WebWorld
Datasets
All datasets matching “WebWorld”WebWorldData
WebWorldData 🌐
Overview
WebWorldData is a large-scale dataset of 1.06M web interaction trajectories collected from the open web, designed for training browser world models. It is the training data behind the WebWorld model series.
Each trajectory consists of sequences of (state, action, next_state) transitions, where states are represented as A11y Trees extracted from real websites using Playwright.
Dataset Statistics
Total… See the full description on the dataset page: https://huggingface.co/datasets/Qwen/WebWorldData.WebWorld-SFT-10k
WebWorld-SFT-10k
The Browser as a World Model for Self-Improving Web Code — a 10,000-example SFT release from the WebWorld training set.
Each example is a single-turn improvement of an HTML artifact that was accepted by the browser-issued certificate: the browser re-executed the candidate, target progress held, and every previously verified capability was preserved. Rejected trajectories are not in the export.
Why WebWorld
VLM-driven self-improvement of web code… See the full description on the dataset page: https://huggingface.co/datasets/Multilingual-Multimodal-NLP/WebWorld-SFT-10k.WebWorldData_copy
WebWorldData 🌐
Overview
WebWorldData is a large-scale dataset of 1.06M web interaction trajectories collected from the open web, designed for training browser world models. It is the training data behind the WebWorld model series.
Each trajectory consists of sequences of (state, action, next_state) transitions, where states are represented as A11y Trees extracted from real websites using Playwright.
Dataset Statistics
Total… See the full description on the dataset page: https://huggingface.co/datasets/Bigbarry/WebWorldData_copy.mirror-WebWorldData
WebWorldData 🌐
Overview
WebWorldData is a large-scale dataset of 1.06M web interaction trajectories collected from the open web, designed for training browser world models. It is the training data behind the WebWorld model series.
Each trajectory consists of sequences of (state, action, next_state) transitions, where states are represented as A11y Trees extracted from real websites using Playwright.
Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-WebWorldData.