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README.md

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-Text2CAD-Bench：A Benchmark of LLMs for generating text-to-parametric CAD models
+# Text2CAD-Bench 🏭
+
+[![Version](https://img.shields.io/badge/version-v1.0-blue.svg)](https://github.com/xxx/Text2CAD-Bench)
+[![License](https://img.shields.io/badge/license-CC%20BY%204.0-green.svg)](https://creativecommons.org/licenses/by/4.0/)
+
+**Text2CAD-Bench** is the first comprehensive benchmark for evaluating text-to-CAD generation across geometric complexity and application diversity.
+
+
+</p>
+
+## 📢 News
+
+- **[2026.02]** 🎉 v1.0 released with 30% prompts for preview
+- **[Coming Soon]** v1.1 will include additional evaluation scripts and expanded documentation
+
+## 📖 Overview
+
+Text2CAD-Bench comprises **600 human-curated examples** organized into four benchmark levels:
+
+| Level | Description | Examples | Key Features |
+|-------|-------------|----------|--------------|
+| **L1** | Basic | 200 | Primitives, simple spatial relationships |
+| **L2** | Intermediate | 200 | Boolean operations, chamfer, fillet, patterns |
+| **L3** | Advanced | 100 | Sweep, loft, shell, complex surfaces |
+| **L4** | Real-world | 100 | Multi-domain applications |
+
+Each example includes **dual-style prompts**:
+- **Geometric (Geo)**: Appearance-based descriptions mimicking non-expert users
+- **Sequence (Seq)**: Procedural descriptions aligned with expert-level CAD conventions
+
+## 📁 Dataset Structure
+
+```
+Text2CAD-Bench/
+├── prompts/                    # 30% sample prompts (preview)
+│   ├── L1/
+│   │   ├── L1_001_geo
+│   │   ├── L1_001_seq
+│   │   └── ...
+│   ├── L2/
+│   ├── L3/
+│   └── L4/
+├── evaluation/                 # Evaluation scripts
+│   ├── metrics.py
+│   ├── evaluate.py
+│   └── requirements.txt
+├── examples/                   # Example outputs
+│   └── visualizations/
+└── README.md
+```
+
+> ⚠️ **Note**: Ground truth STEP files are not publicly released to prevent benchmark contamination. The 30% prompt samples are provided to demonstrate data distribution and format. For full benchmark access, please contact us.
+
+## 🏆 Leaderboard
+
+> 📊 **Interactive Leaderboard**: See [leaderboard](leaderboard.html) for sortable results by different metrics.
+
+Final results are **weighted by sample count**: L1 (200, 40%), L2 (200, 40%), L3 (100, 20%).
+
+### General-purpose LLMs (Sorted by CD ↓)
+
+| Rank | Model | CD ↓ | IR ↓ | IoU ↑ | 
+|:----:|-------|-----:|-----:|------:|
+| 🥇 | GPT-5.2 | **63.97** | 30.6% | **0.45** |
+| 🥈 | Claude-4.5-Sonnet | 66.90 | 41.3% | 0.43 |
+| 🥉 | DeepSeek-V3.2 | 76.25 | **29.7%** | 0.37 |
+| 4 | MiniMax M2.11 | 83.16 | 42.7% | 0.37 |
+| 5 | GLM-4.7 | 84.98 | 35.0% | 0.34 |
+| 6 | Qwen3-max | 99.21 | 43.2% | 0.28 |
+
+### Domain-specific Models (Sorted by CD ↓)
+
+| Rank | Model | CD ↓ | IR ↓ | IoU ↑ |
+|:----:|-------|-----:|-----:|------:|
+| 🥇 | CADFusion | **224.35** | 60.5% | 0.03 |
+| 🥈 | Text2CAD | 248.66 | **7.0%** | 0.05 |
+| 🥉 | Text2CADQuery | 250.27 | 51.0% | 0.04 |
+
+
+
+</details>
+
+## 🚀 Quick Start
+
+### Installation
+
+```bash
+git clone https://github.com/xxx/Text2CAD-Bench.git
+cd Text2CAD-Bench
+pip install -r evaluation/requirements.txt
+```
+
+### Evaluation
+
+```python
+from evaluation import evaluate
+
+# Load your model outputs
+results = evaluate(
+    predictions_dir="path/to/your/outputs",
+    metrics=["CD", "IR", "IoU"]
+)
+
+print(results.summary())
+```
+
+### Submit to Leaderboard
+
+To submit your results to the leaderboard:
+
+1. Run evaluation on the full benchmark by upload your model.
+2. Generate results file using our evaluation script
+3. Submit via [Google Form](https://forms.google.com/xxx) or email
+
+```bash
+python evaluation/generate_submission.py \
+    --predictions_dir path/to/outputs \
+    --output submission.json
+```
+
+
+## 📜 License
+
+This work is licensed under a [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
+
+You are free to:
+- **Share** — copy and redistribute the material in any medium or format
+- **Adapt** — remix, transform, and build upon the material for any purpose, even commercially
+
+Under the following terms:
+- **Attribution** — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
+
+## 📧 Contact
+
+- **Email**:
+- **Issues**: Please use GitHub Issues for bug reports and feature requests
+- **Full benchmark access**: Contact us with your affiliation and intended use
+
+## 🙏 Acknowledgements
+
+We thank all annotators and reviewers who contributed to the construction of Text2CAD-Bench.
+
+---
+
+<p align="center">
+  <i>Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generation</i>
+</p>