wha-spell-simulator/labelled-samples

WHA Spell Simulator Glyphs

Crowdsourced handwriting samples of signs and sigils from the fan-made Witch Hat Atelier spell simulator. Contributors drew each glyph freehand in the project's Sample Maker tool; every sample was human-reviewed and only approved samples are included. Strokes are simplified (polling-rate invariant) and normalised to the 0..1 range, preserving aspect ratio.

vector config

One record per sample:

• —id — content hash of the raw sample
• —sample_id — database sample id
• —sign — glyph class label
• —data — list of strokes; each stroke is a list of {t, x, y} points (t in ms from first pen-down, x/y normalised to 0..1)
• —pose — normalized reference overlay center, scale, and rotation targets

from datasets import load_dataset
vector = load_dataset("wha-spell-simulator/labelled-samples", "vector")

image config

Rasterised strokes as images with a class label, embedded in Parquet.

from datasets import load_dataset
images = load_dataset("wha-spell-simulator/labelled-samples", "image")

Provenance & licensing

Collected via the WHA spell simulator Sample Maker. Samples contain no personal information: only ids, class labels, stroke geometry, normalized pose targets, and non-identifying capture metadata survive the export pipeline.