CD
ENT-00002830 · Benchmark

CodeContests Dataset

CodeContests Dataset is a AI benchmark associated with DeepMind, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau V PersistantActifDocumenté
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Vue d’ensemble

CodeContests Dataset is a documented benchmark or dataset used to evaluate code intelligence, program synthesis, debugging, semantic parsing or data reasoning. It is recorded as competitive programming dataset.

Chronologie

  1. 2022Initial benchmark release

    CodeContests Dataset entered the documented public record in 2022. 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 CodeContests Dataset. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: DeepMind. Canonical source anchor: https://github.com/google-deepmind/code_contests. 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

CodeContests Dataset

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CodeContests Dataset
Organisation associéeSortante
DeepMind

DeepMind is the organization, project community or institutional context associated with CodeContests Dataset.

Contexte de domaineSortante
Code and data reasoning evaluation

CodeContests Dataset 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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        {
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        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002830",
    "name": "CodeContests Dataset",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "CodeContests Dataset is a AI benchmark associated with DeepMind, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "DeepMind",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002830&lang=fr",
    "sameAs": "https://github.com/google-deepmind/code_contests",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002830",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "DeepMind",
        "originContext": "Code and data reasoning evaluation",
        "firstPublicAppearance": "2022",
        "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": "2022",
                "title": "Initial benchmark release",
                "description": "CodeContests Dataset entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/google-deepmind/code_contests",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "DeepMind",
                "type": "Associated organization",
                "description": "DeepMind is the organization, project community or institutional context associated with CodeContests Dataset.",
                "evidence_level": "documentary"
            },
            {
                "target": "Code and data reasoning evaluation",
                "type": "Domain context",
                "description": "CodeContests Dataset 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/google-deepmind/code_contests",
                "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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