yxma commited on
Commit
53f7fe6
·
verified ·
1 Parent(s): 3ad2833

Trim OT-uninitialized prefixes from 3 .pt files (ep_005/012/017 — see `_contact_meta.trim_offset`); recompute bad_frames + data_quality_breakdown in trimmed coords; ot_loss frame count now reflects real mid-episode mocap dropout only. Recorder-side OT watchdog added to data_collection.py (in twm repo) so future episodes won't repeat the bug.

Browse files
README.md CHANGED
@@ -33,7 +33,7 @@ Dense, contact-rich, synchronized multimodal interaction data collected from **h
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  ![Tactile intensity timeline](figures/contact_intensity_full.png)
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- > **126 min of robot-free human-hand multimodal interaction · 81 min (66 %) of confirmed bimanual tactile contact · 221,621 frames @ 30 Hz across 3 × RGB-D + 2 × GelSight + 3-body OptiTrack**
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  ## What's different about this dataset
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@@ -52,7 +52,7 @@ Dense, contact-rich, synchronized multimodal interaction data collected from **h
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  |---|---|
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  | Embodiment | **Human hands (no robot)** — handheld GelSight sensors with motion-capture rigid bodies |
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  | Intended use | Dynamics / world-model learning over short multimodal windows. Sample short trajectories (1 s – 10 s); recording-file boundaries are not action boundaries. |
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- | Total synchronized duration | **126.0 min** at 30 Hz (221,621 multimodal frames) |
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  | Bimanual tactile-contact time | **81.4 min — 66 % of frames** (median event duration 0.73 s) |
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  | Cameras | 3× Intel RealSense D415 (color + depth), 480×640, 30 FPS |
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  | Tactile | 2× GelSight Mini (left, right), handheld |
@@ -69,6 +69,8 @@ Dense, contact-rich, synchronized multimodal interaction data collected from **h
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  See [`tasks.json`](tasks.json) for the machine-readable registry (per-date `active_sensors`, etc.).
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  ## Quick start
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  ```python
 
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  ![Tactile intensity timeline](figures/contact_intensity_full.png)
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+ > **106 min of robot-free human-hand multimodal interaction · 190,231 frames @ 30 Hz across 3 × RGB-D + 2 × GelSight + 3-body OptiTrack**
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  ## What's different about this dataset
39
 
 
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  |---|---|
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  | Embodiment | **Human hands (no robot)** — handheld GelSight sensors with motion-capture rigid bodies |
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  | Intended use | Dynamics / world-model learning over short multimodal windows. Sample short trajectories (1 s – 10 s); recording-file boundaries are not action boundaries. |
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+ | Total synchronized duration | **105.7 min** at 30 Hz (190,231 multimodal frames, post-trim) |
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  | Bimanual tactile-contact time | **81.4 min — 66 % of frames** (median event duration 0.73 s) |
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  | Cameras | 3× Intel RealSense D415 (color + depth), 480×640, 30 FPS |
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  | Tactile | 2× GelSight Mini (left, right), handheld |
 
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  See [`tasks.json`](tasks.json) for the machine-readable registry (per-date `active_sensors`, etc.).
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+ **OT-uninitialized prefixes trimmed.** Three episodes had OptiTrack offline for the first 1–11 min of recording (`2026-05-11/episode_{005,012,017}`); those prefixes have been cut from the published `.pt` files (see `_contact_meta.trim_offset` per file). The original recordings remain in the H5 archive untouched. Future episodes use a recorder-side OT watchdog that refuses to start without an active mocap stream.
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+
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  ## Quick start
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  ```python
bad_frames.json CHANGED
@@ -4,15 +4,15 @@
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  "buffer_frames": 3,
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  "summary": {
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  "n_episodes": 27,
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- "total_frames": 221621,
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- "total_bad_frames": 33144,
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- "bad_fraction_overall": 0.14955261459879704,
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- "n_episodes_with_bad_frames": 13
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  | | |
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  |---|---:|
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- | Total synchronized frames | 221,621 (126.0 min @ 30 Hz) |
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  | Recording files | 27 |
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- | Recording files with ≥1 flagged frame | 8 |
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  ## Failure modes — quantitative breakdown
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  | | |
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