class_docstr: BuilderConfig for Blimp.
class_docstr_tok: ["BuilderConfig","for","Blimp","."]
docstr: BuilderConfig for Blimp.
  
  Args:
    paradigm_uid: string, UID of the linguistic paradigm
    **kwargs: keyword arguments forwarded to super.
docstr_tok: ["BuilderConfig","for","Blimp",".","Args",":","paradigm_uid",":","string",",","UID","of","the","linguistic","paradigm","*","*","kwargs",":","keyword","arguments","forwarded","to","super","."]
code: def __init__(self, *, paradigm_uid, **kwargs):
      """BuilderConfig for Blimp.
  
      Args:
        paradigm_uid: string, UID of the linguistic paradigm
        **kwargs: keyword arguments forwarded to super.
      """
      name = paradigm_uid
      super(BlimpConfig, self).__init__(
          name=name,
          description=f"This configuration includes the paradigm {name}.",
          version=tfds.core.Version("0.1.0"),
          **kwargs,
      )
  
file_path: datasets/tensorflow_datasets/datasets/blimp/blimp_dataset_builder.py
imports: from __future__ import annotations
  import json
  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 BlimpConfig object from inherited base classes: tfds.core with example: obj = BlimpConfig()