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zwcolin/clevr-multichange

CLEVR-Multi-Change (30–40 objects) Two-image change-captioning data used in "Stateful Visual Encoders for Vision-Language Models" (the Multi-object Visual Differencing task). Each example is a before/after pair of a CLEVR scene with 30–40 objects and 4 simultaneous changes (add / delete / move / replace), rendered at 768×768 with a wide camera angle. Built with the CLEVR-Multi-Change engine (Johnson et al. 2017; Qiu et al. 2021). Code & paper:… See the full description on the dataset page: https://huggingface.co/datasets/zwcolin/clevr-multichange.

Author / organizationzwcolin
License (as declared)cc-by-4.0
Downloads248 (as reported by Hugging Face)
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Created3 June 2026
Last updated at source3 June 2026
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