general-eval-card / tests /fixtures /manifest.json
Jenny Chim
Deploy DuckDB-backed frontend to
da8db3e
Raw
History Blame
2.92 kB
{
"$comment": "Pinned snapshot of HF cache files used by Tier A pipeline-contract tests and Tier B adapter snapshot tests. Refresh via `pnpm refresh-fixtures`. Each fixture entry has a `why` field explaining the specific code path it exercises (multi-variant model, first/third-party badge, Safety regression-bait, coding hierarchy key, etc). Curation rule: every fixture must justify its inclusion via `why`; no random sampling.",
"snapshot_source": ".cache/hf-data",
"snapshot_ts": "2026-04-27T22:32:59.376Z",
"evals": [
{
"id": "apex_v1",
"why": "Mercor first-party badge; pipeline category=knowledge; subtasks"
},
{
"id": "artificial_analysis_llms_artificial_analysis_aime",
"why": "Artificial Analysis third-party badge; source_type=documentation in pipeline"
},
{
"id": "helm_classic_truthfulqa",
"why": "Safety regression-bait β€” pipeline category=knowledge but inferCategoryFromBenchmark returns Safety"
},
{
"id": "helm_safety_simplesafetytests",
"why": "Safety regression-bait β€” pipeline category=general for an obvious safety eval"
},
{
"id": "helm_capabilities",
"why": "Composite parent eval; pipeline category=knowledge"
},
{
"id": "helm_lite_narrativeqa",
"why": "Subtask leaf under helm_lite parent; pipeline category=reasoning, regex returns General"
},
{
"id": "appworld",
"why": "Pipeline category=coding (one of the 3 keys we added to PIPELINE_CATEGORY_MAP); inferCategoryFromBenchmark returns Agentic"
}
],
"models": [
{
"id": "openai__gpt-5-2-pro",
"why": "5 variants β€” exercises variant_lookup and per-variant grouping in flattenModelEvaluations"
},
{
"id": "google__gemini-3-flash",
"why": "Already covered by parity harness; medium-size; multi-category hierarchy"
},
{
"id": "ai21__j1-grande-v1-17b",
"why": "Has `safety` hierarchy_by_category key"
},
{
"id": "bytedance__seed-2-0-lite",
"why": "Has `coding` hierarchy_by_category key (the substring-fallacy bug case); small"
}
],
"developers": [
{
"id": "openai",
"why": "KNOWN_DEVELOPER_NAMES canonicalization (openai β†’ OpenAI)"
},
{
"id": "anthropic",
"why": "Multiple model families; typical case"
},
{
"id": "01-ai",
"why": "Dash-prefix slug β€” exercises pipelineSlugify edge case"
}
],
"model_cards": [
{
"id": "openai__gpt-5",
"why": "6 variants; rich top_benchmark_scores; hfModelCardToEvaluationCardData edge case"
},
{
"id": "anthropic__claude-opus-4.5",
"why": "Dotted route_id (vs dashed in model detail files) β€” capturing the route-id mismatch"
},
{
"id": "01-ai__yi-34b",
"why": "Developer name canonicalization (01-ai β†’ 01.AI per KNOWN_DEVELOPER_NAMES)"
}
]
}