datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PACIFIC-big-five-trait-preferencesDataset For Paper "Can LLMs Discern the Traits Influencing Your Preferences? Evaluating Personality-Driven Preference Alignment in LLMs"
PACIFIC (Preference Alignment for Choices Inference via Five-factor Identity Characterization) is a psychometrics-grounded dataset for studying whether Large Language Models can use stable personality traits — rather than exhaustive preference logs — as a latent signal for inferring user preferences on unseen queries.
It contains 1,200 preference–query pairs… See the full description on the dataset page: https://huggingface.co/datasets/TylerZ0931/PACIFIC-big-five-trait-preferences.bigfivepersonalities