VideoCAD training and evaluation code
VideoCADFormer training, action-log preprocessing and evaluation code for learning CAD interface action sequences from screen recordings of browser-based Onshape.
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
- Frameworks
- Environment
- web
- Topics
- grounding, imitation-learning, evaluation
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-18T12:02:53.536297+00:00
- Resource ID
- github:ghadinehme/videocad
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- MIT (The author repository at the inspected commit contains the standard MIT license. This declaration does not establish terms for externally hosted data or weights.)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: MIT declaration in the author repository LICENSE; separate data, weights and document scopes are not inferred. Source 1
Recorded specifications
- repository id
- 1079441024
- repository revision
- 2d69eeaf0ac44210c76dcab2d08b4d4610be236c
Explore related topics
Scope and limitations
The paper links this author repository. Training, preprocessing, model and evaluation source files are released; runtime behavior has not been independently reproduced. Onshape is a browser-based CAD environment; supported operating systems are not inferred. The full dataset and a checkpoint are linked separately, and their payloads were not downloaded for this review. MIT is recorded only for this repository code; external data and weight licenses remain unknown.
Related resources
- documented by: VideoCAD: A Dataset and Model for Learning Long-Horizon 3D CAD UI Interactions from Video
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 2026-10-18T12:02:53.536297+00:00. Supports: name, kind, summary, topics, scope, notes, relations.
Content fingerprint
cbb08803922b4b7736979ca0a5fe552b111fcd428fa9317401bc090b14bb4e54 - editorial primary review
Retrieved 2026-10-18T12:02:30.768857+00:00. Supports: identity, details.repository_id.
Content fingerprint
ff80afd35c79d8dd27dd7b9284ce082fe238c13a113aa19400ca0dc2d18ff194 - editorial primary review
Retrieved 2026-10-18T12:02:52.564274+00:00. Supports: release_status, details.repository_revision, notes.
Content fingerprint
9ded7c6ef25b88879e9d46939ca7ff3bef97362e76dbdb808e57c67008541557 - editorial primary review
Retrieved 2026-10-18T12:02:34.311949+00:00. Supports: environments, summary, relations, notes.
Content fingerprint
a303d95a811331cd6ee23b0340f1b9ef2dd996835bfbc66656a871ff94eead50 - editorial primary review
Retrieved 2026-10-18T12:03:24.765415+00:00. Supports: licenses.code.
Content fingerprint
8e02753a1016dc67c97b395934313027b5f91b74209c7a24438de70fdc19cad1
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