---
license: apache-2.0
task_categories:
- other
tags:
- computer-use
- gui-agents
- synthetic
- multi-application
pretty_name: SynthUX Computer-Use (economy sim)
---

# SynthUX Computer-Use Dataset — economy sim r11

Grounded visual computer-use trajectories generated by SynthUX. Each record is
one worker's device session inside a simulated company: a goal expands into a
node tree, terminal nodes drive real desktop-simulator apps (Terminal, Notes,
VS Code, Browser, Slack/Teams, Mail, Sheets, Slides, …) through low-level
mouse/keyboard input, and the observed trajectory is recorded as a screen video
plus per-node frames.

App-native multi-application execution (no workbench overlay), per-actor content
diversity, cross-OS messaging, and large multi-company economies. Each economy
simulation is published as its own dataset repo.

## Contents

- `data.jsonl` — one record per rendered trajectory.
- `screenshots/<trajectory>/<node_id>.png` — a frame per terminal node, taken
  at that node's last input event.
- `videos/<trajectory>.webm` — the full screen recording.

## Record schema

| field | meaning |
|---|---|
| `trajectory_id` | unique id (`<actor>__<env>`) |
| `actor_id`, `company`, `role_id`, `title` | who, in which org |
| `env` | simulator: `macos-web-next` / `windows-web-next` / `browser-os` |
| `goal` | natural-language goal for the session |
| `tree.nodes` | the actor's terminal nodes (`surface`, `action`, `target`, `args`) |
| `trajectory.input_events` | dense low-level mouse/keyboard/script events with `t_ms` |
| `trajectory.observations` | causal simulator state after each node |
| `trajectory.alignment` | links observations + input-event ranges to node ids |
| `media.video` | screen recording (webm) |
| `media.frames` | per-node PNG frames (node_id, t_ms, blob_ref) |

## Stats (this build)

- trajectories: **36**
- videos: 36 · frames: 997
- companies: 6
- by env: browser-os (4), macos-web-next (10), windows-web-next (22)

## Provenance

Generated with SynthUX (synthux.multicompany.day.v1). Observations are causal
(mutation channel = low_level_input); no high-level app mutation is used
during capture.