code: def just_dance_train_test_textdata_sampled(
      just_dance_train_test_textdata,
  ):
      """Just Dance text multilabel classification dataset"""
      train, test = just_dance_train_test_textdata
      sampled_train = train.sample(500, random_state=42)
      sampled_test = test.sample(500, random_state=42)
      return sampled_train, sampled_test
  
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 5 for calling a global function with example usage: just_dance_train_test_textdata_sampled(just_dance_train_test_textdata) and returns: sampled_train,  sampled_test