class_docstr: BuilderConfig for FLIC.
docstr: Constructs a FlicConfig.
docstr_tok: ["Constructs","a","FlicConfig","."]
code: def __init__(self, *, data, **kwargs):
      """Constructs a FlicConfig."""
      if data not in _DATA_OPTIONS:
          raise ValueError("data must be one of %s" % _DATA_OPTIONS)
  
      descriptions = {
          "small": "5003 examples used in CVPR13 MODEC paper.",
          "full": (
              "20928 examples, a superset of FLIC consisting of more difficult "
              "examples."
          ),
      }
      description = kwargs.get(
          "description", "Uses %s" % descriptions[data]
      )
      kwargs["description"] = description
  
      super(FlicConfig, self).__init__(**kwargs)
      self.data = data
      self.url = _URL_SUBSET if data == "small" else _URL_SUPERSET
      self.dir = "FLIC" if data == "small" else "FLIC-full"
  
file_path: datasets/tensorflow_datasets/datasets/flic/flic_dataset_builder.py
imports: import os
  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 FlicConfig object from inherited base classes: tfds.core with example: obj = FlicConfig()