[Request] Looking For Datasets Of 2D Point Sequences For Shape Approximation

I’ve been working on a library that approximates geometric shapes (circle, ellipse, triangle, square, pentagon, hexagon, oriented bounding box) from a sequence of 2D points.

• Given a list of (x, y) points, it tries to fit the best-matching shape.
• Example use case: hand-drawn sketches, geometric recognition, shape fitting in graphics/vision tasks.

I’d like to test and improve the library using real-world or benchmark datasets. Ideally something like:

• Point sequences or stroke data (like hand-drawn shapes).
• Annotated datasets where the intended shape is known.
• Noisy samples that simulate real drawing or sensor data.

Library for context: https://github.com/sarimmehdi/Compose-Shape-Fitter

Does anyone know of existing datasets I could use for this?