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{
  "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"
  ]
}