sosa-pii-ner-ae-v1.0.0

Regional PII named entity recognition model for UAE documents. Part of the SOSA DevOps Privacy Filter — a local-first, privacy-preserving AI runtime for developers. Weights are Apache 2.0. No cloud required.

🔗 Source code: SOSA DevOps on GitHub 🌐 Product: sovereignsystems.cc

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Model summary

Fine-tuned from urchade/gliner_large-v2.1 on synthetic UAE PII data. Detects Emirates IDs, Tax Registration Numbers (TRN), Tax Identification Numbers (TIN), UAE mobile and workplace phone numbers in Arabic and Arabic-English mixed documents.

Intended use: Local PII detection within the SOSA DevOps Privacy Filter sidecar. Text never leaves the user's machine.

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Labels

Label	Description	Format	Validator
ae_emirates_id	UAE Emirates ID (رقم الهوية)	784-YYYY-NNNNNNN-C (15 digits)	Prefix 784 + birth year
ae_trn	Tax Registration Number	15 digits	Length validation
ae_tin	Tax Identification Number	10 digits	Length validation
ae_phone_mobile	UAE mobile phone	05X-XXX-XXXX (10 digits)	Operator prefix (050/052/054/055/056/058)
ae_phone_office	UAE office/fixed phone	0X-XXX-XXXX (9 digits)	Area code validation

Global labels also carried (defence-in-depth): email, phone_e164, credit_card, passport_generic, ipv4_public

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Evaluation — v1.0.0 gate results

Label	F1	Gate
ae_emirates_id	0.9425	≥ 0.85 ✅
ae_trn	0.8421	≥ 0.80 ✅

First-run gate pass (T1). Training: D-AE-1 dataset, 10,000 steps, A40 GPU, 2026-05-28/29.

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Limitations

• TRN/TIN numeric collision: Both labels are long numeric sequences. Context (VAT/TRN vs TIN/e-invoicing keywords) disambiguates.
• Arabic script context: Trained on Arabic and English keyword contexts. Pure transliterated-only contexts may underperform.
• Context-gated: Bare values without surrounding context are unreliable.

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Training data

Synthetic UAE PII examples only. No real resident or employee data used. Arabic and English context templates included.

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Integrity

pytorch_model.bin SHA-256:

c7ef875f4563519e3aab189aec244a2e444bb231e230404f68f6004ed5567be6

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License

Apache 2.0 — inherited from urchade/gliner_large-v2.1. Fine-tuned by Sovereign Systems. See LICENSE.