code: def __init__(self, iterable=tuple):
      super(SampleDataset, self).__init__()
  
      self.add_getter("item0", self.get_item0)
      self.add_getter(
          iterable(("item1", "item2")), self.get_item1_item2
      )
      self.add_getter(("item3",), self.get_item3)
  
      self.count = 0
  
imports: import numpy
  import unittest
  from chainercv.chainer_experimental.datasets.sliceable import GetterDataset
  from chainercv.utils import testing
label_desc: Use image node_id 1 to create a new SampleDataset object from inherited base classes: GetterDataset with example: obj = SampleDataset(iterable)