from paddlenlp.datasets import load_dataset

train_ds, dev_ds = load_dataset('dureader_qg', splits=('train', 'dev'))

报错信息：

1 from paddlenlp.datasets import load_dataset
2
3 train_ds, dev_ds = load_dataset('dureader_qg', splits=('train', 'dev'))
4
5 for idx in range(2):
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/__init__.py in
27 import paddle
28
---> 29 from . import (
30 data,
31 dataaug,
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/data/__init__.py in
14
15 from .collate import *
---> 16 from .data_collator import *
17 from .vocab import *
18 from .sampler import *
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/data/data_collator.py in
21 import warnings
22 from dataclasses import dataclass
---> 23 from ..transformers.tokenizer_utils_base import BatchEncoding, PretrainedTokenizerBase, PaddingStrategy
24
25 __all__ = [
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/transformers/__init__.py in
15
16 from .configuration_utils import PretrainedConfig
---> 17 from .model_utils import PretrainedModel, register_base_model
18 from .tokenizer_utils import (
19 PretrainedTokenizer,
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/transformers/model_utils.py in
214
215 @six.add_metaclass(InitTrackerMeta)
--> 216 class PretrainedModel(Layer, GenerationMixin, ConversionMixin):
217 """
218 The base class for all pretrained models. It mainly provides common methods
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py in wrapper(cls)
892 if hasattr(cls, '__qualname__'):
893 orig_vars['__qualname__'] = cls.__qualname__
--> 894 return metaclass(cls.__name__, cls.__bases__, orig_vars)
895 return wrapper
896
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/transformers/utils.py in __init__(cls, name, bases, attrs)
140 pre_init_func = getattr(cls, "_pre_init", None) if "__init__" in attrs else None
141 post_init_func = getattr(cls, "_post_init", None) if "__init__" in attrs else None
--> 142 cls.__init__ = InitTrackerMeta.init_and_track_conf(init_func, pre_init_func, post_init_func)
143 super(InitTrackerMeta, cls).__init__(name, bases, attrs)
144
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlenlp/transformers/utils.py in __setattr__(self, name, value)
181 def __setattr__(self, name, value):
182 value = adapt_stale_fwd_patch(self, name, value)
--> 183 return super(InitTrackerMeta, self).__setattr__(name, value)
184
185
TypeError: can't apply this __setattr__ to type object