{"url":"/dataset/hurdl","name":"HuRDL","full_name":"Human-Robot Dialogue Learning Corpus","description_markdown":"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.","description_withheld":null,"homepage":"https://github.com/USArmyResearchLab/ARL-HuRDL","introduced_date":"2021-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/how-should-agents-ask-questions-for-situated","title":"How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus","first_author":"Felix Gervits","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["HuRDL"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}