| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| pretty_name: ExeWorldBench |
| task_categories: |
| - text-generation |
| - image-text-to-text |
| tags: |
| - code-generation |
| - text-to-code |
| - image-to-code |
| - world-modeling |
| - blender |
| - benchmark |
| - physical-reasoning |
| - physical-intelligence |
| - visual-to-code |
| - visual-coding |
| - vision-language-model |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # ExeWorldBench: Benchmarking Code-Based Executable 3D World Modeling |
|
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| 📄 **Paper:** [Coming Soon](https://helen1p.github.io/ExeWorldBench/) |
|
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| 🌐 **Project Page:** https://helen1p.github.io/ExeWorldBench/ |
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|
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| ## Overview |
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| **ExeWorldBench** is a benchmark for evaluating **world understanding and executable realization** through code-based 3D world construction. Rather than merely reproducing *what a world looks like*, ExeWorldBench evaluates whether models can construct *an executable world that works*. |
|
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| ## Usage |
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| ### 1. Harness-Based Evaluation |
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| For harness-based evaluation, the `t1/`, `t2/`, and `t3/` directories contain the task files and required assets. |
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| Each task is organized in its own directory and can be executed directly using the corresponding agent harness. |
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| Before running a task, replace the dataset path `/xxx/ExeWorldBench` in the task instructions with your own path to the dataset. |
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| ### 2. API-Based Evaluation |
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| For direct API-based evaluation, use the prompts provided in the `api_prompt/` directory. |
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| #### T1 |
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| All T1 instances share the same prompt templates, located in `api_prompt/t1/`: |
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| - **`prompt.txt`**: Replace `<image>` with the corresponding reference image. |
| - **`prompt_image.txt`**: Replace `<image>` and `<frames>` with the corresponding reference image and reference frames, respectively. |
| |
| The required images and frames can be found in the corresponding task directories under `t1/`. |
| |
| #### T2 |
| |
| All T2 instances share the same prompt templates, located in `api_prompt/t2/`: |
| |
| - **`prompt.txt`**: Replace `<image>` with the corresponding reference image. |
| - **`prompt_image.txt`**: Replace `<image>` and `<frames>` with the corresponding reference image and motion reference frames, respectively. |
| |
| The required images and frames can be found in the corresponding task directories under `t2/`. |
| |
| #### T3 |
| |
| Unlike T1 and T2, **each T3 instance has its own task-specific prompt**. |
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| All individual prompts are provided in `api_prompt/t3/`, organized by task. Use the corresponding prompt for each instance directly, rather than applying a shared prompt template. |
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| ### 3. Score Evaluation |
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| The prompts for the judge model are provided in the `eval/` directory. |
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| ## Contact |
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| For questions, please contact: |
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| xg.pengv@gmail.com |
| |
| ## Citation |
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| If you find ExeWorldBench useful in your research, please consider citing our paper: |
| |
| ```bibtex |
| |
| ``` |
