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.
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docstr: Initializes `dataset_info.DatasetInfo` for Conll datasets.
  
  Args:
    description: [DEPRECATED] A short, markdown-formatted description of the
      dataset. Prefer placing description in `README.md` file.
    supervised_keys:  Specifies the input structure for supervised learning,
      if applicable for the dataset, used with "as_supervised". Typically this
      is a `(input_key, target_key)` tuple.
    homepage: The homepage of the dataset, if applicable for this dataset.
    citation: [DEPRECATED] The citation to use for this dataset, if applicable
      for this dataset. Prefer placing citations in `CITATIONS.bib` file.
  
  Returns:
    `dataset_info.DatasetInfo` for Conll datasets, populated with the values
    from the provided arguments.
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code: def create_dataset_info(
      self,
      description: Optional[str] = None,
      supervised_keys: Optional[dataset_info.SupervisedKeysType] = None,
      homepage: Optional[str] = None,
      citation: Optional[str] = None,
  ) -> dataset_info.DatasetInfo:
      """Initializes `dataset_info.DatasetInfo` for Conll datasets.
  
      Args:
        description: [DEPRECATED] A short, markdown-formatted description of the
          dataset. Prefer placing description in `README.md` file.
        supervised_keys:  Specifies the input structure for supervised learning,
          if applicable for the dataset, used with "as_supervised". Typically this
          is a `(input_key, target_key)` tuple.
        homepage: The homepage of the dataset, if applicable for this dataset.
        citation: [DEPRECATED] The citation to use for this dataset, if applicable
          for this dataset. Prefer placing citations in `CITATIONS.bib` file.
  
      Returns:
        `dataset_info.DatasetInfo` for Conll datasets, populated with the values
        from the provided arguments.
      """
      return self.dataset_info_from_configs(
          description=description,
          features=self.builder_config.features_dict,
          supervised_keys=supervised_keys,
          homepage=homepage,
          citation=citation,
      )
  
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 2 for calling the ConllDatasetBuilder obj's underlying member method code with example usage: obj.create_dataset_info(description, supervised_keys, homepage, citation) and returns: self