M
ENT-00001589 · AI Dataset

MNIST

MNIST is a handwritten digit dataset associated with NYU.

Level IV — ConnectedHistoricalDocumented
Human readable record

Overview

MNIST is a documented AI dataset or benchmark associated with NYU. 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. 1998MNIST public documentation anchor

    MNIST appears in public documentation or stable reference sources as a handwritten digit dataset associated with NYU.

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 MNIST. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: http://yann.lecun.com/exdb/mnist/.

Controlled tags

DatasetBenchmarkAI Infrastructure
Relationship graph
MNIST
Published byNYU

MNIST is associated with NYU 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-00001589",
    "name": "MNIST",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "MNIST is a handwritten digit dataset associated with NYU.",
    "creator": "Yann LeCun and collaborators",
    "url": "entity.php?id=ENT-00001589",
    "sameAs": "http://yann.lecun.com/exdb/mnist/",
    "lxkeysWorld": {
        "classification": "handwritten digit dataset",
        "organization": "NYU",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "1998",
        "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": "1998",
                "title": "MNIST public documentation anchor",
                "description": "MNIST appears in public documentation or stable reference sources as a handwritten digit dataset associated with NYU."
            }
        ],
        "relationships": [
            {
                "target": "NYU",
                "type": "Published by",
                "description": "MNIST is associated with NYU through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "MNIST dataset page",
                "url": "http://yann.lecun.com/exdb/mnist/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

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