Inconsistent output in raw_train_dataset.features example: num_classes not displayed in ClassLabel output

[sergiopaniego]

In 3. Fine-tuning a pretrained model - Processing the data - Loading a dataset from the Hub, there is an example of the output provided when doing:

raw_train_dataset.features

It should expect (as per the document):

{'sentence1': Value(dtype='string', id=None),
 'sentence2': Value(dtype='string', id=None),
 'label': ClassLabel(num_classes=2, names=['not_equivalent', 'equivalent'], names_file=None, id=None),
 'idx': Value(dtype='int32', id=None)}

but it actually outputs:

{'sentence1': Value(dtype='string', id=None),
 'sentence2': Value(dtype='string', id=None),
 'label': ClassLabel(names=['not_equivalent', 'equivalent'], id=None),
 'idx': Value(dtype='int32', id=None)}

The ClassLabel output doesn't include num_classes and name_file.