{"url":"/dataset/talkdown","name":"TalkDown","full_name":null,"description_markdown":"**TalkDown** is a labelled dataset for condescension detection in context. The dataset is derived from Reddit, a set of online communities that is diverse in content and tone. The dataset is built from COMMENT and REPLY pairs in which the REPLY targets a specific quoted span (QUOTED) in the COMMENT as being condescending. The dataset contains 3,255 positive (condescend) samples and 3,255 negative ones.\n\nSource: [https://arxiv.org/pdf/1909.11272.pdf](https://arxiv.org/pdf/1909.11272.pdf)","description_withheld":null,"homepage":"https://github.com/zijwang/talkdown","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/talkdown-a-corpus-for-condescension-detection","title":"TalkDown: A Corpus for Condescension Detection in Context","first_author":"Zijian Wang","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Abusive Language","url":"/task/abusive-language","datasets_with_task":"/datasets/task/abusive-language"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TalkDown"],"data_loaders":[{"repo":"https://github.com/zijwang/talkdown","url":"https://github.com/zijwang/talkdown","frameworks":["pytorch"]}],"num_papers_in_archive":8,"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."}