code: def _load_data(self):
      input_data_dir = test_utils.get_test_data_path(
          os.path.join(_TEST_DATA_DIR, "raw_data")
      )
  
      data = gesture_recognizer.Dataset.from_folder(
          dirname=input_data_dir,
          hparams=gesture_recognizer.HandDataPreprocessingParams(
              shuffle=True
          ),
      )
      return data
  
imports: import io
  import os
  import tempfile
  from unittest import mock
  import zipfile
  import mock
  import tensorflow
  from mediapipe.model_maker.python.core.utils import test_util
  from mediapipe.model_maker.python.vision import gesture_recognizer
  from mediapipe.model_maker.python.vision.gesture_recognizer import hyperparameters
  from mediapipe.model_maker.python.vision.gesture_recognizer import model_options
  from mediapipe.tasks.python.test import test_utils
label_desc: Use image node_id 1 for calling the GestureRecognizerTest obj's underlying member method code with example usage: obj._load_data() and returns: data