ML Data was built as a repository for machine learning data. Users may upload data, find interesting data sets, define learning tasks and challenges, exchange solutions and compare their methods against ones used by other users.
This repository manages the following types of objects.
- Data Sets – Raw data as a collection of similarly structured objects.
- Material and Methods – Descriptions of the computational pipeline.
- Learning tasks defined on raw data.
- Challenges – Collections of tasks which have a particular theme.