update

top5_error_rate.py

@@ -44,12 +44,12 @@ class Top5ErrorRate(evaluate.Metric):
             inputs_description=_KWARGS_DESCRIPTION,
             features=datasets.Features(
                 {
-                    "predictions": datasets.Sequence(list[datasets.Value("float32")]),
+                    "predictions": datasets.Sequence(datasets.Value("float32")),
                     "references": datasets.Sequence(datasets.Value("int32")),
                 }
                 if self.config_name == "multilabel"
                 else {
-                    "predictions": list[datasets.Value("float32")],
+                    "predictions": datasets.Value("float32"),
                     "references": datasets.Value("int32"),
                 }
             ),