Human gameplay from a first-person rooftop-courier game, recorded at the simulation tick rather than from the screen. One row per tick: the exact input the player gave, and the full world state that input produced. The action labels and the world state are ground truth read out of the simulator, not inferred from video. No pose estimation, no key-press detection, no frame differencing, no interpolation. injump is the jump bit the game consumed on that tick; vely is the number the physics step wrote. Every row is exact to the byte the recorder stored. Every session in this dataset has been replay-verified: re-simulated from its recorded seed and input stream and compared field-by-field…
Independent publisher
Arjun Vivek
arjvnv
Models in Library0
Datasets in Library1
Models on Hugging Face—
Followers—
Compare the published evidence
This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Reinforcement learning.
Reported licenses: cc-by-4.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.