{"url":"/dataset/otters","name":"OTTers","full_name":null,"description_markdown":"**OTTers** is a  dataset of human one-turn topic transitions. In this task, models must connect two topics in a cooperative and coherent manner, by generating a \"bridging\" utterance connecting the new topic tot he topic of the previous conversation turn.","description_withheld":null,"homepage":"https://github.com/karinseve/OTTers","introduced_date":"2021-05-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/otters-one-turn-topic-transitions-for-open","title":"OTTers: One-turn Topic Transitions for Open-Domain Dialogue","first_author":"Karin Sevegnani","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Dialogue Generation","url":"/task/dialogue-generation","datasets_with_task":"/datasets/task/dialogue-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OTTers"],"data_loaders":[],"num_papers_in_archive":6,"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":"2026-09-25T09:33:49+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."}