datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.snowball-replay
Snowball Hugging Face row replay
This repository identifies the upstream Hugging Face rows retained in the Snowball pretraining store. It contains row locators and mixture metadata, not source documents or token arrays. A reader does not need Marin, private GCS access, or either of the earlier Snowball index repositories.
Get the selected rows
Install Python 3.12 or newer, then run:
python -m pip install huggingface_hub pyarrow zstandard
hf download… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/snowball-replay.