class_docstr: Iris flower dataset.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          # tfds.features.FeatureConnectors
          features=tfds.features.FeaturesDict(
              {
                  "features": tfds.features.Tensor(
                      shape=(4,), dtype=np.float32
                  ),
                  # Here, labels can be one of 3 classes
                  "label": tfds.features.ClassLabel(
                      names=[
                          "Iris-setosa",
                          "Iris-versicolor",
                          "Iris-virginica",
                      ]
                  ),
              }
          ),
          supervised_keys=("features", "label"),
          homepage="https://archive.ics.uci.edu/ml/datasets/iris",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/structured/iris.py
imports: import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Iris obj's underlying member method code with example usage: obj._info() and returns: tfds