christopher/args_me

args.me语料库（版本1.0，清理后）包含从2019年中期的四个辩论门户网站（Debatewise、IDebate.org、Debatepedia和Debate.org）爬取的382,545个论点。这些论点使用针对每个辩论门户设计的启发式方法提取。语料库是单语言的，仅包含英语（主要是美式英语）文档。数据集支持文档检索和有争议问题的论点检索任务。The args.me Corpus (Version 1.0, cleaned) contains 382,545 arguments crawled from four debate portals in mid-2019: Debatewise, IDebate.org, Debatepedia, and Debate.org. These arguments were extracted using heuristic methods tailored for each of these debate portals. The corpus is monolingual, containing only English documents, predominantly American English. This dataset supports document retrieval and argument retrieval tasks for controversial issues.

原始信息汇总

数据集概述

• 名称: Webis args.me argument corpus

• 版本: 1.0, cleaned

• 语言: 英语（en-US）

• 许可证: Creative Commons Attribution 4.0 International (CC BY 4.0)

• 数据来源: 原始数据，从四个辩论门户网站（Debatewise, IDebate.org, Debatepedia, Debate.org）爬取

• 数据量: 382,545个辩论观点

• 任务类型: 文档检索, 争议问题中的论点检索

• 数据结构:

  • 实例: 包含结论、ID、论点、立场等字段

  • 示例:

    {conclusion: Science is the best!, id: d6517702-2019-04-18T12:36:24Z-00000-000, argument: Science is aright I guess, but Physical Education (P.E) is better. Think about it, you could sit in a classroom for and hour learning about molecular reconfiguration, or you could play football with your mates. Why would you want to learn about molecular reconfiguration anyway? I think the argument here would be based on, healthy mind or healthy body. With science being the healthy mind and P.E being the healthy body. To work this one out all you got to do is ask Steven Hawkins. Only 500 words, stance: CON}

• 使用示例: python import datasets args = datasets.load_dataset(cakiki/args_me, corpus, streaming=True) args_iterator = iter(args) for arg in args_iterator: print(args[conclusion]) print(args[id]) print(args[argument]) print(args[stance]) break

• 引用信息:

  @dataset{yamen_ajjour_2020_4139439, author = {Yamen Ajjour and Henning Wachsmuth and Johannes Kiesel and Martin Potthast and Matthias Hagen and Benno Stein}, title = {args.me corpus}, month = oct, year = 2020, publisher = {Zenodo}, version = {1.0-cleaned}, doi = {10.5281/zenodo.4139439}, url = {https://doi.org/10.5281/zenodo.4139439} }