Datasets:
DOI:
License:
| license: cc-by-4.0 | |
| Dataset title: Airbnb. | |
| 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 Airbnb platform and was fetched via the InsideAirbnb.com service. | |
| Collection date: Data was collected from June 5, 2022, to May 18, 2023. | |
| Research methodology and tools used for data acquisition: Data spans 80 cities worldwide. The dataset was preprocessed to remove incomplete entries. Six representative cities from different countries were selected for the benchmark. 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 contains detailed information about short-term rental listings, encompassing approximately 3.1 million records. Entries include geographic location, property attributes (room type, price, availability), host activity, and review metrics. | |
| Data sharing and licensing conditions (license): CC BY 4.0. | |
| 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 |