code: def preprocess_sample_info(self, sample_info):
      sample_info = super().preprocess_sample_info(sample_info)
      # add dummy questions to train with M4C (for TextVQA)
      sample_info["question_str"] = ""  # empty question
      sample_info["question_id"] = sample_info["caption_id"]
      return sample_info
  
imports: from mmf.datasets.builders.textvqa.dataset import TextVQADataset
  from mmf.utils.distributed import object_to_byte_tensor
label_desc: Use image node_id 2 for calling the TextCapsDataset obj's underlying member method code with example usage: obj.preprocess_sample_info(sample_info) and returns: sample_info