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Dataset · Hugging Face

olaverse/diacbench

DiacBench (v2) An 11-language benchmark for diacritics, tone-mark and Arabic vowel-mark restoration, built by Olaverse Lab to evaluate diacnet, diactag and any other diacritic restoration system on equal footing. Each config contains 1,000 sentence pairs: a diacritic-stripped input and a correctly diacritized reference. The task is to reconstruct the reference from the input. from datasets import load_dataset ds = load_dataset("olaverse/diacbench", "yo", split="test") #… See the full description on the dataset page: https://huggingface.co/datasets/olaverse/diacbench.

Author / organizationolaverse
License (as declared)cc-by-2.0
Downloads167 (as reported by Hugging Face)
Likes0
Created14 July 2026
Last updated at source4 October 2026
diacriticsdiacritizationaccent-restorationtone-restorationtashkeelbenchmarkafrican-languagesnigerian-languagesarabicolaverse
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