Benchmarks

AndroidArena

Android environment for evaluating language-model-driven agents.

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

Original source ↗Read as MarkdownRecord JSON

What is this resource?

Resource type
Benchmarks
Environment
android
Topics
evaluation, mobile-navigation
Record publication date
Not recorded
Evidence retrieved
2026-10-16T06:35:58Z
Resource ID
github:androidarenaagent/androidarena

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

Evaluation protocol

Focus
multi-step Android tasks, cross-app workflows and instruction constraints
Setting
interactive
Observations
UI hierarchy text, screenshots, combined text/image observations
Actions / outputs
app launch/stop, click/double-click/long-click, text input, swipe/drag and Android navigation, finish
Evaluation
The released evaluator compares trajectories with reference actions using longest-common-subsequence-based task reward and completion. Its reversed redundancy metric is the reference/predicted action-length ratio (with 1e-6 denominator smoothing), multiplied by the LLM success flag. LLM success judgments and instruction-constraint checks are separate metrics. Full reference-dependent evaluation coverage cannot be assumed because complete annotated action sequences are not released.

Scale and counting units

Not recorded

README states that task instructions are released but annotated action sequences, apart from the calendar example, will come later. Environment setup targets Android API 33 with uiautomator2 and manual Google-account setup. Public task YAML and evaluator code exist, but benchmark execution and full reference coverage were not verified. No task total is derived from app YAML file counts. Code and data licenses remain unknown.

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  1. editorial primary review

    Retrieved 2026-10-16T06:35:58Z. Supports: name, kind, summary, environments, topics, scope, relations, details.benchmark_protocol.

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