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Dataset · Hugging Face

McGill-NLP/SpeechJBB

SpeechJBB Dataset Description SpeechJBB is an audio benchmark for evaluating safety alignment and comprehension in large audio language models (LALMs) under multilingual and code-switched speech. It is designed to test whether models consistently refuse harmful spoken requests when prompts are expressed in monolingual speech, code-switched speech, and code-switched speech with natural-sounding pseudo-word obfuscation. The benchmark extends JailbreakBench into… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/SpeechJBB.

Author / organizationMcGill-NLP
License (as declared)other
Downloads22.1K (as reported by Hugging Face)
Likes4
Created14 May 2026
Last updated at source7 July 2026
audiospeechmultilingualcode-switchingsafetyred-teamingjailbreak-evaluationlarge-audio-language-modelssynthetic-speechbenchmark
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