oh yeahhh babyyy

bangalore_score.py

@@ -87,17 +87,15 @@ class Bangalore_Score(evaluate.Metric):
         """Optional: download external resources useful to compute the scores"""
         # TODO: Download external resources if needed
         import nltk
-        import json
-        import evaluate
-        import pandas as pd
-        from datasets import Dataset, DatasetDict
-
         nltk.download('punkt')
-        evaluate.load('bleu')
-        evaluate.load('rouge')
-        evaluate.load('ncoop57/levenshtein_distance')
+
+        # import evaluate
+
+        # evaluate.load('bleu')
+        # evaluate.load('rouge')
+        # evaluate.load('ncoop57/levenshtein_distance')
         # evaluate.load('BramVanroy/CharCut')
-        evaluate.load('exact_match')
+        # evaluate.load('exact_match')
         # evaluate.load('accuracy')
         pass
 
@@ -208,11 +206,9 @@ class Bangalore_Score(evaluate.Metric):
 
         return {
             'exact_match_headers': exact_match_headers,
-            # 'charcut': charcut,
             'bleu': bleu,
             'rougeL': rougeL,
             'levenstein_distance': levenstein_distance,
-            # 'row_accuracy': row_accuracy,
         }