pretty_name: CTR Scan Object Sequential50
task_categories:
- robotics
Scan Object Sequential50
Q4-A non-CTR Sequential training data containing 50 whole Scan Object episodes: 25 physical L->R schedules and 25 physical R->L schedules. The dataset keeps each frozen training scene seed exactly once. Even source slots select L->R and odd source slots select R->L.
Both parent revisions share the same source program, calibrated
centered_fovy90 cameras and scanning-tail control hash for every paired scene.
No frame-level trajectory splicing or scene replacement is used.
The two parent MP4 containers for each camera are retained byte-for-byte at separate file indexes. Episode metadata exposes only the selected whole-episode segments. Every selected video frame is decoded during qualification and image statistics are recomputed from exact RGB histograms; no selected frame is transcoded.
IdleMask is disabled. The output drops the parent-only
observation.arm_active_mask field and training must not recreate or consume
it. Training consumers must compute exact global normalization statistics over
valid samples from this immutable output revision.