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sinamalakouti/CultiVATE

CultiVATE Benchmark CultiVATE benchamrk was used in Culture in Action: Evaluating Text-to-Image Models through Social Activities (ICLR 2026) for evaluating T2I generative models on cultural activities. This page includes the benchmark datasets, please visit the github repo in order to use the AHEaD automatic metrics. Paper link Project page Code CultiVATE covers 576 social activities in 9 categories (for example dancing, greeting, and dining) across 16 countries. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/sinamalakouti/CultiVATE.

Author / organizationsinamalakouti
License (as declared)other
Downloads203 (as reported by Hugging Face)
Likes0
Created1 May 2026
Last updated at source22 September 2026
culturetext-to-imageevaluation
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