Upload reddit_climate_comment.py

reddit_climate_comment.py

@@ -74,26 +74,35 @@ class NewDataset(GeneratorBasedBuilder):
 
             comments = []
 
-            for index, comment_row in group.iterrows():
-                comment_id = str(comment_row['CommentID'])
+            # 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])
 
                 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'],
+                    "CommentAuthor": comment_authors[i],
+                    "CommentBody": comment_bodies[i],
+                    "CommentTimestamp": comment_timestamps[i],
+                    "CommentUpvotes": comment_upvotes[i],
+                    "CommentPermalink": comment_permalinks[i],
                     "replies": []  # Initialize empty list for replies
                 }
 
                 # Check if 'replies' column exists and is not NaN
-                if 'replies' in comment_row.index and not pd.isna(comment_row['replies']):
+                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 comment_row['replies'] if not pd.isna(reply_id)]
+                    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:
@@ -127,5 +136,6 @@ class NewDataset(GeneratorBasedBuilder):
 
 
 
+