{"url":"/dataset/beijing-air-quality","name":"Beijing Multi-Site Air-Quality Dataset","full_name":null,"description_markdown":"This data set includes hourly air pollutants data from 12 nationally-controlled air-quality monitoring sites. The air-quality data are from the Beijing Municipal Environmental Monitoring Center. The meteorological data in each air-quality site are matched with the nearest weather station from the China Meteorological Administration. The time period is from March 1st, 2013 to February 28th, 2017. Missing data are denoted as NA.","description_withheld":null,"homepage":"https://archive.ics.uci.edu/ml/datasets/Beijing+Multi-Site+Air-Quality+Data","introduced_date":"2017-08-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/cautionary-tales-on-air-quality-improvement","title":"Cautionary Tales on Air-Quality Improvement in Beijing","first_author":"Shuyi Zhang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Multivariate Time Series Imputation","url":"/task/multivariate-time-series-imputation","datasets_with_task":"/datasets/task/multivariate-time-series-imputation"}],"languages":[],"variants":["Beijing Multi-Site Air-Quality Dataset"],"data_loaders":[{"repo":"https://github.com/WenjieDu/TSDB","url":"https://github.com/WenjieDu/TSDB","frameworks":[]}],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multivariate-time-series-imputation-on","task":"Multivariate Time Series Imputation","dataset_variant":"Beijing Multi-Site Air-Quality Dataset","rows":6,"metrics":["MAE (PM2.5)"],"first_row_in_archive_order":{"model":"GRIN","paper":"/paper/multivariate-time-series-imputation-by-graph","metrics":{"MAE (PM2.5)":"10.51"},"code_links":[{"title":"torchspatiotemporal/tsl","url":"https://github.com/torchspatiotemporal/tsl"},{"title":"Graph-Machine-Learning-Group/grin","url":"https://github.com/Graph-Machine-Learning-Group/grin"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multivariate-time-series-imputation-by-graph","title":"Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks","date":"2021-07-31","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":5,"samples_unverified":5,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/brits-bidirectional-recurrent-imputation-for","title":"BRITS: Bidirectional Recurrent Imputation for Time Series","date":"2018-05-27","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":2,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/estimating-missing-data-in-temporal-data","title":"Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks","date":"2017-11-23","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/imputets-time-series-missing-value-imputation","title":"imputeTS: Time Series Missing Value Imputation in R","date":"2017-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/st-mvl-filling-missing-values-in-geo-sensory","title":"ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data","date":"2016-07-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/multiple-imputation-using-chained-equations","title":"Multiple imputation using chained equations: issues and guidance for practice","date":"2010-11-30","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":14,"samples_ran":7,"samples_unverified":7,"pointer_only_for_licence":9,"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."}