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| pretty_name: LGWM data and RSWT-Bench | |
| language: | |
| - en | |
| size_categories: | |
| - 1M<n<10M | |
| tags: | |
| - world-model | |
| - gui-agent | |
| - computer-use | |
| - mobile-agent | |
| - agent-safety | |
| - android | |
| configs: | |
| - config_name: transitions | |
| default: true | |
| data_files: | |
| - split: train | |
| path: index/*/train/*.parquet | |
| - split: validation | |
| path: index/*/validation/*.parquet | |
| - config_name: rswt_bench | |
| data_files: | |
| - split: test | |
| path: benchmark/rswt_bench_test.parquet | |
| - split: train | |
| path: benchmark/rswt_bench_train.parquet | |
| # 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](https://huggingface.co/jiamingzz/lgwm) | |
| and the RSWT-Bench benchmark. | |
| [Project page](https://jiamingzhang.netlify.app/lgwm/) · [Code](https://github.com/jiamingzhang94/lgwm) · [Model weights](https://huggingface.co/jiamingzz/lgwm) · [Paper](https://arxiv.org/abs/2610.11942) | |
| ## Transitions | |
| Each transition is a before screenshot, an action and an after screenshot. | |
| | Source | Train | Validation | | |
| | --- | ---: | ---: | | |
| | [Android in the Wild](https://github.com/google-research/google-research/tree/master/android_in_the_wild) | 639,758 | 13,392 | | |
| | [MiniWoB++](https://github.com/Farama-Foundation/miniwob-plusplus) | 986,151 | – | | |
| | [GUIOdyssey](https://huggingface.co/datasets/OpenGVLab/GUI-Odyssey) | 95,788 | 5,045 | | |
| | [AndroidControl](https://github.com/google-research/google-research/tree/master/android_control) | 70,514 | 670 | | |
| | [AMEX](https://huggingface.co/datasets/Yuxiang007/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. In each of 222 donor pairs, a credential screen 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 | |
| ```bash | |
| 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 | |
| ```bibtex | |
| @article{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}, | |
| journal = {arXiv preprint arXiv:2610.11942}, | |
| year = {2026} | |
| } | |
| ``` | |