{"url":"/dataset/pemsd7","name":"PeMSD7","full_name":null,"description_markdown":"PeMSD7 is traffic data in District 7 of California consisting of the traffic speed of 228 sensors while the period is from May to June in 2012 (only weekdays) with a time interval of 5 minutes. This dataset is popular for benchmark the traffic forecasting models.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":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":"Correlated Time Series Forecasting","url":"/task/correlated-time-series-forecasting","datasets_with_task":"/datasets/task/correlated-time-series-forecasting"}],"languages":[],"variants":["PeMSD7"],"data_loaders":[{"repo":"https://github.com/omniking1221/trafficflow124","url":"https://github.com/omniking1221/trafficflow124","frameworks":[]}],"num_papers_in_archive":26,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/traffic-prediction-on-pemsd7","task":"Traffic Prediction","dataset_variant":"PeMSD7","rows":8,"metrics":["12 steps MAE","12 steps MAPE","12 steps RMSE"],"first_row_in_archive_order":{"model":"STD-MAE","paper":"/paper/spatio-temporal-decoupled-masked-pre-training","metrics":{"12 steps MAE":"18.31","12 steps MAPE":"7.72","12 steps RMSE":"31.07"},"code_links":[{"title":"jimmy-7664/std-mae","url":"https://github.com/jimmy-7664/std-mae"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-forecasting-on-pemsd7","task":"Time Series Forecasting","dataset_variant":"PeMSD7","rows":7,"metrics":["9 steps MAE"],"first_row_in_archive_order":{"model":"STGCN-Cov","paper":"/paper/conditional-temporal-neural-processes-with","metrics":{"9 steps MAE":"3.51"},"code_links":[{"title":"boseon-ai/Conditional-Temporal-Neural-Processes-with-Covariance-Loss","url":"https://github.com/boseon-ai/Conditional-Temporal-Neural-Processes-with-Covariance-Loss"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/pattern-matching-dynamic-memory-network-for-1","title":"Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction","date":"2024-08-12","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/spatio-temporal-decoupled-masked-pre-training","title":"Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting","date":"2023-12-01","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/spatio-temporal-adaptive-embedding-makes","title":"STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting","date":"2023-08-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-decomposition-dynamic-graph-convolutional","title":"A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting","date":"2023-05-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/graph-neural-rough-differential-equations-for","title":"Graph Neural Rough Differential Equations for Traffic Forecasting","date":"2023-03-20","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":6,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pdformer-propagation-delay-aware-dynamic-long","title":"PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction","date":"2023-01-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":6,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/graph-neural-controlled-differential","title":"Graph Neural Controlled Differential Equations for Traffic Forecasting","date":"2021-12-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/conditional-temporal-neural-processes-with","title":"Conditional Temporal Neural Processes with Covariance Loss","date":"2021-06-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spatio-temporal-graph-convolutional-networks","title":"Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting","date":"2017-09-14","rows_on_this_dataset":2,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/sequence-to-sequence-learning-with-neural","title":"Sequence to Sequence Learning with Neural Networks","date":"2014-09-10","rows_on_this_dataset":1,"code_links":74,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":25,"samples_ran":11,"samples_unverified":14,"pointer_only_for_licence":9,"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":5,"samples_harvested":56,"samples_ran":28,"samples_unverified":28,"pointer_only_for_licence":15,"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."}