File size: 1,838 Bytes
fbda165 42f19ad fbda165 42f19ad fbda165 42f19ad fbda165 44c2b6d 42f19ad fbda165 42f19ad fbda165 44c2b6d fbda165 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # 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})
```
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