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[minouei-kl]

As mentioned in the paper, the results reported in 3 categories: simple, complex, and all.
and also in the sample_gt.json
there is a "type" property to show whether is simple or complex.
but this property is missing in the training and validation set. is there a way to distinguish between the two in the training set?

[ajjimeno]

We did not generate such information for the training and validation sets. The criteria to label tables as simple or complex is based on tables without or with multi-rows/columns (https://arxiv.org/pdf/1911.10683.pdf), so it should be possible to generate it in the training and validations sets.

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On Mon, Nov 16, 2020 at 8:30 PM minouei-kl ***@***.***> wrote: As mentioned in the paper, the results reported in 3 categories: simple, complex, and all. and also in the sample_gt.json <https://github.com/ibm-aur-nlp/PubTabNet/blob/7d9fbe9f63985d9d62adc7f396397fba9c81eef2/src/sample_gt.json#L1> there is a "type" property to show whether is simple or complex. but this property is missing in the training and validation set. is there a way to distinguish between the two in the training set? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#17>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AA6BZDIIBHIXTK4WEB7R2XLSQDWMLANCNFSM4TW5MKTQ> .