code: def dummy_multilabel_textdata_train_test(set_numpy_seed):
      """Dummy multilabel text classification dataset"""
      raw_text = [
          random.choice(
              [
                  "I think therefore I am",
                  "I am therefore I think",
                  "I am",
              ]
          )
          for _ in range(40)
      ] + ["bla"] * 10
      label = [
          random.choice([[0, 0, 1], [1, 1, 0], [0, 1, 0]])
          for _ in range(40)
      ] + [[1, 0, 0]] * 10
      text_data = TextData(
          raw_text=raw_text,
          label=label,
          task_type="text_classification",
      )
      return text_data.copy(
          rows_to_use=list(range(20))
      ), text_data.copy(rows_to_use=list(range(20, 50)))
  
imports: import random
  import typing
  import numpy
  import pytest
  from datasets import load_dataset
  from nltk import download
  from nltk.corpus import movie_reviews
  from deepchecks.nlp.datasets.classification import just_dance_comment_analysis, tweet_emotion
  from deepchecks.nlp.text_data import TextData
label_desc: Use image node_id 11 for calling a global function with example usage: dummy_multilabel_textdata_train_test(set_numpy_seed) and returns: text_data,  text_data