create a new dataset, meaning the same as creating a version but
            with extra metadata like license and user/owner.
             Parameters
            ==========
            folder: the folder to initialize the metadata file in
            public: should the dataset be public?
            quiet: suppress verbose output (default is False)
            convert_to_csv: if True, convert data to comma separated value
            dir_mode: What to do with directories: "skip" - ignore; "zip" - compress and upload

def dataset_create_new(self,
                           folder,
                           public=False,
                           quiet=False,
                           convert_to_csv=True,
                           dir_mode='skip'):
        """ create a new dataset, meaning the same as creating a version but
            with extra metadata like license and user/owner.
             Parameters
            ==========
            folder: the folder to initialize the metadata file in
            public: should the dataset be public?
            quiet: suppress verbose output (default is False)
            convert_to_csv: if True, convert data to comma separated value
            dir_mode: What to do with directories: "skip" - ignore; "zip" - compress and upload
        """
        if not os.path.isdir(folder):
            raise ValueError('Invalid folder: ' + folder)

        meta_file = self.get_dataset_metadata_file(folder)

        # read json
        with open(meta_file) as f:
            meta_data = json.load(f)
        ref = self.get_or_fail(meta_data, 'id')
        title = self.get_or_fail(meta_data, 'title')
        licenses = self.get_or_fail(meta_data, 'licenses')
        ref_list = ref.split('/')
        owner_slug = ref_list[0]
        dataset_slug = ref_list[1]

        # validations
        if ref == self.config_values[self.
                                     CONFIG_NAME_USER] + '/INSERT_SLUG_HERE':
            raise ValueError(
                'Default slug detected, please change values before uploading')
        if title == 'INSERT_TITLE_HERE':
            raise ValueError(
                'Default title detected, please change values before uploading'
            )
        if len(licenses) != 1:
            raise ValueError('Please specify exactly one license')
        if len(dataset_slug) < 6 or len(dataset_slug) > 50:
            raise ValueError(
                'The dataset slug must be between 6 and 50 characters')
        if len(title) < 6 or len(title) > 50:
            raise ValueError(
                'The dataset title must be between 6 and 50 characters')
        resources = meta_data.get('resources')
        if resources:
            self.validate_resources(folder, resources)

        license_name = self.get_or_fail(licenses[0], 'name')
        description = meta_data.get('description')
        keywords = self.get_or_default(meta_data, 'keywords', [])

        subtitle = meta_data.get('subtitle')
        if subtitle and (len(subtitle) < 20 or len(subtitle) > 80):
            raise ValueError(
                'Subtitle length must be between 20 and 80 characters')

        request = DatasetNewRequest(
            title=title,
            slug=dataset_slug,
            owner_slug=owner_slug,
            license_name=license_name,
            subtitle=subtitle,
            description=description,
            files=[],
            is_private=not public,
            convert_to_csv=convert_to_csv,
            category_ids=keywords)
        resources = meta_data.get('resources')
        self.upload_files(request, resources, folder, quiet, dir_mode)
        result = DatasetNewResponse(
            self.process_response(
                self.datasets_create_new_with_http_info(request)))

        return result