OSTask-demo

OWA Toolkit Documentation

A demo dataset of general OS task trajectories with synchronized video and input events. Each trajectory consists of a natural language instruction paired with a human demonstration recording.

Visualize

Explore recordings directly in your browser with synchronized keyboard/mouse overlay: 👉 Open in Dataset Visualizer

Task Domains

• Browser (Chromium): Cache cleanup, web navigation
• Office (Excel): Spreadsheet manipulation
• Code Editor (VS Code): Find and replace, text editing
• General OS: Application management, system operations
• Workflow: End-to-end tasks spanning multiple applications and tools

File Structure

Each task has three files:

chromium_01.json   # Task instruction
chromium_01.mcap   # Timestamped events + frame references
chromium_01.mkv    # Video recording (HEVC)

JSON: Contains the natural language instruction for the task.

MCAP + MKV: Video and input events in OWAMcap format—keyboard, mouse, and screen capture with nanosecond timestamps.

Load the Data

pip install mcap-owa-support owa-msgs huggingface_hub

import json
from huggingface_hub import hf_hub_download
from mcap_owa.highlevel import OWAMcapReader

# Load instruction
json_file = hf_hub_download(
    repo_id="open-world-agents/OSTask-demo",
    filename="chromium_01.json",
    repo_type="dataset"
)
instruction = json.load(open(json_file))["instruction"]

# Load trajectory
mcap_file = hf_hub_download(
    repo_id="open-world-agents/OSTask-demo",
    filename="chromium_01.mcap",
    repo_type="dataset"
)

with OWAMcapReader(mcap_file) as reader:
    for msg in reader.iter_messages(topics=["screen"]):
        screen = msg.decoded
        screen.resolve_relative_path(mcap_file)
        frame = screen.load_frame_array()  # numpy array (H, W, 4) RGBA
        break

Usage

This dataset can be used for:

• Training desktop/OS automation agents
• Evaluating computer use models
• Research on GUI agents and multimodal agents