kucklily/

Q-Eval-100K

	Q-Eval-100K Dataset （CVPR 2025 Oral）




	
	📝  Introduction

The Q-Eval-100K dataset encompasses both text-to-image and text-to-video models, with 960K human annotations specifically focused on visual quality and alignment for 100K instances (60K images and 40K videos). We utilize multiple popular text-to- image and text-to-video models to ensure diversity, which include FLUX, Lumina-T2X, PixArt, Stable Diffusion 3, Stable Diffusion XL, DALL·E 3, Wanx, Midjourney, Hunyuan-DiT… See the full description on the dataset page: https://huggingface.co/datasets/kucklily/Q-Eval-100K.