datause-probe-v3 / README.md
rafmacalaba's picture
Upload folder using huggingface_hub
2811992 verified
|
Raw History Blame Contribute Delete
2.22 kB
---
license: apache-2.0
configs:
- config_name: splits
data_files:
- split: train
path: train.jsonl
- split: val
path: val.jsonl
- split: holdout
path: holdout.jsonl
- config_name: candidates
data_files:
- split: pool
path: candidate_pool.jsonl
- config_name: quarantine
data_files:
- split: excluded
path: quarantine.jsonl
---
# datause-probe-v3
Probe-v3 training data for the data-use mention probe: **29,346 labeled spans**
(26,618 campaign-v2 Luna single-judge + 2,728 gold-v2), doc-disjoint 70/15/15
splits, all six origins in every split, no passage crosses splits.
## Files
- `train/val/holdout.jsonl` — word-indexed spans (`w_start/w_end` over
`passage.split(" ")`), `label` 1=DATA_MENTION 0=NON_MENTION,
`source` camp2|gold, `head_score` = v2 probe score (triage feature, not label).
- `candidate_pool.jsonl` — the 29,855 candidate spans the labels were drawn
from: full `rafmacalaba/datause-extracted-sample` pool (2,729) + campaign-v2
draw (27,126), unified schema with passages. Slice-verified: 0 mismatches.
- `quarantine.jsonl` — 8 spans excluded from training (7 unresolved echo +
1 bad_json), with reasons. Published, not silently dropped.
- `split_stats.json` — per-split counts, docs, sources, origins.
## Lineage
1. Candidates from `rafmacalaba/datause-extracted` (gliner2), scored by
`rafmacalaba/gliner-datause-v2-probe`.
2. Campaign v2: origin x specificity x 0.1-decile draw (144 cells, floor 50 +
sqrt-proportional, seed 0) → 27,126 single-span keyed Luna requests
(v2.4 rules + v2.5 presentation, prompt `v2.5-draft-2026-09-06`), one run,
no consensus. 500 gold-v2 controls interleaved (94.0% judge-vs-gold
agreement).
3. Echo re-attribution: 965/972 span-echo mismatches resolved as
whitespace/punctuation normalization (single-span requests, reasons
audited); 7 quarantined.
4. `TrainingDataset.validate()`: 29,346 valid / 0 invalid (strict verbatim).
5. `build_probe_v3_data.py`: doc-disjoint splits; controls enter once via gold.
Labels are a Luna distillation target, not human gold. The 473
human-adjudicated spans (`annotator190`/`jdc283`) are NOT in this dataset —
they remain the external check.