{"url":"/dataset/iam-dataset","name":"IAM Dataset","full_name":"A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","description_markdown":"We introduce a large and comprehensive dataset to facilitate the study of several essential AM tasks in the debating system. In our work, we first review the existing subtasks (claim extraction, stance classification, evidence extraction), and then propose two integrated argument mining tasks: claim extraction with stance classification (CESC) and claim-evidence pair extraction (CEPE).","description_withheld":null,"homepage":"","introduced_date":"2022-03-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/iam-a-comprehensive-and-large-scale-dataset","title":"IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","first_author":"Liying Cheng","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Claim Extraction with Stance Classification (CESC)","url":"/task/claim-extraction-with-stance-classification","datasets_with_task":"/datasets/task/claim-extraction-with-stance-classification"},{"name":"Claim-Evidence Pair Extraction (CEPE)","url":"/task/claim-evidence-pair-extraction-cepe","datasets_with_task":"/datasets/task/claim-evidence-pair-extraction-cepe"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["IAM Dataset"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/claim-evidence-pair-extraction-cepe-on-iam","task":"Claim-Evidence Pair Extraction (CEPE)","dataset_variant":"IAM Dataset","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"Multi-task","paper":"/paper/iam-a-comprehensive-and-large-scale-dataset","metrics":{"F1":"35.92"},"code_links":[{"title":"liyingcheng95/iam","url":"https://github.com/liyingcheng95/iam"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/claim-extraction-with-stance-classification","task":"Claim Extraction with Stance Classification (CESC)","dataset_variant":"IAM Dataset","rows":1,"metrics":["Macro F1"],"first_row_in_archive_order":{"model":"Multi-label","paper":"/paper/iam-a-comprehensive-and-large-scale-dataset","metrics":{"Macro F1":"60.25"},"code_links":[{"title":"liyingcheng95/iam","url":"https://github.com/liyingcheng95/iam"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/iam-a-comprehensive-and-large-scale-dataset","title":"IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","date":"2022-03-23","rows_on_this_dataset":2,"code_links":1,"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."}