WebShop
Simulated shopping environment for instruction-following web agents.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Benchmarks
- Environment
- web
- Topics
- evaluation, web-navigation
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-16T06:35:57Z
- Resource ID
- github:princeton-nlp/webshop
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- MIT (repository LICENSE header; not a weights/data license)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
Evaluation protocol
- Focus
- instruction-conditioned product selection, web navigation
- Setting
- interactive
- Observations
- HTML pages, simplified text views
- Actions / outputs
- search queries, click actions, product option selection
- Evaluation
- Not recorded
Scale and counting units
- 12,087 instructions — crowd-sourced instruction collection source
- ≈ 1,180,000 products — full product inventory source
This is a simulated shop. The default preview loads 1,000 products, while the full inventory is much larger; report the loaded subset and observation mode. Instructions and products are different populations. Detailed reward semantics are not normalized in this profile.
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Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-16T06:35:57Z. Supports: name, kind, summary, environments, topics, scope, relations, details.
Content fingerprint
79b7a90a1413a52deb53142b5bbd81ecf40f61743bd4601c2835e91375898ec0 - editorial primary review
Retrieved 2026-10-16T06:35:57Z. Supports: details.benchmark_protocol.
Content fingerprint
79b7a90a1413a52deb53142b5bbd81ecf40f61743bd4601c2835e91375898ec0 - license header
Retrieved 2026-10-16T06:41:58Z. Supports: licenses.code.
Content fingerprint
8872dbf8660b00890b5e07ce1ea1f7a44fa7ae4e1857da56caba172b51dab3cb
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