Allow forcing a download even if cached files are already present #1132

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1. PGijsbers

   added

   Feature request

   on Mar 24, 2022
2. PGijsbers commented on Mar 28, 2022

   

   PGijsbers

   on Mar 28, 2022

   MemberAuthor

   More actions

   In the meanwhile, you can use this function (you can use the same arguments as get_dataset).

   import openml
   
   def force_get_dataset(dataset_id=None, *args, **kwargs):
       """ Remove any existing local files about `dataset_id` and then download new copies. """
       did_cache_dir = openml.utils._create_cache_directory_for_id(openml.datasets.functions.DATASETS_CACHE_DIR_NAME, dataset_id, )
       openml.utils._remove_cache_dir_for_id(openml.datasets.functions.DATASETS_CACHE_DIR_NAME, did_cache_dir)
       return openml.datasets.get_dataset(dataset_id, *args, **kwargs)
   
   if __name__ == "__main__":
       force_get_dataset(61)
3. PGijsbers

   added this to the 0.14.0 milestone on Nov 29, 2022
4. mfeurer

   added

   module:DataOpenML conceptOpenML concept

   on Feb 20, 2023
5. LennartPurucker

   self-assigned this

   on Jun 12, 2023
6. LennartPurucker commented on Jun 16, 2023

   

   LennartPurucker

   on Jun 16, 2023

   Last edited by LennartPurucker

   Member

   More actions

   This was resolved by PR #1260 by adding an option to refresh the cache to get_dataset.
7. LennartPurucker

   closed this as completedon Jun 16, 2023