Update: UTCD column types

utcd.py

@@ -96,15 +96,19 @@ class Utcd(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         dnms = self._get_dataset_names()
-        labels = [_config[dnm]['splits'][split]['labels'] for dnm in dnms for split in ['train', 'test']]
+        # labels = [_config[dnm]['splits'][split]['labels'] for dnm in dnms for split in ['train', 'test']]
+        # labels = sorted(set().union(*labels))  # drop duplicate labels across datasets
+        aspects = [d['aspect'] for dnm, d in _config.items()]
+        aspects = sorted(set(aspects))  # drop duplicate aspects
 
-        labels = sorted(set().union(*labels))  # drop duplicate labels across datasets
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(
                 text=datasets.Value(dtype='string'),
-                labels=datasets.Sequence(feature=datasets.ClassLabel(names=labels), length=-1),  # for multi-label
-                dataset_name=datasets.ClassLabel(names=dnms)
+                # labels=datasets.Sequence(feature=datasets.ClassLabel(names=labels), length=-1),  # for multi-label
+                labels=datasets.Sequence(feature=datasets.Value(dtype='string'), length=-1),
+                dataset_name=datasets.ClassLabel(names=dnms),
+                aspect=datasets.ClassLabel(names=aspects)
             ),
             homepage=_URL
             # TODO: citation
@@ -128,8 +132,9 @@ class Utcd(datasets.GeneratorBasedBuilder):
         id_ = 0
         for path in filepath:  # each file for one split of one dataset
             dnm = path.split(os.sep)[-2]
+            aspect = _config[dnm]['aspect']
             with open(path, encoding='utf-8') as fl:
                 dset = json.load(fl)
                 for txt, labels in dset.items():
-                    yield id_, dict(text=txt, labels=labels, dataset_name=dnm)
+                    yield id_, dict(text=txt, labels=labels, dataset_name=dnm, aspect=aspect)
                     id_ += 1