code: def get_lang_data(self):
          
  
          root = os.path.expanduser('~')
          csv_dir_path = os.path.join(root, 'cltk_data/sanskrit/model/sanskrit_models_cltk/phonetics')
  
          all_phonetic_csv = os.path.join(csv_dir_path, 'all_script_phonetic_data.csv')
          tamil_csv = os.path.join(csv_dir_path, 'tamil_script_phonetic_data.csv')
  
          # Make helper function for this
          with open(all_phonetic_csv,'r') as f:
              reader = csv.reader(f, delimiter = ',', quotechar = '"')
              next(reader, None) # Skip headers
              all_phonetic_data = [row for row in reader]
  
          with open(tamil_csv,'r') as f:
              reader = csv.reader(f, delimiter = ',', quotechar = '"')
              next(reader, None) # Skip headers
              # tamil_phonetic_data = [row[PHONETIC_VECTOR_START_OFFSET:] for row in reader]
              tamil_phonetic_data = [row for row in reader]
  
          # Handle better?
          all_phonetic_data = [[int(cell) if cell=='0' or cell=='1' else cell for cell in row] for row in all_phonetic_data]
          tamil_phonetic_data = [[int(cell) if cell=='0' or cell=='1' else cell for cell in row] for row in tamil_phonetic_data]
  
          all_phonetic_vectors = np.array([row[PHONETIC_VECTOR_START_OFFSET:] for row in all_phonetic_data])
          tamil_phonetic_vectors = np.array([row[PHONETIC_VECTOR_START_OFFSET:] for row in tamil_phonetic_data])
  
          phonetic_vector_length = all_phonetic_vectors.shape[1]
  
          return all_phonetic_data, tamil_phonetic_data, all_phonetic_vectors, tamil_phonetic_vectors, phonetic_vector_length
docs: Define and call data for future use. Initializes and defines all
          variables which define the phonetic vectors.