def __next__(self):
    # Select next note (length >= 2000)
    while True:
        try:
            _, row = next(self.note_iterrows)
        except StopIteration:
            self._load_random_csv()
            _, row = next(self.note_iterrows)
        note_id = int(row.ROW_ID)
        note = row.TEXT.strip()
        # if len(note) >= 2000:
        # break
        if len(note) < 2000:
            continue

        try:
            correct, left, right = self._random_word_context(note)
        except:
            # import traceback; traceback.print_exc();
            continue
        break

    # Corrupt and pseudonymize
    correct = correct.lower()
    if random.uniform(0, 1) >= self.no_corruption_prob:
        typo = self.word_corrupter.corrupt_word(correct)
    else:
        typo = correct
    left = self.mimic_pseudo.pseudonymize(left)
    left = self._process_note(left)
    left = ' '.join(left.split(' ')[-128:])
    right = self.mimic_pseudo.pseudonymize(right)
    right = self._process_note(right)
    right = ' '.join(right.split(' ')[:128])

    # Parse
    temp_csv_row = [-1, note_id, typo, left, right, correct]
    # print(f'{self.csv_fname}({note_id}, {_}/{len(self.df_note)}): {correct} -> {typo}')
    example = self._parse_row(temp_csv_row)

    return example