This T2I dataset contains roughly 400k human responses from over 82k individual annotators, collected in just ~2 Days using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Frames across three categories: preference, coherence, and alignment.
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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/Runway_Frames_t2i_human_preferences.
