code: def count_matrix_dataset():
      cv = CountVectorizer()
      sentences = ["dog cat", "foo bar", "one two foo"]
      targets = np.array([1, 0, 0])
      matrix = cv.fit_transform(sentences)
      return cv, matrix, targets
  
imports: import pytest
  import numpy
  from gensim.models import KeyedVectors
  from sklearn.feature_extraction.text import CountVectorizer
label_desc: Use image node_id 2 for calling a global function with example usage: count_matrix_dataset() and returns: cv,  matrix,  targets