Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002731",
"name": "TUDatasets",
"alternateName": [],
"additionalType": "Dataset",
"description": "TUDatasets is a graph / scientific ml dataset associated with TU Dortmund University.",
"creator": "TU Dortmund University",
"url": "entity.php?id=ENT-00002731",
"sameAs": "https://chrsmrrs.github.io/datasets/",
"lxkeysWorld": {
"classification": "Graph / Scientific ML Dataset",
"organization": "TU Dortmund University",
"originContext": "Graph and scientific machine learning",
"firstPublicAppearance": "2020",
"currentStatus": "Active",
"registryStatus": "Documented",
"spatiumIndex": {
"total": 82,
"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 19,
"level": "Level V — Persistent"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-17T01:48:33+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"updated_utc": "2026-06-17T01:48:33+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"reviewed_utc": "2026-06-17T01:48:33+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
},
"capabilities": [
"Dataset reference",
"Benchmark or training-data context",
"Task-level documentation",
"Model evaluation support",
"Source-based traceability"
],
"limitations": [
"Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.",
"Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
],
"tags": [
"Dataset",
"Graph Learning",
"Scientific AI",
"Benchmark"
],
"timeline": [
{
"date": "2020",
"title": "Public release or documentation",
"description": "TUDatasets appears in public documentation, project records, benchmark descriptions or research references associated with TU Dortmund University."
}
],
"relationships": [
{
"target": "TU Dortmund University",
"type": "Associated organization",
"description": "TU Dortmund University is the organization, project community or institutional context associated with TUDatasets.",
"evidence_level": "documentary"
},
{
"target": "Graph and scientific machine learning",
"type": "Domain context",
"description": "TUDatasets belongs to the Graph and scientific machine learning layer of the intelligent-entity registry.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "Official or reference dataset page",
"url": "https://chrsmrrs.github.io/datasets/",
"source_type": "Primary / Reference Source",
"verification_status": "verified"
}
]
}
}