[D] Anyone else facing issues with Dataset Track submission for ACM MM 2026?

A significant administrative error is causing confusion and potential submission delays for researchers aiming to present at the prestigious ACM Multimedia (MM) 2026 conference. Multiple users on online forums have reported that the official OpenReview submission portal does not include an option to submit papers under the "Dataset Track," a dedicated category for research centered on novel datasets. This omission directly contradicts the conference's own published guidelines, which clearly state that papers describing datasets must be submitted via this specific track. The issue was highlighted when a user shared screenshots comparing the 2026 submission page, which shows no Dataset Track, to the 2025 page, which clearly listed it as a separate option.

This logistical problem has tangible consequences for the AI and machine learning research community. The Dataset Track is a vital venue for publishing and benchmarking new, high-quality datasets, which are the foundational fuel for training and evaluating models in computer vision, audio processing, and multimodal AI. Without a clear submission pathway, researchers risk missing deadlines, having their work categorized incorrectly, or being unable to share crucial resources with the community. As of now, there is no official communication from the ACM MM 2026 organizers addressing the discrepancy, leaving contributors in a state of uncertainty as they prepare their work for one of the field's top-tier conferences.