{"url":"/dataset/dbates","name":"DBATES","full_name":"DataBase of Audio features, Text and visual Expressions in competitive debate Speeches","description_markdown":"DBATES is a database of multimodal communication features extracted from debate speeches in the 2019 North American Universities Debate Championships (NAUDC).\r\n\r\n**Author's note:** If you want to access the dataset for research purposes, please email the authors.\r\n\r\nImage source: [https://arxiv.org/pdf/2103.14189v1.pdf](https://arxiv.org/pdf/2103.14189v1.pdf)","description_withheld":null,"homepage":"https://arxiv.org/pdf/2103.14189v1.pdf","introduced_date":"2021-03-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/dbates-database-of-audio-features-text-and","title":"DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches","first_author":"Taylan K. Sen","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["DBATES"],"data_loaders":[],"num_papers_in_archive":2,"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."}