Datasets › Arabic Text Diacritization

Arabic Text Diacritization

Introduced by Ali Fadel et al. in Arabic Text Diacritization Using Deep Neural Networks archive 2025-07-28

Extracted from the Tashkeela Corpus, the dataset consists of 55K lines containing about 2.3M words.

Source: https://github.com/AliOsm/arabic-text-diacritization

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Arabic Text Diacritization Tashkeela CBHG model Diacritic Error Rate 0.0113 Effective Deep Learning Models for Automatic... almodhfer/Arabic_Diacritization 6 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 17. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Tashkeela
  • Arabic Text Diacritization

2 variant names, as the archive lists them.

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