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kxxia/SID-bench

Semantic Interruption Detection Benchmark A multilingual benchmark for evaluating semantic interruption detection in conversational speech. The dataset contains annotated audio recordings in English and Mandarin Chinese, along with a silence/noise negative set, designed to test models that decide when (and whether) to interrupt a speaker. Overview In spoken dialogue systems and voice assistants, knowing when to interrupt a speaker — and detecting interruption… See the full description on the dataset page: https://huggingface.co/datasets/kxxia/SID-bench.

Author / organizationkxxia
Downloads726 (as reported by Hugging Face)
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Created20 May 2026
Last updated at source20 May 2026
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  • 17 Oct 2026 Description: Semantic Interruption Detection Benchmark A multilingual benchmark for evaluating semantic interruption detection in conversational speech. The dataset contains annotated audio recordings in English and Mandarin Chinese, along with a silenc → Semantic Interruption Detection Benchmark A multilingual benchmark for evaluating semantic interruption detection in conversational speech. The dataset contains annotated audio recordings in English and Mandarin Chinese, along with a silenc

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