QU
ENT-00002937 · Jeu de données

QuAC

QuAC is a dataset associated with Allen Institute for AI / University of Washington, classified in LXKeys.world as Language / Training Dataset.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

QuAC is a documented language dataset or benchmark. It is recorded as question answering in context dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Chronologie

  1. 2018Initial dataset release

    QuAC entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Dataset referenceBenchmark or training-data contextTask-level documentationModel evaluation supportSource-based traceability

Limites connues

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.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for QuAC. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Allen Institute for AI / University of Washington. Canonical source anchor: https://quac.ai/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

DatasetNLPBenchmarkLanguage Understanding
Graphe relationnel

QuAC

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QuAC
Organisation associéeSortante
Allen Institute for AI / University of Washington

Allen Institute for AI / University of Washington is the organization, project community or institutional context associated with QuAC.

Contexte de domaineSortante
Language model evaluation and NLP data

QuAC belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002937",
    "name": "QuAC",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "QuAC is a dataset associated with Allen Institute for AI / University of Washington, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Allen Institute for AI / University of Washington",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002937&lang=fr",
    "sameAs": "https://quac.ai/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002937",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Allen Institute for AI / University of Washington",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "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"
        },
        "facts": [],
        "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": "Initial dataset release",
                "description": "QuAC entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://quac.ai/",
                "verification_status": "source_backed_official"
            }
        ],
        "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"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://quac.ai/",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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