ENT-00001695 · Machine Translation Dataset

FLORES-200

FLORES-200 is a multilingual translation benchmark associated with Meta AI.

Level IV — ConnectedActiveConnected

Human readable record

Overview

FLORES-200 is a documented AI dataset or benchmark associated with Meta AI. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

2022FLORES-200 public documentation anchor
FLORES-200 appears in public documentation or stable reference sources as a multilingual translation benchmark associated with Meta AI.

Capabilities

Data resourceEvaluation supportResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for FLORES-200. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/facebookresearch/flores.

Controlled tags

DatasetBenchmarkEvaluation

Relationship graph

FLORES-200

Published byMeta AI

FLORES-200 is associated with Meta AI through its documented source context.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001695",
    "name": "FLORES-200",
    "alternateName": [],
    "additionalType": "Machine Translation Dataset",
    "description": "FLORES-200 is a multilingual translation benchmark associated with Meta AI.",
    "creator": "Meta AI",
    "url": "entity.php?id=ENT-00001695",
    "sameAs": "https://github.com/facebookresearch/flores",
    "lxkeysWorld": {
        "classification": "multilingual translation benchmark",
        "organization": "Meta AI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data resource",
            "Evaluation support",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "FLORES-200 public documentation anchor",
                "description": "FLORES-200 appears in public documentation or stable reference sources as a multilingual translation benchmark associated with Meta AI."
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Published by",
                "description": "FLORES-200 is associated with Meta AI through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official dataset or benchmark reference",
                "url": "https://github.com/facebookresearch/flores",
                "source_type": "Official Repository",
                "verification_status": "verified"
            }
        ]
    }
}

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