A augmentation library based on SpaCy for joint augmentation of text and labels.
Project description
Augmenty: The cherry on top of your NLP pipeline
Augmenty is an augmentation library based on spaCy for augmenting texts. Besides a wide array of highly flexible augmenters, Augmenty provides a series of tools for working with augmenters, including combining and moderating augmenters. Augmenty differs from other augmentation libraries in that it corrects (as far as possible) the assigned labels under the augmentation, thus making many of the augmenters valid for training more than simply sentence classification.
🔧 Installation
To get started using augmenty simply install it using pip by running the following line in your terminal:
pip install augmenty
Do note that this is a minimal installation. As some augmenters requires additional packages please the following line to install all dependencies.
pip install augmenty[all]
For more detailed instructions on installing augmenty, including specific language support, see the installation instructions.
📖 Documentation
Documentation | |
---|---|
📚 Usage Guides | Guides and instruction on how to use augmenty and its features. |
🍒 Augmenters | Contains a full list of current and planned augmenters in augmenty. |
📰 News and changelog | New additions, changes and version history. |
🎛 API Reference | The detailed reference for augmenty's API. Including function documentation |
💬 Where to ask questions
Type | |
---|---|
🚨 Bug Reports | GitHub Issue Tracker |
🎁 Feature Requests & Ideas | GitHub Issue Tracker |
👩💻 Usage Questions | GitHub Discussions |
🗯 General Discussion | GitHub Discussions |
🍒 Adding an Augmenter | Adding an augmenter |
🤔 FAQ
How do I test the code and run the test suite?
augmenty comes with an extensive test suite. In order to run the tests, you'll usually want to clone the repository and build augmenty from the source. This will also install the required development dependencies and test utilities defined in the requirements.txt.
pip install -r requirements.txt
pip install pytest
python -m pytest
which will run all the test in the augmenty/tests
folder.
Specific tests can be run using:
python -m pytest augmenty/tests/test_readability.py
Code Coverage If you want to check code coverage you can run the following:
pip install pytest-cov
python -m pytest --cov=.
Does augmenty run on X?
augmenty is intended to run on all major OS, this includes Windows (latest version), MacOS (Catalina) and the latest version of Linux (Ubuntu). Below you can see if augmenty passes its test suite for the system of interest. Please note these are only the systems augmenty is being actively tested on, if you run on a similar system (e.g. an earlier version of Linux) augmenty will likely run there as well, if not please create an issue.
Operating System | Status |
---|---|
Ubuntu/Linux (Latest) | |
MacOS (Catalina) | |
Windows (Latest) |
How is the documentation generated?
augmenty uses sphinx to generate documentation. It uses the Furo theme with a custom styling.
To make the documentation you can run:
# install sphinx, themes and extensions
pip install sphinx furo sphinx-copybutton sphinxext-opengraph
# generate html from documentations
make -C docs html
Many of these augmenters are completely useless for training?
That is true, some of the augmenters are rarely something you would augment with during training. For instance randomly adding or removing spacing. However, augmentation can just as well be used to test whether a model is robust to certain variations.
Can I use augmenty without using spacy?
Indeed augmenty contains convenience functions for applying augmentation directly to raw texts. Check out the getting started guide to learn how.
🎓 Citing this work
If you use this library in your research, please cite:
@inproceedings{augmenty2021,
title={Augmenty, the cherry on top of your NLP pipeline},
author={Enevoldsen, Kenneth and Hansen, Lasse},
year={2021}
}
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