mirror koalapenguin/RoboCloth: materials/98/hdr_crop_bboxes.json .. sample/material_483/unmatched_scan_ids.json (57 files)

materials/98/observations_structured.npz

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+size 664859126

materials/98/point_metadata.json

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+{
+  "num_points": 187597,
+  "num_observations": 108680589,
+  "observations_folder": "observations"
+}

materials/98/point_positions.npz

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+size 3752462

materials/98/unmatched_scan_ids.json

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+[
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+  554,
+  555,
+  556,
+  565,
+  587
+]

materials/99/bbox.json

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+{
+  "bbox_min": [
+    0.09000281391962256,
+    -0.17999992713405819,
+    -0.060390176347297486
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materials/99/hdr.tar

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materials/99/observations_structured.npz

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+size 1187149038

materials/99/point_metadata.json

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+{
+  "num_points": 334970,
+  "num_observations": 193523109,
+  "observations_folder": "observations"
+}

materials/99/point_positions.npz

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+oid sha256:d7416c80d0d265bdd3524c21fd8a1ae8822454e01eaee7573e93dffba5c19b75
+size 6699922

materials/99/unmatched_scan_ids.json

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+[
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+  555,
+  556,
+  564,
+  565,
+  566,
+  567,
+  587
+]

sample/README.md

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+# RoboCloth — sample subset
+
+A small, self-contained slice of [RoboCloth](https://huggingface.co/datasets/koalapenguin/RoboCloth)
+for inspecting the data format without downloading terabytes.
+
+## What is here
+
+- A handful of complete materials, drawn from the **test split** and chosen to span
+  different physical sample sizes. The material ids present are the `material_<id>/`
+  folders listed above.
+- Each material keeps ~12 HDR frames in `hdr.tar`, evenly subsampled from the full ~580.
+- The small per-material files — `point_positions.npz`, `rotated_camera.json`,
+  `scan_log.json`, `point_metadata.json`, `bbox.json`, `hdr_crop_bboxes.json`,
+  `unmatched_scan_ids.json` — are included **verbatim**, so names, shapes and dtypes match
+  the full release exactly.
+- The per-point observation tensor `observations_structured.npz` (≈1 GB per material) is
+  **not** part of the sample; fetch it from `materials/<id>/` when you need it (see below).
+
+## Mapping back to the full dataset
+
+`sample/material_<id>/` here corresponds to `materials/<id>/` in the main tree. To pull the
+same material at full size:
+
+```bash
+hf download koalapenguin/RoboCloth --repo-type dataset \
+    --include "globals/*" --include "materials/<id>/*" --local-dir ./RoboCloth
+```
+
+## Download just this subset
+
+```bash
+hf download koalapenguin/RoboCloth --repo-type dataset \
+    --include "sample/*" --include "globals/*" --include "examples/*" \
+    --local-dir ./robocloth-sample
+```
+
+## Loader
+
+[`../examples/load_material.py`](../examples/load_material.py) shows how to read every file
+type in a material directory. Once this subset is downloaded, the same arrays load directly:
+
+```python
+import numpy as np
+pts = np.load("robocloth-sample/sample/material_<id>/point_positions.npz")
+print({k: (pts[k].shape, pts[k].dtype) for k in pts.files})
+```

sample/material_156/bbox.json

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+{
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+  "bbox_size": [
+    0.08999972476731397,
+    0.11999921667467085,
+    0.004318242845340325
+  ],
+  "num_points": 312204
+}

sample/material_156/hdr.tar

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+size 85145600

sample/material_156/point_metadata.json

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+  "num_observations": 182951544,
+  "observations_folder": "observations"
+}

sample/material_156/point_positions.npz

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+size 6244602

sample/material_156/unmatched_scan_ids.json

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+[
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+]

sample/material_249/bbox.json

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+{
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+    0.1349994156288888,
+    0.0045078960903374155
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+  "num_points": 172749
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sample/material_249/hdr.tar

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+size 122122240

sample/material_249/point_metadata.json

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sample/material_249/point_positions.npz

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sample/material_249/unmatched_scan_ids.json

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+[
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+]

sample/material_309/bbox.json

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+{
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+    0.0035704916558924604
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sample/material_309/hdr.tar

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sample/material_309/point_metadata.json

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+}

sample/material_309/point_positions.npz

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sample/material_309/unmatched_scan_ids.json

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sample/material_428/bbox.json

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sample/material_428/hdr.tar

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sample/material_428/point_metadata.json

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sample/material_428/point_positions.npz

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sample/material_428/unmatched_scan_ids.json

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sample/material_483/bbox.json

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