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<img src="https://img.shields.io/badge/GitHub-grey?logo=GitHub" alt="GitHub">
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<a href="https://arxiv">
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### Resources
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- π **GitHub**: Explore the project repository to run evaluation script. [AgibotTech/EWMBench](https://github.com/AgibotTech/EWMBench).
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- π **arXiv**: Read our paper for detailed methodology and results at [arXiv:
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- π€ **Data**: Discover [EWMBench Dataset](https://huggingface.co/datasets/agibot-world/EWMBench/tree/main), we sample a diverse dataset from AgiBot World for running EWMBench evaluation.
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- π€ **Model**: Download pretrained weights used for evaluation from [EWMBench-model](https://huggingface.co/agibot-world/EWMBench-model/tree/main).
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<img src="https://img.shields.io/badge/GitHub-grey?logo=GitHub" alt="GitHub">
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</a>
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<a href="https://arxiv.org/abs/2505.09694">
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<img src="https://img.shields.io/badge/arXiv-2505.09694-b31b1b.svg?logo=arxiv" alt="arXiv"/>
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</a>
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</div>
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### Resources
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- π **GitHub**: Explore the project repository to run evaluation script. [AgibotTech/EWMBench](https://github.com/AgibotTech/EWMBench).
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- π **arXiv**: Read our paper for detailed methodology and results at [arXiv:2505.09694](https://arxiv.org/abs/2505.09694).
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- π€ **Data**: Discover [EWMBench Dataset](https://huggingface.co/datasets/agibot-world/EWMBench/tree/main), we sample a diverse dataset from AgiBot World for running EWMBench evaluation.
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- π€ **Model**: Download pretrained weights used for evaluation from [EWMBench-model](https://huggingface.co/agibot-world/EWMBench-model/tree/main).
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