Update REDFM.py

REDFM.py

@@ -102,10 +102,10 @@ class RedFM(datasets.GeneratorBasedBuilder):
                     "uri": datasets.Value("string"),
                     "lan": datasets.Value("string"),
                     "text": datasets.Value("string"),
-                    "entities": datasets.Sequence(feature={'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}),
-                    "relations": datasets.Sequence(feature={'subject': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}),
+                    "entities": [{'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}],
+                    "relations": [{'subject': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}),
                                                                 'predicate': datasets.ClassLabel(num_classes=32, names=['country', 'place of birth', 'spouse', 'country of citizenship', 'instance of', 'capital', 'child', 'shares border with', 'author', 'director', 'occupation', 'founded by', 'league', 'owned by', 'genre', 'named after', 'follows', 'headquarters location', 'cast member', 'manufacturer', 'located in or next to body of water', 'location', 'part of', 'mouth of the watercourse', 'member of', 'sport', 'characters', 'participant', 'notable work', 'replaces', 'sibling', 'inception']),
-                                                                'object': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')})}),
+                                                                'object': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')})}],
                 }
             )
         else:
@@ -115,10 +115,10 @@ class RedFM(datasets.GeneratorBasedBuilder):
                     "title": datasets.Value("string"),
                     "uri": datasets.Value("string"),
                     "text": datasets.Value("string"),
-                    "entities": datasets.Sequence(feature={'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}),
-                    "relations": datasets.Sequence(feature={'subject': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}),
+                    "entities": [{'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}],
+                    "relations": [{'subject': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')}),
                                                                 'predicate': datasets.ClassLabel(num_classes=32, names=['country', 'place of birth', 'spouse', 'country of citizenship', 'instance of', 'capital', 'child', 'shares border with', 'author', 'director', 'occupation', 'founded by', 'league', 'owned by', 'genre', 'named after', 'follows', 'headquarters location', 'cast member', 'manufacturer', 'located in or next to body of water', 'location', 'part of', 'mouth of the watercourse', 'member of', 'sport', 'characters', 'participant', 'notable work', 'replaces', 'sibling', 'inception']),
-                                                                'object': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')})}),
+                                                                'object': datasets.Features({'uri': datasets.Value(dtype='string'), 'surfaceform': datasets.Value(dtype='string'), 'type': datasets.Value(dtype='string'), 'start': datasets.Value(dtype='int32'), 'end': datasets.Value(dtype='int32')})}],
                 }
             )
         return datasets.DatasetInfo(