class_docstr: DatasetBuilder for symmetric_solids dataset.
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(
                      shape=_IMAGE_DIMENSIONS, dtype=np.uint8
                  ),
                  "label_shape": tfds.features.ClassLabel(
                      names=_SHAPE_NAMES
                  ),
                  "rotation": tfds.features.Tensor(
                      shape=(3, 3), dtype=np.float32
                  ),
                  "rotations_equivalent": tfds.features.Tensor(
                      shape=(None, 3, 3), dtype=np.float32
                  ),
              }
          ),
          # These are returned if `as_supervised=True` in `builder.as_dataset`.
          supervised_keys=("image", "rotation"),
          homepage="https://implicit-pdf.github.io",
      )
  
imports: import numpy
  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