README: embed inspection figures inline (intensity overview, teleport reports, data-quality summary)
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README.md
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@@ -224,6 +224,25 @@ should not straddle a glitch.
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**Modes 1+2 (real corruption) together: 202 / 239,759 frames = 0.084 % of the dataset.** Mode 3 is tracked separately because it's healthy data, just not informative for dynamics learning. `bad_frames.json` (below) covers modes 1 and 2 only; if you want to also skip rest periods, intersect with the velocity track from `sensor_*_pose`.
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### `bad_frames.json` schema
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The file lives at the repo root. Frame indices are inclusive on both ends and
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If you use this dataset, please cite (TODO: add bibtex).
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**Modes 1+2 (real corruption) together: 202 / 239,759 frames = 0.084 % of the dataset.** Mode 3 is tracked separately because it's healthy data, just not informative for dynamics learning. `bad_frames.json` (below) covers modes 1 and 2 only; if you want to also skip rest periods, intersect with the velocity track from `sensor_*_pose`.
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### Inspection figures (rendered inline)
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**Mode 1 — GelSight LED flicker** (overview across all 5 affected episodes):
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Per-episode close-ups (reference frame, ±1 s neighbors, peak frame): `figures/dataset_figures/intensity_spike_samples/2026-05-11_episode_{003,007,008,011,017}_*.png`.
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**Mode 2 — OptiTrack pose teleport** (2 examples for the dates without raw camera streams; the other 4 affected episodes have GIFs in the same folder):
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GIFs (10 s playback at 2× speed) for the other 4: `figures/dataset_figures/pose_teleport_samples/2026-05-{10,11}/episode_*_teleport.gif`.
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**Modes 1+2+3 — top-6 worst-offenders chart** (tactile intensity + sensor velocity time-series):
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### `bad_frames.json` schema
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The file lives at the repo root. Frame indices are inclusive on both ends and
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If you use this dataset, please cite (TODO: add bibtex).
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