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 / organization | McGill-NLP |
|---|---|
| License (as declared) | other |
| Downloads | 22.1K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 14 May 2026 |
| Last updated at source | 7 July 2026 |
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