WikiExtractor / WikiExtractor/wikiextractor
Question: Cirrus Extractor vs. "normal" Extractor - who creates cleaner texts?
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Description
Hi,
which Extractor do you think creates cleaner texts? The Cirrus Extractor or the "normal" Extractor?
I am asking because I want to use the Wikipedia texsts to train language models based on them. see https://en.wikipedia.org/wiki/BERT_(language_model)
Thanks
Philip
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- Read the whole issue, then the project's contributing guide.
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Research direction
No source file or test is identified in the issue. Read the extractor documentation and the linked BERT overview first, then compare the documented outputs of the Cirrus and normal extractors. Done means providing a supported comparison that answers which output is better suited to language-model training.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100