class_docstr: Omniglot dataset.
class_docstr_tok: ["Omniglot","dataset","."]
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(
                      shape=(105, 105, 3), encoding_format="png"
                  ),
                  "alphabet": tfds.features.ClassLabel(
                      num_classes=_NUM_ALPHABETS
                  ),
                  "alphabet_char_id": np.int64,
                  "label": tfds.features.ClassLabel(
                      num_classes=_NUM_CLASSES
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          homepage=_BASE_URL,
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/omniglot.py
imports: import os
  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 Omniglot obj's underlying member method code with example usage: obj._info() and returns: tfds