class_docstr: Pet Finder.
class_docstr_tok: ["Pet","Finder","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(),
                  "image/filename": tfds.features.Text(),
                  "PetID": tfds.features.Text(),
                  "attributes": {name: np.int64 for name in _INT_FEATS},
                  "label": tfds.features.ClassLabel(num_classes=5),
              }
          ),
          supervised_keys=("attributes", "label"),
          homepage="https://www.kaggle.com/c/petfinder-adoption-prediction/data",
      )
  
file_path: datasets/tensorflow_datasets/datasets/pet_finder/pet_finder_dataset_builder.py
imports: from __future__ import annotations
  import os
  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 Builder obj's underlying member method code with example usage: obj._info() and returns: self