| --- |
| pretty_name: RefCraft |
| language: |
| - en |
| - zh |
| tags: |
| - arxiv:2610.26826 |
| - benchmark |
| - multimodal |
| - coding-agents |
| - visual-reference |
| - web-development |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: tasks |
| default: true |
| data_files: |
| - split: test |
| path: tables/tasks.parquet |
| - config_name: keypoints |
| data_files: |
| - split: test |
| path: tables/keypoints.parquet |
| --- |
| |
| <p align="center"><img src="assets/refcraft-mascot.png" alt="RefCraft mascot" width="100" /></p> |
| <h1 align="center">RefCraft</h1> |
| <p align="center"><strong>Benchmarking Visual-Reference-Conditioned Agentic Generation<br>through Web Development</strong></p> |
| <p align="center"> |
| <a href="https://arxiv.org/abs/2610.26826">Paper</a> · |
| <a href="https://wangyuchi369.github.io/RefCraft/">Project website</a> · |
| <a href="https://github.com/wangyuchi369/RefCraft">Code & evaluation</a> · |
| <a href="https://huggingface.co/datasets/YuchiWang/RefCraft/resolve/main/bundles/refcraft-inputs.tar.gz?download=true">Download inputs</a> |
| </p> |
|
|
| RefCraft provides **300 webpage-development tasks** in English and Chinese. |
| Each task combines a user request with screenshots from **one to five reference |
| webpages**, together with evaluation criteria for the generated webpage. |
|
|
| <p align="center"><img src="assets/teaser.webp" alt="RefCraft benchmark overview and reference-guided webpage generation" width="1000" /></p> |
|
|
| ## Download |
|
|
| | File | Contents | |
| | --- | --- | |
| | [refcraft-inputs.tar.gz](https://huggingface.co/datasets/YuchiWang/RefCraft/resolve/main/bundles/refcraft-inputs.tar.gz?download=true) | Requests and all 3,491 reference screenshots | |
| | [refcraft-evaluation.tar.gz](https://huggingface.co/datasets/YuchiWang/RefCraft/resolve/main/bundles/refcraft-evaluation.tar.gz?download=true) | Evaluation criteria, core tests and supporting metadata | |
|
|
| From the [code repository](https://github.com/wangyuchi369/RefCraft) root, download and extract the data: |
|
|
| ```bash |
| pip install -U huggingface_hub |
| hf download YuchiWang/RefCraft --repo-type dataset --include 'bundles/*' --local-dir . |
| tar -xzf bundles/refcraft-inputs.tar.gz |
| tar -xzf bundles/refcraft-evaluation.tar.gz |
| ``` |
|
|
| The files are restored under `data/`. The code repository already includes the |
| annotations, so only the input archive is needed with that checkout. |
|
|
| ## Browse the data |
|
|
| Select **tasks** to browse requests and reference-image previews, or **keypoints** |
| to browse evaluation criteria. Both use the `test` split. Previews show one frame; |
| download the input archive for the complete ordered reference images. |
|
|
| To load the tables, install `datasets` and run: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| tasks = load_dataset("YuchiWang/RefCraft", "tasks", split="test") |
| keypoints = load_dataset("YuchiWang/RefCraft", "keypoints", split="test") |
| print(tasks[0]["query"]) |
| ``` |
|
|
| Task records contain `sample_id`, `query`, `language`, and ordered |
| `reference_images` paths relative to `data/`. Evaluation criteria are for the |
| judge; keep them out of the tested agent's workspace. |
|
|
| ## Run evaluation |
|
|
| In the RefCraft code repository, install the dependencies and place your agent's |
| webpages in `responses/` as `<task_id>.html` or `<task_id>/index.html` (IDs 1–300): |
|
|
| ```bash |
| pip install -r requirements.txt |
| python -m playwright install chromium |
| export REFCRAFT_JUDGE_BASE_URL='https://YOUR-PROVIDER/v1' |
| export REFCRAFT_JUDGE_API_KEY='YOUR_API_KEY' |
| export REFCRAFT_JUDGE_MODEL='YOUR_VISION_MODEL' |
| python scripts/evaluate.py --responses responses --output runs/my-model \ |
| --model-name YOUR_MODEL_ID |
| ``` |
|
|
| Use Python 3.12+ and a vision-capable judge. Results are written to `scores.csv` |
| and `summary.json` under the output directory. See the |
| [Quickstart](https://github.com/wangyuchi369/RefCraft#quickstart) for generating webpages. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{wang2026refcraft, |
| title = {RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development}, |
| author = {Yuchi Wang and Rongyao Fang and Weihao Yu and Xilin Wei and Tiancheng Gu and Dingkang Yang and Hang Zhang and Dayiheng Liu and Hongsheng Li and Shuai Bai}, |
| year = {2026}, |
| eprint = {2610.26826}, |
| archivePrefix = {arXiv}, |
| url = {https://arxiv.org/abs/2610.26826} |
| } |
| ``` |
|
|
| ## License |
|
|
| Original annotation licensing is pending. See [LICENSE.md](LICENSE.md) and |
| [reference attribution](docs/attribution.md) for the recorded terms. |
|
|
