Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Filtering extracted results #23

Open
Jack000 opened this issue Aug 15, 2020 · 2 comments
Open

Filtering extracted results #23

Jack000 opened this issue Aug 15, 2020 · 2 comments

Comments

@Jack000
Copy link

Jack000 commented Aug 15, 2020

this is more of a question than an issue - I noticed that in my scrape there is a large number of spurious results like:

Sorry, we just need to make sure you're not a robot. For best results, please make sure your browser is accepting cookies.

The actual openwebtext corpus seems pretty clean, so I'm wondering what if any heuristics were used to remove these pages, in order to reproduce the openwebtext corpus?

The corpus page mentions post-filtering using fasttext - is this something that will be added to this project at some point?

Finally, the readme implies that bs4 would be a better extractor than newspaper - is that the case? It's not an option in extract_text.py so it's difficult to compare.

@Jack000
Copy link
Author

Jack000 commented Aug 15, 2020

actually, I just realized the openwebtext corpus is owned by a completely different group of people. Am I correct in assuming that this is an independent implementation of webtext, and has nothing to do with https://skylion007.github.io/OpenWebTextCorpus/ ?

@jcpeterson
Copy link
Owner

Yep, different implementation.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants