code: def __getitem__(self, index):
      item = self.dataset[index]
      item_labels = self.labels[index]
      if self.multi_class:
          item["label"] = torch.zeros(self.num_classes)
          for il in item_labels:
              if self.label_indices is not None:
                  il = self.label_indices[il]
              item["label"][il] = 1.0
      else:
          item["label"] = torch.tensor(
              self.labels[index]
              if self.label_indices is None
              else self.label_indices[self.labels[index]]
          )
  
      return item
  
imports: import torch
  from fairseq.data import BaseWrapperDataset, data_utils
label_desc: Use image node_id 2 for calling the AddClassTargetDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: item