ENT-00001673 · AI Dataset

SNLI

SNLI is a natural language inference dataset associated with Stanford University.

Level IV — ConnectedActiveDocumented

Human readable record

Overview

SNLI is a documented AI dataset or benchmark associated with Stanford University. 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

2015SNLI public documentation anchor
SNLI appears in public documentation or stable reference sources as a natural language inference dataset associated with Stanford University.

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 SNLI. 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://nlp.stanford.edu/projects/snli/.

Controlled tags

DatasetBenchmarkEvaluation

Relationship graph

SNLI

Published byStanford University

SNLI is associated with Stanford University through its documented source context.

Machine readable layer

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

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    "creator": "Stanford NLP",
    "url": "entity.php?id=ENT-00001673",
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    "lxkeysWorld": {
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        "organization": "Stanford University",
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        "firstPublicAppearance": "2015",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
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        "lxCalendarium": {
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            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
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            "Evaluation support",
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        ],
        "limitations": [
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            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
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            "Benchmark",
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