code: def __init__(self, num_samples, num_features):
      self.x = paddle.randn((num_samples, num_features))
      self.y = self.x.argmax(axis=-1)
  
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 PaddleArgMaxDataset object from inherited base classes: Dataset with example: obj = PaddleArgMaxDataset(num_samples, num_features)