Try dynamic value type again

vendiscore.py

@@ -82,6 +82,23 @@ def get_dtype(config_name):
         return datasets.Value(config_name)
 
 
+def get_features(config_name):
+    if config_name in ("text", "default"):
+        return datasets.Features({"samples": datasets.Value("string")})
+    return [
+        datasets.Features({"samples": datasets.Value("int32")}),
+        datasets.Features(
+            {"samples": datasets.Sequence(datasets.Value("int32"))}
+        ),
+        datasets.Features({"samples": datasets.Value("float")}),
+        datasets.Features(
+            {"samples": datasets.Sequence(datasets.Value("float"))}
+        ),
+        datasets.Features({"samples": datasets.Image}),
+        datasets.Features({"samples": datasets.Array2D}),
+    ]
+
+
 @evaluate.utils.file_utils.add_start_docstrings(
     _DESCRIPTION, _KWARGS_DESCRIPTION
 )
@@ -96,19 +113,7 @@ class VendiScore(evaluate.Metric):
             description=_DESCRIPTION,
             citation=_CITATION,
             inputs_description=_KWARGS_DESCRIPTION,
-            features=[
-                datasets.Features({"samples": datasets.Value("string")}),
-                datasets.Features({"samples": datasets.Value("int32")}),
-                datasets.Features(
-                    {"samples": datasets.Sequence(datasets.Value("int32"))}
-                ),
-                datasets.Features({"samples": datasets.Value("float")}),
-                datasets.Features(
-                    {"samples": datasets.Sequence(datasets.Value("float"))}
-                ),
-                datasets.Features({"samples": datasets.Image}),
-                datasets.Features({"samples": datasets.Array2D}),
-            ],
+            features=get_features(self.config_name),
             homepage="http://github.com/Vertaix/Vendi-Score",
             codebase_urls=["http://github.com/Vertaix/Vendi-Score"],
             reference_urls=[],