AMEX

Code for AMEX Android GUI data that converts its three annotation levels into question-answer pairs and fine-tunes a LLaMA2-Accessory model, with a released checkpoint.

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

Datasets

Environment

android

Topics

data-generation

Record publication date

Not recorded

Evidence retrieved

2026-10-16T06:36:01Z

Resource ID

github:yuxiangchai/amex-codebase

What licenses are recorded?

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

Code

Apache-2.0 (repository LICENSE header; not a weights/data license)

Data

Not recorded

Document

Not recorded

Weights

Not recorded

Dataset profile

Supervision

element grounding, UI functionality, interaction trajectories

Modalities

screenshots, element annotations, functionality descriptions, action chains

Formats

Not recorded

Splits

Not recorded

Scale and counting units

• > 104,000 screenshots — AMEX collection described in the paper source

The main repository contains companion training code. The scale and annotation levels here come from the paper, not an independent download or completeness audit.

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Explore related topics

Related resources

• documented by: AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

1. editorial primary review

   Retrieved 2026-10-16T06:36:01Z. Supports: name, kind, summary, environments, topics, scope, relations, details.dataset_profile.

   Content fingerprint

   3184bfd612543621e57226e9079132dc8d5695339795a60366d3f6d445e13551
2. editorial primary review

   Retrieved 2026-10-16T06:36:58Z. Supports: details.dataset_profile, relations.

   Content fingerprint

   c87e97eb397da04806d53145cf9c13be739fc657bb54dca9318c8c4ed2a36249
3. editorial primary review

   Retrieved 2026-10-18T04:27:11Z. Supports: relations.

   Content fingerprint

   4aab61e6a95ab6b6598fb64b8e55d787cd49b5c4f242d15372aed2dd312f97aa
4. license header

   Retrieved 2026-10-16T06:42:02Z. Supports: licenses.code.

   Content fingerprint

   c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4

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