Where the other chore sets go deep on one task, this one goes wide: contributors film whatever routine upkeep they were doing anyway, so the collection spans cleaning, tidying and the small maintenance jobs that never get a dataset of their own, filmed steadily with faces out of frame in homes on three continents. No task, action or object labels are included and the mix is unfiltered by design; the first label most teams would add is task class. Use it as the long-tail complement to the laundry, dish, counter, drawer and trash sets: those give depth on known tasks; this gives the distribution of everything else a home robot will be asked to do.