ICDAR 2021 Challenge task b test set

The test set is composed of the following files:

1. final_eval.zip contains the images of the tables
2. final_eval.json contains the ground truth used in the evaluation of the challenge. The ground truth did not include b tags that typically highlight text in bold. This was considered during the evaluation of the challenge. If you use the TEDS tools to evaluate your output, please consider the option ignore_nodes as in the following example teds = TEDS(n_jobs=args.threads, ignore_nodes='b').

You need to install and setup git lfs to access the files, please consider the instructions here.

ICDAR 2021 Challenge journal article:

@inproceedings{jimeno2021icdar,
  title={ICDAR 2021 Competition on Scientific Literature Parsing},
  author={Jimeno Yepes, Antonio and Zhong, Peter and Burdick, Douglas},
  booktitle={International Conference on Document Analysis and Recognition},
  pages={605--617},
  year={2021},
  organization={Springer}
}

PubTabNet article:

@inproceedings{zhong2020image,
  title={Image-based table recognition: data, model, and evaluation},
  author={Zhong, Xu and ShafieiBavani, Elaheh and Jimeno Yepes, Antonio},
  booktitle={European Conference on Computer Vision},
  pages={564--580},
  year={2020},
  organization={Springer}
}