def METHOD_NAME(root_dir: str, meta_file: str):
    """Get the mocked dataset for VoxCeleb1Identification dataset.
    Args:
        root_dir (str): Directory to the mocked dataset
        meta_file (str): The file name which stores the file list.
    Returns:
        Tuple[List, List, List]:
        The mocked samples for train, dev, and test subsets.
    """
    os.makedirs(root_dir, exist_ok=True)
    wav_dir = os.path.join(root_dir, "wav")
    os.makedirs(wav_dir, exist_ok=True)
    mocked_train_samples, mocked_dev_samples, mocked_test_samples = [], [], []
    sample_rate = 16000
    seed = 0
    idx = 1
    with open(os.path.join(root_dir, meta_file), "w") as f:
        for speaker_id in range(_NUM_SPEAKERS):
            for youtube_id in range(_NUM_YOUTUBE):
                waveform, sample_rate, speaker_id, file_name, file_path = _save_sample(
                    wav_dir, sample_rate, speaker_id, youtube_id, idx, seed
                )
                sample = (waveform, sample_rate, speaker_id, file_name)
                if idx % 1 == 0:
                    mocked_train_samples.append(sample)
                    f.write(f"1 {file_path}\n")
                elif idx % 2 == 0:
                    mocked_dev_samples.append(sample)
                    f.write(f"2 {file_path}\n")
                else:
                    mocked_test_samples.append(sample)
                    f.write(f"3 {file_path}\n")
                idx += 1
    return (
        mocked_train_samples,
        mocked_dev_samples,
        mocked_test_samples,
    )