The archive contains two datasets that have been used to empirically evaluate MAT-Builder, a system to generate multiple aspect trajectories. The first one is located in the "rome" folder and contains 26395 trajectories from 3181 individuals. The trajectories move over the city of Rome and were collected from OpenStreetMap. The folder contains also auxiliary datasets, i.e., the set of POIs within the province of Rome's boundaries (downloaded from OpenStreetMap) (see the "poi" subfolder), historical weather information (downloaded from Meteostat https://meteostat.net/it/) (see the "weather" subfolder), and a dataset of social media posts from the individuals which was generated synthetically (see the "tweets" subfolder). All the datasets are pandas dataframes, except for the POI dataset which is a geopandas DataFrame. All the datasets have been stored according to the parquet format.
The second one is located in the "geolife" folder, and contains the GeoLife dataset. The dataset contains 17621 trajectories from 178 users. The timestamps of the trajectory samples have been adjusted from the GMT to the GMT+8 timezone. As in the former dataset's case, this folder contains also a dataset of POIs, a dataset of historical weather information, and a dataset of social media posts that were generated synthetically. For more information on the MAT-Builder project (i.e., published papers, how to use to datasets, how the information within the datasets is structured, and so on) we refer to the MAT-Builder's GitHub page: https://github.com/chiarap2/MAT_Builder.

The archive contains two datasets that have been used to empirically evaluate MAT-Builder, a system to generate multiple aspect trajectories. The first one is located in the "rome" folder and contains 26395 trajectories from 3181 individuals. The trajectories move over the city of Rome and were collected from OpenStreetMap. The folder contains also auxiliary datasets, i.e., the set of POIs within the province of Rome's boundaries (downloaded from OpenStreetMap) (see the "poi" subfolder), historical weather information (downloaded from Meteostat https://meteostat.net/it/) (see the "weather" subfolder), and a dataset of social media posts from the individuals which was generated synthetically (see the "tweets" subfolder). All the datasets are pandas dataframes, except for the POI dataset which is a geopandas DataFrame. All the datasets have been stored according to the parquet format.
The second one is located in the "geolife" folder, and contains the GeoLife dataset. The dataset contains 17621 trajectories from 178 users. The timestamps of the trajectory samples have been adjusted from the GMT to the GMT+8 timezone. As in the former dataset's case, this folder contains also a dataset of POIs, a dataset of historical weather information, and a dataset of social media posts that were generated synthetically. For more information on the MAT-Builder project (i.e., published papers, how to use to datasets, how the information within the datasets is structured, and so on) we refer to the MAT-Builder's GitHub page: https://github.com/chiarap2/MAT_Builder.