def __init__()

in detector/dataset.py [0:0]


    def __init__(self, name, data_dir='data', skip_train=False):
        download(name, data_dir=data_dir)
        self.name = name
        self.train = load_texts(f'{data_dir}/{name}.train.jsonl', expected_size=250000) if not skip_train else None
        self.test = load_texts(f'{data_dir}/{name}.test.jsonl', expected_size=5000)
        self.valid = load_texts(f'{data_dir}/{name}.valid.jsonl', expected_size=5000)