class_docstr: BuilderConfig for groundedSCAN.
class_docstr_tok: ["BuilderConfig","for","groundedSCAN","."]
docstr: BuilderConfig for groundedSCAN.
  
  Args:
    data_path: path from which data will be downloaded.
    splits_names: list of splits for the given config.
    **kwargs: keyword arguments forwarded to super.
docstr_tok: ["BuilderConfig","for","groundedSCAN",".","Args",":","data_path",":","path","from","which","data","will","be","downloaded",".","splits_names",":","list","of","splits","for","the","given","config",".","*","*","kwargs",":","keyword","arguments","forwarded","to","super","."]
code: def __init__(
      self, *, data_path: str, splits_names: List[str], **kwargs
  ):
      """BuilderConfig for groundedSCAN.
  
      Args:
        data_path: path from which data will be downloaded.
        splits_names: list of splits for the given config.
        **kwargs: keyword arguments forwarded to super.
      """
      super(GroundedScanConfig, self).__init__(**kwargs)
      self.data_path = data_path
      self.splits_names = splits_names
  
file_path: datasets/tensorflow_datasets/vision_language/grounded_scan/grounded_scan.py
imports: from __future__ import annotations
  import json
  import os
  from typing import List
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new GroundedScanConfig object from inherited base classes: tfds.core with example: obj = GroundedScanConfig()