{ "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" ] }