code: def text_token_classification_dataset_mock():
      """Mock for a token classification dataset"""
      return TextData(
          tokenized_text=_tokenize_raw_text(
              [
                  "Mary had a little lamb",
                  "Mary lives in London and Paris",
                  "How much wood can a wood chuck chuck?",
              ]
          ),
          label=[
              ["B-PER", "O", "O", "O", "O"],
              ["B-PER", "O", "O", "B-GEO", "O", "B-GEO"],
              ["O", "O", "O", "O", "O", "O", "O", "O"],
          ],
          task_type="token_classification",
      )
  
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 17 for calling a global function with example usage: text_token_classification_dataset_mock() and returns: TextData