Upload reddit_climate_comment.py

reddit_climate_comment.py

@@ -55,44 +55,48 @@ class NewDataset(GeneratorBasedBuilder):
         
     def _generate_examples(self, filepath):
         df = pd.read_csv(filepath)
+        grouped_df = df.groupby('PostID')
 
-        for index, row in df.iterrows():
-            post_id = str(row['PostID'])
-            post_title = row['PostTitle']
-            post_author = row['PostAuthor']
-            post_body = row['PostBody']
-            post_url = row['PostUrl']
-            post_pic = row['PostPic']
-            subreddit = row['Subreddit']
-            post_timestamp = row['PostTimestamp']
-            post_upvotes = row['PostUpvotes']
-            post_permalink = row['PostPermalink']
+        for post_id, group in grouped_df:
+            post_data = group.iloc[0]  # Get the data for the post
+
+            post_title = post_data['PostTitle']
+            post_author = post_data['PostAuthor']
+            post_body = post_data['PostBody']
+            post_url = post_data['PostUrl']
+            post_pic = post_data['PostPic']
+            subreddit = post_data['Subreddit']
+            post_timestamp = post_data['PostTimestamp']
+            post_upvotes = post_data['PostUpvotes']
+            post_permalink = post_data['PostPermalink']
 
             comments = []
-            if not pd.isnull(row['CommentID']):
+            for index, comment_row in group.iterrows():
                 comment = {
-                    "CommentID": str(row['CommentID']),
-                    "CommentAuthor": row['CommentAuthor'],
-                    "CommentBody": row['CommentBody'],
-                    "CommentTimestamp": row['CommentTimestamp'],
-                    "CommentUpvotes": row['CommentUpvotes'],
-                    "CommentPermalink": row['CommentPermalink'],
+                    "CommentID": str(comment_row['CommentID']),
+                    "CommentAuthor": comment_row['CommentAuthor'],
+                    "CommentBody": comment_row['CommentBody'],
+                    "CommentTimestamp": comment_row['CommentTimestamp'],
+                    "CommentUpvotes": comment_row['CommentUpvotes'],
+                    "CommentPermalink": comment_row['CommentPermalink'],
                     "replies": []
                 }
-                comments.append(comment)
 
-                # If there are replies, add them to the comment
-                if not pd.isnull(row['ReplyID']):
+                # Add replies for the current comment
+                replies = group[group['CommentID'] == comment_row['CommentID']]
+                for _, reply_row in replies.iterrows():
                     reply = {
-                        "ReplyID": str(row['ReplyID']),
-                        "ReplyAuthor": row['ReplyAuthor'],
-                        "ReplyBody": row['ReplyBody'],
-                        "ReplyTimestamp": row['ReplyTimestamp'],
-                        "ReplyUpvotes": row['ReplyUpvotes'],
-                        "ReplyPermalink": row['ReplyPermalink']
+                        "ReplyID": str(reply_row['ReplyID']),
+                        "ReplyAuthor": reply_row['ReplyAuthor'],
+                        "ReplyBody": reply_row['ReplyBody'],
+                        "ReplyTimestamp": reply_row['ReplyTimestamp'],
+                        "ReplyUpvotes": reply_row['ReplyUpvotes'],
+                        "ReplyPermalink": reply_row['ReplyPermalink']
                     }
                     comment["replies"].append(reply)
 
+                comments.append(comment)
+
             yield post_id, {
                 "id": post_id,
                 "post_title": post_title,
@@ -106,4 +110,5 @@ class NewDataset(GeneratorBasedBuilder):
                 "post_permalink": post_permalink,
                 "comments": comments
             }
+