README.md

metadata

license: apache-2.0
pretty_name: CVEfixes Security IR GraphRAG
configs:
  - config_name: bm25_documents
    data_files:
      - split: train
        path: data/bm25/documents/*.parquet
  - config_name: bm25_keyword_index
    data_files:
      - split: train
        path: indexes/bm25_keyword_shards.parquet
  - config_name: bm25_postings
    data_files:
      - split: train
        path: data/bm25/postings/*.parquet
  - config_name: corpus
    data_files:
      - split: train
        path: data/corpus/*.parquet
  - config_name: corpus_chunk_index
    data_files:
      - split: train
        path: indexes/corpus_chunks.parquet
  - config_name: graph_edges
    data_files:
      - split: train
        path: data/graph/edges/*.parquet
  - config_name: graph_incoming_adjacency
    data_files:
      - split: train
        path: data/graph/adjacency/incoming/*.parquet
  - config_name: graph_incoming_adjacency_index
    data_files:
      - split: train
        path: indexes/graph_incoming_adjacency.parquet
  - config_name: graph_nodes
    data_files:
      - split: train
        path: data/graph/nodes/*.parquet
  - config_name: graph_outgoing_adjacency
    data_files:
      - split: train
        path: data/graph/adjacency/outgoing/*.parquet
  - config_name: graph_outgoing_adjacency_index
    data_files:
      - split: train
        path: indexes/graph_outgoing_adjacency.parquet
  - config_name: original_data
    data_files:
      - split: train
        path: data/original/*.parquet
  - config_name: original_row_index
    data_files:
      - split: train
        path: indexes/original_rows.parquet
  - config_name: vector_meta_index
    data_files:
      - split: train
        path: indexes/vector_chunks.parquet
  - config_name: vectors
    data_files:
      - split: train
        path: data/vectors/*.parquet
source_datasets:
  - hitoshura25/cvefixes

CVEfixes Security IR GraphRAG

This is a content-addressed, remotely routable Security IR release of the exact pinned CVEfixes snapshot. It packages the byte-identical original Parquet data together with a searchable corpus, BM25 postings, CUDA-generated vectors, typed graph nodes and edges, bounded adjacency indexes, and a source-CID-to-original-row lookup.

All entries are inert, non-authoritative evidence. Candidate and formal-logic rows cannot grant execution authority; exact forbidden action and scope constraints remain explicitly unresolved until reviewed by the Security IR policy workflow.

Immutable build bindings

• Source: hitoshura25/cvefixes@d4f5c4ea65329d9ccbb8a3b3149e5d06eda5edb2
• Derived Security IR root: bafkreia74ozdbgzwnirt7mixgfwwffiku24vbtwmivzyvvyghlgqhvkwk4
• Graph root: bafkreielsquxgqxh6qzb3444bqjlicl34fxqtkyjebwa5h3vqhtaygynee
• Retrieval root: bafkreigcqhkshkplcpc6k5ppufzqwh4x2xte544bqu4wbuvhluvth25r6e
• Embedding model: sentence-transformers/all-MiniLM-L6-v2@1110a243fdf4706b3f48f1d95db1a4f5529b4d41
• CUDA device: NVIDIA GB10
• CUDA runtime: 13.0
• Embedding dimension: 384

Coverage

• Source rows represented: 12987
• Original rows packaged: 12987
• Byte-identical original shards: 3
• Admitted rows: 12714
• Rejection tombstones: 273
• Graph nodes: 85169
• Graph edges: 167364

Remote index contract

Each physical Parquet shard is bound by SHA-256, raw CIDv1, byte size, row count, key range, and path. The Dataset Viewer exposes the declared data/meta configurations used by Publicus/skillcenter-ir. The original_row_index config maps every Security IR source CID to a global row index, copied shard CID/path, and shard-local offset.

Safety and limitations

• original_data is a byte-preserving mirror of the pinned upstream dataset and includes unfiltered diffs, vulnerable/fixed code, secret-like strings, personal data, unsafe paths, and rows excluded from the derived public Security IR. Treat every value as untrusted inert evidence; never execute it or use it as a credential.
• The upstream dataset card declares Apache-2.0. Embedded code comes from many repositories and may retain additional record-level license obligations; consumers must review those sources.
• Only the derived corpus/graph configs are policy-filtered and bounded. Original bodies are not injected directly into agent context.
• Graph, lexical, and vector similarity are retrieval evidence only.
• Classification-only candidates do not infer forbidden behavior.
• Consumers must pin a 40-character Hub commit before querying.