wpt-dataset

The WPT dataset was specially created for "Web Page Tampering Detection Based on Dynamic Temporal Graph Pre-training" and encompasses over 200,000 regular web pages from 75 websites across the finance, healthcare, and education sectors, in addition to 1,541 tampered examples sourced from zone-h.org. This dataset organizes web pages as nodes and their links as edges within a discrete dynamic graph structure, capturing snapshots at various moments in time. Each node integrates structural, textual, and statistical features into a robust 148-dimensional feature vector for every page. Data storage is facilitated through DGL's save_graphs() interface, ensuring a structured and readily accessible graph data format. This dataset serves as a critical asset for pioneering research into web page integrity and security analysis, offering essential support for the development and benchmarking of tamper detection algorithms.

WPT数据集系为“基于动态时序图预训练的网页篡改检测”而专门构建，涵盖来自金融、医疗和教育三个领域的75个网站超过20万个常规网页，此外还包含来自zone-h.org的1,541个篡改示例。该数据集将网页组织为节点，将链接组织为边，在离散动态图结构中构建，并在不同时间点捕获快照。每个节点将结构、文本和统计特征整合为一个包含每个页面148个维度的稳健特征向量。数据存储通过DGL的save_graphs()接口实现，确保了结构化且易于访问的图数据格式。该数据集作为网页完整性和安全性分析领域开创性研究的核心资产，为篡改检测算法的开发和基准测试提供了至关重要的支持。