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wide-robot — object_inside_container real-camera capture (v0)

Raw multi-view video for the Phase 3A real-camera ingestion pilot of wide-robot: a marker-based, source-independent verifier judges object_inside_container episodes (PASS / FAIL / UNCERTAIN) from real camera evidence. This repo holds the raw capture media that is gitignored in the code repo; the derived JSON (calibrations, tracks, rollouts, verdicts) and the full results live in the git repo under datasets/sony_object_inside_container_v0/ (see INGESTION_RESULTS.md).

Conservative pilot, not a benchmark. The associated result is deliberately narrow: across 78 clips the frozen verifier produced 0 false PASSes on 30 genuine-failure clips, with partial success recall — a demonstration that the verifier's safety survives real, approximate-calibration evidence. It is marker-based and calibration-limited, not a high-recall perception system.

Contents

  • 80 clips = 40 episodes × 2 simultaneous cameras (sony_front ≈ 45° frontal; iphone_top top view), under raw_videos/<category>/oic_<category>_<seq:03d>__<camera>.mp4.
  • manifest.json — provenance index: per-clip SHA-256, expected class, camera, video metadata, and the as-built capture metadata (this is the source of truth).
  • labels.csv — per-clip expected verdicts for the two bundled targets.
  • SHA256SUMS — independent checksums over every .mp4 (verify with shasum -a 256 -c SHA256SUMS).

Categories

success, fail_near_not_inside, fail_on_rim, fail_outside, control_static, control_born_inside, control_born_inside_hand_motion, control_inside_to_inside, control_inside_to_outside, success_tag_obstruction, success_hand_obstruction, calibration.

Capture setup (as-built; manifest.json is authoritative)

  • Cube 5×5×5 cm; AprilTag (tag36h11) IDs 2 (top) / 3 (front), 35 mm.
  • Tray ~`18×18 cm`, ~4 cm rim — homemade cardboard, not perfectly square/consistent; ingestion fits the geometry. Tray tags 6 (front, outer) / 7 (inside floor), 50 mm.
  • Table tags 0 / 1 (75 mm) — used only to recover the world frame. Tags 4/5 absent.

Using it

hf download Alexreysa/wide-robot-object-inside-container-v0 --repo-type dataset --local-dir recordings
shasum -a 256 -c recordings/SHA256SUMS          # verify integrity
# then, from the wide-robot repo (pip install -e ".[camera]"):
python -m scripts.ingest_recordings --select all

Provenance & licensing

  • Source: tripod Sony A7IV + iPhone capture for sony_object_inside_container_v0; reproduced and judged by the byte-frozen verifier in the wide-robot repo. Every clip's SHA-256 is bound in manifest.json and SHA256SUMS.
  • License: TBD — set by the dataset owner. Recommend CC-BY-4.0 (attribution) for reuse; until set, treat as all-rights-reserved.
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