我有一个问题，当我试图索引和掩蔽我的数据
我知道这个问题以前被问过，但我似乎不能让我的工作。

train = pd.read_csv('/kaggle/input/twitter2/train.csv', lineterminator='\n')
test = pd.read_csv('/kaggle/input/twitter2/test.csv', lineterminator='\n')
train.head()

    tweet                                                   gender
0   i need this for when my wife and i live in our...   1
1   why we never saw alfredhitchcock s bond and th...   0
2   oh my gosh the excitement of coming back from ...   1
3   because its monday and im missing him a little...   1
4   so to cwnetwork for having the current episode...   1


test.head()

        tweet                                                   gender
0   the opposite of faith is not doubt its absolu...    1
1   wen yu really value somethingyu stay commited ...   1
2   today was such a bad day i wish i could text t...   1
3   so i took a nap amp had the weirdest dream lit...   0
4   savagejaspy i like the purple but you seem mor...   1

字符串
我已经检查了这两个框架，他们已经与鸣叫和性别标签归档
但是当我试着运行下面的代码时。。

def xlnet_encode(data,maximum_length) :
    input_ids = []
    attention_masks = []

train_input_ids,train_attention_masks = xlnet_encode(train[:50000],60)
test_input_ids,test_attention_masks = xlnet_encode(test[:20000],60)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-27-8f651b283574> in <module>
----> 1 train_input_ids,train_attention_masks = xlnet_encode(tweet_train[:50000],60)
      2 test_input_ids,test_attention_masks = xlnet_encode(tweet_test[:20000],60)

TypeError: cannot unpack non-iterable NoneType object

型
这些代码的输出将是来自数据集和掩码的单词的索引号
我刚刚错过了什么吗？如何解决这个问题？