Additional lookup tables and data resources for spaCy
spaCy lookups data
This repository contains additional data files to be used with spaCy v2.2+. When it's installed in the same environment as spaCy, this package makes the resources for each language available as an entry point,
which spaCy checks when setting up the
Feel free to submit pull requests to update the data. For issues related to the data, lookups and integration, please use the spaCy issue tracker.
Why does this exist?
The main purpose of this package is to make the default spaCy installation smaller and not force every user to download large data files for all languages by default. Lookups data is now either provided via the pre-trained models (which serialize out their vocabulary and lookup tables) or by explicitly installing this package or
When should I install this?
You should install this package if you want to use lemmatization for languages that don't yet have a pre-trained model available for download – for example, Turkish, Swedish or Croatian (see data files). You should also install it if you're creating a blank model and want it to include lemmatization data. Once you've saved out the model (e.g. via
nlp.disk), it will include the lookup tables as part of its
Is this package only for lemmatization?
At the moment, yes. However, we are considering including other lookup lists and tables as well, e.g. large tokenizer exception files.
This package now also includes all data-specific tests. The test suite depends on spaCy.
pip install -r requirements.txt python -m pytest spacy_lookups_data
If you've installed the package in your spaCy environment, you can also run the tests like this:
python -m pytest --pyargs spacy_lookups_data
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