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 2007 to September 2019, where comments were collected for studying slurs-use also in a non-derogatory context.

The data was annotated by a diverse cohort of university members (based on field and year of study, age, sexuality, ethnicity, gender), with Shannon equitability indices of 0.90, 0.92, and 0.87 across sexuality, ethnicity, and gender. The annotators were trained over a 2-day-session and the final annotations done in groups of 2 created by a maximum diversity in profiles and re-shuffled after every 1k annotations. The Cohen's Kappa overall is 0.60 with an agreement of 78.6%. Disagreements between two annotators were solved by the authors.