| --- |
| task_categories: |
| - token-classification |
| tags: |
| - ner |
| - span-extraction |
| - data-mentions |
| license: apache-2.0 |
| configs: |
| - config_name: gliner |
| data_files: |
| - split: train |
| path: gliner_train.jsonl |
| - split: val |
| path: gliner_val.jsonl |
| - split: holdout |
| path: gliner_holdout.jsonl |
| - config_name: gliner2 |
| data_files: |
| - split: train |
| path: gliner2_train.jsonl |
| - split: val |
| path: gliner2_val.jsonl |
| - split: holdout |
| path: gliner2_holdout.jsonl |
| - config_name: probe_splits |
| data_files: |
| - split: train |
| path: probe_train.jsonl |
| - split: val |
| path: probe_val.jsonl |
| - split: holdout |
| path: probe_holdout.jsonl |
| - config_name: probe_candidates |
| data_files: |
| - split: pool |
| path: probe_candidate_pool.jsonl |
| --- |
| |
| # Datause NER (catch-all DATA_MENTION + probe configs) |
| |
| Catch-all NER views over `rafmacalaba/datause-probe-v3` passages (29,346 spans grouped into passage examples). Single entity type **DATA_MENTION**: every candidate span is tagged, keeps and drops alike — the probe head (not NER tags) owns the keep/drop boundary. No NAMED/DESCRIPTIVE/VAGUE subtypes, no NON_MENTION. |
|
|
| ## Per-origin thresholds (head best-F1, published holdout sweep) |
|
|
| | origin | threshold | |
| |---|---| |
| | `fcv_pads_east_africa` | 0.5 | |
| | `general_prwp` | 0.3 | |
| | `jad_paddy_docs` | 0.3 | |
| | `jdc_operational` | 0.5 | |
| | `refugee_pads` | 0.6 | |
| | `reliefweb` | 0.3 | |
|
|
| ## Columns |
|
|
| - `gliner`: `tokenized_text` + `ner` — every candidate span tagged `DATA_MENTION` (catch-all; keeps and drops alike). |
| - `gliner2`: `input` + `output` (`data_mention` = all span strings). |
| - Keep/drop lives in `spans[].luna_label` + `head_score`/`threshold` traceability, not in tags — the probe head owns that boundary. |
| - Traceability on every row: `corpus_id`, `page`, `chunk`, `split`, `spans` (per-span text, pred, luna_label, head_score, threshold, char offsets, key, source). Luna keep/drop verdicts are preserved in `spans[].luna_label` for audit, but tagging follows the head-threshold operating point. |
|
|
| ## Splits |
|
|
| Doc-disjoint `train` / `val` / `holdout`, inherited from `rafmacalaba/datause-probe-v3` (`outputs/probe_v3_data`), so NER splits match probe splits. See `split_stats.json`. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| gliner = load_dataset("rafmacalaba/datause-ner", "gliner") |
| gliner2 = load_dataset("rafmacalaba/datause-ner", "gliner2") |
| # catch-all supervision: every span is DATA_MENTION: |
| # gliner['train']['ner'] / gliner2['train']['output'] |
| ``` |
|
|
| ## Files |
|
|
| - `gliner_{train,val,holdout}.jsonl`, `gliner2_{train,val,holdout}.jsonl` |
| - `labels.json`, `thresholds.json`, `split_stats.json` |
| - `probe_{train,val,holdout}.jsonl`, `probe_candidate_pool.jsonl`, `probe_split_stats.json` — mirror of `rafmacalaba/datause-probe-v3` (same data, `probe_*` configs) |
|
|
| ## Probe configs (same data as `rafmacalaba/datause-probe-v3`) |
|
|
| ```python |
| splits = load_dataset("rafmacalaba/datause-ner", "probe_splits") |
| cands = load_dataset("rafmacalaba/datause-ner", "probe_candidates") |
| ``` |
|
|
