ENT-00001117 · Evaluation System

L-Eval

L-Eval is a long-context evaluation benchmark associated with OpenBMB.

Level IV — ConnectedActiveStructured

Human readable record

Overview

L-Eval is a documented long-context evaluation benchmark used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Timeline

2023L-Eval public release or documentation
L-Eval appears in public documentation as a long-context evaluation benchmark associated with OpenBMB.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.

Technical and registry detail

Technical description

Structured reference record for L-Eval. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Controlled tags

BenchmarkEvaluationDocumentationContemporaryBatch 03 Candidate

Relationship graph

L-Eval

Created or maintained byOpenBMB

L-Eval is associated with OpenBMB.

Machine readable layer

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

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    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001117",
    "name": "L-Eval",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "L-Eval is a long-context evaluation benchmark associated with OpenBMB.",
    "creator": "OpenBMB",
    "url": "entity.php?id=ENT-00001117",
    "sameAs": "https://github.com/OpenLMLab/LEval",
    "lxkeysWorld": {
        "classification": "Long-context evaluation benchmark",
        "organization": "OpenBMB",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Evaluation reference",
            "Comparable measurement",
            "Research reproducibility",
            "Model documentation support"
        ],
        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
        "tags": [
            "Benchmark",
            "Evaluation",
            "Documentation",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "timeline": [
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                "date": "2023",
                "title": "L-Eval public release or documentation",
                "description": "L-Eval appears in public documentation as a long-context evaluation benchmark associated with OpenBMB."
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        "relationships": [
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                "description": "L-Eval is associated with OpenBMB.",
                "evidence_level": "documentary"
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        ],
        "sources": [
            {
                "label": "L-Eval public reference",
                "url": "https://github.com/OpenLMLab/LEval",
                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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