ENT-00002975 · Dataset

XNLI Dataset

XNLI Dataset is a language dataset / benchmark associated with Facebook AI Research.

Level V — PersistentActiveDocumented

Human readable record

Overview

XNLI Dataset is a documented language dataset or benchmark. It is recorded as cross-lingual natural language inference dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Timeline

2018Public release or documentation
XNLI Dataset appears in public documentation, project records, benchmark descriptions or research references associated with Facebook AI Research.

Capabilities

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

Known 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.

Technical and registry detail

Technical description

Structured record for XNLI Dataset. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

DatasetNLPBenchmarkLanguage Understanding

Relationship graph

XNLI Dataset

Associated organizationFacebook AI Research

Facebook AI Research is the organization, project community or institutional context associated with XNLI Dataset.

Domain contextLanguage model evaluation and NLP data

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

Machine readable layer

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

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    "name": "XNLI Dataset",
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    "description": "XNLI Dataset is a language dataset / benchmark associated with Facebook AI Research.",
    "creator": "Facebook AI Research",
    "url": "entity.php?id=ENT-00002975",
    "sameAs": "https://github.com/facebookresearch/XNLI",
    "lxkeysWorld": {
        "classification": "Language Dataset / Benchmark",
        "organization": "Facebook AI Research",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2018",
        "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": [
            "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"
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        "timeline": [
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        "relationships": [
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                "type": "Associated organization",
                "description": "Facebook AI Research is the organization, project community or institutional context associated with XNLI Dataset.",
                "evidence_level": "documentary"
            },
            {
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                "type": "Domain context",
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                "evidence_level": "documentary"
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        "sources": [
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                "label": "Official or reference source",
                "url": "https://github.com/facebookresearch/XNLI",
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                "verification_status": "verified"
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}

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