| --- |
| license: apache-2.0 |
| pretty_name: WebsiteBench |
| language: |
| - en |
| tags: |
| - benchmark |
| - agents |
| - web-agents |
| - website-reconstruction |
| - harbor |
| viewer: false |
| --- |
| |
| # WebsiteBench |
|
|
| Given a production-level website they can explore through a browser, agents must |
| reverse-engineer a full-stack version that matches its appearance and behavior as |
| closely as possible. |
|
|
| This dataset holds the 70 WebsiteBench tasks in the native task format of the |
| [Harbor framework](https://github.com/harbor-framework/harbor) (version 0.25.0). |
| The same task contents are published on [Harbor Hub](https://hub.harborframework.com/) |
| as `websitebench/WebsiteBench@v1`; every task has the same Harbor content hash in both |
| places. Code, documentation, and the evaluation commands live on |
| [GitHub](https://github.com/TIGER-AI-Lab/WebsiteBench). |
|
|
| - Project page: [website-bench.com](https://website-bench.com/) |
| - Code: [TIGER-AI-Lab/WebsiteBench](https://github.com/TIGER-AI-Lab/WebsiteBench) |
|
|
| ## Download and run |
|
|
| No login is needed. Install the `websitebench` package, which pins Harbor 0.25.0, and |
| download with it. It checks every task against its pinned Harbor content hash and restores |
| the executable permissions that Hugging Face does not store: |
|
|
| ```sh |
| pip install websitebench |
| websitebench download --source hf --task medium |
| harbor run --path ./local-tasks/medium --agent oracle |
| ``` |
|
|
| Or from a clone of the GitHub repository: |
|
|
| ```sh |
| git clone https://github.com/TIGER-AI-Lab/WebsiteBench.git |
| cd WebsiteBench |
| uv sync |
| uv run python scripts/download_tasks.py --source hf --task medium |
| ``` |
|
|
| Omit `--task` to download all 70 tasks (9.7 GB) into `local-tasks/`. Hugging Face |
| rate-limits anonymous downloads, so a full download can pause for a few minutes at a time; |
| logging in with `hf auth login`, or setting `HF_TOKEN`, raises the limit. |
|
|
| Every task requests 8 CPUs, 8 GiB of memory and 20 GiB of disk for each agent and verifier environment; see the GitHub README for |
| requirements. The GitHub |
| [documentation](https://github.com/TIGER-AI-Lab/WebsiteBench/tree/main/docs) |
| describes coding-agent runs, batch runs, and results. |
|
|
| ## Contents |
|
|
| | Path | Contents | |
| | --- | --- | |
| | `tasks/<task>/instruction.md` | The reconstruction task given to the agent | |
| | `tasks/<task>/task.toml` | Harbor configuration, resources, and network policies | |
| | `tasks/<task>/environment/` | Agent environment, browser gateway, mailbox, and the reference website | |
| | `tasks/<task>/solution/` | The bundled oracle implementation installed by `solve.sh` | |
| | `tasks/<task>/tests/` | The separate verifier, its oracle runtime, and the hidden test suite | |
| | `manifest.json` | SHA-256, size, and mode of every file, and each task's Harbor content hash | |
|
|
| In four tasks with very large static sites (`backcountry`, `columbia`, `eatthismuch`, |
| `warbyparker`), each application copy stores its `clone/static/` and `clone/backend/content/` |
| files in one `websitebench-static.tar`. The task's Dockerfiles, `tests/test.sh` and |
| `solution/solve.sh` unpack it, so the files inside the containers are the same as in an |
| unpacked copy. |
|
|
| ## Scoring |
|
|
| Each task has 302 to 2,016 hidden test cases, 46,916 in total. A case passes when its |
| functional checks pass and every visual checkpoint's flat-baseline-normalized RGB SSIM |
| reaches 0.99. A task's reward is the number of passed cases divided by the number of cases. |
|
|
| ## License and terms |
|
|
| The benchmark code, task definitions, and verifier are released under the |
| Apache-2.0 license. The reference websites reproduce third-party sites for |
| evaluation; their content remains the property of its owners and is provided for |
| non-commercial research only. |
|
|
| The task definitions carry a `harbor-canary` GUID. Please exclude documents containing |
| it from training data. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{zhang2026websitebench, |
| title = {WebsiteBench: Can AI Agents Rebuild Websites through Browser Exploration?}, |
| author = {{WebsiteBench Authors}}, |
| year = {2026}, |
| url = {https://github.com/TIGER-AI-Lab/WebsiteBench}, |
| } |
| ``` |
|
|
