human473 gliner holdout (annotator190+jdc283)

README.md

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+---
+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
+---
+
+# 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
+
+`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, `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
+```

labels.json

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+{
+  "labels": [
+    "DATA_MENTION"
+  ]
+}