class_docstr: Base class for CoNLL-like formatted data configuration.
  
  Attributes:
    separator: The separator used for splitting feature columns in the input
      lines. For CoNLL-formatted data, this is usually a tab or a space.
    ordered_features: An OrderedDict specifying the features names and their
      type, in the same order as they appear as columns in the input lines.
class_docstr_tok: ["Base","class","for","CoNLL-like","formatted","data","configuration",".","Attributes",":","separator",":","The","separator","used","for","splitting","feature","columns","in","the","input","lines",".","For","CoNLL-formatted","data",",","this","is","usually","a","tab","or","a","space",".","ordered_features",":","An","OrderedDict","specifying","the","features","names","and","their","type",",","in","the","same","order","as","they","appear","as","columns","in","the","input","lines","."]
docstr: Initializes the builder config for Conll datasets.
  
  Args:
    separator: The separator used for splitting feature columns in the input
      lines. For CoNLL-formatted data, this is usually a tab or a space.
    ordered_features: An OrderedDict specifying the features names and their
      type, in the same order as they appear as columns in the input lines.
    **kwargs: keyword arguments forwarded to super.
docstr_tok: ["Initializes","the","builder","config","for","Conll","datasets",".","Args",":","separator",":","The","separator","used","for","splitting","feature","columns","in","the","input","lines",".","For","CoNLL-formatted","data",",","this","is","usually","a","tab","or","a","space",".","ordered_features",":","An","OrderedDict","specifying","the","features","names","and","their","type",",","in","the","same","order","as","they","appear","as","columns","in","the","input","lines",".","*","*","kwargs",":","keyword","arguments","forwarded","to","super","."]
code: def __init__(
      self,
      *,
      separator: str,
      ordered_features: collections.OrderedDict[
          str, feature_lib.FeatureConnector
      ],
      **kwargs,
  ):
      """Initializes the builder config for Conll datasets.
  
      Args:
        separator: The separator used for splitting feature columns in the input
          lines. For CoNLL-formatted data, this is usually a tab or a space.
        ordered_features: An OrderedDict specifying the features names and their
          type, in the same order as they appear as columns in the input lines.
        **kwargs: keyword arguments forwarded to super.
      """
      super(ConllBuilderConfig, self).__init__(**kwargs)
      self.separator = separator
      self.ordered_features = ordered_features
  
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 to create a new ConllBuilderConfig object from inherited base classes: dataset_builder with example: obj = ConllBuilderConfig()