WhySoCodius/in-context-grid-reasoning

In-Context Grid Reasoning (ICGR) A small, fully synthetic benchmark for demonstration-conditioned rule induction: each task shows 2–4 (input grid → output grid) support pairs that share one hidden transformation, and the model must apply the same transformation to a held-out query input. It targets the same behaviour probed by recent in-context / latent-reasoning work on ARC-AGI (e.g. BDH-CQ: In-Context Learning with Recurrent Latent Reasoning, arXiv:2608.09888), but is… See the full description on the dataset page: https://huggingface.co/datasets/WhySoCodius/in-context-grid-reasoning.