{"url":"/dataset/beam-level-5g-time-series-dataset","name":"Beam-Level (5G) Time-Series Dataset","full_name":null,"description_markdown":"This dataset presents a novel, multi-variate time series specifically designed for advancing research in spatio-temporal forecasting. The  primary goal of this dataset is to facilitate the accurate prediction of traffic throughput volumes across 5G communication networks.","description_withheld":null,"homepage":"https://huggingface.co/datasets/netop/Beam-Level-Traffic-Timeseries-Dataset","introduced_date":"2025-04-25","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT","url":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"}],"languages":[],"variants":["Beam-Level (5G) Time-Series Dataset"],"data_loaders":[],"num_papers_in_archive":0,"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."}