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kraina/philadelphia_crime

Dataset title: Philadelphia Crimes Dataset. Dataset authors: Julia Moska, Oleksii Furman, Kacper Kozaczko, Szymon Leszkiewicz, Jakub Polczyk, Piotr Gramacki, Piotr Szymański - Wrocław University of Science and Technology Data authors: The data originates from the OpenDataPhilly portal and is provided under the City of Philadelphia license. Collection date: The utilized subset of data is from the year 2023. Research methodology and tools used for data acquisition: The dataset contains reported… See the full description on the dataset page: https://huggingface.co/datasets/kraina/philadelphia_crime.

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Dataset Card

Dataset title: Philadelphia Crimes Dataset.

Dataset authors: Julia Moska, Oleksii Furman, Kacper Kozaczko, Szymon Leszkiewicz, Jakub Polczyk, Piotr Gramacki, Piotr Szymański - Wrocław University of Science and Technology

Data authors: The data originates from the OpenDataPhilly portal and is provided under the City of Philadelphia license.

Collection date: The utilized subset of data is from the year 2023.

Research methodology and tools used for data acquisition: The dataset contains reported criminal incidents from the city of Philadelphia. The datasets were preprocessed to remove incomplete entries and spatial outliers, such as records falling outside defined city boundaries. For benchmarking purposes, the data was standardized and aggregated into H3 hexagonal grids of varying resolutions using the SRAI library to establish unified training and testing splits.

Data format and structure: The dataset includes approximately 1.5 million entries. Each entry contains the date, time, and type of crime. Due to licensing restrictions, the training and test splits are shared as lists of identifiers (IDs), which can be linked with original data available here.

Data sharing and licensing conditions (license): City of Philadelphia License.

Related Publications:

  • —Julia Moska, Oleksii Furman, Kacper Kozaczko, Szymon Leszkiewicz, Jakub Polczyk, Piotr Gramacki, and Piotr Szymański. 2025. OBSR: Open Benchmark for Spatial Representations. In Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '25). Association for Computing Machinery, New York, NY, USA, 670–681. https://doi.org/10.1145/3748636.3762783

Funding: This research was funded in whole or in part by the National Science Centre, Poland grants: Preludium: 2024/53/N/ST6/03296 and Sonata: 2024/55/D/ST6/03082