| ---
|
| pretty_name: SGPL local benchmark graphs
|
| language:
|
| - en
|
| tags:
|
| - graphs
|
| - graph-algorithms
|
| - benchmarking
|
| - pagerank
|
| - shortest-paths
|
| ---
|
| # SGPL local benchmark graphs
|
|
|
| The **61-graph local corpus** used for BFS, SSSP, connected components, and PageRank benchmark campaigns. This is the exact input corpus used in the local experiments through 24 October 2026; it is not the complete upstream graph collections.
|
|
|
| Each graph is a separate `.tar.gz` archive. `manifest.json` records its original graph identifier, vertex/arc counts, direction settings, source vertex, synthetic-weight provenance, and SHA-256 checksums for the archive and every graph file. File bytes are preserved from the frozen benchmark inputs. No benchmark is run when packaging these files.
|
|
|
| ## Files in each graph archive
|
|
|
| - `original.edges`: original benchmark edge-list input; integer vertex IDs, retaining its original occurrence order and duplicate edges.
|
| - `graph.bin`: exact prepared binary CSR input used by the local graph benchmark harness. This is a benchmark-specific binary representation, not an Arrow or Parquet dataset. Its header is 64 bytes; vertex count and arc count are little-endian uint64 values at byte offsets 16 and 24. They are followed by `n` little-endian uint64 row offsets and `m` little-endian uint32 destination IDs. The terminal row offset is the header's `m`.
|
| - `weighted-original.wel`: original edge-list occurrences with the benchmark's synthetic SSSP weights added as a third column.
|
| - `weights.f32`: little-endian float32 synthetic weights in prepared CSR arc order, used by the saved Graptor comparison.
|
| - `weights.i32`: the same synthetic weights as little-endian signed int32 in prepared CSR arc order.
|
|
|
| The original edge list and prepared CSR need not have the same row count. Use the manifest's direction/storage fields: undirected inputs are represented with both arc directions in CSR. Preserve duplicate edges and sparse vertex IDs when reproducing the benchmarks.
|
|
|
| ## Synthetic SSSP weights
|
|
|
| Weights are **synthetic positive integers from 1 through 255**, generated with seed **2358**. They must not be described as original or real-world edge weights. The two weight sidecars have the same numeric values and differ in encoding. BFS, CC, and PageRank use the unweighted topology.
|
|
|
| ## Download and extract one graph
|
|
|
| ```python
|
| from huggingface_hub import hf_hub_download
|
| import tarfile
|
|
|
| archive = hf_hub_download(repo_id="ksahib/graphs",
|
| filename="dimacs__hamming8-2.tar.gz", repo_type="dataset")
|
| with tarfile.open(archive, "r:gz") as graph_archive:
|
| graph_archive.extractall("graphs", filter="data")
|
| ```
|
|
|
| ## Integrity and provenance
|
|
|
| `SHA256SUMS` covers the distributed archives and manifest. Each archive contains only the five graph-input files listed above. The package excludes source code, binaries, logs, credentials, private machine paths, and performance reports.
|
|
|
| The graph identifiers and collection group names are retained from the frozen benchmark manifest. That manifest does not establish a corpus-wide redistribution license or complete original download URLs; no new license is asserted here. Consult the relevant upstream graph collection's terms before reuse.
|
|
|
