Datasets:
Deciding on extraction path
#10
by
Mdspike
- opened
"To determine the extraction path, we first manually annotated 1,350 PDFs and trained an XGBoost model. The model relies on 7 document-level features alongside 120 page-level features sampled from 8 random pages. We applied this classifier to PDFs that were not truncated and routed them accordingly"
This comment is super interesting. Would you be open to sharing a bit more about the process you used here, or even release the manually annotated data and training process / XGBoost model?
I think this could be really valuable for anyone trying to do similar projects with large volumes of PDF files.
Thank you for providing such a great resource.
Hi, we will soon release a full code, with the classifier and feature extractor :)
