code: def a1a(n_points=None):
      """A sparse dataset in scipy csr matrix format."""
      data, target = sklearn.datasets.load_svmlight_file(
          cache(github_data_url + "a1a.svmlight")
      )
  
      if n_points is not None:
          data = shap.utils.sample(data, n_points, random_state=0)
          target = shap.utils.sample(target, n_points, random_state=0)
  
      return data, target
  
file_path: shap/shap/datasets.py
imports: import os
  from urllib.request import urlretrieve
  import numpy
  import pandas
  import sklearn.datasets
  import shap
label_desc: Use image node_id 12 for calling a global function with example usage: a1a(n_points) and returns: data,  target