code: def custom_wrong_output_train_dataset(self):
      return CustomWrongOutputDataset(
          os.path.join(PATH, "data/mnist_clean_train_dataset_sample")
      )
  
imports: import os
  import pytest
  import torch
  from torch.utils.data import Dataset, DataLoader
  from pythae.customexception import DatasetError
  from pythae.data.datasets import DatasetOutput
  from pythae.models import VAE, VAEConfig, Adversarial_AE, Adversarial_AE_Config, RAE_L2, RAE_L2_Config, VAEGAN, VAEGANConfig
  from pythae.pipelines import *
  from pythae.samplers import NormalSampler, NormalSamplerConfig
  from pythae.trainers import BaseTrainerConfig
label_desc: Use image node_id 3 for calling the Test_Pipeline_Standalone obj's underlying member method code with example usage: obj.custom_wrong_output_train_dataset() and returns: CustomWrongOutputDataset