class_docstr: Base class for CoNLL-like formatted datasets.
  
  It provides functionalities to ease the processing of CoNLL-like datasets.
  Users can overwrite `_generate_examples` to customize the pipeline.
class_docstr_tok: ["Base","class","for","CoNLL-like","formatted","datasets",".","It","provides","functionalities","to","ease","the","processing","of","CoNLL-like","datasets",".","Users","can","overwrite","`","_generate_examples","`","to","customize","the","pipeline","."]
docstr: `tfds.core.BuilderConfig` for this builder.
docstr_tok: ["`","tfds.core.BuilderConfig","`","for","this","builder","."]
code: def builder_config(self) -> ConllBuilderConfig:
      """`tfds.core.BuilderConfig` for this builder."""
      return self._builder_config
  
file_path: datasets/tensorflow_datasets/core/dataset_builders/conll/conll_dataset_builder.py
imports: import collections
  from collections.abc import Sequence
  from typing import Optional, Union
  from etils import epath
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import split_builder
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.features.features_dict import FeaturesDict
label_desc: Use image node_id 1 for calling the ConllDatasetBuilder obj's underlying member method code with example usage: obj.builder_config() and returns: self