{"url":"/dataset/smd","name":"SMD","full_name":"Server Machine Dataset","description_markdown":"a dataset of time-series anomaly detection","description_withheld":null,"homepage":"","introduced_date":"2022-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/0-1-deep-neural-networks-via-block-coordinate","title":"0/1 Deep Neural Networks via Block Coordinate Descent","first_author":"HUI ZHANG","url":null},"license":null,"modalities":[],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Time Series Analysis","url":"/task/time-series","datasets_with_task":"/datasets/task/time-series"},{"name":"Unsupervised Anomaly Detection","url":"/task/unsupervised-anomaly-detection","datasets_with_task":"/datasets/task/unsupervised-anomaly-detection"},{"name":"Time Series Anomaly Detection","url":"/task/time-series-anomaly-detection","datasets_with_task":"/datasets/task/time-series-anomaly-detection"}],"languages":[],"variants":["SMD"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/anomaly-detection-on-smd","task":"Anomaly Detection","dataset_variant":"SMD","rows":2,"metrics":["Recall","precision","F1","F1-score"],"first_row_in_archive_order":{"model":"USAD","paper":"/paper/usad-unsupervised-anomaly-detection-on","metrics":{"F1":"93.82","Recall":"96.17","precision":"93.14"},"code_links":[{"title":"manigalati/usad","url":"https://github.com/manigalati/usad"},{"title":"elisejiuqizhang/USAD-on-WADI-and-SWaT","url":"https://github.com/elisejiuqizhang/USAD-on-WADI-and-SWaT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/time-series-anomaly-detection-on-smd","task":"Time Series Anomaly Detection","dataset_variant":"SMD","rows":1,"metrics":["AUPR","F1 score","Recall","precision"],"first_row_in_archive_order":{"model":"CARLA","paper":"/paper/carla-a-self-supervised-contrastive","metrics":{"AUPR":"0.507","F1 score":"0.5114","Recall":"0.63062","precision":"0.4276"},"code_links":[{"title":"zamanzadeh/CARLA","url":"https://github.com/zamanzadeh/CARLA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/unsupervised-anomaly-detection-on-smd","task":"Unsupervised Anomaly Detection","dataset_variant":"SMD","rows":1,"metrics":["Precision"],"first_row_in_archive_order":{"model":"TranAD","paper":"/paper/tranad-deep-transformer-networks-for-anomaly","metrics":{"Precision":"92.62"},"code_links":[{"title":"imperial-qore/tranad","url":"https://github.com/imperial-qore/tranad"},{"title":"xuhongzuo/DeepOD","url":"https://github.com/xuhongzuo/DeepOD"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/maat-mamba-adaptive-anomaly-transformer-with","title":"MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time series","date":"2025-02-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/carla-a-self-supervised-contrastive","title":"CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection","date":"2023-08-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/tranad-deep-transformer-networks-for-anomaly","title":"TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data","date":"2022-01-18","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/usad-unsupervised-anomaly-detection-on","title":"USAD: UnSupervised Anomaly Detection on Multivariate Time Series","date":"2020-08-23","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":1,"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."}