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every-eval-ever/submission/1.0
csoai/gspc-33
https://councilof.ai/benchmarks
https://councilof.ai/api/gspc
https://councilof.ai/verify
did:web:csoai.org#card-attestation-1
10.57967/hf/gspc-boards
Exact two-sided McNemar p < 0.05 on discordant items vs best third-party base model; Track A (Third-Party Base) vs Track B (CSOAI/MEOK Overlays) strictly separated.

CSOAI GSPC-33 Living Benchmark Suite (csoai-gspc)

Council of AI (CSOAI Ltd, UK Companies House 16939677) — Independent AI-behaviour measurement body.
Live Scoreboard: https://councilof.ai/benchmarks · Live API: https://councilof.ai/api/gspc · Free Ed25519 Verifier: https://councilof.ai/verify

Doctrine: Measurement, never certification. UNMEASURED is first-class (33 declared axes · 23 measured on live board + 10 frozen n=32 >= 30 subject-family candidate banks included in this repository). SEPARATED requires exact paired McNemar $p < 0.05$ on discordant items (b, c) against the best base model; otherwise TIE.


1-Line Runnable Harnesses (Run GSPC on Your Model Today)

A. UK AISI Inspect AI (inspect_ai)

pip install inspect-ai "git+https://huggingface.co/datasets/csoai/gspc-benchmark-suite.git#subdirectory=pypi"
inspect eval csoai_gspc/governance --model openai/gpt-4o

B. EleutherAI lm-evaluation-harness (lm_eval)

git clone https://huggingface.co/datasets/csoai/gspc-benchmark-suite
lm_eval --model vllm --model_args pretrained=meta-llama/Llama-3.3-70B-Instruct --include_path ./gspc-benchmark-suite/lm_eval/tasks/gspc --tasks gspc_governance

C. Kaggle Community Benchmarks (@kbench.task)

Import kaggle/kaggle_benchmark_notebook.py directly into Kaggle Benchmarks to evaluate frontier models on GSPC with paired McNemar separation and Ed25519 receipt verification.

D. Linux Foundation / AAIF OpenEnv (0.2.1)

Use openenv/openenv-manifest.json (reset(), step(), state()) for containerized multi-turn tool and sandbox boundary evaluation.

Measurement, not certification. Anyone can re-check at https://councilof.ai/verify

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