Upload self-annotated_reddit_climate_comment.py

self-annotated_reddit_climate_comment.py

@@ -18,32 +18,30 @@ class NewDataset(GeneratorBasedBuilder):
         return DatasetInfo(
             description=_DESCRIPTION,
             features=Features({
-         "id": Value("string"),
-         "post_title": Value("string"),
-         "post_author": Value("string"),
-         "post_body": Value("string"),
-         "post_url": Value("string"),
-         "post_pic": Image(),
-         "subreddit": Value("string"),
-         "post_timestamp": Value("string"),
-         "post_upvotes": Value("int32"),
-         "post_permalink": Value("string"),
-         "comments": Sequence({
-             "CommentID": Value("string"),
-             "CommentAuthor": Value("string"),
-             "CommentBody": Value("string"),
-             "CommentTimestamp": Value("string"),
-             "CommentUpvotes": Value("int32"),
-             "CommentPermalink": Value("string"),
-             "CommentLink": Value("int32")
-         })
-     }),
+                "id": Value("string"),
+                "post_title": Value("string"),
+                "post_author": Value("string"),
+                "post_body": Value("string"),
+                "post_url": Value("string"),
+                "post_pic": Image(),
+                "subreddit": Value("string"),
+                "post_timestamp": Value("string"),
+                "post_upvotes": Value("int32"),
+                "post_permalink": Value("string"),
+                "comments": Sequence({
+                    "CommentID": Value("string"),
+                    "CommentAuthor": Value("string"),
+                    "CommentBody": Value("string"),
+                    "CommentTimestamp": Value("string"),
+                    "CommentUpvotes": Value("int32"),
+                    "CommentPermalink": Value("string"),
+                    "CommentLink": Value("int32")
+                })
+            }),
             homepage=_HOMEPAGE,
         )
     def _split_generators(self, dl_manager):
-        path = dl_manager.download_and_extract(_URL)
-        train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/self_annotated_comments.csv"})
-        return [train_splits]
+        return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": dl_manager.download(_URL)})]
         
     def _generate_examples(self, filepath):
         df = pd.read_csv(filepath)
@@ -105,6 +103,7 @@ class NewDataset(GeneratorBasedBuilder):
             }
 
             yield post_id, example
+