HuRDL (Human-Robot Dialogue Learning Corpus)
Introduced by Gervits et al. in How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus
The Human-Robot Dialogue Learning (HuRDL) Corpus is a dataset about asking questions in situated task-based interactions. It is a dialogue corpus collected in an online interactive virtual environment in which human participants play the role of a robot performing a collaborative tool-organization task.
Papers
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