Datasets:
Upload reddit_climate_comment.py
Browse files- reddit_climate_comment.py +14 -1
reddit_climate_comment.py
CHANGED
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@@ -55,6 +55,8 @@ class NewDataset(GeneratorBasedBuilder):
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def _generate_examples(self, filepath):
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df = pd.read_csv(filepath)
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grouped_df = df.groupby('PostID')
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for post_id, group in grouped_df:
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@@ -71,9 +73,19 @@ class NewDataset(GeneratorBasedBuilder):
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post_permalink = post_data['PostPermalink']
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comments = []
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for index, comment_row in group.iterrows():
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comment = {
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"CommentID":
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"CommentAuthor": comment_row['CommentAuthor'],
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"CommentBody": comment_row['CommentBody'],
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"CommentTimestamp": comment_row['CommentTimestamp'],
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@@ -110,5 +122,6 @@ class NewDataset(GeneratorBasedBuilder):
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"post_permalink": post_permalink,
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"comments": comments
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}
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def _generate_examples(self, filepath):
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df = pd.read_csv(filepath)
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# Group the DataFrame by post ID
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grouped_df = df.groupby('PostID')
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for post_id, group in grouped_df:
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post_permalink = post_data['PostPermalink']
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comments = []
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seen_comment_ids = set() # Set to keep track of seen comment IDs
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for index, comment_row in group.iterrows():
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comment_id = str(comment_row['CommentID'])
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# Check if comment ID has been seen before
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if comment_id in seen_comment_ids:
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continue # Skip duplicate comments
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else:
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seen_comment_ids.add(comment_id)
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comment = {
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"CommentID": comment_id,
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"CommentAuthor": comment_row['CommentAuthor'],
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"CommentBody": comment_row['CommentBody'],
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"CommentTimestamp": comment_row['CommentTimestamp'],
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"post_permalink": post_permalink,
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"comments": comments
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}
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