Sounds Queer Dataset

Sabine Weber (Universität Bamberg), Andrew McLeod

"Sounds Queer: Representation of LGBTQIA Identities in AI-generated Songs", in The 2026 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), Montreal, QC, Canada. 

DOI: https://doi.org/10.5281/zenodo.19696872

The Sounds Queer dataset contains AI-generated music based on prompts with queer terms. It contains prompts, music data and metadata (musical and linguistic metadata and tags). For a full description see the paper. 

The dataset is licensed under the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Authors: Sabine Weber (University of Bamberg), Andrew McLeod

Download Dataset: https://doi.org/10.5281/zenodo.19696872