code: def test_prepare_for_training_with_spark_nlp(self):
      ds = DatasetForText2Text(
          [
              Text2TextRecord(text="mock", annotation="mock"),
              Text2TextRecord(text="mock"),
          ]
          * 10
      )
      df = ds.prepare_for_training("spark-nlp", train_size=1)
      assert list(df.columns) == ["id", "text", "target"]
  
imports: import copy
  import os
  import sys
  from time import sleep
  import datasets
  import pandas
  import pytest
  import spacy
  from argilla.client.datasets import DatasetBase, DatasetForText2Text, DatasetForTextClassification, DatasetForTokenClassification, WrongRecordTypeError, read_datasets, read_pandas
  from argilla.client.models import Text2TextRecord, TextClassificationRecord, TokenClassificationRecord
  from argilla.datasets import TextClassificationSettings
label_desc: Use image node_id 9 for calling the TestDatasetForText2Text obj's underlying member method code with example usage: obj.test_prepare_for_training_with_spark_nlp() without return types