Datasets:
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
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/<arch>/scenarios/*.json |
Scenario records with embedded decision events |
dataset/architectures/<arch>/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:
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):
# 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:
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
- Code in the canonical repository: Apache-2.0
Citation
@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.
Related projects
| Repository | Role |
|---|---|
| decision-event-schema | Schema whose properties this benchmark scores |
| evidence-sufficiency-calc | Sufficiency scoring used in benchmark evaluation |
| governance-drift-toolkit | Drift monitoring validated by benchmark scenarios |
| evidence-collector-sdk | Produces decision events conforming to the schema |
Provenance
This mirror is synced from tagged releases of governance-evidence/governance-benchmark-dataset by a sync script; the GitHub repository is the source of truth.