Omkar2118/datasets huggingface dataset:
Reddit Ideological and Extreme Bias Dataset

Articles originating from subreddits with explicitly stated ideologies are categorized into three groups: 72,488 articles in the Liberal class, 79,573 articles in the Conservative class, and 225,083 articles in the Restricted class. 

Conversely, articles from subreddits lacking a clearly defined ideology, including those with implicit or explicit ideologies, are merged to form a holdout dataset comprising 922,522 articles.

Part 1
https://data.mendeley.com/datasets/2tdr9sjd83/3
Part 2
https://data.mendeley.com/datasets/dxpp5983yb/1
Part 3
https://data.mendeley.com/datasets/f7knr8r94w/1

Introducing paper: Comprehensive dataset of user-submitted articles with ideological and extreme bias from Reddit
ICIAR 2018 Grand Challenge on Breast Cancer Histology Images

The dataset is composed of Hematoxylin and eosin (H&E) stained breast histology microscopy and whole-slide images. Challenge participants should evaluate the performance of their method on either/both sets of images.
ThreatGram 101 - Extreme Telegram Data
Full name: ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels

Data 1: Raw and Unlabeled; 2 million unlabeled replies from 17 Telegram channels.
Data 2: Raw and Labeled; 15,076 replies from 17 Telegram channels categorized as no threat, judicial threat, and non-judicial threat.

Introducing paper: ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels