Difference between revisions of "Eosc/NorBERT3 corpus"

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(Workflow)
(To Decide)
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== To Decide ==
 
== To Decide ==
The size of NBDigital is 662M tokens. Should we use it? It probably overlaps a lot with NCC.
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Q: The size of NBDigital is 662M tokens. Should we use it? It probably overlaps a lot with NCC.
  
How should we split training corpora: one sentence per line, one paragraph per line, one document per line?
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A: No, it isn't. Only 60 paragraphs out of total 18M in NCC are duplicates of paragraphs in NBDigital. Thus, we definitely should use it.
 +
 
 +
Q: How should we split training corpora: one sentence per line, one paragraph per line, one document per line?
  
 
A: BERT assumes that there is one sentence per line.
 
A: BERT assumes that there is one sentence per line.

Revision as of 18:49, 24 October 2022

Workflow

There are other de-duplication packages

Sampling experiment

We plan to create two versions of the training corpus:

  • baseline (as is)
  • Wikipedia+NCC+NAK multiplied by two to match the C4 size (oversampling quality data)

Vocabulary

Starting with 50K, following NorBERT-2. May be later experiment with other values.

To Decide

Q: The size of NBDigital is 662M tokens. Should we use it? It probably overlaps a lot with NCC.

A: No, it isn't. Only 60 paragraphs out of total 18M in NCC are duplicates of paragraphs in NBDigital. Thus, we definitely should use it.

Q: How should we split training corpora: one sentence per line, one paragraph per line, one document per line?

A: BERT assumes that there is one sentence per line.