GoEmotions

Structured entry data for human tools, AI systems and machine clients.

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    "@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=en",
    "sameAs": "https://github.com/google-research/google-research/tree/master/goemotions",
    "image": "",
    "lxkeysWorld": {
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        "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"
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        "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.",
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            {
                "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.",
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                "url": "https://github.com/google-research/google-research/tree/master/goemotions",
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