code: def test_overall_label_health_score_matched_num_issues(dataset_name):
      # Matches num_label_issues
      (
          pred_probs,
          labels,
      ) = _get_pred_probs_labels_from_labelerrors_datasets(dataset_name)
      num_issues = num_label_issues(
          labels=labels, pred_probs=pred_probs
      )
      score = overall_label_health_score(
          labels=labels, pred_probs=pred_probs
      )
      assert 1 - num_issues / labels.shape[0] == score
  
file_path: cleanlab/tests/test_dataset.py
imports: import requests
  import pytest
  import hypothesis.extra.numpy
  import hypothesis.strategies
  import io
  import numpy
  from hypothesis import given, settings
  from cleanlab.dataset import health_summary, find_overlapping_classes, rank_classes_by_label_quality, overall_label_health_score
  from cleanlab.count import estimate_joint, num_label_issues, compute_confident_joint
label_desc: Use image node_id 6 for calling a global function with example usage: test_overall_label_health_score_matched_num_issues(dataset_name) without return types