IBM-ArgQ-Rank-30kArgs
收藏arXiv2019-11-26 更新2024-06-21 收录
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资源简介：
IBM-ArgQ-Rank-30kArgs是由IBM研究院创建的大规模数据集，包含30,497条精心标注的论点，用于论点质量排序研究。该数据集通过众包平台Figure Eight收集，涵盖71个争议性话题，每个话题下有支持与反对的论点。数据集的创建过程严格控制论点长度，并实施了质量控制措施。该数据集主要应用于自动决策支持、论点搜索和写作辅助等领域，旨在提高论点质量评估的准确性和效率。
IBM-ArgQ-Rank-30kArgs is a large-scale dataset developed by IBM Research, containing 30,497 meticulously annotated arguments for argument quality ranking research. Collected via the crowdsourcing platform Figure Eight, this dataset covers 71 controversial topics, with pro and con arguments under each topic. The dataset development process strictly constrains argument length and implements quality control measures. It is mainly applied in fields including automated decision support, argument search and writing assistance, aiming to improve the accuracy and efficiency of argument quality assessment.
提供机构：
IBM研究院
创建时间：
2019-11-26
