The INV-CDIP Dataset

Introduction

This is the INV-CDIP dataset used in our paper "Field Extraction from Forms with Unlabeled Data". The dataset contains an unlabeled set and a labeled set. The unlabeled set contains around 200k invoices. The labeled set contains 350 invoices with 7 field annotated including invoice number, purchase order, invoice date, due date, amount due, total amount and total tax.

Download Dataset

• Document ids are stored in train_set.txt and test_set.txt.
• You may browse a document using https://www.industrydocuments.ucsf.edu/docs/$document_id.
• Use the following script to download data automatically.

#install packages
bash install.sh
#download labeled data
python download_data.py --download --split labeled
#download unlabeled data
python download_data.py --download --split unlabeled

Annotation Description

• Annotations are in ./annotation folder.

  • In each json file, field label is annotated in ['Fields']['value']['label'].

  • Field value is annotated in ['Fields']['value']['tag'].

  • Field value location is annotated in ['Fields']['value']['bbox'].

  • The key of a field value is annotated in ['Fields']['key']['tag'].

  • Key location is annotated in ['Fields']['key']['bbox'].

• Use the following script to visualize the annotations.

#visualize annotations
python download_data.py --vis

Citation

Please cite our paper if you use this dataset.

@article{gao2021field,
  title={Field Extraction from Forms with Unlabeled Data},
  author={Gao, Mingfei and Chen, Zeyuan and Naik, Nikhil and Hashimoto, Kazuma and Xiong, Caiming and Xu, Ran},
  journal={ACL Spa-NLP Workshop},
  year={2022}
}

License

The INV-CDIP dataset is released under CC BY-NC 4.0. The underlying documents to which the dataset refers are from the Tobacco Collections of Industry Documents Library. Please see Copyright and Fair Use for more information.

Contact

Please contact [email protected] if you have questions.