code: def _get_csv_file(self):
      labels_and_text = (
          ("neutral", "indifferent"),
          ("pos", "extremely great"),
          ("neg", "totally awful"),
          ("pos", "super good"),
          ("neg", "really bad"),
      )
      csv_file = os.path.join(self.get_temp_dir(), "data.csv")
      if os.path.exists(csv_file):
          return csv_file
      fieldnames = ["text", "label"]
      with open(csv_file, "w") as f:
          writer = csv.DictWriter(f, fieldnames=fieldnames)
          writer.writeheader()
          for label, text in labels_and_text:
              writer.writerow({"text": text, "label": label})
      return csv_file
  
file_path: mediapipe/mediapipe/model_maker/python/text/text_classifier/dataset_test.py
imports: import csv
  import os
  import tensorflow
  from mediapipe.model_maker.python.text.text_classifier import dataset
label_desc: Use image node_id 1 for calling the DatasetTest obj's underlying member method code with example usage: obj._get_csv_file() and returns: csv_file, csv_file