Performance of different augmented writing tools on german job ads

This dataset was created as part of an empirical analysis of four German-language augmented writing technologies for detecting gender exclusion. For this purpose, approximately 160,000 job postings from three different platforms were collected and evaluated using the technologies. The dataset primarily contains the number of expressions extracted per job posting, as well as the gender scores and categories calculated by the technologies. Together with variable descriptions and the list of keywords used to sample the leading positions, this dataset serves as additional information for a manuscript under review.本数据集系为开展四项面向德语的增强型写作技术检测性别排斥现象的实证分析而构建。为此，研究人员从三个不同平台采集约16万条招聘启事，并依托上述技术对其开展评估。本数据集核心包含每条招聘启事所提取的表述数量，以及各技术计算得到的性别得分与分类结果。本数据集连同变量说明，以及用于抽样头部职位的关键词列表，将作为待审手稿的补充研究资料。