README.md

metadata

title: Hadith Segmentation
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 6.31.0
app_file: app.py
pinned: false
license: mit
short_description: Split a raw hadith into sanad and matn
models:
  - SHK4K/hadith-segmentation-bert
language:
  - ar
tags:
  - hadith
  - sanad
  - matn
  - arabic
  - token-classification
  - digital-humanities

فاصل الحديث — Hadith Splitter

يقسم نص حديث خام (بدون علامات ترقيم هيكلية) إلى سند (سلسلة الرواة) ومتن (قول النبي صلى الله عليه وسلم)، ويعرض الحدود بينهما بالألوان على النص الأصلي.

Splits a raw hadith string into its sanad (chain of narrators) and matn (the saying itself), and highlights the boundary on the original text.

• Model: SHK4K/hadith-segmentation-bert (AraBERT v02 fine-tuned for token classification)
• Labels: B-SANAD, I-SANAD, B-MATN, I-MATN, reduced to a single cut
• Diacritics are stripped for inference (the model was trained undiacritized) and mapped back, so the output keeps your original vocalized text
• Long hadiths: processed in overlapping 512-token windows (stride 128) with per-word majority voting, so nothing is truncated
• Output strings are sliced from your original text, so punctuation and spacing are preserved

Limits

• Accuracy is limited on unusual orthography; the model was trained on normalized Arabic, and the app normalizes before inference.
• Pastes longer than ~25k subword tokens are processed only up to that point.
• The model is small (0.1B); treat the boundary as a suggestion on low-resource texts, not ground truth.