class_docstr: Cassava leaf image dataset.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(),
                  "image/filename": tfds.features.Text(),  # test-cbb-0.jpg
                  "label": tfds.features.ClassLabel(names=_LABELS),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://www.kaggle.com/c/cassava-disease/overview",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cassava.py
imports: import os
  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 Cassava obj's underlying member method code with example usage: obj._info() and returns: tfds