| --- |
| license: cdla-permissive-2.0 |
| tags: |
| - table structure recognition |
| - table extraction |
| --- |
| |
| # FinTabNet.c |
|
|
| The FinTabNet.c dataset was released in 2023. |
|
|
| You can think of FinTabNet.c as a fork (a modified version, in this case by different authors) of the original FinTabNet dataset. |
|
|
| FinTabNet.c contains: |
| - automated corrections of FinTabNet (such as canonicalization) to correct oversegmentation and to make the dataset more consistent with other TSR datasets, like PubTables-1M |
| - fewer samples than FinTabNet, where samples were removed whose annotations could not be either automatically processed, corrected, or verified |
|
|
| For more details about this version (2023) of the dataset and the adjustments made to the original dataset, please see ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716). |
|
|
| For the code used to create this dataset, see [https://github.com/microsoft/table-transformer](https://github.com/microsoft/table-transformer). |
|
|
| ## Citing |
|
|
| If you use this dataset in your published work, please cite: |
| ``` |
| @article{smock2023aligning, |
| title={Aligning benchmark datasets for table structure recognition}, |
| author={Smock, Brandon and Pesala, Rohith and Abraham, Robin}, |
| booktitle={International Conference on Document Analysis and Recognition}, |
| pages={371--386}, |
| year={2023}, |
| organization={Springer} |
| } |
| ``` |
|
|
| ## About the original FinTabNet dataset |
|
|
| Please see: [https://developer.ibm.com/data/fintabnet/](https://developer.ibm.com/data/fintabnet/) (link last checked September 2023). |
|
|
| ### Original license |
|
|
| According to the dataset website, the license of the original FinTabNet dataset is [CDLA-Permissive](https://cdla.dev/permissive-1-0/). |
