def make_vocab_files(): """ Produce the question and answer vocabulary files. """ print 'making question vocab...', config.QUESTION_VOCAB_SPACE qdic, _ = VQADataProvider.load_data(config.QUESTION_VOCAB_SPACE) question_vocab = make_question_vocab(qdic) print 'making answer vocab...', config.ANSWER_VOCAB_SPACE _, adic = VQADataProvider.load_data(config.ANSWER_VOCAB_SPACE) answer_vocab = make_answer_vocab(adic, config.NUM_OUTPUT_UNITS) return question_vocab, answer_vocab
def make_vocab_files(): """ Produce the question and answer vocabulary files. """ print 'making question vocab...', config.QUESTION_VOCAB_SPACE qdic, _ = VQADataProvider.load_data(config.QUESTION_VOCAB_SPACE) question_vocab = make_question_vocab(qdic) print 'making answer vocab...', config.ANSWER_VOCAB_SPACE _, adic = VQADataProvider.load_data(config.ANSWER_VOCAB_SPACE) answer_vocab = make_answer_vocab(adic, config.NUM_OUTPUT_UNITS) return question_vocab, answer_vocab
def make_vocab_files(): """ Produce the question and answer vocabulary files. """ write_log('making question vocab... ' + config.QUESTION_VOCAB_SPACE, 'log.txt') write_log('making question character vocab... ' + config.QUESTION_VOCAB_SPACE, 'log.txt') qdic, _ = VQADataProvider.load_data(config.QUESTION_VOCAB_SPACE) question_vocab, question_char_vocab = make_question_vocab(qdic) write_log('making answer vocab... ' + config.ANSWER_VOCAB_SPACE, 'log.txt') _, adic = VQADataProvider.load_data(config.ANSWER_VOCAB_SPACE) answer_vocab = make_answer_vocab(adic, config.NUM_OUTPUT_UNITS) return question_vocab, question_char_vocab, answer_vocab
def make_vocab_files(): """ Produce the question, answer, and explanation vocabulary files. """ print('making question vocab...', config.QUESTION_VOCAB_SPACE) qdic, _, _ = VQADataProvider.load_data(config.QUESTION_VOCAB_SPACE) question_vocab = make_question_vocab(qdic) print('making answer vocab...', config.ANSWER_VOCAB_SPACE) _, adic, _ = VQADataProvider.load_data(config.ANSWER_VOCAB_SPACE) answer_vocab = make_answer_vocab(adic, config.NUM_OUTPUT_UNITS) print('making explanation vocab...', config.EXP_VOCAB_SPACE) _, _, expdic = VQADataProvider.load_data(config.EXP_VOCAB_SPACE) explanation_vocab = make_exp_vocab(expdic) return question_vocab, answer_vocab, explanation_vocab