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Add dexterous hand sample: bulk_9_videos_933d5ad5 (9112 merged rows, wrist-relative fields + motion_intelligence)
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---
license: cc-by-nc-4.0
language:
- en
tags:
- hand-tracking
- pose-estimation
- mediapipe
- robotics
- imitation-learning
- motion-dataset
- quality-vision
pretty_name: High-Quality Dexterous Hand Movements (Sample)
size_categories:
- 1K<n<10K
---
# High-Quality Dexterous Hand Movements — sample
This Hugging Face dataset is a **non-commercial sample** export from the **Quality Vision Motion Dataset Engine**: **MediaPipe Hands** (21 landmarks) + optional **dexterous analytics** and hand **motion_intelligence**.
**This is a sample, not the full commercial pack.**
For **larger commercial batches** (e.g. **~140k+ HQ frames**, multiple clips segmented for **specific dexterous motions**), see **[Dataset pricing](https://qvision.space/dataset-pricing)** and contact **info@qvision.space**.
## Files
This repo mirrors the `dataset/` folder layout used in production exports:
| Path | Description |
|------|-------------|
| `data.jsonl` | Merged HQ rows (one JSON object per line). |
| `per_video/` | Per-source `video_*.jsonl` and `rejected_*.jsonl`. |
| `features.json`, `global_stats.json` | Sequence / batch aggregates (includes dexterous histograms). |
| `manifest.json`, `bulk_combined_manifest.json` | Export metadata + post-processing flags. |
| `export_quality_report.json` | HQ threshold summary + acceptance rate definition. |
| `SCHEMA.md`, `ONEPAGER.md` | Human-readable schema + one-page snapshot for sharing. |
Raw source videos are **not** included in this repo (JSONL + metadata only).
## Usage
```python
from datasets import load_dataset
ds = load_dataset(
"Alaaharoun/High-Quality_Dexterous_Hand_Movements_Dataset",
data_files="data.jsonl",
split="train",
)
```