code: def generate_csv(csv_path, dataset):
      with open(csv_path, "w", newline="") as csvfile:
          writter = csv.writer(csvfile)
          writter.writerow(["input", "target"])
          for case in dataset:
              input_text = "grammar: " + case["sentence"]
              for correction in case["corrections"]:
                  # a few of the case are have None values. We'll skip them
                  if input_text and correction:
                      writter.writerow([input_text, correction])
  
imports: import csv
  from happytransformer.happy_text_to_text import HappyTextToText, TTTrainArgs
  from datasets import load_dataset
label_desc: Use image node_id 2 for calling a global function with example usage: generate_csv(csv_path, dataset) without return types