class_docstr: Abstract reasoning dataset.
class_docstr_tok: ["Abstract","reasoning","dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "context": tfds.features.Video(
                      shape=(8, 160, 160, 1)
                  ),
                  "answers": tfds.features.Video(
                      shape=(8, 160, 160, 1)
                  ),
                  "target": tfds.features.ClassLabel(num_classes=8),
                  "meta_target": tfds.features.Tensor(
                      shape=[12], dtype=np.int64
                  ),
                  "relation_structure_encoded": tfds.features.Tensor(
                      shape=[4, 12], dtype=np.int64
                  ),
                  "filename": tfds.features.Text(),
              }
          ),
          homepage=_URL,
      )
  
file_path: datasets/tensorflow_datasets/datasets/abstract_reasoning/abstract_reasoning_dataset_builder.py
imports: import os
  import random
  import numpy
  import six
  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