code: def __getitem__(self, idx):
      item = self.data_source.loc[idx]
      data = {}
      for per_name in self.column_names:
          data.update({per_name: item[per_name]})
      return data, item[self.label_column]
  
imports: import torch
  import pandas
  from tqdm import tqdm
  import torch.nn.functional
  import torch.nn
  from autogluon.multimodal import MultiModalPredictor
  from datasets import list_datasets, load_dataset
  from setfit import sample_dataset
  from imagedatasets import build_dataset
  from torch.utils.data import Dataset
label_desc: Use image node_id 3 for calling the Wrapper obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: data,  item