NEExT / citeseer /metadata.json
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{
"name": "citeseer",
"sources": [
{
"url": "https://linqs-data.soe.ucsc.edu/public/lbc/citeseer.tgz",
"final_url": "https://linqs-data.soe.ucsc.edu/public/lbc/citeseer.tgz",
"filename": "citeseer.tgz",
"bytes": 359425,
"sha256": "b02ee7b5d83130f8fd45b59017a76fdae3e998629a1904c2c5e07343a9664685",
"downloaded_at": "2026-07-23T02:14:16+00:00"
}
],
"conversion": {
"script": "convert_linqs.py",
"label_column": "subject",
"dropped_edges_unknown_endpoint": 17,
"notes": "LINQS .content/.cites; 3703 binary bag-of-words feature columns; 17 citation edges dropped (endpoint not in .content); source paper IDs remapped (id_mapping.csv).",
"parquet": true
},
"graphs": {
"default": {
"nodes": 3312,
"edges": 4536,
"label_column": "subject",
"classes": 6,
"class_counts": {
"DB": 701,
"IR": 668,
"Agents": 596,
"ML": 590,
"HCI": 508,
"AI": 249
},
"isolated_nodes": 48,
"feature_columns": 3703
}
},
"title": "Citeseer",
"band": "small",
"label_type": "semantic",
"task": "Paper topic classification (citation network)",
"license": "LINQS research distribution",
"citation": "Sen, Namata, Bilgic, Getoor, Gallagher, Eliassi-Rad. Collective Classification in Network Data. AI Magazine 2008.",
"links": [
"https://linqs.org/datasets/"
]
}