Prepare a machine-learning modeling task that can be hosted as a competition on an outside platform such as Kaggle.

Requirements:

• Testing data is not public: that would make it too easy to train on the test set
• Test dataset is not easily manipulated: if the test set depends on future behavior, we want to make sure that the task does not encourage editing that might negatively impact the community
• Task directly supports one of our current goals
• Task serves as a good tutorial to Wikimedia research challenges and resources [nice to have]

Steps:

• Identify scope of challenge
• Identify venue for challenge
• Make sure we have agreement / support from any teams connected to the data
• Build datasets in support of task and documentation of them and other supporting resources
• Apply for acceptance of task (if necessary)