code: def test_download_load_data(tasks_base_path):
      # get training, test and dev data for full English UD corpus from web
      corpus = flair.datasets.UD_ENGLISH()
  
      assert len(corpus.train) == 12544
      assert len(corpus.dev) == 2001
      assert len(corpus.test) == 2077
  
      # clean up data directory
      shutil.rmtree(flair.cache_root / "datasets" / "ud_english")
  
imports: import copy
  import shutil
  import pytest
  import flair
  import flair.datasets
  from flair.data import MultiCorpus, Sentence
  from flair.datasets import ColumnCorpus
  from flair.datasets.sequence_labeling import ONTONOTES, JsonlCorpus, JsonlDataset, MultiFileJsonlCorpus
label_desc: Use image node_id 16 for calling a global function with example usage: test_download_load_data(tasks_base_path) without return types