{"url":"/dataset/chickenpox-cases-in-hungary","name":"Chickenpox Cases in Hungary","full_name":null,"description_markdown":"**Chickenpox Cases in Hungary** is a spatio-temporal dataset of weekly chickenpox (childhood disease) cases from Hungary. It can be used as a longitudinal dataset for benchmarking the predictive performance of spatiotemporal graph neural network architectures. The dataset consists of a county-level adjacency matrix and time series of the county-level reported cases between 2005 and 2015. There are 2 specific related tasks:\r\n\r\n- County level case count prediction.\r\n- National level case count prediction.","description_withheld":null,"homepage":"https://github.com/benedekrozemberczki/spatiotemporal_datasets","introduced_date":"2021-02-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/chickenpox-cases-in-hungary-a-benchmark","title":"Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks","first_author":"Benedek Rozemberczki","url":null},"license":null,"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[],"languages":[],"variants":["Chickenpox Cases in Hungary"],"data_loaders":[{"repo":"https://github.com/benedekrozemberczki/spatiotemporal_datasets","url":"https://github.com/benedekrozemberczki/spatiotemporal_datasets","frameworks":["pytorch"]}],"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."}