T
ENT-00001601 · AI Benchmark

TREC

TREC is a text retrieval evaluation conference associated with NIST.

Level IV — ConnectedHistoricalDocumented
Human readable record

Overview

TREC is a documented AI dataset or benchmark associated with NIST. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

  1. 1992TREC public documentation anchor

    TREC appears in public documentation or stable reference sources as a text retrieval evaluation conference associated with NIST.

Capabilities

Data recordEvaluationTechnical reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.
Technical and registry detail

Technical description

Structured record for TREC. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://trec.nist.gov/.

Controlled tags

DatasetBenchmarkAI Infrastructure
Relationship graph
TREC
Published byNIST

TREC is associated with NIST through its documented source context.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001601",
    "name": "TREC",
    "alternateName": [],
    "additionalType": "AI Benchmark",
    "description": "TREC is a text retrieval evaluation conference associated with NIST.",
    "creator": "NIST",
    "url": "entity.php?id=ENT-00001601",
    "sameAs": "https://trec.nist.gov",
    "lxkeysWorld": {
        "classification": "text retrieval evaluation conference",
        "organization": "NIST",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "1992",
        "currentStatus": "Historical",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data record",
            "Evaluation",
            "Technical reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "AI Infrastructure"
        ],
        "timeline": [
            {
                "date": "1992",
                "title": "TREC public documentation anchor",
                "description": "TREC appears in public documentation or stable reference sources as a text retrieval evaluation conference associated with NIST."
            }
        ],
        "relationships": [
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                "type": "Published by",
                "description": "TREC is associated with NIST through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "TREC official site",
                "url": "https://trec.nist.gov/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

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