semantic-vad
semantic-vad-eot
Semantic-VAD EOT
End-of-turn (semantic VAD) turns built from word-level forced alignments, schema-compatible
with livekit/eot-bench-data.
Each row is one user turn: an audio clip (16 kHz mp3), its words, and ordered
silence_spans. Per the eot-bench convention the last silence span is the true
end-of-turn (eot); earlier spans are mid-turn hold pauses (labels positional, not stored).
Splits
For every data type, all shards except the last form the train base; that… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/semantic-vad-eot.SemanticVAD-Dataset
SemanticVAD 对话状态检测数据集 🌟
数据集简介
本数据集为全双工人机语音交互系统提供语义级语音活动检测（Semantic Voice Activity Detection）任务的训练与测试支持，包含15,000条训练样本和4,400条测试样本，标注质量经过大模型验证优化。
SemanticVAD 💡
SemanticVAD 通过语义理解实现智能对话状态检测，通常由轻量级语言模型实现。
输入：人机交互文本（含历史与实时对话内容） + 当前发言人标识（'human'(用户)/'agent'(模型)）
输出：四类控制标签
🗣️ human 发言时：
<完成>: 用户语义完全，模型可以开始回复。
<未完>: 用户语义未完，模型继续等待用户输入。
🤖 agent 发言时：
<打断>: 用户试图抢夺话题主导权，模型需停止当前回复并聆听用户的新发言。
<附和>: 用户赞同模型发言，模型可以继续输出。
数据集结构 🗂️
训练集（15,000条）… See the full description on the dataset page: https://huggingface.co/datasets/KE-Team/SemanticVAD-Dataset.semantic-vad-2semantic-vad-eot
Semantic VAD / EoT — Sampled Test Set (tchiayan/semantic-vad-eot)
This dataset is a small, sampled derivative of Scicom-intl/semantic-vad-eot, created for quick, lightweight evaluation and benchmarking of Semantic VAD / end-of-turn (EoT) detection models without needing to stream or download the full source dataset.
Only the test split of the source dataset is used. For each subset (language / domain), 100 examples are randomly sampled from a shuffle buffer, so this is intended… See the full description on the dataset page: https://huggingface.co/datasets/tchiayan/semantic-vad-eot.semantic-vadsemantic-vad-v7