code: def data():
      x, y = datasets.make_hastie_10_2(n_samples=100, random_state=1)
      x = x.astype(np.float32)
      return Dataset(x=x, y=y)
  
imports: from collections import namedtuple
  import os
  import numpy
  from packaging import version
  import pandas
  import pytest
  from scipy.sparse import csr_matrix
  from sklearn import datasets, __version__
  from sklearn.model_selection import KFold
  from sklearn.utils.estimator_checks import check_estimator
  from vowpalwabbit.sklearn import VW, VWClassifier, VWRegressor, tovw, VWMultiClassifier, VWRegressor
label_desc: Use image node_id 1 for calling a global function with example usage: data() and returns: Dataset