Datasets:

RASHID778
/

king-image-stickmann

@@ -1,78 +1,125 @@
----
-license: other
-license_name: research-use-humanml3d-derived
-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 — 10,000 images
-Curated dataset of **exactly 10,000** stick-figure pose images with English captions,
-built for training the **KING2-IMAGE** SDXL LoRA — model `RASHID778/king2-image`, adapter `stickman`.
-## 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) |
-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.
-## Pipeline
-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.
-## Structure
-```
-dataset/
-├── images/          10,000 × 1024×1024 RGB PNG (000000.png … 009999.png)
-├── captions/        one .txt caption per image (same basename)
-├── metadata.jsonl   file_name, caption, tags, quality_score, source, sample_id, frame_index
-└── README.md
-```
-## metadata.jsonl example
-```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}
-```
-## Known limitations
-- **Single visual style**: all images are thick-stroke skeleton renders on white —
-  no head circle, no colors, no backgrounds, no objects. For a general-purpose
-  stickman model, mix with synthetic cartoon-style stickman images from the
-  SDXL-Turbo generator in notebook `king2_stickman_pipeline.ipynb`.
-- **Single figure per image**: HumanML3D motions are single-person; no multi-figure scenes.
-- **License**: HumanML3D derives from AMASS/HumanAct12, which carry academic/research
-  licenses. The upstream HF datasets declare no explicit license. Treat this dataset as
-  **research use**; review licensing before commercial deployment.

+---
+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).