{"url":"/dataset/wdc-dialogue","name":"WDC-Dialogue","full_name":null,"description_markdown":"**WDC-Dialogue** is a dataset built from the Chinese social media to train EVA. Specifically, conversations from various sources are gathered and a rigorous data cleaning pipeline is designed to enforce the quality of WDC-Dialogue. \r\n\r\nThe dataset mainly focuses on three categories of textual interaction data, i.e., repost on social media, comment / reply on various online forums and online question and answer (Q&A) exchanges. Each round of these textual interactions yields a dialogue session via well-designed parsing rules.","description_withheld":null,"homepage":"https://github.com/thu-coai/EVA","introduced_date":"2021-08-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/eva-an-open-domain-chinese-dialogue-system","title":"EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training","first_author":"Hao Zhou","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Dialogue Understanding","url":"/task/dialogue-understanding","datasets_with_task":"/datasets/task/dialogue-understanding"},{"name":"Dialogue Generation","url":"/task/dialogue-generation","datasets_with_task":"/datasets/task/dialogue-generation"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["WDC-Dialogue"],"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."}