code: def create(model_config, batch_size, vectors=None):
      
      path = model_config.data_dir('imdb')
  
      text_field = data.Field(lower=True, tokenize='spacy', batch_first=True)
      label_field = data.LabelField(is_target=True)
  
      train_source, test_source = IMDBCached.splits(
          root=path,
          text_field=text_field,
          label_field=label_field
      )
  
      text_field.build_vocab(train_source, max_size=25_000, vectors=vectors)
      label_field.build_vocab(train_source)
  
      train_iterator, test_iterator = data.BucketIterator.splits(
          (train_source, test_source),
          batch_size=batch_size,
          device=model_config.torch_device(),
          shuffle=True
      )
  
      return TextData(
          train_source, test_source, train_iterator, test_iterator, text_field, label_field
      )
docs: Create an IMDB dataset