Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002937",
"name": "QuAC",
"alternateName": [],
"additionalType": "Dataset",
"description": "QuAC is a language dataset / benchmark associated with Allen Institute for AI / University of Washington.",
"creator": "Allen Institute for AI / University of Washington",
"url": "entity.php?id=ENT-00002937",
"sameAs": "https://quac.ai/",
"lxkeysWorld": {
"classification": "Language Dataset / Benchmark",
"organization": "Allen Institute for AI / University of Washington",
"originContext": "Language model evaluation and NLP data",
"firstPublicAppearance": "2018",
"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",
"NLP",
"Benchmark",
"Language Understanding"
],
"timeline": [
{
"date": "2018",
"title": "Public release or documentation",
"description": "QuAC appears in public documentation, project records, benchmark descriptions or research references associated with Allen Institute for AI / University of Washington."
}
],
"relationships": [
{
"target": "Allen Institute for AI / University of Washington",
"type": "Associated organization",
"description": "Allen Institute for AI / University of Washington is the organization, project community or institutional context associated with QuAC.",
"evidence_level": "documentary"
},
{
"target": "Language model evaluation and NLP data",
"type": "Domain context",
"description": "QuAC belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
"evidence_level": "documentary"
}
],
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{
"label": "Official or reference source",
"url": "https://quac.ai/",
"source_type": "Primary / Reference Source",
"verification_status": "verified"
}
]
}
}