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{ "honesty": "100% synthetic bilingual Permit-to-Work corpus. No real permits, incidents, PII, or named facilities. Zones/equipment tags are fictional and partly reused from the PetroSafe RAG demo unit for portfolio consistency. About 20% of permits deliberately mismatch free text vs structured flags to simulate docu...
{ "accuracy": 0.888, "macro_f1": 0.8660594730892965, "confusion_matrix": { "labels": [ "low", "medium", "high", "critical" ], "matrix": [ [ 30, 0, 0, 0 ], [ 1, 47, 4, 4 ], [ 1,...
{ "accuracy": 1, "macro_f1": 1 }
{ "n_pairs": 260, "n_conflict": 130, "n_no_conflict": 130, "conflict_rate": 0.5, "rule_breakdown": { "SIMOPS-01": 26, "SIMOPS-02": 26, "SIMOPS-03": 26, "SIMOPS-04": 26, "SIMOPS-05": 26 }, "note": "SIMOPS conflict checking is a deterministic rule engine (src/permitguard/rules.py), not a...
[ { "method": "ContractGuard hybrid TF-IDF + Logistic Regression (Aria AI sibling product)", "finding": "Site claim: 92% clause-classification accuracy and 100% recall on high-risk clauses, on a synthetic bilingual contract-clause corpus.", "citation": "Aria AI ContractGuard product page / Hugging Face Sp...
2.7

PermitGuard — Synthetic Bilingual Permit-to-Work Samples

Part of the Aria AI oil, gas & petrochemical technical-validation portfolio (Aria SafeOps → Control of Work / PTW). Companion model: alirezaaminzadeh/permitguard-risk-classifier and Space: alirezaaminzadeh/permitguard-ptw-risk-classifier.

Data honesty

This corpus is 100% synthetic. There are no real permits, incidents, PII, contractors, or named facilities. Equipment tags such as T-402 / V-101 / P-205B are fictional placeholders reused from the sibling PetroSafe RAG demo unit for portfolio consistency. About 19.2% of permits deliberately mismatch free text vs structured flags (the text claims a precaution that the form did not actually complete, or vice versa) — this is a designed documentation-gap feature, not a generator bug.

Files

File Rows Description
permits.parquet 620 Structured PTW fields + bilingual free text + rule-derived risk_level / fired_rules
simops_pairs.parquet 260 Balanced conflict / no-conflict pairs (5 SIMOPS rules), with JSON of both permit records
eval_results.json — Held-out text-classifier metrics + SIMOPS distribution
benchmark_report.json — Headline KPIs + methodology note
manifest.json — Split IDs, work types, risk levels

Split: 495 train / 125 test, stratified by risk_level. Non-compliant (at least one risk rule fired): 34.2%.

Related

MIT · Aria AI Engineering Team

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