diff --git a/offers/govtech-faq-routing-latency-aware-bilingual-20260222_161934/govtech-faq-routing-latency-aware-pack-bilingual-4001-20260222161853_enriched.csv b/offers/govtech-faq-routing-latency-aware-bilingual-20260222_161934/govtech-faq-routing-latency-aware-pack-bilingual-4001-20260222161853_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..55062b82941d75c61e751f211878601b75be8947
--- /dev/null
+++ b/offers/govtech-faq-routing-latency-aware-bilingual-20260222_161934/govtech-faq-routing-latency-aware-pack-bilingual-4001-20260222161853_enriched.csv
@@ -0,0 +1,10001 @@
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+10,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 10-307317.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+12,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 12-446470.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+17,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 17-269725.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+18,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 18-484107.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+19,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 19-746106.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+20,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 20-525888.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+21,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 21-266902.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+22,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 22-841787.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+23,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 23-643628.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+24,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 24-880027.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+33,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 33-617818.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+35,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 35-173321.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+38,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 38-351464.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+39,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 39-189850.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+40,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 40-308648.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+41,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 41-409275.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+43,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 43-821642.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+48,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 48-395274.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+49,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 49-323633.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+50,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 50-391797.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+51,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 51-539521.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+52,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 52-541181.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+53,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 53-613672.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+54,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 54-344398.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+55,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 55-752045.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+56,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 56-421958.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+57,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 57-899686.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+58,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 58-923033.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+59,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 59-496374.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+60,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 60-529160.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+61,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 61-581901.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+62,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 62-736474.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+63,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 63-687203.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+64,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 64-909625.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+65,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 65-720823.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+66,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 66-157029.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+68,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 68-740952.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+69,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 69-341482.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+70,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 70-245440.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+71,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 71-758547.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+72,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 72-161407.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+73,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 73-926588.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+74,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 74-265729.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+75,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 75-566459.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+76,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 76-109841.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+77,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 77-659947.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+78,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 78-211795.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+79,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 79-594277.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+80,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 80-176695.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+81,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 81-727334.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+82,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 82-431810.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+83,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 83-660294.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+84,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 84-438789.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+85,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 85-331831.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+86,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 86-704901.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+88,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 88-661585.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+89,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 89-128714.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+90,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 90-240991.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+92,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 92-597784.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+93,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 93-146408.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+94,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 94-995181.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+95,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 95-830747.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+96,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 96-400168.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+97,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 97-522472.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+98,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 98-181531.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+99,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 99-903642.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 100-805795.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 101-720114.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 102-991172.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 103-770573.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 104-471171.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 105-757266.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 106-441297.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 107-148269.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 108-137538.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 109-903836.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 110-695924.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 111-368497.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 112-321316.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 113-566400.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 114-824747.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 115-362416.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 118-385076.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 119-441391.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 120-848099.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 121-550387.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 122-582546.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 123-425133.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 124-566124.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 125-106550.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 126-496410.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 127-622449.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 128-111872.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 129-199701.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 130-305126.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 134-153647.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 137-330336.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 138-596863.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 139-570515.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 140-312647.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 142-698429.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 143-307293.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 156-307343.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 169-447575.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 170-650253.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 171-514746.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 173-655321.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 175-666031.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 176-914034.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 177-563954.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 178-723816.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 180-558429.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 183-939998.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 185-506601.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 188-542202.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 189-758264.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 190-174175.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 191-260165.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 192-354382.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 193-458114.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 194-421459.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 195-988797.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 196-915942.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 197-732682.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 198-919278.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 199-487169.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 202-412095.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 203-262401.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 204-615916.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 205-827140.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 211-416541.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 212-222452.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 215-875775.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 216-332906.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 219-335829.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 220-120514.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 221-373792.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 223-225851.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 224-696699.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 225-649832.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 226-882677.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 230-927016.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 231-729407.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 234-164463.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 244-103762.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 250-749472.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 281-576480.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 283-534750.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 290-315784.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 301-132971.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 308-116539.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 311-398803.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 313-255051.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 315-995305.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 316-115618.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 333-970674.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 345-919192.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 346-744733.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 357-781924.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 361-698480.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 364-144145.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 375-922467.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 392-173146.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 396-517727.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 397-527481.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 505-769442.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 510-749369.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 513-598957.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 515-164838.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 562-385376.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 563-405327.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 567-521463.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 569-668896.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 571-792525.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 575-416085.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 576-246493.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 583-671901.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 584-600866.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 587-552339.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 588-525658.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 589-968721.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 590-544373.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 591-672321.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 592-545321.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 593-963220.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 594-866216.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 596-872698.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 599-313917.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 600-389462.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 601-205126.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 603-481616.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 611-632277.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 612-565400.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 615-877966.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 617-402868.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 618-823849.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 619-473071.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 621-803128.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 622-147760.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 623-745274.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 624-293123.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 626-146992.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 627-494976.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 628-273037.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 629-414069.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 630-211697.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 631-464927.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 632-656485.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 633-109702.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 634-446701.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 635-898874.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 636-851424.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 639-402760.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 641-432229.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 642-978011.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 644-564353.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 645-975884.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 647-815031.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 648-317526.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 649-100693.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 650-499952.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 651-302875.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 664-362030.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 665-390198.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 667-550641.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 672-797921.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 673-247632.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 674-718123.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 675-627739.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 676-671505.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 677-996398.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 678-173914.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 679-902661.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 680-514263.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 681-443830.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 683-565715.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 699-964834.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 700-703933.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 701-959811.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 702-492314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 703-681520.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 704-626077.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 705-717677.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 706-538490.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 707-189807.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 708-233419.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 709-176850.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 710-504640.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 711-621068.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 712-512649.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 713-582266.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 714-536337.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 715-620212.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 716-684781.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 717-727928.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 718-425884.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 719-779462.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 721-332764.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 722-869750.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 723-159554.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 724-719898.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 725-724628.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 726-257339.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 728-976743.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 729-666464.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 730-489572.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 731-107286.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 732-184448.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 733-424436.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 734-810521.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 735-153096.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 736-440955.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 737-148219.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 738-109834.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 739-483780.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 740-816366.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 741-307161.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 742-372893.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 743-401084.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 744-509888.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 745-418770.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 746-616864.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 747-390822.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 748-642451.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 749-387407.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 750-146522.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 752-558298.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 753-759222.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 754-862676.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 755-619143.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 756-481493.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 757-919888.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 758-844945.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 759-776633.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 760-490739.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 761-831243.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 762-417839.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 763-895286.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 764-538997.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 765-721249.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 766-938894.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 767-978824.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 768-851367.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 769-242492.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 770-704692.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 771-123614.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 772-305972.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 773-192617.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 774-740872.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 775-526018.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 776-366924.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 777-767558.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 778-515918.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 779-667559.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 780-735727.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 781-751308.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 782-787171.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 783-291180.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 784-726703.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 785-565629.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 786-630203.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 787-393299.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 788-170403.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 789-696989.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 790-301637.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 791-654987.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 792-934567.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 793-208462.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 794-664902.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 795-724333.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 796-560118.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 797-351117.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 798-745335.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 799-849130.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 800-934592.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 801-324311.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 802-741011.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 803-120464.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 804-385018.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 806-246237.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 807-492963.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 808-559462.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 810-169994.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 811-802086.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 812-358044.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 813-130543.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 814-150217.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 815-773196.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 816-419914.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 817-644400.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 818-751321.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 819-443906.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 820-924197.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 821-622412.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 822-330025.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 823-899412.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 824-787255.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 825-205760.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 826-456973.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 827-551043.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 828-397630.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 829-116900.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 830-283233.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 831-891688.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 832-912667.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 833-967233.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 834-657790.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 835-724754.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 836-553491.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 837-894712.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 838-792254.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 839-231632.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 840-553570.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 841-361571.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 842-935142.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 843-349711.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 844-181434.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 845-158433.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 846-509658.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 847-643682.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 848-601900.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 849-541921.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 850-442557.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 851-235529.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 855-815023.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 865-492405.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 867-156744.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 868-377428.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 869-129388.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 870-635348.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 871-846522.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 874-650945.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 875-237626.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 876-329585.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 878-913613.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 880-855593.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 882-389450.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 890-456375.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 895-364752.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 896-674635.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 897-677246.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 898-423816.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 899-605270.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 900-651409.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 901-959975.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 902-225889.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 903-888012.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 904-366139.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 905-930458.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 906-947799.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 908-206215.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 909-119001.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 910-621353.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 911-647406.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 913-969749.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 914-832605.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 915-675867.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 916-247668.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 917-442531.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 918-754030.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 919-482369.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 920-557712.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 921-559692.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 922-531713.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 923-695452.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 924-311815.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 925-325332.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 926-266834.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 927-916245.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 928-556352.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 929-603843.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 930-711809.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 931-409523.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 932-430773.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 933-785791.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 934-746240.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 935-838310.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 936-727166.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 937-153095.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 938-739303.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 939-861392.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 940-514721.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 941-158532.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 942-244085.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 943-238148.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 944-670394.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 945-640772.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 946-520626.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 947-325332.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 948-139168.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 949-778134.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 950-399893.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 951-838294.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 952-567133.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 953-650236.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 954-557089.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 955-697911.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 956-553987.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 957-122643.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 958-839400.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 959-870173.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 960-704871.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 961-987177.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 962-752509.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 963-168785.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 964-585695.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 965-381691.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 966-443846.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 967-349398.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 969-776676.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 971-259228.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 972-619479.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 973-529582.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 974-938739.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 975-219003.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 976-408976.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 977-372675.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 979-645765.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 980-981076.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 981-820912.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 982-835258.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 983-928679.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 984-554477.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 985-241161.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 986-711438.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 987-222307.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 988-705739.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 989-442267.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 990-683201.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 991-534291.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 992-480217.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 993-442236.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 994-142026.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 995-971339.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 996-303206.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 997-714045.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 998-135006.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 999-584004.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1000-566730.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-182295.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-429301.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-832297.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1004-774845.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-433836.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-942581.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-448072.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-408727.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-944534.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-218213.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-625571.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-573503.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1013-942767.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1014-453521.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-978016.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-172132.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1017-445734.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1018-864318.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1019-608873.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-786649.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-666168.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1022-139643.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-352790.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-101028.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1025-953877.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-215291.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-926435.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-167802.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-690923.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-221023.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1031-489574.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-917763.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-458033.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-171870.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1035-622337.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-634856.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-154352.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1038-785160.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-570262.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-225626.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-632709.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-916433.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-120370.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-319206.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-460958.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1046-838728.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-999173.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-346366.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1049-707783.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1050-243879.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-747366.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-856275.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-188748.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-126073.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-309272.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1056-942551.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1057-865043.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1058-471357.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1059-492060.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-882312.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-597334.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1062-968426.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-261680.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1064-421991.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-104720.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-212008.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-449647.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1068-997709.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-328318.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-164136.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1071-153098.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-336698.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-268319.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-543329.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-826424.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-875202.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-178149.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-774834.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1091-429632.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1092-133336.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-502603.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-362328.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-504339.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-518100.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1098-700874.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-580129.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-916200.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1101-230874.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1102-520502.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1103-532720.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-948127.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-569298.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-352902.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-689038.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-767796.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-452890.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1110-553860.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-784464.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-747836.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-119644.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1114-393992.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1115-632597.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-956940.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-351405.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-154662.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1119-221941.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-505118.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1121-950920.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1122-206132.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-769274.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-337398.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-887224.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-220644.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-508407.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-420852.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-375324.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1130-968566.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-369691.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-791147.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1133-568327.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-646426.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-419260.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-804029.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1137-616605.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-448373.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-530339.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-565643.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-406354.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-820777.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-645391.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-797165.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-700213.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-539059.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-769618.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-545753.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-672868.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-425326.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-365693.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-516980.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-813884.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-720300.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-619847.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1156-655978.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-330623.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-627742.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1159-644449.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-208451.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-529895.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-431109.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-964760.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-344752.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-552236.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-276901.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-673522.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-973368.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-679847.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1170-955501.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-262863.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-419160.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-466876.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1174-311706.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1175-470592.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-527702.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1177-310038.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-140331.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1179-362531.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1180-666612.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-999758.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-770821.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-107638.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1184-127434.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1185-891684.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1186-195731.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1187-380177.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-100308.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-950696.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-651549.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1191-792678.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-628490.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-458933.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-992262.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1195-151531.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-158465.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-953572.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-349923.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-846434.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-164020.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1201-208034.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1202-598822.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1203-795376.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-291587.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1205-334311.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-136815.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-920286.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1208-323015.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-248713.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-956321.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-718614.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-140257.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1213-239803.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-971584.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1215-496165.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1216-111418.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-987201.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-141362.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-342546.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1220-304475.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-702478.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-224533.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-190486.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-946253.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-894782.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-726852.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-198508.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-816546.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-862396.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1230-911297.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-106094.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-437554.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-293645.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-436249.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-360452.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-688422.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-463667.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-217447.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-756643.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1240-171462.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-174614.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-511115.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-877392.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-963150.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-264563.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-314493.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1247-176173.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-721935.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-716024.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-637868.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-674158.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-841997.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-420052.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-816006.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-483547.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-910949.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-588156.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-612975.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-957236.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-306562.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-543560.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1262-614381.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1263-562879.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1264-635564.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-339908.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-757128.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-767616.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-341265.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-711198.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1270-672970.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-464457.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1272-757902.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1273-668065.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1274-431568.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-810878.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-388518.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-831853.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-653108.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-270203.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-658186.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-566335.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-544012.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-778560.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1284-420897.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-881342.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-967004.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1287-806813.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-306056.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1289-180800.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-611356.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-620617.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1292-887205.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-527474.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1294-895350.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-750119.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-905262.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-206775.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-602351.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-554538.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-991614.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1302-369512.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-296086.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1304-598829.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1305-540002.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-920991.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1307-283975.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-517616.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-813478.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-885753.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1311-555181.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-126531.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-203568.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-841194.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-320144.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1316-238725.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1317-760622.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-491021.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-477682.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1320-328608.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-863288.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-987907.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-110595.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-472877.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-644160.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-163074.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-833604.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-425157.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-768855.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1330-982569.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-216491.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-797318.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-737351.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1334-769644.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1335-166862.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-627216.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-489980.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-808127.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1339-815522.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1340-976367.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-610683.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-494867.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1343-947377.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-465605.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1345-375540.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-875649.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-201965.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-947004.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1349-950108.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-759963.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-394240.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-994697.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1353-855829.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-355027.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-245368.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1356-673905.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1357-994570.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1358-424810.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-963719.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1360-710643.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-374425.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-963770.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-254717.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-963933.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1365-232621.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-313985.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-143128.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-858550.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-856968.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-187605.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-436124.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1372-705714.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-480728.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-923249.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-816284.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-586648.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-103004.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-130371.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-724695.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-380112.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1381-666802.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-240018.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-937855.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1384-139302.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-505854.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-657533.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-807017.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1388-620713.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-607139.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1390-124970.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-222723.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-171185.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1393-104975.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-413853.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1395-340782.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-268640.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1397-726840.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-429632.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-279953.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-166215.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-385315.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-466326.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-750087.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-889397.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1405-554995.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-397747.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-199562.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-702554.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-476428.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-632002.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1411-167944.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-115505.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1413-302489.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-665790.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-350744.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-640743.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1417-800415.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-737242.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-899136.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-134539.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1421-300912.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1422-464585.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1423-733237.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-552717.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-124326.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-329874.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-640555.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-209170.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-763776.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-508525.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-311527.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-373355.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-954043.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-255260.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-338207.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-563940.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-856293.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-135629.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-830024.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-981738.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-475170.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-206570.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-416465.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-947114.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-401301.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-706415.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-142684.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-772250.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-151196.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-451344.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-986273.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-403999.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-891630.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-829395.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1455-738492.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-802307.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-213053.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-149957.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-381604.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-367732.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1461-641843.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-571816.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1463-580891.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-860947.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-192251.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1466-980423.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1467-672388.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1468-594314.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-821916.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1470-360814.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-408084.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-208559.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1473-810721.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-681359.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-676750.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-970640.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-689794.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-913555.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-976057.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-171096.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-547230.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-694154.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-884444.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-598399.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-795737.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-619980.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-318304.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1488-324993.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-584438.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-959649.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-130616.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-756088.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-741560.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-843090.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-666333.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-667348.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-440154.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1498-171203.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1499-484183.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-916875.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-320767.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1502-242765.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1503-845462.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-108288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1505-973859.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-350116.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1507-617368.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-289378.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-763885.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1510-815935.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1511-568782.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-107668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1513-489066.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-888754.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-129961.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1516-388903.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-351043.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-582771.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-337015.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-591885.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1521-853303.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-854740.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-480008.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-206119.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-140602.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-721112.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-268398.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-812149.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-537636.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-957727.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-191549.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-752409.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-769596.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-914969.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1535-307349.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-804098.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-449392.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-660445.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-378660.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-912106.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-887146.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-747282.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-542293.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-636312.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1545-213892.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1546-829136.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1547-446516.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-132629.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-282326.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1550-371158.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-496238.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-149709.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1553-103836.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-247967.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-732521.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1556-159790.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-165988.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-348807.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-826571.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-927436.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-659045.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-594231.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1563-853209.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1564-338673.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-173803.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-360146.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-979527.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-151040.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-788843.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-951480.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-210970.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-232103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-766434.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-890036.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-128765.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-175036.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-298003.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1578-609372.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-344474.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-862275.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-248363.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-660462.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-289043.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-894979.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-395266.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1586-534544.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-785484.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-239164.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-605501.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1590-348988.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-121819.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-381722.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-524840.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1594-932792.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1595-255597.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-480009.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-879862.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-901112.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1599-861691.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-990467.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-435878.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-888948.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-293455.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-580397.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-519726.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-417311.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-720912.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-246393.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-512078.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-755736.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-721057.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-842743.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-187281.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-364364.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-481377.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-415447.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1617-346957.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-558442.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-155913.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-647682.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-615807.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-658753.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-195749.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-163264.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-546083.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-507475.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1627-453179.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1628-144536.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-944226.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-165070.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-784641.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-274629.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-649370.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1634-745063.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-652636.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1636-620604.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-279450.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-423269.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-995743.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-224210.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-138295.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-489811.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1643-226304.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-310277.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-409381.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-694102.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-460456.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1648-315928.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-707028.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-182533.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1651-885814.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-279944.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-704357.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-177457.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-938387.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-588854.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-297484.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-291299.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1659-383195.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-602017.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-303455.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-183204.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-632620.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-212669.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-140636.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-913696.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1667-504540.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-785817.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-693342.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1670-548109.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-895645.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1672-897019.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1673-828438.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1674-332535.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1675-447759.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-633600.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-460632.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1678-424089.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-601464.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-278362.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-646358.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1682-266901.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-405154.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-973795.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-460159.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-793702.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-409829.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-121199.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-470734.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-308151.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1691-559657.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-953618.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1693-969380.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-705802.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-294924.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1696-219623.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-260381.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-634925.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1699-624533.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-754838.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-310255.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-260448.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-455546.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1704-266359.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-725745.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-660284.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-784346.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-372855.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1709-186907.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-577385.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-232716.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-788873.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-704964.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-278530.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-130303.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-427527.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1717-165642.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1718-420425.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1719-427515.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-521987.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-367678.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-293056.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-898887.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-621353.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-693028.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-307308.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-400522.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-468560.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-931332.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1730-772198.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-631038.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-202574.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-646740.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-119372.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-776946.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-367540.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-585554.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-572791.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-381816.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-992616.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-280285.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-412129.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-554439.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-577136.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-519584.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1746-300396.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1747-823755.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-345987.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-649914.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-837057.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-681664.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-239396.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1753-880560.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-221150.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-407966.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-798568.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-900507.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-504151.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1759-423479.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1760-170779.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-358031.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-234916.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1763-108003.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1764-626129.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-245419.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-234379.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-431602.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1768-772887.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-713462.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-841731.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-690558.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-498384.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-209434.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-595329.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-719855.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-744100.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1777-350670.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-858815.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-241867.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-503536.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-604358.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1782-840686.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-277432.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-733492.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-310670.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-177292.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-196342.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-325917.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-210818.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-556947.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-681751.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1792-194801.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-868024.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1794-252225.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1795-363714.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-491514.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-151429.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1798-637505.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-603810.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1800-120906.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-788683.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-830059.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-970129.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-289169.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1805-316984.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-600036.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1807-391243.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1808-107102.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-999342.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-145016.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-436378.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-424063.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-551304.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1814-408926.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1815-367410.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-498797.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-626123.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-299022.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1819-747826.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-134410.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1821-758398.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-281846.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-165690.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-139523.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-813939.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-293611.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-392537.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1828-803220.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-145438.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-192820.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1831-948052.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-937598.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-404083.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-462025.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1835-585869.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-139958.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-611708.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-840344.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-157453.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-929109.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-381252.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1842-882521.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-607886.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-716943.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-238292.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1846-723438.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-966972.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-974039.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1849-499111.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1850-879450.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-608416.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-947613.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-165135.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-875867.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-697195.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-554530.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-668891.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-245898.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1859-270586.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-189598.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-152181.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-926296.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-772475.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-525477.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-841751.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-794986.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1869-847154.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+1871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-947574.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1872-442451.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-307853.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-115102.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-121931.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-858518.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1877-238783.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1878-395849.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-405908.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1880-171966.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-270138.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1882-309424.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-816242.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-385213.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-590402.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1886-346609.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-375200.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-201611.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-115577.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-857716.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-123386.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-800759.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-109885.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-660855.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1895-367393.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-408737.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-519121.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-570288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1899-723887.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-671292.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-907668.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-199394.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-701999.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-936751.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-596355.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-575906.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-781843.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-570807.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-807801.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-850037.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1911-671019.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-593069.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-289257.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1914-553574.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-454330.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-456175.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-296432.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1918-702012.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-354257.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1920-711881.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1921-723959.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-450332.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-703453.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-910255.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-557316.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-358896.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-210125.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1928-316260.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-426356.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-653279.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-717480.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1932-136809.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1933-268146.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-270708.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-697872.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-796022.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-976643.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1938-758296.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-854919.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1940-407554.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-988133.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-925296.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-387338.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-728070.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-866117.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-469675.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-359741.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-424508.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-187390.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-940328.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-662384.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-872393.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-808742.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-738845.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-783232.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-978139.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-152915.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-828701.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-874098.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-573751.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-561917.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-433975.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-861332.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-689684.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-940849.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-158643.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-930956.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-811065.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-293970.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-910726.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-241303.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-772021.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-351791.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-631861.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-953772.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-779794.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-961359.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-426178.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-260299.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-705242.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-760892.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-692205.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-114070.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-472001.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-219202.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-974091.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-955760.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-697655.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-755587.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+1990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-381962.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-255968.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-625966.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-673431.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-474103.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-453330.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+1996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-473510.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+1997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-499722.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+1998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-239251.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+1999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-275443.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-830011.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-424767.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-680326.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-250672.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-973085.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-759921.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-522936.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-899220.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-234855.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-999861.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-764462.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-724939.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-625527.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-681537.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-772350.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-938294.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-901850.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-515949.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-151217.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-145093.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-585319.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-156322.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-858387.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-748375.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-438193.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-268966.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-742635.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2027-770157.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-802803.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-286222.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-411513.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-768304.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-308916.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-318597.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2073-659198.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-951897.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-283729.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-437404.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-376075.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-193413.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-793868.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-409131.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-126019.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-133868.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2084-380663.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-906881.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-391428.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2100-561778.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-371208.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2102-302359.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-339997.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-215401.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2105-473087.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-299737.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2107-270619.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-684871.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-521166.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-621288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-305754.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-931745.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-382476.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-755350.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2115-289986.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2116-424062.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-412284.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-241018.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-198088.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-364622.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-240479.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2124-662934.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2125-619278.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-265197.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-513217.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-481712.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-873552.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-971296.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-206895.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-360656.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2133-911190.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-976868.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-373511.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-704804.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2137-341858.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2138-686458.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-893386.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-660647.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-330748.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-171313.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-418403.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-310427.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2147-915262.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-839790.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-874550.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2150-147554.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-809806.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-890032.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2154-516391.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2156-194254.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-287662.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-117765.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-493535.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-455523.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-483087.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-275122.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-203933.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2165-696455.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-464028.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-485733.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2168-896429.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-441156.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-793096.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-482688.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-496489.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-702172.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-880605.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-697674.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-875799.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-116720.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-254198.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2179-551550.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-623706.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-108987.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-244630.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-394878.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-316054.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-728868.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-686026.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2188-948681.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-271898.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-190071.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-912015.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-789830.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-841004.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2194-870027.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-843425.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-819163.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-796583.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2198-718514.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-980380.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2200-950441.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-849965.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-750841.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2203-118193.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-148841.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2205-101969.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2206-576014.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-895115.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-132207.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-819683.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-130973.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-933744.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2212-374043.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2213-360149.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2214-444913.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-501230.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-553929.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-819728.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-803812.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2219-758386.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-669271.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-641290.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-234078.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-688522.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-195880.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2225-982854.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-998695.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-132060.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-899700.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-955335.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-402015.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2231-743544.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-605157.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2233-429894.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-437855.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-245993.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-359172.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-332697.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2238-570681.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-740969.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2240-996025.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-174249.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2242-869057.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2243-435582.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-712052.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-227370.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2246-540653.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-692824.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-661248.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-930197.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-233566.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-886713.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-464524.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-256149.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2254-811909.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2255-129880.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2256-222218.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2258-252517.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-100713.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-839916.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-487009.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-986623.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-298518.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-803846.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-873254.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-765616.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-835427.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-694113.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-966528.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-444722.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-488535.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-493919.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2278-541235.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2279-918296.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-563681.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-600057.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-656332.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2283-929079.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-371667.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2285-478186.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2286-793410.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-221950.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-835273.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2289-745837.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-168109.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2291-401333.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2292-486581.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-111035.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-571295.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-358991.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-814633.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-593136.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-579954.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2299-780656.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-727431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-738290.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-540027.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2303-626704.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-479814.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-970415.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-765476.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-817839.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-175223.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-276308.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2310-975081.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2311-429972.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-998498.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-851520.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-416310.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-488253.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-847733.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-323803.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-919496.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-536967.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2320-107545.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-760656.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2322-229423.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-605734.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-909609.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-540622.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-131116.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-415412.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-895081.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-820991.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-106853.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-746951.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-548901.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-326374.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-902496.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-871469.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-331099.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2337-373886.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-340188.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-131320.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-180638.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-436842.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-290606.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-475521.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2344-819523.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-260597.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-848440.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-933304.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2348-411991.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-708965.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2350-359156.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-352233.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-187762.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-421714.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-351061.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-960062.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-844699.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-153990.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2358-274448.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2359-710152.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-841017.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2361-127215.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-817879.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-795996.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-531966.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-825989.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2366-522264.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-536735.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-303670.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-884632.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-910394.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-414021.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-263580.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2373-346921.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-334576.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-969791.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2376-638421.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-517145.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-113214.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-793698.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-444538.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-843341.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-170901.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-644838.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-757804.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-714529.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-883788.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-622886.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2388-189731.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-685780.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-949974.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-417812.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-523662.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-323773.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-234501.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-753058.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2396-824563.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-505244.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2398-233696.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-848946.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-915815.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-749261.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-228130.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-707250.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-328094.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-970731.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-520699.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-188426.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2408-770816.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-632750.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-504218.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-242746.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-105949.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-264046.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-651089.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-537593.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-913422.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-599383.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2418-982826.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-593809.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-466516.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-259189.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-888778.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-730069.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-998386.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-622261.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2426-236456.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-387543.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-299291.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2429-273616.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-203421.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-989401.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-908834.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-932280.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2434-597994.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2435-383885.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-326750.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-636437.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-471971.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-701088.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-484564.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-760171.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-302488.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-767134.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-624219.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-803973.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-444891.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-645917.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-459229.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-659829.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-728988.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-908767.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-277144.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-746821.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-839496.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2455-358632.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-892751.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-387640.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-897878.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-377331.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-722933.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-626813.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-657099.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2463-794024.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2464-209521.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-913210.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-765593.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-134341.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2468-527585.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2469-985689.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-685288.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2471-396319.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-806694.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-100065.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-138274.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-305152.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-726460.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-832799.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-341380.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-762306.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-818209.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-662866.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-384865.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-918336.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-376254.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-719385.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-904884.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2487-421049.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-643367.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2489-133652.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-939441.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-306268.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-567479.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-654365.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-238533.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-548704.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-701394.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-853598.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2498-425672.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-131280.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-786258.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2501-799042.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2502-590200.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2503-856663.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-667871.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-356739.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-180641.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-581781.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2508-601405.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2509-323136.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2510-886448.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-621949.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-600247.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-218551.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-263316.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-282102.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-302329.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-619434.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2518-154423.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-374946.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-619501.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-741521.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-375125.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-112626.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-481228.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2525-412703.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-304324.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-106641.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-744727.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-543972.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-341919.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2531-101222.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-995986.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2533-183278.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2534-192661.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2535-557700.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2536-907961.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-746633.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-818509.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-712038.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-330868.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-493309.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-351344.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-867759.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-732159.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-416461.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-662334.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-692482.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-753389.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2549-797203.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2550-704953.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-956146.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-700209.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2553-695052.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2554-644221.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-232089.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2556-333540.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-941523.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-257999.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-316035.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2560-933371.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-388112.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-594016.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-714798.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2564-612395.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-779303.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-905526.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-495028.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-885698.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-132171.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2570-243056.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-473582.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-416858.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-776388.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-885743.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-350972.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-701693.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2577-505689.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2578-798601.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-153760.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-938518.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2581-239545.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-618236.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-543673.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-459838.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-645578.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-321669.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-319951.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2588-296496.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-247723.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-153645.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2591-158468.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2592-442359.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2594-102252.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-431241.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-514652.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-769503.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-928580.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-450237.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2600-789920.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-156435.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-156891.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-206761.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2604-124349.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-523366.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-545818.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2607-509650.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2608-222905.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2609-940771.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2610-991315.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-697701.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2612-220415.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-440272.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-413496.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-124900.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-710052.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2617-914452.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-408337.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-444533.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-924202.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-205149.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2622-318314.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2623-260675.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-173797.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-804563.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-325880.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2627-163637.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-318347.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-515811.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-505466.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-278930.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-362730.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-737645.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-140419.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-973539.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-286819.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2637-297427.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-754983.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2639-339147.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-423094.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-316250.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-324962.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-655714.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-161961.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-536108.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-964351.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-204154.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-341152.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-932543.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-913231.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2651-934347.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-763903.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-298303.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-520220.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-138641.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2657-780358.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-881010.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-285163.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-669162.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-696554.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-574564.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-603394.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-186802.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2665-812029.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-923336.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2667-243285.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-191887.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-843357.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-427929.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-860238.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-114416.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-998361.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-932896.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-757049.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-933711.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-350076.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-416170.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-867967.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-963031.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-372025.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2682-472781.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-826868.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-545535.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-452263.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-161681.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-720013.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2688-891125.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-235938.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2690-427384.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-531842.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-848329.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-871492.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2694-176042.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-520899.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-753832.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-342970.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2698-125434.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-597286.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-736819.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-791971.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-297716.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-435402.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-873538.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-125993.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-411187.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-193889.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-229203.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-786133.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-953973.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2711-961207.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-616827.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2713-956022.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-612257.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-738561.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-103390.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2717-565358.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-349847.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-130665.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-427323.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-632505.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-352710.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2723-869222.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-482092.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-838418.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-345501.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2727-232766.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-617545.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-780669.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-637632.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2731-207445.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2732-351638.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-402410.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-537876.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-252889.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-789207.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-201727.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-787036.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-413741.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2740-334550.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-175286.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-507552.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-866696.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-254257.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-269418.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-691535.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-790140.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-133712.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2749-484446.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-700563.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-505897.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-180685.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-979362.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-445442.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-758918.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-937741.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-257754.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2758-519718.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-306725.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-115929.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-616941.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-704596.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-344404.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-624205.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2765-308084.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-977209.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-325671.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-907553.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-365418.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-404856.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2771-252724.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2772-774525.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-896772.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-581549.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-850767.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2776-308431.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-534445.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-129632.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2779-573287.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-944393.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-662304.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-117160.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-648766.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2784-342200.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-447339.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-700339.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-388855.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-862996.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-432663.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-677518.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-288683.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2792-113390.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-785185.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2794-954016.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-159041.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-456381.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2797-684146.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2798-921626.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-405779.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-118260.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-927086.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-102964.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-465158.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-317927.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-413611.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-427439.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-740426.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-373170.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-766033.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-407247.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-704156.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-734466.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2813-175432.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-547417.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-623307.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-691262.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-150076.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-737355.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-375896.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-658049.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-469256.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2822-356572.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2823-745894.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2824-274545.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-781074.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-227708.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2827-764357.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-161191.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-792355.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-422268.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2831-294413.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-399785.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-212186.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-806775.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-633390.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-562061.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-461874.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-332702.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2839-902304.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-308344.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-182377.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-405366.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-127241.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-576474.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-444101.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-838687.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-877267.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-612688.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-332295.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-823874.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-895374.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-101398.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-324412.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-433005.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2855-737516.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-184184.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2857-701115.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2858-476295.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-871857.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-542477.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-180334.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-229774.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-479118.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2864-380411.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2865-865845.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-840397.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-400346.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-845049.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-800670.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-379536.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2871-219179.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-844523.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-666259.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2874-147694.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-490404.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-691719.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2877-992018.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-958458.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2879-844717.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2880-288115.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-971512.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-270189.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2883-520103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-507084.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-391718.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2886-472614.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-213833.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-940222.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2889-596091.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-372692.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-917852.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-712505.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-519699.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-492796.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2895-307187.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-713466.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-521867.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2898-946802.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-766195.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-303715.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-773864.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2902-918111.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-916873.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2904-907154.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-396190.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-778041.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-194445.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2908-545822.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-860689.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2910-215063.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-702272.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2912-805202.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2913-822721.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-462255.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-220823.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-951021.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-655800.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-473597.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-451433.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-580227.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-652758.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-445137.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-521096.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-179269.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-924341.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2926-177808.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2927-738876.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-526358.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-759453.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-284822.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2931-173682.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-558782.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2933-963439.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-388550.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2935-942508.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-223226.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-554824.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-219099.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-986287.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-523574.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-183157.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2942-674914.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-935516.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2944-160054.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-679140.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2946-167016.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2947-210613.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2948-352490.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-982673.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2950-553571.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-784818.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-570931.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-827480.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-809895.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-347690.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-176879.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-776188.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-194766.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2959-134168.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-487607.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-346309.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-562373.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-227012.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-661022.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-556514.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2966-854184.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-744295.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+2968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-390415.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2969-517958.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-562341.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2971-659746.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-507405.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+2973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-312207.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-191146.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-323751.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-900766.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-204636.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-585474.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-174982.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-212440.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+2981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-271820.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+2982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-290350.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-605216.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+2998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2998-416767.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+2999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2999-620188.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3001-560068.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3002-265148.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-762438.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-382529.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-536890.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-377317.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-839087.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3008-992028.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3009-467472.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-659159.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3012-238639.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3013-961231.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-442361.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-906797.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-799410.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-709852.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-994764.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-216126.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-186205.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-499881.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-830347.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3032-621396.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3033-857929.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-492638.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-436093.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-361122.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3037-506080.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-428003.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-726049.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-603097.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-627097.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-770744.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-529566.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-925357.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-946514.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-494756.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-562479.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-931259.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-265769.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-889691.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-757508.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-418340.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-873873.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-264942.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3055-597657.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-715139.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3057-348082.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3058-312211.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3059-385694.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-751101.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-551859.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3062-121005.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3063-298659.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3064-379779.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3065-350852.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-853598.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3067-167266.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3068-864516.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-307372.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-825913.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-723428.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-862679.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-188457.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-794371.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-250872.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-772556.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-802834.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3078-518703.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-641010.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-482654.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-436128.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-330548.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-203086.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-588856.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-319299.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-652456.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-354466.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-531906.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-298439.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-800746.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3091-395122.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3092-598360.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-263677.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-385369.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-175829.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-171334.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-437387.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-133788.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3100-526222.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3101-616735.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-464472.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-611913.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-293511.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-855433.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3107-909553.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-286459.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-845536.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-643819.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-649782.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3112-561019.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-339423.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-485309.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-905377.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-621797.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-422352.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-549758.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-793449.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3120-422124.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-338735.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-972047.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-501154.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3124-466199.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-563743.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-399883.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3127-920702.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-383910.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-246537.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3130-469972.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-910429.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3132-423300.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-898473.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-896334.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-691999.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-822397.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3137-740970.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-403558.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-132129.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-928382.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-694250.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-467864.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-589381.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-563708.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-753731.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-689276.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-950828.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3148-760612.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-652420.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-730100.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-785709.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-650869.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3153-228999.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-565209.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3155-539772.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-756115.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3157-975669.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-663460.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-890989.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-852936.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-198417.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3162-353875.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-799073.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-190511.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-966961.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-514147.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3167-247893.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-531093.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-130310.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-599559.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3171-913743.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-857083.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-362482.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-857762.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3175-617417.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-838820.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-157454.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-588403.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-601314.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-591871.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-758539.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3182-618639.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-412676.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3184-167641.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-670775.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-314126.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-179760.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-164606.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-706834.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3190-525723.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3191-249401.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-561807.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-359886.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-297276.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-780406.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-780612.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-839141.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-594816.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3199-377012.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-749602.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3201-100834.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3202-138593.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-781834.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-856267.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-353084.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-431235.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-235607.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3208-803135.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-701232.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-651411.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-511348.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3212-988248.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-763294.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-370913.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3215-251012.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-508937.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-984157.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-839117.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-317218.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-173406.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-962726.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-107481.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-241471.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-318202.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-702309.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-688646.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-111606.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-284213.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-280193.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-391626.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-139061.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-613691.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-182177.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-969211.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3235-511764.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-619687.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-822151.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-128258.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-985433.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3240-868187.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-509833.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-924578.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-351961.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3244-325082.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-227032.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-743956.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3247-718433.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3248-679600.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-976882.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-233147.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-138662.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-929078.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-536449.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-477488.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-445491.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-175066.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-892301.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-362571.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-175965.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-176785.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-584947.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-162065.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-750244.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-521244.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3265-234987.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-632577.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-306709.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3268-858637.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-974214.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-870500.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-880500.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-845819.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-278387.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-875341.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-836262.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3276-734421.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-340501.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-221767.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-578718.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3280-336711.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-380567.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-435797.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3283-175984.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-284446.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-990140.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-116349.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-299913.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-806906.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-964668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3290-284264.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-839618.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-384971.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-605520.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-428796.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-979013.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-323844.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-404307.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3298-294513.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-265829.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-604884.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3301-822770.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3302-274277.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3303-907103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-654892.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-349462.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-895846.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-484180.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-325831.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-141229.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-662915.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3311-129677.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-450938.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-593911.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-159260.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-809806.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-344270.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-883645.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-312480.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3319-906606.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-247929.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-323723.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-820624.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-516042.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-638303.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3325-138200.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3326-539097.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-295909.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3328-467309.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-487023.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-161397.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-818152.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3332-796788.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-150310.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-387506.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3335-376159.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3336-563184.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3337-372112.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3338-205912.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3339-702794.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-318088.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3341-423260.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3342-599171.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3343-636684.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-142090.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3345-789962.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3346-590185.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3347-648082.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-797766.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-415292.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-874046.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-465559.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-731653.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-697729.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-812448.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3355-576907.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-670030.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-685845.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3358-259118.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-326751.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-894767.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3361-351761.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3362-940870.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-222086.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-233430.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-654093.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-250826.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-525407.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-519877.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-711102.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-549112.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-616424.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-335085.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-297788.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-256925.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-470563.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3376-881495.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-489160.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-616149.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-201043.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3380-759468.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-612445.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-210011.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-395055.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-134293.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-907319.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-420392.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3387-826633.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-974754.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-281889.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-925162.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3391-212819.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-901403.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3393-812427.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3394-485341.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-752441.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-227869.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-851727.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-624411.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-233880.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-200825.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3401-756283.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-127319.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-632748.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-445345.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-724130.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-733091.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-558512.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3408-108574.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3409-176383.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-373192.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-151469.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3412-393936.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-276737.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3414-478544.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3415-616761.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-424455.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-459669.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-814566.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-167643.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-205343.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-250222.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3422-960122.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-690568.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-281550.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-217158.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3426-559132.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-862826.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3428-199508.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3429-934880.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-543431.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-977726.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-122341.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3433-566785.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-492207.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3435-435465.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-467556.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-522571.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-331417.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-595060.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-843547.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-422909.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-752936.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-293321.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3444-940408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-949150.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-188342.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-311384.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-892695.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-481503.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-152860.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3451-789942.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-485745.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-617860.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-342922.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3455-961627.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-990759.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-871581.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-237637.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-706819.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-245113.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3461-732691.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-162420.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3463-522542.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-764314.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-524053.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-373100.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-421555.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3468-122493.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-761956.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-976581.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-695595.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-730819.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3473-967587.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-711651.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-685500.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-979563.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3477-761023.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-399850.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-317765.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-833810.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-915857.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3482-750662.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-856405.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-704896.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-308163.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-915972.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-584505.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-539435.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-602781.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-325814.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3491-882696.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-538693.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-278986.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-694827.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-249833.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3496-609893.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-140728.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-806866.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3499-216366.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-666604.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-556186.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-839552.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-671734.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3504-618019.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-287384.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-546494.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3507-779560.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-780045.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-291806.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-267215.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-566166.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-683880.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3513-365969.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-674222.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-121999.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-844111.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-870264.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-241532.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-107039.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-157313.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3521-664292.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-303616.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-655637.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-279514.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3525-315651.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-851088.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-998974.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-908488.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-505475.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-899623.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-257773.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3532-407034.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-418285.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-495643.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-917052.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3536-449833.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-503626.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-957147.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-958719.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-587701.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-632799.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-289487.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-202456.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-136332.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-580129.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-464804.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3547-897876.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-258291.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3549-964840.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3550-753906.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-671921.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3552-256475.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-690665.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3554-768581.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-522486.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-417934.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3557-411309.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-923908.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3559-291644.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-312412.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3561-310982.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3562-364778.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-602801.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-559198.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-567823.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-275218.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3567-128066.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-443163.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-718011.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-606724.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3571-960392.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-162945.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-455323.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-100247.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-270945.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-232558.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3577-497432.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-105023.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3579-634954.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-742242.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-638388.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-465786.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3583-490463.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-581579.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3585-327508.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-651634.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-159031.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-201803.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-641427.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-682670.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-644672.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-905121.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-873026.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3594-343332.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3595-889662.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-494244.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-509859.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-450752.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-209209.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-170451.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-353716.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-345046.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-518357.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-452830.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-935026.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-647015.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-841455.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-291735.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3609-102628.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3610-362440.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-944045.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-512002.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-897584.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-370403.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-737715.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-669816.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3617-965321.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-710400.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3619-264602.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-374651.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3621-846397.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3622-899771.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3623-774216.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-821069.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-121684.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-126134.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-462645.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-569038.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3629-481426.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-859966.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-529235.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-226057.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-114066.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-236883.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-147285.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-184869.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-201805.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-760958.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-524962.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-463625.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-672519.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-480071.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-467372.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-527673.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-601010.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-736852.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-614890.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-301421.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-598620.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-892617.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3651-913047.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-829014.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-996135.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-672665.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-387173.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-682331.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-430078.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-972165.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-641271.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-348162.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-676929.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-363709.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-816030.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-764402.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-193515.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3666-899185.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-451542.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-284276.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-653782.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3670-124525.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-718139.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-426029.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-296688.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-207865.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3675-804268.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-562650.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3677-584720.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-336249.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3679-793772.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-150528.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-707077.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-534404.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-912059.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-391188.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-454121.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-349588.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-604597.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3688-867004.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-344679.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-779776.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-787040.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-351049.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-571135.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3694-654482.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-668636.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-937141.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-752471.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-972609.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-682168.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3700-413930.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3701-695352.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-840712.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-885437.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-675568.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-132566.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3706-913633.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-739400.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-729700.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-870119.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3710-988136.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-823261.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3712-655026.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-877381.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3714-430834.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-139660.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-756271.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-248968.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-194250.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-402112.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-649946.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-379349.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-796645.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-915019.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-871066.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-717486.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-274970.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-478374.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-331729.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-742650.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-429052.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-265676.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3732-891572.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-157175.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-803942.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-211068.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-998994.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-117327.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-382139.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3739-778884.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3740-281902.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-687990.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3742-173236.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-608124.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-427866.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-888805.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-757382.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3747-107146.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-540799.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3749-210503.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-904997.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3751-574952.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-806922.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-921088.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-253325.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-500005.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-955227.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-398478.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-574314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-758036.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-319939.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-818889.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-782933.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-253641.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-677169.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-813373.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-342628.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-333481.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3768-783500.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3769-387385.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-534910.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-418081.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-637427.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-655014.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-197890.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-879029.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-999648.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-565553.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-186965.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-295662.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-230968.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-119290.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-200532.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-644452.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-362883.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-230892.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-127611.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-437810.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-796990.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-703961.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-180790.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-416568.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-828884.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3793-830219.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-384287.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-626204.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-217311.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3797-132095.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3798-239410.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-652924.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-812004.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-301484.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-950266.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-589473.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-473298.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-417705.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-665803.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-591947.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-462585.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-178596.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-233924.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-594743.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3812-710248.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3813-983285.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-975908.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-360906.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3816-569634.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-286846.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-150754.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-387394.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-995612.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-110328.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-355828.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-887870.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-162970.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-790585.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-207101.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-160967.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-781714.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-876375.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-486116.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-776915.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-202543.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-114045.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-711934.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-673149.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-465089.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3837-483092.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3838-205669.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-702289.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-521710.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-817467.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-278814.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-393314.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3844-149298.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-225116.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-164031.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-965758.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-867073.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3849-797502.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-383618.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-722298.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-371605.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-208828.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-721469.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3855-801991.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3856-351420.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3857-805989.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-170637.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-530759.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-991016.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-790392.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-525669.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-183207.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-842326.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3865-338141.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-894202.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3867-362974.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-908759.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-929866.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-314753.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3871-267026.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-138869.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3873-827293.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-706606.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-713553.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3876-884091.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-685877.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-146667.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-948842.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-653666.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-783261.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3882-476861.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3883-221140.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-579803.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-513608.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-369245.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3887-837153.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-633439.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-533411.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3890-782088.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3891-666407.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-700929.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-122083.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-765525.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-159527.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-170665.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-202475.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-501810.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-270271.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-247009.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-942343.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-655130.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-912677.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-555284.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-879918.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-149697.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-582459.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-250814.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-822604.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-561404.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-592631.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3912-836680.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-591463.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-302772.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-610205.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-292912.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-559803.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-677076.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-405915.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-728670.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-393201.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-725660.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-460983.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-744356.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-217700.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3926-980309.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-998460.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-906332.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-729088.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-135442.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-252546.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-556474.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-114145.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-623570.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-713027.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-365420.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-394463.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-492819.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-392432.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-852233.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-855502.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-407536.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-379559.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-680509.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-641629.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-693410.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-751711.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-157876.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-180692.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-708042.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-907920.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-405361.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-937093.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-112183.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-261907.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+3956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-993150.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-501303.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-623738.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-770030.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3960-225118.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-353112.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-640227.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-822828.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-454829.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-630983.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-355050.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-273614.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-866300.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-591253.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-878929.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-484619.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-903639.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3973-726591.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-865766.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-820206.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-890401.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-295896.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3978-209656.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-211775.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3980-653193.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3981-338441.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-731449.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-996635.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3984-167339.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+3985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-157570.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-470943.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+3987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-631626.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-783109.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+3989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-684919.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+3990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-234493.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+3995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-428598.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-206849.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4006-460162.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-657678.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-338280.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-558390.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4011-859679.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-256107.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4013-303671.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-393538.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4015-815316.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-878813.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-193187.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-706317.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4020-535212.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-287225.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-615136.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-793387.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-996903.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-606366.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-670395.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-466378.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4029-497043.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-120550.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-694195.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-781645.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-828975.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-302751.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-754848.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-663516.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-817239.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-459655.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-379794.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4040-972969.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-765901.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-875831.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-298775.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-601822.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4045-153192.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-928617.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4047-649703.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-552316.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-893668.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4050-113871.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4051-297154.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-834932.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-637662.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-744753.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4055-744399.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4056-197856.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-731455.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-251623.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-743707.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-790770.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-297282.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-100936.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-287651.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-198817.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-783024.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-724049.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4067-522842.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4068-423582.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-585197.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-782456.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-271898.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-966220.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-305218.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-718433.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-184898.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-841549.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4077-547958.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-581462.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-942807.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-705200.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-168632.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-282192.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-383933.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-229486.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-878629.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-467350.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-362771.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-505242.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-818549.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-439155.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-297745.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-840415.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-671434.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-978367.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-863193.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-465477.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-700152.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4098-510047.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-107366.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4100-924357.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-222949.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-999267.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4103-656256.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-744767.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-709638.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-903539.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-786845.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-937205.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4109-508463.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-677981.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-839335.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-883437.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-358728.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-318149.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4115-839419.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-834752.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-188030.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4118-541046.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4119-721104.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-970494.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4121-770031.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-692718.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4123-626408.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-626334.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-131152.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-402826.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-421725.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4128-546772.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-396679.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-977432.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-436844.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-422900.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-345964.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-136972.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4135-487570.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4136-268634.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-939683.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-136405.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-164866.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4140-276412.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-250103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-893275.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-755747.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-312509.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-125388.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-185862.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-743574.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-905353.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4149-464494.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4150-762505.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4151-398610.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4152-198152.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-786933.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4154-934460.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-749285.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4156-560633.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-846550.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-855314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4159-884968.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-860347.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-202951.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-155237.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-770525.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-966007.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-188357.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-669942.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-446892.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-841974.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-764577.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-466116.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4171-773444.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-684760.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-151598.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-853308.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-640913.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-277675.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-159151.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-752661.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-683020.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-557843.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-700341.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-187785.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-201727.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-694102.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-946605.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4186-840239.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-725399.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-803827.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-834082.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-212959.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-286421.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-352134.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-679301.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-917320.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-562410.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-939008.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-472144.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-296931.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-552767.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-407484.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-394936.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-215942.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-211696.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-351317.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-946509.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-714065.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4207-869763.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-723963.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-205885.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-740308.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-270828.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4212-657766.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4213-592741.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-525377.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-180686.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-401445.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4217-710288.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-877195.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-717970.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-478277.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-584858.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-985112.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-345888.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-642855.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-912199.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-837573.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-995560.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-829125.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-127216.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-424504.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4231-502346.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-190826.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-799152.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4234-483451.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-369598.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-454629.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4237-817407.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4238-138897.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4239-864682.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-185705.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-107382.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-300111.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-151418.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-814145.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-842353.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-989597.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-343026.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4248-712691.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4249-867543.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-805015.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-783791.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-354562.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4253-245392.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-769520.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-449672.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-792982.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-136369.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-989387.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4259-618574.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-503727.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4261-169705.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-577368.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-548531.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4264-161812.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-748045.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-376621.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-337016.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4268-608769.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-572040.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-532105.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-993570.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-830797.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-963358.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-813019.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4275-806872.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-736828.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-934937.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-970478.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4279-445791.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-472549.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-475613.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-537510.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-365872.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-640559.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-295999.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4286-550473.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-822866.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4288-746158.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4289-639952.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4290-164408.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4291-459627.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4292-423971.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-536795.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-805240.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-245898.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-140644.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-768254.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-455063.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4299-364523.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-501257.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-703164.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-132766.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4303-742529.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-344885.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4305-724244.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-101488.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4307-230873.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-826465.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-971198.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4310-900166.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-917392.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-910370.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-127162.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-435151.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-806857.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4316-330899.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4317-758955.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-455385.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-449822.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-670189.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-377740.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-902125.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-774431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4324-521254.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4325-624693.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-286311.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-693908.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-186046.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-746155.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-329053.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-118488.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-246098.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-879471.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-403096.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-468294.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-248649.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-244236.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-300783.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-227748.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-931241.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-588704.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-127192.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4344-115857.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-782176.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-778188.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-835498.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-895227.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-803417.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-712865.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-214644.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-350632.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-239865.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4354-614727.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-913061.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4356-213289.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-468409.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4358-924994.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-221422.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4360-835313.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-320496.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4362-619088.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-251543.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4364-627054.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-450731.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4366-466667.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-853685.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4368-290486.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-780169.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4370-438547.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-348252.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4372-445252.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4373-349655.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-490798.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-336074.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-360111.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4377-937971.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-164479.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-797548.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-252055.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-405905.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4382-760519.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-849779.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-355209.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-607566.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4386-526392.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-108320.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-140200.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-834187.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-779887.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-117931.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-780330.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-217968.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-357840.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-222909.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-961468.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-163809.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-574554.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-141572.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-596016.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-902280.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4402-616375.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-688832.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-760462.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-237469.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4406-939698.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4407-374365.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-808787.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-783731.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-748457.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-943680.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4412-265703.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-603186.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-173948.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4415-533873.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-768888.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-863979.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-422416.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-752334.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4420-264536.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-792356.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4422-964638.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-335236.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-424144.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-826444.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-815606.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-781944.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-665195.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-173466.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-803075.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4431-132563.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4432-284210.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-791357.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-618904.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-416472.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-401685.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4437-371736.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-469675.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-490101.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-612748.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-359352.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4442-601948.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4443-675030.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-356395.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4445-879228.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-433969.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-731085.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4448-755414.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-309965.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4450-895861.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4451-517371.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-635793.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-694972.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-769974.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4455-801922.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-533123.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-365851.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-953172.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-848338.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-409404.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-885516.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-948959.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-282915.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-145531.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-242175.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-899635.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-779736.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-525563.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-944188.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-800941.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4471-693640.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-732542.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-596246.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4474-175579.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4475-766899.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4476-273226.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4477-518455.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-865265.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4479-513432.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-148805.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-449054.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-360976.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-277519.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-429370.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4485-109819.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-154791.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-632737.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-212894.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-717930.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-770233.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-378806.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-336271.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4493-485342.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-944293.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-924763.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-366573.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-733715.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-986006.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4499-120068.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-641764.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-121075.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-329778.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-660830.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-176385.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-813630.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-560813.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-200468.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-889226.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-148891.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-663824.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-505466.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4512-435532.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-818673.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-754986.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-423832.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-894165.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-268492.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4518-311418.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-571324.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-495443.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4521-434351.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-207058.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-119715.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4524-934934.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-390863.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-496648.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-380291.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-218035.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-882755.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-726718.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-678808.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4532-505030.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-195201.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4534-947618.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-173875.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4536-124132.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-606325.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-522403.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-898447.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-487384.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-508398.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-596859.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-655782.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-726745.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-434735.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-268003.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-642643.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4548-662268.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-791623.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-404031.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4551-435192.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4552-493581.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-351365.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-257408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-631003.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-584106.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-963654.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4558-478176.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-632074.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4560-886298.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-264778.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-203183.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-258680.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4564-492942.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-690167.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-496934.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-623563.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-479564.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-462666.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-220007.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-272827.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-859805.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-321601.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-603830.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-817419.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-715288.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4577-404582.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-310193.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4579-341988.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-706645.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-403155.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-402326.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4583-441584.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-493938.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-632263.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4586-611454.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-432836.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-166158.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-206152.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-756046.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-445769.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-182242.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-271669.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-643127.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-597153.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-514645.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-345782.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4598-766380.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-431286.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4600-187008.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4601-956575.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-195703.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-155930.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-352566.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4605-160406.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-181305.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4607-594523.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-445415.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4610-380391.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-745971.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4612-459726.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4613-650193.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-431505.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-571505.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4616-551575.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-812327.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4618-892635.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-245371.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-163589.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-614319.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-401396.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-353709.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4624-194474.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-176310.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-390691.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-124682.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-423123.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-154109.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4630-764911.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4631-955817.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-619148.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4633-265812.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-804634.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4635-189897.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-647465.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4637-436837.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4638-858783.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4639-262590.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-770655.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-685748.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4642-210210.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-418948.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-325948.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-933846.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-295856.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4647-911060.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4648-428949.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4649-278050.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-967033.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-213049.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4652-485348.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-664296.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-151895.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4655-417288.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-294534.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4657-295732.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4658-936433.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-342392.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-348818.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-584544.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-891999.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4663-730536.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-350583.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-445776.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4666-324813.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-821711.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-236839.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4669-763723.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4670-335716.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-612851.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4672-190349.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-908452.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4674-713536.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-236666.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-369651.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-830521.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-455361.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-268332.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-585258.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-111087.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4682-931407.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-445850.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-698598.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-144254.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-834610.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-734785.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-268964.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-783392.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-692448.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-529662.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-247243.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-202128.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-246246.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-281541.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-677931.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-845257.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4698-392734.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4699-877638.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-161182.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-509445.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-143797.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4703-670327.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4704-804918.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-164338.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-394098.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-698951.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4708-975854.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4709-121305.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-229901.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-760903.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-891459.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-283496.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-753760.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-884017.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-714787.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4717-127929.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-499838.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4719-522398.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-595228.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-199145.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-684221.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-864736.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-674425.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-511282.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-979307.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-964700.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4728-794017.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-712487.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-957523.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-887318.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-957099.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4733-493859.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-500520.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-363210.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-426937.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-779742.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-123699.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-712126.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-550608.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-574556.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-572899.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-415115.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-753574.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4745-271821.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-823309.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4747-961397.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-647146.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-845539.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-383066.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-313031.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4752-531309.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4753-348557.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-432540.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-999463.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-741980.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-365552.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4758-306831.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-330774.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-968232.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-415029.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-876785.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4763-127339.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-621476.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-775373.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-991033.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-902463.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-678468.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-766318.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-701492.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-639675.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-940843.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-660805.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-444082.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-496894.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4776-586792.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-141099.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-562445.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-336908.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-912068.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-514644.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-823012.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-382879.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-160771.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-382848.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-116708.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-529467.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-185683.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-781939.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-761613.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-158837.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-147469.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-321030.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-951210.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4795-208665.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-321004.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-741355.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-700956.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-111806.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-568277.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-511162.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-932366.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-986444.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-340600.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-884101.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-122702.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-342781.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-965063.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-317652.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-205297.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-222039.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4812-106849.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-485534.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4814-549016.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-583764.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-154748.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-602096.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-726720.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-197501.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-615408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-861827.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4822-139939.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4823-995367.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-966133.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-566579.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-980403.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-652958.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-344437.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-209266.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4830-630827.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-790585.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-388187.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4833-530675.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4834-240616.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-520854.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-336135.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-193875.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-351735.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-407359.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-503658.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-451277.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-908286.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4843-895634.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-215576.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-302831.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-433503.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4847-878841.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-503694.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-458721.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4850-185145.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-821538.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-511867.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4853-371400.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-941383.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-477064.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-899261.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-904410.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-931677.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-117223.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-240852.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-576971.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-576452.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-819568.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-212930.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-941514.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-779465.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4867-154551.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-645473.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4869-213680.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-213341.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-211075.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-195435.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-545713.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4874-651895.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-295795.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4876-436408.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-950635.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-660377.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-876314.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4880-760137.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-511402.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-897287.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4883-221863.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-995024.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4885-155765.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-244004.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4887-681974.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-844842.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-850858.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-506883.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-334624.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-727747.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-122047.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4894-957052.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-742115.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-950534.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-645603.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-103035.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-939308.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-794200.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-222410.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-950033.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-386278.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-193117.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4905-322000.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4906-389691.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4907-503093.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-566873.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-404237.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4910-414249.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4911-109953.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-930807.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-112434.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-256272.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-329294.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-512105.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-986221.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-154427.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-648547.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4920-704466.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4921-527254.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-690505.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-574003.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-712487.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-914280.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4926-456273.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-256013.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-110231.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-839013.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-106009.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-330731.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-697267.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-166338.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4934-983337.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-447933.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4936-356160.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-510883.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-572253.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4939-493573.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-182792.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-375370.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-875734.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-263332.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-344069.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4946-116679.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4947-442043.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-558533.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-367184.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-446005.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4951-205271.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-965447.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-446817.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+4955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4955-573923.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4956-277656.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-756085.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-681342.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-857370.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-286907.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-969543.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-580778.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4963-531599.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4964-308658.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-975296.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-324175.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-780389.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-604113.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-252333.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-779393.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4971-320557.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-187003.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4973-129386.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-623142.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+4975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-737684.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-401248.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-813567.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-760311.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4979-152601.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4980-748768.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-820575.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-204405.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4983-543889.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4984-445571.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-626229.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-291296.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-240488.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-176600.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-218266.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4990-954005.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+4991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-348900.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-443378.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-794615.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4994-367198.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+4995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-287263.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-574866.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+4997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-264576.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4998-952350.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+4999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-214499.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-628968.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5002-961280.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-451073.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-990672.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5016-503974.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5017-157192.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5018-221761.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-310141.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-852741.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-620729.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-680042.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5023-468284.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-819035.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-617422.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-602798.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-530217.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-379045.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5030-816972.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-207815.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-584295.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-344996.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5034-320238.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-328245.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-889423.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-865641.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-223662.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-509113.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5040-586372.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-833683.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5042-626033.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-928390.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-495220.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-969765.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-879904.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-150147.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5048-284540.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-129007.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-989095.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-493874.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-970088.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-905756.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5054-638274.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-365865.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-109285.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5059-206959.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-620784.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-153819.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-148872.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5063-694750.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-276150.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5065-964875.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-747317.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5067-176897.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5068-557517.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-686891.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-956755.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-147955.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-756569.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-303378.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5074-160950.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-976624.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-999680.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-343674.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5078-183499.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-978785.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-731224.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-813110.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-759659.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-170750.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-403039.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-603547.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-926530.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-321839.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-513542.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5089-488177.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-564169.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-723123.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-734942.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-907549.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-979432.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-223390.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5096-194876.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-965041.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-421301.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5099-912165.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-545100.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5101-182698.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5102-118320.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-675086.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-329094.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-614539.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5106-639210.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-282520.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-257257.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-299392.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-695633.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5111-977257.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5112-610021.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-557880.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-498397.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-831871.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-116405.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-776249.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-695505.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-776011.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-364091.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5121-437188.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-865067.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-467940.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-664996.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-641644.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-331391.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-382525.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-973204.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-425513.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-723345.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5131-446467.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-180566.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5133-982507.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-682460.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-937897.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-346959.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-663377.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-130847.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-463982.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-800629.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-261562.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5142-159899.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-916461.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-316042.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5145-678525.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5146-922245.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5147-442210.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-428651.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-969961.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-574517.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-423155.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5152-823612.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-660844.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5154-330536.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-162950.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-690740.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-100138.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5158-918517.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-103785.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-334960.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-719650.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-701820.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-625342.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-379989.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-336200.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-557703.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-345240.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-530852.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-550176.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5170-871361.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-664693.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-267821.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5173-502714.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-421934.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-196927.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-886778.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-729787.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5178-130834.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-805817.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5180-495683.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-685484.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-758937.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5183-798112.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-129628.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5185-531932.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-330748.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-652166.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5188-597122.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5189-336479.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-426093.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-145665.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-853541.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5193-567172.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-625331.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5195-123021.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5196-522467.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-139675.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-776658.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-950380.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-806809.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-334533.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-984159.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5203-797752.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5204-361682.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-748926.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-902237.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-441738.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-440262.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-438196.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-705892.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-388257.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-716219.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-432566.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-247069.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-787030.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-863358.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-424778.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5218-995865.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5219-591489.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-542058.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-971837.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-936730.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5223-203415.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-456391.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-840073.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5226-584854.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-294741.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5228-388658.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-941966.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-412596.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-281367.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-917356.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-183528.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5234-431466.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5235-784861.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-397791.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5237-998806.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-398242.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-745484.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5240-302530.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-519960.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5242-309857.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-598501.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-542557.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5245-480762.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-809417.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5247-835944.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-879128.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-408133.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5250-353330.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-706070.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-670618.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-642349.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-316420.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-471203.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5256-806632.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-963730.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-775169.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-281896.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-897203.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-388467.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-736121.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5263-205104.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5264-801735.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-261863.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-166337.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-340957.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-350090.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5269-850275.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5270-624590.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-981133.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-755131.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-242792.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-726765.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-500062.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-741079.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-992022.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-927250.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-973259.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-832567.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-697951.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-725106.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-606935.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5284-492835.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-999155.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5286-173732.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-654412.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-971754.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-798285.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-990681.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-646866.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-942349.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-569331.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5294-685540.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5295-487083.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-220211.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-206818.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-988711.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-306436.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5300-827431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-452266.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5302-621528.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-715408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-610360.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-455923.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-851469.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5307-856932.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5308-817582.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5309-663238.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5310-429719.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-902894.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-869979.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5313-824268.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-669099.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-407133.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-794997.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-666079.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5318-489955.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-923017.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5320-861710.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-687261.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-811529.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-394949.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-723668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5325-511317.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-522264.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5327-493975.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-812844.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-522160.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5330-290073.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5331-922732.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-130469.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5333-525129.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-400061.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-681791.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5345-857921.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-340334.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5348-312105.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-260043.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-746588.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-905238.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-139334.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5353-802550.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-531983.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5355-199615.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-286484.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-765895.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-868185.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-592632.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-257615.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-222077.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-248059.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-989503.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-506911.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-632527.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-395126.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-295164.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-852542.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5369-406186.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-299932.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-878861.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-331505.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-200901.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5374-657389.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5375-828765.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5376-117187.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-907194.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5378-152941.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-632659.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-839715.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5381-186156.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5382-682472.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-198596.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-601740.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5385-714559.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5386-691646.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-404279.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-791423.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-420422.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-811157.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-458613.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-474735.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5393-360498.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-224484.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-896101.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-997732.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-113971.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-365285.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-626759.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5400-381167.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-851756.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-277485.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-421429.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-488230.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-418455.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5406-489911.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5407-975628.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-226042.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-145872.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-169320.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-953139.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-333080.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-203648.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-758722.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5415-267939.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5416-844514.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-706784.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-203260.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-784916.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-533587.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-856518.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-772984.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-833078.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-321030.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-131407.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-356118.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-847035.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5428-695108.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-729864.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5430-569931.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-765755.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-336873.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-445108.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5434-761046.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-955668.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-465070.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-202438.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-847458.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-980566.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-936542.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-451898.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-759672.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-323925.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-665345.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-538848.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-454561.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-993061.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5457-855191.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-721170.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5459-328242.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+5461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5461-257464.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5462-226540.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-579855.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5464-531339.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-425239.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-495138.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-590307.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-691204.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-603325.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-368593.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-303934.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-553464.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-946340.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-349588.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-577052.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5476-588035.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-303867.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-146855.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-507938.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-490102.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-429181.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-844480.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-382664.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-989294.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-878285.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5486-452652.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-726690.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5488-503896.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-391449.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-148515.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-899053.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5492-800480.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5493-381157.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-637345.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-311072.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-214391.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-130311.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-644619.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-860511.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-364237.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5501-371213.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-432541.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-834916.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5504-712738.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-833140.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-324015.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-958909.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-446229.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-944866.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-674906.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-712455.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-175509.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-413802.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-835202.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-114673.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-902230.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5517-757980.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-589153.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5519-314200.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-480520.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5521-755384.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5522-266407.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-636867.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-485212.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-445949.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-813891.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-256808.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-447295.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-683950.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-211670.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-981601.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5532-788264.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-647544.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-246451.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-426925.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-306304.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5537-421314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-813830.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-718841.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-396482.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-913715.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-892034.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5543-938116.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-934684.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-880995.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-293011.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-366037.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5548-168165.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-657077.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-336397.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5551-498911.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-226978.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-174926.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-504929.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-893319.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5556-293861.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-558590.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-739967.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-589784.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5560-916068.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-231030.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-695262.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5563-649866.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-597330.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-966187.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-304323.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-863666.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5568-424056.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-233668.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-774433.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-711050.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-934339.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-758097.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-248121.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-252184.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-936782.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-170073.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-532506.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-843562.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5580-531049.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5581-963287.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-307649.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-756326.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-296783.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-567454.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-154353.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-206966.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-153963.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-577190.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-223746.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-351134.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-736826.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-229834.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-683807.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-732103.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-783861.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-718586.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5598-582775.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-270916.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-308705.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5601-453971.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-197662.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-811555.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-959366.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-722226.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-530707.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-921657.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-678877.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5609-501622.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5610-415192.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-320002.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-257922.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5613-875264.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-111649.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-274949.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-502869.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-631068.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-235104.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-703578.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-249444.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-612652.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5622-314294.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-841888.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-606389.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-911730.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-597372.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-512344.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-585187.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-904328.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-700235.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-279946.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-164675.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-104003.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-209652.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-645467.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-136965.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-332870.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5638-536117.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-474274.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-645178.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-977835.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-229047.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-492906.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-340584.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-884690.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-128278.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-537854.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-607079.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-878171.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-511895.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5651-913488.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5652-728927.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-799028.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5654-799341.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5655-118480.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-340583.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-812207.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5658-752873.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5659-475946.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-640415.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5661-309989.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-960812.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-254555.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-315196.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-839878.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-416594.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-959490.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5668-513720.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-599416.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-718504.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5671-755143.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-200361.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5673-891625.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5674-219071.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-169500.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-646675.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-210489.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-541388.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-440046.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-509914.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5681-759143.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-656796.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5683-462834.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-472276.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-931371.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-589898.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-757838.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-296966.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-805457.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-810431.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-517830.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5692-350628.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5693-541308.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-329324.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-826242.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-591140.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-977636.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-872117.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-713501.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5700-524475.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-775016.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-126002.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-499880.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-778058.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-455963.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-306228.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5707-759524.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-729699.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-529344.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-334112.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-504667.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-128451.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5713-404922.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-133710.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-450171.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-728137.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-242296.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-930237.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5719-925402.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-617969.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-274927.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-384996.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-970078.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-288826.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-944116.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-376226.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-614063.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-722820.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-591519.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-746063.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-848143.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-213019.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-682817.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5734-358692.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-252566.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-393552.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-302131.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-209196.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-579543.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5740-630331.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-298663.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-630517.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-515583.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-424103.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-524188.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5746-571113.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-652669.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-979196.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-462805.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-660371.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-909166.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-961139.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-987995.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-648739.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5755-276221.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-668534.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5757-897034.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5758-220874.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-556866.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-323224.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5761-270832.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-848486.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5763-756915.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-163431.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-384063.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-638226.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-365547.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-489997.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-442252.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5770-615333.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-193027.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5772-633033.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5773-235296.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-878076.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-328954.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-117724.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-369206.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-824200.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-146947.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-461887.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5781-245925.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5782-712632.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-421099.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-745145.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5785-193406.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-445052.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-564932.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-318286.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-974270.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-496891.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5791-833053.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-363358.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5793-817390.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-858786.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-446044.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-515052.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-785390.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5798-229661.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-471427.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5800-871782.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-252777.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-385353.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-875979.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5804-678547.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-408005.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5806-832992.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-998641.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5808-960251.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5809-602550.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-861954.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5811-457987.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-773410.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-566037.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-620672.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-911695.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-144262.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-560202.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5818-858069.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-720092.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-671199.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-884645.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-526705.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5823-297686.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-427494.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5825-221152.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-287265.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5827-548945.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-174176.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-230107.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-790235.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5831-447384.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-835521.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-314498.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-217485.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-442344.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-999719.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-534960.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-455521.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-219498.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-393563.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5841-403460.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-118457.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-319234.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-138342.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5845-299379.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-140012.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5847-641270.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5848-161770.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-743901.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-840906.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-787873.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-648703.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-567782.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-834354.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-966731.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-320998.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-941174.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-554883.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-991126.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-680431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-591764.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-567535.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-433476.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-635229.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5865-723582.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-254093.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-806721.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-245533.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-438186.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-665507.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5871-829957.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5872-444160.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-100031.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-978955.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-286071.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-214710.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-546545.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-489019.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-236915.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-765169.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-161982.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-800202.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-512882.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-835643.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-715280.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-131635.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-268261.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-982467.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-745039.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-507129.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-351956.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-699180.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-949659.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5894-953657.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-104217.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-512566.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-232667.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5898-566864.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-906510.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-387089.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-764165.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-368494.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-736132.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-933375.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5905-702187.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-746528.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5907-328629.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-938305.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-548475.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-370616.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-120398.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-505179.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-822919.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5914-998059.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-780131.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-189345.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-306352.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-255909.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5919-387594.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-549346.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-528862.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-492618.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-727303.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-724379.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-250829.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-692715.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-358353.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-703678.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-848208.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-442490.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-535338.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-117359.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5933-403488.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-464254.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5935-516771.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5936-416673.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-214800.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-834633.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-954998.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-725683.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-380339.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-788799.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-282124.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-652208.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-334554.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-598529.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-722332.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-799485.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-555373.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-378151.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-335226.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-449470.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-491518.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-989925.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5955-236396.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-587897.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-649578.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5958-784181.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-678377.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-104252.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-101870.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-503805.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-346033.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-728624.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-464835.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-854497.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5967-803031.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-946791.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-809214.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-123964.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-148257.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5972-327308.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-783880.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5974-651071.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5975-309623.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-465542.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-346114.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-852780.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-814106.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-488941.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-513090.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5982-453088.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-895483.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-452113.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-653674.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-521374.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-459652.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-703367.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-425143.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-617428.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+5991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-478557.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-622836.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-945998.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-955582.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-932025.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+5996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-874499.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+5997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-555078.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+5998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-923132.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+5999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-396306.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-339371.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-847836.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-401746.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-922586.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-358135.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-420485.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-791364.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-433149.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-511570.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-327413.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-956011.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-292933.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-709485.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-242831.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-173869.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-451260.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-954572.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-437278.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-644115.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-562356.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-385991.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-643760.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6022-431659.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6023-653248.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-249161.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-738142.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-357925.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-334783.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6028-482157.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6029-796723.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-634271.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-442019.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-928052.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-250034.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-586599.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-516506.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-750183.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-904592.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-408160.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6039-651938.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-169314.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-899173.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-785666.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-641810.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-736203.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6045-813068.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-600440.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-656771.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-318314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6049-882109.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-707930.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-545973.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-912666.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-439487.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-746581.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-101093.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-666280.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-818076.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-178875.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-623515.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-973964.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-122082.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-731462.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6063-988879.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-640699.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-107392.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6066-455741.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-409492.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6068-115618.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-988843.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6070-894564.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-225147.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-343996.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-701954.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-755343.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-771558.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6076-855194.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-557103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-560625.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-386113.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-694345.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-161169.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-897257.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-536338.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-347568.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-752597.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-660263.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-531578.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-412989.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-254467.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6090-586914.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-190221.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6092-683756.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-807469.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6094-794016.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-664057.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-395257.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-518644.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-960167.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-245597.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-543033.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-964536.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-668419.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-128686.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-660900.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6105-693436.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-580040.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6107-218376.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-240276.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-403977.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-228762.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6111-839095.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6112-361923.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6113-548547.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-945597.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-173242.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6116-687081.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-193669.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-946231.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-989814.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6120-241084.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-128740.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6122-541939.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-308306.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-933725.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-220461.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-143815.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-956958.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-198612.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-730861.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-121937.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6131-610497.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-883921.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-662979.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-516630.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6135-252650.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6136-886209.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-654293.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-297459.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6139-549575.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-442739.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-654157.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6142-115883.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-964410.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6144-284296.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6145-672759.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-279687.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-136801.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-727166.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6149-511181.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-498234.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-822883.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-693577.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-789170.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-801817.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-446686.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-490306.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-117029.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6158-370818.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-851799.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-895060.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-181151.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-898078.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-203884.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6164-862297.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-833914.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-708846.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-273784.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6168-709124.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-654005.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-534668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-237093.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-698552.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6173-632821.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6174-359995.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-818736.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-252132.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-694516.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-253043.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-665484.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-491777.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-250459.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-824197.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-179435.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6184-394942.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-399218.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-261152.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-734834.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6188-234641.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-307237.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6190-294973.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-270827.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-122303.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-915821.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-761405.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-223756.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-808133.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-421747.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-984211.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6199-877942.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-402886.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-450915.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6202-641356.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6203-590107.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-795083.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6205-574261.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-719235.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-456417.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-887911.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-998919.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6210-786052.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-544810.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6212-433929.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-863440.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-296438.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-178443.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6216-553688.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-575730.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-807945.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-807166.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-682224.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-805511.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6222-145816.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6223-404602.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-612788.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-978371.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-883720.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-146148.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6228-825566.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-316146.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-639443.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-177860.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-921047.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6233-970000.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6234-484310.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-673092.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-383774.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-346503.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6238-844551.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6239-990789.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6240-803974.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-812908.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6242-880416.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-291717.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-342278.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-978486.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-685093.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-497780.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6248-952975.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-226065.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-497886.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-808664.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-378987.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6253-113304.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-385978.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6255-825157.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-272855.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-800920.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-255534.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-636043.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-411123.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-223374.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-251423.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6263-739046.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-796658.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-685829.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-869827.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-332385.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-155101.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-704061.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6270-362975.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-413001.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-207033.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-454206.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-712405.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-939746.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-786856.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-512296.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-618811.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-531127.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6280-758305.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-412781.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-749286.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-294672.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6284-375416.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6285-457838.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-249724.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-565514.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-169074.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-845729.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-491586.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-739563.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6292-519931.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-685129.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-399380.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-646664.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-148725.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-342923.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-964356.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-793506.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-810071.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-369508.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-910061.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6303-613173.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-404913.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-210273.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-213578.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-961900.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-773142.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-803982.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-556502.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-401901.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-553938.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6313-964581.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6314-897059.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-622823.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-325220.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-551331.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-738534.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-432794.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-295102.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-956361.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6322-113005.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-705409.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-942173.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-645013.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6326-587686.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-431996.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-918285.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-995737.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6330-477386.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-945609.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6332-904735.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6333-554013.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-422715.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6335-527942.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-563220.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-732037.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-331719.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6339-844607.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-949212.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-825255.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-757142.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6343-323284.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-221026.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6345-431800.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-118938.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-315409.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-466018.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6349-269165.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-868161.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+6352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-589876.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-473772.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-519804.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-897784.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-688335.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6357-272442.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-345018.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-439922.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-944570.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-687286.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-794526.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-747931.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6364-821089.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6365-399906.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-114015.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-371754.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6368-668918.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-379902.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-169389.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-981664.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-398937.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6373-577014.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6374-172953.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-375584.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6376-932313.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-194079.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-208886.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6379-162059.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-831243.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-542243.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-206965.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6383-904118.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6384-453620.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-150694.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-531714.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6387-437452.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-777518.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-997349.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-610622.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-231227.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6392-791965.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-602118.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-447251.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-479312.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6396-248680.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-994159.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-800444.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-823612.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6400-800340.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-957470.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-269871.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-636260.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-987573.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-901833.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-834877.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6407-566728.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-128730.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-674668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-690468.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-987068.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-442334.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-194894.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-998411.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6415-507295.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-686357.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-223191.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-854573.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6419-381031.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-827923.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6421-135921.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6422-684780.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-820997.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-402201.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6425-773101.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-401410.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-438711.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-351089.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-583149.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-666605.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-111471.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-890045.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-774346.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-748203.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-600620.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-102947.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-213260.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-262691.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-605228.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-848477.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-541535.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-390537.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-542850.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-936314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-305862.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-897179.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-737717.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-452441.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-223317.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-591344.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-713414.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-592719.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-192367.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-440715.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-228919.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-720289.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-160077.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6458-934611.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-959847.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-788324.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-331521.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-251109.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-668601.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-885722.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-732264.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-645494.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-739143.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-977533.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-895858.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6470-603349.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-557465.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-397291.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-213332.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-748935.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-738292.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-634702.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6477-110849.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-809477.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-806769.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-567725.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-788863.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-553288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-102787.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-656559.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-675478.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-307617.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-428704.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-502573.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-241047.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-761752.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-208494.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-971705.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-884309.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-889691.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6495-650323.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6496-950488.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-979062.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6498-322958.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-399168.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-868608.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-363214.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-292889.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-982740.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-575858.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-344344.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6506-986517.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-430228.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-938759.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-235665.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-396166.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-698809.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-688983.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-962902.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-182403.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-562102.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6516-195179.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6517-305821.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-101127.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-115632.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-661306.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6521-738592.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-106085.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6523-228326.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-251803.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-684326.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-325229.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-255504.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-550189.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6529-495016.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-434804.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6531-474854.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-351215.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-644981.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-792484.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-253205.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6536-446511.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-441728.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-809985.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6539-338593.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-357402.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-814412.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6542-925097.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-511097.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6544-817336.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-474482.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6546-540965.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-199332.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6548-456317.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-474851.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-383618.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-453099.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6552-204234.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-350117.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-313454.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-983978.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-913891.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-605513.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-226086.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-159292.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-374164.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-925799.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-833681.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-634166.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-470334.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-608681.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-376318.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-640395.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-366879.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-420834.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-651493.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-787152.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-883481.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-399153.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6574-226338.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6575-193453.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6576-998182.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-530783.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-324077.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-187556.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6580-696041.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-497318.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-702403.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-259867.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-145290.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6585-619208.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-576724.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-902568.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6588-642465.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6589-903802.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-727862.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-634598.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-632088.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-772339.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-964693.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-883875.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-755555.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-812065.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-791240.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6599-947463.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-174833.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-982418.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6602-106951.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6603-190316.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-823475.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-807155.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-594754.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6607-559310.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6608-928441.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6609-535741.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-247207.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-395810.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-600231.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-962589.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-203867.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-926087.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6616-444390.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-876918.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6618-225786.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-231429.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6620-134681.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-446966.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-614870.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-863814.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-831525.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-722329.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-727005.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-767008.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-111931.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6629-870604.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-808108.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6631-893177.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6632-454305.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-836611.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-356920.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6635-831535.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-973914.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-122789.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-989344.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-886241.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-107021.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-477135.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-211934.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-812719.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-396241.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-619033.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6646-693203.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-686786.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-303608.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-627428.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6650-408733.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-236341.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-803825.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-780951.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-423020.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-529349.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-204876.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-473058.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-324206.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-711151.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6660-569903.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6661-849917.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-615996.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-890827.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-851113.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-105137.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6666-334579.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6667-892129.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-540325.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-178575.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-816009.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-359058.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-381730.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6673-859600.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-174978.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-526032.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-382800.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-860851.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-651289.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-854000.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-947484.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+6682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6682-397802.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-721499.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6684-545521.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-209772.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-747864.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-365223.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6688-662642.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-924062.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-285554.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6691-281380.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6692-679984.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-651074.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6694-585404.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6695-691783.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-778130.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-905771.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6698-233687.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-869164.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6700-329123.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6701-282150.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6702-440736.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-602250.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-133765.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-851891.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-357762.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-686917.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-485687.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-390860.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-619258.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-530135.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-678572.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-160614.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-472088.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-752263.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-338290.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-915550.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-900199.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-189771.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-535114.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-278076.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-468087.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-302721.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-227923.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-647514.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-310841.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-151461.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-930187.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-667704.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-831612.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6731-520009.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-202296.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-178087.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-596743.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-576625.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-914742.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6737-763337.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-336984.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-203877.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-823575.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6741-890516.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-779042.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6743-489557.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6744-982127.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-183607.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-198535.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6747-403377.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-559625.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-834050.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-738869.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-496139.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-800885.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-130020.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-644394.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6755-138746.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-136172.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6757-116611.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-311724.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6759-466821.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6760-215740.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-382675.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6762-349613.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-586737.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-923063.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-180464.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-611768.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-514107.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-726474.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-954419.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6770-305493.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-325513.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-259620.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6773-576292.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-204611.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-465544.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6776-702205.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-278695.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-115838.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-977483.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-171985.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-836739.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-859638.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-134557.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-493916.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-122613.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-945761.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-261479.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6788-124739.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-922044.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-484742.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-972926.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-679294.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6793-318013.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-205938.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-347654.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-625334.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-391352.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-263184.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-336241.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-451928.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-842901.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-242658.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-127397.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-619024.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-135247.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-998666.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-123518.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6808-496089.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-452608.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-367448.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-349630.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-875578.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-482131.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-535119.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6815-768304.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-912177.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6817-955378.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-918355.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-880291.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6820-179348.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6821-795511.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-283699.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6823-444829.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-526443.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-978571.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-972045.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-693737.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-808254.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-119546.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-363959.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-632993.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-121965.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6833-225099.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-705139.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6835-194037.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6836-120153.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-795476.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-229927.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-691704.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-918095.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-804620.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6842-831472.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-280398.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-743789.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-714544.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-720638.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6847-793209.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6848-502440.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-379623.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-650899.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-765819.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-350994.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-847537.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-598929.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-511046.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-529811.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-702938.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-540290.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-660903.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-203164.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-821669.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-170898.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-746103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-583720.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-282593.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-567115.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-740827.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-521086.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-606453.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-197669.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-897952.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-771428.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-143385.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-660287.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-104339.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-232673.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-492485.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-270443.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-559002.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-721301.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-327823.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-295259.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-639497.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-646251.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6885-970193.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6886-956087.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-367327.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-141436.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-706377.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-181665.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-531556.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-533791.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-409591.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-250738.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6895-419973.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6896-730264.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-880868.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-920265.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-616255.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-257498.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-141389.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-951368.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-449934.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-841860.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-304162.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-350279.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-690268.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-443151.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-856439.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-215886.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-573845.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-367642.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-785260.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-158222.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-410469.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-990889.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-403219.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6918-339700.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-296697.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-916218.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-801441.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-793201.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-596282.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-313961.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-124310.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-458564.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-168747.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-910036.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-581340.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-759256.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-514929.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-312616.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-793115.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-259622.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-480595.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-993676.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-662242.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-734922.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-390350.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-898765.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6941-788272.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-132275.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-221256.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6944-351437.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-437600.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-130205.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-293976.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-407844.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-865086.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-569219.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-869188.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-557875.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-589431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-492834.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-174491.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-272487.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-194373.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-542668.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-622292.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-220583.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-842902.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-908112.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-150688.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-520816.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-286968.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-723494.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-768825.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-957658.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-252368.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-454877.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-463999.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-756952.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-664158.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-364238.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6975-276027.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6976-668482.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-147543.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-748519.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-619231.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-364816.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-268990.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-614849.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-377677.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-910060.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-883266.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+6986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-952915.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-563988.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-882231.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-674919.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-135796.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-799965.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6992-960114.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+6993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-906059.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+6994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-810226.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6995-536579.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+6996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-962263.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6997-994871.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-500711.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+6999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-774661.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-769711.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-422093.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-980979.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-684412.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7004-303013.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7005-163954.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-680962.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7007-842820.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-470297.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-693805.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-965768.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7011-450949.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-887730.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7013-535994.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-774816.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-916932.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-786536.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-670180.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-412308.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-282290.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-561213.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-691131.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-321997.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7023-852391.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-152580.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-278630.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-983102.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-900036.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-234381.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7029-947893.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-773169.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-180211.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-817815.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-770041.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-260591.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-343756.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7036-188230.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-597990.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-260794.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-136042.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-375165.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-836191.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-863390.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-920102.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-326722.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-701280.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-994478.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-945440.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-745173.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7049-711179.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-557206.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-419837.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7052-841464.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-577349.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-314472.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-973291.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-385949.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-739252.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-975047.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-687191.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-711974.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-198587.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-967481.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-421858.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-669771.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-599759.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-138123.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-302228.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-765976.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-761583.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-270094.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-362141.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-361786.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-937496.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-525243.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7075-802804.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-619362.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-369174.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-215432.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-409761.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-650653.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-873891.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-647916.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-384530.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-998685.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-169073.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-403232.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-718596.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-183075.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-690012.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-944505.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-868434.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-930369.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-180288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-271315.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-779382.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-254659.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-482901.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-951426.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7099-628456.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-484124.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-635581.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-639377.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-172304.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-990332.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-835916.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-474146.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-176734.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-187518.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-934253.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-570851.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-848883.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-902600.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-417938.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-389799.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-474902.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-587581.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7117-500844.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-747586.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-804445.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-225183.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-996924.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-940536.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-600920.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7124-377630.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-338450.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-335659.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-627257.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-304472.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-809388.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-703876.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-150683.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-683246.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7133-705880.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-779924.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-840249.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-736730.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-717323.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-814024.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-658400.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-974204.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7141-616587.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-242480.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-755343.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-424996.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-222698.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-820178.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-807815.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-575130.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-119326.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7150-292721.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-477680.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-946300.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-940785.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-538324.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-134207.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7156-421944.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7157-730072.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-557709.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7159-183048.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-744832.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-417940.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-628014.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7163-795226.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-433569.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7165-421560.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-759344.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-290398.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-151993.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7169-839514.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-706227.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-499322.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-203332.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-199054.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-836923.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7175-891060.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-165235.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7177-990382.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-930170.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-929179.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-179522.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-806407.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-217321.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-223930.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-889823.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-309802.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-236884.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7187-545344.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7188-204786.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-208153.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7190-328419.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-882860.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-667604.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-175881.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-797624.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-250451.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-232906.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-455024.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-827630.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7199-505376.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-133517.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-298123.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-216937.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-143953.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-387469.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7205-461476.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-761428.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-623946.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-443591.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-173166.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-227121.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-943206.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-168424.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7213-835381.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-889111.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-638667.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-565817.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7217-967974.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-800758.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7219-561831.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7220-560812.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-881171.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-254963.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-544368.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-948711.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-162729.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7226-694626.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-488299.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-148305.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-315425.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-747702.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-817865.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-606571.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-512462.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-933994.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-923768.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-688310.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-504482.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-101066.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-103259.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-588804.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-172148.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-825970.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-826030.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-248579.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7245-733322.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-643361.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-812707.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-145476.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7249-284234.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-657658.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-751071.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-165816.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-871552.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-139363.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-336171.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-232615.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-179264.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-863282.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-971362.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-933086.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-709814.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-828179.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-380570.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-287074.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-645426.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-627971.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-213662.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-545769.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-455122.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-691820.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-758808.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-435230.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-275834.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-215471.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-492187.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-985411.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-228667.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-667529.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-773237.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-523659.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-689063.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-580148.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-454736.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-909075.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7285-739858.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-830898.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7287-709070.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-187911.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-943382.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7290-829392.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7291-178859.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-407287.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-388996.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7294-762654.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7295-666673.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-822146.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7297-836197.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-877276.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-739316.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-860689.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-619080.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-406960.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7303-900514.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-999434.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-987098.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-985587.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-879177.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-369456.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-249803.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-523373.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-765318.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-365918.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-321702.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-975794.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-662854.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-477222.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-532229.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-149795.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-312296.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-396103.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-567560.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-891747.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7323-331372.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-293035.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-813822.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-416036.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-367775.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-700580.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-544336.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-156408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-514006.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7332-825794.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-712213.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-938136.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-681605.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-111116.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-887225.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7338-764913.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7339-368771.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-735329.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-630928.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-333092.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-575758.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7344-271312.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-294366.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-420038.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-131649.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-392569.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-661733.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-661485.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-346192.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-185892.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-231953.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-343436.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-676432.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-240105.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-106712.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-106178.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-308937.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-500218.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-310344.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-754320.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7363-725772.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-129380.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-224802.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-389482.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7367-446905.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-591672.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-335508.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7370-985287.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-810796.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7372-813965.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-786265.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-212765.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7375-588488.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-874790.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-431380.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-372757.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-175661.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-525830.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7381-670833.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-727389.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-537242.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-380529.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-284185.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-636939.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7387-398948.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-452142.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-392280.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-533603.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-958557.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-777723.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-273374.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-550137.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-890148.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-889243.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-439925.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7398-698785.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-505853.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7400-578697.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-224000.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-449299.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-222743.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7404-102938.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-792099.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7406-372268.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7407-178436.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-477804.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7409-333671.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-728686.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-153013.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-551065.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-506092.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-483691.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-274788.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-181440.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7417-299657.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-183279.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-261757.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-666983.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-461945.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-490335.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7423-304064.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7424-949982.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-329634.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-223679.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-677208.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-892620.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-768022.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7430-558879.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-202608.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-297192.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-840200.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-358400.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-125672.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-765084.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-510353.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-621200.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7439-163003.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-766606.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7441-774594.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-960905.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-363295.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-498317.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-405314.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7446-835915.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-803038.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-691768.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-326223.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7450-184651.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-919298.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-331665.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-512163.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-889785.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-146320.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7456-642448.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-406491.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7458-430829.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-244299.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-297387.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-396136.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-764308.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-733865.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
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+7466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7466-482430.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-326845.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+7469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7469-206951.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
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+7471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-581486.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+7473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-517678.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-660352.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-473014.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-427722.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-857660.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-175844.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-435188.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-331585.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-495924.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-484743.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7483-841536.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-471824.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-190521.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7486-255941.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-995258.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-173427.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-695313.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7490-611465.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-182087.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-467088.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-957893.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-963741.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-616130.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-609377.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-626243.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-449783.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-783251.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-411554.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-167435.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-489511.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-574216.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-433482.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-172914.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-487360.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-969138.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-337385.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-119502.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-905630.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-966153.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-306406.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-278141.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-111904.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-986893.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-228847.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-460089.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-722592.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-367259.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-200755.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-246776.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-810117.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-458664.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-292839.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-224707.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-246269.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-496101.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-956723.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-534846.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-183635.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-542943.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-888625.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-464973.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-980764.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7535-213019.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-469837.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-904081.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7538-342509.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-687087.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7540-931503.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-232189.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-643403.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-321033.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-840960.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7545-828433.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-213732.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-904127.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7548-410213.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-847063.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-851812.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-148529.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-223796.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-514781.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-831360.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7555-796642.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-778198.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7557-263509.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-443034.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7559-443965.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-957130.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-492490.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-332691.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-978144.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-828791.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-438994.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-981295.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-806896.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-793356.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7569-675830.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-989231.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-242312.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-469690.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7573-300439.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-419207.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-452480.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-175252.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-809787.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-587665.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7579-319515.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-123585.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-855794.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-842601.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-996644.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-905825.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-353571.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-971915.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-757755.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7588-765090.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-751682.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-780305.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-929964.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7592-948620.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-777933.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7594-404975.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-184184.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-201283.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-287371.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7598-765528.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-101942.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-603234.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-888148.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7602-240884.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-668550.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-577258.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-540307.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-117389.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-997129.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7608-443768.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-332542.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-836596.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-746492.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-233223.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-247286.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-895577.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7615-792973.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-934213.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7617-144747.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-590362.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-613800.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-182599.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7621-185830.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-475925.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-929813.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-316803.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7625-322486.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-836460.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-418194.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-563414.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-897779.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-302925.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-849517.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-628374.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-486869.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-993616.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-770699.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7636-301143.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7637-971108.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-379142.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-398779.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-702864.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-391229.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-240240.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-514290.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-257873.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-527514.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-998702.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-159936.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-382925.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-293024.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-583586.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-497314.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-912389.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-412954.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-771912.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-852217.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-847668.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-846700.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-877224.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-742256.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7660-111222.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-543546.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-902374.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7663-267718.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-388098.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-174087.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-373252.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-671792.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-214281.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-421912.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7670-138311.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-158690.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-364132.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-433359.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-611350.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-828091.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-612180.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7677-293873.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-868592.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7679-287362.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-381475.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7681-159611.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7682-181157.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-292271.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-712232.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-411228.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-228776.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-536168.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-119179.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-299474.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7690-443773.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7691-905509.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-533538.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-724248.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-269609.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-934323.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-251108.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-265897.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-591586.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-964566.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-472338.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-899329.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7702-337989.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-944123.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-242178.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-868337.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-360290.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-666606.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-641174.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-375506.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-112146.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-678101.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-787170.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-740778.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-330520.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-172802.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-542147.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-282883.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-178165.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-222854.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-354109.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-342736.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-268342.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-959188.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-112755.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-549676.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-112104.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7727-134997.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-733475.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7729-891343.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-929807.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7731-965235.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7732-332083.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-595158.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-917648.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-913353.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-783525.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-767122.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-275431.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-262804.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-529190.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-835210.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-379842.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-825930.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7744-761212.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7745-335345.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-908221.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-340545.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-703510.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-788025.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-604981.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-242138.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-282641.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-290470.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-578382.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-825551.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-874737.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-738457.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7758-643722.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7759-967900.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7760-528231.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-502715.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7762-580975.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-478906.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7764-125179.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-643499.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7766-140365.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-573512.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-865844.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-815864.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-436407.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-573191.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-660342.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-870200.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-559984.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-820628.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-351622.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-418352.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7778-516270.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-565734.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-313368.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-572272.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-236274.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-719459.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7784-902602.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7785-932629.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7786-436675.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-542776.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7788-499581.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-234278.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-627837.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-447636.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-264185.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-290172.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-191182.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7795-379760.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-531563.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-698584.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-768164.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-841743.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-813446.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-865187.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-970494.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-279487.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-904490.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7805-905980.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-667590.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-639955.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-364905.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-831891.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7810-295714.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-815866.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-848723.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-181554.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-397174.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-247458.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7816-379711.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-225436.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-842335.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-841355.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7820-557047.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-570016.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-947582.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-115320.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-340678.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-433928.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-682976.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-971426.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-420333.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-314357.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-477464.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-573031.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-475732.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-224461.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-367854.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-632733.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-223905.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-374629.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-285762.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-705150.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-827452.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-474095.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-305242.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7843-729490.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-531676.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7845-291711.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-345140.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-997817.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-877764.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7849-840501.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7850-243037.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7851-580855.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-834255.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-287146.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-380702.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-365298.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7856-149584.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-264195.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7858-659477.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-613580.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-989590.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7861-620997.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-571281.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-914491.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-404431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7865-413215.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-357796.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-559160.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7868-411725.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-615374.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7870-968814.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-701838.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-322972.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-754452.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-261892.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-666649.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-208712.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-396738.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-115858.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-233399.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-683517.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7881-620179.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7882-327202.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7883-387600.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-823449.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-269180.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-435914.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-952198.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-548688.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7889-441545.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-927666.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7891-408518.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-747442.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-270546.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-521567.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-702117.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-866878.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-571336.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-708547.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-405302.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7900-567037.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7901-248369.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-124650.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-848679.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7904-117207.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-919108.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-115917.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7907-601991.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-633309.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-784408.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-141711.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-155246.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7912-445441.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-333668.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-285414.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-447072.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-596506.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-543814.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7918-513660.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-730110.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-879440.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-335762.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-514923.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-609851.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-563752.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7925-417054.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-121927.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-146961.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-113728.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-354125.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-904598.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-376031.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7932-840085.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-348409.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7934-570761.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-580691.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-308219.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-564629.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-103257.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-221640.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-774259.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-500134.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-726122.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-358830.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-465478.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7945-845408.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7946-689236.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-365958.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7948-811593.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-819738.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-306503.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7951-871911.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-226460.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-254518.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-429291.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-862242.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-258053.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-657210.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-344504.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-254419.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-108559.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-578962.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7962-263822.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-580214.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-755823.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-492926.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-786112.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-929911.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-203374.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-580417.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-192480.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7971-399658.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-437653.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-529531.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-868506.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-792788.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-386642.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-135483.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-438831.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-490329.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-918476.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-185274.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-821285.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-890549.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-962716.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-374791.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-888490.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-157174.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-388216.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-866508.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-269430.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-954069.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+7992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7992-823135.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7993-758172.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-692364.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+7995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-913619.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+7996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-432974.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7997-321773.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+7998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-486018.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+7999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7999-390758.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-301154.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8001-838849.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8002-915291.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-670451.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-212278.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-354431.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-773473.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-421448.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8008-401597.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8009-632170.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-168627.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8011-249555.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8012-744279.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-763049.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8014-686495.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-760506.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-671520.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-754737.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-771781.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-640080.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-684569.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-899860.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-576310.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-383023.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-836849.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8025-208039.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-602186.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-155382.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8028-647106.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-441274.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8030-185892.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8031-513532.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8032-730218.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-345111.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8034-812339.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-167158.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-103166.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-448293.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-840623.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8039-490501.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-255603.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-375531.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-885107.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-757111.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-892889.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-264135.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-405128.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8047-653108.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-906143.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-722337.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-234451.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-675008.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-660148.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-578196.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-484975.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-745158.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-146603.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-894540.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-191492.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-342019.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-108087.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-113425.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-574937.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-197841.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-889600.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-614575.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8066-569601.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-501095.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-158679.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-116411.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-869290.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-342849.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-950340.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-542548.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-188946.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-596864.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-474096.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-660838.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-266707.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-693032.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-945678.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-945595.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8082-681313.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8083-853116.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-129294.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-249594.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-185132.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8087-367136.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8088-849032.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8089-330438.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-350109.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-413831.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8092-391263.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-696003.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8094-907673.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-718439.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-809489.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-244795.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-718918.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-113764.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-336309.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-383075.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8102-541924.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-118901.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-953213.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-780777.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-955263.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-633270.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-996019.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-143018.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-992542.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-504302.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-402391.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-565780.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-953205.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-778974.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-437272.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-256198.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-730368.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-205417.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-452764.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8121-925396.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-721394.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8123-355655.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-712024.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-172698.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-406310.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-565836.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8128-347930.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-361156.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-692028.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-618839.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-943141.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-654376.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-294532.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-984114.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-671316.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8137-231114.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-717656.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-243573.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-277830.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-161352.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-952082.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-399649.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-467835.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-645342.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-941770.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-199667.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-574068.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-293677.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-985892.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-719965.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-992138.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-130474.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-206099.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-339357.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-809008.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-440710.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8158-957091.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-704161.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-408197.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8161-257231.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-583169.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-815549.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-826430.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-591450.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-840487.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-936964.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-239607.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-312444.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-403708.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-500572.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-612191.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8173-412685.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-776115.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-518575.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-949312.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-995759.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-616689.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-937983.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-688788.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-100578.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8182-931661.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-936205.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-604517.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-271605.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-202960.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-379379.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-914469.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-666702.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-938000.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-207460.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-465279.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-202156.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-500156.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8195-635360.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-620438.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-195330.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-383476.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-446323.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-487599.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-664970.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-665420.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-246509.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-533360.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8205-826843.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-172564.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-805925.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8208-639294.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-260474.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-709942.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-240288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-715963.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-923714.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8214-452798.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-259160.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-353493.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-697348.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-261158.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-511775.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8220-227597.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-910073.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8222-598473.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-195727.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-665131.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-861403.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-884745.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-403882.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-888537.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-717211.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8230-195151.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-363001.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-297634.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-403517.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-686589.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-438590.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-148300.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8237-662064.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-941277.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-665012.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-753905.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-228676.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-971616.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-414363.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-427876.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-602903.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-682706.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-116545.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-418222.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-669416.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-294933.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-905956.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-792994.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-314853.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-657840.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-781162.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-267520.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-260153.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8258-255600.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8259-252495.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-863115.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8261-363280.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-176145.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-139012.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-748303.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-348384.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8266-582659.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-588672.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8268-223251.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-198579.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-200341.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-682293.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-504709.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-582592.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-585015.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-815101.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-310964.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-983931.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8278-287785.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-653756.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-169679.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-155067.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-116661.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-475334.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-654060.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-818564.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-380222.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-273981.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-113703.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-959372.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-957879.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8291-696356.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8292-528360.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-827003.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-858189.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-789872.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-579292.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-264217.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-263258.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-994080.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-960636.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-321344.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-579963.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-778753.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-324269.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-656755.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-882840.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-547445.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-467752.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-747113.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-608698.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-385804.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8312-619949.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8313-869558.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-554792.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8315-164983.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-809023.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-431712.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-161736.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-328037.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8320-881463.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-840943.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8322-591173.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-267621.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-319689.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-244508.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-606437.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-441293.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-774854.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-734841.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-606263.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-158611.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-137423.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-315747.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-528819.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-542050.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-796185.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-153493.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-226749.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-305473.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8340-565524.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8341-651232.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-143059.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-504058.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-424142.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-889522.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-639473.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-855623.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-554307.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-453983.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-114741.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-793261.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-636205.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-853601.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-730744.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-245982.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8356-502693.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-764010.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8358-511811.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-461073.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-348337.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-282085.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-750530.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-145681.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-765540.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8365-628958.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-656018.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-354382.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-365138.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8369-606320.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-506411.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-495535.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-498324.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-807889.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-205144.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-912274.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-567948.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-806510.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8378-923682.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-491192.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-605194.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-708330.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-642754.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8383-881836.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8384-532992.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-500302.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-221442.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-150432.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-480721.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-576955.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8390-442175.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-151269.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-801780.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-284850.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-363869.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-387546.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-774951.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-459833.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-283316.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-507444.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-552631.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-299344.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-914596.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-307780.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-548143.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-505949.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-838019.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-266675.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-844064.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8409-990505.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-931227.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-435157.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-253954.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8413-873723.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-655306.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-770950.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-953995.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8417-902214.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-210889.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8419-214316.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-997969.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-425000.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8422-892745.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-893831.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-722415.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-232048.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-811836.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-888367.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-634250.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-354882.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8430-233704.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-184173.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-160490.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-521310.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8434-711660.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-984900.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-656475.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-310630.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-122456.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-243233.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-512896.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-959417.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-682161.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8443-945273.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-910294.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-351674.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-793586.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-849684.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-313752.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-782399.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-958871.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-346991.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-668353.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-629991.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-112619.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-487423.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8456-568802.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-570807.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8458-840013.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-647418.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-678419.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-599729.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-934552.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-672613.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-596458.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-408749.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-265093.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-274057.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-436337.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-679091.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-464040.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-187963.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-384718.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8473-165611.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-873652.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-378134.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-645492.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-584080.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-475317.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-669935.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-412631.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-359141.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-618692.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-268114.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8484-169615.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-434015.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8486-470400.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-868641.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-703939.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-412640.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-436285.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8491-504582.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8492-879480.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-411713.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-123017.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-821197.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-516719.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8497-876278.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-169924.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-285575.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-195642.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-510536.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8502-670147.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-769461.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8504-982468.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-633020.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-902415.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8507-605697.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-323986.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-100590.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-940824.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-347131.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-465438.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-298512.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-886220.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-801122.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-495291.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-742968.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-118387.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-807505.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-570333.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-297203.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-371893.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8523-183298.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-299626.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-679447.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-173258.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8527-899594.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-206381.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-877219.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-127040.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-806800.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-851613.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-235018.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-336749.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-973482.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-534265.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-562259.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-720354.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-525801.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-977091.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-701278.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-120327.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-400803.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-537647.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-381486.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8546-689073.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-826724.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-177755.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-319668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-739834.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-733251.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-677172.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-785621.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-460538.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-458621.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8556-907554.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-161887.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-603453.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-922924.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-157340.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-894108.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8562-542119.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8563-133995.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-674771.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-355030.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-949047.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-951639.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-873222.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-692393.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-710159.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-400732.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-704959.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-899604.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-648329.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-125904.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-550288.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-855315.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-352813.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-879793.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-748637.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-337642.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-846651.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-231175.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8584-601002.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-478941.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-827244.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-261604.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-855080.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8589-740172.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-197508.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-766592.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8592-660807.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-471686.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-230775.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-350137.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-465941.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8597-621964.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-770368.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8599-475189.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-773836.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-830916.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-911543.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-832428.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-932688.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-657758.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-679046.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-588659.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8608-372560.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-788976.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-347694.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-756621.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-423626.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-495289.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-513451.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-164719.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-328351.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-406525.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-303644.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-499897.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-397963.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8621-837052.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-702291.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-928929.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-140968.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-731206.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-641164.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-753454.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-520754.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-292691.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8630-840530.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-345819.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-673803.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-112569.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8634-830469.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-731752.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-348024.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-895916.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-528223.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-441663.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-272453.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-133856.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-593705.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-840584.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-205313.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-665049.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-390600.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-273807.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8648-407212.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-500712.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-126463.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-948345.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-350767.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-145914.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-692414.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-215791.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-163957.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-550401.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-485998.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8659-558271.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-405296.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-838408.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-229518.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8663-200797.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-836691.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-822454.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-821179.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8667-976045.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-531631.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-154764.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8670-515674.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-311884.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-731819.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-874981.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-572144.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-464114.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-914946.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-864417.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-791901.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-536589.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-428353.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8681-894766.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-168321.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-796988.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8684-662605.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8685-601984.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8686-385748.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-698363.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8688-839934.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-932681.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-915262.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8691-808557.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-633437.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8693-176754.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-141350.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8695-193199.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-684035.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-622393.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-463740.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-633094.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-495620.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-989189.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-114029.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-516830.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-250518.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-144059.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-654353.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-785379.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-853388.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-569243.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-254624.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8711-483866.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-907260.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-567806.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8714-141825.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-223246.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-515977.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-706873.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-874898.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-271932.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-142637.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8721-494978.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-252892.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-995216.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-625477.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8725-326875.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-394414.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-756401.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-265127.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-678164.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-134825.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-649682.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-499130.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-147709.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-308854.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-464937.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-132411.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8737-449595.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-510861.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-836594.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-577744.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-515426.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-450133.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-512698.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-255989.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-636523.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-257010.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-928209.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-808346.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-617461.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-584726.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-363661.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8752-540839.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8753-628061.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-748871.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-215453.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-364052.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-792341.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-370165.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8759-221195.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-931177.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-209341.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-190672.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-819876.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-451857.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-969138.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-377401.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-563625.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8768-727486.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-489884.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-684998.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-531902.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-129927.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-608406.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8774-485930.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8775-910185.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-746877.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-322446.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8778-631579.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-222205.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8780-305505.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-471537.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8782-498641.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-855362.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-153080.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-374783.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-364831.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-171735.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-608327.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8789-627918.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-630375.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-283889.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-386645.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-118769.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-308165.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-773005.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-907801.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-755089.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-315784.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-206269.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-506924.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-805223.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-824127.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-641040.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-595158.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-111672.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-551446.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-532768.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-399668.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-227605.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-221456.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-921652.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-189131.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-487323.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-928918.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-343507.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-520986.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-912032.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8818-371339.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-686185.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-158505.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-478486.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-224583.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-853948.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-608496.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-824367.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-982925.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-125478.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-571402.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-688129.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-366393.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8831-105914.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-560355.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-975129.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8834-365283.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-190083.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-697980.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-297578.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-825139.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-874957.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-833758.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-204022.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-998258.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-108020.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-961477.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-657549.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-105555.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-496760.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-804750.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-655425.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-650388.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-805365.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-778538.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-325117.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-158973.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-145917.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-107355.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-418258.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-413548.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-203257.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-127792.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-356147.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-285195.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-299924.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-635545.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-504105.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-825927.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-785591.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-674534.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8869-874618.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8870-720549.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-691496.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-395732.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-902027.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-172316.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-859500.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-124776.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-359979.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-609695.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-244341.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-445797.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-955941.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-665672.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-777386.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-382177.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8885-967138.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-474125.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-650864.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-884464.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-748331.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-746744.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-869404.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-587449.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-451690.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-147487.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-907102.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-453521.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-931524.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-143095.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-447735.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-149362.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-187003.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-102435.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-808010.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-975229.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-496239.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-962134.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-508906.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-961487.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-758359.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-193656.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-495097.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-362422.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-342008.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-487234.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-177870.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-128563.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-801304.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-500984.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-434317.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-528318.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-354671.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-397485.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-853962.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-140548.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-533770.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8926-420330.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-971069.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-736926.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-370694.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8930-831582.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-705835.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-262420.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-675509.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-628179.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-465822.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-856364.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-226441.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-490629.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-612972.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-972471.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-285933.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-431709.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-689923.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-668889.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-844006.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-223131.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-852451.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-579447.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-872934.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-591843.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-342536.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-117019.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-811096.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-532871.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-304346.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8956-776843.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8957-846028.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-945254.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-330005.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-746425.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-269659.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-841505.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-997358.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-231041.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-950223.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-131713.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-179781.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8968-884460.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-676970.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-815252.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-213001.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-533016.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-483136.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-791666.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-133699.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-769884.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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+8978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-992426.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-234967.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-317779.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-698986.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
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+8983,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-627131.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8984,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-236701.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8985,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-754385.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8986,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-983065.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8987,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8987-366463.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8988,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8988-637143.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8989,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-185539.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8990,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-287351.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+8991,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-325695.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8992,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-519408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8993,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-941775.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+8994,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-356610.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8995,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-558671.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+8996,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-546627.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8997,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-744027.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+8998,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8998-880694.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+8999,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8999-763717.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9000,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9000-582014.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9001,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-702242.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9002,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-177617.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9003,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-508271.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9004,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-626704.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9005,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-541302.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9006,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-658560.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9007,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-275316.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9008,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-257962.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9009,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-744311.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9010,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9010-107729.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9011,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-840842.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9012,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-514617.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9013,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9013-869264.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9014,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-131417.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9015,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9015-727505.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9016,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-173350.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9017,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-765199.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9018,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-563129.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9019,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9019-770618.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9020,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-490148.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9021,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-836369.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9022,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9022-750301.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9023,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-435146.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9024,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-224922.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9025,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-793365.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9026,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-643058.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9027,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-163550.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9028,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-477376.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9029,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-966574.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9030,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-825931.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9031,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-377333.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9032,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-893022.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9033,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9033-636798.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9034,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-598052.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9035,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-216475.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9036,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-340489.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9037,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-906268.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9038,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-489552.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9039,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9039-438432.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9040,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-783543.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9041,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9041-923475.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9042,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9042-635106.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9043,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-230498.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9044,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9044-361636.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9045,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-533192.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9046,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9046-619151.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9047,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-560700.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9048,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-642652.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9049,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-161887.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9050,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-207069.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9051,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-739808.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9052,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-417847.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9053,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-918425.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9054,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-161192.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9055,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-310381.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9056,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9056-941327.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9057,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-951767.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9058,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-754473.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9059,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-919550.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9060,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-119200.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9061,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-831246.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9062,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-727896.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9063,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-852770.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9064,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9064-437910.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9065,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-971133.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9066,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-169974.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9067,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-196216.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9068,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-880942.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9069,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9069-743997.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9070,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-931201.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9071,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-281380.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9072,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9072-605205.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9073,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-928987.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9074,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-940946.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9075,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-853624.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9076,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-234137.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9077,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-972413.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9078,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-672479.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9079,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-315141.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9080,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-641040.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9081,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-946203.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9082,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-686669.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9083,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-906903.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9084,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-892692.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9085,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-638281.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9086,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-333930.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9087,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-960471.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9088,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-888627.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9089,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-573919.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9090,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-766498.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9091,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-178221.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9092,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-221509.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9093,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-641384.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9094,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-381797.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9095,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-373551.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9096,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-302759.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9097,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9097-632950.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9098,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9098-755926.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9099,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-576676.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9100,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-502650.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9101,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-126254.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9102,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-291511.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9103,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-571288.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9104,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-647470.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9105,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9105-830095.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9106,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-680096.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9107,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-207416.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9108,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-969019.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9109,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-457325.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9110,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-139867.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9111,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-363845.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9112,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9112-939370.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9113,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9113-892493.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9114,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-648544.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9115,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-721917.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9116,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-549012.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9117,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-164149.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9118,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-775344.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9119,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-244808.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9120,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-961036.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9121,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-297217.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9122,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-263625.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9123,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-640078.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9124,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9124-700214.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9125,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-775202.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9126,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-480008.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9127,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-139759.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9128,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-156253.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9129,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-873742.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9130,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-809312.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9131,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-209960.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9132,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9132-340776.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9133,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9133-614316.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9134,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-335900.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9135,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-667180.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9136,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-346457.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9137,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-669761.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9138,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9138-354963.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9139,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-516946.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9140,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-655106.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9141,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-790185.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9142,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-835368.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9143,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-740857.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9144,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-696336.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9145,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-380025.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9146,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-948661.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9147,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-914095.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9148,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-802202.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9149,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-748028.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9150,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-722724.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9151,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-951252.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9152,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-761123.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9153,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-198838.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9154,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9154-117687.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9155,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-897501.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9156,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-683737.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9157,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-400149.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9158,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-155573.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9159,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-113907.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9160,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-425505.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9161,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-844478.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9162,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-416430.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9163,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-151668.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9164,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-955314.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9165,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-978905.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9166,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-101560.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9167,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-666877.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9168,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-897732.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9169,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-833746.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9170,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-374965.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9171,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-667508.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9172,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-611025.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9173,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-655902.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9174,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-734981.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9175,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-892215.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9176,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-933247.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9177,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-639165.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9178,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-432524.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9179,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-267160.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9180,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-255089.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9181,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-470509.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9182,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-468101.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9183,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-182449.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9184,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-305988.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9185,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-925216.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9186,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9186-115814.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9187,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-334028.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9188,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-292898.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9189,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9189-636264.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9190,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9190-625759.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9191,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-572446.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9192,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-944488.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9193,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-479427.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9194,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-457600.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9195,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-461714.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9196,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-367938.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9197,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-184715.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9198,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-396159.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9199,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-231959.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9200,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-537724.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9201,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-962475.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9202,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-396760.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9203,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-218891.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9204,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-298288.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9205,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-854394.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9206,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-712694.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9207,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-428656.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9208,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-567139.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9209,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-149019.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9210,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9210-280735.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9211,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-444241.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9212,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-280749.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9213,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-667939.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9214,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-939176.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9215,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-529348.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9216,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-298274.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9217,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-865805.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9218,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-398203.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9219,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-765089.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9220,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-809274.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9221,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9221-179005.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9222,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-849639.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9223,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-647269.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9224,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-814336.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9225,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-382309.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9226,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-909007.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9227,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-255585.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9228,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-934963.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9229,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9229-261501.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9230,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-986437.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9231,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-164895.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9232,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-533460.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9233,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9233-257671.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9234,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-149761.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9235,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9235-205127.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9236,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-332343.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9237,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9237-348340.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9238,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-719623.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9239,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-113816.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9240,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-162494.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9241,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-420277.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9242,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-380108.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9243,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-679753.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9244,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-193238.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9245,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-810981.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9246,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-542612.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9247,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-335375.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9248,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-568780.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9249,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-477092.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9250,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-630161.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9251,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-371788.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9252,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-340163.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9253,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9253-642596.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9254,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-400923.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9255,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-334660.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9256,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-597271.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9257,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-444825.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9258,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9258-107963.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9259,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-187041.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9260,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-570337.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9261,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-786983.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9262,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9262-169091.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9263,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-814693.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9264,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-298513.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9265,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-958222.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9266,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9266-501181.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9267,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-227384.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9268,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-123984.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9269,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-787723.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9270,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-787077.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9271,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-491569.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9272,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-579938.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9273,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-658456.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9274,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-382895.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9275,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-269213.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9276,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9276-891057.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9277,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-835733.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9278,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-933129.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9279,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-516624.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9280,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-970425.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9281,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-853545.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9282,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9282-375713.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9283,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-933252.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9284,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-244284.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9285,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-306129.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9286,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-237140.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9287,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-393508.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9288,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-509057.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9289,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-856393.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9290,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-494781.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9291,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-574185.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9292,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9292-172682.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9293,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9293-591455.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9294,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-779404.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9295,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-179950.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9296,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-122890.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9297,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-743154.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9298,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-923278.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9299,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-175029.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9300,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9300-298160.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9301,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-567017.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9302,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-311727.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9303,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-606435.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9304,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-711978.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9305,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-151895.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9306,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-460031.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9307,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-400374.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9308,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-985769.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9309,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-387963.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9310,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-901133.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9311,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-632208.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9312,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-294062.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9313,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-426273.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9314,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-180159.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9315,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9315-533840.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9316,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9316-806150.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9317,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9317-819950.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9318,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-518619.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9319,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9319-224372.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9320,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-612665.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9321,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-814781.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9322,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-878823.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9323,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-766684.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9324,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-282290.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9325,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-862913.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9326,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-691145.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9327,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-330849.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9328,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9328-258885.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9329,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-634666.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9330,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-810148.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9331,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-481780.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9332,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-201648.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9333,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-957707.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9334,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-201102.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9335,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-403987.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9336,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-920160.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9337,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-275925.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9338,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-780518.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9339,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9339-242188.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9340,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-531266.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9341,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-850234.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9342,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-233905.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9343,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-895923.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9344,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-470107.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9345,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-474700.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9346,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-540842.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9347,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9347-319167.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9348,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-987002.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9349,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-574446.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9350,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9350-399952.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9351,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-626224.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9352,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-703068.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9353,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-826674.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9354,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9354-569317.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9355,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-657893.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9356,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-742889.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9357,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-202064.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9358,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9358-542425.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9359,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-636895.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9360,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-514284.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9361,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-770791.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9362,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-252470.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9363,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-985068.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9364,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-358040.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9365,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9365-933989.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9366,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9366-966236.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9367,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-453764.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9368,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9368-252595.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9369,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-682943.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9370,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-730101.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9371,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-512844.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9372,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-934209.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9373,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-883459.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9374,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-487107.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9375,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-348500.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9376,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-777849.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9377,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-253306.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9378,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-186171.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9379,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-484462.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9380,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-675585.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9381,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-665401.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9382,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-531709.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9383,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9383-493696.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9384,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-808189.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9385,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-676242.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9386,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-130231.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9387,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-807143.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9388,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-680824.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9389,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-387455.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9390,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-800298.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9391,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-610663.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9392,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-677527.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9393,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-244917.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9394,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-211873.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9395,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9395-881155.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9396,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-811167.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9397,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-771636.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9398,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-248908.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9399,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-410317.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9400,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-743038.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9401,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-965962.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9402,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-905781.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9403,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-154273.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9404,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-941009.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9405,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-323179.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9406,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-925411.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9407,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-451963.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9408,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-515347.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9409,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-925554.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9410,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-906564.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9411,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-519104.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9412,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-296742.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9413,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-592668.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9414,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-898356.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9415,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-154417.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9416,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-314419.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9417,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-169922.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9418,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-859146.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9419,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-836381.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9420,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-819550.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9421,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-910785.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9422,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-437475.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9423,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9423-476774.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9424,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-242598.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9425,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-197994.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9426,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9426-474275.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9427,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9427-774534.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9428,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9428-803086.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9429,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-565676.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9430,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-372201.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9431,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-682445.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9432,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-501035.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9433,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9433-426941.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9434,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-499920.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9435,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9435-224546.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9436,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-388403.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9437,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-707372.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9438,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-789766.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9439,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-374843.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9440,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-839897.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9441,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-125264.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9442,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-864152.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9443,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9443-322047.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9444,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9444-514516.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9445,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-305992.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9446,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-483633.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9447,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-951787.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9448,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-587353.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9449,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-558047.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9450,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-382124.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9451,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9451-163684.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9452,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-276131.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9453,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-888232.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9454,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-813754.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9455,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-743662.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9456,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-124578.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9457,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-394604.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9458,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-126896.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9459,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-540830.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9460,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9460-112853.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9461,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9461-738845.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9462,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-858921.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9463,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-116329.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9464,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9464-509610.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9465,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-977311.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9466,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9466-946069.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9467,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-463562.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9468,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-555739.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9469,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-632468.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9470,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-411798.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9471,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9471-276896.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9472,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-708093.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9473,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-453981.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9474,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9474-536410.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9475,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-757256.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9476,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-468440.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9477,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-959097.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9478,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-642680.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9479,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-466765.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9480,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-802043.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9481,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-588416.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9482,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-339901.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9483,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-865613.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9484,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-834997.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9485,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9485-864526.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9486,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9486-554767.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9487,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-650815.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9488,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-363202.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9489,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-894426.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9490,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9490-521765.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9491,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9491-941778.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9492,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-984581.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9493,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-756787.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9494,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9494-733995.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9495,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-356839.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9496,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-465115.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9497,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-227677.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9498,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-765157.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9499,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-735003.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9500,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-748406.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9501,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-900071.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9502,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9502-697083.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9503,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-180330.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9504,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9504-507217.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9505,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-495349.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9506,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9506-631847.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9507,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-369735.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9508,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9508-755940.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9509,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9509-751406.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9510,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-855050.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9511,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9511-565937.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9512,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-119058.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9513,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-259548.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9514,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9514-242352.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9515,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9515-561754.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9516,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-478180.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9517,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-234186.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9518,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9518-444014.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9519,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-521794.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9520,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9520-627489.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9521,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-534659.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9522,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-834182.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9523,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-801033.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9524,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-720094.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9525,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-366113.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9526,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-670027.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9527,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-239271.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9528,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-609883.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9529,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-527952.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9530,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-341337.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9531,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-473658.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9532,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-150317.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9533,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-841204.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9534,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-926362.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9535,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-772552.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9536,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-464923.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9537,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-131265.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9538,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-227194.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9539,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-529622.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9540,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-875362.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9541,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-263179.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9542,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-429129.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9543,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-602791.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9544,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-450277.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9545,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-982319.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9546,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-421623.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9547,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-650575.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9548,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-317645.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9549,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-705270.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9550,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-875391.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9551,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9551-920050.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9552,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-529629.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9553,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-447163.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9554,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-720316.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9555,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-105908.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9556,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-382438.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9557,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-840766.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9558,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-102168.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9559,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-493880.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9560,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-246581.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9561,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-346161.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9562,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-500304.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9563,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-934878.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9564,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-233304.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9565,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-301460.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9566,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-766981.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9567,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-813222.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9568,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9568-120699.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9569,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9569-149367.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9570,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-317750.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9571,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-963020.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9572,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-169764.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9573,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-500717.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9574,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-763314.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9575,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-451147.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9576,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-640048.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9577,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-355665.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9578,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-848819.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9579,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-855201.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9580,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-811070.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9581,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-300763.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9582,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-145167.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9583,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-522763.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9584,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-900787.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9585,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9585-892122.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9586,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-211987.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9587,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9587-453362.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9588,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9588-628818.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9589,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-779112.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9590,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-887244.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9591,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-487637.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9592,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-622352.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9593,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9593-815062.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9594,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-800126.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9595,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-203635.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9596,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9596-298542.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9597,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-142065.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9598,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9598-240668.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9599,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9599-611587.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9600,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9600-570786.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9601,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-167196.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9602,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-721499.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9603,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-903915.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9604,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-873816.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9605,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-505398.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9606,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-442451.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9607,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-735600.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9608,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9608-520691.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9609,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-420981.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9610,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-475581.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9611,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-778909.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9612,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-555757.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9613,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9613-945747.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9614,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9614-617699.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9615,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-757580.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9616,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-909199.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9617,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-204081.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9618,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-356901.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9619,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-606211.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9620,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-673727.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9621,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-673861.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9622,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-392976.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9623,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-217598.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9624,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-647916.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9625,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9625-729681.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9626,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-608018.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9627,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9627-285082.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9628,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-676437.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9629,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-545306.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9630,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9630-926001.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9631,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-835175.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9632,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9632-993223.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9633,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-473508.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9634,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-624521.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9635,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-923124.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9636,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-849493.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9637,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9637-262044.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9638,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-187286.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9639,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9639-367242.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9640,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-564370.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9641,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-567626.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9642,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-583359.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9643,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-535717.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9644,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-778125.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9645,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9645-349900.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9646,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9646-366833.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9647,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-149202.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9648,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-815803.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9649,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-297213.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9650,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9650-302305.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9651,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-202808.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9652,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-149615.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9653,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-412966.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9654,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-557823.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9655,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-245558.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9656,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-581103.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9657,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-351190.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9658,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-906109.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9659,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-133728.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9660,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-435471.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9661,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-496654.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9662,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-357777.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9663,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-982790.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9664,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-424083.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9665,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-735905.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9666,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-235676.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9667,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-104907.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9668,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-254435.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9669,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-697839.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9670,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-304623.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9671,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-413688.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9672,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-770485.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9673,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-114349.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9674,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-848497.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9675,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-684203.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9676,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-755236.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9677,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9677-817306.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9678,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-846522.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9679,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-236580.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9680,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-354581.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9681,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-497622.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9682,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-350747.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9683,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-338513.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9684,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9684-573617.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9685,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9685-881791.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9686,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9686-571883.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9687,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-101944.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9688,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-150256.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9689,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-742206.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9690,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-594273.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9691,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-581319.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9692,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-798866.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9693,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-294718.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9694,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-769060.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9695,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-197244.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9696,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-318386.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9697,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-124277.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9698,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-830594.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9699,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-666723.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9700,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-228239.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9701,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9701-364166.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9702,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-181042.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9703,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9703-688104.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9704,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-928273.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9705,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9705-667822.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9706,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-513342.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9707,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-791122.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9708,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-247224.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9709,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-693135.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9710,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9710-394110.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9711,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-914049.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9712,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-323245.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9713,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-553871.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9714,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-944599.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9715,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-514585.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9716,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9716-614658.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9717,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9717-349757.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9718,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-768968.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9719,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-433814.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9720,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-225535.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9721,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-731605.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9722,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-621452.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9723,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-756339.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9724,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-299330.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9725,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-455837.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9726,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-390433.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9727,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-873931.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9728,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9728-841168.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9729,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-639549.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9730,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-843760.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9731,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-992499.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9732,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-519345.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9733,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-403867.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9734,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-569265.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9735,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-994473.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9736,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-536033.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9737,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-839151.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9738,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-522174.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9739,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-872223.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9740,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-831761.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9741,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-870412.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9742,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-347172.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9743,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-465613.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9744,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-626958.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9745,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-826218.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9746,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-424158.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9747,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9747-663119.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9748,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9748-698480.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9749,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-249717.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9750,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-702544.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9751,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-438782.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9752,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-868483.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9753,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-940461.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9754,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-821544.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9755,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-608489.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9756,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9756-993377.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9757,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9757-791501.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9758,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-914595.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9759,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9759-637011.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9760,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-568438.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9761,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-116743.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9762,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-720104.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9763,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-865526.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9764,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-115702.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9765,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-134974.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9766,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9766-433056.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9767,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-776454.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9768,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-951203.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9769,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-146056.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9770,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-278490.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9771,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-604930.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9772,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-731736.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9773,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9773-330374.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9774,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-922204.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9775,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-270090.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9776,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-178302.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9777,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9777-428589.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9778,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-175304.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9779,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-957924.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9780,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-422757.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9781,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-303275.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9782,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-907656.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9783,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-191133.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9784,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9784-143720.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9785,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-304901.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9786,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-914103.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9787,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-474449.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9788,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-774230.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9789,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9789-245602.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9790,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-723014.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9791,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9791-693265.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9792,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9792-375710.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9793,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9793-405070.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9794,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-271564.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9795,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-456718.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9796,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9796-517492.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9797,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9797-310581.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9798,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-177347.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9799,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-185384.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9800,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9800-730125.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9801,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-147862.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9802,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-354996.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9803,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-157507.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9804,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-549171.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9805,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-191148.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9806,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-278432.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9807,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-939929.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9808,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-313264.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9809,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-751621.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9810,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-337192.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9811,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-620902.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9812,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-873803.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9813,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9813-881666.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9814,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-490765.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9815,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9815-922463.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9816,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-913757.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9817,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-811343.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9818,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-706785.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9819,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-937125.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9820,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-599988.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9821,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-218399.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9822,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-271384.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9823,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-581218.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9824,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-478909.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9825,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-722456.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9826,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-816379.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9827,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-574323.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9828,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-634035.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9829,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-540807.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9830,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-984775.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9831,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-396869.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9832,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-391345.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9833,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-385846.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9834,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-910612.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9835,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-114771.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9836,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-201797.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9837,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-642542.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9838,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-701001.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9839,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-623448.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9840,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-336741.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9841,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9841-638319.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9842,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-326554.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9843,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-290218.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9844,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-874502.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9845,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-163633.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9846,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-496899.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9847,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-276885.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9848,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-834252.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9849,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-673900.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9850,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-770278.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9851,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-967749.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9852,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-594860.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9853,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9853-681115.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9854,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-786178.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9855,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-464035.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9856,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-343839.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9857,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-842089.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9858,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-545907.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9859,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-951750.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9860,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-904408.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9861,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-880617.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9862,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-336317.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9863,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-336690.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9864,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-944906.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9865,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-822204.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9866,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9866-298626.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9867,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-572797.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9868,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9868-266883.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9869,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-825179.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9870,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-631504.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9871,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-472419.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9872,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9872-658042.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9873,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-218450.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9874,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-421403.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9875,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-244857.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9876,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-875116.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9877,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9877-310145.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9878,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-378126.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9879,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-871782.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9880,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-158190.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9881,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-860922.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9882,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9882-686343.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9883,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-176919.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9884,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-615745.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9885,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-987535.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9886,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-688274.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9887,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-148528.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9888,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-144469.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9889,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-940722.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9890,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9890-860936.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9891,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-154186.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9892,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-179135.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9893,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-997652.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9894,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-988474.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9895,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9895-473387.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9896,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-228514.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9897,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-870212.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9898,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-739687.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9899,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-368476.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9900,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9900-897609.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9901,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-980514.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9902,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9902-131513.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9903,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-263316.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9904,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-453230.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9905,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9905-442370.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9906,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-133935.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9907,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9907-845307.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9908,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9908-964232.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9909,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-246358.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9910,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-853626.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9911,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9911-972160.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9912,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-953641.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9913,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-817428.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9914,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-105396.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9915,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-354140.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9916,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-640296.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9917,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-385117.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9918,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-838524.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9919,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-231472.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9920,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-895144.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9921,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-157809.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9922,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9922-792113.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9923,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-863965.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9924,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-150724.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9925,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-988446.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9926,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-936660.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9927,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-500463.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9928,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-326854.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9929,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-867969.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9930,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-278964.",govtech faq-routing latency-aware-pack long-context bilingual,clean,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9931,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9931-115676.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9932,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-450703.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9933,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-148730.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9934,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-748119.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9935,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-326641.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9936,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-449231.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9937,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-636678.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9938,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-314259.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9939,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-428521.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9940,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-851626.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9941,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-931407.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9942,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-286535.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9943,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-484513.",govtech faq-routing latency-aware-pack long-context bilingual,clean,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9944,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-911838.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9945,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-248069.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9946,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-367543.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9947,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-452735.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9948,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-116317.",govtech faq-routing latency-aware-pack long-context bilingual,clean,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9949,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-308557.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9950,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-926358.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9951,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-890191.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9952,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-973512.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9953,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-159792.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9954,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9954-540290.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9955,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-472341.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9956,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9956-554076.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9957,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-687528.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9958,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-987646.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9959,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-119868.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9960,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-584161.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9961,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-480211.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9962,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-717417.",govtech faq-routing latency-aware-pack long-context bilingual,clean,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9963,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-987799.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9964,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-419463.",govtech faq-routing latency-aware-pack long-context bilingual,cinematic,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9965,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-220699.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9966,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-169842.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9967,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-933909.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9968,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-661937.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9969,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-526162.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9970,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-349332.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9971,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-555141.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9972,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-572794.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9973,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-594374.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9974,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-853620.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9975,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-488011.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9976,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-215286.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9977,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-234768.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
+9978,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-193131.",govtech faq-routing latency-aware-pack long-context bilingual,stylized,commercial,2026-02-22T16:18:53.540667Z,1.0000,ok
+9979,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-450973.",govtech faq-routing latency-aware-pack long-context bilingual,detailed,high-precision,2026-02-22T16:18:53.540667Z,1.0000,ok
+9980,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-514922.",govtech faq-routing latency-aware-pack long-context bilingual,production-ready,premium,2026-02-22T16:18:53.540667Z,1.0000,ok
+9981,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: govtech-faq-routing; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-860569.",govtech faq-routing latency-aware-pack long-context bilingual,minimal,benchmark-grade,2026-02-22T16:18:53.540667Z,1.0000,ok
+9982,"Theme: govtech faq-routing latency-aware-pack long-context bilingual; Domain: faq-routing-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-382282.",govtech faq-routing latency-aware-pack long-context bilingual,clean,consistent,2026-02-22T16:18:53.540667Z,1.0000,ok
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