Upload SemEval2014Task4.py

SemEval2014Task4.py

@@ -93,15 +93,18 @@ class SemEval2014Task4(datasets.GeneratorBasedBuilder):
                 'text': datasets.Value(dtype='string'),
                 'aspectTerms': [
                     {'term': datasets.Value(dtype='string'),
-                    'polarity': ClassLabel(num_classes=4, names=['positive', 'negative', 'neutral', 'conflict']),
+                    # 'polarity': ClassLabel(num_classes=4, names=['positive', 'negative', 'neutral', 'conflict']),
+                    'polarity': datasets.Value(dtype='string'),
                     'from': datasets.Value(dtype='string'),
                     'to': datasets.Value(dtype='string')}
                 ],
                 'aspectCategories': [
-                    {'category': ClassLabel(num_classes=5, names=['food', 'service', 'price', 'ambience', 'anecdotes/miscellaneous']),
-                    'polarity': ClassLabel(num_classes=4, names=['positive', 'negative', 'neutral', 'conflict'])}
+                    # {'category': ClassLabel(num_classes=5, names=['food', 'service', 'price', 'ambience', 'anecdotes/miscellaneous']),
+                    # 'polarity': ClassLabel(num_classes=4, names=['positive', 'negative', 'neutral', 'conflict'])}
+                    {'category': datasets.Value(dtype='string'),
+                     'polarity': datasets.Value(dtype='string')}
                 ],
-                'domain': ClassLabel(num_classes=2, names=['restaurants', 'laptops'])
+                # 'domain': ClassLabel(num_classes=2, names=['restaurants', 'laptops'])
                  }
             )
         elif self.config.name == "laptops":
@@ -110,11 +113,12 @@ class SemEval2014Task4(datasets.GeneratorBasedBuilder):
                  'text': datasets.Value(dtype='string'),
                  'aspectTerms': [
                      {'term': datasets.Value(dtype='string'),
-                      'polarity': ClassLabel(num_classes=4, names=['positive', 'negative', 'neutral', 'conflict']),
+                      # 'polarity': ClassLabel(num_classes=4, names=['positive', 'negative', 'neutral', 'conflict']),
+                      'polarity': datasets.Value(dtype='string'),
                       'from': datasets.Value(dtype='string'),
                       'to': datasets.Value(dtype='string')}
                  ],
-                 'domain': ClassLabel(num_classes=2, names=['restaurants', 'laptops'])
+                 # 'domain': ClassLabel(num_classes=2, names=['restaurants', 'laptops'])
                  }
             )
         return datasets.DatasetInfo(
@@ -182,12 +186,12 @@ class SemEval2014Task4(datasets.GeneratorBasedBuilder):
                     "text": text,
                     "aspectTerms": aspectTerms,
                     "aspectCategories": aspectCategories,
-                    "domain": self.config.name,
+                    # "domain": self.config.name,
                 }
             elif self.config.name == 'laptops':
                 yield id_, {
                     "sentenceId": sentenceId,
                     "text": text,
                     "aspectTerms": aspectTerms,
-                    "domain": self.config.name,
+                    # "domain": self.config.name,
                 }