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
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. 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 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) | |
|---|---|---|
| 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 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
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:
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. Non-commercial use is allowed under the license terms. Commercial redistribution or product use requires a separate agreement — see Dataset pricing & contact for ready-made bundles and licensing.
Citation
@misc{qualityvision_walking_sample,
title = {QualityVision Walking Sample (2D Pose)},
author = {Alaaharoun},
howpublished = {\url{https://huggingface.co/datasets/Alaaharoun/QualityVision-walking-sample}},
year = {2026},
}