maveriq/DocBank

Dataset Overview

Dataset Name

• Name: DocBank

Dataset Summary

• Summary: DocBank is a large‑scale dataset built with weak supervision to provide integrated text and layout information for downstream tasks. It contains 500,000 document pages, with 400,000 for training, 50,000 for validation, and 50,000 for testing.

Supported Tasks

• Task: Document AI (text and layout)

Language

• Language: English

Dataset Structure

• Data Instances: Information to be added.
• Data Fields:
  • image
  • token
  • bounding_box
  • color
  • font
  • label

Data Splits

• Training Set: 400,000 instances
• Validation Set: 50,000 instances
• Test Set: 50,000 instances

Dataset Creation

• License: Apache 2.0
• Contributors: @doc-analysis

Citation

title={DocBank: A Benchmark Dataset for Document Layout Analysis},
author={Minghao Li and Yiheng Xu and Lei Cui and Shaohan Huang and Furu Wei and Zhoujun Li and Ming Zhou},
year={2020},
eprint={2006.01038},
archivePrefix={arXiv},
primaryClass={cs.CL}