The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found geolife.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found geolife.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset title: Geolife.
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 dataset was collected by Microsoft Research Asia.
Collection date: Data was collected between 2007 and 2012 (the text also notes a 2007–2011 range).
Research methodology and tools used for data acquisition: Data was gathered from 182 users. For the benchmark, the dataset was filtered to include only points registered within Beijing. 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 contains over 17,000 trajectories and 25 million GPS points. Each point includes geospatial information, a timestamp, and the mode of transportation (e.g., walking, driving, cycling). Due to licensing compatibility, training and test splits are provided as lists of trajectory IDs, which can be linked with original data available here
Data sharing and licensing conditions (license): Research only
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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