ENT-00001106 · Evaluation System

XNLI

XNLI is a cross-lingual nli benchmark associated with Facebook AI Research.

Level IV — ConnectedDocumentedStructured

Human readable record

Overview

XNLI is a documented cross-lingual nli benchmark used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Timeline

2018XNLI public release or documentation
XNLI appears in public documentation as a cross-lingual nli benchmark associated with Facebook AI Research.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.

Technical and registry detail

Technical description

Structured reference record for XNLI. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Controlled tags

BenchmarkEvaluationDocumentationEstablishedBatch 03 Candidate

Relationship graph

XNLI

Created or maintained byFacebook AI Research

XNLI is associated with Facebook AI Research.

Machine readable layer

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

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    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001106",
    "name": "XNLI",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "XNLI is a cross-lingual nli benchmark associated with Facebook AI Research.",
    "creator": "Facebook AI Research",
    "url": "entity.php?id=ENT-00001106",
    "sameAs": "https://github.com/facebookresearch/XNLI",
    "lxkeysWorld": {
        "classification": "Cross-lingual NLI benchmark",
        "organization": "Facebook AI Research",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2018",
        "currentStatus": "Documented",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Evaluation reference",
            "Comparable measurement",
            "Research reproducibility",
            "Model documentation support"
        ],
        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
        "tags": [
            "Benchmark",
            "Evaluation",
            "Documentation",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "XNLI public release or documentation",
                "description": "XNLI appears in public documentation as a cross-lingual nli benchmark associated with Facebook AI Research."
            }
        ],
        "relationships": [
            {
                "target": "Facebook AI Research",
                "type": "Created or maintained by",
                "description": "XNLI is associated with Facebook AI Research.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "XNLI public reference",
                "url": "https://github.com/facebookresearch/XNLI",
                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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