WebGym: agent rollout trajectories staged into the canonical cua-lite layout for SFT distillation.

	Origin




	


	Load via datasets

from datasets import load_dataset

ds = load_dataset("cua-lite/WebGym")

ds = load_dataset("cua-lite/WebGym", "browser.use")

After loading, parse metadata as JSON before filtering by metadata_kind, dims, or others.*; every row carries a rich metadata object… See the full description on the dataset page: https://huggingface.co/datasets/cua-lite/WebGym.