Update wiki_toxic.py

wiki_toxic.py

@@ -52,14 +52,6 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
 
     def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
         features = datasets.Features(
             {
                 "id": datasets.Value("string"),
@@ -67,11 +59,18 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
                 "label": datasets.ClassLabel(names=["non", "tox"])
             }
         )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+            features=features
+        )
 
+    def _split_generators(self, dl_manager):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                features=features,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": "train.csv",
@@ -80,7 +79,6 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                features=features,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": "validation.csv",
@@ -89,7 +87,6 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                features=features,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": "test.csv",
@@ -98,7 +95,6 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name="balanced_train",
-                features=features,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": "balanced_train.csv",