Dataset · Hugging Face

mteb/flores

Name: flores
Creator: mteb
Keywords: task_categories:translation, annotations_creators:human-annotated, multilinguality:multilingual, language:ace, language:acm, language:acq, language:aeb, language:afr, language:ajp, language:aka, language:als, language:amh, language:apc, language:arb, language:ars

FloresBitextMining An MTEB dataset Massive Text Embedding Benchmark FLORES is a benchmark dataset for machine translation between English and low-resource languages. Task category t2t Domains Non-fiction, Encyclopaedic, Written Reference https://huggingface.co/datasets/facebook/flores How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["FloresBitextMining"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/flores.

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Author / organization	mteb
Downloads	2.2K (as reported by Hugging Face)
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Created	14 May 2024
Last updated at source	4 May 2025

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