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Adrien Pavão edited this page Feb 13, 2023
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Welcome to the Codabench wiki!
Codabench is a platform allowing you to flexibly specify a benchmark. First you define tasks, e.g. datasets and metrics of success, then you specify the API for submissions of code (algorithms), add some documentation pages, and [CLICK] your benchmark is created, ready to accept submissions of new algorithms. Participant results get appended to an ever-growing leaderboard.
You may also create inverted benchmarks in which the role of datasets and algorithms are swapped. You specify reference algorithms and your participants submit datasets.
- Getting Started Tutorial
- Advanced Tutorial
- Competition Creation: Form
- Competition Creation: Bundle
- Competition YAML Structure
- Competition Bundle Structure
- Dataset competition creation and participate instruction
- Leaderboard Features
- Competition Examples
- Example: Cancer Benchmarks
- Benchmark Management & List Page
- Benchmark Detail Page
- Queue Management
- Task & Dataset Management
- Compute Worker Management & Setup
- Admin Features
- Overall Architecture
- Codabench Basic Installation Guide
- How to Deploy Server
- Administrator procedures
- Codabench Docker Architecture
- Submission Docker Container Layout
- Backups: Creating, Automating, and Restoring
- Submission Process Overview
- Special prod settings
- Robot submissions
- Running tests
- Use Codabench by either participating in a competition or hosting a new competition.
- Find a bug? Got a feature request? Submit a GitHub issue.
- Submit pull requests on GitHub to implement new features or fix bugs.
- Improve this documentation.
- Let others know about Codabench!
- The preferred way is via posting a GitHub issue.
- In case of emergency, contact us directly.
- If you wish to get in touch with the community, you can use the Google Groups.