| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: answer | |
| dtype: string | |
| - name: source | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 2657937.0 | |
| num_examples: 10 | |
| download_size: 2658912 | |
| dataset_size: 2657937.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - image-to-text | |
| language: | |
| - ar | |
| - en | |
| license: mit | |
| This dataset is part of KITAB-Bench, a comprehensive multi-domain benchmark for Arabic OCR and document understanding. It includes images and corresponding text annotations for various tasks such as text recognition, layout detection, table recognition, and chart extraction. | |
| **Please see paper & code for more information:** | |
| - [Paper](https://huggingface.co/papers/2502.14949) | |
| - [Code](https://github.com/mbzuai-oryx/KITAB-Bench) | |
| - [Project Page](https://mbzuai-oryx.github.io/KITAB-Bench/) |