Amartya77/Arithmetic

Recursive Arithmetic Transformer training frames There was no static training file. The model sampled integers online every step. This dataset replays that sampler with the same Python RNGs used in train_recursive: RNG Seed What it draws mix_rng seed + 91 task mix, operand lengths, integers offset_rng seed + 17 Position Coupling origin seed = 42 for every run. Each train() call resets both RNGs, so later finetunes are not a continuation of earlier streams.… See the full description on the dataset page: https://huggingface.co/datasets/Amartya77/Arithmetic.