class_docstr: 可以被输入到分类模型中的普通数据集
code: def __init__(self, num_of_data=1000):
      self.num_of_data = num_of_data
      self._data = list(range(num_of_data))
  
imports: from functools import reduce
  from numpy import dtype
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
label_desc: Use image node_id 1 to create a new TorchNormalXYDataset object from inherited base classes: Dataset with example: obj = TorchNormalXYDataset(num_of_data)