code: def test_load_column_corpus_options(tasks_base_path):
      # get training, test and dev data
      corpus = flair.datasets.ColumnCorpus(
          tasks_base_path / "column_corpus_options",
          column_format={0: "text", 1: "ner"},
          column_delimiter="\t",
          skip_first_line=True,
      )
  
      assert len(corpus.train) == 1
      assert len(corpus.dev) == 1
      assert len(corpus.test) == 1
  
      assert (
          corpus.train[0].to_tokenized_string() == "This is New Berlin"
      )
  
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 8 for calling a global function with example usage: test_load_column_corpus_options(tasks_base_path) without return types