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acmmm-artifact-evaluation

Use when packaging code, models, datasets, or media as ACM MM (ACM Multimedia) artifacts — building the anonymous review package versus the public release, and choosing between the Open Source Software Competition, the Dataset track, the Reproducibility track, and main-track supplementary evidence, each with its own blinding and expectations.

ACM-MM-Skills/skills/acmmm-artifact-evaluation/SKILL.md

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# ACM MM Artifact Evaluation

Use this to turn an ACM Multimedia project's code, models, media, and data into the *right*
artifact for the *right* track. ACM MM has a track economy around artifacts, and the choice
determines blinding, format, and what reviewers judge.

## Which track is the artifact?

| Artifact is primarily... | Route to | Blinding | Judged on |
|---|---|---|---|
| A reusable software system/framework | Open Source Software Competition | Single-blind | Adoption, quality, license, docs |
| A new dataset/benchmark | Dataset track | Single-blind | Scale, quality, ethics, usefulness |
| A reproduction of published results | Reproducibility track | Single-blind | Whether results rebuild; ACM badges |
| Supporting evidence for a method paper | Main-track supplement | Double-blind | Whether it backs the paper's claims |
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