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Dataset · Hugging Face

Rapidata/xAI_Aurora_t2i_human_preferences

Rapidata Aurora Preference This T2I dataset contains over 400k human responses from over 86k individual annotators, collected in just ~2 Days using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation. Evaluating Aurora across three categories: preference, coherence, and alignment. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider liking it.… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/xAI_Aurora_t2i_human_preferences.

Author / organizationRapidata
License (as declared)cdla-permissive-2.0
Downloads240 (as reported by Hugging Face)
Likes15
Created30 January 2025
Last updated at source3 February 2025
HumanPreferenceCoherenceAlignmentcountrylanguagefluxmidjourneydalle3stabeldiffusionalignmentflux1.1flux1imagen3aurora
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