The dataset addresses discriminations across sexuality, ethnicity, and gender. Posts are sampled slur-based ("f*ggot","n*gger","tr*nny") from several subreddits from October...

Dataset of hateful Wikipedia comments. The sampling of the data was a combination of random + oversampled on banned comments. Annotation was crowdsourced, and each comment was...

Dataset of tweets collected from 30th March 2017 to 9th April 2017 with a boosted random sampling technique, by using text analysis and preliminary crowdsourcing rounds to...

The repo contains a list of words that Shutterstpck uses to filter results from our autocomplete server and recommendation engine. Can be installed in a npm project by: npm...

YouTube Blacklist Words List includes; a list of unacceptable words, inappropriate words, a list of swear words, offensive words, curse words, insulting words, all cuss words,...

WordPress Comment Blacklist Words, WordPress Comment Moderation, and WordPress Comment Spam The WordPress Comment Blacklist Words/Phrases include; a list of swears, unacceptable...

Dataset of hateful tweets sampled from Twitter using keywords. Labelled by Crowdflower, 3+ people annotated each tweet. Majority decision was taken with 92% annotator agreement.

This dataset expands the OLID/OffensEval (OLID (Zampieri et al., 2019a), Offensive Language Identification Dataset) by adding the explicitness of the message. The OLID data was...

Dataset of self-reported microaggressions from microaggressions.com. 2,934 posts were collected targeted towards gender (1,314 posts), race (1,278 posts), sexuality (461 posts),...

Dataset collected from the World of Warcraft (dataset 1) and League of Legends (dataset 2) forum. 20 topics were selected for each dataset based on offensive terms from...

Dataset of sexist tweets sampling based on benevolent sexist key phrases from which 712 tweets were manually selected by the authors, and validated by three non-activist...

Dataset of racist and sexist tweets sampled from Twitter and labelled first by experts (including feminist and anti-racist activists), and then by CF amateur annotators who...

Dataset of 1528 annotated comments from Fox News website, taken from 10 news articles. Comments were labelled by experts in two stages, with an annotator agreement of Cohen's...

Dataset of pairs islamophobic hate speech and counter-responses with 3 types of metadata: expert demographics, hate speech sub-topic, counter-narrative type. The dataset is...

Dataset of hateful/ not hateful posts in the context of conversations from Reddit and Gab. The data is annotated through crowd-sourcing with Amazon Mechanical Turk with...

Dataset of racist and sexist tweets sampled from Twitter and labelled by a mix of expert annotators and activists. Tweets were sampled in 2016 over 2 months using keywords....

Hate Speech Dataset for Hindi, German and English. Three datasets sampled from Twitter and Facebook sampled by topics, hashtags, other keywords and the timeline of users (last...

Hate speech dataset composed of thousands of sentences extracted from Stormfront, a white supremacist forum, manually labelled by experts. Annotator agreement for the 1st round...

Dataset of multi-aspect hate speech posts sampled from Twitter and labelled through crowd-sourcing (Amazon Mechanical Turk). Tweets were sampled by common slurs and demeaning...

Dataset of hate speech and targets from Twitter collected through a multi-step classification process and annotated through CrowdFlower. 92.8% agreement among the annotators for...

10 annotators initially annotated 20,000 entries from the Everyday Sexism Project. At least two annotators labelled every entry. Average Cohen's kappa for the per-category pairs...