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CyBiasBench v1.0.0

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@taeng0204 taeng0204 released this 19 Oct 08:47
· 11 commits to main since this release

This release brings the CyBiasBench benchmark data, analysis code, and
re-experiment harness into the public repository. The twelve CSV and Parquet
files are unchanged from the snapshot evaluated during peer review. They retain
the original automatic labels; human verdict sheets and human-corrected
success-policy results are not included.

Included

  • 630 session records, per-family companion tables, and 277,135 sanitized
    request-level traces covering five agents and three web targets.
  • Reproducible session-bootstrap ASR intervals, request-counting-unit and
    target comparisons, bias-momentum correlations, random-forest agent
    identification, and temporal diagnostics.
  • Complete regeneration of the dashboard summary from public CSVs, including
    selection/diversity metrics, JSD, correlations, and token costs.
  • Benchmark harness, schema documentation, reproduction guide, datasheet,
    Croissant core/RAI metadata, and citation information.
  • Updated dashboard wording and uncertainty displays. The dashboard source
    now lives under dashboard/, while benchmark data and tools live at the
    repository root.

Validation

  • Trace-to-record count closure for all 630 sessions.
  • All 1,195 existing dashboard numeric values reproduced within 1e-12;
    two independent full builds produced identical summary files.
  • Croissant validation: zero errors and warnings. All six RecordSets loaded
    successfully from the public tag URLs, with matching hashes, file sizes,
    column mappings, and row counts (280,444 rows across all tables).
  • Seven estimator/check-mode tests, dashboard lint, TypeScript, and production
    build passed.
  • The NeurIPS-linked online checker passed JSON, Croissant schema,
    Responsible AI metadata, and records generation checks.
  • GitHub Pages build and deployment succeeded; the live dashboard summary
    matches the published source.

The twelve data files retain their original checksums. Dataset files and
accompanying documentation use CC BY-NC-ND 4.0; code uses MIT.

Reproduction guide
· Croissant metadata
· Paper