The Objective Revision Evaluation Service (ORES) is a web service that provides machine learning as a service for Wikimedia Projects. The system is designed to help automate critical wiki-work -- for example, vandalism detection and removal. This service is developed as part of the Revision scoring as a service research project.

Scores API

ORES is intended to be used as a source of information by tool developers. To access ORES, scores, a simple RESTful API is provided. There are two versions of the scoring API that differ slightly in their behavior. Version 2 provides access to model info in a scoring request. Version 1 is preserved for backwards compatibility.

Version 2 (docs)
The current end recommended version of the API.
Accessible via /v2/scores/.
Version 1 (docs)
Preserved for backwards compatibility -- this version of the API implements ORES original behavior.
Accessible via /scores/ and /v1/scores/.

Reference scoring user interface

ORES provides a simple user interface for obtaining scores. See /ui/.

On-wiki documentation

To read more about the service and the models available, see: https://meta.wikimedia.org/wiki/Objective_Revision_Evaluation_Service

Privacy policy

See the Wikimedia policy here: https://wikimediafoundation.org/wiki/Privacy_policy


Written in Python 3