README.md

---
language:
- en
license: apache-2.0
tags:
- geospatial
- agent-benchmark
- jurisdictional-routing
- geometry-validation
- delegation-chain
- gdpr
- eu-ai-act
- h3
- gns-protocol
pretty_name: GEIANT Geospatial Agent Benchmark
size_categories:
- n<1K
task_categories:
- text-classification
- question-answering
---

# GEIANT Geospatial Agent Benchmark

**The first benchmark dataset for geospatial AI agent orchestration.**

Built on the [GNS Protocol](https://gcrumbs.com) — the decentralized identity system that proves humanity through Proof-of-Trajectory.

## Overview

Every AI orchestrator (LangChain, CrewAI, AutoGPT) routes tasks based on capability and availability. None of them understand *where* the task originates, *what regulatory framework* governs that location, or *whether the geometry the agent produced is actually valid*.

GEIANT fixes this. This benchmark tests three capabilities no other orchestrator has:

| Capability | What it tests |
|---|---|
| **Jurisdictional Routing** | H3 cell → country → regulatory framework → agent selection |
| **Geometry Mutation Integrity** | Multi-step geometry workflows with injected corruption |
| **Delegation Chain Validation** | Human→agent authorization cert validity |

## Dataset Statistics

**Total records:** 40

### By Family
| Family | Count |
|---|---|
| `jurisdictional_routing` | 14 |
| `geometry_mutation` | 11 |
| `delegation_chain` | 15 |

### By Difficulty
| Difficulty | Count |
|---|---|
| `easy` | 16 |
| `medium` | 13 |
| `hard` | 4 |
| `adversarial` | 7 |

### By Expected Outcome
| Outcome | Count |
|---|---|
| `route_success` | 15 |
| `reject_delegation` | 10 |
| `reject_geometry` | 7 |
| `reject_no_ant` | 4 |
| `reject_tier` | 2 |
| `reject_no_jurisdiction` | 1 |
| `flag_boundary_crossing` | 1 |

## Schema

Each record is a `DatasetRecord` with the following fields:

```typescript
{
  id: string;                    // UUID
  family: DatasetFamily;         // which benchmark
  description: string;           // human-readable scenario description
  input: object;                 // the task/cert/geometry submitted
  expected_outcome: string;      // what GEIANT should do
  ground_truth: {
    expected_ant_handle?: string;
    expected_country?: string;
    expected_frameworks?: string[];
    geometry_valid?: boolean;
    delegation_valid?: boolean;
    explanation: string;         // WHY this is the correct answer
  };
  difficulty: string;            // easy | medium | hard | adversarial
  tags: string[];
}
```

## Regulatory Frameworks Covered

| Framework | Jurisdiction | Max Autonomy Tier |
|---|---|---|
| GDPR | EU | trusted |
| EU AI Act | EU | trusted |
| eIDAS2 | EU | certified |
| FINMA | Switzerland | certified |
| Swiss DPA | Switzerland | certified |
| UK GDPR | United Kingdom | trusted |
| US EO 14110 | United States | sovereign |
| CCPA | California, USA | sovereign |
| LGPD | Brazil | trusted |
| PDPA-SG | Singapore | trusted |
| Italian Civil Code | Italy | trusted |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("GNS-Foundation/geiant-geospatial-agent-benchmark")

# Filter by family
routing = ds.filter(lambda x: x["family"] == "jurisdictional_routing")

# Filter by difficulty
adversarial = ds.filter(lambda x: x["difficulty"] == "adversarial")

# Get all rejection scenarios
rejections = ds.filter(lambda x: x["expected_outcome"].startswith("reject_"))
```

## Geospatial Moat

This dataset uses **H3 hexagonal hierarchical spatial indexing** (Uber H3) at resolution 5–9. Each agent is assigned a territory as a set of H3 cells. Routing validates that the task origin cell is contained within the agent's territory — not just lat/lng bounding boxes.

The H3 cells in this dataset are generated from real coordinates:

```python
import h3
rome_cell = h3.latlng_to_cell(41.902, 12.496, 7)
# → '871e805003fffff'
```

## Citation

```bibtex
@dataset{geiant_benchmark_2026,
  author    = {Ayerbe, Camilo},
  title     = {GEIANT Geospatial Agent Benchmark},
  year      = {2026},
  version   = {0.1.0},
  publisher = {GNS Foundation / ULISSY s.r.l.},
  url       = {https://huggingface.co/datasets/GNS-Foundation/geiant-geospatial-agent-benchmark}
}
```

## License

Apache 2.0 — free for research and commercial use.

---

*Built with [GEIANT](https://github.com/GNS-Foundation/geiant) — Geo-Identity Agent Navigation & Tasking.*
*Part of the [GNS Protocol](https://gcrumbs.com) ecosystem.*