--- license: apache-2.0 pretty_name: WebsiteBench language: - en tags: - benchmark - agents - web-agents - website-reconstruction - harbor viewer: false extra_gated_heading: Access WebsiteBench extra_gated_description: >- The reference websites in WebsiteBench reproduce the appearance and behavior of real websites. Their text, images, fonts, and trademarks belong to their owners. extra_gated_prompt: >- By requesting access you agree to use WebsiteBench for non-commercial research only and not to redistribute the reference website content outside this dataset. extra_gated_fields: I will use WebsiteBench for research only: checkbox I understand that website content belongs to its owners: checkbox extra_gated_button_content: Agree and access --- # 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 `reacher-z/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 Accept the access terms on this page, log in with `hf auth login`, then use the download script from the GitHub repository. It verifies every file against `manifest.json` and restores the executable permissions that Hugging Face does not store: ```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 uv run harbor run --path ./local-tasks/medium --agent oracle ``` Omit `--task` to download all 70 tasks into `local-tasks/`. 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//instruction.md` | The reconstruction task given to the agent | | `tasks//task.toml` | Harbor configuration, resources, and network policies | | `tasks//environment/` | Agent environment, browser gateway, mailbox, and the reference website | | `tasks//solution/` | The bundled oracle implementation installed by `solve.sh` | | `tasks//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 | ## Validation During benchmark construction, every task's bundled oracle solution was run through its verifier; these runs are historical records. The files in this release were checked statically: each task passes the repository's asset check, and every file matches `manifest.json` and the Harbor Hub package. ## 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, as stated in the access terms. Each task file carries a `harbor-canary` GUID. Please exclude documents containing these strings 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}, } ```