Update metrics/rouge.py

metrics/rouge.py

@@ -1,32 +1,23 @@
 # Copied from https://github.com/huggingface/datasets/blob/d3c7b9481d427ce41256edaf6773c47570f06f3b/metrics/rouge/rouge.py
+# Added multiprocessing
 
+import multiprocessing
 import nltk
 from rouge_score import rouge_scorer, scoring
+from multiprocessing import Pool
 
 
-def compute_rouge(predictions, references, rouge_types=None, use_aggregator=True, use_stemmer=False):
+def compute_rouge(predictions, references, rouge_types=None, use_stemmer=False):
     if rouge_types is None:
         rouge_types = ["rouge1", "rouge2"]
 
     scorer = rouge_scorer.RougeScorer(rouge_types=rouge_types, use_stemmer=use_stemmer)
-    if use_aggregator:
-        aggregator = scoring.BootstrapAggregator()
-    else:
-        scores = []
-
-    for ref, pred in zip(references, predictions):
-        score = scorer.score(ref, pred)
-        if use_aggregator:
-            aggregator.add_scores(score)
-        else:
-            scores.append(score)
-
-    if use_aggregator:
-        result = aggregator.aggregate()
-    else:
-        result = {}
-        for key in scores[0]:
-            result[key] = list(score[key] for score in scores)
+    with Pool() as p:
+        scores = p.starmap(scorer.score, zip(references, predictions))
+
+    result = {}
+    for key in scores[0]:
+        result[key] = list(score[key] for score in scores)
 
     return result