license: mit
task_categories:
- other
language:
- en
tags:
- gui
- video
- youtube
- urls
GUI-Net-Video
A collection of video URLs for GUI-related tasks, organized by platform or application.
This dataset provides the video URLs collected for TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents — a framework that turns multimodal web tutorials (including YouTube videos) into large-scale GUI agent trajectories. Each URL is paired with a GUI task description (the .txt filename) and grouped by platform/app.
- Paper: arXiv:2504.12679
- Project: tongui-agent.github.io
- Code: TongUI-agent/TongUI-agent
Stats: 32 platforms · 2,627 task files · 126,506 URLs (~2 MB as urls.zip)
Structure
urls/
├── {Platform}/ # e.g. Youtube, Chrome, Google, Windows, ...
│ └── {Task name}.txt # one URL per line
Each .txt file is named after a GUI task (e.g. Viewing search results.txt) and contains one YouTube (or related) URL per line.
Platforms
31 platforms/apps are included: Alibaba, Amazon, Android, Aol_search, Baidu, Bing, Chrome, Discord, Etsy, Excel, Facebook, Github, Google, Instagram, Linkedin, MATLAB, Macos, Notion, PPT, Pinterest, Reddit, Telegram, Tiktok, Twitter, Ubuntu, VScode, Wechat, Whatsapp, Windows, Word, Yandex, Youtube.
Usage
from pathlib import Path
for txt in Path("urls").rglob("*.txt"):
platform = txt.relative_to("urls").parts[0]
task = txt.stem
urls = [line.strip() for line in txt.read_text().splitlines() if line.strip()]
print(platform, task, len(urls))