FLORES-200
ENT-00001695 · Dataset

FLORES-200

FLORES-200 is a dataset associated with Meta AI, classified in LXKeys.world as Language / Training Dataset.

Level IV ConnectedActiveDocumented
Human 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

  1. 2022Initial dataset release

    FLORES-200 entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Data resourceEvaluation supportResearch reference

Known limitations

Dataset coverage, licensing, annotation quality, representativeness and allowed uses depend on the released version and source terms.Model performance on the dataset does not imply equivalent performance in deployment or on other populations and domains.Dataset revisions, removals or access restrictions can change over time.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for FLORES-200. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Meta AI. Canonical source anchor: https://github.com/facebookresearch/flores. 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.

Controlled tags

DatasetBenchmarkEvaluation
Relationship graph

FLORES-200

Open in full graph
FLORES-200
Published byOutgoing
Meta AI

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

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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Proofs

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