TabGenie is a toolkit for table-to-text generation – the task of generating a description for the tabular data.

The web interface enables to explore existing table-to-text generation datasets and interact with processing pipelines.

Built using HTML5, CSS, jQuery, Bootstrap 5, Flask, and Huggingface Datasets.

Developers:

• Zdeněk Kasner – kasner (at) ufal.mff.cuni.cz
• Kate Garanina – katgerasimenko (at) gmail.com
• Ondřej Plátek – oplatek (at) ufal.mff.cuni.cz
• Ondřej Dušek – odusek (at) ufal.mff.cuni.cz

The project is being actively developed, please report any issues at https://github.com/kasnerz/tabgenie.

Available as open-source under MIT License.

© 2023 Institute of Formal and Applied Linguistics, Charles University.