SOURCE-LINKED INTELLIGENCE
IRWOZ 2.0: A Large Language Model-driven Dialogue Dataset for Industrial Robot Conversations
IRWOZ has improved industrial human-robot interaction (HRI) dialogue systems through domain-specific annotations. However, its initial version contains substantial noise in dialogue states and utterances, limiting state-tracking accuracy. We introduce IRWOZ 2.0, which addresses these limitations through large language model (LLM) enhanced generation (Mistral/Claude-3.5) and quality refinements. Our improved dataset expands to 390 dialogues across 4 industrial domains (Assembly, Delivery, Position, Relocation), featuring manual corrections and automated typo removal. Benchmark experiments on di
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T16:08:57.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.