{"url":"/dataset/argscichat","name":"ArgSciChat","full_name":null,"description_markdown":"**ArgSciChat** is an argumentative dialogue dataset. It consists of 498 messages collected from 41 dialogues on 20 scientific papers. It can be used to evaluate conversational agents and further encourage research on argumentative scientific agents.","description_withheld":null,"homepage":"https://github.com/federicoruggeri/argscichat_project","introduced_date":"2022-02-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/argscichat-a-dataset-for-argumentative","title":"ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers","first_author":"Federico Ruggeri","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Response Generation","url":"/task/response-generation","datasets_with_task":"/datasets/task/response-generation"},{"name":"Fact Selection","url":"/task/fact-selection","datasets_with_task":"/datasets/task/fact-selection"}],"languages":[],"variants":["ArgSciChat"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fact-selection-on-argscichat","task":"Fact Selection","dataset_variant":"ArgSciChat","rows":4,"metrics":["Fact-F1"],"first_row_in_archive_order":{"model":"TF-IDF","paper":"/paper/argscichat-a-dataset-for-argumentative","metrics":{"Fact-F1":"16.22"},"code_links":[{"title":"ukplab/arxiv2022-argscichat","url":"https://github.com/ukplab/arxiv2022-argscichat"},{"title":"federicoruggeri/argscichat_project","url":"https://github.com/federicoruggeri/argscichat_project"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/response-generation-on-argscichat","task":"Response Generation","dataset_variant":"ArgSciChat","rows":3,"metrics":["Message-F1","BScore","Mover"],"first_row_in_archive_order":{"model":"LED(Q,F)","paper":"/paper/argscichat-a-dataset-for-argumentative","metrics":{"BScore":"86.64","Message-F1":"19.54","Mover":" 8.53"},"code_links":[{"title":"ukplab/arxiv2022-argscichat","url":"https://github.com/ukplab/arxiv2022-argscichat"},{"title":"federicoruggeri/argscichat_project","url":"https://github.com/federicoruggeri/argscichat_project"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/argscichat-a-dataset-for-argumentative","title":"ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers","date":"2022-02-14","rows_on_this_dataset":7,"code_links":2,"syntology":null}],"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."}