Dataset · Hugging Face

whooray/belebele

Name: belebele
Creator: whooray
Keywords: task_categories:question-answering, task_categories:zero-shot-classification, task_categories:text-classification, task_categories:multiple-choice, language:af, language:am, language:ar, language:az, language:as, language:bm, language:bn, language:bo, language:bg, language:ca, language:cs

The Belebele Benchmark for Massively Multilingual NLU Evaluation Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short passage from the FLORES-200 dataset. The human annotation procedure was carefully curated to create questions that… See the full description on the dataset page: https://huggingface.co/datasets/whooray/belebele.

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Author / organization	whooray
Downloads	164 (as reported by Hugging Face)
Likes	0
Created	2 March 2026
Last updated at source	2 March 2026

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17 Oct 2026 Description: The Belebele Benchmark for Massively Multilingual NLU Evaluation Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models → The Belebele Benchmark for Massively Multilingual NLU Evaluation Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models

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