IrishCore-GlobalPointer-ContextPII-135M-v1-rc16 is the current expanded-label raw-only PII masking release for Irish public-sector, HSE, and citizen-support flows.

It keeps the same DistilBERT-size GlobalPointer span extractor family as temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc15, but ships a stronger bundled decoder for contextual Irish/English address, location, name, date-of-birth, and age recovery while preserving the broader contextual masking behavior from rc15.

Context labels served by this line:

STREET_ADDRESS
CITY
COUNTY
DATE_OF_BIRTH
AGE

Core labels retained:

PPSN
POSTCODE
PHONE_NUMBER
EMAIL
PASSPORT_NUMBER
ACCOUNT_NUMBER
BANK_ROUTING_NUMBER
SWIFT_BIC
CREDIT_DEBIT_CARD
FIRST_NAME
LAST_NAME

Positioning

rc16 is a decoder-hardening release over rc15.

weights unchanged
ONNX graph unchanged
no external scanner or validator added
deployment path still single-pass span extraction plus deterministic [PII:LABEL] replacement

What changed in rc16:

contextual DOB recovery now covers longer-cue prose and calendar formats like 14 March 1987, 14 March, 1987, March 14 1987, and 01/02/87
age recovery now handles longer-context forms such as Age at last review was 34
contextual address rescue now rejects non-address false positives such as Address: 12 business days, Address: 4 October 2024, and My address is 12 weeks pregnant
globalpointer_context_redteam_v9 is 1.0000 at both IoU 0.5 and exact-boundary matching on full and q8 paths while globalpointer_context_redteam_v8 remains 1.0000

If you only need the narrower Irish-core structured label set and want maximum CPU throughput, temsa/IrishCore-GlobalPointer-135M-v1-rc4 remains the faster option.

Benchmarks

ONNX q8

Suite	F1	Examples/s
Irish core	1.0000	125.5054
Gov contact policy v1	1.0000	74.3676
Gov chatbot red-team v2	0.9861	74.9871
Context red-team v9	1.0000	146.4724
Context red-team v8	1.0000	140.5936
Context red-team v7	1.0000	150.2091
Multilingual PPSN overall	0.9333	120.6708
Multilingual PPSN label-only	1.0000	—
Multilingual PPSN label-only	1.0000	—

Comparison

Model	Core F1	Gov Contact Policy v1 F1	Context Red-team v8 F1	Multilingual F1	Core examples/s
ContextPII rc16 q8	1.0000	1.0000	1.0000	0.9333	68.0709
ContextPII rc15 q8	1.0000	1.0000	1.0000	0.9333	125.5054
ContextPII rc14 q8	1.0000	1.0000	—	0.9333	119.2240

Evaluation Notes

Additional q8 release checks shipped in this repo:

eval/q8_globalpointer_context_redteam_v9.json: contextual regression suite for long-cue DOB recovery, month-first and comma DOB formats, 2-digit-year DOBs, longer-context age recovery, and address false-positive cleanup, 1.0000 F1 in rc16
eval/q8_globalpointer_context_redteam_v8.json: contextual regression suite for lenited Gaelic address cues, business-centre address blocks, generic city/county field cues, city-before-county recovery, and structured-cue hyphenated names, retained at 1.0000 F1 in rc16
eval/q8_globalpointer_context_redteam_v7.json: contextual regression suite for generic county forms inside Irish address blocks, retained at 1.0000 F1 in rc16
eval/q8_globalpointer_context_redteam_v6.json: contextual regression suite for address cue variants, hyphenated DOBs, first-person bare age statements, role-cued lowercase names, and surname fields, retained from rc12
eval/q8_globalpointer_context_redteam_v5.json: contextual regression suite for slash-separated phones and 1-digit dotted/slashed DOB formats, retained from rc11
eval/q8_globalpointer_location_coverage_v1.json, v2, v3: Irish location coverage suites retained from rc9

Usage

python3 inference_mask_onnx.py --model temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc16 --text "My surname is de Búrca, my PPSN is 1234567T, and my address is Árasán 4, Cedar Court, mBaile Átha Cliath, D08 XY12."

Portfolio Comparison

Updated: 2026-03-16.

Use this section for the fastest public comparison across the temsa PII masking portfolio.

The first core table only includes public checkpoints that ship both comparable q8 accuracy and q8 CPU throughput.
The first PPSN table only includes public artifacts that ship comparable PPSN accuracy and CPU throughput.
Missing cells in the archive tables mean the older release did not ship that metric in its public bundle.
DiffMask rows use the reconciled clean_single_pass harness that matches the deployed runtime.
GlobalPointer rows use the public raw-only span-matrix release bundle and its packaged q8 ONNX artifact.
The same content is shipped as PORTFOLIO_COMPARISON.md inside each public model repo.

Irish Core PII: Comparable Public Checkpoints

Repo	Stack	Full Core F1	Q8 Core F1	Q8 Multilingual PPSN F1	Q8 Core ex/s
`temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc6`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	282.9
`temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc5`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	282.9
`temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc3`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	317.9
`temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc2`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	292.5
`temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc1`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	337.3
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc29`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	232.7
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc28`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	232.7
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc25`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	212.1
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc24`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	278.9
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc23`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	237.6
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc22`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	106.8
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc21`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	150.8
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc20`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	181.9
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc19`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	73.1
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc18`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	126.2
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc17`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc16`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc15`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc14`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	119.2
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc13`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	126.1
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc12`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	73.6
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc11`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	94.1
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc10`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.8
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc9`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	119.8
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc8`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	128.9
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc7`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	89.0
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc6`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	89.0
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc5`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	84.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc4`	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9333	61.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc3`	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9333	61.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc2`	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9222	61.5
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc1`	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9222	61.5
`temsa/IrishCore-GlobalPointer-135M-v1-rc4`	GlobalPointer raw-only span-matrix	1.0000	1.0000	0.9333	221.6
`temsa/IrishCore-GlobalPointer-135M-v1-rc3`	GlobalPointer raw-only span-matrix	1.0000	1.0000	0.9213	204.9
`temsa/IrishCore-GlobalPointer-135M-v1-rc2`	GlobalPointer raw-only span-matrix	0.9934	0.9934	0.9326	231.2
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8`	Raw-only token-span	0.9737	0.9737	0.9176	46.1
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7`	Hybrid classifier + generated scanner spec	1.0000	0.9934	1.0000	30.0
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc6`	Hybrid classifier + repair decoders	1.0000	0.9934	1.0000	29.5
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc5`	Hybrid classifier + repair decoders	0.9737	0.9669	0.9333	34.4
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4`	Hybrid classifier + repair decoders	0.9870	0.9740	0.9600	114.2
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc3`	Hybrid classifier + repair decoders	0.9806	0.9677	0.9333	44.9
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2`	Hybrid classifier + repair decoders	0.9554	0.9615	0.7887	119.1
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1`	Hybrid classifier baseline	0.9530	0.9333	0.9882	103.3
`temsa/IrishCore-DiffMask-135M-v1-rc6`	DiffMask token-span, scanner-free	0.9801	0.9733	0.9274	130.3
`temsa/IrishCore-DiffMask-135M-v1-rc5`	DiffMask token-span, scanner-free	0.9733	0.9733	0.9379	249.2
`temsa/IrishCore-DiffMask-135M-v1-rc4`	DiffMask token-span, scanner-free	0.9733	0.9733	0.9371	29.5
`temsa/IrishCore-DiffMask-135M-v1-rc3`	DiffMask token-span, scanner-free	0.9664	0.9664	0.9591	30.0
`temsa/IrishCore-DiffMask-135M-v1-rc2`	DiffMask token-span, scanner-free	0.9664	0.9664	0.9212	247.1
`temsa/IrishCore-DiffMask-135M-v1-rc1`	DiffMask token-span, scanner-free	0.9801	0.9934	0.9412	251.2

Irish Core PII: Other Public Checkpoints

Repo	Stack	Full Core F1	Q8 Core F1	Q8 Multilingual PPSN F1	Notes
`temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc1`	Hybrid classifier prototype	0.9487	—	—	Predates the public q8 artifact.

Finance-boundary q8 F1 is 1.0000 for OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc6, OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7, OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8, and all public IrishCore-DiffMask releases from rc1 to rc6. OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc5 ships 0.8750 on that public q8 suite.

PPSN-Only: Comparable Public Artifacts

Repo	Artifact	Irish Large F1	Multilingual PPSN F1	User Raw F1	QA v8 F1	CPU ex/s
`temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1`	fp32 canonical checkpoint	0.8979	0.9704	0.8000	0.7385	57.4
`temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1-fp16`	fp16 CPU/GPU artifact	—	0.9704	0.8000	0.7385	45.8
`temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1-q8`	dynamic int8 CPU artifact	—	0.9040	—	—	132.1

PPSN-Only: Historical Public Checkpoints

Repo	Main Published Metrics	Notes
`temsa/OpenMed-PPSN-mLiteClinical-v1`	same as canonical fp32 repo: multilingual 0.9704, user raw 0.8000	Legacy alias; prefer `temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1`.
`temsa/OpenMed-PPSN-v6-raw-rc2`	irish_reg_v5 0.8750; user_raw 0.8000; qa_v8 0.7385	Raw PPSN-only research checkpoint; no packaged multilingual CPU benchmark row.
`temsa/OpenMed-PPSN-v5_1`	irish_large_v2 raw 0.9285; qa_v6 hybrid strict 1.0000	Hybrid PPSN-only checkpoint; predates the canonical multilingual suite packaging.
`temsa/OpenMed-PPSN-v5`	irish_reg_v5 raw 0.8235; irish_reg_v5 hybrid strict 1.0000	Hybrid PPSN-only checkpoint; predates the canonical multilingual suite packaging.
`temsa/OpenMed-PPSN-v4`	synthetic non-PPSN drift check only	Predates the current PPSN eval suite; no packaged apples-to-apples multilingual CPU row.

If you need the strongest current raw-only Irish core model, start with IrishCore-GlobalPointer-135M-v1-rc4. If you need the fastest CPU-first raw-only line, compare it against IrishCore-DiffMask-135M-v1-rc6. If you need a PPSN-only artifact, compare the canonical fp32, fp16, and q8 variants of OpenMed-mLiteClinical-IrishPPSN-135M-v1 directly in the table above.