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import pandas as pd |
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import datasets |
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from datasets import Features, Value, ClassLabel, Image, DownloadManager |
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import logging |
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import requests |
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from PIL.Image import Image as PIL_Image |
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import io |
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_URLS = { |
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"my_data": "https://drive.google.com/uc?export=download&id=1t7qllYbonoCgNzzh7w9NhmnMZ4pmqERo", |
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} |
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class RedditPoliticalSubs(datasets.GeneratorBasedBuilder): |
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"""A Dataset builder for a DataFrame with Reddit data.""" |
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VERSION = datasets.Version('1.0.0') |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=("This dataset contains Reddit posts with various attributes."), |
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features=Features({ |
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"author": Value("string"), |
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"created_utc": Value("string"), |
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"domain": Value("string"), |
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"title": Value("string"), |
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"selftext": Value("string"), |
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"subreddit": Value("string"), |
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"score": Value("int32"), |
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"num_comments": Value("int32"), |
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"ups": Value("float32"), |
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"downs": Value("float32"), |
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"permalink": Value("string"), |
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"is_self": Value("bool"), |
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"url": Value("string"), |
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"subreddit_subscribers": Value("float32"), |
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"upvote_ratio": Value("float32"), |
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"is_original_content": Value("string"), |
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"media": Value("string"), |
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"selftext_html": Value("string"), |
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"author_flair_text": Value("string"), |
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"link_flair_text": Value("string"), |
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"image": Image(), |
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"image_text": Value("string"), |
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}), |
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supervised_keys=None, |
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homepage='https://www.reddit.com/', |
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citation="", |
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) |
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def _split_generators(self, dl_manager: DownloadManager): |
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downloaded_file = dl_manager.download_and_extract(_URLS["my_data"]) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"dataframe_path": downloaded_file}, |
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), |
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] |
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def _generate_examples(self, dataframe_path): |
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"""Yields examples.""" |
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df = pd.read_csv(dataframe_path) |
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for idx, row in df.iterrows(): |
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yield idx, { |
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"author": row["author"], |
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"created_utc": row["created_utc"], |
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"domain": row["domain"] if pd.notna(row["domain"]) else "", |
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"title": row["title"], |
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"selftext": row["selftext"] if pd.notna(row["selftext"]) else "", |
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"subreddit": row["subreddit"], |
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"score": row["score"], |
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"num_comments": row["num_comments"], |
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"ups": row["ups"] if pd.notna(row["ups"]) else 0, |
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"downs": row["downs"] if pd.notna(row["downs"]) else 0, |
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"permalink": row["permalink"], |
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"is_self": row["is_self"], |
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"url": row["url"] if pd.notna(row["url"]) else "", |
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"subreddit_subscribers": row["subreddit_subscribers"] if pd.notna(row["subreddit_subscribers"]) else 0.0, |
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"upvote_ratio": row["upvote_ratio"] if pd.notna(row["upvote_ratio"]) else 0.0, |
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"is_original_content": row["is_original_content"] if pd.notna(row["is_original_content"]) else False, |
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"media": row["media"] if pd.notna(row["media"]) else "", |
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"selftext_html": row["selftext_html"] if pd.notna(row["selftext_html"]) else "", |
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"author_flair_text": row["author_flair_text"] if pd.notna(row["author_flair_text"]) else "", |
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"link_flair_text": row["link_flair_text"] if pd.notna(row["link_flair_text"]) else "", |
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"image": row['url'] if pd.notna(row['url']) else "", |
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"image_text": row['image_text'] if pd.notna(row['image_text']) else "", |
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} |
