GO
ENT-00002963 · Jeu de données

GoEmotions

GoEmotions is a dataset associated with Google Research, classified in LXKeys.world as Language / Training Dataset.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

GoEmotions is a documented language dataset or benchmark. It is recorded as fine-grained emotion classification dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Chronologie

  1. 2020Initial dataset release

    GoEmotions entered the documented public record in 2020. 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 GoEmotions. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Google Research. Canonical source anchor: https://github.com/google-research/google-research/tree/master/goemotions. 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

GoEmotions

Ouvrir dans le graphe complet
GoEmotions
Organisation associéeSortante
Google Research

Google Research is the organization, project community or institutional context associated with GoEmotions.

Contexte de domaineSortante
Language model evaluation and NLP data

GoEmotions 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": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002963",
    "name": "GoEmotions",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "GoEmotions is a dataset associated with Google Research, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Google Research",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002963&lang=fr",
    "sameAs": "https://github.com/google-research/google-research/tree/master/goemotions",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002963",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Google Research",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2020",
        "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": "2020",
                "title": "Initial dataset release",
                "description": "GoEmotions entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/google-research/google-research/tree/master/goemotions",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Google Research",
                "type": "Associated organization",
                "description": "Google Research is the organization, project community or institutional context associated with GoEmotions.",
                "evidence_level": "documentary"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "GoEmotions 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/google-research/google-research/tree/master/goemotions",
                "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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