Update SemEval2016Task5NLTK.py

SemEval2016Task5NLTK.py

@@ -101,11 +101,11 @@ class SemEval2016Task5NLTK(datasets.GeneratorBasedBuilder):
                     'target': datasets.Value(dtype='string'),
                     'to': datasets.Value(dtype='string')}
                 ],
-                'tokens': [datasets.Value(dtype='string')],
-                'ATESP_BIEOS_tags': [datasets.Value(dtype='string')],
-                'ATESP_BIO_tags': [datasets.Value(dtype='string')],
-                'ATE_BIEOS_tags': [datasets.Value(dtype='string')],
-                'ATE_BIO_tags': [datasets.Value(dtype='string')],
+                'tokens': datasets.Sequence(datasets.Value(dtype='string')),
+                'ATESP_BIEOS_tags': datasets.Sequence(datasets.ClassLabel(num_classes=13, names=['B-NEG', 'B-NEU', 'B-POS', 'I-NEG', 'I-NEU', 'I-POS', 'E-NEG', 'E-NEU', 'E-POS', 'S-NEG', 'S-NEU', 'S-POS', 'O'])),
+                'ATESP_BIO_tags': datasets.Sequence(datasets.ClassLabel(num_classes=7, names=['B-NEG', 'B-NEU', 'B-POS', 'I-NEG', 'I-NEU', 'I-POS', 'O'])),
+                'ATE_BIEOS_tags': datasets.Sequence(datasets.ClassLabel(num_classes=5, names=['B', 'I', 'E', 'O', 'S'])),
+                'ATE_BIO_tags': datasets.Sequence(datasets.ClassLabel(num_classes=3, names=['B', 'I', 'O'])),
 
                 'domain': datasets.Value(dtype='string'),
                 'reviewId': datasets.Value(dtype='string'),
@@ -196,7 +196,6 @@ class SemEvalXMLDataset():
                 }
                 Opinions.append(opinionDict)
                 
-            Opinions.sort(key=lambda x: int(x["from"]))
             # 从小到大排序
             example = {
                     "text": text,