Synthetic Dataset for the Privacy Risk Index (PRI) Model

This dataset contains 500 synthetic web tracking environments generatedto evaluate the Privacy Risk Index (PRI) model described in: Rohit Kumar, "A Unified Privacy Risk Index for Quantifying Ecosystem-Level Web Tracking Leakage." The dataset includes normalized values of identifier entropy,tracker density, cross-site behavioral correlation,third-party data-sharing ratio, network leakage coefficient,and computed PRI scores. The dataset was generated using Python with NumPy and NetworkX.