run_glue_no_trainer: datasets -> raw_datasets (#10898)

Use the correct variable (raw_datasets) instead of the module (datasets)
where appropriate.

examples/text-classification/run_glue_no_trainer.py

@@ -222,13 +222,13 @@ def main():
             num_labels = 1
     else:
         # Trying to have good defaults here, don't hesitate to tweak to your needs.
-        is_regression = datasets["train"].features["label"].dtype in ["float32", "float64"]
+        is_regression = raw_datasets["train"].features["label"].dtype in ["float32", "float64"]
         if is_regression:
             num_labels = 1
         else:
             # A useful fast method:
             # https://huggingface.co/docs/datasets/package_reference/main_classes.html#datasets.Dataset.unique
-            label_list = datasets["train"].unique("label")
+            label_list = raw_datasets["train"].unique("label")
             label_list.sort()  # Let's sort it for determinism
             num_labels = len(label_list)
 
@@ -249,7 +249,7 @@ def main():
         sentence1_key, sentence2_key = task_to_keys[args.task_name]
     else:
         # Again, we try to have some nice defaults but don't hesitate to tweak to your use case.
-        non_label_column_names = [name for name in datasets["train"].column_names if name != "label"]
+        non_label_column_names = [name for name in raw_datasets["train"].column_names if name != "label"]
         if "sentence1" in non_label_column_names and "sentence2" in non_label_column_names:
             sentence1_key, sentence2_key = "sentence1", "sentence2"
         else: