code: def data_gen_for_question_answering():
      # question answering data gen
      # `labels` is the type not the token id for token classification, 0 or 1
      data = data_gen()
      start_positions = torch.tensor([0], dtype=torch.int64)
      data["start_positions"] = start_positions
      end_positions = torch.tensor([1], dtype=torch.int64)
      data["end_positions"] = end_positions
      return data
  
file_path: ColossalAI/tests/kit/model_zoo/transformers/gptj.py
imports: import copy
  import torch
  import transformers
  from ..registry import ModelAttribute, model_zoo
label_desc: Use image node_id 3 for calling a global function with example usage: data_gen_for_question_answering() and returns: data