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ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models in realistic multimodal scenarios. It spans six diverse tasks and six content domains, providing a unified framework for assessing model compositionality, instruction following, and multimodal capability. The dataset is hosted by TIGER-Lab and was last updated on April 14, 2026.
The Condition Set is provided in Parquet format, but specific file structures and required tools are not detailed.