Sign inGet started
Dataset · Hugging Face

facebook/belebele

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 discriminate… See the full description on the dataset page: https://huggingface.co/datasets/facebook/belebele.

Author / organizationfacebook
Downloads37.3K (as reported by Hugging Face)
Likes139
Created1 September 2023
Last updated at source12 August 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/fb7f6e93-f08a-4a3c-bca5-9718ca09ba7d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from facebook

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.