anyreach-ai/semantic-turn-taking-benchmark

Semantic Turn-Taking Benchmark A curated evaluation benchmark for semantic turn-taking models in voice AI. Given a conversation context, predict what action the AI agent should take: speak, listen, continue speaking, or continue listening. Unlike acoustic-based approaches (VAD, silence detection), this benchmark tests whether a model can make turn-taking decisions from text/semantic content alone. Action Classes Action Description start_speaking User… See the full description on the dataset page: https://huggingface.co/datasets/anyreach-ai/semantic-turn-taking-benchmark.