likes	0
Created	27 August 2026
Last updated at source	31 August 2026

safetyguardraillong-contextneedle-in-a-haystackbenchmark

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