MY项目包含3个输入Passage，question，option，我想从这些输入中获得输出“正确答案”。所以，您能帮助您知道hoe为模型提供输入吗，我已经通过压缩3个输入完成了操作，但是我没有得到答案。我的代码是
def create_train_dev_set(tokenizer,pair, is_similar, max_sequence_length, validation_split_ratio):
quest = [x[0] for x in pair]
art = [x[1] for x in pair]
opt = [x[2] for x in pair]
train_sequences_1 = tokenizer.texts_to_sequences(quest)
train_sequences_2 = tokenizer.texts_to_sequences(art)
train_sequences_3 = tokenizer.texts_to_sequences(opt)
leaks = [[len(set(x1)), len(set(x2)),len(set(x3)),len(set(x1).intersection(x2)).intersection(x3)]
for x1, x2,x3 in zip(train_sequences_1, train_sequences_2,train_sequences_3)
train_padded_data_1 = pad_sequences(train_sequences_1, maxlen=max_sequence_length)
train_padded_data_2 = pad_sequences(train_sequences_2, maxlen=max_sequence_length)
train_padded_data_3 = pad_sequences(train_sequences_3, maxlen=max_sequence_length)
train_labels = np.array(is_similar)
leaks = np.array(leaks)
shuffle_indices = np.random.permutation(np.arange(len(train_labels)))
train_data_1_shuffled = train_padded_data_1[shuffle_indices]
train_data_2_shuffled = train_padded_data_2[shuffle_indices]
train_data_3_shuffled = train_padded_data_3[shuffle_indices]
train_labels_shuffled = train_labels[shuffle_indices]
leaks_shuffled = leaks[shuffle_indices]
dev_idx = max(1, int(len(train_labels_shuffled) * validation_split_ratio))
gc.collect()
train_data_1, val_data_1 = train_data_1_shuffled[:-dev_idx], train_data_1_shuffled[-dev_idx:]
train_data_2, val_data_2 = train_data_2_shuffled[:-dev_idx], train_data_2_shuffled[-dev_idx:]
train_data_3, val_data_3 = train_data_3_shuffled[:-dev_idx], train_data_3_shuffled[-dev_idx:]
labels_train, labels_val = train_labels_shuffled[:-dev_idx], train_labels_shuffled[-dev_idx:]
leaks_train, leaks_val = leaks_shuffled[:-dev_idx], leaks_shuffled[-dev_idx:]
return train_data_1, train_data_2,train_data_3,labels_train, leaks_train, val_data_1, val_data_2, val_data_3 labels_val, leaks_val
tokenizer, embedding_matrix = word_embed_meta_data(quest+ art+ opt, EMBEDDING_DIM)
embedding_meta_data = {
'tokenizer': tokenizer,
'embedding_matrix': embedding_matrix
}
pair = [(x1, x2, x3) for x1, x2, x3 in zip(quest,art,opt)]
我的输入是3个csv文件，输出是另一个csv