run_tf_glue works with all tasks

transformers/data/processors/glue.py

@@ -76,10 +76,14 @@ def glue_convert_examples_to_features(examples, tokenizer,
 
     features = []
     for (ex_index, example) in enumerate(examples):
+        if ex_index == 10:
+            break
+        
         if ex_index % 10000 == 0:
             logger.info("Writing example %d" % (ex_index))
         if is_tf_dataset:
             example = processor.get_example_from_tensor_dict(example)
+            example = processor.tfds_map(example)
 
         inputs = tokenizer.encode_plus(
             example.text_a,

transformers/data/processors/utils.py

@@ -107,6 +107,13 @@ class DataProcessor(object):
         """Gets the list of labels for this data set."""
         raise NotImplementedError()
 
+    def tfds_map(self, example):
+        """Some tensorflow_datasets datasets are not formatted the same way the GLUE datasets are. 
+        This method converts examples to the correct format."""
+        if len(self.get_labels()) > 1:
+            example.label = self.get_labels()[int(example.label)]
+        return example
+
     @classmethod
     def _read_tsv(cls, input_file, quotechar=None):
         """Reads a tab separated value file."""