README.md

metadata

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 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

from datasets import load_dataset

ds = load_dataset(
    "Alaaharoun/High-Quality_Dexterous_Hand_Movements_Dataset",
    data_files="data.jsonl",
    split="train",
)