Dataset · Hugging Face

mikaberidze/belebele-ftp

Name: belebele-ftp
Creator: mikaberidze
Keywords: task_categories:multiple-choice, task_categories:text-generation, language:af, language:am, language:ar, language:az, language:as, language:bm, language:bn, language:bo, language:bg, language:ca, language:cs, language:ku, language:da

Belebele-FTP A first-token-prediction (FTP) reframing of facebook/belebele. Each example is a single text sequence ending in Answer： (fullwidth U+FF1A, no trailing space) so a model can predict the answer as one token (A/B/C/D). Format matches lm-evaluation-harness's belebele template byte-for-byte. Format Example (eng_Latn): P: <passage> Q: <question> A: <choice 1> B: <choice 2> C: <choice 3> D: <choice 4> Answer： Schema: question_id: int, text: str… See the full description on the dataset page: https://huggingface.co/datasets/mikaberidze/belebele-ftp.

View on Hugging FaceReport an issue

Author / organization	mikaberidze
Downloads	202 (as reported by Hugging Face)
Likes	0
Created	1 May 2026
Last updated at source	18 May 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/112f50cd-46a0-44b4-bdd5-d2634c39e514" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 5 days

202 now (-22 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from mikaberidze

mikaberidze/sib200-xlmr-tokenizedDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.