Update metric.py

metric.py

@@ -40,14 +40,7 @@ Examples:
 
 
 _CITATION = """
-@article{ChineseChartExtractor,
-  title={Research on Chinese Chart Data Extraction Methods},
-  author={Qiuping Ma,Hangshuo Bi,Qi Zhang,Xiaofan Zhao},
-  journal={None},
-  volume={0},
-  pages={0--0},
-  year={2025}
-}
+
 """
 
 
@@ -123,7 +116,6 @@ class Accuracy(evaluate.Metric):
                     true_positives += nested_metrics['true_positives']
                     false_positives += nested_metrics['false_positives']
                     false_negatives += nested_metrics['false_negatives']
-
                 elif true_value == 0 and abs(pred_value) < 0.05:
                     true_positives += 1
                 elif true_value != 0 and abs((pred_value - true_value) / true_value) < 0.05:
@@ -133,11 +125,11 @@ class Accuracy(evaluate.Metric):
                     false_negatives += 1
             else:
                 false_positives += 1
+
         for key in true_table:
             if key not in pred_table:
                 false_negatives += 1
 
-
         precision = true_positives / (true_positives + false_positives) if (true_positives + false_positives) > 0 else 0
         recall = true_positives / (true_positives + false_negatives) if (true_positives + false_negatives) > 0 else 0
         f1 = 2 * (precision * recall) / (precision + recall) if (precision + recall) > 0 else 0
@@ -160,16 +152,16 @@ class Accuracy(evaluate.Metric):
 def main():
     accuracy_metric = Accuracy()
 
-
+    # 计算指标
     results = accuracy_metric.compute(
         predictions=["""
 |  | lobby | search | band | charge | chain ||--|--|--|--|--|--|| desire | 5 | 8 | 7 | 5 | 9 || wage | 1 | 5 | 3 | 8 | 5 |
-"""], 
+"""],  # 预测的表格
         references=["""
 |  | lobby | search | band | charge | chain ||--|--|--|--|--|--|| desire | 1 | 6 | 7 | 5 | 9 || wage | 1 | 5 | 2 | 8 | 5 |
-"""],   
+"""],   # 参考的表格
     )
-    print(results) 
+    print(results)  # 输出结果
 
 if __name__ == '__main__':
     main()