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ENT-00001112 · Benchmark

TREC Deep Learning Track

TREC Deep Learning Track is a AI benchmark associated with NIST TREC, classified in LXKeys.world as AI Benchmark / Evaluation.

Level IV ConnectedDocumentedDocumented

Human 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

2019Initial benchmark release
TREC Deep Learning Track entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.

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 structured 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

Open in full graph

TREC Deep Learning Track

Created or maintained byOutgoing

NIST TREC

TREC Deep Learning Track is associated with NIST TREC.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

JSON API Graph JSON

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    "name": "TREC Deep Learning Track",
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    "creator": "NIST TREC",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001112&lang=en",
    "sameAs": "https://trec.nist.gov/data/deep.html",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001112",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
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        "classification": "AI Benchmark / Evaluation",
        "organization": "NIST TREC",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "documentationStatus": "Documented",
        "documentationIndex": {
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            "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",
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        "facts": [],
        "capabilities": [
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            "Comparable measurement",
            "Research reproducibility",
            "Model documentation support"
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        "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",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "Initial benchmark release",
                "description": "TREC Deep Learning Track entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
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        "relationships": [
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                "type": "Created or maintained by",
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        "sources": [
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                "authority": "OFFICIAL",
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                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
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}

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