class_docstr: Diabetic retinopathy detection.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=(
              "A large set of high-resolution retina images taken under "
              "a variety of imaging conditions."
          ),
          features=tfds.features.FeaturesDict(
              {
                  "name": tfds.features.Text(),  # patient ID + eye. eg: "4_left".
                  "image": tfds.features.Image(),
                  # From 0 (no DR - saine) to 4 (Proliferative DR). -1 means no label.
                  "label": tfds.features.ClassLabel(num_classes=5),
              }
          ),
          homepage="https://www.kaggle.com/c/diabetic-retinopathy-detection/data",
          citation=_CITATION,
      )
  
imports: import csv
  import io
  import os
  from absl import logging
  from etils import epath
  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 DiabeticRetinopathyDetection obj's underlying member method code with example usage: obj._info() and returns: tfds