IBM-ArgQ-6.3kArgs
收藏arXiv2019-09-03 更新2024-06-21 收录
下载链接:
https://www.research.ibm.com/haifa/dept/vst/debating_data.shtml#ArgumentQuality
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资源简介:
IBM-ArgQ-6.3kArgs数据集由IBM研究院创建,包含6300个经过精心标注的论据,每个论据都明确标注了质量评分。数据集通过在线和现场实验收集,主要来源包括辩论俱乐部成员和参与实验的广泛观众。创建过程中,研究人员选择了11个争议性概念,并通过辩论术语制定了两个对立的政策或观点。数据集的应用领域包括自动化决策支持、论据搜索和写作支持,旨在通过高质量论据提升决策过程。
The IBM-ArgQ-6.3kArgs dataset was developed by IBM Research, comprising 6,300 meticulously annotated arguments, each of which is explicitly labeled with a quality score. The dataset was collected via both online and on-site experiments, with its primary sources being debate club members and a broad audience participating in the experiments. During the dataset's creation, researchers selected 11 controversial concepts and formulated two opposing policy stances or viewpoints using debate-specific terminology. Its application domains include automated decision support, argument search and writing assistance, with the goal of enhancing decision-making processes through high-quality arguments.
提供机构:
IBM研究院
创建时间:
2019-09-03



