EM
ENT-00002964 · Jeu de données

EmpatheticDialogues

EmpatheticDialogues is a dataset associated with Meta AI, classified in LXKeys.world as Language / Training Dataset.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

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

Chronologie

  1. 2019Initial dataset release

    EmpatheticDialogues entered the documented public record in 2019. 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 EmpatheticDialogues. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Meta AI. Canonical source anchor: https://github.com/facebookresearch/EmpatheticDialogues. 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

EmpatheticDialogues

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EmpatheticDialogues
Organisation associéeSortante
Meta AI

Meta AI is the organization, project community or institutional context associated with EmpatheticDialogues.

Contexte de domaineSortante
Language model evaluation and NLP data

EmpatheticDialogues 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-00002964",
    "name": "EmpatheticDialogues",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "EmpatheticDialogues is a dataset associated with Meta AI, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Meta AI",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002964&lang=fr",
    "sameAs": "https://github.com/facebookresearch/EmpatheticDialogues",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002964",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Meta AI",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2019",
        "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": "2019",
                "title": "Initial dataset release",
                "description": "EmpatheticDialogues entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/facebookresearch/EmpatheticDialogues",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Associated organization",
                "description": "Meta AI is the organization, project community or institutional context associated with EmpatheticDialogues.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000033"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "EmpatheticDialogues 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://github.com/facebookresearch/EmpatheticDialogues",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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