Dataset · Hugging Face

Archatext/AraMS-Restore

Name: AraMS-Restore
Creator: Archatext
Keywords: task_categories:image-to-image, language:ar, size_categories:n<1K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, region:us, arabic, manuscripts, historical-documents, document-restoration, image-restoration, handwritten-text-recognition

AraMS-Restore — Real Damaged Arabic Manuscript Lines 177 line images cropped from real damaged pages of a historical Arabic manuscript (book_09), each with its transcription. This is the evaluation input for AraMS-Restore: the restoration models are trained on synthetic degradation, and these lines are the honest test of whether that transfers to genuine manuscript decay. There are no clean counterparts and no ground-truth restored images — the damage is what was on the page.… See the full description on the dataset page: https://huggingface.co/datasets/Archatext/AraMS-Restore.

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Author / organization	Archatext
Downloads	1.1K (as reported by Hugging Face)
Likes	0
Created	3 August 2026
Last updated at source	4 August 2026

arabicmanuscriptshistorical-documentsdocument-restorationimage-restorationhandwritten-text-recognitiondigital-humanities

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