namkoong-lab/

PersonalLLM

The PersonalLLM dataset is a collection of prompts, responses, and rewards designed for personalized language model methodology development and evaluation. This dataset is presented in the paper PersonalLLM: Tailoring LLMs to Individual Preferences.

	Dataset Details




	
	Dataset Description

Curated by: Andrew Siah*, Tom Zollo*, Naimeng Ye, Ang Li, Namkoong Hongseok Funded by: Digital Future Initiative at Columbia Business School… See the full description on the dataset page: https://huggingface.co/datasets/namkoong-lab/PersonalLLM.