code: def dataset_uplift():
      treatment_column = "treatment"
      response_column = "outcome"
      df = h2o.upload_file(
          path=locate("smalldata/uplift/upliftml_train.csv")
      )
      df[treatment_column] = df[treatment_column].asfactor()
      df[response_column] = df[response_column].asfactor()
      return df.split_frame(ratios=[0.6, 0.3], seed=0)
  
imports: import h2o
  from .None import locate
label_desc: Use image node_id 7 for calling a global function with example usage: dataset_uplift() and returns: df