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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_dataset_meta(label):
 """Gives you metadata for dataset chosen via 'label' param :param label: label = key in data_url dict (that big dict containing all possible datasets) :return: tuple (data_url, url, expected_hash, hash_path, relative_download_dir) relative_download_dir says where will be downloaded the file from url and eventually unzipped """

    data_url = data_urls[label]
    if type(data_url) == str:
        # back compatibility
        data_url = [data_url]
    if type(data_url) == list:
        data_url.extend([None, None, None, None])
        data_url = data_url[:4]
        url, expected_hash, hash_path, relative_donwload_dir = data_url
        if hash_path is None:
            hash_path = label
    # elif type(data_url) == dict:
    return data_url, url, expected_hash, hash_path, relative_donwload_dir