WS-DREAM

The WSDream dataset is a large-scale collection widely used for Quality of Service (QoS) prediction tasks. It contains 1,974,675 QoS records, representing interactions between 339 users and 5,825 Web services. The dataset is structured as two user-service matrices, where rows and columns correspond to users and services, respectively, with each entry in the matrix representing response time (RT) or throughput (TP). In addition, WSDream includes geographical information related to users and services, such as country and Autonomous System (AS) details. This dataset provides a valuable resource for developing and evaluating QoS prediction models.

WSDream数据集是一款被广泛应用于服务质量（Quality of Service, QoS）预测任务的大规模数据集。它包含1,974,675条QoS记录，涵盖339位用户与5,825个Web服务之间的交互信息。该数据集以两个用户-服务矩阵的形式组织，矩阵的行与列分别对应用户与服务，矩阵中的每个条目代表响应时间（Response Time, RT）或吞吐量（Throughput, TP）。此外，WSDream还包含与用户及服务相关的地理信息，例如国家信息与自治系统（Autonomous System, AS）详情。该数据集为服务质量预测模型的开发与评估提供了宝贵的研究资源。