Improve dataset card with description, license, and task category

This PR improves the dataset card by:

- Adding a clear description of the KITAB-Bench dataset.
- Specifying the `task_categories` as `image-to-text`.
- Including a license.
- Adding relevant tags for better discoverability.

The existing metadata regarding data format is retained.

README.md

@@ -18,8 +18,20 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+task_categories:
+- image-to-text
+tags:
+- arabic
+- ocr
+- document-understanding
+- multi-modal
 ---
 
+KITAB-Bench is a comprehensive benchmark for Arabic OCR and document understanding, evaluating performance across multiple domains and tasks, including text recognition, layout detection, table and chart extraction, and more.  It includes 8,809 samples across 9 major domains and features high-quality human-labeled annotations.  This dataset provides image data, source information, and corresponding text transcriptions.
+
+
 **Please see paper & code for more information:**
-- https://github.com/mbzuai-oryx/KITAB-Bench
-- https://arxiv.org/abs/2502.14949
+- [Project Page](https://mbzuai-oryx.github.io/KITAB-Bench/)
+- [GitHub Repository](https://github.com/mbzuai-oryx/KITAB-Bench)
+- [Arxiv Paper](https://arxiv.org/abs/2502.14949)