better use of hugging face infrastructure

for storage and compute: we need to make better use of the huggingface infrastructure. e.g., hf-mount (https://github.com/huggingface/hf-mount) could be a great way of handling very large datasets in resource constrained environments.

stream (https://huggingface.co/docs/datasets/en/stream) is also a nice way of handling large datasets.

we could also use zerogpu (https://huggingface.co/docs/hub/en/spaces-zerogpu) for GPU compute

it could be useful to create (and test) tools that agents can then use to more effectively research

No repository files, tests, or entry points are identified. Start by reviewing the hf-mount, Datasets streaming, and ZeroGPU references, then inspect how this repository could expose tools for agents. Narrow the proposal to one integration and define tests for its storage, dataset, or GPU-compute behavior before implementation.

Written by the indexing model from the issue text.