Bothub is an open platform for predicting, training and sharing NLP datasets in multiple languages.
Bothub is the Github for NLP datasets, that allows to build, improve and translate them.
You can read more about the project's purpose on this blog post.
This repo is the "master" repo for all Bothub-related projects. It hosts the documentation and other misc. resources for Bothub. Code for other projects, like the WebApp, Engine and NLP, are hosted in other repositories.
All documentation available on docs.bothub.it.
Use make commands to install_requirements, init_stack and destroy_stack.
| Command | Description |
|---|---|
| make install_requirements | Clone projects and install all dependencies |
| make init_stack | Build Projects |
| make destroy_stack | Destroy all containers |
We are looking for collaboration from the Open Source community! There's so much we want to do, including but not limited to: enhancing existing applications with new features, optimizing the NLP tools and algorithms involved that boost accuracy, and bringing our work closer to the public to leverage their inputs via blog posts and tutorials.
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Please read our contribution guidelines for details on what and how you can contribute.
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Report a bug by using this guideline for details on what and how you can contribute.
The issues created here will be analysed and validated. They can be submitted to the bothub, bothub-webapp, and/or bothub-nlp repository as well.
The issue tracker is the preferred channel for bug reports and features requests, but please respect the following restrictions:
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Please do not use the issue tracker for personal support requests (send an email to bothub@ilhasoft.com.br).
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Please do not derail or troll issues. Keep the discussion on topic and respect the opinions of others.
Feature requests are welcome. But take a moment to find out whether your idea fits with the scope and aims of the project. It's up to you to make a strong case to convince the project's developers of the merits of this feature. Please provide as much detail and context as possible.
To request a new feature, create a new issue using the label feature request.