When train_model() is called with data_dir rather than dataset_id, it
auto-pins the dataset as _temp_<timestamp> (tagged temp = TRUE in
metadata) so training is reproducible. Those pins persist in
.petrographer/datasets/ and accumulate over time — each is a tar.gz of
the full dataset. This helper removes them.
Usage
clean_temp_datasets(board = NULL, confirm = interactive())