class_docstr: A ``torch.utils.data.Dataset`` class with additional useful functions.
class_docstr_tok: ["A","``","torch.utils.data.Dataset","``","class","with","additional","useful","functions","."]
docstr: Data that the Dataset class operates on. Typically iterable/list of tuple(label,target).
  Note: This is different than simply calling myDataset.data because some datasets are comprised of multiple other datasets!
  The dataset returned should be the `combined` dataset!
  
  :return: iterable - Representation of the entire dataset (combined if necessary from multiple other datasets)
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code: def getdata(self):
      """
      Data that the Dataset class operates on. Typically iterable/list of tuple(label,target).
      Note: This is different than simply calling myDataset.data because some datasets are comprised of multiple other datasets!
      The dataset returned should be the `combined` dataset!
  
      :return: iterable - Representation of the entire dataset (combined if necessary from multiple other datasets)
      """
      raise NotImplementedError
  
imports: import torch.utils.data.dataset
label_desc: Use image node_id 2 for calling the UsefulDataset obj's underlying member method code with example usage: obj.getdata() without return types