code: def load_har_classes(folder_name=data_file_name):
      data_file_name_classes = os.path.join(
          folder_name, "UCI HAR Dataset", "train", "y_train.txt"
      )
      try:
          return pd.read_csv(
              data_file_name_classes, delim_whitespace=True, header=None
          ).squeeze()
      except OSError:
          raise OSError(
              "File {} was not found. Have you downloaded the dataset with download_har_dataset() "
              "before?".format(data_file_name_classes)
          )
  
file_path: tsfresh/tsfresh/examples/har_dataset.py
imports: import logging
  import os
  import shutil
  from io import BytesIO
  from zipfile import ZipFile
  import pandas
  import requests
label_desc: Use image node_id 3 for calling a global function with example usage: load_har_classes(folder_name) and returns: pd