cua-lite/Lite.ScaleCUA.wip
cua-lite/Lite.ScaleCUA.wip TEMP resume coordination (raw; delete after merge) Origin Load via datasets from datasets import load_dataset # entire dataset ds = load_dataset("cua-lite/Lite.ScaleCUA.wip") # just one named subset (config) ds = load_dataset("cua-lite/Lite.ScaleCUA.wip", "desktop.use.rl") You can also filter by metadata.platform / metadata.task_type / metadata.others.* after loading; every row carries a rich metadata struct (see schema… See the full description on the dataset page: https://huggingface.co/datasets/cua-lite/Lite.ScaleCUA.wip.
Remove 38 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Upload Lite.ScaleCUA.wip batch 6
Upload Lite.ScaleCUA.wip batch 5
Upload Lite.ScaleCUA.wip batch 4
Upload Lite.ScaleCUA.wip batch 3
Upload Lite.ScaleCUA.wip batch 2
Upload Lite.ScaleCUA.wip batch 1
Remove 7 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Remove 50 stale file(s) from prior push
Upload Lite.ScaleCUA.wip batch 5
Upload Lite.ScaleCUA.wip batch 4
Upload Lite.ScaleCUA.wip batch 3
Upload Lite.ScaleCUA.wip batch 2
Upload Lite.ScaleCUA.wip batch 1
Upload Lite.ScaleCUA.wip batch 6
Upload Lite.ScaleCUA.wip batch 5
Upload Lite.ScaleCUA.wip batch 4
Upload Lite.ScaleCUA.wip batch 3
Upload Lite.ScaleCUA.wip batch 2
Upload Lite.ScaleCUA.wip batch 1
initial commit