Datasets:
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: | |
| - rulings/*.jsonl | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - annotation | |
| - data-mentions | |
| - human-feedback | |
| license: apache-2.0 | |
| # Data-use annotations | |
| Public store of keep/drop rulings from the annotation review app (`human_labeling/review.html`). | |
| ## Files | |
| - `rulings/<annotator>.jsonl` — one file per annotator, one JSON object per ruling: `key` (span UID), `ruling` (`DATA_MENTION` keep / `NON_MENTION` drop), `queue` (gold / sample), `annotator` (required, set in the UI), `ts`. Last write per `(queue, key, annotator)` wins. | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("rafmacalaba/data-use-annotations") # train = rulings.jsonl | |
| ``` | |
| Note: `rulings/_schema.jsonl` is a schema placeholder so the dataset always loads — filter `annotator != "_schema"` in analysis. | |