{"url":"/dataset/timehetnet","name":"TimeHetNet","full_name":"Meta Dataset for Time Series with heterogeneous networks","description_markdown":"This meta-dataset is composed of previously known datasets. \r\n\r\nThis includes: It also uses a specific script to read and sample small tasks from specified sizes and lengths. \r\n\r\nDS included here are from :\r\n\r\nPeekDB (https://github.com/RafaelDrumond/PeekDB)\r\nInformer data-sets (https://github.com/zhouhaoyi/Informer2020)\r\nMonash (https://zenodo.org/communities/forecasting)\r\nUEA (http://www.timeseriesclassification.com/Downloads/Archives/Multivariate2018_arff.zip)\r\nCNC (https://www.kaggle.com/datasets/shasun/tool-wear-detection-in-cnc-mill/download)\r\nMINING (https://www.kaggle.com/datasets/edumagalhaes/quality-prediction-in-a-mining-process/download)\r\nPlant_Monitoring (https://www.kaggle.com/datasets/inIT-OWL/production-plant-data-for-condition-monitoring/download)\r\n\r\nLicenses from each db differs individually.","description_withheld":null,"homepage":"https://github.com/radrumond/timehetnet/tree/main/metadataset","introduced_date":"2022-04-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/few-shot-forecasting-of-time-series-with","title":"Few-Shot Forecasting of Time-Series with Heterogeneous Channels","first_author":"Lukas Brinkmeyer","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Time-Series Few-Shot Learning with Heterogeneous Channels","url":"/task/time-series-few-shot-learning-with","datasets_with_task":"/datasets/task/time-series-few-shot-learning-with"}],"languages":[],"variants":["TimeHetNet"],"data_loaders":[{"repo":"https://github.com/radrumond/timehetnet","url":"https://github.com/radrumond/timehetnet","frameworks":["tf"]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+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."}