Upload reddit_climate_comment.py

reddit_climate_comment.py

@@ -55,77 +55,56 @@ class NewDataset(GeneratorBasedBuilder):
         
     def _generate_examples(self, filepath):
         df = pd.read_csv(filepath)
-
-        # Group the DataFrame by post ID
-        grouped_df = df.groupby('PostID')
-
-        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 = []
-
-            # Extract comment data
-            for _, comment_row in group.iterrows():
-                comment_id = str(comment_row['CommentID'])
-
-                if pd.isna(comment_id):  # Skip if CommentID is NaN
-                    continue
-
-                comment = {
-                    "CommentID": comment_id,
-                    "CommentAuthor": comment_row['CommentAuthor'],
-                    "CommentBody": comment_row['CommentBody'],
-                    "CommentTimestamp": comment_row['CommentTimestamp'],
-                    "CommentUpvotes": comment_row['CommentUpvotes'],
-                    "CommentPermalink": comment_row['CommentPermalink'],
-                    "replies": []  # Initialize empty list for replies
+        # Replace pd.NA with None for all columns
+        for column in df.columns:
+            df[column] = df[column].replace({pd.NA: None})
+
+        posts = {}
+        for id_, row in df.iterrows():
+            post_id = row["PostID"]
+            if post_id not in posts:
+                post_data = {
+                    "id": post_id,
+                    "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": int(row["PostUpvotes"]),
+                    "post_permalink": row["PostPermalink"],
+                    "comments": []
                 }
-
-                # Check if there are replies for the current comment
-                replies_data = df[df['CommentID'] == comment_id][['ReplyID', 'ReplyAuthor', 'ReplyBody', 'ReplyTimestamp', 'ReplyUpvotes', 'ReplyPermalink']]
-                for _, reply_data in replies_data.iterrows():
-                    reply = {
-                        "ReplyID": str(reply_data['ReplyID']),
-                        "ReplyAuthor": reply_data['ReplyAuthor'],
-                        "ReplyBody": reply_data['ReplyBody'],
-                        "ReplyTimestamp": reply_data['ReplyTimestamp'],
-                        "ReplyUpvotes": reply_data['ReplyUpvotes'],
-                        "ReplyPermalink": reply_data['ReplyPermalink']
-                    }
-                    comment["replies"].append(reply)
-
-                comments.append(comment)
-
-            yield post_id, {
-                "id": post_id,
-                "post_title": post_title,
-                "post_author": post_author,
-                "post_body": post_body,
-                "post_url": post_url,
-                "post_pic": post_pic,
-                "subreddit": subreddit,
-                "post_timestamp": post_timestamp,
-                "post_upvotes": post_upvotes,
-                "post_permalink": post_permalink,
-                "comments": comments
+                posts[post_id] = post_data
+
+            comment_data = {
+                "CommentID": row["CommentID"],
+                "CommentAuthor": row["CommentAuthor"],
+                "CommentBody": row["CommentBody"],
+                "CommentTimestamp": row["CommentTimestamp"],
+                "CommentUpvotes": int(row["CommentUpvotes"]),
+                "CommentPermalink": row["CommentPermalink"],
+                "replies": []
             }
-
-
-
-
-
-
-
-
-    
-
+            posts[post_id]["comments"].append(comment_data)
+
+            reply_id = row["ReplyID"]
+            if reply_id:
+                # Construct reply data dictionary
+                reply_data = {
+                    "ReplyID": reply_id,
+                    "ReplyAuthor": row["ReplyAuthor"],
+                    "ReplyBody": row["ReplyBody"],
+                    "ReplyTimestamp": row["ReplyTimestamp"],
+                    "ReplyUpvotes": int(row["ReplyUpvotes"]),
+                    "ReplyPermalink": row["ReplyPermalink"]
+                }
+                # Append reply data to replies list of corresponding comment
+                for comment in posts[post_id]["comments"]:
+                    if comment["CommentID"] == row["CommentID"]:
+                        comment["replies"].append(reply_data)
+                        break
+
+        for key, post_data in posts.items():
+            yield key, post_data