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)