---
license: cc-by-4.0
pretty_name: GUI World Model Data
size_categories:
- 100K<n<1M
tags:
- world-model
- gui
- computer-use
- screenshots
- games
---

# GUI World Model Data

Interaction data for training small **action-conditioned world models of graphical user interfaces**: a model sees a
screen and an action (click, drag, double-click, key) and predicts the next screen. Every app and game here was
driven automatically in headless Chromium (Playwright); each record is *screen -> action -> next screen*.

Raw data only: screenshots, app states, actions. No model features are included (they are recomputed from the
screenshots with a frozen image encoder).

## Contents

| Folder | What | Size |
|---|---|---|
| `level0/` | Two-player tic-tac-toe, clicks | 5,095 unique screens, 100,000 clicks |
| `settings/` | Small settings app: toggles, slider drag, dropdown menu, reset | 524 screens, 30,000 actions |
| `files/` | Small file manager: open folders, drag files onto folders, double-click preview (has hidden state) | 1,885 states, 40,000 actions |
| `snake/` | Snake on an 8x8 board, keys, random food | 40,001 frames, 40,000 steps |
| `snake_human/` | One short human Snake session | 272 frames |
| `paint/` | Paint app: drag strokes with colours | 40,004 frames, 4 workers |
| `tetris/` | Tetris-style game (21 gravity speeds, 8 keys), random play | 80,008 frames, 8 workers |
| `tetris_expert/` | Same game, played by a scripted expert | 80,008 frames, 8 workers |
| `tinyapps/` | **TinyApps**: 1,100 procedurally generated small apps (toggles, checkboxes, counters, radio groups, dropdowns, dialogs, tabs; random layout, theme, labels, wiring). States and actions only - no screenshots | 69,892 states, 330,000 clicks |

Model checkpoints (`*.pt`, PyTorch) trained on these folders are included next to their data.

## Formats

- **Screenshots** are packed into tar shards `img-000.tar`, `img-001.tar`, ... (at most ~1 GB each) next to the
  folder's JSON. Inside: `0.png`, `1.png`, ... (Tetris: lossless WebP, `0.webp`, ...; bit-identical to the original
  PNGs). File number = state / frame index. Untar into an `img/` folder.
  - 224 x 224 RGB for all apps; Tetris frames are 620 x 620 crops.
- **Apps with unique states** (`level0`, `settings`, `files`): `states.json` (one entry per unique state; screenshot
  `i` shows state `i`) and transitions (`transitions.npz`: `src, x, y, dst` for tic-tac-toe;
  `transitions.json`: `[src, kind, x1, y1, x2, y2, dst]` with kind 0 = drag, 1 = click, 2 = double-click, 3 = type).
- **Games** (`snake`, `paint`, `tetris*`): frame sequences; `states.json[t]` describes frame `t`, `actions.json[t]`
  is the action taken after frame `t`; `episodes.json` gives the episode of each frame where present.
- **TinyApps** (`tinyapps/apps_w*.json`): a list of apps `{seed, spec, states, trans}` with `trans = [src, x, y, dst]`
  (click position in pixels of the 224 x 224 page). Screens are re-rendered from the states by the generator page
  (`tinyapp.html#SEED`, `window.__set(state)`), which is deterministic.

## Notes

- `files/` has hidden state: what is inside a closed folder is not visible, so many states share one screenshot.
- Tetris frames carry faint renderer noise (low-amplitude pixel differences between otherwise equal frames).
- Code (collectors, generator, models) will be released with the accompanying paper.