code: def test_classification_corpus_multi_labels_with_negative_examples(
      tasks_base_path,
  ):
      corpus = flair.datasets.ClassificationCorpus(
          tasks_base_path / "multi_class_negative_examples",
          allow_examples_without_labels=True,
      )
      assert len(corpus.train) == 8
      assert len(corpus.dev) == 5
      assert len(corpus.test) == 6
  
imports: import os
  import pytest
  import flair
  from flair.data import Corpus, Dictionary, Label, Sentence
  from flair.datasets import ColumnCorpus, FlairDatapointDataset, SentenceDataset
label_desc: Use image node_id 16 for calling a global function with example usage: test_classification_corpus_multi_labels_with_negative_examples(tasks_base_path) without return types