class_docstr: The General Language Understanding Evaluation (GLUE) benchmark.
class_docstr_tok: ["The","General","Language","Understanding","Evaluation","(","GLUE",")","benchmark","."]
code: def _info(self):
      features = {
          text_feature: tfds.features.Text()
          for text_feature in six.iterkeys(
              self.builder_config.text_features
          )
      }
      if self.builder_config.label_classes:
          features["label"] = tfds.features.ClassLabel(
              names=self.builder_config.label_classes
          )
      else:
          features["label"] = np.float32
      features["idx"] = np.int32
      return tfds.core.DatasetInfo(
          builder=self,
          description=_GLUE_DESCRIPTION,
          features=tfds.features.FeaturesDict(features),
          homepage=self.builder_config.url,
          citation=self.builder_config.citation + "\n" + _GLUE_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/glue.py
imports: import csv
  import os
  import textwrap
  from etils import epath
  import numpy
  import six
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Glue obj's underlying member method code with example usage: obj._info() and returns: tfds