class_docstr: Config to specify each RefCoco variant.
class_docstr_tok: ["Config","to","specify","each","RefCoco","variant","."]
code: def __init__(self, dataset, dataset_partition, **kwargs):
      name = f"{dataset}_{dataset_partition}"
      super(RefCocoConfig, self).__init__(name=name, **kwargs)
      self.dataset = dataset
      self.dataset_partition = dataset_partition
  
file_path: datasets/tensorflow_datasets/datasets/ref_coco/ref_coco_dataset_builder.py
imports: from __future__ import annotations
  import collections
  import json
  import operator
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new RefCocoConfig object from inherited base classes: tfds.core with example: obj = RefCocoConfig(dataset, dataset_partition)