loay/arabic-ocr-synthetic-scans-faker-300k
Arabic OCR Synthetic Scans (Faker 300k) A large-scale synthetic dataset of ~300,000 Arabic book pages generated to mimic real-world scanning imperfections. Designed for training Vision Language Models (VLMs) and OCR engines on structural layout analysis, font recognition, and document degradation robustness. Dataset Summary Samples: ~300,000 synthetic Arabic document pages Image format: JPEG, ~800×1200 px (embedded in Parquet) Text: Ground truth in UTF-8 with… See the full description on the dataset page: https://huggingface.co/datasets/loay/arabic-ocr-synthetic-scans-faker-300k.
| Author / organization | loay |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 617 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 12 February 2026 |
| Last updated at source | 12 February 2026 |
Popularity, last 2 days
617 now (+30 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Arabic-Qwen3.5-OCR-v4-GGUFModel · used to train
- sherif1313/Arabic-Qwen3.5-OCR-v4Model · used to train
Recent changes
- 17 Oct 2026 Description: Arabic OCR Synthetic Scans (Faker 300k) A large-scale synthetic dataset of ~300,000 Arabic book pages generated to mimic real-world scanning imperfections. Designed for training Vision Language Models (VLMs) and OCR engines on structural la → Arabic OCR Synthetic Scans (Faker 300k) A large-scale synthetic dataset of ~300,000 Arabic book pages generated to mimic real-world scanning imperfections. Designed for training Vision Language Models (VLMs) and OCR engines on structural la
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.