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ENT-00001107 · Evaluation System

XTREME

XTREME is a cross-lingual transfer benchmark associated with Google Research.

Level IV — ConnectedActiveStructured
Human readable record

Overview

XTREME is a documented cross-lingual transfer 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

  1. 2020XTREME public release or documentation

    XTREME appears in public documentation as a cross-lingual transfer benchmark associated with Google 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 XTREME. 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

BenchmarkEvaluationDocumentationContemporaryBatch 03 Candidate
Relationship graph
XTREME
Created or maintained byGoogle Research

XTREME is associated with Google Research.

Machine readable layer

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

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    "name": "XTREME",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "XTREME is a cross-lingual transfer benchmark associated with Google Research.",
    "creator": "Google Research",
    "url": "entity.php?id=ENT-00001107",
    "sameAs": "https://github.com/google-research/xtreme",
    "lxkeysWorld": {
        "classification": "Cross-lingual transfer benchmark",
        "organization": "Google Research",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
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            "relationships": 11,
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        },
        "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",
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        },
        "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": [
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            "Evaluation",
            "Documentation",
            "Contemporary",
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        "timeline": [
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        ]
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}
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