jiamingzz/lgwm-data

LGWM data and RSWT-Bench

Data for Right Screen, Wrong Transition: World Models as Verifiers for GUI Agents: the processed GUI transitions used to train LGWM and the RSWT-Bench benchmark.

Project page · Code · Model weights

Transitions

Each transition is a before screenshot, an action and an after screenshot.

Source	Train	Validation
Android in the Wild	639,758	13,392
MiniWoB++	986,151	–
GUIOdyssey	95,788	5,045
AndroidControl	70,514	670
AMEX	32,613	1,728
Total	1,824,824	20,835

Path	Content
processed/	Screenshot shards (256×512 WebP) with actions, 36 GB
index/	One row per transition: shard, byte offsets of the two screenshots, action
text_table.npz	Action-text embeddings

The viewer shows the index/ tables. In them, action_type is 0 tap, 1 long_press, 2 swipe, 3 scroll, 4 type_text, 5 key, 6 open_app, 7 wait, 8 click, 9 hover, 10 drag; x, y, x2, y2 are normalized to 0–1; direction is 0 up, 1 down, 2 left, 3 right.

RSWT-Bench

RSWT-Bench (Right Screen, Wrong Transition) is a donor-paired benchmark for transition verification. Each of 222 credential screens appears once as a legitimate outcome and once, pixel-identical, as a hijacked one, so any detector that sees only the resulting screen scores 0.5 AUC by construction. The test split has 966 transitions; the train split has 6,786 for supervised methods.

Field	Meaning
base	Transition supplying the current screen and action
obs	Transition supplying the observed next screen
pair_id	Hijacked/paired-safe example pair
donor_id	Replacement-screen identity used for the paired bootstrap
cls	1 hijacked, 2 paired safe, 3 legitimate credential, 4 surprising benign, 5 benign mismatch

Usage

git clone https://github.com/jiamingzhang94/lgwm && cd lgwm
pip install -c requirements-tested.txt -e '.[text,training,evaluation]'
hf download jiamingzz/lgwm --local-dir weights
hf download jiamingzz/lgwm-data --repo-type dataset --local-dir data

python tools/extract_features.py --manifest benchmark/rswt_bench_test.jsonl \
  --data-root data --index-dir data/index --output outputs/features/test
python tools/evaluate_benchmark.py --features outputs/features/test \
  --output outputs/eval/test.json

Citation

@misc{zhang2026lgwm,
  title  = {Right Screen, Wrong Transition:
            World Models as Verifiers for GUI Agents},
  author = {Zhang, Jiaming and Wang, Xuan and Zhang, Fuyao and
            Cao, Yang and Lyu, Lingjuan and Lim, Wei Yang Bryan},
  year   = {2026},
  howpublished = {\url{https://github.com/jiamingzhang94/lgwm}}
}