text: """FLC1 dataset for classification."""
  import numpy as np
  
  from protoflow.utils.data import get_file_from_google
  
  
  def load_data(path="flc1.npz"):
      """Loads the Whisky dataset.
  
      # Arguments
          path: path where to cache the dataset locally
              (relative to ~/.keras/datasets/).
  
      # Returns
          Tuple of Numpy arrays: `x_all, y_all`.
      """
      path = get_file_from_google(
          path,
          file_id="1BF3_HT8-jmSQlPBOR1Xk_D73a5W2JkRF",
          md5_hash="b07b230d923b3a75fba3c039d2429a24",
          extract=False,
      )
      with np.load(path, allow_pickle=False) as f:
          x_train, y_train = f["x_train"], f["y_train"]
          x_test, y_test = f["x_test"], f["y_test"]
      return (x_train, y_train), (x_test, y_test)
  