README.md

---
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/<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`:

```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.