Age Dataset
收藏arXiv2025-09-30 收录
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http://pan.webis.de/clef16/pan16-web/author-profiling.html
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资源简介:
该数据集是从推特中提取的作者分析数据集,旨在预测输入推文的作者所处的年龄范围。年龄范围被划分为五个类别:18-24岁、25-34岁、35-49岁、50-64岁以及65岁以上。数据规模方面,训练样本有68,485条,开发样本4,000条,测试样本也是4,000条。该任务属于作者特征分析。
This is an author analysis dataset extracted from Twitter, which aims to predict the age range of the author of the input Tweets. The age ranges are divided into five categories: 18–24 years, 25–34 years, 35–49 years, 50–64 years, and 65 years and older. In terms of dataset scale, there are 68,485 training samples, 4,000 development samples, and 4,000 test samples. This task falls under the domain of author profiling.



