code: def __getitem__(self, idx):
      text = self.process_batch(
          {"text": self.texts[idx], "max_length": self.max_length}
      )
  
      if isinstance(text, torch.Tensor):
          text = text.squeeze(0)
      else:
          text = {k: v.squeeze(0) for k, v in text.items()}
  
      group = torch.tensor(self.groups[idx])
      return text, group
  
imports: import torch
  from torch.utils.data import Dataset
  from PIL import Image
  import numpy
label_desc: Use image node_id 3 for calling the TextGroupDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: text,  group