---
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)