Dataset · Hugging Face

mteb/MLQARetrieval

Name: MLQARetrieval
Creator: mteb
License: cc-by-sa-3.0
Keywords: task_categories:text-retrieval, task_categories:question-answering, task_ids:multiple-choice-qa, annotations_creators:human-annotated, multilinguality:multilingual, source_datasets:facebook/mlqa, language:ara, language:deu, language:eng, language:hin, language:spa, language:vie, language:zho, license:cc-by-sa-3.0, size_categories:100K<n<1M

MLQARetrieval An MTEB dataset Massive Text Embedding Benchmark MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance. MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between 4 different languages on average.… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MLQARetrieval.

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Author / organization	mteb
License (as declared)	cc-by-sa-3.0
Downloads	3.7K (as reported by Hugging Face)
Likes	2
Created	6 May 2025
Last updated at source	24 February 2026

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