Datasets

MultiUI

7.3 million training samples built from webpage UIs and structured with enhanced accessibility trees, for text-rich visual understanding, released with UIX-Qwen2 models.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

Original source ↗Read as Markdown Record JSON

What is this resource?

Resource type: Datasets
Environment: web
Topics: screen-understanding, data-generation
Record publication date: Not recorded
Evidence retrieved: 2026-10-16T06:36:01Z
Resource ID: github:neulab/multiui

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code: Not recorded
Data: Not recorded
Document: Not recorded
Weights: Not recorded

Dataset profile

Supervision: UI understanding, text-rich visual tasks
Modalities: webpage UI content, text, accessibility-derived structure
Formats: Not recorded
Splits: training collection

Scale and counting units

≈ 7,300,000 samples — reported MultiUI training collection source

The README provides a rounded sample count. It does not establish a unique-screenshot inventory or a normalized split breakdown. Synthetic examples and publicly sourced web content have provenance and quality limits; data terms must be checked separately from repository code.

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Recorded specifications

modalities: ["screenshot", "instruction"]
reported scale: {"comparison": "approximately", "unit": "samples", "value": 7300000}
sample unit: instructions

Explore related topics

Screen understanding Data generation

Primary evidence and verification

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editorial primary review
Retrieved 2026-10-16T06:36:01Z. Supports: name, kind, summary, environments, topics, scope, relations, details.
Content fingerprint
fe0c03fe73529a29788d559103c4aed48dca6ed9ba3bfd5f151f902fa8858b38
editorial primary review
Retrieved 2026-10-16T06:36:01Z. Supports: details.dataset_profile.
Content fingerprint
fe0c03fe73529a29788d559103c4aed48dca6ed9ba3bfd5f151f902fa8858b38

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