Datasets:
Upload reddit_climate_comment.py
Browse files- reddit_climate_comment.py +120 -0
reddit_climate_comment.py
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import csv
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import json
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import os
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from datasets import GeneratorBasedBuilder, Features, Value, Sequence, SplitGenerator, BuilderConfig, DatasetInfo, Split
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import logging
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import pandas as pd
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from typing import Dict
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CITATION = ""
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_DESCRIPTION = "Demo"
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_URL = ""
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_HOMEPAGE = ""
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_LICENSE = ""
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_URL = "https://github.com/catherine-ywang/reddit_climate_comment_data/raw/main/climate_comments.json.zip"
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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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"id": Value("string"),
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"post_title": Value("string"),
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"post_author": Value("string"),
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"post_body": Value("string"),
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"post_url": Value("string"),
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"post_pic": Value("string"),
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"subreddit": Value("string"),
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"post_timestamp": Value("string"),
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"post_upvotes": Value("int32"),
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"post_permalink": 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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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, filepath):
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with open(filepath, "r", 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'] if post['PostBody'] != "" else None
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post_url = post['PostUrl']
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post_pic = post['PostPic'] if post['PostPic'] != "" else None
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subreddit = post['Subreddit']
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post_timestamp = post['PostTimestamp']
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post_upvotes = int(post['PostUpvotes']) if post['PostUpvotes'] else None
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post_permalink = post['PostPermalink']
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comments = []
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for comment in post['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'] if comment['CommentBody'] != "" else None
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comment_timestamp = comment['CommentTimestamp']
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comment_upvotes = int(comment['CommentUpvotes']) if comment['CommentUpvotes'] else None
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comment_permalink = comment['CommentPermalink']
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replies = []
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for reply in comment.get('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'] if reply['ReplyBody'] != "" else None
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reply_timestamp = reply['ReplyTimestamp']
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reply_upvotes = int(reply['ReplyUpvotes']) if reply['ReplyUpvotes'] else None
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reply_permalink = reply['ReplyPermalink']
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replies.append({
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"ReplyID": reply_id,
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"ReplyAuthor": reply_author,
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"ReplyBody": reply_body,
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"ReplyTimestamp": reply_timestamp,
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"ReplyUpvotes": reply_upvotes,
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"ReplyPermalink": reply_permalink
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})
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comments.append({
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"CommentID": comment_id,
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"CommentAuthor": comment_author,
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"CommentBody": comment_body,
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"CommentTimestamp": comment_timestamp,
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"CommentUpvotes": comment_upvotes,
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"CommentPermalink": comment_permalink,
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"Replies": replies
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})
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yield post_id, {
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"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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"comments": comments
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}
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