class_docstr: CheXpert 2019.
class_docstr_tok: ["CheXpert","2019","."]
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "name": tfds.features.Text(),  # patient info
                  "image": tfds.features.Image(),
                  "label": tfds.features.Sequence(
                      tfds.features.ClassLabel(names=_LABELS.values())
                  ),
                  "image_view": tfds.features.ClassLabel(
                      names=["frontal", "lateral"]
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://stanfordmlgroup.github.io/competitions/chexpert/",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/chexpert.py
imports: import collections
  import csv
  import os
  from etils import epath
  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 Chexpert obj's underlying member method code with example usage: obj._info() and returns: tfds