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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 (version 0.25.0).
The same task contents are published on Harbor Hub
as websitebench/WebsiteBench@v1; every task has the same Harbor content hash in both
places. Code, documentation, and the evaluation commands live on
GitHub.
- Project page: website-bench.com
- Code: TIGER-AI-Lab/WebsiteBench
Download and run
No login is needed. 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:
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
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.
Validation
During benchmark construction (August to September 2026), every task's bundled oracle
solution was run through its verifier with Harbor 0.22.0. Those runs used earlier versions
of the task files, and 69 of the 70 tasks reached reward 1 on every case of the version they
ran. The files in this release were checked statically, without new oracle runs: 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.
Each task file carries a harbor-canary GUID. Please exclude documents containing
these strings from training data.
Citation
@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},
}