XFUN is a multilingual form understanding benchmark dataset that includes human-labeled forms with key-value pairs in 7 languages (Chinese, Japanese, Spanish, French, Italian, German, Portuguese).

• XFUN v1.0: https://github.com/doc-analysis/XFUN/releases/tag/v1.0

For the code example, please refer to the LayoutXLM repository.

If you find LayoutXLM useful in your research, please cite the following paper:

@article{Xu2020LayoutXLMMP,
  title         = {LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding},
  author        = {Yiheng Xu and Tengchao Lv and Lei Cui and Guoxin Wang and Yijuan Lu and Dinei Florencio and Cha Zhang and Furu Wei},
  year          = {2021},
  eprint        = {2104.08836},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CL}
}

The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Portions of the source code are based on the transformers project. Microsoft Open Source Code of Conduct

For help or issues using LayoutXLM, please submit a GitHub issue.

For other communications related to LayoutXLM, please contact Lei Cui ([email protected]), Furu Wei ([email protected]).