def __init__(self, storage_name='TUT-acoustic-scenes-2017-evaluation', 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-acoustic-scenes-2017-evaluation'\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': 'Annamaria Mesaros, Toni Heittola, and Tuomas Virtanen', 'title': 'TUT Acoustic Scenes 2017, development dataset', 'url': None, 'audio_source': 'Field recording', 'audio_type': 'Natural', 'recording_device_model': 'Roland Edirol R-09', 'microphone_model': 'Soundman OKM II Klassik/studio A3 electret microphone', 'licence': 'free non-commercial'}
    kwargs['crossvalidation_folds'] = None
    source_url = 'https://zenodo.org/record/1040168/files/'
    kwargs['package_list'] = [{'content_type': 'documentation', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.doc.zip'), 'remote_bytes': 53687, 'remote_md5': '53709a07416ea3b617c02fcf67dbeb9c', 'filename': 'TUT-acoustic-scenes-2017-evaluation.doc.zip'}, {'content_type': 'meta', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.meta.zip'), 'remote_bytes': 4473, 'remote_md5': '200eee9493e8044403e1326e3d05cfde', 'filename': 'TUT-acoustic-scenes-2017-evaluation.meta.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.1.zip'), 'remote_bytes': 1071856687, 'remote_md5': '3d6dda4445871e9544e0fefe7d14c7d9', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.1.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.2.zip'), 'remote_bytes': 1073362972, 'remote_md5': '4085ef5fa286f2169074993a4e405953', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.2.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.3.zip'), 'remote_bytes': 1071521152, 'remote_md5': 'cac432579e7cf2dff0aec7aaed248956', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.3.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.4.zip'), 'remote_bytes': 382756463, 'remote_md5': '664bf09c3d24bd26c6b587f1d709de36', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.4.zip'}]
    kwargs['audio_paths'] = ['audio']
    super(TUTAcousticScenes_2017_EvaluationSet, self).__init__(**kwargs)
Constructor

Parameters
----------

storage_name : str
    Name to be used when storing dataset on disk
    Default value 'TUT-acoustic-scenes-2017-evaluation'

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-acoustic-scenes-2017-evaluation', 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-acoustic-scenes-2017-evaluation'\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': 'Annamaria Mesaros, Toni Heittola, and Tuomas Virtanen', 'title': 'TUT Acoustic Scenes 2017, development dataset', 'url': None, 'audio_source': 'Field recording', 'audio_type': 'Natural', 'recording_device_model': 'Roland Edirol R-09', 'microphone_model': 'Soundman OKM II Klassik/studio A3 electret microphone', 'licence': 'free non-commercial'}
    kwargs['crossvalidation_folds'] = None
    source_url = 'https://zenodo.org/record/1040168/files/'
    kwargs['package_list'] = [{'content_type': 'documentation', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.doc.zip'), 'remote_bytes': 53687, 'remote_md5': '53709a07416ea3b617c02fcf67dbeb9c', 'filename': 'TUT-acoustic-scenes-2017-evaluation.doc.zip'}, {'content_type': 'meta', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.meta.zip'), 'remote_bytes': 4473, 'remote_md5': '200eee9493e8044403e1326e3d05cfde', 'filename': 'TUT-acoustic-scenes-2017-evaluation.meta.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.1.zip'), 'remote_bytes': 1071856687, 'remote_md5': '3d6dda4445871e9544e0fefe7d14c7d9', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.1.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.2.zip'), 'remote_bytes': 1073362972, 'remote_md5': '4085ef5fa286f2169074993a4e405953', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.2.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.3.zip'), 'remote_bytes': 1071521152, 'remote_md5': 'cac432579e7cf2dff0aec7aaed248956', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.3.zip'}, {'content_type': 'audio', 'remote_file': (source_url + 'TUT-acoustic-scenes-2017-evaluation.audio.4.zip'), 'remote_bytes': 382756463, 'remote_md5': '664bf09c3d24bd26c6b587f1d709de36', 'filename': 'TUT-acoustic-scenes-2017-evaluation.audio.4.zip'}]
    kwargs['audio_paths'] = ['audio']
    super(TUTAcousticScenes_2017_EvaluationSet, self).__init__(**kwargs)