---
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.