import csv import json import os from datasets import GeneratorBasedBuilder, Features, Value, Sequence, SplitGenerator, BuilderConfig, DatasetInfo, Split import logging import pandas as pd from typing import Dict CITATION = "" _DESCRIPTION = "Demo" _URL = "" _HOMEPAGE = "" _LICENSE = "" _URL = "https://github.com/catherine-ywang/reddit_climate_comment_data/raw/main/climate_comments.json.zip" class NewDataset(GeneratorBasedBuilder): def _info(self): return DatasetInfo( description=_DESCRIPTION, features = Features({ "Posts": Sequence({ "PostID": Value("string"), "PostTitle": Value("string"), "PostAuthor": Value("string"), "PostBody": Value("string"), "PostUrl": Value("string"), "PostPic": Value("string"), "Subreddit": Value("string"), "PostTimestamp": Value("string"), "PostUpvotes": Value("int32"), "PostPermalink": Value("string"), "Comments": Sequence({ "CommentID": Value("string"), "CommentAuthor": Value("string"), "CommentBody": Value("string"), "CommentTimestamp": Value("string"), "CommentUpvotes": Value("int32"), "CommentPermalink": Value("string"), "Replies": Sequence({ "ReplyID": Value("string"), "ReplyAuthor": Value("string"), "ReplyBody": Value("string"), "ReplyTimestamp": Value("string"), "ReplyUpvotes": Value("int32"), "ReplyPermalink": Value("string"), }) }) }) }), homepage=_HOMEPAGE, ) def _split_generators(self, dl_manager): path = dl_manager.download_and_extract(_URL) train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/climate_comments.json"}) return [train_splits] def _generate_examples(self, filepath): with open(filepath, encoding="utf-8") as f: data = json.load(f) for post in data["Posts"]: post_id = post["PostID"] post_title = post["PostTitle"] post_author = post["PostAuthor"] post_body = post["PostBody"] post_url = post["PostUrl"] post_pic = post["PostPic"] subreddit = post["Subreddit"] post_timestamp = post["PostTimestamp"] post_upvotes = int(post["PostUpvotes"]) post_permalink = post["PostPermalink"] comments = post["Comments"] post_data = { "id": post_id, "post_title": post_title, "post_author": post_author, "post_body": post_body, "post_url": post_url, "post_pic": post_pic, "subreddit": subreddit, "post_timestamp": post_timestamp, "post_upvotes": post_upvotes, "post_permalink": post_permalink, "comments": [] } for comment in comments: comment_id = comment["CommentID"] comment_author = comment["CommentAuthor"] comment_body = comment["CommentBody"] comment_timestamp = comment["CommentTimestamp"] comment_upvotes = int(comment["CommentUpvotes"]) comment_permalink = comment["CommentPermalink"] comment_data = { "CommentID": comment_id, "CommentAuthor": comment_author, "CommentBody": comment_body, "CommentTimestamp": comment_timestamp, "CommentUpvotes": comment_upvotes, "CommentPermalink": comment_permalink, "Replies": [] } replies = comment.get("Replies", []) for reply in replies: reply_id = reply["ReplyID"] reply_author = reply["ReplyAuthor"] reply_body = reply["ReplyBody"] reply_timestamp = reply["ReplyTimestamp"] reply_upvotes = int(reply["ReplyUpvotes"]) reply_permalink = reply["ReplyPermalink"] reply_data = { "ReplyID": reply_id, "ReplyAuthor": reply_author, "ReplyBody": reply_body, "ReplyTimestamp": reply_timestamp, "ReplyUpvotes": reply_upvotes, "ReplyPermalink": reply_permalink } comment_data["Replies"].append(reply_data) post_data["comments"].append(comment_data) yield post_id, post_data