src/transformers/data/processors/xnli.py/XnliProcessor/get_train_examples
class XnliProcessor:    def get_train_examples(self, data_dir):
        """See base class."""
        lg = self.language if self.train_language is None else self.train_language
        lines = self._read_tsv(os.path.join(data_dir, f"XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv"))
        examples = []
        for (i, line) in enumerate(lines):
            if i == 0:
                continue
            guid = f"train-{i}"
            text_a = line[0]
            text_b = line[1]
            label = "contradiction" if line[2] == "contradictory" else line[2]
            assert isinstance(text_a, str), f"Training input {text_a} is not a string"
            assert isinstance(text_b, str), f"Training input {text_b} is not a string"
            assert isinstance(label, str), f"Training label {label} is not a string"
            examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label))
        return examples