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license: cc-by-nc-4.0
language:
- en
tags:
- pose-estimation
- walking
- 2d-pose
- mediapipe
- motion-dataset
- quality-vision
- biometrics
- human-computer-interaction
- rehabilitation-data
- sports-science
- motion-capture
pretty_name: QualityVision Walking Sample (compact, 2D pose)
size_categories:
- n<1K
# Hub dataset viewer: only load frame rows from data.jsonl (do not merge with metadata/*.json).
configs:
- config_name: default
data_files:
- split: train
path: "data.jsonl"
---
# QualityVision Walking Sample (compact)
**Need production-scale pose data?** Browse **ready-made JSONL bundles** (thousands of HQ frames, full manifests, schema docs) and **Dataset Lab** plans on **[qvision.space — Dataset pricing](https://qvision.space/dataset-pricing)**. This Hub repo is a **small non-commercial sample** so you can validate parsing and quality before you buy.
**Small** **high-quality 2D pose** clip for **walking**, exported from the [Quality Vision Motion Dataset Engine](https://github.com/Alaaharoun/QualityVision-Motion-Dataset-Samples) pipeline: **HQ frame filtering**, optional **temporal smoothing** on accepted frames, and **sequence diagnostics** in `features.json`.
## This sample vs full commercial exports
| | **This Hub sample** | **Paid exports & Lab** ([pricing](https://qvision.space/dataset-pricing)) |
|---|---------------------|----------------------------------------------------------------------------|
| **Scale** | Compact clip (**~80 rows** in `data.jsonl` on the Hub) | **Thousands** of HQ frames across curated bundles; higher caps via annual frame quotas |
| **Use case** | Parse the format, prototype models, academic / NC research under the license | Production datasets, larger actions (e.g. running, dancing bundles), repeatable exports |
| **Support** | Community / docs on GitHub | Checkout via Gumroad; **commercial licensing** and custom scope quoted separately |
| **Deliverables** | JSONL + `metadata/*` as listed below | Full `dataset/` trees (manifests, diagnostics, SHA256, optional one-pager PDFs) per product page |
**Export format:** 2D landmarks in **normalized image space** (see `features.json`). This sample does **not** include raw video files.
For the **full 24-source bulk export** (~967 HQ frames, ~2901 merged rows, mean quality ~0.82), clone the GitHub repo and use `bulk_24_videos_6a173caf_dataset/`, or mirror [`README_HF_BULK.md`](https://github.com/Alaaharoun/QualityVision-Motion-Dataset-Samples/blob/main/README_HF_BULK.md) to a separate Hugging Face dataset via `scripts/upload_bulk_to_huggingface.ps1`.
## Files
| File | Description |
|------|-------------|
| `data.jsonl` | One JSON object per line: normalized image-space keypoints, timestamps, optional Layer 1.1 metadata. |
| `metadata/features.json` | Sequence-level aggregates (visibility, hip motion, `motion_consistency`). |
| `metadata/global_stats.json` | Job-level roll-up for this clip. |
| `metadata/manifest.json` | Export metadata (format compatible with the Motion Dataset Engine). |
| `metadata/export_quality_report.json` | Pilot-oriented quality summary. |
Auxiliary JSON files live under `metadata/` so the Hub **dataset viewer** only builds previews from `data.jsonl` (avoids schema clashes with report objects).
## Usage
```python
from datasets import load_dataset
# If you load as JSON lines:
ds = load_dataset("Alaaharoun/QualityVision-walking-sample", data_files="data.jsonl", split="train")
```
Or download raw files:
```python
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="Alaaharoun/QualityVision-walking-sample",
filename="data.jsonl",
repo_type="dataset",
)
```
## License
**CC BY-NC 4.0** — see repository `LICENSE` on [GitHub](https://github.com/Alaaharoun/QualityVision-Motion-Dataset-Samples). **Non-commercial** use is allowed under the license terms. **Commercial** redistribution or product use requires a **separate agreement** — see **[Dataset pricing & contact](https://qvision.space/dataset-pricing)** for ready-made bundles and licensing.
## Citation
```bibtex
@misc{qualityvision_walking_sample,
title = {QualityVision Walking Sample (2D Pose)},
author = {Alaaharoun},
howpublished = {\url{https://huggingface.co/datasets/Alaaharoun/QualityVision-walking-sample}},
year = {2026},
}
```
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