Update DiaBLa.py

DiaBLa.py

@@ -118,25 +118,27 @@ class Diabla(datasets.GeneratorBasedBuilder):
                     ),
                     'dialogue_history': datasets.features.Sequence(
                         [
-                            'id': datasets.Value("string"),
-                            'orig': datasets.Value("string"),
-                            'norm': datasets.Value("string"),
-                            'mt': datasets.Value("string"),
-                            'ref': datasets.Value("string"),
-                            'utterance_meta': datasets.features.Sequence(
+                            datasets.features.Sequence(
                                 {
-                                    'judgment': ClassLabel(num_classes=3, names=['poor', 'medium', 'perfect']),
-                                     'verbatim': datasets.Value("string"),
-                                     'problems': datasets.features.Sequence(
-                                         [
-                                             ClassLabel(num_classes=5, 
-                                                        names=['coherence', 'grammar', 'meaning', 'word choice', 'style'])
-                                         ]
-                                      ),
-                                     'lang': ClassLabel(num_classes=2, names=['en', 'fr']),
-                                }
-                            ),
-                         
+                                    'id': datasets.Value("string"),
+                                    'orig': datasets.Value("string"),
+                                    'norm': datasets.Value("string"),
+                                    'mt': datasets.Value("string"),
+                                    'ref': datasets.Value("string"),
+                                    'utterance_meta': datasets.features.Sequence(
+                                        {
+                                            'judgment': ClassLabel(num_classes=3, names=['poor', 'medium', 'perfect']),
+                                             'verbatim': datasets.Value("string"),
+                                             'problems': datasets.features.Sequence(
+                                                 [
+                                                     ClassLabel(num_classes=5, 
+                                                                names=['coherence', 'grammar', 'meaning', 'word choice', 'style'])
+                                                 ]
+                                              ),
+                                             'lang': ClassLabel(num_classes=2, names=['en', 'fr']),
+                                        }
+                                    ),
+                             }),
                         ]
                     )
                 }