Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: source | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 6861036.0 | |
| num_examples: 200 | |
| download_size: 5948481 | |
| dataset_size: 6861036.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - image-to-text | |
| language: | |
| - ar | |
| tags: | |
| - ocr | |
| - arabic | |
| license: mit | |
| KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding | |
| This dataset is designed to evaluate the performance of Arabic OCR and document understanding systems. It includes a variety of document types and tasks. | |
| **Please see paper & code for more information:** | |
| - [GitHub Repository](https://github.com/mbzuai-oryx/KITAB-Bench) | |
| - [Project Page](https://mbzuai-oryx.github.io/KITAB-Bench/) | |
| - [arXiv Paper](https://arxiv.org/abs/2502.14949) |