Upload reddit_climate_comment.py

reddit_climate_comment.py

@@ -75,47 +75,34 @@ class NewDataset(GeneratorBasedBuilder):
             comments = []
 
             # Extract comment data
-            comment_ids = group['CommentID'].tolist()
-            comment_authors = group['CommentAuthor'].tolist()
-            comment_bodies = group['CommentBody'].tolist()
-            comment_timestamps = group['CommentTimestamp'].tolist()
-            comment_upvotes = group['CommentUpvotes'].tolist()
-            comment_permalinks = group['CommentPermalink'].tolist()
-            replies = group['replies'].tolist()  # Assuming 'replies' column is a list
-
-            for i in range(len(comment_ids)):
-                comment_id = str(comment_ids[i])
+            for index, 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_authors[i],
-                    "CommentBody": comment_bodies[i],
-                    "CommentTimestamp": comment_timestamps[i],
-                    "CommentUpvotes": comment_upvotes[i],
-                    "CommentPermalink": comment_permalinks[i],
+                    "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
                 }
 
-                # Check if 'replies' column exists and is not NaN
-                if replies[i] is not None and not pd.isna(replies[i]):
-                    # Filter out NaNs from reply IDs
-                    reply_ids = [str(reply_id) for reply_id in replies[i] if not pd.isna(reply_id)]
-
-                    # Add replies for the current comment
-                    for reply_id in reply_ids:
-                        reply_data = group[group['ReplyID'] == reply_id].iloc[0]
-                        reply = {
-                            "ReplyID": reply_id,
-                            "ReplyAuthor": reply_data['ReplyAuthor'],
-                            "ReplyBody": reply_data['ReplyBody'],
-                            "ReplyTimestamp": reply_data['ReplyTimestamp'],
-                            "ReplyUpvotes": reply_data['ReplyUpvotes'],
-                            "ReplyPermalink": reply_data['ReplyPermalink']
-                        }
-                        comment["replies"].append(reply)
+                # Check if there are replies for the current comment
+                replies_data = group[group['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)
 
@@ -137,5 +124,6 @@ class NewDataset(GeneratorBasedBuilder):
 
 
 
+