code: def binary_mock_dataset_and_probabilities():
      """Mock dataset and probabilities for binary classification"""
  
      text = [
          "I think therefore I am",
          "I am therefore I think",
          "I am",
      ] * 100
      label = ["a", "b", "b"] * 100
      probabilities_train = np.array(
          [[0.1, 0.9]] * 200 + [[0.9, 0.1]] * 100
      )
      probabilities_test = np.array(
          [[0.6, 0.4]] * 200 + [[0.4, 0.6]] * 100
      )
  
      text_data = TextData(
          raw_text=text, label=label, task_type="text_classification"
      )
      text_data.calculate_builtin_properties()
      return text_data, probabilities_train, probabilities_test
  
imports: import random
  import typing
  import numpy
  import pytest
  from datasets import load_dataset
  from nltk import download
  from nltk.corpus import movie_reviews
  from deepchecks.nlp.datasets.classification import just_dance_comment_analysis, tweet_emotion
  from deepchecks.nlp.text_data import TextData
label_desc: Use image node_id 19 for calling a global function with example usage: binary_mock_dataset_and_probabilities() and returns: text_data,  probabilities_train,  probabilities_test