Improve dataset card with metadata and description

README.md

@@ -18,8 +18,31 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- image-to-text
+license: apache-2.0
+tags:
+  - arabic
+  - ocr
+  - document-understanding
+  - multi-domain
+  - benchmark
 ---
 
-**Please see paper & code for more information:**
-- https://github.com/mbzuai-oryx/KITAB-Bench
-- https://arxiv.org/abs/2502.14949
+# KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding
+
+KITAB-Bench is a comprehensive benchmark for evaluating Arabic OCR and document understanding. It covers 9 key tasks across 9 major domains and 36 sub-domains, including text recognition (OCR), layout detection, table recognition, PDF-to-Markdown conversion, chart-to-DataFrame extraction, diagram-to-JSON extraction, and Visual Question Answering (VQA).  The dataset includes over 8,809 samples with high-quality human-labeled annotations.  Novel evaluation metrics are introduced to accurately assess performance across these diverse tasks.
+
+**Key Features:**
+
+- 9 major domains & 36 sub-domains across 8,809 samples.
+- Diverse document types: PDFs, handwritten text, structured tables, financial & legal reports.
+- Evaluation across OCR, layout detection, table recognition, chart extraction, & PDF conversion.
+- Novel evaluation metrics: MARS, TEDS, SCRM, CODM.
+
+
+**For more details, including the complete methodology, evaluation metrics, and results, please refer to:**
+
+- **Paper:** [KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding](https://arxiv.org/abs/2502.14949)
+- **Code:** [https://github.com/mbzuai-oryx/KITAB-Bench](https://github.com/mbzuai-oryx/KITAB-Bench)
+- **Project Page:** [https://mbzuai-oryx.github.io/KITAB-Bench/](https://mbzuai-oryx.github.io/KITAB-Bench/)