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 in a wider range of tasks.

🔧 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 write 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.

🍒 Simple Example

The following shows a simple example of how you can quickly augment text using Augmenty. For more on using augmenty see the usage guides.

import spacy
import augmenty

nlp = spacy.load("en_core_web_md")

docs = nlp.pipe(["Augmenty is a great tool for text augmentation"])

entity_augmenter = augmenty.load("ents_replace.v1", 
                                 ent_dict = {"ORG": [["spaCy"], ["spaCy", "Universe"]]}, level=1)

for doc in augmenty.docs(docs, augmenter=entity_augmenter, nlp=nlp):
    print(doc)

spaCy Universe is a great tool for text augmentation.

📖 Documentation

💬 Where to ask questions