QU
ENT-00002826 · Benchmark

QuixBugs

QuixBugs is a AI benchmark associated with QuixBugs contributors, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

QuixBugs is a documented benchmark or dataset used to evaluate code intelligence, program synthesis, debugging, semantic parsing or data reasoning. It is recorded as program repair benchmark.

Chronologie

  1. 2017Initial benchmark release

    QuixBugs entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Evaluation protocol documentationModel comparison supportTask taxonomy mappingReproducible benchmark anchoringRelationship graph compatibility

Limites connues

Benchmark results can become stale as models improve and evaluation protocols evolve.A benchmark measures a defined task scope rather than complete intelligence.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for QuixBugs. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: QuixBugs contributors. Canonical source anchor: https://github.com/jkoppel/QuixBugs. 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

BenchmarkCode IntelligenceSoftware EngineeringEvaluation
Graphe relationnel

QuixBugs

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QuixBugs
Organisation associéeSortante
QuixBugs contributors

QuixBugs contributors is the organization, project community or institutional context associated with QuixBugs.

Contexte de domaineSortante
Code and data reasoning evaluation

QuixBugs belongs to the Code and data reasoning evaluation 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.

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    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002826",
    "name": "QuixBugs",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "QuixBugs is a AI benchmark associated with QuixBugs contributors, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "QuixBugs contributors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002826&lang=fr",
    "sameAs": "https://github.com/jkoppel/QuixBugs",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002826",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "QuixBugs contributors",
        "originContext": "Code and data reasoning evaluation",
        "firstPublicAppearance": "2017",
        "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": [
            "Evaluation protocol documentation",
            "Model comparison support",
            "Task taxonomy mapping",
            "Reproducible benchmark anchoring",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Benchmark results can become stale as models improve and evaluation protocols evolve.",
            "A benchmark measures a defined task scope rather than complete intelligence."
        ],
        "tags": [
            "Benchmark",
            "Code Intelligence",
            "Software Engineering",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Initial benchmark release",
                "description": "QuixBugs entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/jkoppel/QuixBugs",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "QuixBugs contributors",
                "type": "Associated organization",
                "description": "QuixBugs contributors is the organization, project community or institutional context associated with QuixBugs.",
                "evidence_level": "documentary"
            },
            {
                "target": "Code and data reasoning evaluation",
                "type": "Domain context",
                "description": "QuixBugs belongs to the Code and data reasoning evaluation layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://github.com/jkoppel/QuixBugs",
                "source_type": "Research 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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