L
ENT-00001114 · Evaluation System

LongBench

LongBench is a long-context language model benchmark associated with THUDM.

Level IV — ConnectedActiveStructured
Human readable record

Overview

LongBench is a documented long-context language model 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

  1. 2023LongBench public release or documentation

    LongBench appears in public documentation as a long-context language model benchmark associated with THUDM.

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 LongBench. 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
LongBench
Created or maintained byTHUDM

LongBench is associated with THUDM.

Machine readable layer

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

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    "url": "entity.php?id=ENT-00001114",
    "sameAs": "https://github.com/THUDM/LongBench",
    "lxkeysWorld": {
        "classification": "Long-context language model benchmark",
        "organization": "THUDM",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
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        },
        "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"
        },
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            "Evaluation reference",
            "Comparable measurement",
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            "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": [
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            "Evaluation",
            "Documentation",
            "Contemporary",
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}
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