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Arabic Text Diacritization datasets

archive 2025-07-28

3 datasets carry the task tag "Arabic Text Diacritization" (the task itself: Arabic Text Diacritization), ordered by the archive's paper count. Page 1 of 1: 3 shown of 3. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Arabic Text Diacritization datasets 1–3 of 3

Extracted from the Tashkeela Corpus, the dataset consists of 55K lines containing about 2.3M words.
17 papers · 1 benchmark
WikiNews Dataset (WikiNews Arabic Diacritization Benchmark Dataset)
The WikiNews Arabic Diacritization dataset is a test set composed of 70 WikiNews articles (majority are from 2013 and 2014) that cover a variety of themes, namely: politics, economics, health, science and technology, sports, arts, and…
6 papers · 0 benchmarks
CATT (CATT Arabic Diacritization Benchmark Dataset)
The CATT benchmark dataset comprises 742 sentences, which were scraped from an internet news source in 2023.
3 papers · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.