Fudan-FUXI/LiFT-HRA-10K

LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment Summary This is the dataset proposed in our paper "LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment". LiFT-HRA is a high-quality Human Preference Annotation dataset that can be used to train video-text-to-text reward models. All videos in the LiFT-HRA dataset have resolutions of at least 512×512. Project: https://codegoat24.github.io/LiFT/ Code: https://github.com/CodeGoat24/LiFT… See the full description on the dataset page: https://huggingface.co/datasets/Fudan-FUXI/LiFT-HRA-10K.