papermage
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allenai
library supporting NLP and CV research on scientific papers
Hi! First of all, thank you for the white paper and the library. The concept of layers is interesting. It's a smart way to represent a document for different purposes....
Hello, I'm glad to read your paper, but I ran into a problem while running the code： Running quick_start_demo.ipynb reported error OSError: [Errno 22] Invalid argument: 'D:\\\Users\\ure/.torch/iopath_cache\s/ukbw5s673633hsw\\publaynet-tf_ efficientdet_d0.pth.tar?dl=1.lock'
Hi, When I run the second cell, I get the following error: `--------------------------------------------------------------------------- KeyError Traceback (most recent call last) Cell In[2], line 5 2 from papermage.recipes import CoreRecipe 3 fixture_path...
Hi, thanks for this great toolkit! I tried the papermage with several PDF files. It works really well with recent papers but when I tried to parse some papers published...
Rasterizers, DocMetadataExtractors, Parsers, etc. all should emit Documents And we should have some sort of `Doc.update()` functionality or `merge()` functionality to combine Documents.
1. To avoid @soldni type checking horrors, let's add something akin to `.get()` 2. We may still want to represent fields as `None` to separate them from `[]` or `Layer(entities=[])`
- https://pypi.org/project/msgspec/ - favor gzip - round out floats to ints w/ some precision