Update labels.py

labels.py

@@ -47,8 +47,8 @@ _CITATION = """\
 }
 """
 
-_TRAIN_DOWNLOAD_URL = "https://github.com/edubrigham/data/blob/541db4cdbb566aa5909e3eb4904d64f9683e5d4a/yahoo_answers_csv/train.csv"
-_TEST_DOWNLOAD_URL = "https://github.com/edubrigham/data/blob/541db4cdbb566aa5909e3eb4904d64f9683e5d4a/yahoo_answers_csv/test.csv"
+_URL = "https://github.com/edubrigham/data/blob/541db4cdbb566aa5909e3eb4904d64f9683e5d4a"
+
 
 _TOPICS = [
     "Society & Culture",
@@ -63,8 +63,17 @@ _TOPICS = [
     "Politics & Government",
 ]
 
-class AGNews(datasets.GeneratorBasedBuilder):
-    """AG News topic classification dataset."""
+
+class YahooAnswersTopics(datasets.GeneratorBasedBuilder):
+    "Yahoo! Answers Topic Classification Dataset"
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="yahoo_answers_topics",
+            version=datasets.Version("1.0.0", ""),
+        ),
+    ]
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -83,11 +92,17 @@ class AGNews(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
-        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
+        data_dir = dl_manager.download_and_extract(_URL)
+
+        # Extracting (un-taring) the training data
+        data_dir = os.path.join(data_dir, "yahoo_answers_csv")
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train.csv")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test.csv")}
+            ),
         ]
 
     def _generate_examples(self, filepath):
@@ -96,7 +111,7 @@ class AGNews(datasets.GeneratorBasedBuilder):
             for i, row in enumerate(rows):
                 yield i, {
                     "id": i,
-                    "topic": int(row[1]) - 1,
+                    "topic": int(row[0]) - 1,
                     "question_title": row[1],
                     "question_content": row[2],
                     "best_answer": row[3],