Rapidata/xAI_Aurora_t2i_human_preferences
收藏Hugging Face2025-02-03 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/Rapidata/xAI_Aurora_t2i_human_preferences
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资源简介：
这是一个包含超过40万人类评价的文本到图像评估数据集，用于评估Aurora模型与其他六个模型在偏好、连贯性和对齐性三个方面的表现。数据集通过Rapidata Python API在两天内收集，包含86,000个独立注释者的反馈。
This is a text-to-image evaluation dataset containing over 400,000 human evaluations, assessing the performance of the Aurora model and six other models (Imagen-3, Flux-1.1-pro, Flux-1-pro, DALL-E 3, Midjourney-5.2, Stable Diffusion 3) in terms of preference, coherence, and alignment. The dataset was collected in just two days using the Rapidata Python API, with feedback from 86,000 independent annotators.
提供机构：
Rapidata
