--- 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` with the corresponding reference image. - **`prompt_image.txt`**: Replace `` and `` 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 `` with the corresponding reference image. - **`prompt_image.txt`**: Replace `` and `` 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**. 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. ### 3. Score Evaluation The prompts for the judge model are provided in the `eval/` directory. ## Contact For questions, please contact: xg.pengv@gmail.com ## Citation If you find ExeWorldBench useful in your research, please consider citing our paper: ```bibtex ```