Adversarial NLI

Structured entry data for human tools, AI systems and machine clients.

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        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002949",
    "name": "Adversarial NLI",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "Adversarial NLI is a dataset associated with Facebook AI Research / UNC / NYU, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Facebook AI Research / UNC / NYU",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002949&lang=en",
    "sameAs": "https://github.com/facebookresearch/anli",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002949",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Facebook AI Research / UNC / NYU",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "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"
        },
        "facts": [],
        "capabilities": [
            "Dataset reference",
            "Benchmark or training-data context",
            "Task-level documentation",
            "Model evaluation support",
            "Source-based traceability"
        ],
        "limitations": [
            "Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.",
            "Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
        ],
        "tags": [
            "Dataset",
            "NLP",
            "Benchmark",
            "Language Understanding"
        ],
        "timeline": [
            {
                "date": "2020",
                "title": "Initial dataset release",
                "description": "Adversarial NLI entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/facebookresearch/anli",
                "verification_status": "source_backed_curated_baseline"
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                "type": "Associated organization",
                "description": "Facebook AI Research / UNC / NYU is the organization, project community or institutional context associated with Adversarial NLI.",
                "evidence_level": "documentary"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "Adversarial NLI belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
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                "url": "https://github.com/facebookresearch/anli",
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                "verification_status": "verified",
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                "role": "code_repository",
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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