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.