---
license: cc0-1.0
task_categories:
  - tabular-classification
size_categories:
  - 1K<n<10K
---

# Graph Topology Benchmark

Synthetic graph topology data for network analysis.

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("network-robustness-team/graph-topology-benchmark")
df = dataset["train"].to_pandas()
```

Or use the provided loader:

```python
from loader import load_data

df = load_data()
```

## Schema

### Metrics

| Column | Type | Description |
|--------|------|-------------|
| path_redundancy | float | Normalized metric |
| clustering_coefficient | float | Normalized metric |
| capacity_margin | float | Normalized metric |
| robustness_score | float | Normalized metric |

### Categorical Variables

| Column | Type | Description |
|--------|------|-------------|
| topology | string | Categorical variable |
| node_count_range | string | Categorical variable |

## Statistics

- **Rows**: 1000
- **Columns**: 6

## License

CC0 1.0 Universal (Public Domain)

---

*Note: The network breathes through its many lungs.*