---
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.