class_docstr: We create one or more ``DummyDataset`` classes to provide random data to the model for testing.
code: def __getitem__(self, index):
      return {
          DataKeys.INPUT: torch.randn(self.num_features),
          DataKeys.TARGET: torch.randint(self.num_classes - 1, (1,))[0],
      }
  
imports: import os
  import numpy
  import pytest
  import torch
  from flash import Trainer
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _SKLEARN_AVAILABLE, _TOPIC_CORE_AVAILABLE
  from flash.template import TemplateSKLearnClassifier
  from flash.template.classification.data import TemplateData
  from torch import Tensor
label_desc: Use image node_id 1 for calling the DummyDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict