Minimal derivative dataset for REI–RPI framework (Amazon Books Reviews)

This file contains the minimal derivative dataset required to reproduce the REI and RPI indices presented in the manuscript "A Two-Dimensional Framework for Profiling Online Reviewer Behaviour".The dataset includes cleaned observations and reviewers with at least three ratings. To comply with PLOS ONE data privacy policies, the dataset has been fully anonymized: all usernames and personally identifiable information (PII) have been removed.Only the variables strictly necessary for computing the REI and RPI measures are provided: Id (book Id), Anonymized User_id, Title, review/helpfulness, review/score).The raw Amazon Book Reviews dataset is not included, as it originates from an external public repository (Kaggle – Mohamed Bakhet, 2022) and is not owned by the authors. Users wishing to access the full raw dataset may obtain it directly from the original source:https://www.kaggle.com/datasets/mohamedbakhet/amazon-books-reviews/dataThis derivative dataset is released for the purpose of ensuring reproducibility in compliance with PLOS ONE data policies.