code: def data_gen_for_question_answering():
      input_ids = torch.tensor(
          [
              [
                  57647,
                  1620,
                  23967,
                  620,
                  107373,
                  34,
                  91514,
                  620,
                  107373,
                  1620,
                  267,
                  35378,
                  48946,
                  18161,
                  48946,
                  18161,
              ]
          ],
          dtype=torch.int64,
      )
      attention_mask = torch.tensor(
          [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]],
          dtype=torch.int64,
      )
      start_positions = torch.tensor([1], dtype=torch.int64)
      end_positions = torch.tensor([10], dtype=torch.int64)
      return dict(
          input_ids=input_ids,
          attention_mask=attention_mask,
          start_positions=start_positions,
          end_positions=end_positions,
      )
  
file_path: ColossalAI/tests/kit/model_zoo/transformers/falcon.py
imports: import torch
  import transformers
  from ..registry import ModelAttribute, model_zoo
label_desc: Use image node_id 5 for calling a global function with example usage: data_gen_for_question_answering() and returns: dict