AndroidControl (JSON)
Overview
This dataset provides all splits of AndroidControl in a ready-to-use JSON format, extracted from the original Google Cloud data release.
Motivation: Most GUI agent works use GUI-Actor-Data for training, which includes AndroidControl images but does not include the test set JSON. Obtaining any split from the original source requires downloading the full dataset (~47 GB) from Google Cloud, which is cumbersome. This dataset provides all splits as lightweight JSON files so researchers can use them directly for training or evaluation.
Images: Screenshots are not included in this repository. Use the images from cckevinn/GUI-Actor-Data, which covers all splits.
Files
| File | Episodes | Steps | Description |
|---|---|---|---|
train-AndroidControl.json |
13,594 | 74,714 | Train — all action types |
train-AndroidControl-click.json |
13,106 | 46,424 | Train — click actions only |
validation-AndroidControl.json |
137 | 690 | Validation — all action types |
validation-AndroidControl-click.json |
133 | 420 | Validation — click actions only |
test-AndroidControl.json |
1,543 | 8,444 | Test — all action types |
test-AndroidControl-click.json |
1,484 | 5,074 | Test — click actions only |
Data Format
Both files share the same structure: a list of episodes, where each episode is a list of steps.
[
[ // episode
{ // step
"img_url": "android_control_episode_[27]_0.png",
"img_size": [1080, 2400],
"episode_id": 27,
"goal": "Open the Zoho Meet app, view the scheduled meetings.",
"instruction": "Open the Zoho Meet app",
"action": {
"action_type": "open_app",
"app_name": "Zoho Meeting"
}
},
...
],
...
]
Fields
| Field | Type | Description |
|---|---|---|
img_url |
string | Filename of the corresponding screenshot, format: android_control_episode_[{episode_id}]_{step_idx}.png |
img_size |
[int, int] | Screenshot resolution [width, height], typically [1080, 2400] |
episode_id |
int | Episode ID from the original AndroidControl dataset |
goal |
string | High-level task goal in natural language |
instruction |
string | Step-level instruction |
action |
object | Ground-truth action (see below) |
Action Types
action_type |
Additional Fields | Description |
|---|---|---|
click |
x, y (normalized 0–1) |
Tap on screen coordinates |
scroll |
direction (up/down/left/right) |
Scroll gesture |
type |
text |
Type text input |
navigate_back |
— | Press back button |
navigate_home |
— | Press home button |
open_app |
app_name |
Launch an application |
wait |
— | Wait for screen to load |
-clickvariants contain onlyclicksteps and are intended for point-grounding evaluation.
Usage
import json
with open("test-AndroidControl.json") as f:
episodes = json.load(f)
# episodes[i] → i-th episode (list of steps)
# episodes[i][j] → j-th step of i-th episode
# episodes[i][j]["img_url"] → match against GUI-Actor-Data images
# episodes[i][j]["action"] → ground-truth action for evaluation
Source
Derived from the AndroidControl dataset released by Google Research. All splits are reformatted into JSON; no images are redistributed.
Please cite the original work if you use this dataset:
@article{li2024effects,
title={On the Effects of Data Scale on Computer Control Agents},
author={Li, Wei and Bishop, William and Li, Alice and Rawles, Chris and Campbell-Ajala, Folawiyo and Tyamagundlu, Divya and Riva, Oriana},
journal={arXiv preprint arXiv:2406.03679},
year={2024}
}
License
The original AndroidControl dataset is licensed under the Apache License 2.0:
Copyright 2024 The Google Research Authors. Licensed under the Apache License, Version 2.0. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
This repository redistributes a subset of that data in reformatted form and is therefore also released under the Apache License 2.0.