README.md

---
license: other
license_name: mixed-see-below
pretty_name: KING2 Stickman Dataset
language:
- en
tags:
- stick-figure
- pose
- stickman
- line-drawing
- text-to-image
- lora
task_categories:
- text-to-image
size_categories:
- 10K<n<100K
---

# KING2 Stickman Dataset — 10,085 images

Curated dataset of stick-figure images with English captions, built for training the
**KING2-IMAGE** SDXL LoRA — model `RASHID778/king2-image`, adapter `stickman`.

Two parts with **different licenses** — see the License section before reuse:

| Range | Count | Source | License |
|---|---|---|---|
| `images/000000.png` – `009999.png` | 10,000 | HumanML3D motion-capture renders (synthetic skeleton) | Research use — see below |
| `images_commons/010000.png` – `010084.png` | 85 | Real illustrations, Wikimedia Commons | Per-image CC0/PD/CC BY/CC BY-SA — see `ATTRIBUTION.md` |

Note: the Commons addition lives in a **separate `images_commons/` / `captions_commons/`**
directory pair, not inside `images/` — Hugging Face caps git directories at 10,000 files,
and `images/` is already exactly at that cap.

## Sources

| Source | Contribution |
|---|---|
| [Deepthought42424/humanml3d_stick_figures_5_frames](https://huggingface.co/datasets/Deepthought42424/humanml3d_stick_figures_5_frames) | 29,228 motion sequences (832,864 frames scanned) — primary image source |
| [hassanjbara/humanml3d_stick_figures](https://huggingface.co/datasets/hassanjbara/humanml3d_stick_figures) | 21 sequences (subset of the same corpus, deduplicated by sample_id) |
| [HumanML3D texts](https://github.com/EricGuo5513/HumanML3D) | official motion descriptions used as captions (keyed by sample_id) |
| [Wikimedia Commons](https://commons.wikimedia.org/) | 85 real hand-drawn / vector stickman illustrations, individually license-verified (see `ATTRIBUTION.md`) |

A wider search of Hugging Face, Kaggle and GitHub (keywords: stickman, stick figure,
line drawing, skeleton drawing, stickman pose/action…) found **no other public dataset**
of comparable scale and usable licensing for the primary 10,000-image corpus.

## Pipeline (images 000000–009999)

1. **Frame selection** — for every motion sequence, 3 candidate frames at 30/50/70% of
   the motion were decoded and the highest-scoring mid-action pose kept (1 image per
   sequence, maximizing pose diversity).
2. **Quality scoring (1–10)** — heuristic on ink ratio, contrast (std), figure bounding-box
   coverage and edge clipping. Only images with **score ≥ 8** were kept.
3. **Deduplication** — exact + near-duplicate removal via 256-bit dHash with 32-bit-band
   LSH (Hamming ≤ 12): **5,936 near-duplicates removed** (23,292 unique remained).
4. **Standardization** — every image converted to **1024×1024, RGB, PNG** (source frames
   are square 512×512 renders; LANCZOS upscale — lossless in practice for line art).
5. **Captioning** — the official HumanML3D text for each motion, rewritten to stickman
   phrasing (e.g. *"a person is taking a picture"* → *"a stickman is taking a picture,
   simple black and white stick figure line drawing"*), plus derived action tags.
6. **Final selection** — top 10,000 by quality score.

## Addition (images 010000–010084): real Wikimedia Commons illustrations

The pipeline above produces motion-capture-derived skeleton poses only (see
*Known limitations* below). To add real hand-drawn/vector stickman art, Wikimedia
Commons was searched (category `Stick figures` + full-text search for
"stickman"/"stick figure"/"Strichfigur"), and every candidate's `imageinfo` license
metadata was fetched via the Commons API and checked programmatically — only files
tagged Public Domain, CC0, CC BY, or CC BY-SA (with no "trademarked"/other restriction
flag) were kept. Results were then manually filtered for actual relevance (excluding
lookalike matches like ancient pottery depicting a "youth with a stick", museum
walking-stick artifacts, and real-world hazard-sign photography) and for safe subject
matter. Each kept image was normalized to 1024×1024 RGB PNG (aspect-preserving resize,
centered on a white canvas, matching the rest of the dataset) and captioned from its
Commons title.

**Full per-image attribution (author, license, source link) is in `ATTRIBUTION.md`** —
required reading before reuse, since CC BY / CC BY-SA require attribution and
ShareAlike compliance on redistribution.

## Structure

```
dataset/
├── images/              10,000 × 1024×1024 RGB PNG (000000.png … 009999.png) — HumanML3D
├── captions/             one .txt caption per image (same basename)
├── images_commons/        85 × 1024×1024 RGB PNG (010000.png … 010084.png) — Wikimedia Commons
├── captions_commons/       one .txt caption per image (same basename)
├── metadata.jsonl          file_name, caption, tags, source, + per-source fields (all 10,085 rows)
├── ATTRIBUTION.md           per-image author/license/source for images_commons/*
└── README.md
```

## metadata.jsonl examples

HumanML3D-derived (000000–009999):
```json
{"file_name": "images/000000.png", "caption": "a stickman walking in a strong manner, simple black and white stick figure line drawing", "tags": ["stickman", "stick figure", "pose", "line drawing", "minimal", "black and white", "walking"], "quality_score": 10, "source": "humanml3d_stick_figures_5_frames", "sample_id": "...", "frame_index": 12}
```

Wikimedia Commons addition (010000–010084):
```json
{"file_name": "images_commons/010000.png", "caption": "a stickman illustration, simple black and white stick figure line drawing", "tags": ["stickman", "stick figure", "wikimedia-commons", "real-illustration"], "source": "wikimedia_commons", "commons_title": "File:HD@DH.nrw Strichfigur 1.svg", "commons_url": "https://commons.wikimedia.org/wiki/File:HD@DH.nrw_Strichfigur_1.svg", "license": "CC BY 4.0", "license_url": "...", "artist": "HD@DH.nrw | Michelle Dahlmanns"}
```

## Known limitations

- **Single visual style (000000–009999)**: all HumanML3D-derived images are thick-stroke
  skeleton renders on white — no head circle, no colors, no backgrounds, no objects.
  The 85-image Commons addition partially addresses this with real illustrated
  stick-figure art, but is still a small sample relative to the main corpus.
- **Single figure per image (000000–009999)**: HumanML3D motions are single-person; no
  multi-figure scenes (a few images in the Commons addition do show multiple figures).
- **License is mixed — read before reuse:**
  - `images/000000.png`–`009999.png`: HumanML3D derives from AMASS/HumanAct12, which
    carry academic/research licenses. The upstream HF datasets declare no explicit
    license. Treat this range as **research use**; review licensing before commercial
    deployment.
  - `images/010000.png`–`010084.png`: each image is individually Public Domain, CC0,
    CC BY, or CC BY-SA — see `ATTRIBUTION.md` for the exact license and required
    attribution per file. CC BY-SA files impose ShareAlike obligations on redistribution
    of derivative datasets (not on model weights trained from them).