Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks
Published: 13 October 2023| Version 1 | DOI: 10.17632/rnyrpzyw3h.1
Contributors:
, , , Description
This dataset consists of reviews collected from restaurants on a Korean delivery app platform running a review event. A total of 128,668 reviews were collected from 136 restaurants by crawling reviews using the Selenium library in Python. The 136 chosen restaurants run review events which demand customers to write reviews with 5 stars and photos. So the annotation of data was done by considering 1) whether the review gives five-star ratings, and 2) whether the review contains photo(s).
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Institutions
University of Seoul
Categories
Computer Science, Artificial Intelligence, Data Mining, Natural Language Processing