{"url":"/dataset/weather2k","name":"Weather2K","full_name":null,"description_markdown":"A multivariate spatio-temporal benchmark dataset for meteorological forecasting based on real-time observation data from ground weather stations.","description_withheld":null,"homepage":"https://github.com/bycnfz/weather2k/","introduced_date":"2023-02-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/weather2k-a-multivariate-spatio-temporal","title":"Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations","first_author":"Xun Zhu","url":null},"license":null,"modalities":[{"name":"Environment","url":"/datasets/modality/environment"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Time Series Forecasting","url":"/task/time-series-forecasting","datasets_with_task":"/datasets/task/time-series-forecasting"},{"name":"Weather Forecasting","url":"/task/weather-forecasting","datasets_with_task":"/datasets/task/weather-forecasting"},{"name":"Spatio-Temporal Forecasting","url":"/task/spatio-temporal-forecasting","datasets_with_task":"/datasets/task/spatio-temporal-forecasting"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["Weather2K850 (96)","Weather2K850 (720)","Weather2K850 (336)","Weather2K850 (192)","Weather2K79 (96)","Weather2K79 (720)","Weather2K79 (336)","Weather2K79 (192)","Weather2K1786 (96)","Weather2K1786 (720)","Weather2K1786 (336)","Weather2K1786 (192)","Weather2K114 (96)","Weather2K114 (720)","Weather2K114 (336)","Weather2K114 (192)","Weather2K"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/time-series-forecasting-on-weather2k1786-192","task":"Time Series Forecasting","dataset_variant":"Weather2K1786 (192)","rows":2,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-RLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.581"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-weather2k1786-720","task":"Time Series Forecasting","dataset_variant":"Weather2K1786 (720)","rows":2,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-RLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.628"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-weather2k1786-96","task":"Time Series Forecasting","dataset_variant":"Weather2K1786 (96)","rows":2,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-DLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.535"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-weather2k850-96","task":"Time Series Forecasting","dataset_variant":"Weather2K850 (96)","rows":2,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-RLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.471"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; 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nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-weather2k79-336","task":"Time Series Forecasting","dataset_variant":"Weather2K79 (336)","rows":1,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-DLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.546"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-weather2k79-720","task":"Time Series Forecasting","dataset_variant":"Weather2K79 (720)","rows":1,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-DLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.535"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-weather2k79-96","task":"Time Series Forecasting","dataset_variant":"Weather2K79 (96)","rows":1,"metrics":["MSE"],"first_row_in_archive_order":{"model":"MoLE-DLinear","paper":"/paper/mixture-of-linear-experts-for-long-term-time","metrics":{"MSE":"0.555"},"code_links":[{"title":"rogerni/mole","url":"https://github.com/rogerni/mole"}]},"note":"rows are the archive's own order at snapshot; 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nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mixture-of-linear-experts-for-long-term-time","title":"Mixture-of-Linear-Experts for Long-term Time Series Forecasting","date":"2023-12-11","rows_on_this_dataset":20,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}