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openml.org
In short: Getting listed on OpenML is free. Plan for about 45 minutes — there is material to prepare and a review to wait on.
What they ask for: Publish a documented, de-identified ML-ready benchmark such as labelled phishing, homograph, or accessibility test cases with provenance and an open license.
Publish a documented, de-identified ML-ready benchmark such as labelled phishing, homograph, or accessibility test cases with provenance and an open license.
The upload must be a legitimate machine-learning dataset, include name, description, and license, contain no sensitive data, and pass OpenML's automated verification before activation.
Open the submission page on openml.org and complete its form — that is the "Open submit page" link at the top of this page.
The upload must be a legitimate machine-learning dataset, include name, description, and license, contain no sensitive data, and pass OpenML's automated verification before activation.
Priority sets the band — this one is high. Cost (free) and effort (moderate) move it within that band, which puts it in the high impact tier. The score orders a submission queue. It is not a measure of the site’s domain authority, traffic or quality.