Update reddit-topics-targz.py

reddit-topics-targz.py

@@ -1,7 +1,24 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 # Lint as: python3
-"""Reddit Topics Targz Demo Dataset"""
+"""SQUAD: The Stanford Question Answering Dataset."""
+
 
 import json
+
 import datasets
 from datasets.tasks import QuestionAnsweringExtractive
 
@@ -32,22 +49,17 @@ _URL = "https://github.com/jamescalam/hf-datasets/raw/main/01_builder_script/dat
 
 class RedditTopicsTargz(datasets.GeneratorBasedBuilder):
     """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
-
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
-                    "id": datasets.Value("string"),
+                    "sub": datasets.Value("string"),
                     "title": datasets.Value("string"),
-                    "context": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "answers": datasets.features.Sequence(
-                        {
-                            "text": datasets.Value("string"),
-                            "answer_start": datasets.Value("int32"),
-                        }
-                    ),
+                    "selftext": datasets.Value("string"),
+                    "upvote_ratio": datasets.Value("string"),
+                    "id": datasets.Value("string"),
+                    "created_utc": datasets.Value("string"),
                 }
             ),
             # No default supervised_keys (as we have to pass both question