case_id stringclasses 8
values | title stringclasses 8
values | governance_category stringclasses 6
values | policy unknown | input unknown | expected unknown |
|---|---|---|---|---|---|
regulatory_product_claim_review | Regulatory Product-Claim Review | knowledge_governance | {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "eu-product-claim-review",
"version": 1
},
"profiles": [
"core",
"evidence_governance"
],
"case": {
"id": "eu_product_claim_review",
"purpose": "regulatory_claim_validation",
"jurisdiction": "EU"
},
"rules": [
{
... | {
"objects": [
{
"id": "ema-current",
"source": {
"type": "regulator",
"id": "ema"
},
"jurisdiction": "EU",
"status": "approved",
"authority": "regulatory",
"applicability": "applicable"
},
{
"id": "internal-approved",
"source": {
... | {
"decision_state": "AWAITING_REVIEW",
"admitted_ids": [
"ema-current",
"internal-approved",
"public-commentary"
],
"dispositions": {
"internal-old": "EXCLUDED",
"legal-draft": "QUARANTINED"
}
} |
eu_restricted_data_routing | Restricted EU Data / Model & Geographic Routing | knowledge_and_analysis_governance | {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "eu-restricted-data-routing",
"version": 1
},
"profiles": [
"core",
"model_and_geography"
],
"case": {
"id": "restricted_customer_analysis",
"purpose": "customer_analysis",
"classification": "RESTRICTED",
"jurisdiction":... | {
"objects": [
{
"id": "eu-file-1",
"classification": "RESTRICTED",
"region": "EU",
"status": "active"
}
],
"models": [
{
"id": "external-us",
"provider": "vendor-a",
"region": "us-east",
"deployment": "external",
"approved": true,
"allowed_c... | {
"decision_state": "PERMITTED",
"admitted_ids": [
"eu-file-1"
],
"selected_model": "private-frankfurt"
} |
contamination_control | Knowledge-Pool Contamination & Derivative Invalidation | knowledge_governance | {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "customer-objection-contamination",
"version": 1
},
"profiles": [
"core",
"evidence_governance"
],
"case": {
"id": "customer_objection_analysis",
"purpose": "customer_research"
},
"rules": [
{
"id": "interviews_pri... | {
"objects": [
{
"id": "interview-1",
"source": {
"id": "customer_interviews"
},
"provenance_status": "verified",
"status": "active"
},
{
"id": "crm-1",
"source": {
"id": "crm"
},
"provenance_status": "verified",
"status": "active... | {
"decision_state": "PERMITTED",
"admitted_ids": [
"approved-study",
"crm-1",
"interview-1"
],
"dispositions": {
"synthetic-1": "ISOLATED",
"spam-1": "EXCLUDED",
"draft-1": "QUARANTINED",
"unknown-1": "QUARANTINED",
"old-1": "EXCLUDED"
}
} |
internal_first_strategy | Internal-First Strategic Research | knowledge_and_analysis_governance | {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "internal-first-product-strategy",
"version": 1
},
"profiles": [
"core",
"evidence_governance"
],
"case": {
"id": "product_strategy_analysis",
"purpose": "internal_strategy"
},
"rules": [
{
"id": "internal_primary"... | {
"objects": [
{
"id": "internal-approved",
"source": {
"id": "internal_research"
},
"status": "approved",
"provenance_status": "verified"
},
{
"id": "customer-1",
"source": {
"id": "customer_interviews"
},
"status": "active",
"pr... | {
"decision_state": "QUALIFIED",
"admitted_ids": [
"customer-1",
"industry-1",
"internal-approved",
"web-1"
],
"dispositions": {
"internal-draft": "QUARANTINED",
"unknown-web": "EXCLUDED"
}
} |
human_validation_during_analysis | Human Validation During Analysis | analysis_human_validation | {
"knowledge_policy": {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "analysis_validation",
"version": 1
},
"case": {
"id": "analysis_validation"
},
"rules": [],
"decision": {
"default": "PERMITTED"
},
"audit": {
"required": true
}
}... | {
"objects": [
{
"id": "signal-1",
"status": "approved",
"provenance_status": "verified"
}
],
"analysis_result": {
"id": "ar-1",
"confidence": 0.74,
"summary": "Tentative classification",
"uses_inferred_missing": false
}
} | {
"analysis_state": "AWAITING_VALIDATION",
"consequence": null,
"consequence_status": "NOT_REACHED"
} |
human_decision_boundary | Human Decision Boundary | consequence_decide | {
"knowledge_policy": {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "human_decision_boundary",
"version": 1
},
"case": {
"id": "human_decision_boundary"
},
"rules": [],
"decision": {
"default": "PERMITTED"
},
"audit": {
"required": true
... | {
"objects": [
{
"id": "evidence-1",
"status": "approved",
"provenance_status": "verified"
}
],
"analysis_result": {
"id": "ar-2",
"confidence": 0.93,
"risk": "high",
"summary": "High-risk transaction",
"uses_inferred_missing": false
}
} | {
"analysis_state": "VERIFIED",
"consequence": "DECIDE"
} |
autonomous_machine_action | Autonomous Machine / API Action | consequence_act | {
"knowledge_policy": {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "autonomous_machine_action",
"version": 1
},
"case": {
"id": "autonomous_machine_action"
},
"rules": [],
"decision": {
"default": "PERMITTED"
},
"audit": {
"required": tr... | {
"objects": [
{
"id": "lead-1",
"status": "approved",
"provenance_status": "verified"
}
],
"analysis_result": {
"id": "ar-3",
"confidence": 0.97,
"eligible": true,
"uses_inferred_missing": false
},
"action": {
"type": "crm.add_campaign_member",
"target": "lea... | {
"analysis_state": "VERIFIED",
"consequence": "ACT",
"consequence_status": "AUTHORIZED"
} |
human_approval_then_action | Human Approval Followed by Machine Action | consequence_decide_to_act | {
"knowledge_policy": {
"adgl": {
"version": "0.3"
},
"policy": {
"id": "human_approval_then_action",
"version": 1
},
"case": {
"id": "human_approval_then_action"
},
"rules": [],
"decision": {
"default": "PERMITTED"
},
"audit": {
"required": ... | {
"objects": [
{
"id": "case-file",
"status": "approved",
"provenance_status": "verified"
}
],
"analysis_result": {
"id": "ar-4",
"confidence": 0.98,
"refund_amount": 420,
"uses_inferred_missing": false
},
"human_decision": {
"decision": "APPROVE",
"actor": "m... | {
"analysis_state": "VERIFIED",
"consequence": "ACT",
"path": [
"DECIDE",
"ACT"
],
"consequence_status": "AUTHORIZED"
} |
ADGL Reference Cases and Governance Profiles
This Dataset repository accompanies the AI Data Governance Layer (ADGL) public research project.
ADGL models Knowledge Governance → Analysis Governance → Consequence Governance, with INFORM, DECIDE, and ACT as principal consequence dispositions and Audit + Provenance spanning the complete governance trajectory.
Configurations
reference_cases: eight structured reference cases with policy, input fixture, and expected result.governance_profiles: five illustrative, non-normative domain profiles.
Current integrity status
Toolkit version: 0.5.3
The corresponding reference toolkit reports 25/25 published normative checks plus 11/11 candidate execution-integrity checks.
This dataset is for standards research, independent implementation, conformance experimentation, governance benchmark development, and demonstrations. It is not a training corpus, legal-compliance certification dataset, or production authorization database.
Licensing
This Hugging Face Dataset package contains executable fixtures, schemas, and illustrative profiles released under Apache License 2.0. The separately published ADGL paper/specification uses its own documentation license.
Creator: GBSN Research. For project contact, go to www.gbsnresearch.com and use Contacts.
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