ENT-00001112 · Evaluation System

TREC Deep Learning Track

TREC Deep Learning Track is a neural ir evaluation track associated with NIST TREC.

Level IV — ConnectedDocumentedStructured

Human readable record

Overview

TREC Deep Learning Track is a documented neural ir evaluation track 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

2019TREC Deep Learning Track public release or documentation
TREC Deep Learning Track appears in public documentation as a neural ir evaluation track associated with NIST TREC.

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 TREC Deep Learning Track. 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

DatasetEvaluationDocumentationEstablishedBatch 03 Candidate

Relationship graph

TREC Deep Learning Track

Created or maintained byNIST TREC

TREC Deep Learning Track is associated with NIST TREC.

Machine readable layer

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

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    "identifier": "ENT-00001112",
    "name": "TREC Deep Learning Track",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "TREC Deep Learning Track is a neural ir evaluation track associated with NIST TREC.",
    "creator": "NIST TREC",
    "url": "entity.php?id=ENT-00001112",
    "sameAs": "https://trec.nist.gov/data/deep.html",
    "lxkeysWorld": {
        "classification": "Neural IR evaluation track",
        "organization": "NIST TREC",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "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": [
            "Dataset",
            "Evaluation",
            "Documentation",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "TREC Deep Learning Track public release or documentation",
                "description": "TREC Deep Learning Track appears in public documentation as a neural ir evaluation track associated with NIST TREC."
            }
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        "relationships": [
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                "type": "Created or maintained by",
                "description": "TREC Deep Learning Track is associated with NIST TREC.",
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            }
        ],
        "sources": [
            {
                "label": "TREC Deep Learning Track public reference",
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                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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