{"url":"/dataset/d-occ","name":"D-OCC","full_name":"Dynamic-OneCommon Corpus","description_markdown":"**D-OCC** is a large-scale dataset of 5,617 dialogues to enable fine-grained evaluation and analysis of various dialogue systems. It is used to study common grounding in dynamic environments.","description_withheld":null,"homepage":"https://github.com/Alab-NII/dynamic-onecommon","introduced_date":"2021-05-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/maintaining-common-ground-in-dynamic","title":"Maintaining Common Ground in Dynamic Environments","first_author":"Takuma Udagawa","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["D-OCC"],"data_loaders":[],"num_papers_in_archive":1,"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."}