ENT-00002824 · Benchmark

Project CodeNet

Project CodeNet is a code / data reasoning benchmark associated with IBM Research.

Level V — PersistentActiveDocumented

Human readable record

Overview

Project CodeNet is a documented benchmark or dataset used to evaluate code intelligence, program synthesis, debugging, semantic parsing or data reasoning. It is recorded as large-scale code dataset.

Timeline

2021Public release or documentation
Project CodeNet appears in public documentation, project records, benchmark descriptions or research references associated with IBM Research.

Capabilities

Evaluation protocol documentationModel comparison supportTask taxonomy mappingReproducible benchmark anchoringRelationship graph compatibility

Known limitations

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

Technical and registry detail

Technical description

Structured record for Project CodeNet. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

BenchmarkCode IntelligenceSoftware EngineeringEvaluation

Relationship graph

Project CodeNet

Associated organizationIBM Research

IBM Research is the organization, project community or institutional context associated with Project CodeNet.

Domain contextCode and data reasoning evaluation

Project CodeNet belongs to the Code and data reasoning evaluation layer of the intelligent-entity registry.

Machine readable layer

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

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    "creator": "IBM Research",
    "url": "entity.php?id=ENT-00002824",
    "sameAs": "https://developer.ibm.com/exchanges/data/all/project-codenet/",
    "lxkeysWorld": {
        "classification": "Code / Data Reasoning Benchmark",
        "organization": "IBM Research",
        "originContext": "Code and data reasoning evaluation",
        "firstPublicAppearance": "2021",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
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            "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",
            "reviewed_utc": "2026-06-17T01:48:33+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "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": [
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            "Software Engineering",
            "Evaluation"
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        "timeline": [
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}

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