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@ArchaText

ArchaText

ArchaText is a research initiative focused on multimodal understanding and restoration of Arabic historical documents

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  1. AraMS-28k-Dataset AraMS-28k-Dataset Public

    The largest publicly released line-level dataset of historical Arabic manuscripts — 14 books, 3,043 pages, 28,600 lines, with margin/insertion-anchor annotations for non-linear reading order.

    Python 1

  2. AraMS-Restore AraMS-Restore Public

    Line-level restoration of degraded Arabic manuscripts: a U-Net that makes damaged handwriting readable, scored by whether an OCR model can read it.

    Python 1

  3. ArMas28k-OCR-Restoraion-Platform ArMas28k-OCR-Restoraion-Platform Public

    Python

  4. Reflam-pipeline Reflam-pipeline Public

    Reference-grounded annotation pipeline for historical manuscripts — MLLM OCR + fuzzy alignment against clean transcriptions, with a provable confidence-100 correctness guarantee.

    HTML

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