PuzzleComm/Puzzle_Perception

Puzzle Perception — Segmentation + pVQA A single table over two tasks on synthetic puzzle images: Segmentation — per-pixel masks over chess, maze and tower-of-hanoi under one unified 30-class label space. pVQA — multiple-choice perception probes over chess and N-Queens boards. Every row carries the same 13 columns; the type column says which task it belongs to, and columns that do not apply are null. from datasets import load_dataset ds =… See the full description on the dataset page: https://huggingface.co/datasets/PuzzleComm/Puzzle_Perception.