qwer

my_metricv2.py

@@ -73,10 +73,10 @@ class MyMetricv2(evaluate.Metric):
             # This defines the format of each prediction and reference
             features=datasets.Features({
                 "predictions": [
-                    datasets.Sequence(datasets.Value("float32")),
+                    datasets.Value("float32")
                 ],
                 "references": [
-                    datasets.Sequence(datasets.Value("float32")),
+                    datasets.Value("float32")
                 ],
             }),
             # Homepage of the module for documentation
@@ -99,7 +99,7 @@ class MyMetricv2(evaluate.Metric):
         # predictions array de formato []
 
        #  accuracy = sum(i == j for i, j in zip(predictions, references)) / len(predictions)
-        
+
 
         return {