{"url":"/dataset/seoul-bike-sharing-demand","name":"Seoul Bike Sharing Demand","full_name":"Sathishkumar V E","description_markdown":"Data variables and description.\r\nParameters/Features                                 Abbreviation                             Type                                Measurement\r\nDate                                                                      Date                                    year-month-day –\r\nRented Bike count                                          Count                                 Continuous                           0, 1, 2, .. ., 3556\r\nHour                                                                       Hour                                   Continuous                           0, 1, 2, .. ., 23\r\nTemperature                                                      Temp                                   Continuous                            ◦C\r\nHumidity                                                               Hum                                   Continuous                              %\r\nWindspeed                                                           Wind                                  Continuous                              m/s\r\nVisibility                                                                  Visb                                   Continuous                              10 m\r\nDew point temperature                                  Dew                                   Continuous                                ◦C\r\nSolar radiation                                                     Solar                                  Continuous                              MJ/m2\r\nRainfall                                                                     Rain                                   Continuous                               Mm\r\nSnowfall                                                                   Snow                                  Continuous                               cm\r\nSeasons                                                                     Seasons                           Categorical                              Autumn, Spring, Summer, Winter\r\nHoliday                                                                       Holiday                           Categorical                               Holiday, Workday\r\nFunctional Day                                                        Fday                                 Categorical                              NoFunc, Func\r\nWeek status                                                              Wstatus                          Categorical                             Weekday (Wday), Weekend (Wend)\r\nDay of the week                                                       Dweek                            Categorical                              Sunday, Monday, .. ., Saturday","description_withheld":null,"homepage":"","introduced_date":"2020-03-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/using-data-mining-techniques-for-bike-sharing","title":"Using data mining techniques for bike sharing demand prediction in metropolitan city","first_author":"Sathishkumar V E","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://archive.ics.uci.edu/dataset/560/seoul+bike+sharing+demand"},"modalities":[],"tasks":[{"name":"regression","url":"/task/regression-1","datasets_with_task":"/datasets/task/regression-1"}],"languages":[],"variants":["Seoul Bike Sharing Demand"],"data_loaders":[],"num_papers_in_archive":3,"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."}