class_docstr: DatasetBuilder for CIFAR-10H dataset.
class_docstr_tok: ["DatasetBuilder","for","CIFAR-10H","dataset","."]
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "id": tfds.features.Text(),
                  "image": tfds.features.Image(
                      shape=_CIFAR_IMAGE_SHAPE
                  ),
                  "label": tfds.features.ClassLabel(num_classes=10),
                  "soft_label": tfds.features.Tensor(
                      shape=(10,), dtype=np.float32
                  ),
                  "human_labels": tfds.features.Sequence(
                      feature=tfds.features.ClassLabel(num_classes=10)
                  ),
                  "trial_indices": tfds.features.Sequence(
                      feature=tfds.features.Scalar(dtype=np.int32)
                  ),
                  "annotator_ids": tfds.features.Sequence(
                      feature=tfds.features.Scalar(dtype=np.int32)
                  ),
                  "reaction_times": tfds.features.Sequence(
                      feature=tfds.features.Scalar(dtype=np.float32)
                  ),
              }
          ),
          supervised_keys=None,
          homepage="https://github.com/jcpeterson/cifar-10h",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cifar10_h/cifar10_h.py
imports: import collections
  import os
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import pandas
  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 Cifar10H obj's underlying member method code with example usage: obj._info() and returns: tfds