Dataset Cleaning Process

[KennethEnevoldsen]

Get an overview of filters:

• Create an overview of cleaning taggers #207
  • Figure out the difference between the PII taggers (which ones are most relevant) - we might just start using the fastest one
  • Test NSFW filters (is what they filter out problematic in Danish) (minor)
  • Test hate-speech filters (is what they filter out problematic in Danish) (minor)

See the filters are valid

• Apply all filters to DAGW (whole dataset) and see if any of the filters are problematic (non should filter out extreme amount of data as we consider the dataset fairly clean)

  • E.g. could be afraid that the current gopher filters uses "english" thresholds which might be problematic for us.

Starting applying filters to the dataset

• Formatting datasets to jsonl.gz and applying filters to them.

Decide on reasonable threshold

• Once we have run the analysis we would like to set a reasonable set of starting thresholds which we can vary based on (specified in the config).

@peterbjorgensen does this seems like a reasonable approach to you as well?

[peterbjorgensen]

One of the taggers in Dolma is using Microsoft Presidio for PII https://microsoft.github.io/presidio/
It is a bit unclear to me (also after reading their documentation) whether it works in Danish.
But I think it boils down to whether a PII classifier exists in Danish. The framework can use spaCy, stanza and transformers models.

[KennethEnevoldsen]

^we can def. use a spacy pipeline (large embeddings model) I believe everything else it too slow. But there is no PII classifer for danish (only NER)