{ "$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 — pipeline category=knowledge but inferCategoryFromBenchmark returns Safety" }, { "id": "helm_safety_simplesafetytests", "why": "Safety regression-bait — 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 — 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 → OpenAI)" }, { "id": "anthropic", "why": "Multiple model families; typical case" }, { "id": "01-ai", "why": "Dash-prefix slug — 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) — capturing the route-id mismatch" }, { "id": "01-ai__yi-34b", "why": "Developer name canonicalization (01-ai → 01.AI per KNOWN_DEVELOPER_NAMES)" } ] }