Datasets:
metadata
license: cc0-1.0
task_categories:
- tabular-classification
size_categories:
- 1K<n<10K
Graph Topology Benchmark
Synthetic graph topology data for network analysis.
Usage
from datasets import load_dataset
dataset = load_dataset("network-robustness-team/graph-topology-benchmark")
df = dataset["train"].to_pandas()
Or use the provided loader:
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.