update README file

README.md

@@ -1,109 +1,40 @@
 ---
 configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: image
-    dtype: image
-  - name: output
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2440808481
-    num_examples: 22435
-  - name: validation
-    num_bytes: 329337240
-    num_examples: 2804
-  - name: test
-    num_bytes: 328649745
-    num_examples: 2805
-  download_size: 3127169673
-  dataset_size: 3098795466
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train-*
+      - split: validation
+        path: data/validation-*
+      - split: test
+        path: data/test-*
 ---
+
 # Arabic-Image2Html Dataset
 
-A dataset of **28K image-HTML pairs** for training OCR models to transform Arabic documents into structured and semantic HTML.
+A dataset of **28K image-HTML pairs** for training OCR models to transform Arabic documents into structured HTML.
 
 ## Dataset Description
 
-This dataset was created to address the lack of available open-source Arabic OCR datasets with image-to-semantic HTML pairs. It contains diverse Arabic document images paired with clean, semantic HTML output.
-
-### Dataset Composition
-
-The dataset consists of two main components:
-
-**1. Web-Scraped Wikipedia Content (~13K samples, 46%)**
-- Extracted from Arabic Wikipedia articles
-- Post-processed HTML with only semantic tags preserved
-- Screenshots captured with real styling using Playwright
-- Cleaned structure with proper semantic elements (section, header, main, etc.)
-
-**2. Synthetically Generated Documents (~15K samples, 54%)**
-- HTML documents rendered into images using CSS styling
-- Mimics various real-world document types:
-  - Historical manuscripts
-  - Newspaper articles
-  - Scientific papers
-  - Invoices
-  - Recipes
-  - And more (~13 formats total)
-- Diverse layouts, styles, noise levels, fonts, and text flows
-- Filled with plain Arabic text from open datasets
-- Multiple semantic tag combinations (footer, table, section, etc.)
-
-### Features
-
-- **Total samples:** 28,000 image-HTML pairs
-- **Language:** Arabic
-- **Output format:** Semantic HTML (clean tags without id, class attributes)
-- **Document diversity:** Multiple formats and layouts
+This dataset contains Arabic document images paired with semantic HTML output. It includes diverse document types and layouts for training image-to-HTML models.
 
 ## Usage
 
-### Loading the Dataset
-
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("OussamaBenSlama/arabic-image2html")
+dataset = load_dataset("abdouuu/arabic-image2html")
 ```
 
+## Dataset Stats
 
-## Limitations
-
-- Limited examples with diacritical marks (tashkeel), which may affect model performance on texts with extensive diacritics
-- Wikipedia samples share similar design patterns
-- Synthetic generation may not capture all real-world document variations
-
-## Related Resources
-
-- **Model:** [Alef-OCR-Image2Html](https://huggingface.co/OussamaBenSlama/Alef-OCR-Image2Html)
-- **Training Notebooks:** [Github Repository](https://github.com/OussamaBenSlama/Alef-OCR-Image2Html)
-
-## Citation
-
-```bibtex
-@misc{arabic_image2html_2025,
-  title={Arabic-Image2Html: A Dataset for Arabic OCR to Semantic HTML},
-  author={Oussama Ben Slama},
-  year={2025},
-  howpublished={Hugging Face Datasets},
-  url={https://huggingface.co/datasets/OussamaBenSlama/arabic-image2html}
-}
-```
+- **Total samples:** 28,044
+- **Train:** 22,435 examples
+- **Validation:** 2,804 examples
+- **Test:** 2,805 examples
+- **Language:** Arabic
+- **Output format:** Semantic HTML
 
 ## License
 
-Apache2.0
-## Acknowledgments
-
-This work builds upon the excellent research by the NAMAA community and their state-of-the-art Qari-OCR model.
+Apache 2.0