class_docstr: The Abstraction and Reasoning Corpus (ARC).
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  # Grids are of varying size
                  "task_id": tfds.features.Text(),
                  "train": tfds.features.Sequence(
                      {
                          "input": tfds.features.Sequence(
                              tfds.features.Sequence(np.int32)
                          ),
                          "output": tfds.features.Sequence(
                              tfds.features.Sequence(np.int32)
                          ),
                      }
                  ),
                  "test": tfds.features.Sequence(
                      {
                          "input": tfds.features.Sequence(
                              tfds.features.Sequence(np.int32)
                          ),
                          "output": tfds.features.Sequence(
                              tfds.features.Sequence(np.int32)
                          ),
                      }
                  ),
              }
          ),
          # If there's a common (input, target) tuple from the features,
          # specify them here. They'll be used if as_supervised=True in
          # builder.as_dataset.
          supervised_keys=None,
          # Homepage of the dataset for documentation
          homepage=_BASE_URL,
      )
  
file_path: datasets/tensorflow_datasets/datasets/arc/arc_dataset_builder.py
imports: import json
  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