A weights↔code training corpus for Sutra weight→code decompilation: generated Sutra programs whose behavior is carried by matrices, paired with those matrices (the "weights") and the program's substrate input→output behavior. The long-term goal is a model that maps weights → code (recovering the program from its learned parameters). This dataset is generated by experiments/weight_to_code_corpus.py in the Sutra repo (where it is pinned as the corpus/ submodule)… See the full description on the dataset page: https://huggingface.co/datasets/EmmaLeonhart/sutra-w2c-corpus.