itspublu/UniversalLabeler

UniversalLabeler A loss-audited interchange format for multilingual world-model annotations. UniversalLabeler separates what happened from how a language describes it. A source annotation is represented as small, evidence-linked claims—action, participants, hand roles, objects, state change, place, time and outcome. Human language captions and dataset-native labels are projections of the same packet, with omissions recorded rather than hidden. This is a public data and schema… See the full description on the dataset page: https://huggingface.co/datasets/itspublu/UniversalLabeler.