rafmacalaba/datause-agents-v3
datause-agents-v3 — data-use mentions Annotation workflow Labels are agent-produced under the project data-use doctrine; they are not owner rulings. The training and holdout splits are unchanged. Validation review refresh The val labels in both gliner and gliner2 were refreshed on 2026-09-29T17:54:34+00:00 using the gliner_val_review passage-review lane and shards 01–04. The review covered 1,260 passages and 2,171 candidate mentions drawn from… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/datause-agents-v3.
Refresh GLiNER and GLiNER2 validation labels from reviewed candidate lane
Describe local LLM human-in-loop annotation workflow
Clarify human-in-the-loop data annotation workflow
Update holdout with audited agent labels
raw-extraction build (model predictions, no judge)
initial commit