upd: adapted features

rwth_phoenix_weather_2014.py

@@ -78,14 +78,16 @@ class RWTHPhoenixWeather2014(datasets.GeneratorBasedBuilder):
     ]
 
     def _info(self):
+        features_dict = {
+            "tokens": datasets.Sequence(feature=datasets.Value(dtype='string')),
+        }
+
+        if self.config.name != "pre-training":
+            features_dict["frames"] = datasets.Sequence(feature=datasets.Image())
+
         return datasets.DatasetInfo(
             description=_DESCRIPTION + self.config.description,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Sequence(feature=datasets.Value(dtype='string')),
-                    "frames": datasets.Sequence(feature=datasets.Image()),
-                }
-            ),
+            features=datasets.Features(features_dict),
             # No default supervised_keys (as we have to pass both question
             # and context as input).
             supervised_keys=None,
@@ -159,7 +161,9 @@ class RWTHPhoenixWeather2014(datasets.GeneratorBasedBuilder):
 
             result = {
                 "tokens": tokens,
-                "frames": frames_as_list if frames_as_list is not None else [],
             }
 
-            yield id,
+            if frames_as_list is not None:
+                result["frames"] = frames_as_list
+
+            yield id, result