| --- |
| task_categories: |
| - token-classification |
| tags: |
| - ner |
| - span-extraction |
| - data-mentions |
| license: apache-2.0 |
| configs: |
| - config_name: gliner |
| data_files: |
| - split: holdout |
| path: gliner_holdout.jsonl |
| - config_name: to_annotate |
| data_files: |
| - split: holdout_annotate |
| path: to_annotate_holdout_annotate.jsonl |
| - config_name: annotate_paddy |
| data_files: |
| - split: holdout_annotate |
| path: annotate_paddy.jsonl |
| - config_name: annotate_aj |
| data_files: |
| - split: holdout_annotate |
| path: annotate_aj.jsonl |
| - config_name: annotate_aivin |
| data_files: |
| - split: holdout_annotate |
| path: annotate_aivin.jsonl |
| - config_name: annotate_rafael |
| data_files: |
| - split: holdout_annotate |
| path: annotate_rafael.jsonl |
| - config_name: annotate_paddy_part2 |
| data_files: |
| - split: holdout_annotate |
| path: annotate_paddy_part2.jsonl |
| - config_name: annotate_aj_part2 |
| data_files: |
| - split: holdout_annotate |
| path: annotate_aj_part2.jsonl |
| - config_name: annotate_aivin_part2 |
| data_files: |
| - split: holdout_annotate |
| path: annotate_aivin_part2.jsonl |
| - config_name: annotate_rafael_part2 |
| data_files: |
| - split: holdout_annotate |
| path: annotate_rafael_part2.jsonl |
| --- |
| |
| # Data-use-ner (human holdout) |
|
|
| GLiNER-format human-adjudicated holdout: 473 spans — `annotator190` (190, `origin=fcv_pads_east_africa`) + `jdc283` (283, `origin=jdc_operational`). Never trained on. |
|
|
| Source: `rafmacalaba/datause-displacement-reviewed` holdout (`gliner_reviewed` token spans + `readable_reviewed` passages, v2.4 labels) with v3 probe `head_score` (`outputs/gliner_datause_v3_probe_human473.jsonl`). |
|
|
| ## Columns |
|
|
| `text` (full passage = `" ".join(tokenized_text)`; span char offsets index into it) + `tokenized_text` (whitespace tokens) + `ner` (catch-all `DATA_MENTION` word spans; drops are `[]` by convention — truth is `spans[].luna_label`) + traceability `corpus_id`, `page`, `chunk`, `split`, `spans` (per-span `text`, `pred` @ threshold 0.5, `luna_label` 1/0 (v2.4 gold), `human_verdict` agree/disagree/unsure + `human_note` (raw annotator input), `head_score`, `threshold`, char `start`/`end` into `" ".join(tokenized_text)`, `key`, `source`). |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("rafmacalaba/data-use-ner", "gliner", split="holdout") # 473 rows |
| ``` |
|
|
| ```python |
| ann = load_dataset("rafmacalaba/data-use-ner", "to_annotate") # Luna-verdict spans + passages, human_verdict null |
| ``` |
|
|
