ENT-00001116 · Dataset

Needle In A Haystack

Needle In A Haystack is a long-context retrieval test associated with Greg Kamradt.

Level IV — ConnectedActiveStructured

Human readable record

Overview

Needle In A Haystack is a documented long-context retrieval test 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

2023Needle In A Haystack public release or documentation
Needle In A Haystack appears in public documentation as a long-context retrieval test associated with Greg Kamradt.

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 Needle In A Haystack. 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

DatasetEvaluationDocumentationContemporaryBatch 03 Candidate

Relationship graph

Needle In A Haystack

Created or maintained byGreg Kamradt

Needle In A Haystack is associated with Greg Kamradt.

Machine readable layer

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

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    "url": "entity.php?id=ENT-00001116",
    "sameAs": "https://github.com/gkamradt/LLMTest_NeedleInAHaystack",
    "lxkeysWorld": {
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        "organization": "Greg Kamradt",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
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            "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",
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        },
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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."
        ],
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}

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