{"url":"/dataset/riposte","name":"Riposte!","full_name":"Riposte! A Large Corpus of Counter-Arguments","description_markdown":"From the [Riposte! A Large Corpus of Counter-Arguments\r\n](https://arxiv.org/abs/1910.03246) abstract:\r\n\r\n> Constructive feedback is an effective method for improving critical thinking skills. Counter-arguments (CAs), one form of constructive feedback, have been proven to be useful for critical thinking skills. However, little work has been done for constructing a large-scale corpus of them which can drive research on automatic generation of CAs for fallacious micro-level arguments (i.e. a single claim and premise pair). In this work, we cast providing constructive feedback as a natural language processing task and create Riposte!, a corpus of CAs, towards this goal. Produced by crowdworkers, Riposte! contains over 18k CAs. We instruct workers to first identify common fallacy types and produce a CA which identifies the fallacy. We analyze how workers create CAs and construct a baseline model based on our analysis.\r\n\r\nSome notes:\r\n\r\n- The main files of the corpus are `train.csv`, `dev.csv`, and `test.csv`, in `topic` and `no_topic` directories.\r\n- The content of these files is the annotations done by each of the crowdsourcing workers as is.\r\n- The carg column is the counter-argument produced by the annotators against the claim and premise after selecting the fallacy. The annotators would first see the `claim` and `premise`, select if the fallacy exists or not, and fill in the slots to produce the `carg`.\r\n- A multi-label representation of the corpus has been added to the `sampled` directory. The rest is the original unmodified corpus provided by the authors of the paper.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/xabierdezuazo/riposte-a-large-corpus-of-counter-arguments/settings","introduced_date":"2019-10-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/riposte-a-large-corpus-of-counter-arguments","title":"Riposte! A Large Corpus of Counter-Arguments","first_author":"Paul Reisert","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Riposte!"],"data_loaders":[],"num_papers_in_archive":1,"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."}