---
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/)