meituan-longcat/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… See the full description on the dataset page: https://huggingface.co/datasets/meituan-longcat/Q-Eval-100K.
| Author / organization | meituan-longcat |
|---|---|
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 11 |
| Created | 26 May 2025 |
| Last updated at source | 27 May 2025 |
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- 17 Oct 2026 Description: 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 i → 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 i
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