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Download README.md from KinGeorge/Dr.Sparse-RL-train-607: direct link, hf CLI and curl.
- Browser
- Download file 853 Bytes
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https://huggingface.co/datasets/KinGeorge/Dr.Sparse-RL-train-607/resolve/main/README.md
- Command line
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hf download hf://datasets/KinGeorge/Dr.Sparse-RL-train-607/README.md
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curl -L -o README.md https://huggingface.co/datasets/KinGeorge/Dr.Sparse-RL-train-607/resolve/main/README.md
853 Bytes
Dr.Sparse SpGEMM training pool (607 matrices)
The complete RL / selector training pool of Dr.Sparse (branch v2): 607 SuiteSparse matrices in the
harness .bin layout (int32 rows, cols, nnz; int32 row_ptr; int32 col_ind; float32 values; float32 x),
laid out as level1_small/ (91), level2_medium/ (273), level3_large/ (198), level4_huge/ (45).
Every matrix has a cuSPARSE SpGEMM reference (C = AA, or AA^T when rectangular) on an H200;
the 27 that do not are listed in spgemm_excluded.txt and are not included. None of the OTF-81 test
matrices (level_sparse/otf_test_set.csv in the repo) is included. train.jsonl is the per-matrix
prompt file the RL launcher reads; manifest.csv lists rows, cols, nnz and level.
python level_sparse/extend_pool.py --hf-download KinGeorge/Dr.Sparse-RL-train-607 --out /big/disk/train607 --link-into level_sparse