diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1be7f3df8cfb18f235bac1d075e4049bac0fbdc7 --- /dev/null +++ b/README.md @@ -0,0 +1,48 @@ +--- +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. 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