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| 1 |
+
---
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| 2 |
+
license: other
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| 3 |
+
task_categories:
|
| 4 |
+
- robotics
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| 5 |
+
tags:
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| 6 |
+
- robotics
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| 7 |
+
- dexterous-manipulation
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| 8 |
+
- teleoperation
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| 9 |
+
- motion-capture
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| 10 |
+
- human-hand
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| 11 |
+
- imitation-learning
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| 12 |
+
- hdf5
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| 13 |
+
size_categories:
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| 14 |
+
- 10GB
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| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# CAP — Dexterous Manipulation Capture Dataset (Cups Ordering, Right Hand)
|
| 18 |
+
|
| 19 |
+
CAP is a **human hand motion capture + dexterous manipulation demonstration** dataset. It records an operator performing the **cups ordering (`cups_order`)** task with the **right hand**. Data is captured with a DexCap-style pipeline and ships both **compressed trajectory HDF5 files** and **raw multi-view camera frames**, ready for motion retargeting, imitation learning, and hand-pose analysis.
|
| 20 |
+
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| 21 |
+
- Repo: `dex-robot/cap`
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| 22 |
+
- Main file: `cap.zip` (10,694,426,624 bytes ≈ 9.96 GiB)
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| 23 |
+
- Files: 18,940
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| 24 |
+
- Capture date: 2026-07-07
|
| 25 |
+
- Task: cups ordering
|
| 26 |
+
- Hand: right
|
| 27 |
+
|
| 28 |
+
---
|
| 29 |
+
|
| 30 |
+
## 1. Overview
|
| 31 |
+
|
| 32 |
+
| Item | Value |
|
| 33 |
+
| --- | --- |
|
| 34 |
+
| Task | `cups_order` (ordering cups) |
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| 35 |
+
| Hand | Right |
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| 36 |
+
| Capture date | 2026-07-07 |
|
| 37 |
+
| Recordings | 5 (16:46:34 / 16:54:35 / 16:56:54 / 16:59:04 / 17:01:24) |
|
| 38 |
+
| Trajectory files | 5 × `.hdf5` (one per recording) |
|
| 39 |
+
| Camera views | 6 (left hand / right hand / head stereo / head global RGB / head global depth) |
|
| 40 |
+
| Image frames | 18,915 × `.png` + 5 × `.mp4` |
|
| 41 |
+
| Other assets | 3 × `.json`, 6 × `.txt`, 5 × `.npy`, 1 × `.raw` |
|
| 42 |
+
| Archive size | 10.7 GB (10,694,426,624 bytes) |
|
| 43 |
+
|
| 44 |
+
---
|
| 45 |
+
|
| 46 |
+
## 2. Directory Layout
|
| 47 |
+
|
| 48 |
+
```
|
| 49 |
+
cap/
|
| 50 |
+
├── hdf5/ # one compressed trajectory per recording
|
| 51 |
+
│ ├── cups_order_right_hand_20260707_164634/
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| 52 |
+
│ │ └── cups_order_right_hand_20260707_164634.hdf5
|
| 53 |
+
│ ├── cups_order_right_hand_20260707_165435/
|
| 54 |
+
│ │ └── cups_order_right_hand_20260707_165435.hdf5
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| 55 |
+
│ ├── cups_order_right_hand_20260707_165654/
|
| 56 |
+
│ │ └── cups_order_right_hand_20260707_165654.hdf5
|
| 57 |
+
│ ├── cups_order_right_hand_20260707_165904/
|
| 58 |
+
│ │ └── cups_order_right_hand_20260707_165904.hdf5
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| 59 |
+
│ └── cups_order_right_hand_20260707_170124/
|
| 60 |
+
│ └── cups_order_right_hand_20260707_170124.hdf5
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| 61 |
+
└── raw_data/ # raw multimodal stream (images + video + calibration)
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| 62 |
+
└── cups_order_right_hand_20260707_164634/
|
| 63 |
+
└── cups_order_right_hand_20260707_164634_extracted/
|
| 64 |
+
└── observe/
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| 65 |
+
└── vision/
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| 66 |
+
├── left_hand_rgb/ # left wrist view (video + metadata)
|
| 67 |
+
├── right_hand_rgb/ # right wrist view
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| 68 |
+
├── head_zed_left/ # head ZED left
|
| 69 |
+
├── head_zed_right/ # head ZED right
|
| 70 |
+
├── head_global_rgb/ # head global RGB
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| 71 |
+
├── head_global_depth/ # head global depth
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| 72 |
+
└── *_frames/ # extracted PNG sequences per view
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| 73 |
+
```
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| 74 |
+
|
| 75 |
+
---
|
| 76 |
+
|
| 77 |
+
## 3. Recording Sessions
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| 78 |
+
|
| 79 |
+
| Session ID | Start time | HDF5 trajectory | Raw frames |
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| 80 |
+
| --- | --- | --- | --- |
|
| 81 |
+
| `cups_order_right_hand_20260707_164634` | 16:46:34 | ✅ | ✅ |
|
| 82 |
+
| `cups_order_right_hand_20260707_165435` | 16:54:35 | ✅ | — |
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| 83 |
+
| `cups_order_right_hand_20260707_165654` | 16:56:54 | ✅ | — |
|
| 84 |
+
| `cups_order_right_hand_20260707_165904` | 16:59:04 | ✅ | — |
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| 85 |
+
| `cups_order_right_hand_20260707_170124` | 17:01:24 | ✅ | — |
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| 86 |
+
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| 87 |
+
> Note: the full multi-view raw frames (18,915 PNG + 5 MP4) are published with the **first session** `164634`; the other four recordings ship as compressed HDF5 trajectories.
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| 88 |
+
|
| 89 |
+
---
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| 90 |
+
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| 91 |
+
## 4. Camera Views & Frame Counts
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| 92 |
+
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| 93 |
+
| View directory | PNG frames | Video |
|
| 94 |
+
| --- | --- | --- |
|
| 95 |
+
| `head_global_depth_frames` | 5,567 | ✅ |
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| 96 |
+
| `right_hand_rgb_frames` | 3,091 | ✅ |
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| 97 |
+
| `head_zed_right_frames` | 2,631 | ✅ |
|
| 98 |
+
| `left_hand_rgb_frames` | 2,565 | ✅ |
|
| 99 |
+
| `head_zed_left_frames` | 2,548 | ✅ |
|
| 100 |
+
| `head_global_rgb_frames` | 2,524 | ✅ |
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| 101 |
+
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| 102 |
+
Frames are named `frame_%06d.png` (zero-based, contiguous) and align by index with the MP4 in the same view directory.
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| 103 |
+
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| 104 |
+
---
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| 105 |
+
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| 106 |
+
## 5. Download
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| 107 |
+
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| 108 |
+
### 5.1 huggingface-cli (recommended, resumable)
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| 109 |
+
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| 110 |
+
```bash
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| 111 |
+
pip install -U "huggingface_hub[cli]"
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| 112 |
+
export HF_ENDPOINT=https://hf-mirror.com # optional mirror for CN networks
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| 113 |
+
huggingface-cli download dex-robot/cap cap.zip --repo-type dataset --local-dir ./cap_data
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| 114 |
+
```
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| 115 |
+
|
| 116 |
+
### 5.2 Python
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| 117 |
+
|
| 118 |
+
```python
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| 119 |
+
from huggingface_hub import hf_hub_download
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| 120 |
+
p = hf_hub_download("dex-robot/cap", "cap.zip", repo_type="dataset")
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| 121 |
+
print(p)
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| 122 |
+
```
|
| 123 |
+
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| 124 |
+
### 5.3 Direct URL
|
| 125 |
+
|
| 126 |
+
```
|
| 127 |
+
https://huggingface.co/datasets/dex-robot/cap/resolve/main/cap.zip
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| 128 |
+
```
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| 129 |
+
|
| 130 |
+
---
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| 131 |
+
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| 132 |
+
## 6. Extract & Verify
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| 133 |
+
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| 134 |
+
```bash
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| 135 |
+
# integrity check (no output errors = OK)
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| 136 |
+
unzip -t cap.zip
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| 137 |
+
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| 138 |
+
# extract -> cap/
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| 139 |
+
unzip -q cap.zip
|
| 140 |
+
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| 141 |
+
du -sh cap
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| 142 |
+
```
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| 143 |
+
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| 144 |
+
Expected:
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| 145 |
+
|
| 146 |
+
```
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| 147 |
+
cap/
|
| 148 |
+
├── hdf5/ (5 .hdf5 files)
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| 149 |
+
└── raw_data/ (18,935 files)
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| 150 |
+
```
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| 151 |
+
|
| 152 |
+
---
|
| 153 |
+
|
| 154 |
+
## 7. Usage
|
| 155 |
+
|
| 156 |
+
### 7.1 Read an HDF5 trajectory
|
| 157 |
+
|
| 158 |
+
```python
|
| 159 |
+
import h5py
|
| 160 |
+
|
| 161 |
+
path = "cap/hdf5/cups_order_right_hand_20260707_164634/cups_order_right_hand_20260707_164634.hdf5"
|
| 162 |
+
with h5py.File(path, "r") as f:
|
| 163 |
+
def show(name, obj):
|
| 164 |
+
if isinstance(obj, h5py.Dataset):
|
| 165 |
+
print(f"D {name:50s} shape={obj.shape} dtype={obj.dtype}")
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| 166 |
+
else:
|
| 167 |
+
print(f"G {name}")
|
| 168 |
+
f.visititems(show)
|
| 169 |
+
```
|
| 170 |
+
|
| 171 |
+
### 7.2 Read image frames
|
| 172 |
+
|
| 173 |
+
```python
|
| 174 |
+
import cv2, glob
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| 175 |
+
|
| 176 |
+
frames = sorted(glob.glob(
|
| 177 |
+
"cap/raw_data/cups_order_right_hand_20260707_164634/"
|
| 178 |
+
"cups_order_right_hand_20260707_164634_extracted/observe/vision/"
|
| 179 |
+
"head_global_rgb_frames/frame_*.png"))
|
| 180 |
+
print("frames:", len(frames))
|
| 181 |
+
img = cv2.imread(frames[0])
|
| 182 |
+
print(img.shape) # (H, W, 3)
|
| 183 |
+
```
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| 184 |
+
|
| 185 |
+
---
|
| 186 |
+
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| 187 |
+
## 8. Recommended Environment
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| 188 |
+
|
| 189 |
+
```bash
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| 190 |
+
pip install h5py opencv-python numpy
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| 191 |
+
```
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| 192 |
+
|
| 193 |
+
- Python ≥ 3.8
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| 194 |
+
- ~15 GB free disk after extraction (raw PNG sequences are large)
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| 195 |
+
- `head_global_depth` may be 16-bit PNG or accompanied by `.npy` / `.raw` raw depth
|
| 196 |
+
|
| 197 |
+
---
|
| 198 |
+
|
| 199 |
+
## 9. License & Citation
|
| 200 |
+
|
| 201 |
+
- License: see the repo `LICENSE`; contact the publisher if unspecified.
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| 202 |
+
|
| 203 |
+
```bibtex
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| 204 |
+
@misc{cap_dataset_2026,
|
| 205 |
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title = {CAP: Cups Ordering Dexterous Manipulation Capture Dataset (Right Hand)},
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| 206 |
+
author = {dex-robot},
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| 207 |
+
year = {2026},
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| 208 |
+
howpublished = {\url{https://huggingface.co/datasets/dex-robot/cap}}
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| 209 |
+
}
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| 210 |
+
```
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| 211 |
+
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| 212 |
+
---
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| 213 |
+
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| 214 |
+
## 10. FAQ
|
| 215 |
+
|
| 216 |
+
**Q: Download interrupted?**
|
| 217 |
+
`huggingface-cli download` resumes automatically — just re-run the same command. Add `--max-workers 1` for a more stable (slower) transfer.
|
| 218 |
+
|
| 219 |
+
**Q: `unzip` says "End-of-central-directory signature not found"?**
|
| 220 |
+
The download is incomplete / truncated. Check that the file size is exactly **10,694,426,624 bytes**; if not, re-download.
|
| 221 |
+
|
| 222 |
+
**Q: I only need trajectories, not the 10 GB of images?**
|
| 223 |
+
Currently only the full bundle is published. Open a Discussion if you need a split release.
|
| 224 |
+
|
| 225 |
+
**Q: How do I align depth with RGB?**
|
| 226 |
+
`*_frames` and the MP4 of the same view share frame indices (`frame_%06d`). Cross-view alignment: use the calibration JSON under `raw_data/.../observe/vision/`.
|