code: def preprocess_sample_info(self, sample_info):
      feature_path = sample_info["feature_path"]
      append = "train"
  
      if self.dataset_type == "test":
          append = "test_task3"
  
      if not feature_path.startswith(append):
          feature_path = append + "/" + feature_path
  
      sample_info["feature_path"] = feature_path
      return sample_info
  
imports: from mmf.datasets.builders.textvqa.dataset import TextVQADataset
label_desc: Use image node_id 2 for calling the STVQADataset obj's underlying member method code with example usage: obj.preprocess_sample_info(sample_info) and returns: sample_info