code: def test_reading_jsonl_dataset_should_be_successful(tasks_base_path):
      """Tests reading a JsonlDataset containing multiple tagged entries."""
      dataset = JsonlDataset(tasks_base_path / "jsonl" / "train.jsonl")
  
      assert len(dataset.sentences) == 5
      assert len(dataset.sentences[0].get_labels("ner")) == 1
      assert dataset.sentences[0][2:4].get_label("ner").value == "LOC"
  
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 34 for calling a global function with example usage: test_reading_jsonl_dataset_should_be_successful(tasks_base_path) without return types