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.
