code: def dataset_without_conflicts():
      return TextData(
          label=[0, 0, 0, 1, 1, 1, 2, 0, 0, 0],
          task_type="text_classification",
          raw_text=[
              "Explicit is better than implicit.",
              "Simple is better than complex.",
              "Complex is better than complicated.",
              "Flat is better than nested.",
              "Readability counts.",
              "Readability counts to.",
              "Errors should never pass silently.",
              "There should be one-- and preferably only one --obvious way to do it.",
              "If the implementation is easy to explain, it may be a good idea.",
              "Explicit, is better than implicit!",
          ],
      )
  
imports: import typing
  import pandas
  import pytest
  from hamcrest import *
  from deepchecks.nlp.checks import ConflictingLabels
  from deepchecks.nlp.text_data import TextData
  from deepchecks.utils.strings import format_percent
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 1 for calling a global function with example usage: dataset_without_conflicts() and returns: TextData