metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
- name: content
dtype: string
- name: metadata
struct:
- name: author
dtype: string
- name: controversiality
dtype: int64
- name: created_utc
dtype: int64
- name: downvotes
dtype: int64
- name: flair
dtype: string
- name: is_submitter
dtype: bool
- name: no_follow
dtype: bool
- name: removed_by_category
dtype: string
- name: score
dtype: int64
- name: suggested_sort
dtype: string
- name: title
dtype: string
- name: total_awards_received
dtype: int64
- name: upvote_ratio
dtype: float64
- name: upvotes
dtype: int64
- name: role
dtype: string
- name: metadata
struct:
- name: controversiality
dtype: int64
- name: normalized_controversiality
dtype: float64
- name: post
struct:
- name: author
dtype: string
- name: created_utc
dtype: int64
- name: downvotes
dtype: int64
- name: flair
dtype: string
- name: no_follow
dtype: bool
- name: removed_by_category
dtype: string
- name: score
dtype: int64
- name: suggested_sort
dtype: string
- name: title
dtype: string
- name: total_awards_received
dtype: int64
- name: upvote_ratio
dtype: float64
- name: upvotes
dtype: int64
- name: subreddit
struct:
- name: name
dtype: string
- name: subscribers
dtype: int64
splits:
- name: train
num_bytes: 306220492
num_examples: 173713
download_size: 157899301
dataset_size: 306220492
About
This dataset contains threads from 23 political subreddits from July 2024 - November 2024 (about a week after the US election).
Use this dataset as a baseline for subsets pertaining to Reddit's opinion on the 2024 election. We recommend using each thread's metadata as guidance. E.g.,
- r/politics subset
- controversial comments subset
- highly upvoted posts subset
- leftist/liberal threads subset
etc.
Subreddits
These are the subreddits scraped. Each conversation's subreddit can be found in metadata.subreddit.name
['destiny' 'hasan_piker' 'politics' 'vaushv' 'millenials' 'news' 'worldnews' 'economics' 'socialism' 'conservative' 'libertarian' 'neoliberal' 'republican' 'democrats' 'progressive' 'daverubin' 'jordanpeterson' 'samharris' 'joerogan' 'thedavidpakmanshow' 'benshapiro' 'themajorityreport' 'seculartalk']