flake8 testing of https://github.com/juand-r/entity-recognition-datasets on Python 3.7.0

$ flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics

./data/NIST_IEER/CONLL-format/utils/quick_comma_fix.py:41:37: E999 SyntaxError: invalid syntax
                    print annotations
                                    ^
./data/NIST_IEER/

https://creativecodinglab.github.io/TextAnnotationGraphs now points to docs/index.html. We should include a link to the live demo under the corresponding section in the docs.

Hello, thank you for writing this software. Could you please provide some detailed installation instructions, and some examples for how it should be run, in the README file? Thank you.

• http://nilc.icmc.usp.br/macmorpho/
• Download: http://nilc.icmc.usp.br/macmorpho/macmorpho-v3.tgz
• Manual: http://nilc.icmc.usp.br/macmorpho/macmorpho-manual.pdf
• Disponível também via NLTK data http://www.nltk.org/nltk_data/

Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags. Its first version was released in 2003 [1], and since then, two rev

Thanks for setting this up, really makes life easier for preprocessing.

It might be useful to say that the wsj path points to the mrg part of the parsed corpus in PTB, something like

WSJ=.../LDC99T42/treebank_3/parsed/mrg/wsj/

There are other options like parsed/prd/wsj, which do not work with the script provided.

The below exports in file ./bin/basic/get_data.sh do no