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---
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/) |