Update README.md

README.md

@@ -16,4 +16,88 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- text-generation
+language:
+- ar
+size_categories:
+- 1K<n<10K
 ---
+
+# SadeedDiac-25: A Benchmark for Arabic Diacritization
+
+**SadeedDiac-25** is a comprehensive and linguistically diverse benchmark specifically designed for evaluating Arabic diacritization models. It unifies Modern Standard Arabic (MSA) and Classical Arabic (CA) in a single dataset, addressing key limitations in existing benchmarks.
+
+## Overview
+
+Existing Arabic diacritization benchmarks tend to focus on either Classical Arabic (e.g., Fadel, Abbad) or Modern Standard Arabic (e.g., CATT, WikiNews), with limited domain diversity and quality inconsistencies. SadeedDiac-25 addresses these issues by:
+
+- Combining MSA and CA in one dataset
+- Covering diverse domains (e.g., news, religion, politics, sports, culinary arts)
+- Ensuring high annotation quality through a multi-stage expert review process
+- Avoiding contamination from large-scale pretraining corpora
+
+## Dataset Composition
+
+SadeedDiac-25 consists of 1,200 paragraphs:
+
+- **📘 50% Modern Standard Arabic (MSA)**
+
+  - 454 paragraphs of curated original MSA content
+  - 146 paragraphs from WikiNews
+  - Length: 40–50 words per paragraph
+
+- **📗 50% Classical Arabic (CA)**
+
+  - 📖 600 paragraphs from the Fadel test set
+
+## Evaluation Results
+
+We evaluated several models on SadeedDiac-25, including proprietary LLMs and open-source Arabic models. Evaluation metrics include Diacritic Error Rate (DER), Word Error Rate (WER), and hallucination rates.
+The evaluation code for this dataset is available at: https://github.com/misraj-ai/Sadeed
+
+### Evaluation Table
+
+| Model                    | DER (CE)   | WER (CE)   | DER (w/o CE) | WER (w/o CE) | Hallucinations |
+| ------------------------ | ---------- | ---------- | ------------ | ------------ | -------------- |
+| Claude-3-7-Sonnet-Latest | **1.3941** | **4.6718** | **0.7693**   | **2.3098**   | **0.821**      |
+| GPT-4                    | 3.8645     | 5.2719     | 3.8645       | 10.9274      | 1.0242         |
+| Gemini-Flash-2.0         | 3.1926     | 7.9942     | 2.3783       | 5.5044       | 1.1713         |
+| *Sadeed*                 | *7.2915*   | *13.7425*  | *5.2625*     | *9.9245*     | *7.1946*       |
+| Aya-23-8B                | 25.6274    | 47.4908    | 19.7584      | 40.2478      | 5.7793         |
+| ALLaM-7B-Instruct        | 50.3586    | 70.3369    | 39.4100      | 67.0920      | 36.5092        |
+| Yehia-7B                 | 50.8801    | 70.2323    | 39.7677      | 67.1520      | 43.1113        |
+| Jais-13B                 | 78.6820    | 99.7541    | 60.7271      | 99.5702      | 61.0803        |
+| Gemma-2-9B               | 78.8560    | 99.7928    | 60.9188      | 99.5895      | 86.8771        |
+| SILMA-9B-Instruct-v1.0   | 78.6567    | 99.7367    | 60.7106      | 99.5586      | 93.6515        |
+
+> **Note**: CE = Case Ending
+
+
+## Citation
+
+If you use SadeedDiac-25 in your work, please cite:
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@misc{aldallal2025sadeedadvancingarabicdiacritization,
+      title={Sadeed: Advancing Arabic Diacritization Through Small Language Model}, 
+      author={Zeina Aldallal and Sara Chrouf and Khalil Hennara and Mohamed Motaism Hamed and Muhammad Hreden and Safwan AlModhayan},
+      year={2025},
+      eprint={2504.21635},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2504.21635}, 
+}
+```
+
+
+## License
+
+📄 This dataset is released under the CC BY-NC-SA 4.0 License.
+
+## Contact
+
+📬 For questions, contact [Misraj-AI](https://misraj.ai/) on Hugging Face.