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TIGER-Lab/ImagenWorld-annotated-set

🧮 ImagenWorld – Annotated Set ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models across realistic multimodal scenarios.It spans six tasks and six domains, providing a unified framework for assessing model compositionality, instruction following, and multimodal reasoning. This repository hosts the Annotated Set of ImagenWorld, containing human evaluations of model-generated outputs.Includes both train and test splits — only train… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/ImagenWorld-annotated-set.

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Author / organizationTIGER-Lab
License (as declared)mit
Downloads176 (as reported by Hugging Face)
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Created14 October 2025
Last updated at source14 April 2026
image-generationimage-editingbenchmarkhuman-preferences
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  • 16 Oct 2026 Description: 🧮 ImagenWorld – Annotated Set ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models across realistic multimodal scenarios.It spans six tasks and six domains, providing a unified framework for asses → 🧮 ImagenWorld – Annotated Set ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models across realistic multimodal scenarios.It spans six tasks and six domains, providing a unified framework for asses

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