Skip to main content

An augmentation library based on SpaCy for joint augmentation of text and labels.

Project description

Augmenty: The cherry on top of your NLP pipeline

PyPI version python version Code style: black github actions pytest github actions docs

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

Documentation
📚 Usage Guides Guides and instructions on how to use augmenty and its features.
📰 News and changelog New additions, changes and version history.
🎛 API References The detailed reference for augmenty's API. Including function documentation
🍒 Augmenters Contains a full list of current augmenters in augmenty.
🙋 FAQ Frequently asked question regarding augmenty

💬 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

augmenty-1.3.3.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

augmenty-1.3.3-py3-none-any.whl (45.6 kB view details)

Uploaded Python 3

File details

Details for the file augmenty-1.3.3.tar.gz.

File metadata

  • Download URL: augmenty-1.3.3.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/37.3 requests/2.29.0 requests-toolbelt/0.10.1 urllib3/1.26.15 tqdm/4.65.0 importlib-metadata/6.6.0 keyring/23.13.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.11

File hashes

Hashes for augmenty-1.3.3.tar.gz
Algorithm Hash digest
SHA256 c26b1900aa46bf53ff7fef274260d5b24f0e9d239fb406e04ed6f6cee54ea236
MD5 802829d0d1b988f9ff7c2314f83152a2
BLAKE2b-256 e72c9cb13c47ec49b5688ff16a8e8b46b1e88393619a0b0a189d6ae519e693d2

See more details on using hashes here.

File details

Details for the file augmenty-1.3.3-py3-none-any.whl.

File metadata

  • Download URL: augmenty-1.3.3-py3-none-any.whl
  • Upload date:
  • Size: 45.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/37.3 requests/2.29.0 requests-toolbelt/0.10.1 urllib3/1.26.15 tqdm/4.65.0 importlib-metadata/6.6.0 keyring/23.13.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.11

File hashes

Hashes for augmenty-1.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3fdc238d07996f66d2cd49ea69709b8e9d654b1cc5b891c7eee30a84449f843a
MD5 c2a8e26ab45da1e51152f3ab1431b4fa
BLAKE2b-256 70261b394363c39c7bf333c19efaafd4b50a7044be533e6737b1ed493e20c287

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page