Upload reddit_climate_comment.py

reddit_climate_comment.py

@@ -55,56 +55,68 @@ class NewDataset(GeneratorBasedBuilder):
         
     def _generate_examples(self, filepath):
         df = pd.read_csv(filepath)
-        # 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": []
-                }
-                posts[post_id] = post_data
+        # Drop duplicate comments
+        df = df.drop_duplicates(subset=['CommentID', 'CommentBody'])
+
+        # 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']
 
-            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)
+            comments = []
 
-            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"]
+            # Extract unique comments
+            unique_comment_ids = group['CommentID'].unique()
+            for comment_id in unique_comment_ids:
+                comment_row = group[group['CommentID'] == comment_id].iloc[0]
+
+                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
                 }
-                # 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
+                # 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
+            }