alucent/mirror-WebWorldData
WebWorldData š 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.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone elseās repository from here would need an authorised integration and the account holderās consent, so the link goes to the source instead.
Open discussions on Hugging Face