AN
ENT-00002949 · Jeu de données

Adversarial NLI

Adversarial NLI is a dataset associated with Facebook AI Research / UNC / NYU, classified in LXKeys.world as Language / Training Dataset.

Niveau V PersistantActifDocumenté
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Vue d’ensemble

Adversarial NLI is a documented language dataset or benchmark. It is recorded as adversarial natural language inference benchmark, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Chronologie

  1. 2020Initial dataset release

    Adversarial NLI entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Dataset referenceBenchmark or training-data contextTask-level documentationModel evaluation supportSource-based traceability

Limites connues

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.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Adversarial NLI. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Facebook AI Research / UNC / NYU. Canonical source anchor: https://github.com/facebookresearch/anli. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

DatasetNLPBenchmarkLanguage Understanding
Graphe relationnel

Adversarial NLI

Ouvrir dans le graphe complet
Adversarial NLI
Organisation associéeSortante
Facebook AI Research / UNC / NYU

Facebook AI Research / UNC / NYU is the organization, project community or institutional context associated with Adversarial NLI.

Contexte de domaineSortante
Language model evaluation and NLP data

Adversarial NLI belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@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=fr",
    "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"
            }
        ],
        "relationships": [
            {
                "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"
            },
            {
                "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"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://github.com/facebookresearch/anli",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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