code: def __init__(self, num_of_data=1000):
      self.num_of_data = num_of_data
      self._data = list(range(num_of_data))
  
file_path: fastNLP/tests/helpers/datasets/paddle_data.py
imports: import numpy
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
label_desc: Use image node_id 1 to create a new PaddleNormalDataset object from inherited base classes: Dataset with example: obj = PaddleNormalDataset(num_of_data)