text: import numpy as np
  from sklearn.datasets import make_gaussian_quantiles
  
  ''' generating a toy dataset using a similar approach to sklearn documentation'''
  def dataset(n,random_seed,classes):
    if random_seed:
      np.random.seed(random_seed)
      X, y = make_gaussian_quantiles(n_samples=n, n_features=2, n_classes=classes)
      return X, y*2-1
  