When2Speak: A Dataset for Temporal Participation and Turn-Taking in Multi-Party Conversations for Large Language Models

When2Speak is a new synthetic dataset and four-stage generation pipeline designed to teach Large Language Models (LLMs) appropriate intervention timing in multi-party conversations. It addresses the challenge of avoiding excessive interruptions and improving conversational coherence in group interactions.