M
ENT-00001674 · AI Dataset

MultiNLI

MultiNLI is a natural language inference dataset associated with NYU.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

MultiNLI 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. 2018MultiNLI public documentation anchor

    MultiNLI appears in public documentation or stable reference sources as a natural language inference dataset associated with NYU.

Capabilities

Data resourceEvaluation supportResearch 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 MultiNLI. 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://cims.nyu.edu/~sbowman/multinli/.

Controlled tags

DatasetBenchmarkEvaluation
Relationship graph
MultiNLI
Published byNYU

MultiNLI 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-00001674",
    "name": "MultiNLI",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "MultiNLI is a natural language inference dataset associated with NYU.",
    "creator": "NYU and collaborators",
    "url": "entity.php?id=ENT-00001674",
    "sameAs": "https://cims.nyu.edu/~sbowman/multinli/",
    "lxkeysWorld": {
        "classification": "natural language inference dataset",
        "organization": "NYU",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "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 resource",
            "Evaluation support",
            "Research 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",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "MultiNLI public documentation anchor",
                "description": "MultiNLI appears in public documentation or stable reference sources as a natural language inference dataset associated with NYU."
            }
        ],
        "relationships": [
            {
                "target": "NYU",
                "type": "Published by",
                "description": "MultiNLI is associated with NYU through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official dataset or benchmark reference",
                "url": "https://cims.nyu.edu/~sbowman/multinli/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

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