class_docstr: A test dataset for classification testing.
class_docstr_tok: ["A","test","dataset","for","classification","testing","."]
code: def examples(self) -> list[lit_types.JsonDict]:
      return [
          {
              "size": "small",
              "weight": 0.01,
              "legs": True,
              "description": "small but strong",
              "animal": "ant",
          },
          {
              "size": "large",
              "weight": 0.8,
              "legs": True,
              "description": "has a trunk",
              "animal": "elephant",
          },
          {
              "size": "medium",
              "weight": 0.2,
              "legs": False,
              "description": "makes strange sounds",
              "animal": "seal",
          },
          {
              "size": "large",
              "weight": 2.5,
              "legs": False,
              "description": "excellent water displacement",
              "animal": "whale",
          },
      ]
  
imports: from unittest import mock
  from absl.testing import absltest
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import minimal_targeted_counterfactuals
  from lit_nlp.lib import caching
  import numpy
  import scipy.special
label_desc: Use image node_id 2 for calling the ClassificationTestDataset obj's underlying member method code with example usage: obj.examples() and returns: list