{"url":"/dataset/sz-taxi","name":"SZ-Taxi","full_name":"Shenzhen Taxi Speed","description_markdown":"Taxi speed data in 15min interval from 156 sensors on major roads of Luohu District in Shenzhen, China, from Jan. 1 to Jan. 31, 2015.","description_withheld":null,"homepage":"https://github.com/lehaifeng/T-GCN/tree/master/data","introduced_date":"2018-11-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/t-gcn-a-temporal-graph-convolutionalnetwork","title":"T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction","first_author":"Ling Zhao","url":null},"license":null,"modalities":[],"tasks":[{"name":"Traffic Prediction","url":"/task/traffic-prediction","datasets_with_task":"/datasets/task/traffic-prediction"}],"languages":[],"variants":["SZ-Taxi"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/traffic-prediction-on-sz-taxi","task":"Traffic Prediction","dataset_variant":"SZ-Taxi","rows":5,"metrics":["MAE @ 15min","MAE @ 30min","MAE @ 45min","MAE @ 60min"],"first_row_in_archive_order":{"model":"factorized ST-TGCN","paper":"/paper/spatial-temporal-tensor-graph-convolutional","metrics":{"MAE @ 15min":"2.0198","MAE @ 30min":"2.2951","MAE @ 45min":"2.3689","MAE @ 60min":"2.4476"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multi-head-spatiotemporal-attention-graph","title":"Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction","date":"2023-04-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/spatial-temporal-tensor-graph-convolutional","title":"Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction","date":"2021-03-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/bayesian-spatio-temporal-graph-convolutional","title":"Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting","date":"2020-10-15","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/t-gcn-a-temporal-graph-convolutionalnetwork","title":"T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction","date":"2018-11-12","rows_on_this_dataset":2,"code_links":10,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"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":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"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."}