This paper presents a large-scale corpus of Rakuten Travel Reviews. Our collection contains 7.29 million customer reviews for 16 years, ranging from 2009 to 2024. Each record in the dataset contains the review text, its response from an accommodation, an anonymized reviewer ID, review date, accommodation ID, plan ID, plan title, room type, room name, purpose, accompanying group, and user ratings from six aspect categories, as well as an overall score. We present statistical information about our corpus and provide insights into factors driving data drift between 2019 and 2024 using statistical approaches.

翻译：本文介绍了一个大规模的乐天旅行评论语料库。我们的收集涵盖了从2009年至2024年共16年间的729万条客户评论。数据集中的每条记录包含评论文本、住宿方的回复、匿名化的评论者ID、评论日期、住宿ID、方案ID、方案标题、房间类型、房间名称、出行目的、同行人员、六个方面的用户评分以及一个总体评分。我们展示了该语料库的统计信息，并运用统计方法深入分析了2019年至2024年间导致数据漂移的因素。