code: def test_rai_insights_question_answering_metadata(self):
      data = load_squad_dataset(with_metadata=True)
      pred = create_question_answering_pipeline()
      task_type = ModelTask.QUESTION_ANSWERING
      feature_metadata = FeatureMetadata()
      feature_metadata.categorical_features = ["title"]
      run_rai_insights(
          pred, data, data[:3], ANSWERS, task_type, feature_metadata
      )
  
file_path: responsible-ai-toolbox/responsibleai_text/tests/test_rai_text_insights.py
imports: from common_text_utils import ANSWERS, BLBOOKS_LABEL, COVID19_EVENTS_LABELS, DBPEDIA_LABEL, EMOTION, create_blbooks_pipeline, create_dbpedia_pipeline, create_multilabel_pipeline, create_question_answering_pipeline, create_text_classification_pipeline, load_blbooks_genre_dataset, load_covid19_emergency_event_dataset, load_dbpedia_dataset, load_emotion_dataset, load_squad_dataset
  from rai_text_insights_validator import validate_rai_text_insights
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai_text import ModelTask, RAITextInsights
label_desc: Use image node_id 4 for calling the TestRAITextInsights obj's underlying member method code with example usage: obj.test_rai_insights_question_answering_metadata() without return types