def prepare(args): logger = logging.getLogger("rc") logger.info('train test split...') # train_test_split(args.all_file, args.train_file, args.test_file, args.train_rate) sen_data = Dataset(args) sen_data.build_vocab() with open(args.data_path, 'wb') as fout: pickle.dump(sen_data, fout) logger.info('Done with preparing!')