| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: image | |
| dtype: image | |
| - name: texts | |
| sequence: string | |
| - name: bboxes_block | |
| sequence: | |
| sequence: float64 | |
| - name: bboxes_line | |
| sequence: | |
| sequence: float64 | |
| - name: categories | |
| sequence: int64 | |
| - name: page_hash | |
| dtype: string | |
| - name: original_filename | |
| dtype: string | |
| - name: page_no | |
| dtype: int64 | |
| - name: num_pages | |
| dtype: int64 | |
| - name: image_width | |
| dtype: int64 | |
| - name: image_height | |
| dtype: int64 | |
| - name: collection | |
| dtype: string | |
| - name: doc_category | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 166529577.0 | |
| num_examples: 400 | |
| download_size: 162656888 | |
| dataset_size: 166529577.0 | |
| license: apache-2.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - image-segmentation | |
| **Please see paper & code for more information:** | |
| - https://github.com/mbzuai-oryx/KITAB-Bench | |
| - https://arxiv.org/abs/2502.14949 | |
| KITAB-Bench is a comprehensive multi-domain benchmark for Arabic OCR and document understanding. It includes tasks such as text recognition (OCR), layout detection, line detection and recognition, table recognition, PDF-to-markdown conversion, chart-to-dataframe conversion, diagram-to-JSON conversion, and visual question answering (VQA). The dataset contains a wide range of document types from various domains, with high-quality human-labeled annotations. See the [project website](https://mbzuai-oryx.github.io/KITAB-Bench/) for more details. |