| { |
| "name": "books", |
| "sources": [ |
| { |
| "url": "https://raw.githubusercontent.com/pygod-team/data/main/books.pt.zip", |
| "final_url": "https://raw.githubusercontent.com/pygod-team/data/main/books.pt.zip", |
| "filename": "books.pt.zip", |
| "bytes": 60512, |
| "sha256": "c9de331ddf4c893e205fad552a9d1074c0fe4730edd7b47952f0c05ac360612c", |
| "downloaded_at": "2026-07-23T02:14:16+00:00" |
| } |
| ], |
| "conversion": { |
| "script": "convert_pygod.py", |
| "label_column": "is_outlier", |
| "notes": "PyGOD .pt (torch pickle, trusted pygod-team/data source) via stub unpickling; edge_index symmetrized; 21 x_* feature columns.", |
| "parquet": true |
| }, |
| "graphs": { |
| "default": { |
| "nodes": 1418, |
| "edges": 3695, |
| "label_column": "is_outlier", |
| "classes": 2, |
| "class_counts": { |
| "0": 1390, |
| "1": 28 |
| }, |
| "isolated_nodes": 0, |
| "feature_columns": 21 |
| } |
| }, |
| "title": "Books (PyGOD)", |
| "band": "small", |
| "label_type": "anomaly", |
| "task": "Outlier book detection (Amazon co-purchase)", |
| "license": "MIT (pygod-team/data)", |
| "citation": "Liu et al. BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022 D&B.", |
| "links": [ |
| "https://github.com/pygod-team/data" |
| ] |
| } |
|
|
