def prepare(self):
    'Prepare dataset for the usage.\n\n        Returns\n        -------\n        self\n\n        '
    if (not self.meta_container.exists()):
        evaluate_filename = self.evaluation_setup_filename(setup_part='evaluate')
        eval_file = MetaDataContainer(filename=evaluate_filename)
        if eval_file.exists():
            eval_data = eval_file.load()
            meta_data = {}
            for item in eval_data:
                if (item.filename not in meta_data):
                    self.process_meta_item(item=item, absolute_path=False)
                    meta_data[item.filename] = item
            MetaDataContainer(list(meta_data.values())).save(filename=self.meta_file)
            self.load()
    return self
Prepare dataset for the usage.

Returns
-------
self
def prepare(self):
    'Prepare dataset for the usage.\n\n        Returns\n        -------\n        self\n\n        '
    if (not self.meta_container.exists()):
        evaluate_filename = self.evaluation_setup_filename(setup_part='evaluate')
        eval_file = MetaDataContainer(filename=evaluate_filename)
        if eval_file.exists():
            eval_data = eval_file.load()
            meta_data = {}
            for item in eval_data:
                if (item.filename not in meta_data):
                    self.process_meta_item(item=item, absolute_path=False)
                    meta_data[item.filename] = item
            MetaDataContainer(list(meta_data.values())).save(filename=self.meta_file)
            self.load()
    return self