neurarch-ai/arch-selection-replay

Design selection replay: two trained campaigns and every selector tried The records needed to score a design selector offline, in the shape of xRouteBench: every candidate design was trained once and the outcome kept, so a rule that picks which unexecuted design gets the GPU is evaluated by replay against the same rows as every previous rule, with no GPU and no model call. Two campaigns, 24 in-sample and 15 held-out designs, each row carrying what a selector may see (task… See the full description on the dataset page: https://huggingface.co/datasets/neurarch-ai/arch-selection-replay.