The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found house_sales_in_king_county.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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1029, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/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 house_sales_in_king_county.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: House Sales in King County.
Dataset authors: Julia Moska, Oleksii Furman, Kacper Kozaczko, Szymon Leszkiewicz, Jakub Polczyk, Piotr Gramacki, Piotr Szymański - Wrocław University of Science and Technology
Data authors: Public data from King County, Washington.
Date range: Sales recorded between 2014 and 2015.
Research methodology and tools used for data acquisition: The dataset was originally created to support house price prediction in 2016 for King County, Washington. 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 approximately 21,000 residential property sales records. It includes geographic coordinates, physical attributes of the property (e.g., square footage, number of rooms, condition grade), and contextual features (e.g., waterfront view).
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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