MultiWOZ

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

{
    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002968",
    "name": "MultiWOZ",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "MultiWOZ is a dataset associated with Cambridge Dialogue Systems Group, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Cambridge Dialogue Systems Group",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002968&lang=fr",
    "sameAs": "https://github.com/budzianowski/multiwoz",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002968",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Cambridge Dialogue Systems Group",
        "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": "MultiWOZ entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.",
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                "evidence_level": "documentary"
            },
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                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "MultiWOZ belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
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                "url": "https://github.com/budzianowski/multiwoz",
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                "authority": "TRUSTED_PRIMARY",
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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