ZeMKI member Kerstin Radde-Antweiler was involved in creating a dataset in which LLMs were tasked with answering a religious question from the perspective of one of twelve theological personas (six Christian and six Muslim).
The dataset consists of 960 outputs collected in 2025 from various large language models (LLMs). The LLMs were given a religious question to answer as one of 12 theological personas (6 Christian and 6 Muslim). Four (4) different models were queried: Claude Sonnet 4, Gemini 2.5 Flash, GPT4o, and GPT5. Two (2) different channels were used for prompting and collecting outputs: API and web user-interface. Ten (10) outputs were collected for each combination of the preceding parameters. The data is available as a xlsx file. The prompt and personas are available as a PDF.
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