How to participate to a data challenge
1) What you need to participate
A Github account,
Conda installed on your computer,
Some ideas or methods to test !
2) How to propose a solution
In the name of open-science, we hope that you can provide your codes or point to an existing repo of your codes. However, this does not constitute a restriction on participation.
The only restriction to participate is that:
Example evaluation notebooks are available in each data challenge repo.
3) Details on the different steps
All data challenges have repositories hosted on GitHub. In those repositories you will find readme files that explain:
- the context and motivation,
- how to clone and setup the conda environment of the data challenge,
- how to download the necessary datasets and
- how to start playing.
Some data challenges also have readthedocs web pages that illustrate and explain in a more fancy way the data challenges.
In other words, you will need to :
- Create a GitHub account (if you don’t already have one),
- Go to the data challenge GitHub repository of your choice,
- Follow the instructions to clone the repo, install the conda environment (you’ll need to install conda if you don’t already have it) and download the data,
- Play with the data and evaluate your performances using the example notebooks,
- Finally, do a pull request to provide your notebooks containing your results.
For anymore details or clarifications, do not hesitate to contact us through the github Issues section of a specific data challenge or directly at Contacts.