PC
ENT-00002824 · Benchmark

Project CodeNet

Project CodeNet is a AI benchmark associated with IBM Research, classified in LXKeys.world as AI Benchmark / Evaluation.

Level V PersistentActiveDocumented
Human 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

  1. 2021Initial benchmark release

    Project CodeNet entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.

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 structured detail

Technical description

Structured LXKeys.world registry record for Project CodeNet. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: IBM Research. Canonical source anchor: https://developer.ibm.com/exchanges/data/all/project-codenet/. 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.

Controlled tags

BenchmarkCode IntelligenceSoftware EngineeringEvaluation
Relationship graph

Project CodeNet

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Project CodeNet
Associated organizationOutgoing
IBM Research

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

Domain contextOutgoing
Code and data reasoning evaluation

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

Machine readable layer

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

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    "url": "https://lxkeys.world/entry.php?id=ENT-00002824&lang=en",
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    "image": "",
    "lxkeysWorld": {
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        "originContext": "Code and data reasoning evaluation",
        "firstPublicAppearance": "2021",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
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            "updated_utc": "2026-06-17T01:48:33+00:00",
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        "capabilities": [
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