Update datastats.py

datastats.py

@@ -293,10 +293,12 @@ class DataStats(evaluate.Metric):
         predictions, 
         references, 
         n_gram: int = 3, 
-        n_workers: int = 24, 
+        n_workers: int = 4, 
         lowercase: bool = False, 
         tokenize: bool = True
     ):
+        logger.info(predictions)
+        logger.info(references)
         datastats = DataStatsMetric(n_gram, n_workers, lowercase, tokenize)
         results = datastats.evaluate_batch(predictions, references)
         coverage = float(results['coverage'])