The dataset consists of 1,260 texts generated by six large language models in response to ethically challenging prompts created by researchers. The researchers created 70 prompts covering 16 ethically sensitive topics; for each prompt, three versions were generated: a standard version, a role-playing version, and a version designed to encourage the circumvention of safety restrictions.

The prompts address ethical dilemmas, individual rights, the exercise of societal power, freedom of expression, police use of force, and the responsibilities of governments and AI systems. They also consider violations of the law or violent action as potentially justified means and, in some cases, request detailed instructions for dangerous activities. Several prompts concern cybersecurity, malware, fraud, document forgery, financial crime, and the circumvention of system safeguards. The prompts also include medical questions concerning medication, dosages, allergies, and the prevention of mental health problems, as well as the use of health and personal data to influence people's behaviour. Some address privacy, consent, confidentiality, research ethics, AI training data, and covert recording. In addition, the prompts include questions concerning hate speech, religion, child safety, and other age-restricted content. Overall, the prompts test how AI systems respond to ethically challenging, privacy-infringing, discriminatory, dangerous, or unlawful requests.