class_docstr: NLI examples derived from SQuAD.
  
  See https://www.tensorflow.org/datasets/catalog/glue#glueqnli.
class_docstr_tok: ["NLI","examples","derived","from","SQuAD",".","See","https",":","\/\/www.tensorflow.org\/datasets\/catalog\/glue","#","glueqnli","."]
code: def __init__(self, split: str):
      self._examples = []
      for ex in load_tfds("glue/qnli", split=split):
          self._examples.append(
              {
                  "question": ex["question"].decode("utf-8"),
                  "sentence": ex["sentence"].decode("utf-8"),
                  "label": self.LABELS[ex["label"]],
              }
          )
  
imports: from typing import Optional
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import file_cache
  from lit_nlp.lib import utils
  import pandas
  import tensorflow_datasets
label_desc: Use image node_id 1 to create a new QNLIData object from inherited base classes: lit_dataset with example: obj = QNLIData(split)