S
ENT-00001092 · Evaluation System

SuperGLUE

SuperGLUE is a advanced language understanding benchmark associated with SuperGLUE authors.

Level IV — ConnectedDocumentedStructured
Human readable record

Overview

SuperGLUE is a documented advanced language understanding benchmark used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Timeline

  1. 2019SuperGLUE public release or documentation

    SuperGLUE appears in public documentation as a advanced language understanding benchmark associated with SuperGLUE authors.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.
Technical and registry detail

Technical description

Structured reference record for SuperGLUE. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Controlled tags

BenchmarkEvaluationDocumentationEstablishedBatch 03 Candidate
Relationship graph
SuperGLUE
Created or maintained bySuperGLUE authors

SuperGLUE is associated with SuperGLUE authors.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "url": "entity.php?id=ENT-00001092",
    "sameAs": "https://super.gluebenchmark.com/",
    "lxkeysWorld": {
        "classification": "Advanced language understanding benchmark",
        "organization": "SuperGLUE authors",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
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            "evidence": 13,
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        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
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            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
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        },
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            "Comparable measurement",
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            "Model documentation support"
        ],
        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
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            "Documentation",
            "Established",
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}
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