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Dataset title: Chicago Crime 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 comes from the CLEAR (Citizen Law Enforcement Analysis and Reporting) system of the Chicago Police Department.
Data creation and/or collection date: From January 2020 to December 2022. A subset from the year 2022 was utilized for the benchmark.
Research methodology and tools used for data acquisition: A log of reported criminal incidents (excluding homicides). Before inclusion in the benchmark, records located outside the city boundaries were filtered out. 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: Over 500,000 reported criminal incidents. Each entry provides the exact time, location, and type of crime.
Data sharing and licensing conditions (license): CC0 (Public Domain).
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
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