code: def __getitem__(self, idx):
      if isinstance(idx, slice):
          data = []
          for i in range(
              idx.start,
              idx.stop,
              idx.step if idx.step is not None else 1,
          ):
              temp_data = []
              for key in self.order:
                  temp_data.append(self.dict_object[key][i])
              data.append(temp_data)
  
      else:
          data = []
          for key in self.order:
              data.append(self.dict_object[key][idx])
  
      return data
  
imports: import os
  import io
  import numpy
  import torch
  import torch.utils.data
  from torch.utils.data.sampler import Sampler
  from torch.utils.data import Dataset
  from neuralcoref.train.utils import encode_distance, BATCH_SIZE_PATH, SIZE_FP, SIZE_FP_COMPRESSED, SIZE_FS, SIZE_FS_COMPRESSED, SIZE_GENRE, SIZE_PAIR_IN, SIZE_SINGLE_IN
  from neuralcoref.train.conllparser import FEATURES_NAMES
label_desc: Use image node_id 3 for calling the _DictionaryDataLoader obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: data