def METHOD_NAME(
    datapath, savepath, skip_prep=False, fs=8000, task="separation"
):
    """
    Prepares the csv files for wham or whamr dataset
    Arguments:
    ----------
        datapath (str) : path for the wsj0-mix dataset.
        savepath (str) : path where we save the csv file.
        skip_prep (bool): If True, skip data preparation
    """
    if skip_prep:
        return
    if "wham_original" in datapath:
        # if we want to train a model on the original wham dataset
        create_wham_whamr_csv(
            datapath,
            savepath,
            fs,
            savename="whamorg_",
            add_reverb=False,
            task=task,
        )
    elif "whamr" in datapath:
        # if we want to train a model on the whamr dataset
        create_wham_whamr_csv(
            datapath, savepath, fs, add_reverb=True, task=task
        )
    else:
        raise ValueError("Unsupported Dataset")