def __init__(self, storage_name='TUT-urban-acoustic-scenes-2018-mobile-development', data_path=None, included_content_types=None, **kwargs):
    "\n        Constructor\n\n        Parameters\n        ----------\n\n        storage_name : str\n            Name to be used when storing dataset on disk\n            Default value 'TUT-urban-acoustic-scenes-2018-mobile-development'\n\n        data_path : str\n            Root path where the dataset is stored. If None, os.path.join(tempfile.gettempdir(), 'dcase_util_datasets')\n            is used.\n            Default value None\n\n        included_content_types : list of str or str\n            Indicates what content type should be processed. One or multiple from ['all', 'audio', 'meta', 'code',\n            'documentation']. If None given, ['all'] is used. Parameter can be also comma separated string.\n            Default value None\n\n        "
    kwargs['included_content_types'] = included_content_types
    kwargs['data_path'] = data_path
    kwargs['storage_name'] = storage_name
    kwargs['dataset_group'] = 'scene'
    kwargs['dataset_meta'] = {'authors': 'Toni Heittola, Annamaria Mesaros, and Tuomas Virtanen', 'title': 'TUT Urban Acoustic Scenes 2018 Mobile, development dataset', 'url': None, 'audio_source': 'Field recording', 'audio_type': 'Natural', 'recording_device_model': 'Various', 'microphone_model': 'Various', 'licence': 'free non-commercial'}
    kwargs['crossvalidation_folds'] = 1
    kwargs['meta_filename'] = 'meta.csv'
    filename_base = 'TUT-urban-acoustic-scenes-2018-mobile-development'
    source_url = 'https://zenodo.org/record/1228235/files/'
    kwargs['package_list'] = [{'content_type': 'documentation', 'remote_file': ((source_url + filename_base) + '.doc.zip'), 'remote_bytes': 12144, 'remote_md5': '5694e9cdffa11cef8ec270673dc19ba0', 'filename': (filename_base + '.doc.zip')}, {'content_type': 'meta', 'remote_file': ((source_url + filename_base) + '.meta.zip'), 'remote_bytes': 88425, 'remote_md5': 'b557b6d5d620aa4f15564ab38f1594d4', 'filename': (filename_base + '.meta.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.1.zip'), 'remote_bytes': 1692337547, 'remote_md5': 'd6f2671af84032b97f393354c124517d', 'filename': (filename_base + '.audio.1.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.2.zip'), 'remote_bytes': 1769203601, 'remote_md5': 'db8b3603af5d4e559869a592930a7620', 'filename': (filename_base + '.audio.2.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.3.zip'), 'remote_bytes': 1674610746, 'remote_md5': '703bf73523a6ad1f40d4923cb8ba3ff0', 'filename': (filename_base + '.audio.3.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.4.zip'), 'remote_bytes': 1634599587, 'remote_md5': '18af04ab5d6f15a72c66f16bfec0ca07', 'filename': (filename_base + '.audio.4.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.5.zip'), 'remote_bytes': 1640894390, 'remote_md5': 'a579efb032f209a7e77fe22e4808e9ca', 'filename': (filename_base + '.audio.5.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.6.zip'), 'remote_bytes': 1693974078, 'remote_md5': 'c2c56691047b3be3d98cb0ffd6858d9f', 'filename': (filename_base + '.audio.6.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.7.zip'), 'remote_bytes': 1165383562, 'remote_md5': 'e182e5300867f4ed4b580389cc5b931e', 'filename': (filename_base + '.audio.7.zip')}]
    kwargs['audio_paths'] = ['audio']
    super(TUTUrbanAcousticScenes_2018_Mobile_DevelopmentSet, self).__init__(**kwargs)
Constructor

Parameters
----------

storage_name : str
    Name to be used when storing dataset on disk
    Default value 'TUT-urban-acoustic-scenes-2018-mobile-development'

data_path : str
    Root path where the dataset is stored. If None, os.path.join(tempfile.gettempdir(), 'dcase_util_datasets')
    is used.
    Default value None

included_content_types : list of str or str
    Indicates what content type should be processed. One or multiple from ['all', 'audio', 'meta', 'code',
    'documentation']. If None given, ['all'] is used. Parameter can be also comma separated string.
    Default value None
def __init__(self, storage_name='TUT-urban-acoustic-scenes-2018-mobile-development', data_path=None, included_content_types=None, **kwargs):
    "\n        Constructor\n\n        Parameters\n        ----------\n\n        storage_name : str\n            Name to be used when storing dataset on disk\n            Default value 'TUT-urban-acoustic-scenes-2018-mobile-development'\n\n        data_path : str\n            Root path where the dataset is stored. If None, os.path.join(tempfile.gettempdir(), 'dcase_util_datasets')\n            is used.\n            Default value None\n\n        included_content_types : list of str or str\n            Indicates what content type should be processed. One or multiple from ['all', 'audio', 'meta', 'code',\n            'documentation']. If None given, ['all'] is used. Parameter can be also comma separated string.\n            Default value None\n\n        "
    kwargs['included_content_types'] = included_content_types
    kwargs['data_path'] = data_path
    kwargs['storage_name'] = storage_name
    kwargs['dataset_group'] = 'scene'
    kwargs['dataset_meta'] = {'authors': 'Toni Heittola, Annamaria Mesaros, and Tuomas Virtanen', 'title': 'TUT Urban Acoustic Scenes 2018 Mobile, development dataset', 'url': None, 'audio_source': 'Field recording', 'audio_type': 'Natural', 'recording_device_model': 'Various', 'microphone_model': 'Various', 'licence': 'free non-commercial'}
    kwargs['crossvalidation_folds'] = 1
    kwargs['meta_filename'] = 'meta.csv'
    filename_base = 'TUT-urban-acoustic-scenes-2018-mobile-development'
    source_url = 'https://zenodo.org/record/1228235/files/'
    kwargs['package_list'] = [{'content_type': 'documentation', 'remote_file': ((source_url + filename_base) + '.doc.zip'), 'remote_bytes': 12144, 'remote_md5': '5694e9cdffa11cef8ec270673dc19ba0', 'filename': (filename_base + '.doc.zip')}, {'content_type': 'meta', 'remote_file': ((source_url + filename_base) + '.meta.zip'), 'remote_bytes': 88425, 'remote_md5': 'b557b6d5d620aa4f15564ab38f1594d4', 'filename': (filename_base + '.meta.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.1.zip'), 'remote_bytes': 1692337547, 'remote_md5': 'd6f2671af84032b97f393354c124517d', 'filename': (filename_base + '.audio.1.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.2.zip'), 'remote_bytes': 1769203601, 'remote_md5': 'db8b3603af5d4e559869a592930a7620', 'filename': (filename_base + '.audio.2.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.3.zip'), 'remote_bytes': 1674610746, 'remote_md5': '703bf73523a6ad1f40d4923cb8ba3ff0', 'filename': (filename_base + '.audio.3.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.4.zip'), 'remote_bytes': 1634599587, 'remote_md5': '18af04ab5d6f15a72c66f16bfec0ca07', 'filename': (filename_base + '.audio.4.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.5.zip'), 'remote_bytes': 1640894390, 'remote_md5': 'a579efb032f209a7e77fe22e4808e9ca', 'filename': (filename_base + '.audio.5.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.6.zip'), 'remote_bytes': 1693974078, 'remote_md5': 'c2c56691047b3be3d98cb0ffd6858d9f', 'filename': (filename_base + '.audio.6.zip')}, {'content_type': 'audio', 'remote_file': ((source_url + filename_base) + '.audio.7.zip'), 'remote_bytes': 1165383562, 'remote_md5': 'e182e5300867f4ed4b580389cc5b931e', 'filename': (filename_base + '.audio.7.zip')}]
    kwargs['audio_paths'] = ['audio']
    super(TUTUrbanAcousticScenes_2018_Mobile_DevelopmentSet, self).__init__(**kwargs)