class_docstr: SI-Score synthetic image dataset.
class_docstr_tok: ["SI-Score","synthetic","image","dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image_id": np.int64,
                  "image": tfds.features.Image(),
                  # ImageNet label space
                  "label": tfds.features.ClassLabel(num_classes=1000),
                  "dataset_label": tfds.features.ClassLabel(
                      names=labels.IMAGENET_LABELS_LIST
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          # Homepage of the dataset for documentation
          homepage="https://github.com/google-research/si-score",
      )
  
file_path: datasets/tensorflow_datasets/datasets/siscore/siscore_dataset_builder.py
imports: import dataclasses
  import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.datasets.siscore import labels
  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