Update dataset card: fix repo ID, add tar.gz download instructions

README.md

@@ -57,13 +57,15 @@ A curated subset of the [SuiteSparse Matrix Collection](https://sparse.tamu.edu/
 ```
 .
 ├── README.md
-├── manifest.parquet              # Matrix metadata (id, group, name, rows, cols, nnz, kind)
-├── suitesparse/
-│   ├── 2D_27628_bjtcai/
-│   │   └── 2D_27628_bjtcai.mtx
-│   ├── ACTIVSg2000/
-│   │   └── ACTIVSg2000.mtx
-│   └── ...                       # 867 matrix directories
+├── manifest.parquet              # Matrix metadata (browsable in HF Dataset Viewer)
+├── suitesparse_manifest.json     # Full manifest with all 867 matrix metadata
+├── suitesparse.tar.gz            # All 867 matrices (1.8 GB compressed, ~5.7 GB extracted)
+│   └── suitesparse/
+│       ├── 2D_27628_bjtcai/
+│       │   └── 2D_27628_bjtcai.mtx
+│       ├── ACTIVSg2000/
+│       │   └── ACTIVSg2000.mtx
+│       └── ...                   # 867 matrix directories
 └── benchmark_results/
     └── benchmark_gnp_paper.jsonl  # FGMRES benchmark with 6 preconditioners
 ```
@@ -103,23 +105,41 @@ All matrices originate from the [SuiteSparse Matrix Collection](https://sparse.t
 
 ## Usage
 
+### Download and extract all matrices
+
 ```python
-from scipy.io import mmread
+import subprocess
+from pathlib import Path
 from huggingface_hub import hf_hub_download
 
-path = hf_hub_download(
-    repo_id="Csed-dev/matrixpfn-base",
-    filename="suitesparse/ACTIVSg2000/ACTIVSg2000.mtx",
+DATA_DIR = Path("data")
+DATA_DIR.mkdir(exist_ok=True)
+
+hf_hub_download(
+    repo_id="Csed-dev/matrixpfn-suitesparse",
     repo_type="dataset",
+    filename="suitesparse.tar.gz",
+    local_dir=DATA_DIR,
 )
-matrix = mmread(path)
+subprocess.run(["tar", "xzf", str(DATA_DIR / "suitesparse.tar.gz"), "-C", str(DATA_DIR)], check=True)
+(DATA_DIR / "suitesparse.tar.gz").unlink()
+```
+
+### Load a single matrix
+
+```python
+from scipy.io import mmread
+
+matrix = mmread("data/suitesparse/ACTIVSg2000/ACTIVSg2000.mtx")
 print(f"Shape: {matrix.shape}, NNZ: {matrix.nnz}")
 ```
 
+### Browse the manifest
+
 ```python
 from datasets import load_dataset
 
-manifest = load_dataset("Csed-dev/matrixpfn-base", "manifest")
+manifest = load_dataset("Csed-dev/matrixpfn-suitesparse", "manifest")
 print(manifest["train"].to_pandas().head())
 ```