Datasets:
File size: 904 Bytes
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---
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) |