Skip to content

The AI Alliance project to define a reference stack for AI model and system evaluation, with evaluations, benchmarks, and leaderboards.

Notifications You must be signed in to change notification settings

The-AI-Alliance/trust-safety-evals

Repository files navigation

README

Published Documentation

This repo contains the code and documentation for the AI Alliance Trust and Safety Evaluations project, which defines a reference stack for AI model and system evaluation, with evaluations, benchmarks, and leaderboards.

See the documentation for a more detailed description of the project.

At this time, only the "skeleton" documentation is provided. We will be making initial commits of code, etc. soon.

Getting Involved

We welcome contributions as PRs. Please see our Alliance community repo for general information about contributing to any of our projects. This section provides some specific details you need to know.

In particular, see the AI Alliance CONTRIBUTING instructions. You will need to agree with the AI Alliance Code of Conduct.

All code contributions are licensed under the Apache 2.0 LICENSE (which is also in this repo, LICENSE.Apache-2.0).

All documentation contributions are licensed under the Creative Commons Attribution 4.0 International (which is also in this repo, LICENSE.CC-BY-4.0).

All data contributions are licensed under the Community Data License Agreement - Permissive - Version 2.0 (which is also in this repo, LICENSE.CDLA-2.0).

We use the "Developer Certificate of Origin" (DCO).

Warning

Before you make any git commits with changes, understand what's required for DCO.

See the Alliance contributing guide section on DCO for details. In practical terms, supporting this requirement means you must use the -s flag with your git commit commands.

About the Code

TODO

About the Documentation

About the GitHub Pages Website Published from this Repo

The website is published using GitHub Pages, where the pages are written in Markdown and served using Jekyll. We use the Just the Docs Jekyll theme.

See GITHUB_PAGES.md for more information.

Note

As described above, all documentation is licensed under Creative Commons Attribution 4.0 International. See LICENSE.CDLA-2.0).

About

The AI Alliance project to define a reference stack for AI model and system evaluation, with evaluations, benchmarks, and leaderboards.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published