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Rakuten Data Release: A Large-Scale and Long-Term Reviews Corpus for Hotel Domain

Published: December 17, 2025 | arXiv ID: 2512.15151v1

By: Yuki Nakayama , Koki Hikichi , Yun Ching Liu and more

BigTech Affiliations: Rakuten

Potential Business Impact:

Helps hotels understand customer feedback better.

Business Areas:
Text Analytics Data and Analytics, Software

This paper presents a large-scale corpus of Rakuten Travel Reviews. Our collection contains 7.3 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 different 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.

Country of Origin
🇯🇵 Japan

Repos / Data Links

Page Count
6 pages

Category
Computer Science:
Computation and Language