Update README.md

README.md

@@ -1,27 +1,92 @@
 ---
 license: cc-by-4.0
 language:
-- en
+  - en
 pretty_name: ExeWorldBench
 task_categories:
-- text-generation
-- image-text-to-text
+  - 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
+  - code-generation
+  - text-to-code
+  - image-to-code
+  - world-modeling
+  - blender
+  - benchmark
+  - physical-reasoning
+  - physical-intelligence
+  - visual-to-code
+  - visual-coding
 size_categories:
-- 1K<n<10K
+  - 1K<n<10K
 ---
 
-## ExeWorldBench: Benchmarking Code-Based Executable 3D World Modeling
+# ExeWorldBench: Benchmarking Code-Based Executable 3D World Modeling
 
-https://helen1p.github.io/ExeWorldBench/
-### Contact: xg.pengv@gmail.com
+📄 **Paper:** [Coming Soon](https://helen1p.github.io/ExeWorldBench/)
+
+💻 **GitHub:** https://github.com/Helen1p/ExeWorldBench
+
+🌐 **Project Page:** https://helen1p.github.io/ExeWorldBench/
+
+🤗 **Dataset:** https://huggingface.co/datasets/HelenPeng/ExeWorldBench
+
+## Overview
+
+**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*.
+
+## Usage
+
+### 1. Harness-Based Evaluation
+
+For harness-based evaluation, the `t1/`, `t2/`, and `t3/` directories contain the task files and required assets.
+
+Each task is organized in its own directory and can be executed directly using the corresponding agent harness.
+
+Before running a task, replace the dataset path `/xxx/ExeWorldBench` in the task instructions with your own path to the dataset.
+
+### 2. API-Based Evaluation
+
+For direct API-based evaluation, use the prompts provided in the `api_prompt/` directory.
+
+#### T1
+
+All T1 instances share the same prompt templates, located in `api_prompt/t1/`:
+
+- **`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**.
+
+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
+
+```