code: def get_data(self):
      return pandas.DataFrame(
          {
              "a": [1, 1, 2, 3] * 1000,
              "b": [0, 0, 1, 1] * 1000,
              "words": [
                  "is false",
                  "is true",
                  "is not false",
                  "is not true",
              ]
              * 1000,
              "xor": [0, 1, 1, 0] * 1000,
          }
      )
  
imports: import datetime
  import pandas
  import sqlalchemy
  from lore.encoders import Unique, Pass, Token, Boolean, Enum, Continuous, OneHot, NestedUnique, NestedNorm
  from lore.transformers import DateTime
  import lore.io
  import lore.pipelines.holdout
  import lore.pipelines.iterative
  import lore.pipelines.time_series
label_desc: Use image node_id 1 for calling the OneHotPipeline obj's underlying member method code with example usage: obj.get_data() and returns: pandas