How to write get_items() method for DataBlock

I am struggling to write the correct method: get_items() for DataBlock.
This is the tutorial I am following.

question_label_path = 'text_label.csv'

def getTextLabels(arg):
    df = pd.read_csv(arg)
    return df[['text', 'label']].to_numpy()

textBlock = (TextBlock.from_df(text_cols = ['text'], vocab=dls_lm.vocab),CategoryBlock)

dls_clas = DataBlock(
    get_x = ColReader(cols='text'),
    get_y = ColReader(cols = "label"),
    get_items= getTextLabels,
    splitter = TrainTestSplitter(test_size = 0.2, random_state = 21, stratify=["label"])
).dataloaders(question_label_path, bs=64)

Due to the nature of my work, I cannot provide the full dataset, but it looks like this:
enter image description here

Here is the error message:
enter image description here

What did I miss?