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Dataset · Hugging Face

Rapidata/text-2-image-Rich-Human-Feedback

Building upon Google's research Rich Human Feedback for Text-to-Image Generation we have collected over 1.5 million responses from 152'684 individual humans using Rapidata via the Python API. Collection took roughly 5 days. If you get value from this dataset and would like to see more in the future, please consider liking it. Overview We asked humans to evaluate AI-generated images in style, coherence and prompt alignment. For images that contained flaws, participants were… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-image-Rich-Human-Feedback.

Author / organizationRapidata
License (as declared)apache-2.0
Downloads735 (as reported by Hugging Face)
Likes38
Created6 January 2025
Last updated at source25 September 2026
t2ipreferenceshumanfluxmidjourneyimagendalleheatmapcoherencealignmentstyleplausiblity
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