class_docstr: Dataset that has a valid targets field (like the Datasets in the
  torchvision package) where the targets field is a sequence of native ints.
  
  The actual value of the targets field should be set by the child class.
class_docstr_tok: ["Dataset","that","has","a","valid","targets","field","(","like","the","Datasets","in","the","torchvision","package",")","where","the","targets","field","is","a","sequence","of","native","ints",".","The","actual","value","of","the","targets","field","should","be","set","by","the","child","class","."]
code: def __init__(self):
      self.targets = []
      """
          A sequence of ints describing the label of each pattern contained in the
          dataset.
          """
  
imports: from typing import TypeVar, SupportsInt, Sequence
  from torch.utils.data.dataset import Dataset
  from typing_extensions import Protocol
label_desc: Use image node_id 1 to create a new ClassificationDataset object from inherited base classes: IClassificationDataset, Dataset with example: obj = ClassificationDataset()