WebSTAR: WebVoyager Step-Level Trajectories with Augmented Reasoning
Dataset Description
WebSTAR (WebVoyager Step-Level Trajectories with Augmented Reasoning) is a large-scale dataset for training and evaluating computer use agents with step-level quality scores. This dataset is part of the research presented in "Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering" (He et al., 2025).
Unlike traditional trajectory-level filtering approaches… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/WebSTAR.
