{"url":"/dataset/ibm-rank-30k","name":"IBM-Rank-30k","full_name":"IBM-ArgQ-Rank-30kArgs","description_markdown":"The IBM-Rank-30k is a dataset for the task of argument quality ranking. It is a corpus of 30,497 arguments carefully annotated for point-wise quality.\r\n\r\nImage Source: [A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis](https://arxiv.org/pdf/1911.11408v1.pdf)","description_withheld":null,"homepage":"https://www.research.ibm.com/haifa/dept/vst/debating_data.shtml","introduced_date":"2019-11-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-large-scale-dataset-for-argument-quality","title":"A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis","first_author":"Shai Gretz","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["IBM-Rank-30k"],"data_loaders":[{"repo":"https://github.com/Faizan-116/demo","url":"https://github.com/Faizan-116/demo","frameworks":["tf"]}],"num_papers_in_archive":6,"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."}