{"url":"/dataset/the-tourism-forecasting-competition","name":"The tourism forecasting competition","full_name":null,"description_markdown":"> The data we use include 366 monthly series, 427 quarterly series and 518 yearly series. They were supplied by both tourism bodies (such as Tourism Australia, the Hong Kong Tourism Board and Tourism New Zealand) and various academics, who had used them in previous tourism forecasting studies (please refer to the acknowledgements and details of the data sources and availability).\r\n\r\nfrom [the paper](https://www.sciencedirect.com/science/article/pii/S016920701000107X)","description_withheld":null,"homepage":"https://robjhyndman.com/publications/the-tourism-forecasting-competition/","introduced_date":"2010-09-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-tourism-forecasting-competition","title":"The tourism forecasting competition","first_author":"George Athanasopoulos","url":null},"license":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":[{"name":"English","url":"/datasets/language/english"}],"variants":["The tourism forecasting competition"],"data_loaders":[{"repo":"https://github.com/surajy22/DataScienceResearch","url":"https://github.com/surajy22/DataScienceResearch","frameworks":[]}],"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."}