From c032e27c394ee8b854d17ca798091df8766f5820 Mon Sep 17 00:00:00 2001 From: Kenneth Enevoldsen Date: Fri, 24 May 2024 09:18:55 +0200 Subject: [PATCH] Update readme.md --- readme.md | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/readme.md b/readme.md index 5092c42..fc4a03b 100644 --- a/readme.md +++ b/readme.md @@ -4,14 +4,11 @@ [![PyPI version](https://badge.fury.io/py/augmenty.svg)](https://pypi.org/project/augmenty/) [![python version](https://img.shields.io/badge/Python-%3E=3.8-blue)](https://github.com/kennethenevoldsen/augmenty) -[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)]([ruff]) +[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) [![github actions pytest](https://github.com/kennethenevoldsen/augmenty/actions/workflows/tests.yml/badge.svg)](https://github.com/kennethenevoldsen/augmenty/actions) -[![github actions docs](https://github.com/kennethenevoldsen/augmenty/actions/workflows/documentation.yml/badge.svg)]([action]) -[![status](https://joss.theoj.org/papers/df84463b79f27f40a4da97f20b08a958/status.svg)]([joss]) +[![github actions docs](https://github.com/kennethenevoldsen/augmenty/actions/workflows/documentation.yml/badge.svg)](https://kennethenevoldsen.github.io/augmenty/) +[![status](https://joss.theoj.org/papers/df84463b79f27f40a4da97f20b08a958/status.svg)](https://joss.theoj.org/papers/df84463b79f27f40a4da97f20b08a958) -[action]: https://kennethenevoldsen.github.io/augmenty/ -[ruff]: https://github.com/astral-sh/ruff -[joss]: https://joss.theoj.org/papers/df84463b79f27f40a4da97f20b08a958 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.