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@@ -21,8 +21,8 @@ There is no known license for the original dataset, but the data is commonly ref
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  According to [this website](https://roundtrippdf.com/en/data-extraction/pdf-table-recognition-dataset/) from Tamir Hassan (as of August 2023): "These documents have been collected systematically from the European Union and US Government websites, and we therefore expect them to have public domain status."
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- Associated [code](https://github.com/tamirhassan/dataset-tools) for the data for the competition carries an Apache-2.0 license.
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  ## About the corrected dataset
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- For more details about this dataset and the manual corrections made to the original dataset, please see ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716).
 
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  According to [this website](https://roundtrippdf.com/en/data-extraction/pdf-table-recognition-dataset/) from Tamir Hassan (as of August 2023): "These documents have been collected systematically from the European Union and US Government websites, and we therefore expect them to have public domain status."
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+ Associated [code](https://github.com/tamirhassan/dataset-tools) for the data for the 2013 competition carries an Apache-2.0 license.
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  ## About the corrected dataset
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+ For more details about this version (2023) of the dataset and the manual corrections made to the original dataset, please see ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716).