code: def test_correct_dataset(self):
      X, y = load_digits(return_X_y=True)
      verification_dict = functions.verify_dataset(X, y)
      assert verification_dict["features_shape"] == (1797, 64)
      assert verification_dict["labels_shape"] == (1797,)
  
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import unittest
  import os
  import numpy
  from xcessiv import functions, exceptions
  from sklearn.datasets import load_digits
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.decomposition import PCA
  from sklearn.pipeline import Pipeline
  import pickle
label_desc: Use image node_id 1 for calling the TestVerifyDataset obj's underlying member method code with example usage: obj.test_correct_dataset() without return types