LiteraryTaste: A Preference Dataset for Creative Writing Personalization

arXiv — cs.CL•Thursday, November 13, 2025 at 5:00:00 AM

On November 13, 2025, the LiteraryTaste dataset was launched, providing insights into the diverse creative writing preferences of 60 individuals. This dataset is pivotal for developing personalized creative writing technologies using large language models (LLMs). The findings indicate that people's preferences significantly diverge, with the dataset allowing for a finetuning of a transformer encoder that achieved 75.8% accuracy in modeling personal preferences and 67.7% for collective preferences. Notably, the study found that stated preferences had limited utility in predicting revealed preferences, highlighting the complexity of individual tastes. The introduction of an LLM-driven interpretability pipeline further enhances understanding of how these preferences vary, setting a foundation for future advancements in personalized creative writing.

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