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