Recent advances in interactive world models have made it possible to generate controllable, dynamic environments from action inputs. Yet current models struggle to maintain coherence beyond roughly on
GameVerse is a large-scale gameplay dataset with minute-long sequences and event-aligned annotations that improves long-horizon interactive world modeling.
Recent advances in interactive world models have made it possible to generate controllable, dynamic environments from action inputs. Yet current models struggle to maintain coherence beyond roughly one minute of rollout, a limitation rooted not in model capacity but in the scarcity of long-horizon training data. Existing gameplay video datasets typically consist of clips under ten seconds, with captions that describe whole clips in coarse and undifferentiated text, which is insufficient for controllable long-horizon generation. We address this with GameVerse, a minute-scale gameplay video dataset purpose-built for long-horizon interactive world modeling. GameVerse contains 69.7K clips…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling was first seen on Hugging Face · Daily papers on Nov 5, 2026. Since then it has appeared in 14 checks on 2 different days. Its best position was #4 of 30, reached on Nov 6, 01:28 UTC. It dropped off the list after Nov 6, 05:28 UTC.
Position on Hugging Face · Daily papers at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by Hugging Face.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Nov 6, 05:28 UTC, after 2 days of trending.
#4 on Hugging Face · Daily papers, on Nov 6, 01:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 5, 2026 and has been on the list on 2 days (14 checks) since.