code: def import_data(input_data_path: str):
      if (
          VLSP2016SACorpus.required_folder
          and not Path(input_data_path).is_dir()
      ):
          print(
              f"Input path must be a folder but your input is {input_data_path}"
          )
          raise SystemExit("")
      if (
          VLSP2016SACorpus.required_file
          and not Path(input_data_path).is_file()
      ):
          print(
              f"Input path must be a file but your input is {input_data_path}"
          )
          raise SystemExit("")
      raw_sample = join(
          dirname(dirname(__file__)),
          "../../corpus/data",
          "vlsp2016_sa_raw_sample",
      )
      FolderStructure.check_structure(raw_sample, input_data_path)
      VLSP2016SACorpus.reset_folder()
      input_data_folder = Path(input_data_path)
      train_input_data_folder = (
          input_data_folder / "SA2016-training_data"
      )
      output_train_file = VLSP2016SACorpus.data_folder / "train.txt"
      with open(output_train_file, "w") as f:
          f.write("")
      process_train_data(
          train_input_data_folder / "SA-training_positive.txt",
          output_train_file,
          "POS",
      )
      process_train_data(
          train_input_data_folder / "SA-training_neutral.txt",
          output_train_file,
          "NEU",
      )
      process_train_data(
          train_input_data_folder / "SA-training_negative.txt",
          output_train_file,
          "NEG",
      )
  
      # Preprocess Test Data
      test_sentences = []
      with open(
          input_data_folder
          / "SA2016-TestData-Ans"
          / "test_raw_ANS.txt",
          "r",
      ) as f:
          for i, line in enumerate(f):
              if i % 2 == 0:
                  text = line.strip()
              else:
                  label = line.strip()
                  sentence = f"__label__{label} {text}"
                  test_sentences.append(sentence)
      output_test_file = VLSP2016SACorpus.data_folder / "test.txt"
      with open(output_test_file, "w") as f:
          content = "\n".join(test_sentences)
          f.write(content + "\n")
  
      print(
          f"[Underthesea] Corpus `VLSP2016_SA` is imported in {VLSP2016SACorpus.data_folder}"
      )
  
file_path: underthesea/underthesea/datasets/vlsp2016_sa/vlsp2016_sa_corpus.py
imports: import os
  import shutil
  from os.path import dirname, join
  from underthesea.corpus.util import FolderStructure
  from underthesea.file_utils import UNDERTHESEA_FOLDER
  from pathlib import Path
label_desc: Use image node_id 2 for calling the VLSP2016SACorpus obj's underlying member method code with example usage: obj.import_data(input_data_path) without return types