class_docstr: Random dataset for testing PL Module.
class_docstr_tok: ["Random","dataset","for","testing","PL","Module","."]
code: def __init__(self, size, length) -> None:
      self.len = length
      self.data = torch.randn(length, size)
  
imports: import torch
  from lightning_utilities import module_available
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new RandomDataset object from inherited base classes: Dataset with example: obj = RandomDataset(size, length)