reddit_climate_comment.py

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.csv.zip"

class NewDataset(GeneratorBasedBuilder):
    def _info(self):
        return DatasetInfo(
            description=_DESCRIPTION,
            features=Features({
         "id": Value("string"),
         "post_title": Value("string"),
         "post_author": Value("string"),
         "post_body": Value("string"),
         "post_url": Value("string"),
         "post_pic": Value("string"),
         "subreddit": Value("string"),
         "post_timestamp": Value("string"),
         "post_upvotes": Value("int32"),
         "post_permalink": 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.csv"})
        return [train_splits]
        
    def _generate_examples(self, filepath):
        df = pd.read_csv(filepath)

        # Drop duplicate comments
        df = df.drop_duplicates(subset=['CommentID', 'CommentBody'])

        # Group the DataFrame by post ID
        grouped_df = df.groupby('PostID')

        for post_id, group in grouped_df:
            post_data = group.iloc[0]  # Get the data for the post

            post_title = post_data['PostTitle']
            post_author = post_data['PostAuthor']
            post_body = post_data['PostBody']
            post_url = post_data['PostUrl']
            post_pic = post_data['PostPic']
            subreddit = post_data['Subreddit']
            post_timestamp = post_data['PostTimestamp']
            post_upvotes = post_data['PostUpvotes']
            post_permalink = post_data['PostPermalink']

            comments = []

            # Extract unique comments
            unique_comment_ids = group['CommentID'].unique()
            for comment_id in unique_comment_ids:
                comment_row = group[group['CommentID'] == comment_id].iloc[0]

                comment = {
                    "CommentID": comment_id,
                    "CommentAuthor": comment_row['CommentAuthor'],
                    "CommentBody": comment_row['CommentBody'],
                    "CommentTimestamp": comment_row['CommentTimestamp'],
                    "CommentUpvotes": comment_row['CommentUpvotes'],
                    "CommentPermalink": comment_row['CommentPermalink'],
                    "replies": []  # Initialize empty list for replies
                }

                # Check if there are replies for the current comment
                replies_data = df[df['CommentID'] == comment_id][['ReplyID', 'ReplyAuthor', 'ReplyBody', 'ReplyTimestamp', 'ReplyUpvotes', 'ReplyPermalink']]
                for _, reply_data in replies_data.iterrows():
                    reply = {
                        "ReplyID": str(reply_data['ReplyID']),
                        "ReplyAuthor": reply_data['ReplyAuthor'],
                        "ReplyBody": reply_data['ReplyBody'],
                        "ReplyTimestamp": reply_data['ReplyTimestamp'],
                        "ReplyUpvotes": reply_data['ReplyUpvotes'],
                        "ReplyPermalink": reply_data['ReplyPermalink']
                    }
                    comment["replies"].append(reply)

                comments.append(comment)

            yield post_id, {
                "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": comments
            }