{"url":"/dataset/beijing","name":"Beijing Traffic","full_name":null,"description_markdown":"The Beijing Traffic Dataset collects traffic speeds at 5-minute granularity for 3126 roadway segments in Beijing between 2022/05/12 and 2022/07/25.","description_withheld":null,"homepage":"https://github.com/deepkashiwa20/Urban_Concept_Drift","introduced_date":"2023-09-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/memda-forecasting-urban-time-series-with","title":"MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation","first_author":"Zekun Cai","url":null},"license":null,"modalities":[{"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":"Multivariate Time Series Forecasting","url":"/task/multivariate-time-series-forecasting","datasets_with_task":"/datasets/task/multivariate-time-series-forecasting"},{"name":"Traffic Prediction","url":"/task/traffic-prediction","datasets_with_task":"/datasets/task/traffic-prediction"},{"name":"Time Series Prediction","url":"/task/time-series-prediction","datasets_with_task":"/datasets/task/time-series-prediction"},{"name":"Spatio-Temporal Forecasting","url":"/task/spatio-temporal-forecasting","datasets_with_task":"/datasets/task/spatio-temporal-forecasting"}],"languages":[],"variants":["Beijing Traffic"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/traffic-prediction-on-beijing","task":"Traffic Prediction","dataset_variant":"Beijing Traffic","rows":1,"metrics":["MAE"],"first_row_in_archive_order":{"model":"MemDA","paper":"/paper/memda-forecasting-urban-time-series-with","metrics":{"MAE":"3.192"},"code_links":[{"title":"zekun-cai/koodos","url":"https://github.com/zekun-cai/koodos"},{"title":"deepkashiwa20/Urban_Concept_Drift","url":"https://github.com/deepkashiwa20/Urban_Concept_Drift"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/memda-forecasting-urban-time-series-with","title":"MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation","date":"2023-09-25","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}