Datasets:
Upload reddit_climate_comment.py
Browse files- reddit_climate_comment.py +87 -56
reddit_climate_comment.py
CHANGED
@@ -18,67 +18,98 @@ class NewDataset(GeneratorBasedBuilder):
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def _info(self):
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return DatasetInfo(
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description=_DESCRIPTION,
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features=Features({
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager):
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path = dl_manager.download_and_extract(_URL)
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train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/climate_comments.json"})
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return [train_splits]
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def _generate_examples(self,
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with open(
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data = json.load(f)
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def _info(self):
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return DatasetInfo(
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description=_DESCRIPTION,
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features = Features({
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"Posts": Sequence({
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"PostID": Value("string"),
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"PostTitle": Value("string"),
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"PostAuthor": Value("string"),
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"PostBody": Value("string"),
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"PostUrl": Value("string"),
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"PostPic": Value("string"),
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"Subreddit": Value("string"),
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"PostTimestamp": Value("string"),
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"PostUpvotes": Value("int32"),
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"PostPermalink": Value("string"),
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"Comments": Sequence({
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"CommentID": Value("string"),
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"CommentAuthor": Value("string"),
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"CommentBody": Value("string"),
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"CommentTimestamp": Value("string"),
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"CommentUpvotes": Value("int32"),
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"CommentPermalink": Value("string"),
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"Replies": Sequence({
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"ReplyID": Value("string"),
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"ReplyAuthor": Value("string"),
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"ReplyBody": Value("string"),
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"ReplyTimestamp": Value("string"),
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"ReplyUpvotes": Value("int32"),
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"ReplyPermalink": Value("string"),
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})
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})
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})
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}),
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager):
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path = dl_manager.download_and_extract(_URL)
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train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/climate_comments.json"})
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return [train_splits]
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def _generate_examples(self, path):
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with open(path, encoding="utf-8") as f:
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data = json.load(f)
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for post in data["Posts"]:
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post_id = post["PostID"]
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post_title = post["PostTitle"]
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post_author = post["PostAuthor"]
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post_body = post["PostBody"]
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post_url = post["PostUrl"]
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post_pic = post["PostPic"]
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subreddit = post["Subreddit"]
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post_timestamp = post["PostTimestamp"]
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post_upvotes = int(post["PostUpvotes"])
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post_permalink = post["PostPermalink"]
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comments = post["Comments"]
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for comment in comments:
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comment_id = comment["CommentID"]
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comment_author = comment["CommentAuthor"]
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comment_body = comment["CommentBody"]
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comment_timestamp = comment["CommentTimestamp"]
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comment_upvotes = int(comment["CommentUpvotes"])
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comment_permalink = comment["CommentPermalink"]
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replies = comment.get("Replies", [])
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for reply in replies:
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reply_id = reply["ReplyID"]
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reply_author = reply["ReplyAuthor"]
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reply_body = reply["ReplyBody"]
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reply_timestamp = reply["ReplyTimestamp"]
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reply_upvotes = int(reply["ReplyUpvotes"])
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reply_permalink = reply["ReplyPermalink"]
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yield f"{post_id}_{comment_id}_{reply_id}", {
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"post_id": post_id,
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"post_title": post_title,
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"post_author": post_author,
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"post_body": post_body,
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"post_url": post_url,
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"post_pic": post_pic,
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"subreddit": subreddit,
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"post_timestamp": post_timestamp,
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"post_upvotes": post_upvotes,
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"post_permalink": post_permalink,
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"comment_id": comment_id,
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"comment_author": comment_author,
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"comment_body": comment_body,
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"comment_timestamp": comment_timestamp,
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"comment_upvotes": comment_upvotes,
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"comment_permalink": comment_permalink,
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"reply_id": reply_id,
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"reply_author": reply_author,
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"reply_body": reply_body,
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"reply_timestamp": reply_timestamp,
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"reply_upvotes": reply_upvotes,
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"reply_permalink": reply_permalink,
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}
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