Two trajectory datasets from Beijing and Rome

These two datsets, i.e., GeoLife and Rome, are two widely used trajectory datasets that provide valuable resources for research in the field of trajectory data mining and analysis. In our paper, we conduct extensive experiments on these datasets to evaluate the performance of our proposed method in the task of similar subtrajectory search.The Geolife dataset was recorded by 182 users utilizing GPS devices from April 2007 to August 2012, containing 17,621 trajectories with approximately 48 million trajectory points in total. The data is primarily focused in Beijing, but also includes partial trajectories from other cities and regions. The sampling interval of this dataset typically ranges from 1-5 seconds, ensuring high data quality. Geolife also includes labels for users' modes of transportation, such as walking, biking, and driving, providing valuable training data for studying transportation mode recognition.The Rome dataset originates from the GPS trajectory records of 320 taxis in Rome, Italy, spanning from February 2014 to March 2014. This dataset contains 367,052 trajectories, stored in CSV format. The Rome dataset provides a large number of real-world examples of vehicles moving through complex road networks, making it highly suitable for evaluating trajectory reconstruction, path planning, and other trajectory mining algorithms in practical scenarios.These two datasets have broad applicational value in the field of trajectory data mining.