code: def demo_loading():
      """Test function to check dataset loading of univariate and multivaria problems."""
      for i in range(0, len(dataset_lists.univariate)):
          data_dir = "../"
          dataset = dataset_lists.univariate[i]
          trainX, trainY = load_ts(
              data_dir + dataset + "/" + dataset + "_TRAIN.ts"
          )
          testX, testY = load_ts(
              data_dir + dataset + "/" + dataset + "_TEST.ts"
          )
          print("Loaded " + dataset + " in position " + str(i))
          print("Train X shape :")
          print(trainX.shape)
          print("Train Y shape :")
          print(trainY.shape)
          print("Test X shape :")
          print(testX.shape)
          print("Test Y shape :")
          print(testY.shape)
      for i in range(16, len(dataset_lists.multivariate)):
          data_dir = "E:/mtsc_ts/"
          dataset = dataset_lists.multivariate[i]
          print(
              "Loading "
              + dataset
              + " in position "
              + str(i)
              + "......."
          )
          trainX, trainY = load_ts(
              data_dir + dataset + "/" + dataset + "_TRAIN.ts"
          )
          testX, testY = load_ts(
              data_dir + dataset + "/" + dataset + "_TEST.ts"
          )
          print("Loaded " + dataset)
          print("Train X shape :")
          print(trainX.shape)
          print("Train Y shape :")
          print(trainY.shape)
          print("Test X shape :")
          print(testX.shape)
          print("Test Y shape :")
          print(testY.shape)
  
file_path: sktime/sktime/_contrib/classification_experiments.py
imports: import os
  import sys
  import sktime.datasets.tsc_dataset_names
  from sktime._contrib.set_classifier import set_classifier
  from sktime.benchmarking.experiments import load_and_run_classification_experiment
  from sktime.classification.deep_learning import CNNClassifier
  from sktime.classification.feature_based import FreshPRINCE
  from sktime.classification.interval_based import CanonicalIntervalForest
  from sktime.datasets import load_from_tsfile_to_dataframe
label_desc: Use image node_id 1 for calling a global function with example usage: demo_loading() without return types