We introduce the Illinois Intentional Tort Qualitative Dataset, a set of Illinois Common Law cases in Assault, Battery, Trespass, and Self-Defense, machine-translated into qualitative predicate representations. We discuss the cases involved, the natural language understanding system used to translate the cases into predicate logic, and validation measures that serve as performance baselines for future AI research using the dataset.