--- license: cc-by-4.0 language: - en pretty_name: Governance Benchmark Dataset tags: - ai-governance - benchmark - decision-evidence - governance-evidence - decision-event-schema - drift-monitoring - evidence-sufficiency size_categories: - n<1K task_categories: - other configs: - config_name: feasibility_matrix data_files: - split: train path: dataset/feasibility_matrices/cross_architecture.parquet --- # Governance Benchmark Dataset Curated benchmark dataset and evaluation harness for comparing governance evidence feasibility across **four decision system architectures**: deterministic rule engines, hybrid ML+rules, streaming feature-driven systems, and agentic AI. > This dataset is the artifact mirror of the benchmark described in *"Governed Auditable > Decisioning Under Uncertainty: Synthesis and Agentic Extension"* (arXiv:2604.19112). > The canonical code repository is on GitHub and the citable archival deposit is on > Zenodo (links below). ## What it contains Eight curated decision scenarios (two per architecture), each carrying a complete [decision-event-schema](https://github.com/governance-evidence/decision-event-schema) record (`schema_version` 0.3.x), a per-property feasibility matrix, and — for the hybrid and agentic architectures — cascade traces of multi-step decision chains. | Path | Content | | ---- | ------- | | `dataset/architectures//scenarios/*.json` | Scenario records with embedded decision events | | `dataset/architectures//metadata.json` | Architecture description and collapse modalities | | `dataset/cascade_traces/*.json` | Multi-step decision chains (hybrid, agentic) | | `dataset/feasibility_matrices/cross_architecture.parquet` | 48-row per-property feasibility table | | `dataset/schemas/*.json` | JSON Schemas for scenarios, traces, and matrices | | `dataset/CHECKSUMS.sha256` | sha256 pins for every committed data file | The feasibility matrix scores each decision-event property per scenario (`architecture_type`, `scenario_id`, `property_name`, `level`, `recovery_cost`, `fillable_ratio`, `opaque_ratio`). ## Loading The flat feasibility matrix loads directly with `datasets`: ```python from datasets import load_dataset matrix = load_dataset("dev404ai/governance-benchmark-dataset", "feasibility_matrix") ``` Scenario records are nested documents; load them with the typed loaders from the canonical repository (validation, frozen dataclasses, scoring included): ```python # pip install "git+https://github.com/governance-evidence/governance-benchmark-dataset" from pathlib import Path from benchmark.loaders.scenario import load_scenarios scenarios = load_scenarios(Path("dataset/architectures/agentic_ai/scenarios")) ``` ## Integrity Every data file is pinned in `dataset/CHECKSUMS.sha256`; the canonical repository enforces the pins in CI. Verify a download from the mirror root with: ```bash shasum -a 256 -c dataset/CHECKSUMS.sha256 ``` ## Scope and responsible use Scenarios are curated, synthetic-but-realistic constructions designed to expose architecture-specific structural breaks (decision diffusion, evidence fragmentation, responsibility ambiguity); they are not records of real incidents or real persons. The benchmark measures the *feasibility of governance evidence*, not the quality of any production system, and is not a compliance certification instrument. ## Licensing - Dataset files: [CC BY 4.0](LICENSE-DATASET) - Code in the canonical repository: Apache-2.0 ## Citation ```bibtex @misc{solozobov2026governedauditable, author = {Solozobov, Oleg}, title = {Governed Auditable Decisioning Under Uncertainty: Synthesis and Agentic Extension}, year = {2026}, eprint = {2604.19112}, archivePrefix = {arXiv}, primaryClass = {cs.CY}, doi = {10.48550/arXiv.2604.19112}, url = {https://arxiv.org/abs/2604.19112} } ``` Software/dataset deposit (concept DOI, resolves to the latest release): [10.5281/zenodo.19248722](https://doi.org/10.5281/zenodo.19248722). ## Related projects | Repository | Role | | ---------- | ---- | | [decision-event-schema](https://github.com/governance-evidence/decision-event-schema) | Schema whose properties this benchmark scores | | [evidence-sufficiency-calc](https://github.com/governance-evidence/evidence-sufficiency-calc) | Sufficiency scoring used in benchmark evaluation | | [governance-drift-toolkit](https://github.com/governance-evidence/governance-drift-toolkit) | Drift monitoring validated by benchmark scenarios | | [evidence-collector-sdk](https://github.com/governance-evidence/evidence-collector-sdk) | Produces decision events conforming to the schema | ## Provenance This mirror is synced from tagged releases of [governance-evidence/governance-benchmark-dataset](https://github.com/governance-evidence/governance-benchmark-dataset) by a sync script; the GitHub repository is the source of truth.