| | import csv |
| | import json |
| | import os |
| | from datasets import GeneratorBasedBuilder, Features, Value, Sequence, SplitGenerator, BuilderConfig, DatasetInfo, Split, Image |
| | import logging |
| | import pandas as pd |
| | from typing import Dict |
| |
|
| | CITATION = "" |
| | _DESCRIPTION = "" |
| | _HOMEPAGE = "https://huggingface.co/datasets/SarcasmNet/self-annotated_reddit_climate_comment" |
| | _LICENSE = "MIT" |
| |
|
| | _URL = "https://github.com/catherine-ywang/Reddit-Climate-Environment-Sarcasm-Self-Annotated-Data/raw/main/self_annotated_comments.csv" |
| |
|
| | 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": Image(), |
| | "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"), |
| | "Label": Value("int32") |
| | }) |
| | }), |
| | homepage=_HOMEPAGE, |
| | ) |
| | def _split_generators(self, dl_manager): |
| | return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": dl_manager.download(_URL)})] |
| | |
| | def _generate_examples(self, filepath): |
| | df = pd.read_csv(filepath) |
| | for column in df.columns: |
| | df[column] = df[column].replace({pd.NA: None}) |
| | |
| | grouped_df = df.groupby('PostID') |
| |
|
| | for post_id, group in grouped_df: |
| | post_data = group.iloc[0] |
| |
|
| | 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 = [] |
| |
|
| | |
| | for comment_id in group['CommentID'].unique(): |
| | comment_data = group[group['CommentID'] == comment_id].iloc[0] |
| |
|
| | comment_author = comment_data['CommentAuthor'] |
| | comment_body = comment_data['CommentBody'] |
| | comment_timestamp = comment_data['CommentTimestamp'] |
| | comment_upvotes = comment_data['CommentUpvotes'] |
| | comment_permalink = comment_data['CommentPermalink'] |
| | comment_label = comment_data['Label'] |
| |
|
| | |
| | comment = { |
| | "CommentID": comment_id, |
| | "CommentAuthor": comment_author, |
| | "CommentBody": comment_body, |
| | "CommentTimestamp": comment_timestamp, |
| | "CommentUpvotes": comment_upvotes, |
| | "CommentPermalink": comment_permalink, |
| | "Label": comment_label |
| | } |
| | comments.append(comment) |
| | |
| | example = { |
| | "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 |
| | } |
| |
|
| | yield post_id, example |
| |
|
| | |
| | |
| | |