fix v1

nl2bash_m.py

@@ -131,7 +131,7 @@ class nl2bash_m(evaluate.Metric):
 
         for pred, ref in zip(predictions, references):
             print(pred, ref)
-            pred_words, ref_words = pred[0].split(), ref[0].split()
+            pred_words, ref_words = pred.split(), ref[0].split()
             # Get the cmd of predicted and ref 
             cmd_corr = 1 if pred_words.pop(0)==ref_words.pop(0) else 0