SW
ENT-00000708 · Research System

SWE-bench

SWE-bench is a research system associated with Princeton NLP, classified in LXKeys.world as AI Research / Specialized System.

Level V PersistentActiveDocumented
Human record

Overview

SWE-bench is documented as a research system, benchmark, dataset or scientific AI record associated with Princeton NLP. It is relevant for benchmark for evaluating AI systems on real software engineering issues. The record helps situate evaluation, discovery, training evidence or scientific capability in the registry graph.

Timeline

  1. 2023Initial research publication or demonstration

    SWE-bench entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Research evaluation or discoveryScientific or benchmark utilityStructured evidence generationModel or system analysis

Known limitations

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for SWE-bench. Entity type: Research System; classification: AI Research / Specialized System; creator/organization context: SWE-bench Team. Canonical source anchor: https://www.swebench.com/. 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

Princeton NLPResearch SystemResearchsoftware
Relationship graph

SWE-bench

Open in full graph
SWE-bench
Associated OrganizationOutgoing
Princeton NLP

Princeton NLP is the organization or ecosystem associated with SWE-bench.

Creator or DeveloperOutgoing
SWE-bench Team

SWE-bench Team is identified as a creator, developer or originating actor for SWE-bench.

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-00000708&lang=en",
    "sameAs": "https://www.swebench.com/",
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        "originContext": "Benchmark",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
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