This dataset accompanies the papers "Decoding Psychological Abuse: A Comparative Study of Natural Language Processing (NLP) Classifiers Using Reddit Data" and "The Use of Computational Text Mining Methods to Detect and Understand Domestic Abuse", conducted by the Gender and Tech Research Lab at UCL Computer Science. The studies apply NLP modeling techniques to classify different forms of psychological abuse in Reddit posts.The text data consists of posts from 2021, collected from three publicly available subreddits (r/abusiverelationships, r/domesticviolence, and r/emotionalabuse), using the Pushshift Reddit API. Each post has been labeled by four expert annotators across six non-mutually exclusive categories of psychological abuse. The dataset includes four separate files containing the individual annotations from each expert. In addition, an aggregate dataset is provided that combines the annotations using two labeling strategies: (1) OR labels, where a label is assigned if at least one annotator selected the category, and (2) AND labels, where a label is assigned if at least two annotators selected the category. The data is anonymised and excludes duplicate, empty, and deleted posts.