README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: answer
      dtype: string
    - name: source
      dtype: string
  splits:
    - name: train
      num_bytes: 2657937
      num_examples: 10
  download_size: 2658912
  dataset_size: 2657937
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
• Code
• Project Page