Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002949",
"name": "Adversarial NLI",
"alternateName": [],
"additionalType": "Dataset",
"description": "Adversarial NLI is a language dataset / benchmark associated with Facebook AI Research / UNC / NYU.",
"creator": "Facebook AI Research / UNC / NYU",
"url": "entity.php?id=ENT-00002949",
"sameAs": "https://github.com/facebookresearch/anli",
"lxkeysWorld": {
"classification": "Language Dataset / Benchmark",
"organization": "Facebook AI Research / UNC / NYU",
"originContext": "Language model evaluation and NLP data",
"firstPublicAppearance": "2020",
"currentStatus": "Active",
"registryStatus": "Documented",
"spatiumIndex": {
"total": 82,
"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 19,
"level": "Level V — Persistent"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-17T01:48:33+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"updated_utc": "2026-06-17T01:48:33+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"reviewed_utc": "2026-06-17T01:48:33+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
},
"capabilities": [
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"Benchmark or training-data context",
"Task-level documentation",
"Model evaluation support",
"Source-based traceability"
],
"limitations": [
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"Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
],
"tags": [
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"NLP",
"Benchmark",
"Language Understanding"
],
"timeline": [
{
"date": "2020",
"title": "Public release or documentation",
"description": "Adversarial NLI appears in public documentation, project records, benchmark descriptions or research references associated with Facebook AI Research / UNC / NYU."
}
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"target": "Facebook AI Research / UNC / NYU",
"type": "Associated organization",
"description": "Facebook AI Research / UNC / NYU is the organization, project community or institutional context associated with Adversarial NLI.",
"evidence_level": "documentary"
},
{
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"type": "Domain context",
"description": "Adversarial NLI belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
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}
],
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"label": "Official or reference source",
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]
}
}